Next Article in Journal
Pharmacokinetic and Pharmacodynamic Drug–Drug Interactions: Research Methods and Applications
Next Article in Special Issue
Deciphering Molecular Aspects of Potential α-Glucosidase Inhibitors within Aspergillus terreus: A Computational Odyssey of Molecular Docking-Coupled Dynamics Simulations and Pharmacokinetic Profiling
Previous Article in Journal
Liver Fat Storage Is a Better Predictor of Coronary Artery Disease than Visceral Fat
Previous Article in Special Issue
Non-Targeted Metabolomics Combined with Chemometrics by UHPLC–Orbitrap–HRMS and Antioxidant Activity of Atractylodes chinensis (DC.) Koidez. from Eight Origins
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Metabolome Mining of Curcuma longa L. Using HPLC-MS/MS and Molecular Networking

1
Biological Chemistry Lab, Central Department of Chemistry, Tribhuvan University, Kirtipur 44618, Nepal
2
Department of Chemistry, Florida Agricultural and Mechanical University, Tallahassee, FL 32307, USA
3
Department of Biology, University of Florida, Gainesville, FL 32611, USA
*
Authors to whom correspondence should be addressed.
Metabolites 2023, 13(8), 898; https://doi.org/10.3390/metabo13080898
Submission received: 27 June 2023 / Revised: 16 July 2023 / Accepted: 27 July 2023 / Published: 29 July 2023

Abstract

:
Turmeric, Curcuma longa L., is a type of medicinal plant characterized by its perennial nature and rhizomatous growth. It is a member of the Zingiberaceae family and is distributed across the world’s tropical and subtropical climates, especially in South Asia. Its rhizomes have been highly valued for food supplements, spices, flavoring agents, and yellow dye in South Asia since ancient times. It exhibits a diverse array of therapeutic qualities that encompass its ability to combat diabetes, reduce inflammation, act as an antioxidant, exhibit anticancer properties, and promote anti-aging effects. In this study, organic extracts of C. longa rhizomes were subjected to HPLC separation followed by ESI-MS and low-energy tandem mass spectrometry analyses. The Global Natural Product Social Molecular Networking (GNPS) approach was utilized for the first time in this ethnobotanically important species to conduct an in-depth analysis of its metabolomes based on their fragments. To sum it up, a total of 30 metabolites including 16 diarylheptanoids, 1 diarylpentanoid, 3 bisabolocurcumin ethers, 4 sesquiterpenoids, 4 cinnamic acid derivatives, and 2 fatty acid derivatives were identified. Among the 16 diarylheptanoids identified in this study, 5 of them are reported for the first time in this species.

1. Introduction

Curcuma longa L., a member of the family Zingiberaceace, is commonly referred to as turmeric and is a perennial rhizomatous herbaceous plant, native to and cultivated in the tropical region of Southeast Asian countries. It has been a part of South Asian culture, used for coloring, preservatives, and as a spice for more than 4000 years. It is a popular ingredient in traditional medical practices, such as Siddha, Ayurveda, and Unani, commonly used as a natural remedy for various health conditions [1]. C. longa L. is rich in secondary metabolites and known to have antidiabetic, anticancer, antioxidant, anti-inflammatory, antibacterial, antifungal, antiviral, cardiovascular, and neuroprotective activities [2,3,4].
Diarylheptanoids and sesquiterpenoids are the major metabolites found in C. longa L. Diarylheptanoids are a distinct group of natural products comprising a heptane core structure with two phenyl rings at the one- and seven-positions. Due to the distinct characteristics of these compounds, various researchers have thoroughly investigated their therapeutic potential. The pharmacological activity of diarylheptanoids may be attributed to the high degree of flexibility in their core chemical structure and the presence of few hydroxyl or ketone functionalities, thus making them tolerant to biological molecules [5].
Curcuminoids, a subclass of diarylheptanoids, include curcumin and its derivatives such as bisdemethoxycurcumin and demethoxycurcumin, which are natural phenols with therapeutic potential [6,7]. Curcumin, one of the most abundant curcuminoids with a long history of medicinal importance, is present in the Curcuma species. It is found in high concentration in the rhizomes, making up about 3–6% of the dry weight [8].
The metabolic composition of plants may change in response to various physiological and environmental factors, and may also be influenced by their genetic makeup [9]. To analyze and compare all biological metabolites with a molecular mass up to 1500 Da, metabolomics is an appealing tool. Metabolomics, which is a rapidly growing research field, comprises methods and techniques to analyze metabolites in biosynthetic pathways, thereby providing insights into the biochemical conditions of biological systems.
Targeted and untargeted approaches are the two strategies used in metabolomics. In targeted metabolomics, preselected specific metabolites are identified, whereas untargeted metabolomics involves the detection and identification of all metabolites, including unknown chemicals [10]. In the field of metabolomics, a combination of chromatography with mass spectrometry is regarded as the fundamental and essential analytical technique, and it is frequently utilized due to its ability to analyze complex biological samples, as well as its large dynamic range and reproducibility [11,12]. Moreover, advancements in metabolomics have ramped up its development as a crucial tool in the medical field, particularly in the investigation of biomarkers associated with diseases and toxic chemicals, as well as in the exploration of molecular mechanisms to deliver thorough insight into human biochemistry [13].
The complex MS/MS data acquired in metabolomics experiments can be visualized and analyzed employing a computer-based approach, molecular networking, which establishes a network-shaped map based on similarity in CID-MS/MS fragmentation patterns of two or more molecules. Global Natural Products Social Molecular Networking (GNPS) is a crucial online bioinformatics tool that is currently being utilized to perform molecular networking; it can detect possible resemblance among all MS2 datasets, which further aids in the annotation of unknown but closely related metabolites [14].
Curcuma longa has been extensively investigated in the past for its metabolites [15,16]. Sesquiterpenoids and terpecurcumins extracted from C. longa L. have been studied for their anti-inflammatory, anti-atherosclerotic, and cytotoxic properties [17,18,19]. Recently, the antioxidant potential of diarylheptanoids has been explored [20,21]. Additionally, recent studies have analyzed metabolite differences between five Curcuma species using UPLC-MS/MS and reported that the quantity of curcuminoids in C. longa L. is higher than that in Curcuma species [22].
The main goal of this research is to explore secondary metabolites present in the rhizomes of Curcuma longa L. through the application of high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS) and molecular networking techniques.

2. Materials and Methods

2.1. Plant Collection and Extract Preparation

Fresh rhizomes (400 g) were collected by harvesting 10 Curcuma longa L. plants from Bardiya district (GPS coordinates: 28°14′25.9″ N, 81°31′22.3″ E) of Lumbini Province, Nepal, and were thoroughly washed, cut into slices, and left to dry in the sunlight for a week. After drying, sliced rhizomes were milled into fine powder and stored in air-tight plastic bags. The pulverized powder (46.564 g) was macerated with 100 mL methanol. The powdered sample was subjected to a 24 h soaking process in methanol, followed by filtration. The aforementioned procedure was repeated thrice; and, by setting the temperature of the rotatory evaporator at 40 °C, the diluted extract was concentrated each time until a solid mass was obtained. Fractionation of crude extract was carried out by dissolving it into distilled water and subsequently extracting it using ethyl acetate and hexane.

2.2. Mass Spectrometry and Compound Annotation

The high-performance liquid chromatography-high resolution-mass spectrometry (HPLC-HR-MS/MS)-based metabolic profiling of ethyl acetate and hexane fractions of C. longa rhizome was carried out on a Bruker maXis II LC-ESI-QTOF mass spectrometer at Gross lab, Department of Pharmaceutical Biology, University of Tübingen, Germany. An LC method was applied as follows: with 0.1% formic acid in H2O as solvent A and acetonitrile as solvent B, a linear gradient of 10% to 100% B for 35 min, 100% B for an additional 10 min, using a flow rate of 0.5 mL/min; 3 µL injection volume and UV detector (UV/Vis) wavelength monitoring at 190–800 nm. The separation was performed using a Luna Omega Polar C18 column (3 µm, 250 × 4.6 mm). The following experimental parameters were utilized for the analysis: a capillary voltage of 4500 V, nebulizer gas pressure (nitrogen) of 2 (1.6) bar, ion source temperature set at 200 °C, and a dry gas flow rate of 7–9 L per minute at source temperature. The MS data acquisition was performed in the range of m/z 100–1800. Both modes of ionization were employed to measure HRMS data and spectral acquisition rates were set to 3 Hz for MS1 and 10 Hz for MS2, as described by Aryal et al. [23]. To obtain MS/MS fragmentation data, the experiment employed a selection process where the 10 most intense ions per MS1 were chosen for collision-induced dissociation (CID). Stepped CID energy was then applied to induce the fragmentation process. The parameters used for tandem MS were applied according to the previously described method by Garg et al. [24]. In this experiment, Sodium formate and Hexakis (2,2-difluoroethoxy) phosphazene (Apollo Scientific Ltd., UK) were used as internal calibrants and as lock mass, respectively.
The raw data were manually skimmed for quality and then analyzed in Bruker Compass Data Analysis (Version 4.4, Bruker Daltonics GmbH, Billerica, MA, USA). Subsequently, raw data files were converted into .mzXML format and further annotated using CSI: FingerID (a graphical user interface for SIRIUS) [25]. The calculated mass, absolute error, RDBE, and molecular formulae were generated by using Bruker Data Analysis software and were compared with the formula generated by SIRIUS. Furthermore, the annotated compounds were validated via the SIRIUS score, literature survey, and natural products-based servers and databases, such as PubChem [26], LOTUS [27], and ChemSpider [28]. The higher the value of the SIRIUS score, the higher the confidence of molecular annotation.

