Next Article in Journal
CK2 Inhibition and Antitumor Activity of 4,7-Dihydro-6-nitroazolo[1,5-a]pyrimidines
Next Article in Special Issue
(±)-Cryptamides A–D, Four Pairs of Novel Dopamine Enantiomer Trimers from the Periostracum Cicadae
Previous Article in Journal
Chemical Composition and Antifungal, Anti-Inflammatory, Antiviral, and Larvicidal Activities of the Essential Oils of Zanthoxylum acanthopodium DC. from China and Myanmar
Previous Article in Special Issue
Phenolic Acids from Fructus Chebulae Immaturus Alleviate Intestinal Ischemia-Reperfusion Injury in Mice through the PPARα/NF-κB Pathway
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Identification of Hair Growth Promoting Components in the Kernels of Prunus mira Koehne and Their Mechanism of Action

1
College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
2
College of Ethnomedicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Molecules 2022, 27(16), 5242; https://doi.org/10.3390/molecules27165242
Submission received: 5 June 2022 / Revised: 4 August 2022 / Accepted: 10 August 2022 / Published: 17 August 2022

Abstract

:
The application of the seed oil of Prunus mira Koehne (Tibetan name ཁམབུ།), a plant belonging to the Rosaceae family, for the treatment of alopecia has been recorded in Jingzhu Materia Medica (ཤེལ་གོང་ཤེལ་ཕྲེང་།) (the classic of Tibetan medicine) and Dictionary of Chinese Ethnic Medicine. This study aims to reveal the effective components and mechanism of hair growth promotion in the kernel of Prunus mira Koehne. Network pharmacology was used to predict the mechanism of action and effective components in the treatment of the kernel of Prunus mira Koehne. The contents of amygdalin in 12 batches of the kernel of Prunus mira Koehne were determined by HPLC. An animal model of the depilation of KM mice induced by sodium sulfide was created, and five effective components that promoted hair growth were initially screened. In the study of the effectiveness and mechanism of action, KM and C57BL/6 mice are selected as experimental objects, three screening tests for active components of the kernel of P. mira are performed, and three effective components are screened out from the eight components. HE staining was used to detect the number of hair follicles and the thickness of the dermis. RT-PCR and immunohistochemistry were used to evaluate the influence of the expression of indicators in the Wnt/β-catenin signaling pathway in skin, including β-catenin, GSK-3β, and mRNA and protein expression levels of Cyclin D 1 and LEF 1. The network pharmacology study showed 12 signaling pathways involving 25 targets in the treatment of alopecia by the kernel of Prunus mira Koehne. vitamin E (3.125 mg/cm2/d), β-sitosterol (0.061 mg/cm2/d), and linoleic acid (0.156 mg/cm2/d) in the kernel of Prunus mira Koehne can promote hair growth in mice, and the mechanism of action may be related to the Wnt/β-catenin pathway.

Graphical Abstract

1. Introduction

Prunus mira Koehne, a plant belonging to the Rosaceae family, is named P. mira in Latin and ཁམབུ། in Tibetan (Kangbu, Holdkan) [1]. It is the direct origin of peach in Yunnan Province and the southwestern of Sichuan Province [2], and it is a rare “living Fossil Group” of peach genetic resources in the world. It has the characteristics of fast growth, long life, drought and cold tolerance. According to Commonly Used Chinese Medicinal Materials Quality Sorting and Quality Research (1997) [3], P. mira is distributed in the border areas of Sichuan Province, Yunnan Province and Tibet Autonomous Region, as shown in Figure 1. The main distinguishing points of P. mira and other species, such as Amygdalus kansuensis (Rehd.) Skeels and peach, are smooth surface of the pit, absence of holes, and has shallow and wide longitudinal grooves. Both Jingzhu Materia Medica (ཤེལ་གོང་ཤེལ་ཕྲེང་།) (the classic Tibetan medicine), compiled by the renowned Tibetan pharmacist Diamer Danzeng Pengcuo over roughly a period of 20 years, was finished in 1743 [4], and Dictionary of Chinese Ethnic Medicine record that the kernel oil of P. mira can darken and grow hair, it can treat alopecia. In addition, the Dictionary of Chinese Ethnic Medicine also records that the burnt ash of fruits of P. mira can be used to treat trauma and constipation, and grasserie [5]. According to Sichuan Province Standard for Chinese Medicinal Materials (2010) [6], its efficacy is consistent with that of Amygdalus persica L., which is used in traditional Chinese medicine. Nowadays, in addition to the kernel of A. persica. and Amygdalus davidiana (Carrière) de Vos ex Henry, some kernels of P. mira in the market are for sale [7].
Article 8 (j) of The Convention on Biological Diversity introduced the concept of “indigenous and local communities”. The Nagoya protocol on access and benefit sharing many of the core terms involves “indigenous and local communities” and requires users to obtain the “prior informed consent” of “indigenous and local communities” when accessing genetic resources and related traditional knowledge and share benefits equally with “indigenous and Local communities” [8]. Researchers should have ethnic and folk medicine knowledge from the people to serve the people’s idea [9]. Specimens of P. mira are collected from Sichuan and Yunnan provinces. The research group has good communication with local residents. The researchers have complied with the above conventions when conducting research of P. mira. The fast growth, strong adaptability, cold tolerance, longevity, and other features of P. mira have laid a good foundation for its development and utilization. It is a natural green organic food. At the same time, the fruit of P. mira has low sugar content and is rich in elements, such as Zn, Ca, and K, due to the special geography and climate of Tibetan areas. Compared with the fruits of Amygdalus persica L., the P. mira fruit has 2–3 times higher Zn content and more than 10 times vitamin C content [10,11]. It is a good original material for cultivating cold-resistant and long-lived peach varieties. The existence of plant cold-resistant genes can also provide huge genetic and hybrid value [12]. At present, GC-MS is used to identify the fat-soluble components of P. mira. There were 35 compounds, mainly oleic acid, β-sitosterol, trans-squalene, and vitamin E, with four unique compounds [13]. The contents of vitamin E, squalene, and β-sitosterol were determined by HPLC [14]. Oleic acid, linoleic acid, vitamin E, and other chemical components may have an effect on hair growth. However, the composition of the kernel of Prunus mira Koehne is complex, and the current control indicators are difficult to control its quality. Therefore, our research group determined the content of some of the chemical components related to hair growth.
Hair, an important accessory structure of the skin, protects the body. For example, hair can reduce the heat loss from the head [15]. The hair growth cycle can be divided into growth, regression, and resting periods. In the growth period, the cells at the bottom of hair follicles receive proliferation signals and extend and differentiate into the dermis to form hair follicles. During the growth period, the central column layer of the hair follicle first extends to the subcutaneous tissue and then grows back to form the hair shaft after reaching a certain depth. The growth period can be divided into six subperiods. The difference in the growth status of the hair follicles in the first five subphases is little, and the last subphase determines the length of the hair shaft. In some species, the hair follicles at the same location may have their own growth rhythms (such as humans and guinea pigs), and in some rodents (mice), the hairs at the same location are almost in the same hair cycle. At present, the factors affecting the hair follicle cycle include hair follicle damage, abnormal growth cycle, surrounding hair follicle growth cycle, and endocrine [16].
Alopecia is a skin disease characterized by hair loss [17] and is divided into seven levels in accordance with the area of hair loss. Studies found that its pathogenesis is related to heredity [18], endocrine [19], mental state [20]. It is pointed out that about 1/6 people in China have hair loss, among which 64% are men, and hair loss tends to be younger. Alopecia can lead to a decline in the quality of life [21], it has a greater impact on people’s appearance [22] and easily causes psychological burden [23,24]. Thus, the treatment of alopecia has become the focus of attention in the field of dermatology and the public. Nowadays, the drugs commonly used to treat hair loss are minoxidil and finasteride. Minoxidil can make hair grow and thicken and requires long-term medication. However, it is easy to relapse after stopping the drug [25]. Finasteride can inhibit the conversion of testosterone to dihydrotestosterone, thereby improving hair loss caused by strong androgen secretion. However, finasteride can easily cause sexual function problems [26]. The commonly used drugs for hair loss treatment in traditional Chinese medicine include Fallopia multiflora (Thunb.) Harald., Ligustrum lucidum Ait., Platycladus orientalis (L.) Franco., and Polygonum multiflorum Thunb. The commonly used traditional Chinese medicine compounds include traditional Chinese medicine hair growth liquid, Sangbai hair growth recipe, hair growth mixture of Ginkgo biloba L., and hair growth tincture [27]. In addition to drug treatment, plum blossom needle tapping, silver needle acupuncture, point injection, moxibustion, and other methods are commonly used to treat alopecia. The literature reported that the combination of vitamin E and plum blossom needle tapping is effective in treating alopecia areata [28]. Although the drugs and methods used in the clinical treatment of hair loss in modern medicine include minoxidil, finasteride, dutasteride, ketoconazole, prostaglandin drugs, laser therapy, hair transplantation [29,30], it is easy to relapse.
Network pharmacology is a technology that combines multiple disciplines such as systems biology, pharmacology, and computer science to mine and analyze drug targets [31]. Traditional Chinese medicine monomer and compound are the main application methods of modern Chinese medicine in the prevention and treatment of diseases. Therefore, the application of network pharmacology methods to study the relationship between the components of traditional Chinese medicine and the complex system of biological organisms is conducive to the discovery of the main compounds in traditional Chinese medicine that exert efficacy, determination of the molecular mechanism of drug prevention and treatment, and explanation of the mechanism of action of traditional Chinese medicine from a molecular perspective [32]. Network pharmacology is currently used to explain mainly the active components and mechanism of action of preparations or medicinal materials [33]. The traditional method of studying active components in Chinese pharmacy has laid a good foundation for the development of network pharmacology but has a large workload and low efficiency and is time-consuming. Existing research results showed that network pharmacology can reduce workload and save manpower and resources by simulating the interaction between drugs and the body [34]. Wu guosong [35] applied network pharmacology and found that compounds, such as geranidin, dihydrochelerythrine, and sesamin, contained in Zanthoxylum nitidum (Roxb.) DC. show potential anti-inflammatory activities due to the anti-inflammatory effects of COX-2 and MAPK14. The TNF signaling pathway is a potential signaling pathway for Zanthoxylum nitidum (Roxb.) DC. to achieve anti-inflammatory effects. Tao et al. [36] used network pharmacology to study the relationship between the prescriptions of Curcuma aromatica Salisb. recipe and found that the C. aromatica recipe may improve nutritional and metabolic diseases. The databases commonly used in network pharmacology can be divided into chemical and biological information-related databases. Commonly used chemical information-related databases are Traditional Chinese Medicine System Pharmacology Database and Analysis Ping (TCMSP), Taiwan Traditional Chinese Medicine Database (TCMD@Taiwan), and Traditional Chinese Medicine Comprehensive Database [37]. Commonly used biological information-related databases can be roughly divided into three categories. First, databases, such as Uniprot, Parmmaper, and Drug Bank, are used to find information about biological targets related to drugs or chemical components. Second, databases, such as OMIM and Genecard, are used to find disease-related targets. Third, databases, such as Sring, Mint, IntAct, are used to establish protein interaction relationships [38].
Previous studies found that the fat-soluble components of the kernel oil of P. mira within the range of 15.06–60.26 mg/cm2/d affect hair growth, but the effective components remain unclear [39]. The acute toxicity of the kernel oil of P. mira to mice, rats, and rabbits is studied, and results showed that the maximum doses of the kernel oil of P. mira administered orally to rats and mice are 144.612 and 289.224 g/kg/d, respectively. The safe maximum dose of the kernel oil of P. mira administered to rabbits through the skin is 482.28 mg/cm2/d [40]. The kernel of P. mira is safe for clinical use, and its fat-soluble components have no evident long-term toxicity on rats and irritation on the skin. However, the application of fat-soluble components on the scalp of the patient causes discomfort and cannot achieve the effect of clinical application. By looking for the main components or parts of the kernel of P. mira that exerts the medicinal effect, we can further clarify the mechanism of the kernel of P. mira promoting hair growth and improve the drug form for clinical use. This article first studied the effective components of the kernel oil of P. mira to promote hair growth. In accordance with previous research results and network pharmacology technology [39], eight kinds of components, including β-sitosterol and linoleic acid, are selected to evaluate the pharmacodynamics of promoting hair growth in KM and C57BL/6 mice and passed the pharmacodynamic evaluation screening. The components that have evident effects on promoting hair growth, namely, β-sitosterol, linoleic acid, and vitamin E, have also been initially explored. These three components in the kernel of P. mira are determined to improve quality and reveal the effective components of the kernel of P. mira promoting hair growth and its mechanism.

