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Article

The Analytical Strategy of “Ion Induction and Deduction Based on Net-Hubs” for the Comprehensive Characterization of Naringenin Metabolites In Vivo and In Vitro Using a UHPLC-Q-Exactive Orbitrap Mass Spectrometer

1
College of Pharmacy, Binzhou Medical University, Yantai 264003, China
2
College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250300, China
3
Shandong Provincial Institute for Food and Drug Control, Jinan 250101, China
*
Authors to whom correspondence should be addressed.
Molecules 2022, 27(21), 7282; https://doi.org/10.3390/molecules27217282
Submission received: 8 October 2022 / Revised: 21 October 2022 / Accepted: 24 October 2022 / Published: 26 October 2022

Abstract

:
Naringenin (5,7,4′-trihydroxyflavanone), belonging to the flavanone subclass, is associated with beneficial effects such as anti-oxidation, anticancer, anti-inflammatory, and anti-diabetic effects. Drug metabolism plays an essential role in drug discovery and clinical safety. However, due to the interference of numerous endogenous substances in metabolic samples, the identification and efficient characterization of drug metabolites are difficult. Here, ultra-high-performance liquid chromatography (UHPLC) coupled with high-resolution mass spectrometry was used to obtain mass spectral information of plasma (processed by three methods), urine, feces, liver tissue, and liver microsome samples. Moreover, a novel analytical strategy named “ion induction and deduction” was proposed to systematically screen and identify naringenin metabolites in vivo and in vitro. The analysis strategy was accomplished by the establishment of multiple “net-hubs” and the induction and deduction of fragmentation behavior. Finally, 78 naringenin metabolites were detected and identified from samples of rat plasma, urine, feces, liver tissue, and liver microsomes, of which 67 were detected in vivo and 13 were detected in vitro. Naringenin primarily underwent glucuronidation, sulfation, oxidation, methylation, ring fission, and conversion into phenolic acid and their composite reactions. The current study provides significant help in extracting target information from complex samples and sets the foundation for other pharmacology and toxicology research.

1. Introduction

Flavonoids, consisting of two aromatic rings with six carbon atoms interconnected by a heterocycle with three carbon atoms (rings A, B, and C), are essential components in the human diet, even though they are not considered nutrients [1]. With the chemical name of 5,7,4′-trihydroxyflavanone, naringenin is widespread in some edible fruits and vegetables, such as Citrus species, tomatoes, and figs. More importantly, evidence from epidemiological, clinical, and preclinical studies has demonstrated that naringenin is responsible for various pharmacological activities such as anti-oxidation [2,3], anticancer [4,5,6], anti-inflammatory [7,8], and anti-diabetic [9] effects, cardiovascular protection [10,11], the regulation of immunity [12], the protection of the nervous system [13], and the prevention of diet-induced weight gain [14]. Naringenin may exert therapeutic effects against COVID-19 by inhibiting the main protease of COVID-19, 3CLpro, and by reducing the activity of ACE2 receptors [15].
The drug disposition in the body involves absorption, distribution, metabolism, and excretion (ADME). Drug metabolism is a complex biotransformation process in which drugs are structurally modified to different molecules by diverse enzyme families, such as CYP450s, dehydrogenases, and flavin-containing monooxygenases [16,17]. The primary purpose of metabolism is to clear endogenous and/or exogenous molecules from the body by converting lipophilic chemicals into hydrophilic products to facilitate elimination. The products of metabolism are known as metabolites, either pharmacologically active or inactive. Revealing the metabolic properties of drugs could contribute to deeper understanding of the effectiveness of drugs, changing the in vivo half-life and risk-benefit ratio of a drug, and playing a significant role in drug design. In general, metabolic reactions are classified into ‘phase I’ and ‘phase II’ metabolic reactions. As for the former, drugs expose or introduce groups such as -OH, -COOH, and -NH2 through oxidation, reduction, and hydrolysis reactions. During ‘phase II’ drug metabolism, which mainly includes sulfated, glucuronidated, and methylated biotransformation reactions, the drugs usually conjugate with a hydrophilic endogenous molecule to facilitate the elimination of drugs from the body smoothly. The liver is the primary organ responsible for drug metabolic processes, while liver microsomes, subcellular fractions derived from the endoplasmic reticulum of hepatic cells, are the dominant liver models in vitro and the default tools for drug discovery and development [18,19]. Some preliminary studies have been carried out on the metabolic process of naringenin and interrelated components. The pharmacokinetic parameters of naringin and naringenin were calculated by single-dose studies and multiple-dose studies, and 12 metabolites detected in liver microsomes were also analyzed [20]. Naringenin chalcone metabolites in rat plasma and urine were identified by LC–MS and NMR [21]. Moreover, naringenin-7-O-glucuronide and narigenin-4′-O-glucuronide, phase II metabolites of naringenin, were reported to perturb macrophage gene expression [22]. However, information obtained on the metabolic process of naringenin in the body is insufficient, suggesting that a comprehensive analysis of the transformation mechanism of naringenin is still needed.
The detection instrumentation is the critical factor in determining the results of metabolite identification. Liquid chromatography coupled with mass spectrometry has played a fundamental role as the predominant platform for metabolism studies ever since the introduction of atmospheric ionization techniques [23]. Subsequent information filtering and structural identification are the most significant procedures in the process of metabolite identification, playing a pivotal role in drug discovery and development [24]. However, partly due to the significant excess of endogenous material, detecting and characterizing drug metabolites in the complex biological matrices are difficult.
In this study, a UHPLC-Q-Exactive Orbitrap mass spectrometer, characterized by a high resolution, high-quality accuracy, wide quality range, and wide dynamic range, was adopted to collect naringenin metabolite data from rat plasma, urine, feces, liver tissue, and liver microsomes. It is worth mentioning that three methods (solid phase extraction (SPE), methanol precipitation, and acetonitrile precipitation) were used to process the plasma samples to obtain more comprehensive metabolite information. Moreover, a novel analytical strategy of “ion induction and deduction” based on the establishment of multiple “net-hubs”, an improvement of the previous analysis strategy [25], was proposed to improve the efficiency of metabolite identification. In the analytical strategy, the reaction pathways of metabolism were divided step by step due to the differences in naringenin biochemical modification in the metabolic process. Two major types of reactions (“reaction I“ and “reaction II“) were first proposed, and then a series of representative “net-hubs” were also established, which further refined the possible metabolic pathway and identified the attribution of fragment ions. Based on this analytical strategy, we distinguished a series of diagnostic product ion (DPI) groups, which were used to screen possible naringenin metabolites by rapidly matching the cleavage behavior of compounds in the samples. Ultimately, this facilitated the efficient capture of target metabolites from numerous endogenous metabolites. Furthermore, this strategy could also be deduced for metabolite identification of other similar compounds to increase work efficiency.

2. Results

In total, 78 metabolites (naringenin included) were detected and characterized, i.e., 31 in plasma, 43 in urine, 11 in feces, 8 in liver tissue, and 13 in liver microsomes. The detected metabolites are listed in Table 1.

2.1. The Establishment of an Analytical Strategy

Regarding the complexity of metabolites and the interference from endogenous material, establishing an accurate and efficient data analytical strategy to identify and characterize drug metabolites scientifically in complex organisms is of great importance. Therefore, an analytical strategy of “ion induction and deduction” based on metabolic “net-hubs” was proposed to systematically screen and identify naringenin metabolites in this work (Figure 1). In the analytical strategy, we comprehensively analyzed and mined the data in three steps. The induction of “DPI group I” of naringenin based on the mass fragmentation behaviors of naringenin in standard samples and metabolic samples was the first step. The second step was searching for the metabolites of naringenin based on the original nucleus of naringenin with the “DPI group I”, setting up related “net-hubs”, and inducing the “DPI group II”. When naringenin was metabolized by “reaction I” (phase II drug metabolism reactions and some phase I drug metabolism reactions such as a part of oxidation reaction), the mass spectral information of such metabolites matched well with that of naringenin. In contrast, the mass spectral information of metabolites produced by “reaction II” (other metabolic reactions, mainly including reduction, hydrolysis reactions, and so on) was not better matched with that of naringenin because their structures of naringenin were destroyed. Therefore, the third step was to construct “net-hubs” of such metabolic reactions and induce the “DPI group III” according to the occurrence characteristics of these reactions and related literature. Finally, all DPI groups were deduced, and various metabolites were screened by comparison with the DPI groups.

2.2. The Induction of “DPI Group I”

Naringenin belongs to the class of dihydro flavonoids, so Retro-Diels–Alder (RDA) cleavage and the neutral loss of H2O, CO, and CO2 occur easily in the process of MS fragmentation [26]. Other diagnostic product ions were generated due to the cleavage at different positions of the C-ring. In the ESI-MS/MS spectrum, naringenin gave rise to the [M-H] ion at m/z 271.06120 and generated the [M+H]+ ion at m/z 273.07575. To guide the subsequent rapid analysis, we induced and summarized six possible cleavage pathways of naringenin (Figure 2) by analyzing the cleavage behavior of the naringenin standard and combining relevant references [27,28]. In negative ion mode, through cleavage pathway A, product ions with high abundance at m/z 151 and m/z 119 were observed, which were associated with RDA cleavage. Similarly, according to the other cleavage pathways, product ions at m/z 145, m/z 125, m/z 177, m/z 93, m/z 165, m/z 107, and m/z 161 also appeared. Meanwhile, in positive ion mode, naringenin yielded a series of corresponding fragment ions such as m/z 153, m/z 121, m/z 179, m/z 96, m/z 147, m/z 163, and m/z 111 according to the cleavage pathways A, B, C, and E. The product ion at m/z 231 was also detected due to the cleavage pathway F in positive ion mode. In addition, the neutral loss of H2O (18 Da) and CO (28 Da) from parent ions also led to the generation of product ions at m/z 227 [M-H-CO2]and m/z 255 [M+H-H2O]+. Finally, “DPI group I” was induced to be m/z 151, m/z 119, m/z 145, m/z 125, m/z 177, m/z 93, m/z 165, m/z 107, and m/z 161 in negative ion mode and m/z 153, m/z 121, m/z 179, m/z 96, m/z 147, m/z 163, and m/z 111 in positive ion mode.