2.3. GNPS-Based Molecular Networking

GNPS platform (https://gnps.ucsd.edu/) (accessed on 12 May 2023) leverages complex MS/MS data in metabolomics experiments for the visualization and further annotation of metabolites based on similarity in fragmentation patterns [29]. The raw data files (.d format) in positive ionization mode of ethyl acetate and hexane fractions were first converted to .mzXML format using open-source MSConvert software (Version: 3.0). The converted files were uploaded to Mass Spectrometry Interactive Virtual Environment (MassIVE) dataset (https://massive.ucsd.edu/) (Accession number: MSV000092243, accessed on 12 May 2023) using FTP client CoffeeCup. The precursor ion and fragment ion mass tolerance was set at 2.0 Da and 0.5 Da, respectively. Then, GNPS was performed to construct a network by setting the cosine score value greater than 0.7. The generated molecular networks were then exported to Cytoscape software (Version: 3.10.0) in ‘.graphml’ format to visualize the networks.

3. Results

3.1. Metabolite Profiling Using HPLC-MS/MS

The LC-HR-ESI-MS/MS-based metabolite profiling of the rhizomes of C. longa L. displayed a significant abundance of therapeutically active compounds belonging to various classes, including phenolic compounds, cinnamic acid derivatives, sesquiterpenoids, and fatty acids. The base peak chromatograms of ethyl acetate fraction for positive and negative modes of ionization are shown in Figure 1 and Figure 2, respectively.
A total of 30 s metabolites annotated from the HR-MS data of ethyl acetate and hexane fractions ionized in both positive and/or negative modes are listed in Table 1.
The MS1 and MS2 profiles of the observed metabolites are displayed in Supplementary Figures S1–S30. The structures of the annotated metabolites are displayed in Figure 3.
The molecular ion of compound 7 was detected at 17.4 min with m/z 315.1602 [M−H]. The MS2 spectrum revealed a fragment ion with m/z 193 [M−H−122] because of the elimination of the ethylphenol C8H10O unit. Moreover, the elimination of the C10H14O2 unit from the precursor ion gave a base peak at m/z 149 [M−H−166], which further eliminated a CO molecule to give a product ion with m/z 121 [M−H−166−CO] followed by the departure of the methyl radical, so that a fragment was observed with m/z 106 [M−H−166−CO−CH3]. Additionally, a fragment ion with m/z 163 [M−H−150−2] attributed to the simultaneous elimination of the C9H10O2 unit and H2 was detected. Hence, compound 7 was recognized as 1,7-bis(4-hydroxyphenyl)-3,5-heptanediol, which was already reported in C. longa L. [30]. Compound 8 displayed a molecular ion with m/z 325.1082 [M−H] at 17.7 min, and its MS2 profile showed characteristic fragment ions with m/z 307 [M−H−H2O] owing to the elimination of a water molecule, m/z 187 due to [M−H−H2O−C7H4O2], and m/z 161 attributed to [M−H−C9H8O3], which further lost a –OH group to generate a base peak with m/z 145 [M−H−C9H8O3−OH], as shown in Supplementary Figure S31. Thus, compound 8 was annotated as 3-hydroxy-1,7-bis(4-hydroxyphenyl)-6-heptene-1,5-dione, which was already reported in C. longa L. [31].
Compound 9, eluted at 18.3 min, was detected as a protonated molecule at m/z 325.1080 [M+H]+. Its MS2 profile exhibited a base peak with m/z 147 due to the removal of the C10H10O3 moiety [M+H−C10H10O3]+. Additionally, a fragment ion with m/z 163 owing to [M+H−C10H10O2]+ was detected. As a result, compound (9) was tentatively annotated as 1-(4-hydroxyphenyl)-7-(3,4-dihydroxyphenyl)-1,6-heptadiene-3,5-dione [31]. Compound 11, eluted at 18.7 min, showed protonated molecules with m/z 313.1441 [M+H]+ as well as m/z 311.128 [M−H] in the (+)-ESI and (–)-ESI, respectively. Its MS2 spectrum in (+)-ESI mode displayed distinct fragment ions, with m/z 147 [M+H−18−148]+ as a base peak because of the removal of a water molecule followed by the elimination of a neutral C10H12O unit, and m/z 107 [M+H−18−188]+ attributed to the removal of a water molecule followed by loss of C12H12O2. The base peak C9H7O2+ (m/z 147) further eliminated a CO molecule to give a peak at m/z 119 [C9H7O2−CO]+. In a similar way, the MS2 spectrum in (–)-ESI mode revealed a distinct base peak with m/z 161 [M−H−150] attributed to the elimination of the C9H10O2 unit. Additionally, fragment peaks with m/z 149 corresponding to [M−H−C10H10O2] and m/z 119 because of [M−H−C11H12O3] were detected. Thus, compound 11 was annotated as 5-hydroxy-1,7-bis(4-hydroxyphenyl)hept-1-en-3-one, which was already reported in C. longa [30].
Compound 12, eluted at 20.6 min, was detected as a protonated molecule with m/z 267.1021 [M+H]+. Its MS2 spectrum revealed a distinct base peak with m/z 147 [M+H−120]+ corresponding to the elimination of the C8H8O unit. Additionally, fragment ions with m/z 119 [M+H−148]+ owing to the elimination of C9H8O2 unit and m/z 107 [M+H−160]+ due to the removal of C10H8O2 were detected. Hence, compound 12 was tentatively annotated as 1,5-bis(4-hydroxyphenyl)-1,4-pentadiene-3-one, formerly reported in Curcuma domestica [32]. Compound 13 showed molecular ions with m/z 293.1178 [M+H]+ in positive ionization at 22.4 min and m/z 291.1029 [M−H] in (–)-ESI ionization at 22.2 min. The MS2 profile in negative mode revealed characteristic peaks at m/z 171 as base peaks owing to [M−H−C8H8O], m/z 145 because of the [M−H−C9H6O2] ion, and m/z 119 owing to [M−H−C11H8]. Thus, compound 13 was tentatively detected as 1,7-bis(4-hydroxyphenyl)hepta-1,4,6-trien-3-one, previously reported in C. longa [33]. Compound 14 was detected in negative ionization mode at 22.4 min with a deprotonated molecule with m/z 323.0928 [M−H]. Its MS2 spectrum revealed a base peak with m/z 135 [M−H−188] with the elimination of C11H8O3. Apart from this, a fragment peak with m/z 119 [M−H−204] was detected with the elimination of C11H8O4. Thus, the compound was identified as 1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)hepta-1,6-diene-3,5-dione, which was already reported in C. longa [31]. Compound 15 was detected at 22.4 and 22.8 min with protonated molecules with m/z 355.1185 [M+H]+ and m/z 353.1034 [M−H] in (+)- ESI and (–)-ESI ionization, respectively. Its MS2 profile revealed a distinctive peak with m/z 271, which corresponded to fragment ion [M+H−84]+ after the elimination of C4H4O2. Likewise, fragment peaks with m/z 177 [M+H−178]+ after the elimination of C10H10O3 and m/z 163 [M+H−192]+ after the removal of C11H12O3 were detected. Thus, compound 15 was identified as monodemethylcurcumin, which was already reported in C. domestica [34].