2. Material and Methods

2.1. Network Pharmacology Predicts the Mechanism and Active Components of the Kernel of P. mira in the Treatment of Hair Loss

Network pharmacology data collection first collected and sorted the chemical components of the kernel of P. mira through literature search, collected the components and the corresponding targets of the disease with the help of the database, and then matched the two targets to predict the mechanism of the kernel of P. mira treatment for alopecia for subsequent research and treatment. The mechanism of alopecia provides a reference. The database and analysis software used in network pharmacology are shown in Table 1. The chemical composition of the kernel of P. mira was comprehensively collected through modern biomedical literature databases, such as CNKI, VIP database, Pubmed, and Wanfang database, due to non-availability of data in TCMSP, TCMD@Taiwan, PubChem, and other databases. Drugs and disease-related targets were analyzed and screened. The chemical structure of its chemical components was searched in Pubchem database, 2D and 3D SDF files were downloaded, and then the Palmmapper database was used to collect target proteins of the components. In accordance with the synthesis of the Palmmapper database Score, genes with score >0.6 were selected. GeneCards was used to search the keywords “hair loss” and “alopecia” to search disease targets. The component-related targets of the kernel of P. mira and the alopecia disease-related targets were taken to intersect to obtain a common potential target and draw a Venn diagram. The relationship files among drugs, components, targets, and diseases were sorted out, and the Cytoscape software was used to draw a network diagram of drugs-components-targets-disease. Potential targets were imported into String, and score > 0.4 was selected to predict the interaction relationship between protein and protein. The degree of topological parameter was used to evaluate the importance of the target, and the top 30 Hub genes and PPI files were obtained. The PPI relationship files obtained by String were imported into the Cytoscape software to draw PPI diagrams. The Metascape database was used for Gene oncology (GO) enrichment analysis to find the biological processes, molecular functions, and cell composition of potential targets involved in the body. The Metascape database was used for KEGG enrichment analysis.

2.2. The Contents of Amygdalin in the Kernel of P. mira Were Determined by HPLC

2.2.1. Materials

Twelve batches of the kernel of P. mira were collected from Sichuan Province, Yunnan Province and other places in China. The collected specimens were identified as P. mira by Minru Jia, who was the professor of Chinese medicine identification at Chengdu University of Traditional Chinese Medicine. The voucher specimen was preserved in the college of ethnomedicine, Chengdu University of Traditional Chinese Medicine. HPLC analyses were carried out using Shimadzu LC-2030 high performance liquid chromatograph (Shimadzu, Kyoto, Japan), and the purity by HPLC detection was greater than 97%. The CPA2250 electronic balance was purchased from Sartorius, Goettingen, Germany. The reference substances of amygdalin (batch number PS20190922) were purchased from Chengdu Pusi Biotechnology Co., Ltd., (Chengdu, China). The purity by HPLC detection was greater than 97%. Acetonitrile (chromatographically pure) was purchased from Anhui Tiandi High Purity Solvent Co., Ltd., (Anqing, China), and methanol (analytical pure) was purchased from Sigma-Aldrich Trading Co., Ltd., (Saint Louis, MO, USA), and water was ultra-pure water, and other reagents were analytically pure.

2.2.2. Sample Preparation

Desheng oil press was used to extract seeds at 40 °C. The optimum extraction conditions were obtained by experiments of different temperatures, different solvents, different extraction times, different extraction volumes, and different extraction methods. The preparation method of the test sample of amygdalin was to accurately weigh 0.5 g of the kernel of P. mira, add 25 mL of petroleum ether, ultrasonic (200 W, 40 KHz) for 30 min, and filter out the petroleum ether, add 25 mL of methanol solution, ultrasonically extract for 30 min, filter, transfer the filtrate to a 25 mL volumetric flask, make constant volume of methanol, and pass through a 0.45 μm microporous membrane [41].

2.2.3. HPLC Conditions

Shimadzu LC-2030 HPLC (Shimadzu, Kyoto, Japan) was used to determine the content of amygdalin, and the processing of chromatogram and the calculation of peak area was automatically integrated by the computer using LabSolution software (VersionDB, Shimadzu, Kyoto, Japan). The content of amygdalin was determined by HPLC, and different detection wavelengths (203, 210, 220, 230, 242 nm), mobile phase (acetonitrile: water = 30:70, 20:80, 10:90), column temperature (25 °C, 30 °C, and 35 °C), and flow rate (0.8, 1.0, 1.2 mL/min), according to the peak resolution, peak shape, peak area, etc., the best chromatographic conditions were determined. In the preparation of the test product, the following conditions were considered to ensure the best test conditions, such as the extraction method (cold soaking for 12 h, heating and refluxing for 30 min, and ultrasonic for 30 min), extraction solvent (50% methanol, 70% methanol, methanol solution), extraction volume (5, 15, 25 mL), extraction time (15, 30, 60 min).

2.2.4. Preparation and Calibration of Standard Solutions

Amygdalin was accurately weighed 6.4001 mg, and the volume was fixed into 5 mL volumetric flasks. The concentrations of the reference substance stock solution were 1280.00 µg/mL. The stock solutions of the reference substance of amygdalin were diluted two times in sequence, the concentration of amygdalin was 1280.00, 640.00, 320.00, 160.00, 80.00 µg/mL. A total of 10 μL of sample was taken to determine the peak area, and draw the standard curve equation of amygdalin.

2.3. Screening of the Effective Components in the Treatment of Two Depilatory Model Animals with Chemical Components in P. mira

2.3.1. Animals and Test Sites

430 KM mice (SPF grade, 20 ± 2 g, male) and 170 C57BL/6 mice (SPF grade, 6 weeks old, 20 ± 2 g, male and female) were provided by Chengdu Dashuo Experimental Animal Co., Ltd (Chengdu, China). The experimental animal production license number were SCXK (Sichuan Province) 2015-030 and SCXK (Sichuan Province) 2015-030, respectively, and the numbers of experimental animal quality certificates were 51203500006767 and 51203500009764, respectively. All animals were raised in the Science and Technology Building of Chengdu University of Traditional Chinese Medicine. The license number of animal use was SYXK (Sichuan Province) 2020-124. Experiments were carried out in the Ethnomedicine Resource Evaluation Laboratory of Chengdu University of Traditional Chinese Medicine (third-level scientific research laboratory of the State Administration of Traditional Chinese Medicine, No. TCM-2009-320). The abovementioned experimental animals had been reviewed and approved by the Experimental Animal Ethics Committee of Chengdu University of Traditional Chinese Medicine. Its approval number was 2018-23.

2.3.2. Preparation of Experimental Samples

Vitamin E soft capsules (batch number 10891003) were purchased from Xingsha Pharmaceutical (Xiamen) Co., Ltd., (Xiamen, China), with National Medicine Standard H35020242. β-sitosterol (batch number AF8102901), trans-squalene (batch number AF8091427), oleic acid (batch number AF8062708), campesterol (batch number AF8112891), fucosterol (batch number AF8112891), and amygdalin (batch number AF8051847) were purchased from Chengdu Alpha Biotechnology Co., Ltd., (Chengdu, China). Linoleic acid (batch number Y-096-170426) was purchased from Chengdu Pusi Biotechnology Co., Ltd., (Chengdu, China), Minoxidil liniment (batch number 1805-932) was purchased from Sichuan Meidakang Huakang Pharmaceutical Co., Ltd., (Deyang, China). with National Medicine Standard H20052642 and used as a positive control drug [42].
Clinically, the concentration of minoxidil liniment was 20 mg/mL at 0.1 mL each time once a day. The area of hair removal was 4 cm2, and the dosage was 0.5 mg/cm2/d. The dose setting method of the test substance was the same as above. The method was performed in accordance with previous studies [39]. In accordance with previous studies [43], peanut oil was used as a solvent for drugs with low polarity, and physiological saline was used for drugs with high polarity. Pre-experiments were conducted on peanut oil and physiological saline. Peanut oil and physiological saline did not affect the efficacy. Five doses were set for each tested drug (Table 2). The corresponding medicine was accurately weighed, placed in a bottle, and added with solvent. The mixture was shaken with a vortex instrument until complete dissolution or even dispersion was achieved. The prepared medicine was stored in a refrigerator maintained at 4 °C.

2.3.3. Preliminary Screening of Eight Components in the Kernel of P. mira in the Treatment of KM Mice after Depilation Induced by Sodium

430 KM mice were randomly divided into 43 groups, including blank control group, model control group, minoxidil control group, and eight different test drug groups (each test drug had five doses), after stratification by body weight. Ten animals were placed in each group and reared in two cages. Considering that 430 KM mice were needed for eight components and the number of animals was large, the experiment was carried out in batches. Each batch of experiments involved each drug and subgroup of animals. The mice in the blank control group only shaved their back hair by about 2 × 2 cm, and mice in other groups first shaved the back hair of the same area as the mice in the blank control group. Na2S (6%) was evenly applied on the shaved area and washed off after about 2 min. Mice with smooth and undamaged skin was selected for follow-up experiments [44]. Exactly 24 h after making the model, the drug solution was evenly applied to the depilatory area and was allowed to absorb. Mice were observed to prevent them from licking their backs. After the drug solution dried, mice were returned to the cage. Once a day for 7 consecutive days, before each administration, the back area was washed with physiological saline (0.1 mL each time) and no drug was applied before drying [45]. On the second, fourth, and sixth days, the depilated parts of the mice were graded according to the standard [46] (Table 3). After 24 h of the last administration, 5 hair were plucked to measure the hair length of the mice in the middle of the administration area, and the average hair length was measured (cm) [47]. After the animal was sacrificed, the same position was used by a 7 mm punch to take a piece of skin, and all the hair on the skin were scraped off and weighed [48].

2.3.4. To Verify the Effect of Five Active Components in the Kernel of P. mira on C57BL/6 Mice after Depilation Induced by Sodium

170 C57BL/6 mice were randomly divided into 17 groups in accordance with body weight. Ten animals were included in each group and reared in two cages. According to the literature [49] and preliminary experiments, C57BL/6 mice needed external stimulation, such as plucking and sodium sulfide, to enter the growth phase from the resting phase to the hair follicles. Therefore, all experimental mice should be treated with Na2S. There was no blank control group in this experiment. Given that not all 170 mice were in the resting phase (skin was pink), only mice in the resting phase could be modeled and administered. Considering the operability of the experiment, mice were tested in batches. Each batch involved each drug and subgroup of animals. The time when the skin color changed from pink to black was recorded, and the result was rated and photographed on days 7, 14, and 21. Grading standards are shown in Table 2. Considering that the C57BL/6 mice gradually developed hair growth after seven days of administration, hair length was measured on days 14 and 21. The method was the same as the above, and the new hair weight was measured as above. About 0.5 cm2 C57BL/6 mouse back skin tissues of each group were taken for subsequent HE, immunohistochemistry, and RT-PCR detection.

2.4. Mechanism of the 3 Active Components in the Kernel of P. mira in the Treatment of C57BL/6 Mice Depilation Model Induced by Sodium Sulfide

2.4.1. Grouping and General Indicators

Through comprehensive analysis of the results of skin color change time, hair growth status, hair length, and weight of C57BL/6 mice, β-sitosterol group 2 (0.061 mg/cm2/d) and the second group of linoleic acid group 2 (0.156 mg/cm2/d), vitamin E group 2 (3.125 mg/cm2/d) had a better effect on promoting hair growth compared with the others. Thus, one dose group for each of the three components was selected for the mechanism of action.

2.4.2. Skin Histological Observation

On the 22nd day, the skin of the administration area of C57BL/6 mice was fixed, and the inspection and image collection were performed according to the pathological examination SOP procedure. The number of primary hair follicles, the number of secondary hair follicles, the total number of hair follicles and the thickness of the dermis were observed and counted, and the average value was calculated [50].

2.4.3. RT-PCR Detection of mRNA Expression of Four Targets in the Skin Wnt/β-catenin Pathway

On the 22nd day, the skin of the depilated area on the back of the C57BL/6 mice was collected, and total RNA was extracted from the dorsal skin tissue by using the RNA extraction kit (RE-03014, Forgene Biotechnology Co., Ltd., Wuhan, China). Total RNA was reverse-transcribed using the PrimeScript RT reagent kit (RR047A; Bio-Biology, Dalian, China) in accordance with the manufacturer’s recommendations. Reagents were added to the kit in sequence at 42 °C for 2 min. Genomic DNA removal reaction and reverse transcription reaction on the PCR machine are shown in Table 4 and Table 5, respectively. The full sequence of the gene was searched in the NCBI database. The Primer Premier primer design software was designed to screen specific primers for each gene and purified using ULTRAPAGE (Table 6). The real-time fluorescence quantitative PCR reaction is shown in Table 7 and Table 8. The β-actin of the sample skin tissue and the dissolution curves of the four indicators were all single peaks, which indicated that the amplified product was the target product of the corresponding gene and that primer dimers and nonspecific products were not observed (Figure 2a). The amplification curves of the tested genes were smooth and could enter the plateau phase, which indicated that the PCR reaction system and reaction program were set reasonably (Figure 2b). The CT value of each test sample in the PCR process was analyzed, and the relative mRNA expression of X was calculated by 2−ΔΔCT.

2.4.4. Immunohistochemical Method to Detect the Protein Expression of Four Targets in the Skin Wnt/β-catenin Pathway

On the 22nd day, the skin of the depilated area on the back of the mice was fixed and added dropwise with blocking solution at room temperature for 20 min. The pretreated skin was added with GSK-3β antibody (1:200), rabbit β-catenin antibody (1:300), rabbit Cyclin D 1 antibody (1:50), and rabbit LEF 1 antibody (1:100), rinsed, and incubated overnight at 4 °C. The treated skin was then dripped with biotinylated goat anti-rabbit/mouse antibody, incubated at 37 °C for 30 min, washed three times with PBS, developed at room temperature, counterstained, mounted, and finally checked and calculated the optical density.