2.3. The Induction of “DPI Group II” and the Establishment of Related “Net-Hubs”

Four main “net-hubs” were established according to the general laws of metabolic reactions. They were mono-oxidized, glucuronidated, sulfated, and methylated metabolites of naringenin. We found that these metabolites generated some other diagnostic production ions depending on the bound groups. For example, glucuronidated metabolites of naringenin might yield fragment ions at m/z 327 (m/z 151 + GluA), m/z 353 (m/z 177 + GluA), m/z 301 (m/z 125 + GluA), m/z 341 (m/z 165 + GluA), m/z 295 (m/z 119 + GluA), m/z 269 (m/z 93 + GluA), m/z 321 (m/z 145 + GluA), and m/z 337 (m/z 161 + GluA) in negative ion mode, or m/z 329 (m/z 153 + GluA), m/z 355 (m/z 179 + GluA), m/z 287 (m/z 111 + GluA), m/z 297 (m/z 121 + GluA), m/z 271 (m/z 95 + GluA), m/z 323 (m/z 147 + GluA), and m/z 339 (m/z 163 + GluA) in positive ion mode. Similarly, metabolites produced by other such metabolic reactions had similar fragmentation behavior. Therefore, “DPI group II” was induced to be m/z 151 + x (m/z 153 + x), m/z 177 + x (m/z 179 + x), m/z 125 + x (m/z 127 + x), m/z 119 + x (m/z 121 + x), m/z 145 + x (m/z 147 + x), m/z 93 + x (m/z 95 + x), m/z 161 + x (m/z 163 + x), and m/z 111 + x (x = molecular weight of substituent groups). If multiple binding reactions occurred, these fragment ions could be further converted to m/z 151 + nx (m/z 153 + nx), m/z 177 + nx (m/z 179 + nx), m/z 125 + nx (m/z 127 + nx), m/z 119 + nx (m/z 121 + nx), m/z 145 + nx (m/z 147 + nx), m/z 93 + nx (m/z 95 + nx), m/z 161 + nx (m/z 163 + nx), and m/z 111 + nx (x = the molecular weight of substituent groups, which can be different; n = 2,3,4 …). Combined with the ClogP value (compounds with a higher ClogP value show longer retention times in the C18 separation system), metabolic binding sites could be initially identified through these DPIs.

2.4. The Induction of “DPI Group III” and the Establishment of Other “Net-Hubs”

“Reaction II” may change the original nucleus structure of naringenin. By combining the literature, we found that apigenin and naringenin chalcone were important metabolites of naringenin and were set as the “net hub”. Based on the occurrence characteristics of these reactions and the relevant references, “DPI group III” was determined as m/z 151 ± x (m/z 153 ± x), m/z 177 ± x (m/z 179 ± x), m/z 125 ± x (m/z 127 ± x), m/z 119 ± x (m/z 121 ± x), m/z 145 ± x (m/z 147 ± x), m/z 93 ± x (m/z 95 ± x), m/z 161 ± x (m/z 163 ± x), and m/z 111 ± x (x = molecular mass difference due to the structural change of naringenin). These metabolites were further subject to other metabolic reactions; thus, their fragment ions could be further changed.
Furthermore, research has shown that 70% of ingested flavanones enter the colon where they are degraded by microbiota, principally producing small phenolic acid metabolites, and then they are absorbed into the circulatory system [29,30,31]. Thus, phenolic acid might be another meaningful metabolite of naringenin; thus, phenolic acid metabolites were also “net-hubs”. Further, they were identified individually by the existence of carboxyl groups, benzene rings, and so on. The other metabolites were directly classified in the metabolite part of naringenin due to their small amount, so no “net-hubs” could be established.

2.5. The Identification of Naringenin Metabolites

2.5.1. The Identification of Naringenin Metabolites Produced by “Reaction I” (M1M40)

Through the screening and matching the mass spectrometry information of potential metabolites in various biosamples using “DPI group I” and “DPI group II”, 40 metabolites of naringenin were unambiguously or tentatively identified.
M1, M2, M3, and M4 showed their theoretical deprotonated molecular ions at m/z 624.13210 (C27H28O17, mass error within ± 5 ppm), which was 352 Da (2 GluA) higher than that of naringenin. Thus, they might be deduced as the diglucuronidated metabolites of naringenin. In their ESI-MS/MS spectra, fragment ions belonging to “DPI group II” at m/z 447 [M-H-GluA], m/z 449 [M+H-GluA]+, m/z 271 [M-H-2GluA], m/z 273 [M+H-2GluA]+, and m/z 175 [GluA-H] provided evidence for the identification of the glucuronic acid groups. Then, the product ions at m/z 151, m/z 119, and m/z 147 also further confirmed that their original nucleus was naringenin. Based on these findings, M1, M2, M3, and M4 were preliminarily identified as the diglucuronidated metabolites of naringenin. In addition, the fragment ions at m/z 341 (m/z 165+ GluA) in negative ion mode and m/z 505 (m/z 153+ 2GluA) in positive ion mode were all observed in the ESI-MS/MS spectrum of M4, meaning that diglucuronidation was much more likely to occur on its A-ring. Taking M4 as an example, its possible cleavage pathway is shown in Figure 3. Other metabolites were identified by similar methods, and their possible cleavage pathways are briefly described below.
M5, M6, M7, and M8 generated a characteristic product ion at m/z 287 by the loss of GluA from the deprotonated [M-H] ion at m/z 463. Due to RDA cleavage, the fragment ions belonging to “DPI group I” at m/z 151 and m/z 119 were also observed, indicating the presence of the original nucleus of naringenin. Simultaneously, the fragment ion at m/z 287 suggested that they also underwent an oxidation reaction based on naringenin. Therefore, M5, M6, M7, and M8 were all deduced as the oxidation and glucuronidated metabolites of naringenin. Furthermore, the glucosylated reaction might occur on their B-ring, while the oxidation reaction might occur on the A-ring according to the fragment ions belonging to “DPI group II” at m/z 337 (m/z 161+ GluA), m/z 193 (m/z 177+16 Da), m/z 167 (m/z 151+16 Da), and m/z 141 (m/z 125+16 Da).
M9, M10, and M11 were 176 Da (GluA) larger than naringenin. In positive ion mode, the RDA fragmentation of the original nucleus produced fragment ions belonging to “DPI group I” such as m/z 153 and m/z 147. A train of fragment ions such as m/z 255 [M+H-GluA-H2O]+ and m/z 431 [M+H-H2O]+ also appeared in their ESI-MS/MS data. Correspondingly, M10 also produced fragment ions similar to naringenin in negative ion mode. Therefore, M9, M10, and M11 were all presumed to be glucuronidated products of naringenin.
The product ions belonging to “DPI group II” of M12, M13, and M14 at m/z 271 [M-H-SO3], m/z 273 [M+H-SO3]+, m/z 207 [M-H-SO3-CO-2H2O], m/z 227 [M+H-SO3-CO-H2O]+, m/z 317 [M+H-2H2O]+, and m/z 335 [M+H-H2O]+ and fragment ions belonging to “DPI group I” at m/z 151, m/z 119, and m/z 177 demonstrated that M12, M13, and M14 were sulfated metabolites of naringenin. Using ChemDraw to calculate their ClogP values, we speculated that the sulfated reactions of M12, M13, and M14 occurred at C-5, C-4′, and C-7 position, respectively.
Five isomeric metabolites, M15, M16, M17, M18, and M19, were 16 Da larger than naringenin, producing fragment ions similar to those of naringenin. Hence, M15, M16, M17, M18, and M19 were considered to be mono-oxidation metabolites of naringenin. Furthermore, the oxidation of M16 and M19 was presumed to occur on their A-rings due to the fragment ions belonging to “DPI group II” at m/z 167 (m/z 151+16 Da), m/z 193 (m/z 177+16 Da), and so on. Likewise, the oxidation of M15, M17, and M18 was inferred to occur on their B-rings according to the fragment ions at m/z 109 (m/z 93+16 Da), m/z 135 (m/z 119+16 Da), and so on.
M20 and M21, 14 Da larger than naringenin, yielded product ions belonging to “DPI group II” at m/z 241 [M-H-CO2], m/z 253 [M-H-CH3OH], and m/z 205 [M-H-CO2-H2O] and fragment ions belonging to “DPI group I” at m/z 177 and m/z 151. Therefore, according to the above information, M20 and M21 were both considered methylation metabolites of naringenin.
M22, M23, and M24 were 162 Da larger than the glucuronidated metabolites of naringenin. In their ESI-MS/MS spectra, the fragment ions belonging to “DPI group I” were observed. Then, a battery of fragment ions at m/z 433 [M-H-CO2-CO-H2O], m/z 591 [M-H-H2O], m/z 573 [M-H-2H2O], m/z 555 [M-H-3H2O], m/z 417 [M+H-GluA-H2O]+, and m/z 399 [M+H-GluA-2H2O]+ was generated by a series of neutral losses of H2O, CO2, CO, and GluA. All of the above-mentioned fragment ions indicated that M22, M23, and M24 were glucuronidated and glucosylated metabolites of naringenin. Furthermore, the discovery of product ions belonging to “DPI group II” at m/z 313 (m/z 151+Glc) and m/z 489 (m/z 151+Glc+ GluA) in negative ion mode and at m/z 315 (m/z 151+Glc) in positive ion mode suggested that the transformation reaction took place on the A-ring. Similarly, according to the relative molecular mass change, the fragment cleavage behavior, and the identification process, M12, M13, and M14 and the other five isomeric metabolites, M25, M26, M27, M28, and M29, were deduced to be sulfated and glucuronidated metabolites of naringenin. In addition, M30 and M31 were identified as the hydroxylated sulfated and glucuronidated metabolites of naringenin in the same way.
The fragment ions belonging to “DPI group I” of M32 and M33 at m/z 151, m/z 177, and m/z 271 in negative ion mode and at m/z 153, m/z 121, and m/z 179 in positive ion mode proved the existence of the nucleus of naringenin. In negative ion mode, the product ion at m/z 301 was attributed to the neutral loss of GluA. According to the difference in the relative molecular mass and molecular formula between M32, M33, and naringenin, M32 and M33 were presumed to be the hydroxylated glucuronidated and methylated metabolites of naringenin. The fragment ion at m/z 303 generated in positive ion mode also corroborated the inference. Therefore, M34 and M35 were believed to be the glucuronidated and methylated metabolites of naringenin. However, the distinction was that the glucuronidation in M34 and M35 might occur on their B-rings based on the fragment ions belonging to “DPI group II” at m/z 337 (m/z 161 + GluA), while the metabolic reaction of M34 and M35 could not be determined due to the limited information available.
M36,M37, M38, M39, and M40 all underwent sulfated reaction on the original nucleus of naringenin, and thus the fragment ions of [M-H-SO3] or [M+H-SO3]+ were detected in these metabolites. In their ESI-MS/MS spectra, the fragment ions belonging to “DPI group II” at m/z 433 [M-H-SO3] and m/z 271 [M-H-SO3-Glc] were clearly detected. Hence, combined with the fragment ions belonging to “DPI group I” and ions at m/z 227 [M-H-SO3-Glc-CO2], M36, M37, and M38 were interpreted as the sulfated and glucosylated metabolites of naringenin. Following the above reasoning process, M39 and M40 were characterized as the disulfated metabolites of naringenin.