Compound 16 had a molecular ion at m/z 309.1127 in (+)-ESI ionization and m/z 307.0979 in (–)-ESI ionization, and was identified as bisdemethoxycurcumin, which was previously observed in C. longa [35]. Its MS2 profile in positive mode revealed a distinctive peak with m/z 147 [M+H−162]+ as the base peak, corresponding to the elimination of the C10H10O2 unit. A fragment ion was observed at m/z 225 [M+H−84]+ and attributed to the breakdown of the C4H4O2 unit, which further eliminated a phenol molecule to give a peak at m/z 131 [M+H−C4H4O2−C6H6O]+. Additionally, another product ion was observed with m/z 107 [M+H−205]+ because of the breakage of the C12H13O3 unit. The observed CID-MS/MS fragmentation pattern of compound 16 is shown in Supplementary Figure S32. Compound 17 displayed molecular ions with m/z 311.1280 [M+H]+ and m/z 309.1132 [M−H] at 24.2 min. Its MS2 profile revealed a distinct peak with m/z 147 [M+H−164]+ as a base peak because of the elimination of C10H12O2. In addition to this, we detected distinct peaks at m/z 107 attributed to [M+H−C12H12O3]+, m/z 225 owing to [M+H−C4H4O2]+, and m/z 131 [M+H−C4H4O2−C6H6O]+ corresponding to elimination of a phenol molecule from m/z 225. Thus, compound 17 was identified as 1,7-bis(4-hydroxyphenyl)hept-1-ene-3,5-dione, and this compound was already reported in C. longa L. [33]. The observed CID-MS/MS fragmentation pattern of compound 17 is shown in Figure S33. Compound 18 exhibited molecular ions with m/z 339.1229 [M+H]+ in (+)-ESI mode at 24.8 min and m/z 337.1085 [M−H] in (–)-ESI mode at 25.0 min. Its MS2 profile in positive mode revealed characteristic peaks with m/z 177 because of [M+H−C10H10O2]+ as a base peak, m/z 147 resulting from [M+H−C11H12O3]+, and m/z 255 owing to [M+H−C4H4O2]+. Thus, compound 18 was tentatively identified as demethoxycurcumin, and it was previously reported in C. longa L [31,33]. The observed CID-MS/MS fragmentation pattern of this compound is shown in Figure S34. Compound 19 displayed molecular ions with m/z 369.1337 [M+H]+ and m/z 367.1190 [M−H] at 25.3 min in (+)-ESI and (–)-ESI mode, respectively. Its MS2 spectrum displayed a distinctive base peak with m/z 177 [M+H−192]+ owing to the breakdown of the C11H12O3 unit. Additionally, typical fragments with m/z 285 because of [M+H−C4H4O2]+ and m/z 161 corresponding to the elimination of the C7H8O2 unit from m/z 285 were observed. Thus, compound 19 was identified as curcumin, which is the most abundant curcuminoid reported in C. longa L [33,36]. The observed CID-MS/MS fragmentation pattern of curcumin is shown in Figure S35.
Compound 20 displayed a protonated molecule with m/z 543.2747 [M+H]+ at 27.0 min in positive ionization mode. The MS2 spectrum revealed a peak with m/z 147 as the base peak because of [M+H−C25H32O4]+ and m/z 309 [M+H−C15H24O2]+ owing to the breakage of bisabolene unit. Hence, compound 20 was putatively annotated as didemethoxybisabolocurcumin ether, and this compound was previously observed in C. longa L. [19]. Additionally, compounds 21 and 22 displayed sodium adduct ion peaks at m/z 595.2675 [M+Na]+ and m/z 625.2786 [M+Na]+ at 30.1 and 30.7 min, respectively, and the compounds were tentatively identified as demethoxybisabolocurcumin ether and bisabolocurcumin ether, respectively, based on the literature survey [19]. These three bisabolocurcumin ethers, 20, 21, and 22, are the derivatives of curcuminoids. These compounds consist of a carbon–oxygen bond linking a bisabolene-type sesquiterpene substructure to a 1,7-diarylheptanoid framework.
Compound 2, eluted at 15.3 min, was detected as a protonated molecule with m/z 165.0551 [M+H]+ and a deprotonated molecule at m/z 163.0401 [M−H] in (+)-ESI and (–)-ESI modes, respectively. Its MS2 profile in positive mode showed fragment ions with m/z 147 C9H9O2+ because of the removal of water [M+H−H2O]+, which further lost a CO molecule to generate a base peak with m/z 119 [M+H−H2O−CO]+. The ion C8H7O+ responsible for the base peak further lost a CO molecule to give a product ion having m/z 91. Similarly, the MS2 profile in negative mode revealed a characteristic peak with m/z 119 [M−H−44] attributed to the removal of the CO2 molecule, which further eliminated ethyne to generate a product ion with m/z 93 [M−H−CO2−C2H2]. Thus, compound 2 was annotated as 4-hydroxycinnamic acid, which was already observed in C. longa L. [37]. Compound 3 showed a protonated molecule with m/z 195.0657 [M+H]+. Its MS2 profile revealed characteristic fragments with m/z 177 because of [M+H−H2O]+ and m/z 163 owing to [M+H-CH3OH]+, which further lost a CO moiety to give a base peak at m/z 145. Thus, compound 3 was annotated as ferulic acid, which was reported previously in C. longa L. [37]. Compound 23, eluted at 16.0 min, showed molecular ions with m/z 153.0547 [M+H]+ and m/z 151.0339 [M−H]. Its MS2 profile in positive mode revealed a product ion with m/z 125 [M+H−CO]+ because of the elimination of a CO molecule, which further lost a CH3OH molecule to give a base peak with m/z 93. Further elimination of the CO molecule from m/z 93 generated a peak with m/z 65 [M+H−CO−CH3OH−CO]+. Moreover, its MS2 profile in negative ion mode showed a base peak at m/z 136 [M−H−CH3] attributed to the removal of a methyl radical that either eliminated a CO moiety to give a peak at m/z 108 or lost a CO2 molecule to give a peak at m/z 92. Thus, compound 23 was annotated as vanillin, previously reported in the rhizome of C. longa L. [37].
Compound 24 was observed as a molecular ion with m/z 191.0712 M−H]. Its MS2 spectrum displayed a distinct base peak with m/z 176 [M−H−CH3] resulting from the breakdown of a methyl radical. Thus, compound 24 was identified as dehydrozingerone, previously reported in Zingiber officinale [38]. Moreover, compound 25 was detected with m/z 235.1688 [M+H]+ as a molecular ion in positive ionization mode. The MS2 profile revealed fragment ions at m/z 161, m/z 135, m/z 121, m/z 119 (base peak), m/z 107, m/z 105, m/z 93, and m/z 83. This compound was annotated as dehydrocurdione and has already been reported in C. longa L. [39]. Compound 28, eluted at 28.5 min, displayed a protonated molecule with m/z 233.1534 [M+H]+. The MS2 spectrum revealed fragments at m/z 145, m/z 135, m/z 131, m/z 120, m/z 119 (base peak), m/z 117, m/z 91, and m/z 83. This compound was annotated as turmeronol A and was already identified in the rhizome of C. longa [40]. Compound 30 was eluted at 31.2 min and showed a protonated molecule with m/z 217.1588 [M+H]+. Its MS2 profile revealed a base peak with m/z 119 [M+H−98]+ because of the breakage of the C6H10O unit. Hence, compound 30 was tentatively assigned as ar-turmerone, which was already observed in C. zedoaria [41].
Compound 26 displayed a molecular ion (at 26.4 min) with m/z 235.1697 [M+H]+. The MS2 spectrum showed fragment ions at m/z 213, m/z 198, m/z 175, m/z 147, m/z 133 (base peak), m/z 107, and m/z 97. Therefore, compound 26 was tentatively annotated as (6s)-6-methyl-5-(3-oxobutyl)-2-(propan-2-ylidene)cyclohept-4-en-1-one, and it was previously reported in C. aromatica [42]. Compound 27 was eluted at 28.0 min and it displayed a molecular ion with m/z 293.2125. Its MS2 spectrum exhibited fragment ions at m/z 275 (base peak), m/z 235, m/z 231, m/z 232, m/z 171, and m/z 121. Therefore, compound 27 was putatively identified as 9-hydroxy-10, 12, 15-octadecatrienoic acid, which was already reported in the leaf of Isatis tinctoria [43]. Compound 29 was eluted at 29.6 min and exhibited a molecular ion with m/z 295.2282 [M-H]. Its MS2 spectrum revealed product ions with m/z 277 (base peak), m/z 195, m/z 183, and m/z 171. Hence, compound 29 was tentatively annotated as coriolic acid, which was previously reported in Deprea subtriflora [44].