2.5. Statistical Methods

The measurement data were compared between groups by “independent sample t-test” in SPSS 17.0 software(International Business Machines Corporation, New York, NY, USA), which was expressed by “mean ± standard deviation ( x ¯ ± s)”. Data were analyzed by the Mann–Whitney test in the SPSS 17.0 software for comparison between groups. A single asterisk (*, p ≤ 0.05) indicated a statistical difference between the averages, and a double asterisk (**, p ≤ 0.01) indicated a high significant difference between the averages.

2.6. Principal Component Analysis Method

The SIMCA-P+ software (Version 14.1, MKS Data Analytics Solutions, Umea, Sweden) was used to perform principal component analysis. A total of 16 measurement indicators of the hair loss model (total number of hair follicles; number of primary hair follicles; number of secondary hair follicles; dermal thickness; and Cyclin D 1, β-catenin, GSK-3β, and LEF 1 mRNA and protein expression levels) were included. Five groups, i.e., model control group, minoxidil control group, β-sitosterol group 2, vitamin E group 2, and linoleic acid group 2, were used in this experiment.

3. Results and Discussion

3.1. Network Pharmacology

In accordance with the literature [13], a total of 17 chemical constituents of the kernel of P. mira were screened (Table 9). The SDF files of chemical components sought in the PubChem database were imported one by one into the Pharmmapper database for scoring. After the duplicate was deleted, the final corresponding targets were 5085, and targets with score higher than 0.6 were selected. After the duplicate was deleted, 216 targets were obtained. The GeneCards library was searched to obtain 9640 disease targets. After matching the two related targets, 149 potential targets for the treatment of alopecia diseases were obtained, and the Venn diagram was drawn (Figure 3 and Table 10). The network diagram of “the kernel of P. mira-components-Target-Disease” was established using the Cytoscape software (Version 3.7.1, Institute for Systems Biology, Seattle, WA, USA) (Figure 4).
The network included 168 nodes and 842 edges. The relationship between the kernel of P. mira, chemical composition, potential target, and hair loss is demonstrated by different colors and shapes. Then, the “protein–protein” network topology was analyzed, and the PPI network was constructed using the String website (https://String-db.org; accessed on 23 May 2020) and Cytoscape, as shown in Figure 5. A large circle in the figure indicated an important gene. The degree of freedom was used as the selection condition for the hub gene. A high degree of freedom indicated high possibility that the kernel of P. mira will function through the target gene. The top 30 degrees of freedom were regarded as the hub gene, as shown in Figure 6.
The biological process and molecular function analyses of targets of the kernel of P. mira were carried out, and the first 20 processes with the least significance were selected (Figure 7a). GO analysis showed that heme binding, tetrapyrrole binding, nuclear receptor activity, transcription factor activity, steroid hormone receptor, S100 protein binding, damaged DNA binding, hydrolase activity, vitamin binding, fatty acid derivative binding, and antioxidant activity, might be related to alopecia. KEGG analysis was performed on 149 potential targets, and a total of 89 signal pathways were obtained, of which 12 pathways were related to alopecia (Figure 7b). The thyroid hormone (hsa04919) and HIF-1 (hsa04066) pathways were related to angiogenesis. The Rap1 (hsa04015) and AGE-RAGE (hsa04933) pathways were related to inflammation. The p53 (hsa04115) and FoxO (hsa04068) pathways were related to death. The PI3K/Akt (hsa04151), Wnt (hsa04310), and TGF-beta (hsa04350) pathways were related to cell proliferation and differentiation. The estrogen (hsa04915), neurotrophin (hsa04772), and cAMP (hsa04024) pathways were related to lipid metabolism. Figure 8 shows that 25 of the 149 potential targets were related to these signal pathways. Among these targets, CREBBP, EIF4E, SOD2, and CYCS had high degrees of freedom, and the 25 targets were predominantly derived from 13 components. According to the results of previous research and literature review, stimulation of Wnt signaling pathway can regulate the growth of hair follicles [51]. In this paper, the Wnt signaling pathway was selected as the main research object, and five related targets, namely, CREBBP 1, CCND1, RAC1, CUL1, and EP300 were found. A total of 13 chemical components, such as trans-squalene, vitamin E, fucosterol, linoleic acid, oleic acid, and campesterol, were related to these five targets. Thus, it may be a potential effective ingredient of P. mira to promote hair growth, but the results of network pharmacology still need further experimental verification.
The pathways predicted by network pharmacology are related to angiogenesis, inflammation, cell proliferation, and apoptosis, which are consistent with the factors currently considered to affect hair loss, such as inflammation, follicular cell cycle, and follicular blood circulation. The literature review showed that the mechanism of action for the treatment of alopecia is mostly concentrated in the Wnt and EGFR signaling pathways, and this finding is similar to the predicted results of network pharmacology. Current research on the Wnt pathway predominantly involves regulating the proliferation of breast cancer, colon cancer, and other cancer cells [52], regulating osteoarthritis [53] and osteoblast differentiation [54], participating in metabolism [55], and regulating hair follicles, and hair regeneration [56]. The PI3K/Akt pathway is also one of the signaling pathways predicted by network pharmacology. It is one of the classic pathways of the EGFR signaling pathway [57]. It can induce or inhibit cell apoptosis [58]. The current research focuses on tumors [59], anti-inflammatory [60], osteoblast proliferation and differentiation [61], and growth factor-mediated neuronal activity [62], but there are also reports that the PI3K/Akt pathway is related to hair growth [63]. A crosslink between the Wnt and EGFR signaling pathways may be present [64]. In the breast epithelial cell line HC11, Wnt can affect the EGFR signaling pathway through Wnt5a, Wnt1, and other cell membrane ligands [65]. Both Wnt and EGFR pathways are involved in Drosophila. Polarity of eye cells is formed [66]. From the perspective of research direction and function, these pathways are also similar. Crosslinking between Wnt and EGFR signaling pathways may be present in hair follicle regulation. Teng et al. found that the EGFR and EGF signals in the hair follicles of mice with mutations in the key genes for hair loss are weakened, and the continued high expression of EGF in mice can keep the hair cycle in the growth phase [16]. Yi et al. found that β-catenin can regulate the proliferation of hair follicle stem cells by regulating the PI3K/Akt pathway [67], indicating that the PI3K/Akt signaling pathway is related to the Wnt signaling pathway.

3.2. HPLC Analysis

3.2.1. Optimization of Chromatographic Separation Conditions

Shimadzu LC-2030 HPLC (Shimadzu, Japan) was used to determine the content of amygdalin, and the processing of chromatogram and the calculation of peak area was automatically integrated by the computer using LabSolution software(VersionDB, Shimadzu, Kyoto, Japan). The optimum chromatographic conditions were obtained by investigating the chromatographic conditions of different wavelengths, different mobile phases, different column temperatures, and different flow rates. The chromatographic column is Hypersil ODS2 (250 × 4.6 mm, 5 μm) (Thermo Fisher Scientific, Waltham, MA, USA). When determining amygdalin, the column temperature was 30 °C, and the flow rate was 0.8 mL/min, and the injection volume was 10 µL, and the detection wavelength was 203 nm, and the mobile phase was acetonitrile-water (80:20). The best extraction method of amygdalin in sample solution was 0.5 mol/L potassium hydroxide methanol and the extraction volume is 25 mL, the extraction method was ultrasonic and the extraction time was 30 min.

3.2.2. Quantitative Analysis of Amygdalin in the Kernel of P. mira

Amygdalin showed good linear relationships in the range of 80.00–1280.00 µg/mL. The methodological investigation RSD was less than 3%, it was indicated that the method is reliable. See Figure 9 and Table 11. In 12 batches, the content of amygdalin in Xinlong County, Jiulong County and Kangding City was significantly higher than that of other producing areas. There was no significant difference in amygdalin content in the kernel of P. mira from other producing areas. See Table 12 for details.

3.3. Dose-Effect Relationship of Eight Chemical Components in the Kernel of P. mira to Promote Hair Growth

KM mice with depilation induced by sodium sulfide was used to evaluate the efficacy of eight components (Figure 10) (i.e., β-sitosterol, linoleic acid, vitamin E, oleic acid, trans-squalene, campesterol, fucosterol, and amygdalin) of the kernel of P. mira. β-sitosterol groups 2, 3, 4, and 5; vitamin E groups 1 and 2; linoleic acid group 2; fucosterol group 3; and amygdalin groups 1 and 3 could increase the grade of newborn hair condition of mice on the fourth day. Amygdalin group 1 and fucosterol group 3 could increase the hair length of mice. Vitamin E groups 1, 2, and 3 and β-sitosterol group 2 could significantly increase the weight of new hair (Table 13 and Figure 11). After considering the above results comprehensively, vitamin E, β-sitosterol, linoleic acid, amygdalin, and fucosterol had evident promoting effects. Therefore, 3 doses of these 5 components, i.e., β-sitosterol groups 2, 3, and 4 (0.061, 0.031, and 0.016 mg/cm2/d); linoleic acid groups 1, 2, and 3 (0.313, 0.156, and 0.078 mg/cm2/d); vitamin E groups 1, 2, and 3 (6.125, 3.125, and 1.563 mg/cm2/d); amygdalin groups 2, 3, and 4 (0.061, 0.031, and 0.016 mg/cm2/d); and fucosterol groups 2, 3, and 4 (0.061, 0.031, and 0.016 mg/cm2/d), were selected for subsequent sodium sulfide-induced hair loss model in C57BL/6 mice for re-evaluation of the efficacy.

3.4. Re-Evaluating of the Effect of Five Active Components in the Kernel of P. mira in Promoting Hair Growth

C57BL/6 mice were used to re-evaluate the effectiveness of the five active components in the kernels of P. mira. β-sitosterol groups 2 and 4, linoleic acid group 2, and vitamin E group 2 could remarkably shorten the time for the skin to darken and increase the status of new hair and hair length and weight. In addition, β-sitosterol group 3, linoleic acid group 1, vitamin E group 3, amygdalin group 2, and fucosterol group 2 could significantly increase the hair length and weight of mice on day 14 (Table 14 and Table 15). The use of heat maps could show the differences between the data intuitively. The 17 groups (i.e., model control group; positive control group; β-sitosterol groups 2, 3, and 4; linoleic acid groups 1, 2, and 3; vitamin E groups 1, 2, and 3; fucosterol groups 2, 3, and 4; and amygdalin groups 2, 3, and 4) of 7 efficacy index data (i.e., skin darkening time; 7-, 14-, and 21-day newborn hair growth rating; 14- and 21-day hair length; and hair weight) were normalized to draw a heat map. As shown in Figure 12, β-sitosterol, linoleic acid, and vitamin E had a significant promoting effect on mice hair loss induced by sodium sulfide. According to the statistical results of the number of days of skin darkening; the status, length, and weight of new hair; and results of heat map analysis, the three dose groups of β-sitosterol, vitamin E, and linoleic acid could make hair follicles grow in advance, indicating a certain promoting effect on hair growth. Therefore, β-sitosterol group 2 (0.061 mg/cm2/d), linoleic acid group 2 (0.156 mg/cm2/d), and vitamin E group 2 (3.125 mg/cm2/d) were selected for observing the effect of drugs on the number of hair follicles, dermal thickness, and Wnt/β-catenin pathway.