2.5.2. The Identification of Naringenin Metabolites Produced by “Reaction II” (N1N24)

Through the screening and matching of the mass spectrometry information of samples using fragment ions belonging to “DPI group III”, 24 naringenin metabolites were determined.
N2, N3, and N4 had the same theoretical [M-H] ions at m/z 269.04550 and [M+H]+ ions at m/z 271.06005, which were 2 Da smaller than naringenin. The product ions at m/z 153, m/z 147, and m/z 119 in positive ion mode and at m/z 151, m/z 107, m/z 93, and m/z 117 in negative ion mode were observed. Thus, N2, N3, and N4 were deduced as hydroxylated and dehydrated products. Moreover, N4 might be further deduced as apigenin [27]. The possible cleavage pathway of N4 is shown in Figure 4. The possible cleavage pathways of other metabolites are also briefly described below.
The possible molecular formula of N1 was C15H13O5 with mass errors of −4.828 ppm. The product ions belonging to “DPI group III” at m/z 179 [M-H-C6H5O] and m/z 125 [M-H-C9H7O2] were caused by the breakage of the carbon chain between the A-ring and B-ring. At the same time, the fragment ion at m/z 227 due to the neutral loss of CO and H2O was also detected. Thus, N1 was speculated to be phloretin combined with its fragmentation behavior and related literature [27]. N5 was 14 Da smaller than naringenin. In positive ion mode, the product ions belonging to “DPI group III” at m/z 149 [M+H-C6H6O2]+, m/z 121 [M+H-C7H6O3]+, and m/z 165 [M+H-C6H6O]+ could be attributed to the breakage of the carbon chain between the A-ring and B-ring. Thus, N5 was considered to be O-desmethylangolensin or its isomers, one kind of ring-opening naringenin metabolites.
N6 was preliminarily considered as the diglucuronidated metabolite of apigenin. Fragment ions belonging to “DPI group III” such as m/z 447 [M+H-GluA]+, m/z 271 [M+H-2GluA]+, and m/z 429 [M+H-GluA-H2O]+ could provide evidence for the mentioned inference. Likewise, N15, N16, and N17 were identified as the glucuronidated metabolites of apigenin because of the occurrence of the fragment ions at m/z 269 [M-H-GluA], and m/z 271 [M+H-GluA]+. Simultaneously, the glucuronidated reaction of N15 and N16 might occur on their A-rings according to the fragment ions belonging to “DPI group III” at m/z 327 (m/z 151+176 Da) and m/z 311 (m/z 135+176 Da) in negative ion mode or m/z 329 (m/z 153+176 Da) and m/z 313 (m/z 137+176 Da) in positive ion mode. In addition, according to their ClogP values, it could be inferred that the glucuronidated reaction of N15 occurred at the C5 position. Thus, the glucuronidated reaction of N16 occurred at the C7 position, while that of N17 was occurred at the C4′ position.
N7 generated fragment ions at m/z 124, m/z 149, and m/z 93 by the breakage of the carbon chain between the A-ring and B-ring and was 26 Da smaller than apigenin. Meanwhile, it also yielded ions at m/z 225 by the neutral loss of H2O (18 Da). Therefore, N7 was tentatively characterized as the decarbonylation metabolite of apigenin.
N8, N9, N10, and N11 were 162 Da larger than apigenin, possessing a similar fragmentation behavior and thus were all preliminarily deduced to be glucosylated metabolites of apigenin, which may be genistin or its isomers. Fragment ions at m/z 163 and m/z 95 further confirmed the possibility.
The fragment ions of N12 belonging to “DPI group III” at m/z 285 [M-H-GluA] and m/z 241[M-H-GluA-CO2] in negative ion mode and at m/z 287 [M+H-GluA]+ and m/z 269 [M+H-GluA-O]+ in positive ion mode were observed in the ESI-MS/MS spectra, indicating that N12 might be the hydroxylated and glucuronidated metabolite of apigenin. Consistent with the above identification method, N13 and N14 were extrapolated as the hydroxylated and methylated metabolites of apigenin.
With the retention time of 11.42 min, N18, 14 Da larger than apigenin, yielded fragment ions belonging to “DPI group III” at m/z 133 [M+H-C7H4O4]+ and m/z 177 [M+H-C7H8O]+ in the ESI-MS/MS spectrum. Thus, N18 was presumed to be the methylated metabolite of apigenin, and the transformation reaction might occur at the C4′ position.
N19 and N20 produced the theoretical [M-H] ion at m/z 285.04100 and the theoretical [M+H]+ ion at m/z 287.05555, 14 Da larger than apigenin. Therefore, N19 and N20 were deduced as mono-oxidation metabolites of apigenin due to product ions belonging to “DPI group III” at m/z 151 and m/z 107 in negative ion mode and at m/z 153 in positive ion mode.
N21 was 176 Da larger than O-desmethylangolensin. In the ESI-MS/MS spectrum, the fragment ions at m/z 259 [M-H-GluA] provided evidence for identifying a glucuronide group and suggested the occurrence of the ring-opening reaction. The appearance of fragment ions belonging to “DPI group III” at m/z 149, m/z 121, and m/z 95 was due to the cleavage between the A-ring and B-ring. Moreover, ions at m/z 241 [M+H-H2O]+ and m/z 213 [M+H-CO-H2O]+ were also detected. Thus, N21 was deduced as a glucuronidated metabolite of O-desmethylangolensin.
N22 gave rise to the [M-H] ion at m/z 271.06146, and N24 and N25 gave rise to the [M+H]+ ion at m/z 273.07605 and m/z 273.07596 (mass error within ±5 ppm), meaning that they might be isomers of naringenin. In their ESI-MS/MS spectra, the product ions at m/z 227, m/z 151, and m/z 119 in negative ion mode and at m/z 153, m/z 147, and m/z 179 in positive ion mode supported our initial conjecture. However, the information obtained from mass spectrometry was limited. Thus, N22, N23, and N24 were presumed to be isomers of naringenin, which may be present in naringenin chalcone [21].

2.5.3. Identification of Phenolic Acid Metabolites

Combined with relevant literature [29,30] and fragment ions produced by carboxyl groups and benzene rings, 13 phenolic acid metabolites were finally identified.
In the ESI-MS/MS spectra of H1, H2, H3, and H4, the fragment ions at m/z 137 and m/z 121 were generated on account of the neutral loss CO and CO2, suggesting the presence of a carboxyl group. The fragment ions at m/z 147 [M-H-H2O] and m/z 103 [M-H-CO-H2O] confirmed the existence of hydroxyl substitution in their structures. Thus, H1, H2, H3, and H4 could be deduced as 3-(4-Hydroxyphenyl) propionic acid or its isomers. Likewise, it was possible to presume the structures of H11 and H12, which were eventually identified as p-hydroxybenzoic acid or its isomers.
Five isomeric metabolites, H6, H7, H8, H9, and H10 were 2 Da less smaller than H1, H2, H3, and H4. Thus, they were preliminarily deduced to be the dehydrogenated products of H1, H2, H3, and H4. In their ESI-MS/MS spectra, the fragment ions at m/z 119 [M-H-CO2], m/z 121 [M+H-CO2]+, m/z 135 [M-H-CO], m/z 137 [M+H-CO]+, and m/z 119 [M+H-CO-H2O]+ provided evidence of the carboxyl group and hydroxyl group. Finally, H6, H7, H8, H9, and H10 were all tentatively judged as p-hydroxycinnamic acid or its isomers.
H13 with the molecular formula of C9H10O2 (mass error −1.506 ppm) was 16 Da smaller than H1, H2, H3, and H4. The fragment ions at m/z 121 [M-H-CO] and 105 [M-H-CO2] indicated that H13 might be 3-phenylpropionic acid or its isomers.
Similar to the identification process of H11 and H12, the fragment ions of H5 at m/z 134 and m/z 160 in negative ion mode and at m/z 136 and m/z 162 in positive ion mode suggested the presence of a hydroxyl group and carboxyl group. Therefore, according to the accurate measurement, chromatographic behavior, cleavage fragmentation, and characteristic fragment ions, H5 was characterized as hippuric acid or its isomer.

2.6. Possible Biotransformation Pathways of Naringenin

A total of 78 metabolites were finally identified in the study, 41 were detected by “reaction I” (naringenin included), and 37 were detected by “reaction II”, illustrated in Figure 5. The specific information of these metabolites is illustrated in Table 1. In the process of naringenin metabolism, conjugation reactions could occur on naringenin to produce its conjugation products such as glucuronidated metabolites, sulfated metabolites, methylated metabolites, and glucosylated metabolites. Naringenin could also be converted to naringenin chalcone, phloretin, O-desmethylangolensin, and multiple phenolic acid metabolites such as p-hydroxybenzoic acid, hippuric acid, and p-hydroxycinnamic acid by ring fission. In addition, naringenin was found to produce apigenin and other redox metabolites during the metabolic process. Then, naringenin formed multiple metabolic reaction chains through further multi-level metabolic reactions, and eventually, a complex biotransformation network was formed.