3.2. Characterization of Compounds 1, 4, 5, 6, and 10

In our study, we observed diarylheptanoid compounds 1, 4, 5, 6, and 10 in turmeric for the first time. In (–)-ESI mode, compound 1 exhibited a molecular ion peak at the retention time of 14.7 min with m/z 345.1342 [M−H]. Its MS2 profile (Figure 4a) revealed a base peak with m/z 135 [M−H−C11H12O4−H2] corresponding to the C8H7O2 ion formed by the elimination of a C11H12O4 unit and H2 simultaneously. Furthermore, fragment ions (Figure S36) were detected at m/z 165 because of [M−H−C10H12O3] and m/z 209 owing to [M−H−C8H8O2]. Thus, compound 1 was identified as 1,7-bis(3,4-dihydroxyphenyl)-5-hydroxyheptan-3-one.
Compound 4 displayed molecular ions with m/z 333.1705 [M+H]+ and m/z 331.1552 [M−H] in (+)-ESI and (–)-ESI modes, respectively, at the retention time of 15.8 min. Its MS2 profile in positive mode (Figure 5a) showed characteristic fragment peaks with m/z 107 as a base peak due to removal of a water molecule, followed by the elimination of a C12H16O3 moiety, i.e., [M+H−H2O−C12H16O3]+; m/z 123 attributed to [M+H−H2O−C12H16O2]+; and m/z 149 due to [M+H−H2O−H2−C10H12O2]+. Thus, we identified compound 4 as 3,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)heptane based on fragment ions (Figure S37).
Compound 5, eluted at 16.4 min, showed a deprotonated molecular ion with m/z 329.1394 [M−H]. Its MS2 profile (Figure 4b) showed a distinct base peak with m/z 135 because of the simultaneous removal of neutral units C11H12O3 and H2, i.e., [M−H−C11H12O3−H2]. Based on the fragment ions (Figure S38) formed, this compound was annotated as 5-hydroxy-1-(4-hydroxyphenyl)-7-(3,4-dihydroxyphenyl)-3-heptanone.
Compound 6 was eluted at 17.1 min and it displayed a molecular ion with m/z 329.1392 [M+H]+ and m/z 327.1239 [M−H] in the (+)-ESI and (–)-ESI modes, respectively. Its MS2 profile (Figure 5b) in the (+)-ESI mode revealed a distinct base peak with m/z 163 [M+H−166]+ resulting from the breakage of the C9H10O3 unit. Further, a product ion with m/z 107 [M+H−206−OH]+ was observed because of the elimination of the C12H14O3 moiety followed by the –OH group. Hence, based on fragmentation behavior (Figure S39), this compound was identified as 1,7-bis(3,4-dihydroxyphenyl)hept-4-en-3-one.
Compound 10, eluted at 18.6 min, showed molecular ions with m/z 327.1233 [M+H]+ in the (+)-ionization and with m/z 325.1079 [M−H] in the (–)-ionization. The MS2 spectrum in positive mode (Figure 5c) revealed a peak with m/z 123 [M+H−204]+ as the base peak because of the removal of the neutral C12H12O3 unit. Additionally, fragment ions (Figure S40) were observed with m/z 205 [M+H−122]+, because of the elimination of C7H6O2, and with m/z 189 [M+H−138]+, attributed to the elimination of the neutral C8H10O2 unit. Similarly, its MS2 profile in negative mode (Figure 4c) revealed a base peak with m/z 203 [M−H−122] because of the loss of neutral unit C7H6O2. Another minor peak was detected at m/z 135 because of the breakdown of the neutral C11H10O3 unit. Based on fragment ions (Figure S41), this compound was identified as 1,7-bis(3,4-dihydroxyphenyl)hepta-4,6-dien-3-one.

3.3. GNPS-based Molecular Networking

Molecular networking analysis is an analytical method to analyze and visualize metabolites from HR-MS/MS data within the molecular network, where each metabolite is depicted as a node with its corresponding m/z value. This network consists of multiple clusters based on the resemblance of molecular fragmentation patterns, which indicates that they share similar core chemical structures [45]. A total of 476 individual ions were observed as nodes and 576 as edges in the molecular network, in which three clusters A, B, and C were formed, as shown in Figure 6.
A large cluster A formed in molecular networking was characterized by precursor ions with m/z 309.127, m/z 311.132, m/z 267.103, m/z 313.145, and m/z 293.118, which were identified as compounds 16, 17, 12, 11, and 13, respectively; these were previously identified on manual annotation. In cluster A, a precursor ion with m/z 295.135 showed similarity in MS2 spectra with m/z 293.118 and had a difference in m/z only 2. This showed that there should be one double bond difference between these precursor ions. Thus, precursor ion m/z 295.135 was identified as 1,7-bis(4-hydroxyphenyl)hepta-4,6-dien-3-one, isolated and reported previously from the rhizome of C. kwangsiensis [46]. Moreover, another small cluster, B, consists of three precursor ions (m/z 333.171, m/z 297.150, and m/z 313.182), and an ion with m/z 333.171 was identified as 3,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)heptane. The neutral loss of 36.021 Da from the precursor ion at m/z 333.171 and the cosine value of 0.8827 suggests the precursor ion m/z 297.150 has a similarity in MS2 spectra with m/z 333.171. Thus, the precursor ion at m/z 297.150 was putatively identified as 1,7-bis(4-hydroxyphenyl)hept-6-ene-3-one.

4. Discussion

Curcuma species are recognized for their abundant presence of turmerones, sesquiterpenes, and diarylheptanoids [39,47,48]. Diarylheptanoids, a class of compounds with remarkable biological effects, can be recognized by the 1,7-diphenylheptane framework and have recently attracted attention [49]. Compound 1, already reported in the leaves of Alnus japonica, was tentatively identified in the C. longa L. rhizome for the first time as 1,7-bis(3,4-dihydroxyphenyl)-5-hydroxyheptan-3-one [50]. Compound 4 was annotated as 3,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)heptane. Although this compound was previously reported from C. kwangsiensis [51], this is the first time it was observed in C. longa L. Compound 5 was putatively identified as 5-hydroxy-1-(4-hydroxyphenyl)-7-(3,4-dihydroxyphenyl)-3-heptanone. The presence of this compound was detected previously in the rhizome of C. kwangsiensis [51], and it was observed for the first time in the C. longa rhizome. Compound 6 was tentatively identified as 1,7-bis(3,4-dihydroxyphenyl)hept-4-en-3-one, previously reported in the leaves of Corylus maxima [52], and its presence was detected for the first time in C. longa. This compound was reported to show an anti-inflammatory effect [53]. Compound 10 was tentatively identified as 1,7-bis(3,4-dihydroxyphenyl)hepta-4,6-dien-3-one, reported previously from the rhizome of Dioscorea nipponica. Based on the information available in the literature, this compound was observed in C. longa for the first time. It has been reported that this compound has shown an anti-neuroinflammatory effect, suppressing NO generation in murine microglia BV-2 cells with IC50: 7.84 µM [54].
In this research, most of the metabolites detected were non-volatile, polar molecules, since the LC-HR-ESI-MS/MS-based analysis was limited to the detection of compounds with heteroatoms. As a result, therapeutically valued volatile compounds found in the C. longa rhizomes may be excluded by this approach and GC-MS-based analysis may become a choice for the detection of such compounds. Some of the metabolites were detected in hexane fractions despite their polarity. This may be due to the incomplete fractionation of rhizome extracts. Similarly, precursor ions eluted at a retention time of 19.3 min with m/z 353.1024, and at a retention time of 19.5 min with m/z 383.1132 in the positive mode of ionization of ethyl acetate fraction, were not further analyzed because these precursor ions have not undergone fragmentation. Further, due to the low abundance of some metabolites in the ethyl acetate fraction, these could not exhibit intense peaks in the base peak chromatogram (Figure 1).
Moreover, most of the diarylheptanoids were detected in the negative ion mode. The reason why diarylheptanoids are appropriate for detection in the negative ion mode is that they contain multiple hydroxyl groups. These hydroxyl groups make it effortless for the ionization in negative mode. Moreover, diarylheptanoids with low abundance were easily detected in the positive ionization mode, but not in the negative ionization mode. This observation indicates the low sensitivity of the negative mode in comparison with the positive mode of ionization. Additionally, it was found that the absence of a keto group in the heptyl chain affected the protonation of low-abundance diarylheptanoids in the positive ion mode and imposed difficulty for the fragmentation in negative ion modes, as mentioned previously [30].
The molecular networking strategy enables the simultaneous analysis of multiple mass spectra by creating multiple clusters based on similarity in the spectral data of molecules, thus simplifying the interpretation and visualization of complex datasets. Moreover, it gives information about the structural relationships among the compounds belonging to a particular cluster, thereby facilitating the identification of known and unknown metabolites and derivatives [55]. However, manual annotation of MS spectral data is tedious and time-consuming, and sometimes it may lead to erroneous interpretation of complex datasets. The majority of the metabolites detected in this research were already reported in C. longa L.; therefore, additional research is required to explore the unidentified nodes and edges present in molecular networking.