3.5. Mechanism of the Main Active Components in the Kernel of P. mira to Promote Hair Growth

Through the comprehensive analysis of the results of skin color change time, newborn hair growth rating, and newborn hair length and weight of C57BL/6 mice, the β-sitosterol group 2 (0.061 mg/cm2/d), linoleic acid group 2 (0.156 mg/cm2/d), and vitamin E group 2 (3.125 mg/cm2/d) had a good effect on promoting hair growth (See Figure 13). Thus, one dose group for each of the three components was selected for the mechanism of action. The number of hair follicles and skin dermal thickness of mice in the three groups were tested, and the effects of the three groups of doses on Wnt/β-catenin signaling pathway were studied (Table 16 and Figure 14). No significant effect was observed on the thickness of the dermis and the number of hair follicles, but the three groups could upregulate the mRNA expression of LEF 1 and GSK-3β in the Wnt/β-catenin signaling pathway and had a significant upregulation trend on the mRNA expression of β-catenin (Table 17). All three groups had no significant effect on the protein expression of the four indicators (Table 18 and Figure 15).
The SIMCA-P (Version 14.1) software was used to perform principal component analysis (PCA-X) on 16 indicators in five groups and analyze the control intensity of the mechanism of action, and five principal components were extracted with R2X = 80.5%, which indicated that the top five principal components could reflect 80.5% of the original data. The first two components were extracted to obtain Figure 16a. The model and the positive control groups were at both ends of the Y axis. The samples of the three administration groups were closer to those of the positive control group, indicating that the hair loss of mice in the administration group tended to improve. A trend of improvement was observed. In addition, the groups in the area of the circle followed the order: β-sitosterol group 4 > linoleic acid group 2 > vitamin E group 2. The strength of the hair growth-promoting effect was also inversely proportional to the area of the circle. PCA-X found that the three groups had a certain improvement effect on the alopecia of mice caused by sodium sulfide (Figure 16a,b).
Lipids can participate in the development and regulation of hair and skin [68]. Linoleic acid, β-sitosterol and vitamin E are all fat-soluble components. Truong et al. [69] found that oil of red ginseng (Talinum paniculatum (Jacq.) Gaertn.) and its main components, linoleic acid and β-sitosterol, can promote hair growth by regulating the Wnt/β-catenin signaling pathway. Upadhyay [70] found that β-sitosterol gel and β-sitosterol-phospholipid complex improved androgenic alopecia by inhibiting 5α-reductase. Linoleic acid derivatives can maintain the stability of hair follicles by maintaining the lipid metabolism within the hair and hair follicles [71] to keep the hair in a normal growth state [72]. The subcutaneous injection of vitamin E in patients with alopecia areata or plum blossom needle tapping combined with vitamin E rubbing can significantly improve the hair growth of patients with alopecia areata [73].
The Wnt/β-catenin signaling pathway is one of the important pathways related to hair loss. This pathway is a multichannel signal transduction pathway and participates in the process of embryonic cell development, division and differentiation, and tissue regeneration. This pathway is highly conserved in genetics, and the Wnt pathway among different species is similar. The β-catenin protein is a key factor in activating the pathway [74] and can be phosphorylated by GSK3β and then degraded [75]. However, when it accumulates to a certain amount, it is transferred from the cytoplasm to the nucleus and interacts with TCF/LEF family transcription factors (LEF 1) and binds to initiate transcription and translation of target genes, including C-myc, Cyclin D 1, etc., [76] (Figure 17). β-Catenin, GSK3β, LEF 1, Cyclin in the downstream of the Wnt/β-catenin pathway D 1 are the four important factors to be studied.
Studies found that β-sitosterol, linoleic acid, and vitamin E can upregulate the LEF 1 and the mRNA expression levels of GSK-3β, β-catenin, and Cyclin D 1 in the Wnt/β-catenin signaling pathway. The expression levels of mRNA and protein of Cyclin D 1 have no evident influence. The increase of LEF 1 mRNA expression and the rising trend of β-catenin mRNA expression indicate that the Wnt/β-catenin pathway is in an activated state. However, the mRNA expression of GSK-3β increases. This result is consistent with a previous study on the effect of light walnut oil on GSK. The effect of GSK-3β is consistent. The expression of GSK-3β may be regulated by other signal pathways, such as GSK-3β-MCL-1 [51], but further experimental verification is needed. Immunohistochemistry results showed that vitamin E, β-sitosterol, and linoleic acid have no evident effect on the protein expression of GSK-3β, β-catenin, Cyclin D 1, and LEF 1, which may be because the skin of mice in the administration group has changed from black to gray and pink to enter the resting phase after the third week. Although Wnt/β-catenin pathway is activated, its activity is reduced and hair growth is not observed in some mice [77]. Thus, no statistical difference in overall protein expression is observed. Mouse skins at different administration periods should be selected for testing in subsequent experiments. In this article, the expression levels of Cyclin D1 mRNA and protein do not change significantly. According to literature reports [78], it was found that the hair of mice knocked out of Cyclin D 1 gene grew normally, and that Cyclin D 1 gene had no obvious effect on the proliferation of hair follicle cells. However, other literatures indicate that Cyclin D 1 is related to hair follicle stem cells [79] and that the relationship between Cyclin D 1 gene and related signal pathways and hair follicles should be studied deeply. In addition, interactions between Wnt/β-catenin pathway and EGFR signaling pathway in the regulation of hair growth may be present. Signal pathways do not exist independently but are connected to each other to form a complex network. However, research on the relationship between the signal pathways remains lacking, suggesting that attention should be paid to the study of the Wnt/β-catenin pathway and the EGFR signal pathway in subsequent experiments. The connection and interaction of the hair loss treatment, the mechanism network of the treatment of hair loss, and the mechanism of its function are clearly revealed.
The commonly used hair loss agents in the current literature include hair removal cream, cyclophosphamide, rosin and paraffin, testosterone propionate, and sodium sulfide. The first three reagents are not targeted at specific types of hair loss. Cyclophosphamide is predominantly used for patients with hair loss caused by chemotherapy, and testosterone propionate is used for androgenetic alopecia. However, these hair loss models have causes that cannot fully simulate human hair loss [80]. Because the literature found that hair removal animal models are commonly used in C57BL6 mice, KM mice, and SD rats, and mostly female, so two different mice were selected in the experiment. Animal experiments of a variety of different species are conducive to evaluating the effects of drugs and avoiding false positive results. KM mice have a short hair growth cycle, which is suitable for short-term and rapid screening. C57BL/6 mouse skin has evident periodicity, and long hair growth cycle is suitable for long-term efficacy evaluation. C57BL/6 mice are in the growth phase when the skin is black. In the growth phase, secondary hair embryos are activated to differentiate into hair follicles. The cells of hair follicles are highly active and differentiate to form pigmented hair shafts. Hair follicle metabolism decreases during the anagen phase, and cells gradually undergo apoptosis. The skin color is gray at this time. At the end of the anagen phase, the cells of the hair follicle stop moving, and only a layer of differentiated cells remains on the surface of the hair papilla. The hair follicle forms a secondary hair embryo and enters the resting stage, and the skin of C57BL/6 mice turns pink [81]. Given this feature, C57BL/6 mice are widely used in hair growth animal experiments and skin disease-related fields [82]. In addition, when using C57BL/6 mice for experiments, all mice need to use sodium sulfide for hair removal. This is because the hair follicles of C57BL/6 mice are in the resting phase under normal physiological conditions and must rely on huge external stimuli (sulfide sodium treatment and plucking) can make the hair follicles of C57BL/6 mice enter the growth cycle [83]. Therefore, C57BL / 6 mice were used in this study, and no blank control group was established. The preliminary evaluation of efficacy using KM mice and re-evaluation of efficacy in C57BL/6 mice found that β-sitosterol, linoleic acid, and vitamin E allowed mice to enter the hair growth phase early, thus increasing the length and weight of new hair. The effect of these components in promoting hair growth is more evident than those of others. Although KM and C57BL/6 mice are used in this article, they still have limitations. The animal hair follicle cycle is different from the human hair growth cycle, and hair follicles are collected after the experiment is completed. Changes in some related proteins during the growth cycle have not been discovered. Thus, experimental models that are in line with the causes of human hair loss should be explored, and animals that are close to the human hair growth cycle for experiments should be determined. Through clinically consistent models, various animal experiments, multiple-time point sampling analysis, and reasonable index evaluation methods reflect the effect of drugs on hair loss.
At present, the fact that the kernels of P. mira are not included in the Pharmacopoeia of the People’s Republic of China (2020) has become a bottleneck restricting the cultivation and use of the kernels of P. mira, and the non-receipt by pharmaceutical factories has led to a sharp decline in usage. However, in the eyes of sellers in the medicinal material market, its appearance quality seems to be no weaker than that of peach kernels (the kernels of Prunus persica (L.) Batsch and Prunus davidiana (Carr.) Franch.). The author visited the medicinal material market in Chengdu’s International Trade City and found that the drug sellers were willing to buy the kernel of P. mira at a price of about 40 Yuan/kg. The peach kernels in the Pharmacopoeia of the People’s Republic of China (2020) are derived from Prunus persica (L.) Batsch and Prunus davidiana (Carr.) Franch. [84] and has the functions of activating blood circulation, removing blood stasis, and moistening intestines and defecating. Peach kernels are distributed in Hebei, Shaanxi, Yunnan, Gansu, and Sichuan Provinces [85]. At present, HPLC is used to study the fingerprints of the kernel of P. mira and peach kernels from many producing areas, and HPLC results of peach kernels show 12 common peaks and 3 different peaks, indicating that the chemical components of the two are roughly similar [86]. In the future, various experimental animals, such as mice, rats, and rabbits, can be used to create models of coagulation and bleeding, constipation, and gastrointestinal tract movement, to evaluate the effectiveness of the two systems and combine quality control indicators and pharmacodynamic indicators. The logistic algorithm evaluates and grades the quality of both [87]. In addition, the safety of acute toxicity in rats and mice and long-term toxicity in rats should be evaluated. The similarities and differences of quality control indicators, safety evaluation and system effectiveness evaluation were comprehensively evaluated, which laid the foundation for its entry into the Pharmacopoeia of the People’s Republic of China (2020). If the kernel of P. mira can be included in the Pharmacopoeia of the People’s Republic of China (2020), the acquisition, planting, and processing of the kernel of P. mira can be promoted in Tibetan areas, and the local medicinal resources especially for the poverty alleviation in the deeply impoverished areas of the Tibetan area can be fully used.

4. Conclusions

Network pharmacology showed 149 targets for the chemical composition and alopecia in the kernel of P. mira and constructed the “protein–protein network interaction diagram” and the network diagrams of “components in the kernel of P. mira-chemical-targets-hair loss”. KEGG enrichment results showed 12 alopecia-related pathways, involving 25 targets and 13 components. The contents of amygdalin in 12 batches of the kernel of Prunus mira Koehne were determined by HPLC, which improved the quality standard. Furthermore, vitamin E (3.125 mg/cm2/d), β-sitosterol (0.061 mg/cm2/d), and linoleic acid (0.156 mg/cm2/d) in the kernel of P. mira can promote hair growth in mice, and its mechanism of action may be related to the Wnt/β-catenin pathway. Research results provided a basis for revealing the pharmacodynamic material basis and mechanism of the kernel of P. mira for the treatment of alopecia and clues for the development of new drugs for the treatment of alopecia.

Author Contributions

Y.Z. and J.Z. (Jingwen Zhang) contributed equally to this paper. Y.Z. and J.Z. (Jingwen Zhang) are mainly responsible for the research and the main work in this article; W.C., X.L., K.F., W.S., Y.L., M.X., J.Z. (Jing Zhang), G.F. and H.Y. are responsible for assisting in the experiment. Z.W., functions as our communication author. All authors have read and agreed to the published version of the manuscript.

Funding

The Special Program for Poverty Alleviation by Science and Technology in Sichuan Province (No. 2017NFP0080). High-Value Patent Cultivation Center Project of Administration for market regulation of Chengdu (Chengdu Intellectual Property Administration) (No. 202000092). The Research Promotion Plan Project for Xinglin Scholar Subject Talent of Chengdu University of Traditional Chinese Medicine (No. QNXZ2018041).

Institutional Review Board Statement

The animal study protocol was approved by the Experimental Animal Ethics Committee of Chengdu University of Traditional Chinese Medicine (protocol code: 2018-23, date of approval: 2 January 2018).” for studies involving animals.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We thank Chengdu University of Traditional Chinese Medicine for providing us with a research platform, and thank all authors for their contributions to this article.

Conflicts of Interest

All authors have no conflict of interest to disclose.

Sample Availability

Samples of the compounds are available from the authors.

Abbreviations

Akt/PkbRecombinant Protein Kinase B
β-cateninBeta chain protein
C-mycproto-oncogene protein
EGFEpidermal Growth Factor
EGFRepidermal growth factor receptor
GSK-3βGlycogen synthase kinase 3
HEHematoxylin and eosin
HPLCHigh Performance Liquid Chromatography
LEF 1Lymphoid Enhancer-binding Factor 1
PI3Kphosphatidylinositol 3-kinase
RT-PCRReal-time PCR
Tcf/LefT cell factor/Lymphoid enhancer factor
WntWingless/Integrated
IHCImmunohistochemistry
GOGene oncology
KEGGKyoto Encyclopedia of Genes and Genomes
HEhematoxylin-eosin staining