3. Discussion

3.1. Naringenin Metabolites In Vivo and In Vitro

In the present study, naringenin metabolites in vivo and in vitro were thoroughly investigated using a UHPLC-Q-Exactive mass spectrometer combining a novel analytical strategy of “ion induction and deduction” and multiple sample preparation methods (SPE, methanol precipitation, and acetonitrile precipitation). In total, 78 metabolites were finally identified; 67 metabolites were detected in vivo, and 13 metabolites were detected in vitro. Their distribution in each sample is illustrated in Figure 6A,B.
At the overall metabolite level, the main biotransformation pathways observed in vivo and in vitro were glucuronidation, sulfation, oxidation, methylation, ring fission, conversion into phenolic acid, and their secondary metabolic metabolism, which promoted the changes of the structure, variation of polarity, and biological properties of naringenin.
In the study of in vivo metabolites, we collected biological samples of plasma, urine, feces, and liver tissue from rats. In Figure 6A,B, it can be seen that most naringenin metabolites could be excreted by urine, implying that a urine sample might be a powerful sample for metabolite identification of naringenin. As shown in Figure 6A, the glucuronidated metabolites of naringenin, sulfated metabolites of naringenin, and phenolic acid metabolites were the major metabolites in the plasma and urine samples, while in feces, phenolic acids were mainly detected, meaning that phenolic acids might be the final metabolites of naringenin. It is worth mentioning that although the liver was the most important organ for metabolism in vivo, our study did not obtain large amount of information of metabolites from the liver tissue, and the metabolites obtained were all phenolic acids. It was preliminarily speculated that naringenin was metabolized rapidly in vivo (within 24 h), so other metabolites were not detected in the liver tissue after 24 h of administration.
Liver microsomes were used to conduct metabolic studies in vitro. In liver microsomes, we identified only 14 metabolites. However, apigenin (M18), an important metabolite of naringenin, was identified in liver microsome samples but not in plasma, urine, feces, or liver tissue samples, which also suggested that apigenin quickly underwent other metabolic reactions and then participated in the bodily physiological functions after being transformed.
The prototype of naringenin was only detected in plasma and liver microsomes, meaning that naringenin would not be excreted in prototype form. Apigenin, an edible plant-derived flavonoid, was proved to be one of the important metabolites of naringenin in this study. Certainly, apigenin is widely known for its anti-oxidant, anticancer, anti-inflammatory, anti-apoptotic, and anti-hyperglycemic effects [32,33], similar to the pharmacological activity of naringenin. However, apigenin also has biological properties that distinguish it from naringenin. For example, naringenin exerts its effect through a post-transcriptional mechanism to inhibit cytokine production, while apigenin mainly regulates cytokine production at the transcriptional level [8]. Furthermore, although both apigenin and naringenin alleviated hyperglycemia and hyperlipemia and insulin resistance, apigenin was more effective than naringenin at an equivalent dose [34]. It was also claimed that the inhibitory activity of apigenin against α-glucosidase was higher than that of naringenin [35]. Therefore, the metabolism of naringenin in vivo to produce apigenin may enhance pharmacological activity and synergize with naringenin to have stronger medicinal effects. Simultaneously, other compounds such as phloretin (N1) and O-desmethylangolensin (N5) with superior activity were also found in the metabolic process [36,37]. Furthermore, hippuric acid (M35) was detected in all biological samples in the metabolic pathway of naringenin. Naringenin undergoes ring fission in vivo to produce a series of organic acids, such as p-hydroxybenzoic acid and 3-(4-hydroxyphenyl) propionic acid, and is ultimately converted into hippuric acid and 4′-hydroxyhippuric acid [38].

3.2. Comparison of the Different Biological Treatment Methods

The main disadvantage of chromatographic methods is the need for sample preparation, which determines whether the sample can be used in the chromatograph in its original form. According to the accurate mass measurements, fragmentation patterns, diagnostic product ions, and literature reports, 31 metabolites were screened and identified in the plasma samples by using the UHPLC-HRMS method, i.e., eight in samples treated with the SPE solid-phase extraction method, 16 in samples treated with methanol precipitation, and 15 in samples treated with acetonitrile precipitation (Figure 6C). Among them, six identical metabolites were discovered in samples subjected to methanol precipitation and acetonitrile precipitation, and two identical metabolites were identified in samples subjected to SPE and methanol precipitation. In contrast, only one identical metabolite was detected in samples subjected to SPE and acetonitrile precipitation.
Although SPE can be used to extract and pre-concentrate a wide range of compound classes and is easy to automate to increase the reproducibility of extractions, this sample preparation method is complex and requires extensive organic solvent consumption. It also has some technical problems [39,40]. In this study, there were lower amounts of samples prepared by SPE than samples prepared by methanol precipitation and acetonitrile precipitation, meaning that SPE may not be suitable for in vivo metabolism studies of such substances. Furthermore, the samples obtained by methanol precipitation and acetonitrile precipitation were similar, so one of them could be selected during sample preparation. During the in vivo metabolic analysis of naringenin, the difference between SPE and the other two preparation methods was mainly reflected in glucuronidated metabolites and organic acid metabolites. More phenolic acid metabolites could be detected in samples prepared by SPE, while more glucuronidated metabolites could be detected in samples prepared by methanol precipitation and acetonitrile precipitation. Differences in metabolite quantity might be due to the different separation selectivity of organic solvents, leading to signal peaks with diverse intensity and quantity concerning naringenin metabolites after UHPLC-HRMS detection.

4. Materials and Methods

4.1. Chemicals and Reagents

Naringenin standard was purchased from Chengdu Must-Technology Co., Ltd. (Chengdu, China). Its purity was acceptable (≥98%) according to HPLC–UV analysis, and its structure was fully elucidated by comparing the spectral data (ESI-MS and 1H, 13C-NMR spectroscopy) with the literature. HPLC-grade acetonitrile, methanol, and formic acid (FA) were purchased from Thermo Fisher Scientific (Fair Lawn, NJ, USA). The deionized water used throughout the experiment was purchased from Watsons (Guangzhou, China). Oasis® HLB C18-low solid-phase extraction cartridges (500 mg·6 mL−1, 60 µm, 149 Å) were purchased from Waters Corporation (Milford, MA, USA). Rat liver microsomes were obtained from NEWGAINBIO Co., Ltd. (Wuxi, China). Nicotinamide adenine dinucleotide phosphate (NADPH) and MgCl2 were purchased from Shanghai Macklin Biochemical Co., Ltd. (Shanghai, China). Six-well plates were obtained from Corning Incorporated-Life Science (Hangzhou, China).

4.2. In Vivo Experiment

4.2.1. Animals and Drug Administration

Six male SD rats weighing 220 ± 20 g were obtained from Jinan Pengyue Experimental Animals Company (Jinan, China). The rats were randomly divided into two groups: the drug group (n = 3) for test plasma, urine, feces, and liver, and the control group (n = 3) for blank plasma, urine, feces, and liver. The rats in the drug group were given a dose of 255 mg·kg−1 body weight orally, administered for 3 d. A standard saline solution (2 mL) was administered to the rats in the control group every day. Other culture conditions were consistent with our previous report [27]. The animal facilities and protocols complied with the Guide for the Care and Use of Laboratory Animals (USA National Research Council, 1996).

4.2.2. Sample Collection and Preparation

Plasma, urine, and feces samples were taken from rats and treated with SPE cartridges by the previous processing method [27]. After 24 h of the last drug administration, rat liver tissues were removed from dissected rats and quenched in liquid nitrogen, and then they were stored at −80 °C. During further processing, liver tissue (0.5 g) was ground with methanol and centrifuged to get the supernatant. The supernatant was added to the pretreated SPE cartridges [27], and then the same process described above was conducted. Furthermore, plasma samples were processed by two other methods so as to explore the impact of different processes of biological samples on metabolite detection: methanol and acetonitrile were added separately to reach a final concentration of 75%. These samples were precipitated for 30 min and then centrifuged at 3500 rpm for 15 min to obtain the solutions after treatment. Finally, all samples were dried under N2 at room temperature. The residue was then redissolved in 300 µL of methanol and centrifuged for 15 min (14,000 rpm, 4 °C). The obtained supernatant was used for further instrumental analysis.

4.3. Experiment In Vitro

The in vitro metabolism of naringenin was carried out in rat liver microsomes. A reaction mixture containing phosphate buffer (pH 7.4), MgCl2 (3 mM, final concentration), rat liver microsomes (1 mg·mL−1, final protein concentration), and naringenin (0.11 mg·mL−1, final concentration) was prepared and called the dosing solution. The drug-negative solution contained phosphate buffer (pH 7.4), MgCl2 (3 mM, final concentration), and rat liver microsomes (1 mg·mL−1, final protein concentration). In the 6-well plate, the dosing solution was added to the drug group, while the control group was given a drug-negative solution. After that, the drug group and the control group were pre-incubated in a water bath at 37 °C for 5 min. The reaction was started by adding NADPH (2.55 mg·mL−1, final concentration) dissolved in buffer. The incubation continued at 37 °C, and 100 μL of supernatant was taken out after 5, 10, 15, 30, 45, 60, 120, and 240 min. Subsequently, 200 μL cold acetonitrile was added to stop the reaction, followed by centrifugation at 3500 rpm for 15 min. Finally, the supernatant was dried under N2 at room temperature. The residue was then redissolved in 300 µL of methanol and centrifuged for 15 min (14,000 rpm, 4 °C). The obtained supernatant was used for further LC–MS analysis.

4.4. Instruments and Analytical Conditions

4.4.1. UHPLC Parameters

Chromatographic separation was performed on a Vanquish column compartment equipped with a Vanquish autosampler (Thermo Electron, Bremen, Germany). Separation was performed on a Waters ACQUITY BEH C18 column (100 × 2.1 mm, 1.7 µm, 130 Å). A flow rate of 0.3 mL·min−1 was set to separate the drug metabolites. The column temperature was maintained at 30 °C, and the injection volume was 2 μL. The mobile phase was composed of acetonitrile (A) and water containing 0.1% formic acid (B). The gradient elution conditions were set as follows: 0–15.0 min, 95–60% B; 15.0–18.0 min, 60% B; 18.0–22.0 min, 60–30% B; 22.0–22.1 min, 30–95% B; 22.1–25.0 min, 95% B.

4.4.2. High-Resolution ESI-MS (HRMS) Parameters

HRMS and MS/MS spectra were obtained using a Q-Orbitrap Exactive Plus mass spectrometer (Thermo Electron, Bremen, Germany) connected to the UHPLC instrument via a heated electrospray ionization (HESI) source. Mass spectrometric detection was performed in both positive and negative ion modes. The ion source parameters were as follows: nitrogen (purity ≥ 99.99%) served as the sheath gas and auxiliary gas at a flow rate of 45 and 10 (arbitrary units), respectively; a capillary temperature of 320 °C and spray voltage of 3800/3500 V (+/−) were used. HRMS was acquired at full scan in a mass range of m/z 80–1200 at a resolution of 140,000, while the resolution of dd-MS2 was 17,500.

4.5. Peak Selections and Data Processing

A Thermo Xcalibur 2.1 workstation was used for data acquisition and processing. To obtain as many ESI-MS/MS fragment ions of naringenin metabolites as possible, the peaks detected with an intensity higher than 40,000 for the positive ion mode and 10,000 for the negative ion mode were selected for identification. The chemical formulas attributed to the selected peaks were calculated using a formula predictor by setting the parameters as follows: C [5–30], H [5–60], O [2–20], S [0–2], N [0–3] and the ring double bond (RDB) equivalent value [3–20].