5. Conclusions

Turmeric has been widely used in food as a spice and in herbal medication and is a rich source of therapeutically active compounds. We chose liquid chromatography coupled with mass spectrometry owing to its high sensitivity and selectivity. This hyphenated technique has gained popularity in the past two decades in metabolomics studies to explore, identify, and validate naturally occurring bioactive compounds as well as biomarkers in the medicinal field. We used an HPLC-HR-ESI-MS/MS-based metabolomics approach along with molecular networking to study the metabolites in the turmeric extracts. The metabolic profiling of ethyl acetate and hexane fractions in both ionization modes showed the presence of 30 annotated metabolites, including 16 diarylheptanoids, 1 diarylpentanoid, 4 sesquiterpenoids, 3 bisabolocurcumin derivatives, 4 cinnamic acid derivatives, and 2 fatty acid derivatives. Five diarylheptanoids were identified for the first time in C. longa L. rhizomes. We have initiated this project where we analyzed the overall metabolome of C. longa L. rhizomes. In the future, we plan to work with several other traditionally important species to discover the differences in metabolite profiles and evaluate their bioactivities. Additional research is recommended to isolate and validate newly identified diarylheptanoid compounds, explore compounds in different Curcuma species, and check their bioactivities through in silico, in vitro, and in vivo experiments to develop potential drug candidates and food supplements.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/metabo13080898/s1, Figure S1: MS1 and MS2 spectra of compound 1, Figure S2: MS1 and MS2 spectra of compound 2, Figure S3: MS1 and MS2 spectra of compound 3, Figure S4: MS1 and MS2 spectra of compound 4, Figure S5: MS1 and MS2 spectra of compound 5, Figure S6: MS1 and MS2 spectra of compound 6, Figure S7: MS1 and MS2 spectra of compound 7, Figure S8: MS1 and MS2 spectra of compound 8, Figure S9: MS1 and MS2 spectra of compound 9, Figure S10: MS1 and MS2 spectra of compound 10, Figure S11: MS1 and MS2 spectra of compound 11, Figure S12: MS1 and MS2 spectra of compound 12, Figure S13: MS1 and MS2 spectra of compound 13, Figure S14: MS1 and MS2 spectra of compound 14, Figure S15: MS1 and MS2 spectra of compound 15, Figure S16: MS1 and MS2 spectra of compound 16, Figure S17: MS1 and MS2 spectra of compound 17, Figure S18: MS1 and MS2 spectra of compound 18, Figure S19: MS1 and MS2 spectra of compound 19, Figure S20: MS1 and MS2 spectra of compound 20, Figure S21: MS1 and MS2 spectra of compound 21, Figure S22: MS1 and MS2 spectra of compound 22, Figure S23: MS1 and MS2 spectra of compound 23, Figure S24: MS1 and MS2 spectra of compound 24, Figure S25: MS1 and MS2 spectra of compound 25, Figure S26: MS1 and MS2 spectra of compound 26, Figure S27: MS1 and MS2 spectra of compound 27, Figure S28: MS1 and MS2 spectra of compound 28, Figure S29: MS1 and MS2 spectra of compound 29, Figure S30: MS1 and MS2 spectra of compound 30, Figure S31: Observed CID-MS/MS fragmentation pattern of compound 8 in (–)-ESI mode, Figure S32: Observed CID-MS/MS fragmentation pattern of compound 16 in (+)-ESI mode, Figure S33: Observed CID-MS/MS fragmentation pattern of compound 17 in (+)-ESI mode, Figure S34: Observed CID-MS/MS fragmentation pattern of compound 18 in (+)-ESI mode, Figure S35: Observed CID-MS/MS fragmentation pattern of compound 19 in (+)-ESI mode, Figure S36: Observed CID-MS/MS fragmentation pattern of the precursor deprotonated molecule [M−H] at m/z 345.1340, Figure S37: Observed CID-MS/MS fragmentation pattern of the precursor protonated molecule [M+H]+ at m/z 333.1705, Figure S38: Observed CID-MS/MS fragmentation pattern of the precursor deprotonated molecule [M−H] at m/z 329.1394, Figure S39: Observed CID-MS/MS fragmentation pattern of the precursor protonated molecule [M+H]+ at m/z 329.1392, Figure S40: Observed CID-MS/MS fragmentation pattern of the precursor protonated molecule [M+H]+ at m/z 327.1233, and Figure S41: Observed CID-MS/MS fragmentation pattern of the precursor deprotonated molecule [M−H] at m/z 325.1079.

Author Contributions

Conceptualization, N.A. and N.P.; methodology, R.B. and A.P.T.; software, R.B., A.P.T. and N.A.; validation, N.P., B.P.R. and K.R.S.; formal analysis, N.A.; writing—original draft preparation, R.B. and A.P.T.; writing—review and editing, N.A., B.P.R. and K.R.S.; supervision, N.P., B.P.R. and K.R.S.; project administration, N.P.; funding acquisition, N.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the University Grants Commission (Nepal), Grant number: CRIG-78/79-S&T-01 (to N.P.).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are reported in the article and the Supplementary Materials or are available from the corresponding authors upon reasonable request.