References

  1. Ga, W. Jingjing Materia Medica; The Ethnic Publishing House: Beijing, China, 1995. [Google Scholar]
  2. Zhou, J.; Zhong, Y.; Wang, T.; Yang, S.; Xu, J.; Guo, H. The origin of the type of Prunus mira and peaches in southwest Sichuan. In Proceedings of the A Collection of Papers from the first Youth Symposium of the Chinese Horticultural Society, Hangzhou, China, 4 December 1994; p. 4. [Google Scholar]
  3. Xu, G.; Xu, L. Variety Sorting and Quality Research of Commonly Used Chinese Medicinal Materials; Fujian Science and Technology Press: Fuzhou, China, 1997. [Google Scholar]
  4. Dimar, D.Z.P.C. Jingzhu Materia Medica; Shanghai Science and Technology Press: Shanghai, China, 1986. [Google Scholar]
  5. Jia, M.; Zhang, Y. Dictionary of Chinese Ethnic Medicine; China Medical Science Press: Beijing, China, 2016. [Google Scholar]
  6. Sichuan Food and Drug Administration. The Standard of Traditional Chinese Medicine in Sichuan 2010; Sichuan Science and Technology Press: Chengdu, China, 2011. [Google Scholar]
  7. Liang, Y.; Pei, J.; Zhou, M.; Fan, Z.; Liu, W.; Wan, D. Analysis of fat-soluble composition in different varieties of Semen persicae by GC-MS. West China J. Pharm. Sci. 2012, 27, 174–176. [Google Scholar]
  8. Li, B. A Study on Key Issues in China’s Implementation of the Nagoya Protocol on Access to and Benefit Sharing of Genetic Resources. Ph.D. Thesis, Minzu University of China, Beijing, China, 2020. [Google Scholar]
  9. Pei, S. Discussion on Ethnic Medicine research and New Drug Development in China (I). J. Yunnan Univ. Tradit. Chin. Med. 2007, 30, 1–4. [Google Scholar]
  10. Zhong, Z.; Pu, Q. Cool Tibetan wild peach fruit processing technology research. For. Sci. Technol. 2001, 44, 35–36. [Google Scholar] [CrossRef]
  11. Cai, C.; Zhong, M.; Huang, B.; Wang, B.; Xiao, W.; Qiu, J. Tibetan wild peach resources and their comprehensive processing and utilization. Guangdong Agric. Sci. 1997, 33, 25–26. [Google Scholar] [CrossRef]
  12. Zhang, L.; Meng, R.; Lu, G. Economic evaluation and protection of Amygdalus mira genetic resource. Acta Ecol. Sin. 2013, 33, 7277–7287. [Google Scholar] [CrossRef]
  13. Sun, W.; Zhou, X.; Wang, Z.; Zhang, J.; Yue, M.; Liang, Y.; Fan, G.; Yin, H. Analysis of fat-soluble components of nuts oil from Prunus mira in Derong County by GC-MS. Chin. Tradit. Pat. Med. 2018, 40, 142–146. [Google Scholar]
  14. Liang, Y. Study on Quality Evaluation of the Effective Components in Safflower-Semen Persicae and Their Preparations. Master’s Thesis, Chengdu University of TCM, Chengdu, China, 2011. [Google Scholar]
  15. Stenn, K. Bioengineering the human cells. Investig. Dermatol. 2007, 127, 2106–2115. [Google Scholar]
  16. Teng, X. Positional Cloning of a Novel Gene in Uncoverd Mouse and Functional Analysis in Mouse hair Follicle Development. Ph.D. Thesis, Shanghai Jiao Tong University, Shanghai, China, 2008. [Google Scholar]
  17. Camacho, F.; Montagna, W. Current Concept and Classification. Male Androgenetic Alopecia; Group Aula Mdica SA: Madrid, Spain, 1997; pp. 325–342. [Google Scholar]
  18. Chen, Q. The Traditional Chinese Medicine Efficacy Research Ideas and Methods; People’s Medical Publishing House: Beijing, China, 2004. [Google Scholar]
  19. Huo, T.; Fang, Y.; Zhao, L.; Xiong, Z.; Zhang, Y.; Wang, Y.; Feng, C.; Yuan, M.; Wang, S.; Chen, M.; et al. HNMR-based metabonomic study of sub-chronic hepatotoxicity induced by realgar. J. Ethnopharmacol. 2016, 192, 1–9. [Google Scholar] [CrossRef]
  20. Dang, J.; Yu, L.; Wang, Y. Study on treatment of Pterocarpus indcus Willd extracts on rat androgenetic alopecia. West China J. Pharm. Sci. 2010, 25, 320–322. [Google Scholar]
  21. Hu, X.; Wang, W.; Zhong, Q.; Yu, B.; Ma, G. Questionnaire analysis of related factors of male pattern alopecia and clinical efficacy of finasteride therapy in 320 patients. J. Xi’an Jiaotong Univ. (Med. Sci.) 2009, 30, 620–623. [Google Scholar]
  22. Rushton, D.; Norris, M.; Dover, R.; Busuttil, N. Causes of hair loss and the developments in hair rejuvenation. Int. J. Cosmet. Sci. 2002, 24, 17–23. [Google Scholar] [CrossRef] [PubMed]
  23. Castelli, E.; Fiorella, S.; Caputo, V. Pili annulati coincident with alopecia areata, autoimmune thyroid disease, and primary IgA deficiency: Case report and considerations on the literature. Case Rep. Dermatol. 2012, 4, 250–255. [Google Scholar] [CrossRef] [PubMed]
  24. Tong, T.; Liu, T. The research progress of traditional Chinese medicine in the treatment of seborrheic alopecia. Hunan J. Tradit. Chin. Med. 2014, 30, 186–187. [Google Scholar]
  25. Rossi, A.; Cantisani, C.; Melis, L.; Iorio, A.; Scali, E.; Calvieri, S. Minoxidil use in dermatology, side effects and recent patents. Recent Pat. Inflamm. Allergy Drug Discov. 2012, 6, 130–136. [Google Scholar] [CrossRef]
  26. Irwig, M.S.; Kolukula, S. Persistent sexual side effects of finasteride for male pattern hair loss. J. Sex Med. 2011, 8, 1747–1753. [Google Scholar] [CrossRef]
  27. Zhou, W. Literature Research on Traditional Chinese Medicine in the Treatment of Hair Loss in the Past 50 years. Master’s Thesis, Nanjing University of Chinese Medicine, Nanjing, China, 2016. [Google Scholar]
  28. Luo, J. Clinical Observation on 18 Cases of Alopecia areata Treated with Plum Blossom Needle Tap and Vitamin E External Rubbing. In Proceedings of the 2013 Annual Conference of Gansu Society of Traditional Chinese Medicine, Qingyang, China, 26 July 2013; p. 1. [Google Scholar]
  29. Zhang, N.; Yang, Y.; Duan, Q. Research progress of local and external treatment of androgen-induced alopecia with traditional Chinese and western medicine. J. Ext. Ther. Tradit. Chin. Med. 2018, 27, 52–54. [Google Scholar]
  30. Bunagan, M.J.K.S. Medical Treatment of Hair Loss. In Hair Restoration Surgery in Asians; Springer: Tokyo, Japan; Berlin/Heidelberg, Germany; New York, NY, USA, 2010. [Google Scholar]
  31. Tao, J.; Wang, S.; Chen, Y.; Zheng, H.; Jiang, M.; Yuan, B. Review on the research in network pharmacology of traditional Chinese medicine compound. China J. Tradit. Chin. Med. Pharm. 2019, 34, 3903–3907. [Google Scholar]
  32. Zhou, Y. Research on the Optimal Components and Integrated Regulation Mechanism of Fufangshuangdanfang (SDF) in Improving Diabetic Kidney Disease Based on Pathology Network. Master’s Thesis, Shanxi University of Chinese Medicine, Taiyuan, China, 2018. [Google Scholar]
  33. Xin, W.; Bai, M.; Miao, M. Chinese Medicine Research and the Secondary Development Model of Traditional Chinese Medicine Based on Network Pharmacology. Acta Chin. Med. 2016, 31, 92–95. [Google Scholar]
  34. Song, K.; Bi, T.; Zhan, X.; Li, Z.; Wang, J.; He, W.; Tong, Y.; Li, Y. Strategy of Discovering Active Ingredient in Traditional Chinese Medicine under Guidance of Network Pharmacology. Mod. Tradit. Chin. Med. Mater. Med. World Sci. Technol. 2014, 16, 27–31. [Google Scholar]
  35. Wu, G.; Zheng, L.; Ma, Q.; Han, Z.; Zhan, R.; Chen, W.; NIU, M. Targets prediction and mechanism of Zanthoxylum nitidum in intervention of inflammation based on network pharmacology. Chin. Tradit. Herb. Drugs 2019, 50, 659–668. [Google Scholar]
  36. Tao, W.; Xu, X.; Wang, X.; Li, B.; Wang, Y.; Li, Y.; Yang, L. Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease. J. Ethnopharmacol. 2013, 145, 1–10. [Google Scholar] [CrossRef] [PubMed]
  37. Duan, X.; Huang, S.; Peng, D.; Han, L.; Wang, X.; Wang, Y.; Pan, L. Application of network pharmacology in the study of traditional Chinese medicine formula. Chin. Pharmacol. Bull. 2020, 36, 303–308. [Google Scholar]
  38. Yuan, C.; Liu, B.; Huang, J.; Yan, Z.; Chen, R.; Huo, L. Application of Network Pharmacology on Screening and Mechanism of Pharmacodynamic Substances of Traditional Chinese Medicine. Guangzhou Chem. Ind. 2019, 47, 20–22. [Google Scholar]
  39. Zhou, Y.; Tang, G.; Li, X.; Sun, W.; Liang, Y.; Gan, D.; Liu, G.; Song, W.; Wang, Z. Study on the chemical constituents of nut oil from Prunus mira Koehne and the mechanism of promoting hair growth. J. Ethnopharmacol. 2020, 258, 112831. [Google Scholar] [CrossRef]
  40. Sun, W.; Zhou, X.; Wang, Z.; Zhang, J.; Gan, D.; Liang, Y.; Fan, G.; Yin, H. Acute toxicity test of light walnut kernel oil on experimental mice and rabbits. China Med. Bull. 2017, 14, 18–24. [Google Scholar]
  41. Luo, S.; Deng, y.; Zhu, Y. Determination of Oleic Acid and Linoleic Acid in the Oil of Fructus Bruceae by Pre-column Derivatization HPLC. Tradit. Chin. Drug Res. Clin. Pharmacol. 2011, 22, 328–330. [Google Scholar] [CrossRef]
  42. Kang, J.-I.; Kim, E.-J.; Kim, M.-K.; Jeon, Y.-J.; Kang, S.-M.; Koh, Y.-S.; Yoo, E.-S.; Kang, H.-K. The promoting effect of Ishige sinicola on hair growth. Mar. Drugs 2013, 11, 1783–1799. [Google Scholar] [CrossRef] [PubMed]
  43. Chen, J.; Qi, H.; Li, J.; Yi, Y.; Chen, D.; Hu, X.; Wang, M.; Sun, X.; Wei, X. Experimental study on Dendrobium candidum polysaccharides on promotion of hair growth. China J. Chin. Mater. Med. 2014, 39, 291–295. [Google Scholar] [CrossRef]
  44. Tie, R.; Liu, L.; Li, X.; Yu, J.; Qu, P.; Zhou, X.; Zhang, X. The study of sodium sulfide depilatory optimum unhairing concentration. Shanxi Med. J. 2009, 38, 1283–1284+1303. [Google Scholar] [CrossRef]
  45. Li, Y. Experimental Methodology of Traditional Chinese Medicine Pharmacology Version 2; Shanghai Science and Technology Press: Shanghai, China, 2006. [Google Scholar]
  46. Zhang, L. Pharmacodynamic Evaluation and Mechanism Research of Chinese Medicine Hair Restore on the Treatment of Seborrheic alopecia. Master’s Thesis, Guangzhou University of Chinese Medicine, Guangzhou, China, 2013. [Google Scholar]
  47. Xia, T.; Li, W.; Xia, X.; He, W.; Zhu, X. The Research on the Promoting Effect of Ginkgo Pilatory Mixture on Hair Growth in Mice. Guangxi J. Tradit. Chin. Med. 2013, 36, 69–72. [Google Scholar] [CrossRef]
  48. 48. Yingying. Study on Pharmacodynamics of Dong Gong Hair Growth and Blacking Lotion. Master’s Thesis, Jilin University, Changchun, China, 2009.
  49. Yang, S.; Ma, S.; Zhong, Z.; Qin, J.; Li, Z.; Wu, L. Establishment of Hair Cycle Animal Model with C57BL6 Mice. Chin. J. Dermatol. 1999, 32, 34–35. [Google Scholar]
  50. Polakowska, R.R.; Piacentini, M.; Bartlett, R.; Goldsmith, L.A.; Haake, A.R. Apoptosis in human skin development: Morphogenesis, periderm, and stem cells. Dev. Dyn. 1994, 199, 176–188. [Google Scholar] [CrossRef]
  51. Xing, F.; Yi, W.-J.; Miao, F.; Su, M.-Y.; Lei, T.-C. Baicalin increases hair follicle development by increasing canonical Wnt/β-catenin signaling and activating dermal papillar cells in mice. Int. J. Mol. Med. 2018, 41, 2079–2085. [Google Scholar] [CrossRef]