5. Conclusions

In this study, three methods of biological sample preparation were applied to analyze the in vivo and in vitro metabolism of naringenin. It is worth noting that more metabolites could be retained in samples treated with methanol precipitation and acetonitrile precipitation. Although SPE may not apply to all compounds, it could still be a crucial complement to sample preparation. Our study has demonstrated that compounds obtained by SPE were different from those obtained by other methods. In addition, a UHPLC-Q-Exactive Orbitrap mass spectrometer, which has high selectivity, specificity, and sensitivity [41], was used to investigate the in vitro and in vivo metabolic profiles of naringenin, and an analytical strategy of “ion induction and deduction” based on metabolic “net-hubs” was performed. Due to the difference in metabolic reactions, we divided the metabolic reactions into two categories: in the first, the mass spectral information of such metabolites matched well with that of naringenin, but this did not occur in the second. Therefore, we constructed multiple “net-hubs” and three DPI groups according to the different characteristics of these reactions. Then, the mass spectral information of samples was quickly compared with that of the DPI groups to rapidly screen possible naringenin metabolites.
Finally, 78 naringenin metabolites were identified from plasma, urine, feces, liver tissue, and liver microsome samples. The main biotransformation pathways observed were glucuronidation, sulfation, oxidation, methylation, and so on. Furthermore, we found that naringenin could undergo ring fission to generate naringenin chalcone, phloretin, and various aromatic acids such as 3-(4-hydroxyphenyl) propionic acid and hippuric acid. Metabolites such as apigenin can play a synergistic effect in the body, helping to exert stronger biological activity. Our results supply valuable data for a better understanding of naringenin and provide ideas for the analysis of the metabolites of other natural compounds.

Author Contributions

According to the CRediT taxonomy: Y.-F.C.: formal analysis, writing—original draft preparation, visualization, investigation, W.-W.Z.: investigation, writing—original draft preparation, project administration, Y.-N.L.: validation, resources, Writing–review, J.X.: validation, resources, Writing–review, X.-M.L.: validation, Writing–review, S.-Y.S.: validation, Writing–review, Y.-Q.L.: writing—review and editing, funding acquisition, L.D.: conceptualization, validation, data curation, writing—review and editing, supervision, funding acquisition; J.-Y.Z.: conceptualization, validation, data curation, writing—review and editing, supervision, funding acquisition. All authors have read and agreed to the published version of the manuscript.

Funding

This work was financially supported by the Taishan Young Scholar Program of Shandong (TSQN202103110), Young and Creative Team for Talent Introduction of Shandong Province (10073004), General Program of National Natural Science Foundation of China (82174039), General project of Shandong Natural Science Foundation (ZR2020MH371), Major Scientific and Technological Innovation Projects in Shandong Province (2021CXGC010511), and Binzhou Medical University Scientific Research Fund for High-level Talents (2019KYQD06).

Institutional Review Board Statement

The animal study protocol was approved by the Institutional Review Board (or Ethics Committee) of Binzhou Medical University (2021-083).

Informed Consent Statement

Not applicable.

Data Availability Statement

Most of the data used during the preparation of the manuscript are included in the Results and Discussion sections. However, for any additional details of the procedures and the original raw files, please contact the corresponding authors.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

Sample Availability

Samples of the related compounds are available from the authors.