Acknowledgments

The authors would like to acknowledge Harald Gross, Department of Pharmaceutical Biology (Gross lab), University of Tubingen, Germany for the measurement of the LC-HRMS data. We are thankful to University Grants Commission (Nepal).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rathaur, P.; Raja, W.; Ramteke, P.W.; John, S.A. Turmeric: The Golden Spice of Life. Int. J. Pharm. Sci. Res. 2012, 3, 1987–1994. [Google Scholar] [CrossRef]
  2. Issuriya, A.; Kumarnsit, E.; Wattanapiromsakul, C.; Vongvatcharanon, U. Histological Studies of Neuroprotective Effects of Curcuma Longa Linn. on Neuronal Loss Induced by Dexamethasone Treatment in the Rat Hippocampus. Acta Histochem. 2014, 116, 1443–1453. [Google Scholar] [CrossRef]
  3. Oliveira, G.; Marques, C.; de Oliveira, A.; de Almeida dos Santos, A.; do Amaral, W.; Ineu, R.P.; Leimann, F.V.; Peron, A.P.; Igarashi-Mafra, L.; Mafra, M.R. Extraction of Bioactive Compounds from Curcuma Longa L. Using Deep Eutectic Solvents: In Vitro and in Vivo Biological Activities. Innov. Food Sci. Emerg. Technol. 2021, 70, 102697. [Google Scholar] [CrossRef]
  4. Araújo, C.a.C.; Leon, L.L. Biological Activities of Curcuma Longa L. Mem. Inst. Oswaldo Cruz 2001, 96, 723–728. [Google Scholar] [CrossRef] [PubMed]
  5. Sun, D.-J.; Zhu, L.-J.; Zhao, Y.-Q.; Zhen, Y.-Q.; Zhang, L.; Lin, C.-C.; Chen, L.-X. Diarylheptanoid: A Privileged Structure in Drug Discovery. Fitoterapia 2020, 142, 104490. [Google Scholar] [CrossRef]
  6. Jayaprakasha, G.K.; Jaganmohan Rao, L.; Sakariah, K.K. Antioxidant Activities of Curcumin, Demethoxycurcumin and Bisdemethoxycurcumin. Food Chem. 2006, 98, 720–724. [Google Scholar] [CrossRef]
  7. de Oliveira Filho, J.G.; de Almeida, M.J.; Sousa, T.L.; dos Santos, D.C.; Egea, M.B. Bioactive Compounds of Turmeric (Curcuma Longa L.). In Bioactive Compounds in Underutilized Vegetables and Legumes; Murthy, H.N., Paek, K.Y., Eds.; Reference Series in Phytochemistry; Springer International Publishing: Cham, Switzerland, 2021; pp. 297–318. ISBN 9783030574154. [Google Scholar]
  8. Tayyem, R.F.; Heath, D.D.; Al-Delaimy, W.K.; Rock, C.L. Curcumin Content of Turmeric and Curry Powders. Nutr. Cancer 2006, 55, 126–131. [Google Scholar] [CrossRef]
  9. Li, Y.; Kong, D.; Fu, Y.; Sussman, M.R.; Wu, H. The Effect of Developmental and Environmental Factors on Secondary Metabolites in Medicinal Plants. Plant Physiol. Biochem. 2020, 148, 80–89. [Google Scholar] [CrossRef]
  10. Shulaev, V. Metabolomics Technology and Bioinformatics. Brief. Bioinform. 2006, 7, 128–139. [Google Scholar] [CrossRef]
  11. Dunn, W.B.; Bailey, N.J.C.; Johnson, H.E. Measuring the Metabolome: Current Analytical Technologies. Analyst 2005, 130, 606–625. [Google Scholar] [CrossRef]
  12. Dettmer, K.; Aronov, P.A.; Hammock, B.D. Mass Spectrometry-Based Metabolomics. Mass Spectrom. Rev. 2007, 26, 51–78. [Google Scholar] [CrossRef] [PubMed]
  13. Zhang, X.; Li, Q.; Xu, Z.; Dou, J. Mass Spectrometry-Based Metabolomics in Health and Medical Science: A Systematic Review. RSC Adv. 2020, 10, 3092–3104. [Google Scholar] [CrossRef] [PubMed]
  14. Vincenti, F.; Montesano, C.; Di Ottavio, F.; Gregori, A.; Compagnone, D.; Sergi, M.; Dorrestein, P. Molecular Networking: A Useful Tool for the Identification of New Psychoactive Substances in Seizures by LC–HRMS. Front. Chem. 2020, 8, 572952. [Google Scholar] [CrossRef] [PubMed]
  15. Li, L.; Yu, Y.; Lu, D.; Chen, J.; Guo, J.; Liang, J.; Zhang, A.; Yang, Z. Bioassay-Guided Separation and Identification of the Anticancer Composition from Curcuma Longa L. by the Combination Strategy of Methanol Gradient Countercurrent Chromatography and Ultra-High-Performance Liquid Chromatography Coupled with High-Resolution Mass Spectrometry. J. Sep. Sci. 2022, 45, 4478–4490. [Google Scholar] [CrossRef] [PubMed]
  16. Segneanu, A.-E.; Vlase, G.; Lukinich-Gruia, A.T.; Herea, D.-D.; Grozescu, I. Untargeted Metabolomic Approach of Curcuma Longa to Neurodegenerative Phytocarrier System Based on Silver Nanoparticles. Antioxidants 2022, 11, 2261. [Google Scholar] [CrossRef] [PubMed]
  17. Okuda-Hanafusa, C.; Uchio, R.; Fuwa, A.; Kawasaki, K.; Muroyama, K.; Yamamoto, Y.; Murosaki, S. Turmeronol A and Turmeronol B from Curcuma Longa Prevent Inflammatory Mediator Production by Lipopolysaccharide-Stimulated RAW264.7 Macrophages, Partially via Reduced NF-ΚB Signaling. Food Funct. 2019, 10, 5779–5788. [Google Scholar] [CrossRef]
  18. Guo, Y.-Q.; Wu, G.-X.; Peng, C.; Fan, Y.-Q.; Li, L.; Liu, F.; Xiong, L. New Bisabolane-Type Sesquiterpenoids from Curcuma Longa and Their Anti-Atherosclerotic Activity. Molecules 2023, 28, 2704. [Google Scholar] [CrossRef]
  19. Lin, X.; Ji, S.; Li, R.; Dong, Y.; Qiao, X.; Hu, H.; Yang, W.; Guo, D.; Tu, P.; Ye, M. Terpecurcumins A–I from the Rhizomes of Curcuma Longa: Absolute Configuration and Cytotoxic Activity. J. Nat. Prod. 2012, 75, 2121–2131. [Google Scholar] [CrossRef]
  20. Dong, S.; Luo, X.; Liu, Y.; Zhang, M.; Li, B.; Dai, W. Diarylheptanoids from the Root of Curcuma Aromatica and Their Antioxidative Effects. Phytochem. Lett. 2018, 27, 148–153. [Google Scholar] [CrossRef]
  21. Quirós-Fallas, M.I.; Vargas-Huertas, F.; Quesada-Mora, S.; Azofeifa-Cordero, G.; Wilhelm-Romero, K.; Vásquez-Castro, F.; Alvarado-Corella, D.; Sánchez-Kopper, A.; Navarro-Hoyos, M. Polyphenolic HRMS Characterization, Contents and Antioxidant Activity of Curcuma Longa Rhizomes from Costa Rica. Antioxidants 2022, 11, 620. [Google Scholar] [CrossRef]
  22. Ye, Y.; Zhang, X.; Chen, X.; Xu, Y.; Liu, J.; Tan, J.; Li, W.; Tembrock, L.R.; Wu, Z.; Zhu, G. The Use of Widely Targeted Metabolomics Profiling to Quantify Differences in Medicinally Important Compounds from Five Curcuma (Zingiberaceae) Species. Ind. Crops Prod. 2022, 175, 114289. [Google Scholar] [CrossRef]
  23. Aryal, N.; Chen, J.; Bhattarai, K.; Hennrich, O.; Handayani, I.; Kramer, M.; Straetener, J.; Wommer, T.; Berscheid, A.; Peter, S.; et al. High Plasticity of the Amicetin Biosynthetic Pathway in Streptomyces Sp. SHP 22-7 Led to the Discovery of Streptcytosine P and Cytosaminomycins F and G and Facilitated the Production of 12F-Plicacetin. J. Nat. Prod. 2022, 85, 530–539. [Google Scholar] [CrossRef]
  24. Garg, N.; Kapono, C.A.; Lim, Y.W.; Koyama, N.; Vermeij, M.J.A.; Conrad, D.; Rohwer, F.; Dorrestein, P.C. Mass Spectral Similarity for Untargeted Metabolomics Data Analysis of Complex Mixtures. Int. J. Mass Spectrom. 2015, 377, 719–727. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Dührkop, K.; Fleischauer, M.; Ludwig, M.; Aksenov, A.A.; Melnik, A.V.; Meusel, M.; Dorrestein, P.C.; Rousu, J.; Böcker, S. SIRIUS 4: A Rapid Tool for Turning Tandem Mass Spectra into Metabolite Structure Information. Nat. Methods 2019, 16, 299–302. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. PubChem. Available online: https://pubchem.ncbi.nlm.nih.gov/ (accessed on 30 May 2023).
  27. Rutz, A.; Sorokina, M.; Galgonek, J.; Mietchen, D.; Willighagen, E.; Gaudry, A.; Graham, J.G.; Stephan, R.; Page, R.; Vondrášek, J.; et al. The LOTUS Initiative for Open Knowledge Management in Natural Products Research. eLife 2022, 11, e70780. [Google Scholar] [CrossRef] [PubMed]
  28. ChemSpider. Search and Share Chemistry. Available online: http://www.chemspider.com/ (accessed on 26 June 2023).