  52. Guo, Q.; Xing, X.; Wu, H. Regulation of Wnt Signaling Pathway by Protein Modification. Chin. J. Biochem. Mol. Biol. 2009, 25, 110–115. [Google Scholar]
  53. Gao, N.; Cao, Y.; Liu, T.; Pang, J.; Zhan, H.; Shi, Y. Wnt signaling pathways and osteoarthritis. China J. Orthopaed. Traumatol. 2010, 23, 320–323. [Google Scholar]
  54. Yue, Q.; Liang, M. Regulative effect of the canonical Wnt pathway on osteogenesis. Int. J. Biomed. Eng. 2014, 37, 242–246. [Google Scholar]
  55. Wang, M. The effect of Wnt Signaling Pathway and TCF7L2 on Type 2 Diabetes. Ph.D. Thesis, Fu Dan University, Shanghai, China, 2010. [Google Scholar]
  56. Li, Y. The Mechanisms of Hair Follicle Cycle Regulated by Wnt10b. Ph.D. Thesis, Third Military Medical University, Chongqing, China, 2011. [Google Scholar]
  57. Ni, C.; Yu, M.; Zhang, Z. The role of EGFR and PI3K/AKT signal pathway in non-small cell lung cancer. Acta Univ. Med. Anhui 2011, 46, 1264–1266. [Google Scholar]
  58. Pan, R.; Jin, Y.; Zhu, W. Advances have been made in the study of apoptosis mechanisms mediated by PI3K/Akt signal path paths. Zhejiang J. Integr. Trad. Chin. West. Med. 2013, 23, 70–72. [Google Scholar]
  59. Chen, J.; Jiang, C.; Fu, L.; Zhu, C.-L.; Xiang, Y.-Q.; Jiang, L.-X.; Chen, Q.; Liu, W.M.; Chen, J.-N.; Zhang, L.-Y.; et al. suppresses tumor growth and metastasis in nasopharyngeal carcinoma by repressing PI3K/AKT signaling pathway via interaction with Integrin β1 and Merlin. Int. J. Biol. Sci. 2019, 15, 1802–1815. [Google Scholar] [CrossRef]
  60. Chen, H.-W.; Lin, A.-H.; Chu, H.-C.; Li, C.-C.; Tsai, C.-W.; Chao, C.-Y.; Wang, C.-J.; Lii, C.-K.; Liu, K.-L. Inhibition of TNF-α-Induced Inflammation by andrographolide via down-regulation of the PI3K/Akt signaling pathway. J. Nat. Prod. 2011, 74, 2408–2413. [Google Scholar] [CrossRef]
  61. Watabe, H.; Furuhama, T.; Tani-Ishii, N.; Mikuni-Takagaki, Y. Mechanotransduction activates α₅β₁ integrin and PI3K/Akt signaling pathways in mandibular osteoblasts. Exp. Cell Res. 2011, 317, 2642–2649. [Google Scholar] [CrossRef]
  62. Zhang, W.; Miao, L. PI3K/Akt signaling path and its progress in neuropathy. J. Apoplexy Nerv. Dis. 2007, 24, 755–757. [Google Scholar]
  63. Zhang, H.; Su, Y.; Wang, J.; Gao, Y.; Yang, F.; Li, G.; Shi, Q. Ginsenoside Rb1 promotes the growth of mink hair follicle via PI3K/AKT/GSK-3β signaling pathway. Life Sci. 2019, 229, 210–218. [Google Scholar] [CrossRef] [PubMed]
  64. Suzuki, M.; Shigematsu, H.; Nakajima, T.; Kubo, R.; Motohashi, S.; Sekine, Y.; Shibuya, K.; Iizasa, T.; Hiroshima, K.; Nakatani, Y.; et al. Synchronous alterations of Wnt and epidermal growth factor receptor signaling pathways through aberrant methylation and mutation in non small cell lung cancer. Clin. Cancer Res. 2007, 13, 6087–6092. [Google Scholar] [CrossRef] [PubMed]
  65. Civenni, G.; Holbro, T.; Hynes, N.E. Wnt1 and Wnt5a induce cyclin D1 expression through ErbB1 transactivation in HC11 mammary epithelial cells. EMBO Rep. 2003, 4, 166–171. [Google Scholar] [CrossRef] [PubMed]
  66. Weber, U.; Pataki, C.; Mihaly, J.; Mlodzik, M. Combinatorial signaling by the Frizzled/PCP and Egfr pathways during planar cell polarity establishment in the Drosophila eye. Dev. Biol. 2008, 316, 110–123. [Google Scholar] [CrossRef] [PubMed]
  67. Zhang, Y.; Yu, J.; Shi, C.; Wang, Y.; Yang, J.; Yang, T. Regulatory effect of β-catenin on proliferation of hair follicle stem cells involves PI3K/Akt pathway. J. Appl. Biomed. 2013, 11, 131–141. [Google Scholar] [CrossRef]
  68. Westerberg, R.; Tvrdik, P.; Undén, A.-B.; Månsson, J.-E.; Norlén, L.; Jakobsson, A.; Holleran, W.H.; Elias, P.M.; Asadi, A.; Flodby, P.; et al. Role for ELOVL3 and fatty acid chain length in development of hair and skin function. J. Biol. Chem. 2004, 279, 5621–5629. [Google Scholar] [CrossRef]
  69. Truong, V.-L.; Bak, M.J.; Lee, C.; Jun, M.; Jeong, W.-S. Hair Regenerative Mechanisms of Red Ginseng Oil and Its Major Components in the Testosterone-Induced Delay of Anagen Entry in C57BL/6 Mice. Molecules 2017, 22, 1505. [Google Scholar] [CrossRef]
  70. Upadhyay, K.; Gupta, N.K.; Dixit, V.K. Development and characterization of phyto-vesicles of β-sitosterol for the treatment of androgenetic alopecia. Arch. Dermatol. Res. 2012, 304, 511–519. [Google Scholar] [CrossRef]
  71. Tong, T.; Kim, N.; Park, T. Topical Application of Oleuropein Induces Anagen Hair Growth in Telogen Mouse Skin. PLoS ONE 2015, 10, e0129578. [Google Scholar] [CrossRef] [PubMed]
  72. Vingler, P.; Gautier, B.; Dalko, M.; Rozot, R.; Gaillard, O.; Michelet, J.F.; Bernard, B.A. 6-O glucose linoleate supports in vitro human hair growth and lipid synthesis. Int. Cosmet. Sci. 2007, 29, 85–95. [Google Scholar] [CrossRef] [PubMed]
  73. Wang, H.; Zhang, Z.; Feng, Y.; Hao, H. The efficacy of vitamin E injection local injection to treat baldness was observed. Chin. J. Clin. Ration. Drug Use 2014, 7, 181. [Google Scholar]
  74. Clevers, H.; Nusse, R. Wnt/β-catenin signaling and disease. Cell 2012, 149, 1192–1205. [Google Scholar] [CrossRef] [PubMed]
  75. Lei, M. The mechanism of Volatile oil from Platyclsdus orientalis Leaves to Induce Hair Growth in C57BL/6 Mice. Master’s Thesis, Northwest University, Kirkland, WA, USA, 2018. [Google Scholar]
  76. Gan, X.-q.; Wang, J.-y.; Xi, Y.; Wu, Z.-l.; Li, Y.-p.; Li, L. Nuclear Dvl, c-Jun, beta-catenin, and TCF form a complex leading to stabilization of beta-catenin-TCF interaction. J. Cell Biol 2008, 180, 1087–1100. [Google Scholar] [CrossRef] [PubMed]
  77. Lin, W.-h.; Xiang, L.-J.; Shi, H.-X.; Zhang, J.; Jiang, L.-p.; Cai, P.-t.; Lin, Z.-L.; Lin, B.-B.; Huang, Y.; Zhang, H.-L.; et al. Fibroblast growth factors stimulate hair growth through β-catenin and Shh expression in C57BL/6 mice. Biomed. Res. Int. 2015, 2015, 730139. [Google Scholar] [CrossRef]
  78. Xu, X.; Lyle, S.; Liu, Y.; Solky, B.; Cotsarelis, G. Differential expression of cyclin D1 in the human hair follicle. Am. J. Pathol. 2003, 163, 969–978. [Google Scholar] [CrossRef]
  79. Bai, T.; Liu, F.; Zou, F.; Zhao, G.; Jiang, Y.; Liu, L.; Shi, J.; Hao, D.; Zhang, Q.; Zheng, T.; et al. Epidermal Growth Factor Induces Proliferation of Hair Follicle-Derived Mesenchymal Stem Cells through Epidermal Growth Factor Receptor-Mediated Activation of ERK and AKT Signaling Pathways Associated with Upregulation of Cyclin D1 and Downregulation of p16. Stem Cells Dev. 2017, 26, 113–122. [Google Scholar] [CrossRef]
  80. Sun, W.; Gan, D.; Wang, Z.; Zhang, J.; Fan, G.; Yin, H. Study on the data mining of animal model of alopecia and medical treatment. Pharm. Clin. Chin. Mater. Med. 2017, 8, 57–61. [Google Scholar]
  81. Yue, X.; Lan, F.; Yang, W.; Yang, Y.; Han, L.; Zhang, A.; Liu, J.; Zeng, H.; Jiang, T.; Pu, P.; et al. Interruption of β-catenin suppresses the EGFR pathway by blocking multiple oncogenic targets in human glioma cells. Brain Res. 2010, 1366, 27–37. [Google Scholar] [CrossRef]
  82. Huang, L.; Li, P.; Xia, X.; He, w.; Zhu, X. Effect of Ginkgo Mixture on Hair Growth Promoting in C57BL/6 Mice. J. Liaoning Univ. Tradit. Chin. Med. 2013, 15, 65–67. [Google Scholar]
  83. Wang, H. Effect of 8DSS on Hair Growth and Its Possible Mechanisms. Ph.D. Thesis, Third Military Medical University, Chongqing, China, 2015. [Google Scholar]
  84. Commission, N.P. Pharmacopoeia of the People’s Republic of China: One in 2015; China Medical Science Press: Beijing, China, 2015. [Google Scholar]
  85. Yang, Y.; Di, S.; Zhang, H.; Zhao, L.; Tong, X. Study on clinical application and dosage of peach kernel. Jilin J. Chin. Med. 2018, 38, 1441–1446. [Google Scholar] [CrossRef]
  86. Du, H.; Xu, T.; Li, Q.; Wang, Z.; Zhang, J.; Fan, G. Prunus mira Kernels compared with peach kernel HPLC fingerprint. Chin. Tradit. Pat. Med. 2019, 41, 2796–2799. [Google Scholar]
  87. Li, L.; Liu, Y.; Yan, Y.; Tang, Z.; Duan, J.; Song, Z.; Yang, S.; Liu, F.; Chen, Y.; Xu, G. Research on grade prediction of Persicae semen based on binary Logistic regression analysis. Chin Tradit. Herb. Drugs 2019, 50, 4691–4696. [Google Scholar]
Figure 1. The distribution of P. mira in China.
Figure 1. The distribution of P. mira in China.
Molecules 27 05242 g001
Figure 2. (a): The dissolution curve of mRNA RT PCR products of four indicators in mice skin tissue. (b) RT-PCR product amplification curves of four indicators in mice skin tissue.
Figure 2. (a): The dissolution curve of mRNA RT PCR products of four indicators in mice skin tissue. (b) RT-PCR product amplification curves of four indicators in mice skin tissue.
Molecules 27 05242 g002
Figure 3. Venn diagram.
Figure 3. Venn diagram.
Molecules 27 05242 g003
Figure 4. The kernel of P. mira-chemical composition-target-alopecia“ network analysis diagram.
Figure 4. The kernel of P. mira-chemical composition-target-alopecia“ network analysis diagram.
Molecules 27 05242 g004
Figure 5. protein–protein interaction diagram.
Figure 5. protein–protein interaction diagram.
Molecules 27 05242 g005
Figure 6. Degrees of freedom of the target.
Figure 6. Degrees of freedom of the target.
Molecules 27 05242 g006
Figure 7. (a) GO analysis diagram. (b) KEGG enrichment map.
Figure 7. (a) GO analysis diagram. (b) KEGG enrichment map.
Molecules 27 05242 g007
Figure 8. “The kernel of P. mira composition-target-signal pathway” network diagram.
Figure 8. “The kernel of P. mira composition-target-signal pathway” network diagram.
Molecules 27 05242 g008
Figure 9. HPLC chromatograms of test solution, mixed reference solution and blank solvent.
Figure 9. HPLC chromatograms of test solution, mixed reference solution and blank solvent.
Molecules 27 05242 g009
Figure 10. Structure diagram of eight chemical components (Note: (a) β-sitosterol, (b) linoleic acid, (c) vitamin E, (d) oleic acid, (e) trans-squalene, (f) campesterol, (g) fucosterol, (h) amygdalin).
Figure 10. Structure diagram of eight chemical components (Note: (a) β-sitosterol, (b) linoleic acid, (c) vitamin E, (d) oleic acid, (e) trans-squalene, (f) campesterol, (g) fucosterol, (h) amygdalin).
Molecules 27 05242 g010
Figure 11. Heat map of the degree of influence of components in the kernel of P. mira on KM mice after depilation induced by sodium sulfide.
Figure 11. Heat map of the degree of influence of components in the kernel of P. mira on KM mice after depilation induced by sodium sulfide.
Molecules 27 05242 g011
Figure 12. Heat map of the degree of influence of components of the kernel of P. mira on the depilation of C57BL/6 mice induced by sodium sulfide (note: the closer the color is too red, the more obvious the promoting effect of the test substance on hair growth).