References

  1. Schijlen, E.G.; Ric de Vos, C.H.; van Tunen, A.J.; Bovy, A.G. Modification of flavonoid biosynthesis in crop plants. Phytochemistry 2004, 65, 2631–2648. [Google Scholar] [CrossRef] [PubMed]
  2. Hernández-Aquino, E.; Muriel, P. Beneficial effects of naringenin in liver diseases: Molecular mechanisms. World J. Gastroenterol. 2018, 24, 1679–16707. [Google Scholar] [CrossRef] [PubMed]
  3. Chen, W.; Lin, B.; Xie, S.; Yang, W.; Lin, J.; Li, Z.; Zhan, Y.; Gui, S.; Lin, B. Naringenin protects RPE cells from NaIO(3)-induced oxidative damage in vivo and in vitro through up-regulation of SIRT1. Phytomed. Int. J. Phytother. Phytopharm. 2021, 80, 153375. [Google Scholar]
  4. Memariani, Z.; Abbas, S.Q.; Ul Hassan, S.S.; Ahmadi, A.; Chabra, A. Naringin and naringenin as anticancer agents and adjuvants in cancer combination therapy: Efficacy and molecular mechanisms of action, a comprehensive narrative review. Pharmacol. Res. 2021, 171, 105264. [Google Scholar] [CrossRef] [PubMed]
  5. Choi, J.; Lee, D.H.; Jang, H.; Park, S.Y.; Seol, J.W. Naringenin exerts anticancer effects by inducing tumor cell death and inhibiting angiogenesis in malignant melanoma. Int. J. Med. Sci. 2020, 17, 3049–3057. [Google Scholar] [CrossRef]
  6. Pateliya, B.; Burade, V.; Goswami, S. Combining naringenin and metformin with doxorubicin enhances anticancer activity against triple-negative breast cancer in vitro and in vivo. Eur. J. Pharmacol. 2021, 891, 173725. [Google Scholar] [CrossRef]
  7. Pinho-Ribeiro, F.A.; Zarpelon, A.C.; Fattori, V.; Manchope, M.F.; Mizokami, S.S.; Casagrande, R.; Verri, W.A., Jr. Naringenin reduces inflammatory pain in mice. Neuropharmacology 2016, 105, 508–519. [Google Scholar] [CrossRef]
  8. Zeng, W.; Jin, L.; Zhang, F.; Zhang, C.; Liang, W. Naringenin as a potential immunomodulator in therapeutics. Pharmacol. Res. 2018, 135, 122–126. [Google Scholar] [CrossRef]
  9. Den Hartogh, D.J.; Tsiani, E. Antidiabetic Properties of Naringenin: A Citrus Fruit Polyphenol. Biomolecules 2019, 9, 99. [Google Scholar] [CrossRef] [Green Version]
  10. Wang, F.; Zhao, C.; Yang, M.; Zhang, L.; Wei, R.; Meng, K.; Bao, Y.; Zhang, L.; Zheng, J. Four Citrus Flavanones Exert Atherosclerosis Alleviation Effects in ApoE(-/-) Mice via Different Metabolic and Signaling Pathways. J. Agric. Food Chem. 2021, 69, 5226–5237. [Google Scholar] [CrossRef]
  11. Heidary Moghaddam, R.; Samimi, Z.; Moradi, S.Z.; Little, P.J.; Xu, S.; Farzaei, M.H. Naringenin and naringin in cardiovascular disease prevention: A preclinical review. Eur. J. Pharmacol. 2020, 887, 173535. [Google Scholar] [CrossRef] [PubMed]
  12. Abrego-Peredo, A.; Romero-Ramírez, H.; Espinosa, E.; López-Herrera, G.; García-García, F.; Flores-Muñoz, M.; Sandoval-Montes, C.; Rodríguez-Alba, J.C. Naringenin mitigates autoimmune features in lupus-prone mice by modulation of T-cell subsets and cytokines profile. PLoS ONE 2020, 15, e0233138. [Google Scholar] [CrossRef] [PubMed]
  13. Nouri, Z.; Fakhri, S.; El-Senduny, F.F.; Sanadgol, N.; Abd-ElGhani, G.E.; Farzaei, M.H.; Chen, J.T. On the Neuroprotective Effects of Naringenin: Pharmacological Targets, Signaling Pathways, Molecular Mechanisms, and Clinical Perspective. Biomolecules 2019, 9, 690. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Rebello, C.J.; Greenway, F.L.; Lau, F.H.; Lin, Y.; Stephens, J.M.; Johnson, W.D.; Coulter, A.A. Naringenin Promotes Thermogenic Gene Expression in Human White Adipose Tissue. Obesity 2019, 27, 103–111. [Google Scholar] [CrossRef] [PubMed]
  15. Tutunchi, H.; Naeini, F.; Ostadrahimi, A.; Hosseinzadeh-Attar, M.J. Naringenin, a flavanone with antiviral and anti-inflammatory effects: A promising treatment strategy against COVID-19. Phytother. Res. PTR 2020, 34, 3137–3147. [Google Scholar] [CrossRef]
  16. Zanger, U.M.; Schwab, M. Cytochrome P450 enzymes in drug metabolism: Regulation of gene expression, enzyme activities, and impact of genetic variation. Pharmacol. Ther. 2013, 138, 103–141. [Google Scholar] [CrossRef]
  17. Kirchmair, J.; Göller, A.H.; Lang, D.; Kunze, J.; Testa, B.; Wilson, I.D.; Glen, R.C.; Schneider, G. Predicting drug metabolism: Experiment and/or computation? Nat. Rev. Drug Discov. 2015, 14, 387–404. [Google Scholar] [CrossRef] [Green Version]
  18. Zhang, H.; Gao, N.; Tian, X.; Liu, T.; Fang, Y.; Zhou, J.; Wen, Q.; Xu, B.; Qi, B.; Gao, J.; et al. Content and activity of human liver microsomal protein and prediction of individual hepatic clearance in vivo. Sci. Rep. 2015, 5, 17671. [Google Scholar] [CrossRef] [Green Version]
  19. Li, W.; Zhang, J.; Wang, Y.; Hu, F.; Zhang, Y. Metabolism of vesatolimod in rat, dog, and human liver microsomes: Metabolic stability assessment, metabolite identification, and interspecies comparison. Drug Test. Anal. 2019, 11, 240–249. [Google Scholar] [CrossRef]
  20. Bai, Y.; Peng, W.; Yang, C.; Zou, W.; Liu, M.; Wu, H.; Fan, L.; Li, P.; Zeng, X.; Su, W. Pharmacokinetics and Metabolism of Naringin and Active Metabolite Naringenin in Rats, Dogs, Humans, and the Differences Between Species. Front. Pharmacol. 2020, 11, 364. [Google Scholar] [CrossRef] [Green Version]
  21. Yoshimura, M.; Sano, A.; Kamei, J.; Obata, A. Identification and quantification of metabolites of orally administered naringenin chalcone in rats. J. Agric. Food Chem. 2009, 57, 6432–6437. [Google Scholar] [CrossRef] [PubMed]
  22. Dall’Asta, M.; Derlindati, E.; Curella, V.; Mena, P.; Calani, L.; Ray, S.; Zavaroni, I.; Brighenti, F.; Del Rio, D. Effects of naringenin and its phase II metabolites on in vitro human macrophage gene expression. Int. J. Food Sci. Nutr. 2013, 64, 843–849. [Google Scholar] [CrossRef] [PubMed]
  23. Wen, B.; Zhu, M. Applications of mass spectrometry in drug metabolism: 50 years of progress. Drug Metab. Rev. 2015, 47, 71–87. [Google Scholar] [CrossRef]
  24. Ma, S.; Chowdhury, S.K. Data acquisition and data mining techniques for metabolite identification using LC coupled to high-resolution MS. Bioanalysis 2013, 5, 1285–1297. [Google Scholar] [CrossRef] [PubMed]
  25. Xu, J.; Dong, P.; Cui, Y.; Li, H.; Jiang, S.; Wang, Y.; Zhang, J. Comprehensive analysis of dihydromyricetin metabolites in rats using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry. J. Sep. Sci. 2022; in press. [Google Scholar]
  26. Dong, P.; Shi, L.; Wang, S.; Jiang, S.; Li, H.; Dong, F.; Xu, J.; Dai, L.; Zhang, J. Rapid Profiling and Identification of Vitexin Metabolites in Rat Urine, Plasma and Faeces after Oral Administration Using a UHPLC-Q-Exactive Orbitrap Mass Spectrometer Coupled with Multiple Data-mining Methods. Curr. Drug Metab. 2021, 22, 185–197. [Google Scholar]
  27. Sun, S.; Xie, Z.S.; Liu, E.H.; Yan, Y.T.; Xu, X.J.; Li, P. Chemical profiling of Jinqi Jiangtang tablets by HPLC-ESI-Q-TOF/MS. Chin. J. Nat. Med. 2014, 12, 229–240. [Google Scholar] [CrossRef]
  28. Shang, Z.; Xin, Q.; Zhao, W.; Wang, Z.; Li, Q.; Zhang, J.; Cong, W. Rapid profiling and identification of puerarin metabolites in rat urine and plasma after oral administration by UHPLC-LTQ-Orbitrap mass spectrometer. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2017, 1068–1069, 80–192. [Google Scholar] [CrossRef]
  29. Roowi, S.; Mullen, W.; Edwards, C.A.; Crozier, A. Yoghurt impacts on the excretion of phenolic acids derived from colonic breakdown of orange juice flavanones in humans. Mol. Nutr. Food Res. 2009, 53 (Suppl. 1), S68–S75. [Google Scholar] [CrossRef]
  30. Pereira-Caro, G.; Borges, G.; van der Hooft, J.; Clifford, M.N.; Del Rio, D.; Lean, M.E.; Roberts, S.A.; Kellerhals, M.B.; Crozier, A. Orange juice (poly)phenols are highly bioavailable in humans. Am. J. Clin. Nutr. 2014, 100, 1378–1384. [Google Scholar] [CrossRef] [Green Version]
  31. Borges, G.; Lean, M.E.; Roberts, S.A.; Crozier, A. Bioavailability of dietary (poly)phenols: A study with ileostomists to discriminate between absorption in small and large intestine. Food Funct. 2013, 4, 754–762. [Google Scholar] [CrossRef] [PubMed]
  32. Salehi, B.; Venditti, A.; Sharifi-Rad, M.; Kręgiel, D.; Sharifi-Rad, J.; Durazzo, A.; Lucarini, M.; Santini, A.; Souto, E.B.; Novellino, E.; et al. The Therapeutic Potential of Apigenin. Int. J. Mol. Sci. 2019, 20, 1305. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Ahmed, S.A.; Parama, D.; Daimari, E.; Girisa, S.; Banik, K.; Harsha, C.; Dutta, U.; Kunnumakkara, A.B. Rationalizing the therapeutic potential of apigenin against cancer. Life Sci. 2021, 267, 118814. [Google Scholar] [PubMed]
  34. Ren, B.; Qin, W.; Wu, F.; Wang, S.; Pan, C.; Wang, L.; Zeng, B.; Ma, S.; Liang, J. Apigenin and naringenin regulate glucose and lipid metabolism, and ameliorate vascular dysfunction in type 2 diabetic rats. Eur. J. Pharmacol. 2016, 773, 13–23. [Google Scholar] [CrossRef]
  35. Tadera, K.; Minami, Y.; Takamatsu, K.; Matsuoka, T. Inhibition of alpha-glucosidase and alpha-amylase by flavonoids. J. Nutr. Sci. Vitaminol. 2006, 52, 149–153. [Google Scholar] [CrossRef] [Green Version]
  36. Wu, M.; Li, P.; An, Y.; Ren, J.; Yan, D.; Cui, J.; Li, D.; Li, M.; Wang, M.; Zhong, G. Phloretin ameliorates dextran sulfate sodium-induced ulcerative colitis in mice by regulating the gut microbiota. Pharmacol. Res. 2019, 150, 104489. [Google Scholar] [CrossRef]
  37. Frankenfeld, C.L. O-desmethylangolensin: The importance of equol’s lesser known cousin to human health. Adv. Nutr. 2011, 2, 317–324. [Google Scholar] [CrossRef] [Green Version]
  38. Pereira-Caro, G.; Ludwig, I.A.; Polyviou, T.; Malkova, D.; García, A.; Moreno-Rojas, J.M.; Crozier, A. Identification of Plasma and Urinary Metabolites and Catabolites Derived from Orange Juice (Poly)phenols: Analysis by High-Performance Liquid Chromatography-High-Resolution Mass Spectrometry. J. Agric. Food Chem. 2016, 64, 5724–5735. [Google Scholar] [CrossRef] [Green Version]
  39. Jordan, T.B.; Nichols, D.S.; Kerr, N.I. Selection of SPE cartridge for automated solid-phase extraction of pesticides from water followed by liquid chromatography-tandem mass spectrometry. Anal. Bioanal. Chem. 2009, 394, 2257–2266. [Google Scholar] [CrossRef]
  40. Ulrich, S. Solid-phase microextraction in biomedical analysis. J. Chromatogr. A 2000, 902, 167–194. [Google Scholar] [CrossRef]
  41. Shou, W.Z.; Zhang, J. Recent development in high-throughput bioanalytical support for in vitro ADMET profiling. Expert Opin. Drug Metab. Toxicol. 2010, 6, 321–336. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Flow diagram of naringenin metabolic analysis and the analytical strategy of “ion induction and deduction” based on metabolic “net-hubs”.
Figure 1. Flow diagram of naringenin metabolic analysis and the analytical strategy of “ion induction and deduction” based on metabolic “net-hubs”.
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Figure 2. ESI-MS/MS spectral information and the cleavage pathways of naringenin. (A): ESI-MS/MS spectral information in negative mode; (B): cleavage pathways in negative mode; (C): ESI-MS/MS spectral information in positive mode; (D): cleavage pathways in positive mode.
Figure 2. ESI-MS/MS spectral information and the cleavage pathways of naringenin. (A): ESI-MS/MS spectral information in negative mode; (B): cleavage pathways in negative mode; (C): ESI-MS/MS spectral information in positive mode; (D): cleavage pathways in positive mode.
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Figure 3. Possible cleavage pathway of M4.
Figure 3. Possible cleavage pathway of M4.
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Figure 4. Possible cleavage pathway of N4.
Figure 4. Possible cleavage pathway of N4.
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Figure 5. The possible metabolic pathways of naringenin. (A): the possible metabolic pathway of naringenin by “reaction I”; (B): the possible metabolic pathway of naringenin by “reaction II”.
Figure 5. The possible metabolic pathways of naringenin. (A): the possible metabolic pathway of naringenin by “reaction I”; (B): the possible metabolic pathway of naringenin by “reaction II”.
Molecules 27 07282 g005
Figure 6. Distribution of naringenin metabolites in samples. (A): classification and distribution of metabolites in different metabolic samples (P: plasma; U: urine; F: feces; L: liver tissue; LM: liver microsomes); (B): quantity distribution of metabolites in different metabolic samples (P: plasma; U: urine; F: faces; L: liver tissue; LM: liver microsomes); (C): distribution of naringenin metabolites in samples with different preparation methods (P-S: plasma—SPF solid phase extraction method; P-M: plasma—methanol precipitation; P-A: plasma—acetonitrile precipitation).
Figure 6. Distribution of naringenin metabolites in samples. (A): classification and distribution of metabolites in different metabolic samples (P: plasma; U: urine; F: feces; L: liver tissue; LM: liver microsomes); (B): quantity distribution of metabolites in different metabolic samples (P: plasma; U: urine; F: faces; L: liver tissue; LM: liver microsomes); (C): distribution of naringenin metabolites in samples with different preparation methods (P-S: plasma—SPF solid phase extraction method; P-M: plasma—methanol precipitation; P-A: plasma—acetonitrile precipitation).
Molecules 27 07282 g006
Table 1. Metabolites of naringenin in rat plasma, urine, feces, liver, and liver microsomes.
Table 1. Metabolites of naringenin in rat plasma, urine, feces, liver, and liver microsomes.
PeaktR (min)Formula [M ± H]+Ion ModeTheoretical Mass (m/z)Experimental Mass (m/z)Error (ppm)MS/MS Fragment IonsP-SP-MP-AUFLLM
M0 *13.33C15H11O5N271.06120271.062263.923271.06 (100), 151.00 (69), 119.05 (40), 107.01 (16), 93.03 (11), 152.01 (3), 120.05 (3)
13.31C15H13O5P273.07575273.075990.879153.02 (100), 273.08 (92), 147.04 (60), 154.02 (7), 148.05 (6), 119.05 (5), 123.04 (4)
Naringenin Metabolites by “Reaction I”
M16.20C27H27O17N623.12480623.127263.029447.09 (100), 113.02 (59), 271.06 (56), 623.13 (25), 151.00 (21), 175.02 (21), 119.05 (6)
M26.8C27H27O17N623.12480623.127443.318447.09 (100), 271.06 (53), 85.03 (26), 175.02 (20), 151.00 (20), 119.05 (6)