  29. Wang, M.; Carver, J.J.; Phelan, V.V.; Sanchez, L.M.; Garg, N.; Peng, Y.; Nguyen, D.D.; Watrous, J.; Kapono, C.A.; Luzzatto-Knaan, T.; et al. Sharing and Community Curation of Mass Spectrometry Data with Global Natural Products Social Molecular Networking. Nat Biotechnol 2016, 34, 828–837. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Jiang, H.; Timmermann, B.N.; Gang, D.R. Use of Liquid Chromatography–Electrospray Ionization Tandem Mass Spectrometry to Identify Diarylheptanoids in Turmeric (Curcuma Longa L.) Rhizome. J. Chromatogr. A 2006, 1111, 21–31. [Google Scholar] [CrossRef]
  31. Li, W.; Wang, S.; Feng, J.; Xiao, Y.; Xue, X.; Zhang, H.; Wang, Y.; Liang, X. Structure Elucidation and NMR Assignments for Curcuminoids from the Rhizomes of Curcuma Longa. Magn. Reson. Chem. 2009, 47, 902–908. [Google Scholar] [CrossRef] [PubMed]
  32. Masuda, T.; Jitoe, A.; Isobe, J.; Nakatani, N.; Yonemori, S. Anti-Oxidative and Anti-Inflammatory Curcumin-Related Phenolics from Rhizomes of Curcuma Domestica. Phytochemistry 1993, 32, 1557–1560. [Google Scholar] [CrossRef]
  33. Park, S.-Y.; Kim, D.S.H.L. Discovery of Natural Products from Curcuma Longa That Protect Cells from Beta-Amyloid Insult:  A Drug Discovery Effort against Alzheimer’s Disease. J. Nat. Prod. 2002, 65, 1227–1231. [Google Scholar] [CrossRef]
  34. Nakayama, R.; Tamura, Y.; Yamanaka, H.; Kikuzaki, H.; Nakatani, N. Two Curcuminoid Pigments from Curcuma Domestica. Phytochemistry 1993, 33, 501–502. [Google Scholar] [CrossRef]
  35. Park, B.-S.; Kim, J.-G.; Kim, M.-R.; Lee, S.-E.; Takeoka, G.R.; Oh, K.-B.; Kim, J.-H. Curcuma Longa L. Constituents Inhibit Sortase A and Staphylococcus Aureus Cell Adhesion to Fibronectin. J. Agric. Food Chem. 2005, 53, 9005–9009. [Google Scholar] [CrossRef] [PubMed]
  36. Dosoky, N.S.; Setzer, W.N. Chemical Composition and Biological Activities of Essential Oils of Curcuma Species. Nutrients 2018, 10, 1196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Núñez, N.; Vidal-Casanella, O.; Sentellas, S.; Saurina, J.; Núñez, O. Characterization, Classification and Authentication of Turmeric and Curry Samples by Targeted LC-HRMS Polyphenolic and Curcuminoid Profiling and Chemometrics. Molecules 2020, 25, 2942. [Google Scholar] [CrossRef]
  38. Kuo, P.-C.; Cherng, C.-Y.; Jeng, J.-F.; Damu, A.G.; Teng, C.-M.; Lee, E.-J.; Wu, T.-S. Isolation of a Natural Antioxidant, Dehydrozingerone from Zingiber Officinale and Synthesis of Its Analogues for Recognition of Effective Antioxidant and Antityrosinase Agents. Arch. Pharm. Res. 2005, 28, 518–528. [Google Scholar] [CrossRef]
  39. Ohshiro, M.; Kuroyanagi, M.; Ueno, A. Structures of Sesquiterpenes from Curcuma Longa. Phytochemistry 1990, 29, 2201–2205. [Google Scholar] [CrossRef]
  40. Imai, S.; Morikiyo, M.; Furihata, K.; Hayakawa, Y.; Seto, H. Turmeronol A and Turmeronol B, New Inhibitors of Soybean Lipoxygenase. Agric. Biol. Chem. 1990, 54, 2367–2371. [Google Scholar] [CrossRef]
  41. Hong, C.H.; Kim, Y.; Lee, S.K. Sesquiterpenoids from the Rhizome OfCurcuma Zedoaria. Arch. Pharm. Res. 2001, 24, 424–426. [Google Scholar] [CrossRef]
  42. Kuroyanagi, M.; Ueno, A.; Koyama, K.; Natori, S. Structures of Sesquiterpenes of Curcuma Aromatica SALISB. II.: Studies on Minor Sesquiterpenes. Chem. Pharm. Bull. 1990, 38, 55–58. [Google Scholar] [CrossRef] [Green Version]
  43. Mohn, T.; Plitzko, I.; Hamburger, M. A Comprehensive Metabolite Profiling of Isatis Tinctoria Leaf Extracts. Phytochemistry 2009, 70, 924–934. [Google Scholar] [CrossRef] [Green Version]
  44. Su, B.-N.; Park, E.J.; Nikolic, D.; Vigo, J.S.; Graham, J.G.; Cabieses, F.; van Breemen, R.B.; Fong, H.H.S.; Farnsworth, N.R.; Pezzuto, J.M.; et al. Isolation and Characterization of Miscellaneous Secondary Metabolites of Deprea Subtriflora. J. Nat. Prod. 2003, 66, 1089–1093. [Google Scholar] [CrossRef] [PubMed]
  45. Quinn, R.A.; Nothias, L.-F.; Vining, O.; Meehan, M.; Esquenazi, E.; Dorrestein, P.C. Molecular Networking as a Drug Discovery, Drug Metabolism, and Precision Medicine Strategy. Trends Pharmacol. Sci. 2017, 38, 143–154. [Google Scholar] [CrossRef]
  46. Li, J.; Zhao, F.; Li, M.Z.; Chen, L.X.; Qiu, F. Diarylheptanoids from the Rhizomes of Curcuma Kwangsiensis. J. Nat. Prod. 2010, 73, 1667–1671. [Google Scholar] [CrossRef]
  47. Ganapathy, G.; Preethi, R.; Moses, J.A.; Anandharamakrishnan, C. Diarylheptanoids as Nutraceutical: A Review. Biocatal. Agric. Biotechnol. 2019, 19, 101109. [Google Scholar] [CrossRef] [PubMed]
  48. Chao, I.-C.; Wang, C.-M.; Li, S.-P.; Lin, L.-G.; Ye, W.-C.; Zhang, Q.-W. Simultaneous Quantification of Three Curcuminoids and Three Volatile Components of Curcuma Longa Using Pressurized Liquid Extraction and High-Performance Liquid Chromatography. Molecules 2018, 23, 1568. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Alberti, Á.; Riethmüller, E.; Béni, S. Characterization of Diarylheptanoids: An Emerging Class of Bioactive Natural Products. J. Pharm. Biomed. Anal. 2018, 147, 13–34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Kuroyanagi, M.; Shimomae, M.; Nagashima, Y.; Muto, N.; Okuda, T.; Kawahara, N.; Nakane, T.; Sano, T. New Diarylheptanoids from Alnus Japonica and Their Antioxidative Activity. Chem. Pharm. Bull. 2005, 53, 1519–1523. [Google Scholar] [CrossRef] [Green Version]
  51. Li, J.; Liao, C.-R.; Wei, J.-Q.; Chen, L.-X.; Zhao, F.; Qiu, F. Diarylheptanoids from Curcuma Kwangsiensis and Their Inhibitory Activity on Nitric Oxide Production in Lipopolysaccharide-Activated Macrophages. Bioorganic Med. Chem. Lett. 2011, 21, 5363–5369. [Google Scholar] [CrossRef]
  52. Riethmüller, E.; Tóth, G.; Alberti, Á.; Végh, K.; Burlini, I.; Könczöl, Á.; Balogh, G.T.; Kéry, Á. First Characterisation of Flavonoid- and Diarylheptanoid-Type Antioxidant Phenolics in Corylus Maxima by HPLC-DAD-ESI-MS. J. Pharm. Biomed. Anal. 2015, 107, 159–167. [Google Scholar] [CrossRef]
  53. Lee, C.S.; Ko, H.H.; Seo, S.J.; Choi, Y.W.; Lee, M.W.; Myung, S.C.; Bang, H. Diarylheptanoid Hirsutenone Prevents Tumor Necrosis Factor-α-Stimulated Production of Inflammatory Mediators in Human Keratinocytes through NF-ΚB Inhibition. Int. Immunopharmacol. 2009, 9, 1097–1104. [Google Scholar] [CrossRef]
  54. Woo, K.W.; Moon, E.; Kwon, O.W.; Lee, S.O.; Kim, S.Y.; Choi, S.Z.; Son, M.W.; Lee, K.R. Anti-Neuroinflammatory Diarylheptanoids from the Rhizomes of Dioscorea Nipponica. Bioorganic Med. Chem. Lett. 2013, 23, 3806–3809. [Google Scholar] [CrossRef] [PubMed]
  55. Nephali, L.; Steenkamp, P.; Burgess, K.; Huyser, J.; Brand, M.; van der Hooft, J.J.J.; Tugizimana, F. Mass Spectral Molecular Networking to Profile the Metabolome of Biostimulant Bacillus Strains. Front. Plant Sci. 2022, 13, 920963. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Base peak chromatogram for ethyl acetate fraction in (+)-ESI mode, portraying annotated diarylheptanoids from the C. longa rhizomes.
Figure 1. Base peak chromatogram for ethyl acetate fraction in (+)-ESI mode, portraying annotated diarylheptanoids from the C. longa rhizomes.
Metabolites 13 00898 g001
Figure 2. Base peak chromatogram for ethyl acetate fraction in (–)-ESI mode, portraying annotated metabolites from the C. longa rhizomes.
Figure 2. Base peak chromatogram for ethyl acetate fraction in (–)-ESI mode, portraying annotated metabolites from the C. longa rhizomes.
Metabolites 13 00898 g002
Figure 3. Chemical structures of annotated metabolites in the C. longa L. rhizomes using LC-HR-ESI-MS/MS.
Figure 3. Chemical structures of annotated metabolites in the C. longa L. rhizomes using LC-HR-ESI-MS/MS.
Metabolites 13 00898 g003aMetabolites 13 00898 g003b
Figure 4. Observed (–ESI mode) collision-induced dissociation tandem mass spectrometry (CID-MS/MS) of the precursor deprotonated molecules at m/z 345.1340 (a), m/z 329.1394 (b), and m/z at 325.1078 (c).