Figure 12. Heat map of the degree of influence of components of the kernel of P. mira on the depilation of C57BL/6 mice induced by sodium sulfide (note: the closer the color is too red, the more obvious the promoting effect of the test substance on hair growth).
Molecules 27 05242 g012
Figure 13. The effect of three effective components of the kernel of P. mira on the hair growth of C57BL/6 mice depilation model induced by sodium sulfide.
Figure 13. The effect of three effective components of the kernel of P. mira on the hair growth of C57BL/6 mice depilation model induced by sodium sulfide.
Molecules 27 05242 g013
Figure 14. Number of hair follicles and dermal thickness (×100).
Figure 14. Number of hair follicles and dermal thickness (×100).
Molecules 27 05242 g014
Figure 15. Immunohistochemistry diagram (×400). (A) Model control group; (B). Positive control group; (C). β-sitosterol group 2; (D). Linoleic acid E group 2; (E). Vitamin E group 2.
Figure 15. Immunohistochemistry diagram (×400). (A) Model control group; (B). Positive control group; (C). β-sitosterol group 2; (D). Linoleic acid E group 2; (E). Vitamin E group 2.
Molecules 27 05242 g015
Figure 16. (a) PCA-X score diagram. (b): Contribution rates of indicators (a total number of hair follicles; B: number of primary hair follicles; C: number of secondary hair follicles; D: dermal thickness; E: mRNA expression of β-catenin; F: mRNA expression of GSK-3β; G: Cyclin D 1 mRNA expression; H: mRNA expression of LEF 1; I: protein expression of β-catenin; J: protein expression of GSK-3β; K: protein expression of Cyclin D 1; L: protein expression of LEF 1).
Figure 16. (a) PCA-X score diagram. (b): Contribution rates of indicators (a total number of hair follicles; B: number of primary hair follicles; C: number of secondary hair follicles; D: dermal thickness; E: mRNA expression of β-catenin; F: mRNA expression of GSK-3β; G: Cyclin D 1 mRNA expression; H: mRNA expression of LEF 1; I: protein expression of β-catenin; J: protein expression of GSK-3β; K: protein expression of Cyclin D 1; L: protein expression of LEF 1).
Molecules 27 05242 g016
Figure 17. Wnt/β-catenin signaling pathway.
Figure 17. Wnt/β-catenin signaling pathway.
Molecules 27 05242 g017
Table 1. Databases and analysis software related to Network pharmacology.
Table 1. Databases and analysis software related to Network pharmacology.
ToolsFunctionWebsite
PubchemCompound structure searchhttps://pubchem.ncbi.nlm.nih.gov (accessed on 8 May 2020)
PharmmapperCompound target predictionhttp://www.lilab-ecust.cn/Pharmmapper (accessed on 8 May 2020)
UniProtProtein name correctionhttps://www.Uniprot.org (accessed on 10 May 2020)
GenecardsDisease target predictionhttp://www.genecards.org (accessed on 13 May 2020)
StringConstruct protein interaction map (PPI)https://String—db.org (accessed on 23 May 2020)
Venny 2.1Drawinghttps://bioinfogp.cnb.csic.es/tools/Venny/ (accessed on 17 May 2020)
MetascapeAnalyze the databasehttps://metascape.org/gp/index.html (accessed on 25 May 2020)
Cytospase3.7.1Drawing software——
Table 2. Drug group and dosage table of KM mice.
Table 2. Drug group and dosage table of KM mice.
GroupDose
(mg/cm2/d)
Dose Volume
(mL/cm2/d)
Drug Concentration
(mg/mL)
GroupDose
(mg/cm2/d)
Dose Volume
(mL/cm2/d)
Drug Concentration
(mg/mL)
Blank group0.025Model control group0.025
Minoxidi control group0.5000.02520.00
β-sitosterol group 1 0.123 0.0254.90 linoleic acid group 10.313 0.02512.50
β-sitosterol group 20.061 0.0252.45 linoleic acid group 20.156 0.0256.25
β-sitosterol group 30.031 0.0251.23 linoleic acid group 30.078 0.0253.13
β-sitosterol group 4 0.016 0.0250.62 linoleic acid group 40.039 0.0251.57
β-sitosterol group 5 0.008 0.0250.31 linoleic acid group 50.020 0.0250.79
vitamin E group 16.250 0.025250.00 oleic acid group 10.00055 0.0250.02200
vitamin E group 23.125 0.025125.00 oleic acid group 20.00028 0.0250.01100
vitamin E group 31.563 0.02562.50 oleic acid group 30.00015 0.0250.00600
vitamin E group 40.781 0.02531.25 oleic acid group 40.00008 0.0250.00300
vitamin E group 50.391 0.02515.63 oleic acid group 50.00004 0.0250.00150
Trans squalene group 10.123 0.0254.90 Campesterol group 10.060 0.0252.39
Trans squalene group 20.061 0.0252.45 Campesterol group 20.030 0.0251.20
Trans squalene group 30.031 0.0251.23 Campesterol group 30.015 0.0250.60
Trans squalene group 40.016 0.0250.62 Campesterol group 40.008 0.0250.30
Trans squalene group 50.008 0.0250.31 Campesterol group 50.004 0.0250.15
Fucosterol group 10.123 0.0254.90 Amygdalin group 10.123 0.0254.90
Fucosterol group 20.061 0.0252.45 Amygdalin group 20.061 0.0252.45
Fucosterol group 30.031 0.0251.23 Amygdalin group 30.031 0.0251.23
Fucosterol group 40.016 0.0250.62 Amygdalin group 40.016 0.0250.62
Fucosterol group 50.008 0.0250.31 Amygdalin group 50.008 0.0250.31
Table 3. Rating standard table of KM mice and C57BL/6 mice newborn hair condition.
Table 3. Rating standard table of KM mice and C57BL/6 mice newborn hair condition.
RatingStandard (KM Mice) Standard (C57BL/6 Mice)
IHairless growthThe skin of the administration area is pink
IIShallow hair overgrown depilated areaThe skin in the depilatory area is gray
IIIThe length and density of new hair is about one-half of the unhaired areaThe skin in the epilation area is black
IVNo difference between newborn hair growth and unhaired areasHair grows in the depilatory area
Table 4. Genomic DNA removal reaction system.
Table 4. Genomic DNA removal reaction system.
ReagentVolume (μL)
5 × gDNA Eraser Buffer2
gDNA Eraser1
Total RNA2
RNase Free dH2O5
Total10
Note: After adding each reagent in sequence, 42 °C, 2 min.
Table 5. Reverse transcription reaction system.
Table 5. Reverse transcription reaction system.
ReagentVolume (μL)
5 × PrimeScript Buffer 24
PrimeScript RT Enzyme Mix I1
RT Primer Mix1
RNA10
RNase Free dH2O4
Total20
Note: Add the reagents one by one and put them on the PCR machine for reaction.
Table 6. Primers and base sequences used in detection.
Table 6. Primers and base sequences used in detection.
Primer NameUpstreamDownstreamCitation Length, bp
β-actingaagatcaagatcattgctcctactcctgcttgctgatcca111
Cyclin D 1ccagaggcggatgagaacaagcagactgtgcggtagcaggagaggaagttgt183
GSK3βacagtggtgtggatcagttggtggaaccagaggcggatgagaacaagcagac153
LEF 1caacgggcatgaggtggtcagacaagagtgctcgtcgctgtaggtgatgagg293
β-actingaagatcaagatcattgctcctactcctgcttgctgatcca296
Table 7. PCR reaction system.
Table 7. PCR reaction system.
ReagentVolume (μL)
2 × Real PCR EasyTM Mix-SYBR 10.0
Forward Primer (10 μM)0.8
Reverse Primer (10 μM)0.8
Template (DNA)2.0
ddH2O6.4
Total20.0
Table 8. PCR reaction program.
Table 8. PCR reaction program.
Reaction Temperature TimeRemarks
95 °C30 sPredenaturation
95 °C5 stranssexual
55 °C30 sannealing
72 °C30 sFully extend to collect fluorescence
Note: 45 cycles.
Table 9. Chemical constituents of the kernel of P. mira.
Table 9. Chemical constituents of the kernel of P. mira.
CompoundCIDCompoundCID
amygdalin656516arachidic acid10467
beta-sitosterol222284campesterol173183
cyclododecene637538fucosterol5281328
glyceryl monooleatemonooleate5283468methyl linoleate5284421
methyl oleate5364509myristic acid11005
lauric acid3893linoleic acid5280450
oleic acid445639squalene638072
stearic acid5281trans-squalene638072
vitamin E14985
Table 10. Potential targets of the kernel of P. mira in the treatment of alopecia.
Table 10. Potential targets of the kernel of P. mira in the treatment of alopecia.
Gene NameGene NameGene NameGene NameGene NameGene Name
ABOACADVLACHEALADALOX12APIP
ARARHGAP11ARHGEF12ARL2AZGP1B2M
CALmL3CAMK4CAPN2CAPN9CCND1CCNE1
CD1BCD2CD8ACDCA8CDKN1BCEL
CES1CETN2CMASCREBBPCUL1CYB5A
CYB5BCYB5R3CYCSCYP2E1DDCDGCR8
DHPSDLG1DRAP1E2F1ECHS1EDC3
EEF1A1EGFEIF2AK2EIF4A1EIF4EEP300
ESR2ETFBEZRF2FLOT2FUT8
GAD1GCGCDHGLB1GLYCTKGOT2
GSSGSTA1GYG1HBA2HBBHEXA
HMOX1HSD17B11HSD17B4HSP90AB1KCNIP3LAP3
LDHCLIG1LIG4LTFMAGEA4MAGI2
MAN2A1MAN2B1MBMDM2MEX3DMMP2
MOGMRI1MTAPMUC1NGLY1NPL
NR1I3NUCB1OGG1P4HBPAPOLAPEBP1
PFN2PHGDHPMM1POLRMTPOT1PPP1R8
PPP2R1APRPS1PTGS1PTPRJPTPRNRAB5C
RAB7ARAC1RANBP2RARGRBP4RGS18
RGS6RHORPS3RRM1RUNX1T1RXRB
RXRGS100A11S100A6S100A8S100BSCO2
SDHASF1SIN3ASMSSOD2SRP54
SUB1SUOXTCEA3THBS1THRBTJP1
TOXTRPV6TUFMTXNRD1UNGUSF1
USH1CUSP14USP19USP8VCP
Table 11. Correlation between standard concentration and area under peak of chemical components in the kernel of P. mira.
Table 11. Correlation between standard concentration and area under peak of chemical components in the kernel of P. mira.
Chemical ComponentLinear Regression EquationCorrelation Coefficient
(R)
Linear Range (µg/mL)PrecisionRepeatabilityStabilityAverage Value of Sample RecoverySample Recovery Rate
Amygdaliny = 10749x + 10189820.999380.00–1280.002.60%2.40%2.8%95.04%1.60%
Table 12. Contents of amygdalin in the kernels of P. mira.
Table 12. Contents of amygdalin in the kernels of P. mira.
OriginAltitude
(m)
LongitudeLatitudeOil Yield (%)Content (mg/g)
Amygdalin
Xulong Township, Derong County293599°13′7005″28°74′1808″38.0814.8 ± 0.2
Zhongza Town, Batang County292999°19′1089″29°21′2186″37.8911.0 ± 1.8
Bajiaolou Township, Yajiang County2719101°06′1872″30°06′0709″37.9415.1 ± 0.3
Chitu Township, Daocheng County3164100°16′1899″28°37′3726″38.1316.2 ± 0.3
Malkang Forestry Bureau2630102°13′4203″31°55′2159″38.1113.9 ± 0.7
Xinlong County3066100°31′1368″30°93′9169″38.0425.9 ± 0.7
Zhengdou Township, Xiangcheng County275099°31′2148″29°05′4042″37.5311.1 ± 2.7
Wachang Town, Muli County2577100°50′2772″28°09′4138″38.2315.1 ± 4.8
Pusharong Township, Kangding City2922101°19′1446″29°32′1447″38.0519.6 ± 0.1
Jiaer Town, Jiulong County2823101°30′3892″28°59′1512″38.0421.2 ± 0.3
Nixi Township, Shangri-La City *313599°50′6456″28°04′7398″37.8712.1 ± 1.8
Benzilan Town, Deqin County *222099°16′4288″28°14′2346″37.9413.5 ± 2.7
Note: Those marked with * are areas under the jurisdiction of Yunnan Province, China, and the others are areas under the jurisdiction of Sichuan Province, China; n = 3.
Table 13. Newborn hair growth rating, the newborn hair length and hair weight in KM mice (n = 10).
Table 13. Newborn hair growth rating, the newborn hair length and hair weight in KM mice (n = 10).
GroupDose
(mg/cm2/d)
Newborn Hair Growth RatingNewborn Hair Length (mm)Newborn Hair Weight (mg)
Day 2Day 4Day 6
IIIIIIIVpIIIIIIIVpIIIIIIIVp
Blank group55000.66003700.024 *00370.129 *6.72 ± 0.53 **2.82 ± 1.26 **
Model control group7300082002443.73 ± 1.7 1.33 ± 0.59
Minoxidi control group0.50073001.00002530.003 **00370.1294.63 ± 0.852.03 ± 0.51 *
β-sitosterol group 1 0.123 82000.016 * 34300.11313510.1293.64 ± 1.701.86 ± 0.74
β-sitosterol group 20.061 91000.001 * 04600.044 * 04420.2273.91 ± 1.952.38 ± 1.27 *
β-sitosterol group 30.031 82000.016 * 07300.628 *02620.2623.51 ± 0.551.95 ± 0.98
β-sitosterol group 4 0.016 73001.000 07300.628 *03610.2273.23 ± 1.421.49 ± 0.75
β-sitosterol group 5 0.008 73001.000 12610.063 *11350.8154.02 ± 1.832.20 ± 1.36
linoleic acid group 10.313 28000.06416300.92823320.1373.35 ± 2.691.64 ± 1.42
linoleic acid group 20.156 07300.021 *02800.005 **02260.5255.33 ± 1.691.82 ± 1.42
linoleic acid group 30.078 17200.003 **13600.17711440.3804.28 ± 2.111.64 ± 1.11
linoleic acid group 40.039 37000.08114500.350 12340.7583.97 ± 12.331.26 ± 0.71
linoleic acid group 50.020 25300.181 12700.060 12070.137 4.36 ± 2.411.38 ± 0.81
vitamin E group 16.250 73001.00003700.024 *02530.7544.33 ± 2.032.50 ± 1.21 *
vitamin E group 23.125 73001.00004600.044 *02441.0004.28 ± 1.662.56 ± 0.97 **
vitamin E group 31.563 64000.67307300.62803430.5963.62 ± 1.552.59 ± 1.03 **
vitamin E group 40.781 64000.67307300.62804330.4752.92 ± 2.381.66 ± 1.02
vitamin E group 50.391 82000.66024310.80514140.4393.52 ± 2.121.90 ± 1.33
oleic acid group 10.00055 37000.08121520.13220080.2404.65 ± 2.342.05 ± 1.08
oleic acid group 20.00028 19000.05811530.05111530.6864.70 ± 2.392.14 ± 1.32
oleic acid group 30.00015 37000.08143300.37524040.2793.90 ± 2.201.91 ± 1.35
oleic acid group 40.00008 37000.08112430.05431150.7003.67 ± 2.252.30 ± 1.32
oleic acid group 50.00004 82000.89771200.022 *53200.001 **2.58 ± 2.361.66 ± 1.55
Tran squalene group 10.123 73001.000 63100.013 *62200.002 **1.52 ± 1.73 **0.90 ± 1.10 *
Trans squalene group 20.061 28000.06415220.49302441.0004.03 ± 2.061.72 ± 0.77
Trans squalene group 30.031 37000.08122420.26720350.8764.97 ± 2.342.27 ± 1.26
Trans squalene group 40.016 16300.84012430.05412160.7534.88 ± 1.443.03 ± 1.85
Trans squalene group 50.008 28000.06404330.05002441.0004.47 ± 1.382.29 ± 1.54
Campesterol group 10.060 37000.08122600.330 22150.7583.40 ± 2.751.68 ± 1.59
Campesterol group 20.030 46000.19632500.81230430.4382.96 ± 2.481.86 ± 0.77
Campesterol group 30.015 16300.84015310.54612340.7583.72 ± 2.451.42 ± 0.86
Campesterol group 40.008 36100.84024400.86822150.7583.68 ± 2.891.15 ± 0.97
Campesterol group 50.004 17200.05313600.17712251.0004.14 ± 2.041.97 ± 0.97
Fucosterol group 10.123 25300.05322330.23711350.8154.32 ± 2.202.88 ± 1.86
Fucosterol group 20.061 72100.89224400.86820260.049 *3.53 ± 2.382.29 ± 1.53
Fucosterol group 30.031 14500.01102440.002 **00460.037 *5.14 ± 1.21 *2.83 ± 0.99
Fucosterol group 40.016 55000.41232500.81213330.3954.43 ± 1.562.59 ± 1.80
Fucosterol group 50.008 25300.05313420.13803160.6934.58 ± 1.702.64 ± 1.21
Amygdalin group 10.123 06400.055 02440.014 *02170.034 *5.58 ± 1.63 *2.29 ± 0.74
Amygdalin group 20.061 71200.38412430.05411350.8155.05 ± 2.003.46 ± 1.80
Amygdalin group 30.031 26200.37603340.031 *00370.029 *5.04 ± 1.412.11 ± 0.97
Amygdalin group 40.016 08200.06405500.17802350.7544.43 ± 1.562.24 ± 1.28
Amygdalin group 50.008 44200.12922510.29821430.4863.78 ± 2.161.67 ± 1.23
Note: Compared with the model control group, * p ≤ 0.05, ** p ≤ 0.01.
Table 14. Effects of five effective components in the kernel of P. mira on the newborn hair growth rating of C57BL/6 mice depilation model induced by sodium sulfide.
Table 14. Effects of five effective components in the kernel of P. mira on the newborn hair growth rating of C57BL/6 mice depilation model induced by sodium sulfide.
GroupDose
(mg/cm2/d)
Skin Blackening Time (Day)Newborn Hair Growth Rating
Day 7Day 14Day 21
IIIIIIIVpIIIIIIIVpIIIIIIIVp
Model control group11.70 ± 3.64820011440127
Minoxidi control group0.5008.70 ± 1.70 *0910p ≤ 0.0100010p ≤ 0.0500010p ≥ 0.05
β-sitosterol group 20.0618.80 ± 2.04 *3520p ≤ 0.010019p ≤ 0.0500010p ≥ 0.05
β-sitosterol group 30.0319.10 ± 1.732800p ≤ 0.010028p ≥ 0.0500010p ≥ 0.05
β-sitosterol group 40.0168.80 ± 1.03 *1810p ≤ 0.010019p ≤ 0.0500010p ≥ 0.05
linoleic acid group 10.3139.10 ± 1.523610p ≤ 0.010028p ≥ 0.0500010p ≥ 0.05
linoleic acid group 20.1568.70 ± 0.82 *2800p ≤ 0.010019p ≤ 0.0500010p ≥ 0.05
linoleic acid group 30.0789.10 ± 1.292710p ≤ 0.010136p ≥ 0.0500010p ≥ 0.05
vitamin E group 10.31310.20 ± 2.623700p ≤ 0.010217p ≥ 0.0500010p ≥ 0.05
vitamin E group 20.1568.50 ± 1.18 *2710p ≤ 0.010019p ≤ 0.0500010p ≥ 0.05
vitamin E group 30.0789.10 ± 1.793700p ≤ 0.010118p ≥ 0.0500010p ≥ 0.05
Fucosterol group 20.0619.10 ± 1.10 *1900p ≤ 0.010136p ≥ 0.0500010p ≥ 0.05
Fucosterol group 30.03110.20 ± 2.625500p ≥ 0.051045p ≥ 0.0500010p ≥ 0.05
Fucosterol group 40.0169.20 ± 2.492710p ≤ 0.010127p ≥ 0.0500010p ≥ 0.05
Amygdalin group 20.0619.70 ± 1.8301000p ≤ 0.010028p ≥ 0.0500010p ≥ 0.05
Amygdalin group 30.0319.40 ± 1.433700p ≤ 0.010127p ≥ 0.050019p ≥ 0.05
Amygdalin group 40.0169.20 ± 0.922710p ≤ 0.010145p ≥ 0.0500010p ≥ 0.05
Note: Compared with the model control group, * p ≤ 0.05, ** p ≤ 0.01.
Table 15. Effects of five active ingredients in the kernel of P. mira on the newborn hair length and weight of C57BL/6 mice depilation model induced by sodium sulfide.
Table 15. Effects of five active ingredients in the kernel of P. mira on the newborn hair length and weight of C57BL/6 mice depilation model induced by sodium sulfide.
GroupDose
(mg/cm2/d)
Number of Animals (Number)Newborn Hair Length
(Day 7, cm)
Newborn Hair Length
(Day 14, cm)
Newborn Hair Weight (g)
Model control group100.138 ± 0.1510.625 ± 0.1860.00154 ± 0.00071
Minoxidi control group0.500100.420 ± 0.133 ** 0.816 ± 0.161 ** 0.00260 ± 0.00035 **
β-sitosterol group 20.061 100.363 ± 0.203 ** 0.798 ± 0.116 ** 0.00284 ± 0.00044 **
β-sitosterol group 30.031 100.336 ± 0.153 ** 0.740 ± 0.1070.00258 ± 0.00037 **
β-sitosterol group 40.016 100.373 ± 0.113 ** 0.786 ± 0.120 ** 0.00299 ± 0.00051 **
linoleic acid group 10.313 100.296 ± 0.124 ** 0.693 ± 0.0710.00277 ± 0.00037 **
linoleic acid group 20.156 100.297 ± 0.152 ** 0.739 ± 0.1520.00230 ± 0.00050 **
linoleic acid group 30.078 100.238 ± 0.1880.787 ± 0.138 ** 0.00243 ± 0.00053 **
vitamin E group 10.313 100.238 ± 0.1730.693 ± 0.1560.00249 ± 0.00029 **
vitamin E group 20.156 100.316 ± 0.167 ** 0.716 ± 0.1310.00242 ± 0.00028 **
vitamin E group 30.078 100.314 ± 0.064 ** 0.755 ± 0.0650.00261 ± 0.00063 **
Fucosterol group 20.061 100.296 ± 0.145 ** 0.762 ± 0.1310.00260 ± 0.00050 **
Fucosterol group 30.031 100.186 ± 0.1730.735 ± 0.1290.00272 ± 0.00056 **
Fucosterol group 40.016 100.252 ± 0.1550.747 ± 0.0870.00257 ± 0.00041 **
Amygdalin group 20.061 100.362 ± 0.101 ** 0.717 ± 0.0930.00216 ± 0.00041 **
Amygdalin group 30.031 100.201 ± 0.1460.619 ± 0.1820.00208 ± 0.00056 **
Amygdalin group 40.016 100.208 ± 0.1210.693 ± 0.1000.00250 ± 0.00058
Note: Compared with the model control group, * p ≤ 0.05, ** p ≤ 0.01.
Table 16. Effects of three effective components of the kernel of P. mira on the number of hair follicles and dermal thickness in the experiment of C57BL/6 mice depilation model induced by sodium sulfide.
Table 16. Effects of three effective components of the kernel of P. mira on the number of hair follicles and dermal thickness in the experiment of C57BL/6 mice depilation model induced by sodium sulfide.
GroupDose (mg/cm2/d)Dermis Thickness
(nm)
Dermis Thickness (Number)Secondary Hair
Follicle (Number)
Total Number of Hair Follicles (Number)
Model control group360.15 ± 150.4422.17 ±12.2536.33 ± 21.0259.7 ± 29.26
Minoxidi control group0.50344.63 ± 137.0920.10 ± 12.9843.37 ± 31.6963.47 ± 44.28
β-sitosterol group 20.061345.24 ± 107.9319.30 ± 11.1541.17 ± 27.5960.47 ± 38.15
linoleic acid group 20.156381.06 ± 156.6814.27 ± 10.1824.83 ± 21.1539.10 ± 32.96
vitamin E group 20.156350.47 ± 150.8720.63 ± 11.8537.73 ± 22.6058.37 ± 34.36
Table 17. Effects of three effective components of the kernel of P. mira on the mRNA expression of four targets in the Wnt/β-catenin signaling pathway in the skin tissue of C57BL/6 mice ( x ¯ ± s ).
Table 17. Effects of three effective components of the kernel of P. mira on the mRNA expression of four targets in the Wnt/β-catenin signaling pathway in the skin tissue of C57BL/6 mice ( x ¯ ± s ).
GroupDose
(mg/cm2/d)
β-cateninGSK3βCyclin D 1LEF 1
Model control group0.23 ± 0.110.36 ± 0.161.61 ± 0.680.43 ± 0.17
Minoxidi control group0.500.71 ± 0.27 **0.79 ± 0.27 **1.07 ± 0.21 *0.81 ± 0.20 **
β-sitosterol group 20.0610.27 ± 0.260.57 ± 0.18 **1.31 ± 0.280.61 ± 0.18 *
linoleic acid group 20.1560.39 ± 0.260.72 ± 0.26 **1.41 ± 0.260.70 ± 0.32 *
vitamin E group 20.1560.50 ± 0.500.73 ± 0.19 **1.21 ± 0.430.91 ± 0.49 **
Note: Compared with the model control group, * p ≤ 0.05, ** p ≤ 0.01.
Table 18. Effects of three effective components of the kernel of P. mira on the protein expression of four targets in the Wnt/β-catenin signaling pathway in the skin tissue of C57BL/6 mice ( x ¯ ± s ).
Table 18. Effects of three effective components of the kernel of P. mira on the protein expression of four targets in the Wnt/β-catenin signaling pathway in the skin tissue of C57BL/6 mice ( x ¯ ± s ).
GroupDose
(mg/cm2/d)
Number of Animals (Number)β-cateninGSK3βCyclin D 1LEF 1
Model control group100.222 ± 0.0080.290 ± 0.0180.195 ± 0.0250.242 ± 0.010
Minoxidi control group0.50100.220 ± 0.0100.278 ± 0.0110.188 ± 0.0280.241 ± 0.012
β-sitosterol group 20.061100.218 ± 0.0060.284 ± 0.0220.183 ± 0.0310.231 ± 0.015
linoleic acid group 20.156100.217 ± 0.0080.278 ± 0.0090.171 ± 0.0210.229 ± 0.016
vitamin E group 20.156100.216 ± 0.0060.279 ± 0.0120.192 ± 0.0300.232 ± 0.017
Note: Compared with the model control group, * p ≤ 0.05, ** p ≤ 0.01.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zhou, Y.; Zhang, J.; Chen, W.; Li, X.; Fu, K.; Sun, W.; Liang, Y.; Xu, M.; Zhang, J.; Fan, G.; et al. Identification of Hair Growth Promoting Components in the Kernels of Prunus mira Koehne and Their Mechanism of Action. Molecules 2022, 27, 5242. https://doi.org/10.3390/molecules27165242

AMA Style

Zhou Y, Zhang J, Chen W, Li X, Fu K, Sun W, Liang Y, Xu M, Zhang J, Fan G, et al. Identification of Hair Growth Promoting Components in the Kernels of Prunus mira Koehne and Their Mechanism of Action. Molecules. 2022; 27(16):5242. https://doi.org/10.3390/molecules27165242

Chicago/Turabian Style

Zhou, You, Jingwen Zhang, Wanyue Chen, Xiaoli Li, Ke Fu, Weijun Sun, Yuan Liang, Min Xu, Jing Zhang, Gang Fan, and et al. 2022. "Identification of Hair Growth Promoting Components in the Kernels of Prunus mira Koehne and Their Mechanism of Action" Molecules 27, no. 16: 5242. https://doi.org/10.3390/molecules27165242

APA Style

Zhou, Y., Zhang, J., Chen, W., Li, X., Fu, K., Sun, W., Liang, Y., Xu, M., Zhang, J., Fan, G., Yin, H., & Wang, Z. (2022). Identification of Hair Growth Promoting Components in the Kernels of Prunus mira Koehne and Their Mechanism of Action. Molecules, 27(16), 5242. https://doi.org/10.3390/molecules27165242

Article Metrics

Back to TopTop