M38.39C27H27O17N623.12480623.127563.511271.06 (100), 151.00 (52), 447.09 (45), 119.05 (16), 175.02 (11), 85.03 (7), 107.01 (3)
8.35C27H29O17P625.13935625.140931.607273.08 (100), 153.02 (43), 449.11 (34), 147.04 (28), 171.03 (10), 497.30 (3),
M49.61C27H27O17N623.12480623.126894.196623.13 (48), 271.06 (19), 151.00 (12), 175.02 (5), 119.05 (3), 447.09 (2), 459.09 (1), 341.73 (0.4)
9.56C27H29O17P625.13935625.13953−0.633273.08 (100), 153.02 (39), 171.03 (24), 147.04 (15), 431.10 (10), 413.09 (8), 505.08 (0.3), 497.10 (0.2)
M58.23C21H19O12N463.08770463.089483.95463.09 (100), 151.00 (95), 287.06 (90), 337.04 (45), 175.02 (27), 85.03 (22.42), 271.06 (13), 285.04 (7), 167.00 (6), 141.02 (4), 193.02 (3)
M68.60C21H19O12N463.08770463.089263.475287.06 (100), 337.04 (79), 463.09 (28), 167.00 (17), 125.02 (15), 175.02 (15), 119.05 (12), 271.06 (11), 235.15 (9), 193.03 (4), 141.02 (2)
M79.57C21H19O12N463.08770463.088381.575287.06 (100), 151.00 (75), 463.09 (56), 175.02 (26.32), 125.02 (16.63), 285.04 (13), 337.04 (6), 177.02 (5), 193.03 (3), 167.03 (1), 141.02 (1)
M89.72C21H19O12N463.08770463.088961.445287.06 (100), 463.09 (94), 285.04 (48.97), 151.00 (43), 175.02 (29), 337.04 (28), 119.05 (27), 167.00 (17), 193.01 (2), 141.02 (1)
M97.97C21H21O11P449.10725449.108401.252273.08 (100), 153.02 (52), 147.04 (21), 413.09 (3), 231.03 (2), 431.09 (1)
M109.61C21H19O11N447.09270447.094673.099271.06 (100), 151.00 (48), 175.02 (37), 447.09 (24), 271.03 (5)
9.60C21H21O11P449.10725449.108220.851273.08 (100), 153.02 (31), 147.04 (22), 154.02 (3), 449.11 (2), 123.04 (2), 255.77 (1)
M1110.77C21H21O11P449.10725449.108220.851273.08 (100), 153.02 (54), 147.04 (37), 449.11 (16), 123.04 (2), 179.03 (1), 255.07 (0.4), 231.07 (0.4)
M1210.75C15H11O8SN351.01750351.018523.012271.06 (100), 351.02 (56), 151.00 (37), 207.14 (24), 119.05 (14), 177.02 (5), 79.96 (3), 107.01 (3), 225.15 (2)
10.78C15H13O8SP353.03205353.032780.610273.08 (100), 153.02 (83), 353.03 (77), 147.04 (52), 171.03 (5), 121.10 (2), 335.22 (1), 175.11 (0.5), 203.11 (0.3), 227.00 (0.3)
M1311.10C15H11O8SN351.01750351.019073.016271.06 (100), 351.02 (34), 151.00 (28), 177.02 (4), 119.05 (9), 93.03 (4), 107.01 (2)
11.14C15H13O8SP353.03205353.032680.327273.08 (100), 353.03 (87), 153.02 (79), 147.04 (52), 335.22 (8), 121.10 (5), 109.10 (5), 317.21 (4), 175.11 (2), 203.14 (1), 191.11 (1), 231.06 (1)
M1412.04C15H11O8SN351.01750351.019012.845271.06 (100), 151.00 (34), 351.02 (28), 119.05 (11), 107.01 (5), 93.03 (2), 227.07 (2)
12.06C15H13O8SP353.03205353.032750.525273.08 (100), 153.02 (87), 353.03 (80), 147.04 (50), 109.10 (11), 121.10 (10), 95.09 (10), 171.03 (8), 335.22 (8), 203.14 (2), 175.11 (2)
M159.58C15H11O6N287.05556287.056922.817259.06 (100), 125.02 (99), 287.06 (83), 243.07 (19), 151.00 (17), 177.05 (10), 135.04 (4), 109.03 (3)
9.55C15H13O6P289.07011289.071010.345153.02 (100), 215.07 (59), 243.07 (56), 107.05 (53), 289.07 (42), 163.04 (16), 195.03 (10), 167.03 (10)
M169.99C15H11O6N287.05556287.056762.260287.06 (100), 151.00 (34), 167.00 (26), 119.05 (18), 259.06 (14), 193.68 (3)
M1710.38C15H11O6N287.05556287.056983.026125.020 (100), 287.06 (17), 151.00 (12), 135.04 (10), 161.02 (5), 107.01 (2)
10.38C15H13O6P289.07011289.071110.445153.02 (100), 289.07 (15), 163.04 (1), 161.85 (1)
M1811.52C15H11O6N287.05556287.056431.110151.00 (100), 135.04 (68), 287.06 (20), 107.01 (10), 152.01 (8), 125.02 (4), 65.00 (4), 109.03 (1)
11.51C15H13O6P289.07011289.07059−0.075289.07 (100), 153.02 (85), 163.04 (79), 179.03 (8), 111.01 (3), 139.04 (2), 151.04 (1), 229.05 (0.4), 137.06 (0.4)
M1913.30C15H11O6N287.05556287.05594−0.597287.06 (100), 151.00 (99), 177.02 (27), 119.05 (24), 167.00 (21), 107.01 (13), 193.01 (6)
M2011.04C16H13O5N285.07630285.07535−3.327241.14 (100), 285.13 (57), 179.14 (36), 242.15 (14), 160.04 (6), 97.06 (3), 205.12 (2), 177.13 (2), 83.05 (2), 151.11 (2), 107.05 (0.4)
M2114.85C16H13O5N285.07630285.076932.216160.04 (32), 179.03 (29), 285.08 (28), 253.15 (27), 241.08 (16), 205.03 (7), 83.05 (4)
M226.03C27H29O16N609.14548609.148383.730343.08 (100), 609.15 (85), 313.07 (61), 519.12 (53)?, 271.06 (16), 591.14 (14), 489.10 (13), 573.13 (11), 119.05 (10), 555.11 (8), 151.00 (8), 433.12 (8), 448.10 (3)
6.04C27H31O16P611.16004611.161010.571436.14 (83), 315.09 (37), 417.12 (18), 285.08 (15), 381.10 (14), 147.04 (10), 399.11 (10), 273.08 (6), 473.11(4)
M236.61C27H29O16N609.14548609.148383.730609.15 (100), 313.07 (73), 343.08 (44), 489.10 (20), 271.06 (13), 433.12 (12), 151.00 (7), 119.05 (7)
6.61C27H31O16P611.16004611.161190.865315.09 (36), 417.12 (20), 285.08 (17), 436.14 (10), 399.11 (5)
M247.66C27H29O16N609.14548609.148193.418313.07 (100), 609.15 (97), 489.10 (38), 343.08 (37), 271.06 (12), 433.11 (7), 151.00 (5), 119.05 (5)
7.67C27H31O16P611.16004611.161381.176315.09 (31), 285.08 (18), 417.12 (14), 399.11 (11), 273.08 (8), 147.04 (6)
M256.03C21H19O14SN527.04958527.051452.563271.06 (100), 527.05 (51), 151.00 (35), 447.09 (23), 351.02 (11), 119.05 (7), 175.02 (5), 107.01 (2), 177.02 (2), 227.07 (2)
M266.38C21H19O14SN527.04958527.051091.880271.06 (100), 527.05 (56), 151.00 (34), 447.09 (25), 351.02 (9), 119.05 (7), 175.02 (5), 107.01 (2)
M277.93C21H19O14SN527.04958527.050961.633271.06 (100), 351.02 (73), 527.05 (62), 447.09 (48), 151.00 (26), 175.02 (17), 119.05 (5.88), 177.02 (4), 93.03 (3)
M288.42C21H19O14SN527.04958527.051572.791271.06 (100), 351.02 (63), 527.05 (54), 447.09 (40), 151.00 (25), 175.02 (15), 119.05 (7), 177.02 (3), 107.01 (2)
M299.50C21H19O14SN527.04958527.051332.336271.06 (60), 527.05 (57), 351.02 (175.02 (28 ), 447.09 (21), 151.00 (14), 119.05 (4), 75.01 (3), 177.02 (2), 93.03 (1)
M307.76C21H19O15SN543.04448543.046332.424367.01 (100), 151.00 (87), 287.06 (76), 543.05 (46), 463.09 (38), 175.02 (12), 107.01 (2), 271.06 (1)
M318.25C21H19O15SN543.04451543.045841.522367.01 (81), 151.00 (77), 287.06 (73), 351.02 (44), 463.20 (44), 271.06 (37), 175.02 (28), 368.02 (12), 79.96 (12)
M329.94C22H21O12N477.10328477.105012.433301.07 (100), 271.06 (70), 151.00 (46), 477.10 (40), 175.02 (27), 399.05 (6), 107.01 (6)177.02 (4), 286.05 (4)
9.96C22H23O12P479.11784479.11862−1.835303.09 (100), 177.05 (34), 153.02 (31), 179.03 (5), 479.11 (3), 147.04 (3)
M3310.34C22H21O12N477.10328477.104892.181271.06 (85), 301.07 (80), 477.10 (55), 175.02 (22), 151.00 (12), 286.05 (8), 399.05 (7)
10.33C22H23O12P479.11784479.11880−1.460303.09 (100), 177.05 (55), 153.02 (36), 179.03 (8), 479.12 (3), 154.02 (2), 121.04 (1)
M3411.83C22H21O11N461.10838461.110202.744271.06 (100), 461.11 (33), 151.00 (31), 119.05 (13), 337.04 (10), 285.08 (8), 175.00 (7), 401.09 (5), 93.03 (5), 177.02 (4)
M3513.28C22H21O11N461.10838461.110142.614285.08 (100), 175.02 (21), 461.11 (13), 337.04 (4), 243.07 (4), 271.06 (4), 151.00 (3), 301.07 (1)
M366.06C21H21O13SN513.07021513.072022.311271.06 (100), 513.07 (54), 433.11 (35), 151.00 (30), 177.02 (3), 93.03 (2), 241.00 (2), 227.07 (1)
M376.17C21H21O13SN513.07021513.072332.915271.06 (100), 513.07 (48), 433.11 (32), 151.00 (31), 119.05 (7), 177.02 (3), 241.00 (2), 107.01 (2), 93.03 (2)
M386.50C21H21O13SN513.07021513.071781.843271.06 (100), 513.07 (51), 433.11 (32), 151.00 (31), 177.02 (3), 241.00 (3), 107.01 (2)
M3913.56C15H11O11S2N430.97431430.975922.539271.06 (100), 351.02 (86), 430.20 (15), 151.00 (14), 119.05 (4), 177.02 (2), 243.82)(2)
M4014.23C15H11O11S2N430.97431430.975862.400271.06 (100), 351.02 (86), 151.00 (16), 349.00 (4), 177.02 (3), 93.03 (2)
Naringenin Metabolites by “Reaction II”
N11.23C15H13O5N273.07685273.07498−4.828179.84 (100), 227.07 (36), 273.83 (33), 125.87 (13)
N28.93C15H11O5P271.06005271.060150.185271.06 (100), 153.02 (7), 215.07 (5), 243.07 (4), 149.02 (2), 253.05 (2), 147.04 (1), 145.03 (1), 119.05 (1)
N312.95C15H11O5P271.06005271.06009−0.037273.08 (100), 153.02 (88), 147.04 (51), 177.05 (10), 235.13 (10), 227.11 (10), 93.07 (8), 119.05 (7), 107.05 (6), 171.03 (5)
N413.35C15H9O5N269.04550269.046573.804151.00 (100), 107.01 (28), 93.03 (26), 65.00 (14), 125.02 (2), 269.05 (2), 117.03 (0.4)
13.33C15H11O5P271.06005271.060702.214153.02 (100), 147.04 (60), 271.06 (12), 119.05 (7), 171.03 (4), 107.05 (2), 151.04 (1)
N511.55C15H15O4P259.09709259.096771.098149.06 (100), 121.07 (69), 165.05 (21), 137.06 (16), 259.10 (14), 213.09 (9), 122.07 (6), 241.09 (5), 139.06 (4)
11.53C15H13O4N257.08254257.08179−0.553221.84 (53), 257.08 (32), 135.04 (31), 239.13 (12), 211.13 (6), 151.11 (4)
N65.56C27H27O17P623.12370623.124450.280271.06 (100), 447.09 (31), 448.09 (6), 299.07 (1), 284.06 (0.5), 328.06 (0.4), 429.08 (0.3)
N75.88C14H11O4N243.06575243.066731.843243.07 (100), 124.02 (9), 149.02 (7), 225.06 (3), 93.03 (2), 122.89 (2)
N87.09C21H21O10P433.11230433.11313−2.055257.08 (100), 123.04 (52), 271.06 (42), 433.28 (38), 163.04 (30), 223.08 (24), 95.05 (6), 124.05 (4), 136.05 (2)
N97.24C21H21O10P433.11230433.11298−2.401257.08 (100), 123.04 (54), 163.04 (31), 135.04 (6), 95.05 (6), 137.02 (5), 271.06 (3), 433.11 (2)
N108.06C21H21O10P433.11230433.11334−1.570257.08 (100), 123.04 (46), 163.04 (30), 95.05 (6), 135.04 (6), 137.02 (6), 253.14 (3), 209.15(2), 153.02 (1), 271.06 (1)
N1113.04C21H21O10P433.11230433.11340−1.432257.08 (100), 153.02 (21), 433.11 (2), 215.07 (1), 125.10 (1), 95.09 (0.5), 271.06 (0.3)
N127.38C21H17O12N461.07205461.074313.819285.04 (100), 461.07 (22), 177.02 (13), 151.00 (6), 175.02 (5), 107.01 (2), 241.05 (1)
7.38C21H19O12P463.08660463.087681.247287.06 (100), 269.04 (7), 463.09 (6), 153.02 (3), 241.05 (2), 121.03 (1), 231.06 (1), 259.06 (1)
N137.88C16H11O6N299.05555299.056701.968163.00 (100), 135.04 (88), 299.06 (19), 281.05 (2), 123.95 (1), 161.84 (1), 93.03 (1)
N1412.63C16H11O6N299.05555299.056641.768163.00 (100), 135.04 (99), 299.06 (23), 119.05 (11), 164.01 (9), 281.05 (1), 93.03 (1)
N158.32C21H17O11N445.07705445.079073.225269.05 (100), 175.02 (16), 445.08 (11), 151.00 (1), 327.03 (1), 161.51 (1), 119.03 (1)
8.31C21H19O11P447.09160447.092801.369271.06 (100), 447.09 (10), 153.02 (5), 147.04 (2), 215.07 (1), 243.06 (1), 161.73 (0.3)
N168.96C21H17O11N445.07705445.079103.293269.05 (100), 445.08 (25), 175.02 (5), 225.06 (4), 151.00 (4), 311.06 (2)
8.92C21H19O11P447.09160447.09216−0.062271.06 (100), 447.22 (8), 95.09 (1), 225.11 (1), 215.07 (1), 176.11 (0.5), 253.05 (0.3), 313.07 (0.2), 329.07 (0.1)
N179.47C21H17O11N445.07705445.079193.495269.05 (100), 175.02 (15), 445.08 (11), 151.00 (2), 338.82 (1), 93.53 (1)
9.46C21H19O11P447.09160447.092741.235271.06 (100), 447.09 (16), 153.02 (2), 147.04 (1)
N1811.42C16H13O5P285.07520285.07568−0.246285.08 (100), 270.05 (14), 133.09 (6), 225.05 (2), 177.11 (2)
N1911.53C15H9O6N285.04100285.041533.749151.00 (100), 135.04 (69), 107.01 (11), 125.02 (4), 285.04 (4), 65.00 (3), 257.05 (1)
N2011.74C15H9O6N285.04100285.041052.065285.04 (100), 151.00 (11), 135.04 (5), 107.01 (2), 241.05 (1)
11.72C15H11O6P287.05555287.055300.285287.05 (100), 153.02 (29), 163.04 (26), 135.04 (3), 179.03 (2), 123.04 (1), 271.06 (1), 151.04 (0.4)
N2111.52C21H23O10P435.12918435.129061.119149.06 (100), 259.10 (82), 121.07 (41), 213.09 (6), 241.09 (4), 271.19 (1), 435.12 (1), 95.09 (1)
N229.59C15H13O5P273.07580273.075960.210153.02 (100), 273.08 (96), 147.04 (50), 154.02 (8), 119.05 (6), 179.03 (2)
N2310.79C15H13O5P273.07580273.075960.210153.02 (100), 273.08 (89), 147.04 (51), 154.02 (8), 119.05 (7), 237.16 (3)
N248.33C15H13O5P273.07580273.076051.099153.02 (100), 147.04 (57), 154.02 (7), 119.05 (6), 148.05 (6), 179.03 (1), 109.10 (1), 95.09 (1)
Phenolic Acid Metabolites
H17.12C9H9O3N165.05572165.05528−2.650147.04 (100), 165.06 (38), 121.03 (36), 119.05 (39), 137.03 (6), 103.92 (6)
7.08C9H11O3P167.07027167.070762.929139.98 (69), 167.98 (35), 107.09 (27), 109.06 (18), 93.07 (18), 121.07 (15.01), 149.10 (13), 95.05 (12)
H27.46C9H9O3N165.05572165.05525−2.832121.06 (100), 119.05 (51), 121.03 (47), 165.05 (24), 147.04 (5), 137.03 (5), 103.92 (4)
7.42C9H11O3P167.07027167.070571.791120.08 (100), 139.98 (69), 167.98 (41), 107.09 (35), 102.97 (25), 93.07 (22), 109.07 (16.85), 121.07 (16)
H38.46C9H9O3N165.05572165.05527−2.711121.06 (100), 165.05 (22), 119.05 (10), 147.04 (10), 93.03 (0.4)
8.49C9H11O3P167.07027167.070451.073120.08 (100), 139.98 (60), 167.98 (34), 107.09 (32), 93.07 (20), 167.06 (18), 109.07 (18)
H414.04C9H9O3N165.05572165.05504−4.105121.06 (100), 119.05 (63), 165.05 (30), 147.04 (13), 93.03 (4)
14.03C9H11O3P167.07027167.070400.774120.08 (100), 139.98 (60), 167.98 (34), 107.09 (32), 93.07 (20), 109.07 (18), 167.06 (17)
H54.85C9H8NO3N178.05097178.05054−2.395134.06 (100), 178.05 (65), 160.04 (1), 121.03 (1), 102.03 (1), 77.04 (0.3)
4.84C9H10NO3P180.06552180.06580−4.534105.03 (100), 180.07 (1), 77.04 (1), 162.06 (0.1), 136.02 (0.1), 79.06 (0.1)
H61.10C9H9O3P165.05462165.054821.208123.04 (100), 119.05 (38), 95.05 (30), 147.04 (18), 103.05 (3), 121.07 (2)
H75.73C9H9O3P165.05462165.054951.995165.05 (100), 137.06 (13), 109.07 (9), 95.05 (6)
H89.06C9H9O3P165.05462165.054871.511165.05 (100), 120.08 (14), 137.06 (13), 109.07 (8), 95.05 (6)
H96.77C9H7O3N163.04007163.03955−3.174119.05 (100), 163.04 (13), 118.03 (1), 93.03 (1)
H108.15C9H7O3N163.04007163.03954−3.235119.05 (100), 163.04 (32), 115.92 (1), 93.03 (1), 135.04 (0.5)
H112.97C7H5O3N137.02442137.02374−4.94393.03 (100), 137.02 (57), 109.03 (46), 65.01 (9), 119.02 (5)
H129.38C7H5O3N137.02442137.02373−1.01493.03 (100), 137.02 (36), 109.03 (24), 119.02 (5)
H1311.78C9H9O2N149.06080149.06003−1.506149.06 (100), 121.03 (25), 91.03 (2), 119.05 (2), 105.04 (2)
Note: tR: retention time; P: positive ion mode; N: negative ion mode; *: standard substance; √: metabolite was detected; P-S: plasma—SPF solid phase extraction method; P-M: plasma—methanol precipitation; P-A: plasma—acetonitrile precipitation; U: urine; F: feces; L: liver tissue; LM: liver microsome.
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Cui, Y.-F.; Zhang, W.-W.; Li, Y.-N.; Xu, J.; Lan, X.-M.; Song, S.-Y.; Lin, Y.-Q.; Dai, L.; Zhang, J.-Y. The Analytical Strategy of “Ion Induction and Deduction Based on Net-Hubs” for the Comprehensive Characterization of Naringenin Metabolites In Vivo and In Vitro Using a UHPLC-Q-Exactive Orbitrap Mass Spectrometer. Molecules 2022, 27, 7282. https://doi.org/10.3390/molecules27217282

AMA Style

Cui Y-F, Zhang W-W, Li Y-N, Xu J, Lan X-M, Song S-Y, Lin Y-Q, Dai L, Zhang J-Y. The Analytical Strategy of “Ion Induction and Deduction Based on Net-Hubs” for the Comprehensive Characterization of Naringenin Metabolites In Vivo and In Vitro Using a UHPLC-Q-Exactive Orbitrap Mass Spectrometer. Molecules. 2022; 27(21):7282. https://doi.org/10.3390/molecules27217282

Chicago/Turabian Style

Cui, Yi-Fang, Wen-Wen Zhang, Ya-Nan Li, Jing Xu, Xian-Ming Lan, Shu-Yi Song, Yong-Qiang Lin, Long Dai, and Jia-Yu Zhang. 2022. "The Analytical Strategy of “Ion Induction and Deduction Based on Net-Hubs” for the Comprehensive Characterization of Naringenin Metabolites In Vivo and In Vitro Using a UHPLC-Q-Exactive Orbitrap Mass Spectrometer" Molecules 27, no. 21: 7282. https://doi.org/10.3390/molecules27217282

APA Style

Cui, Y. -F., Zhang, W. -W., Li, Y. -N., Xu, J., Lan, X. -M., Song, S. -Y., Lin, Y. -Q., Dai, L., & Zhang, J. -Y. (2022). The Analytical Strategy of “Ion Induction and Deduction Based on Net-Hubs” for the Comprehensive Characterization of Naringenin Metabolites In Vivo and In Vitro Using a UHPLC-Q-Exactive Orbitrap Mass Spectrometer. Molecules, 27(21), 7282. https://doi.org/10.3390/molecules27217282

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