Figure 4. Observed (–ESI mode) collision-induced dissociation tandem mass spectrometry (CID-MS/MS) of the precursor deprotonated molecules at m/z 345.1340 (a), m/z 329.1394 (b), and m/z at 325.1078 (c).
Metabolites 13 00898 g004
Figure 5. Observed (+ESI mode) collision-induced dissociation tandem mass spectrometry (CID-MS/MS) of the precursor protonated molecules at m/z 333.1705 (a), m/z 329.1392 (b), and m/z 327.1233 (c).
Figure 5. Observed (+ESI mode) collision-induced dissociation tandem mass spectrometry (CID-MS/MS) of the precursor protonated molecules at m/z 333.1705 (a), m/z 329.1392 (b), and m/z 327.1233 (c).
Metabolites 13 00898 g005
Figure 6. Molecular networking (Cluster AC) and identification of secondary metabolites from the C. longa L. rhizome extracts.
Figure 6. Molecular networking (Cluster AC) and identification of secondary metabolites from the C. longa L. rhizome extracts.
Metabolites 13 00898 g006
Table 1. Secondary metabolites annotated in positive and/or negative modes in ethyl acetate and hexane fractions of C. longa L. rhizomes.
Table 1. Secondary metabolites annotated in positive and/or negative modes in ethyl acetate and hexane fractions of C. longa L. rhizomes.
C.N.RT (Min)Detected Ion/AdductObserved m/zCalculated m/zError
(ppm)
RDBEMS2 ion (m/z)Mol. FormulaPredicted MetabolitesCSI:FingerID Score (%)Fr.
114.7[M−H]345.1340345.13440.99345, 209, 191, 165, 161, 135 (bp)C19H22O61,7-bis(3,4-dihydroxyphenyl)-5-hydroxyheptan-3-one81.08EA
215.3[M+H]+165.0551165.0546−2.86147, 119 (bp), 91, 65C9H8O34-hydroxycinnamic acid97.08EA
15.3[M−H]163.0401163.0401−0.16119 (bp), 93C9H8O34-hydroxycinnamic acid97.79EA
315.7[M+H]+195.0657195.0652−2.76177, 163, 149, 145 (bp), 134, 117, 106, 89C10H10O4Ferulic acid98.90EA
15.7[M−H]193.0508193.0506−1.06178, 134 (bp)C10H10O4Ferulic acid97.79EA
415.8[M+H]+333.1705333.1697−2.68203, 187, 163, 149, 133, 123, 107 (bp)C19H24O53,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)heptane97.35EA
15.8[M−H]331.1552331.1551−0.28331 (bp)C19H24O53,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)heptane93.65EA
516.4[M−H]329.1394329.13940.09283, 161, 135 (bp)C19H22O55-hydroxy-1-(4-hydroxyphenyl)-7-(3,4-dihydroxyphenyl)-3-heptanone82.20EA
617.1[M+H]+329.1392329.1384−2.610215, 179, 163 (bp), 145, 133, 107C19H20O51,7-bis(3,4-dihydroxyphenyl)hept-4-en-3-one88.14EA
17.1[M−H]327.1239327.1238−0.410177 (bp), 135C19H20O51,7-bis(3,4-dihydroxyphenyl)hept-4-en-3-one71.43EA
717.4[M−H]315.1602315.16020.08193, 163, 149 (bp), 147, 121, 112, 106, 93C19H24O4(3R,5R)-1,7-bis(4-hydroxyphenyl)-3,5-heptanediol95.42EA
817.7[M−H]325.1082325.10810.011307, 239, 213, 187, 161, 145 (bp), 135, 119, 93, 68C19H18O53-hydroxy-1,7-bis(4-hydroxyphenyl)-6-heptene-1,5-dione73.39EA
918.3[M+H]+325.1080325.1071−3.012279, 241, 223, 189, 163, 147 (bp), 131, 107C19H16O51-(4-hydroxyphenyl)-7-(3,4-dihydroxyphenyl)-1,6-heptadiene-3,5-dione61.61EA
1018.6[M+H]+327.1233327.1227−1.911257, 205, 189, 163, 149, 131, 123 (bp)C19H18O51,7-bis(3,4-dihydroxyphenyl)hepta-4,6-dien-3-one80.73EA
18.7[M−H]325.1081325.10810.011325, 203 (bp), 135C19H18O51,7-bis(3,4-dihydroxyphenyl)hepta-4,6-dien-3-one80.77EA
1118.7[M+H]+313.1441313.1441−2.210235, 193, 163, 147 (bp), 133, 119, 107C19H20O45-hydroxy-1,7-bis(4-hydroxyphenyl)hept-1-en-3-one63.93EA
18.8[M−H]311.1288311.12890.310311, 190, 174, 161 (bp), 149, 119C19H20O45-hydroxy-1,7-bis(4-hydroxyphenyl)hept-1-en-3-one65.42EA
1220.6[M+H]+267.1021267.1016−2.111249, 231, 199, 173, 147 (bp), 119, 107, 91C17H14O31,5-bis(4-hydroxyphenyl)-1,4-pentadien-3-one
78.98EA
1322.2[M+H]+293.1178293.1172−2.112225, 199, 181, 147, 131, 121, 107 (bp)C19H16O31,7-bis(4-hydroxyphenyl)-1,4,6-heptatrien-3-one69.23EA
22.2[M−H]291.1029291.1027−0.512291, 249, 223, 211, 197, 185, 171(bp), 145, 119, 93C19H16O31,7-bis(4-hydroxyphenyl)-1,4,6-heptatrien-3-one66.48EA
1422.4[M−H]323.0928323.0925−1.212159, 143, 135 (bp), 119C19H16O51-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)hepta-1,6-diene-3,5-dione59.09EA
1522.8[M+H]+355.1185355.1176−2.512353, 305, 271 (bp), 253, 239, 211, 177, 163, 145, 119, 68C20H18O6Monodemethylcurcumin75.54EA
22.8[M−H]353.1034353.1031−1.112307, 217, 187, 173, 158, 145, 135 (bp), 119C20H18O6Monodemethylcurcumin75.56EA
1623.9[M+H]+309.1127309.1121−1.712225, 205, 189, 147 (bp), 131, 119, 107C19H16O4Bisdemethoxycurcumin93.42EA
24.2[M−H]307.0979307.0976−0.712187, 143, 119 (bp)C19H16O4Bisdemethoxycurcumin96.13EA
1724.2[M+H]+311.1280311.1278−0.811225, 205, 189, 147 (bp), 131, 119, 107C19H18O41,7-bis(4-hydroxyphenyl)hept-1-ene-3,5-dione75.56EA
24.2[M−H]309.1132309.11320.211189, 187, 161, 145, 143, 119 (bp)C19H18O41,7-bis(4-hydroxyphenyl)hept-1-ene-3,5-dione80.43EA
1824.8[M+H]+339.1229339.1227−0.612289, 255, 195, 177 (bp), 147, 131, 119, 107C20H18O5Demethoxycurcumin99.50EA
25.0[M−H]337.1085337.1081−1.012217, 202, 187, 173, 158, 149, 119 (bp)C20H18O5Demethoxycurcumin98.07EA
1925.3[M+H]+369.1337369.1333−1.212285, 268, 225, 177 (bp), 161, 145, 137, 117C21H20O6Curcumin95.00EA
25.3[M−H]367.1190367.1187−0.712217, 202, 173, 158, 149 (bp), 134, 119C21H20O6Curcumin100EA
2027.0[M+H]+543.2747543.2741−1.216349, 309, 229, 189, 147 (bp), 119C34H38O6Didemethoxybisabolocurcumin ether63.29EA
2130.1[M+Na]+595.2675---360, 257 (bp), 239C35H40O7Demethoxybisabolocurcumin ether-EA
2230.7[M+Na]+625.2786-
--301, 294, 257 (bp), 239C36H42O8Bisabolocurcumin Ether
-EA
2316.0[M+H]+153.0547153.0546−0.75125,
111,
93 (bp), 65
C8H8O3Vanillin98.80H
16.0[M−H]151.0339151.04011.15136 (bp), 108, 92C8H8O3Vanillin92.81H
2418.2[M−H]191.0712191.07140.76176 (bp), 148, 133C11H12O3Dehydrozingerone98.29H
2524.5[M+H]+235.1688235.16931.85161, 135, 121, 119 (bp), 107, 105, 93, 83C15H22O2Dehydrocurdione65.84H
2626.4[M+H]+235.1697235.1693−2.05231, 213, 198, 175, 158, 147, 133 (bp), 107, 97C15H22O2(6s)-6-methyl-5-(3-oxobutyl)-2-(propan-2-ylidene)cyclohept-4-en-1-one63.92H
2728.0[M−H]293.2125293.2122−1.04293, 275 (bp), 235, 231, 223, 183, 171, 121C18H30O39-hydroxy-10,12,15-octadecatrienoic acid98.76H
2828.5[M+H]+233.1534233.15360.76145, 135, 131, 120, 119 (bp), 117, 91, 83C15H20O2Turmeronol A49.50H
2929.6[M−H]295.2282295.2279−1.33295, 277 (bp), 195, 183, 171C18H32O3Coriolic acid95.76H
3031.2[M+H]+217.1588217.1587−0.36120, 119 (bp), 117, 109, 103, 91, 83, 67C15H20OAr-Tumerone93.66H
Note: bp = base peak, C.N. = compound number, Fr. = fractions, EA = ethyl acetate, H = hexane.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Budhathoki, R.; Timilsina, A.P.; Regmi, B.P.; Sharma, K.R.; Aryal, N.; Parajuli, N. Metabolome Mining of Curcuma longa L. Using HPLC-MS/MS and Molecular Networking. Metabolites 2023, 13, 898. https://doi.org/10.3390/metabo13080898

AMA Style

Budhathoki R, Timilsina AP, Regmi BP, Sharma KR, Aryal N, Parajuli N. Metabolome Mining of Curcuma longa L. Using HPLC-MS/MS and Molecular Networking. Metabolites. 2023; 13(8):898. https://doi.org/10.3390/metabo13080898

Chicago/Turabian Style

Budhathoki, Rabin, Arjun Prasad Timilsina, Bishnu P. Regmi, Khaga Raj Sharma, Niraj Aryal, and Niranjan Parajuli. 2023. "Metabolome Mining of Curcuma longa L. Using HPLC-MS/MS and Molecular Networking" Metabolites 13, no. 8: 898. https://doi.org/10.3390/metabo13080898

APA Style

Budhathoki, R., Timilsina, A. P., Regmi, B. P., Sharma, K. R., Aryal, N., & Parajuli, N. (2023). Metabolome Mining of Curcuma longa L. Using HPLC-MS/MS and Molecular Networking. Metabolites, 13(8), 898. https://doi.org/10.3390/metabo13080898

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop