Saccharum Granorum ameliorated mitochondrial dysfunction in chronic atrophic gastritis rats using organelle-specific metabolomics and network pharmacology approaches

Li, Xin-Qi; Qin, Xuemei

doi:10.1016/j.foodres.2020.109503

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…Accumulating evidence has demonstrated that network pharmacology is an attractive tool to predict the interactions between multiple components and multiple targets in the botanical drugs ( Li and Zhang, 2013 ). In recent years, many researchers have successfully applied network pharmacology to discover the molecular mechanisms ( Ma et al, 2019 ; Liu et al, 2020 ). Nonetheless, network pharmacology is limited by the integrity and reliability of the public databases ( Zhou et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Reveal the Antimigraine Mechanism of Chuanxiong Rhizoma and Cyperi Rhizoma Based on the Integrated Analysis of Metabolomics and Network Pharmacology

Zhu

Wang

et al. 2022

Front. Pharmacol.

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Migraine is a common neurological disorder that manifests as recurrent attacks of unilateral and throbbing headache. Conioselinum anthriscoides “Chuanxiong” (Apiaceae; Chuanxiong rhizoma) and Cyperus rotundus L. (Cyperaceae; Cyperi rhizoma) (CRCR), is a classic prescription for treating migraine. This study aimed to reveal the potential mechanisms of CRCR extract against migraine using integrated analysis of metabolomics and network pharmacology. Behavioral changes in the nitroglycerin rat migraine model were determined from von Frey withdrawal response. Untargeted serum metabolomics was used to identify the differentially expressed metabolites and metabolic pathways. The differentially expressed metabolites were analyzed to obtain the corresponding targets by a compound–reaction–enzyme–gene network. Network pharmacology was used to construct a compound–target–pathway network. The common targets of metabolomics and network pharmacology were further analyzed. Metabolomics analysis identified 96 differentially expressed metabolites and 77 corresponding targets. Network pharmacology analysis identified 201 potential targets for CRCR against migraine. By intersecting 77 targets with 201 targets, monoamine oxidase A (MAO-A), monoamine oxidase B (MAO-B), and catechol-O-methyltransferase (COMT) were identified as the common targets, and MAO-A, MAO-B, and COMT were involved in the tyrosine metabolism pathway. Further experiments demonstrated that the contents of MAO-A and COMT were significantly increased in serum and brainstem tissue of the migraine rats. CRCR extract significantly decreased the contents of MAO-A and COMT, while no significant difference was found in MAO-B. Metabolomics analysis indicated that the contents of 3,4-dihydroxyphenylacetate (DOPAC) and 3-(4-hydroxyphenyl)pyruvate (HPP) were significantly increased in the migraine rats, and CRCR extract caused significant decreases in DOPAC and HPP. Interestingly, DOPAC and HPP were two differentially expressed metabolites involved in the tyrosine metabolism pathway. Correlation analysis showed that DOPAC and HPP were highly positively correlated with MAO-A and COMT. Taken together, two key differentially expressed metabolites (DOPAC and HPP), two key targets (MAO-A and COMT), and one relevant metabolic pathway (tyrosine metabolism) showed great importance in the treatment of migraine. This research could provide a new understanding of the potential mechanism of CRCR against migraine. More attentions should be paid into the tyrosine metabolism pathway in future studies.

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Section: Discussionmentioning

confidence: 99%

Reveal the Antimigraine Mechanism of Chuanxiong Rhizoma and Cyperi Rhizoma Based on the Integrated Analysis of Metabolomics and Network Pharmacology

Zhu

Wang

et al. 2022

Front. Pharmacol.

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“…After 1 week of adaptation, 24 rats were randomly divided into four groups according to body weight: the control group (C), the model group (M), the control administration group (C‐HQJZ) and the model administration group (M‐HQJZ) ( n = 6). Among them, the C and C‐HQJZ groups fed and drank freely during the experiment, and the M and M‐HQJZ groups were used to replicate the chronic atrophic gastritis model (Liu, Li, & Qin, 2020). The model was carried out according to the following replication cycle lasting for 8 weeks: 0.1% ammonia and 20 mmol/l sodium deoxycholate solution were freely drunk on alternate days; the simulation of hunger and satiety disorder was 2 days for free diet and a day of fasting, repeated.…”

Section: Methodsmentioning

confidence: 99%

Integrated pharmacokinetics of Huangqi Jianzhong Tang in normal and chronic atrophic gastritis rats

Jia

Qin

2022

Biomedical Chromatography

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Huangqi Jianzhong Tang (HQJZ) is a famous traditional Chinese medicine formula widely used in the treatment of gastrointestinal diseases in China. In this study, an ultra‐performance liquid chromatography–mass spectrometry (UHPLC–MS/MS) was used to study the pharmacokinetics of 12 prototypical components and one metabolite in HQJZ in normal and chronic atrophic gastritis rats. The results showed that the area under the concentration–time curve and peak concentration of most flavonoids and flavonoid glycosides were decreased, and the half‐life and mean residence time were significantly increased, which indicated that the absorption of drugs in disease was decreased less and for longer in vivo. Then, an integrated pharmacokinetic study was carried out using the pharmacokinetic parameter model integration of each component. The results showed that the absorption of drugs in vivo with disease was reduced, and the absorption speed of flavonoids and flavonoid glycosides was accelerated. This study will provide the basis for the clinical medication safety of HQJZ.

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“…Liquid chromatography–mass spectrometry (LC-MS) has been widely used for tissue or cell metabolomic analysis. − However, its application in subcellular metabolomics is challenging. First, the subcellular sample amount is limited. , A substantial amount of cells or tissues are typically required to obtain sufficient quantities of organelles that can meet the requirements for LC-MS analysis.…”

Section: Introductionmentioning

confidence: 99%

High-Coverage Strategy for Multi-Subcellular Metabolome Analysis Using Dansyl-Labeling-Based LC-MS/MS

et al. 2023

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Subcellular compartmentalization ensures orderly and efficient intracellular metabolic activities in eukaryotic life. Investigation of the subcellular metabolome could provide in-depth insight into cellular biological activities. However, the sensitive measurement of multi-subcellular metabolic profiles is still a significant challenge. Herein, we present a comprehensive subcellular fractionation, characterization, and metabolome analysis strategy. First, six subcellular fractions including nuclei, mitochondria, lysosomes, peroxisomes, microsomes, and cytoplasm were generated from a single aliquot of liver homogenate. Then, a dansyl-labeling-assisted liquid chromatography−tandem mass spectrometry (LC-MS/MS) method for measuring 151 amino/ phenol-or carboxyl-containing metabolites in the subcellular fractions was established and validated. Last, the strategy was applied to a rat model of carbon tetrachloride (CCl 4 )-induced acute liver injury (ALI). The metabolic profile of individual organelles was compared with that of the liver. Interestingly, many unique changes were observed specifically in organelles, while the liver failed to capture these changes. This result indicates that metabolic investigation at the tissue level might lead to erroneous results due to the leveling effect. Our study demonstrates a feasible approach for the broad-spectrum-targeted metabolic profiling of multi-subcellular fractions, which can be of great use in driving our further understanding of intracellular metabolic activities in various physical and pathological conditions.

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Saccharum Granorum ameliorated mitochondrial dysfunction in chronic atrophic gastritis rats using organelle-specific metabolomics and network pharmacology approaches

Cited by 9 publications

References 20 publications

Reveal the Antimigraine Mechanism of Chuanxiong Rhizoma and Cyperi Rhizoma Based on the Integrated Analysis of Metabolomics and Network Pharmacology

Reveal the Antimigraine Mechanism of Chuanxiong Rhizoma and Cyperi Rhizoma Based on the Integrated Analysis of Metabolomics and Network Pharmacology

Integrated pharmacokinetics of Huangqi Jianzhong Tang in normal and chronic atrophic gastritis rats

High-Coverage Strategy for Multi-Subcellular Metabolome Analysis Using Dansyl-Labeling-Based LC-MS/MS

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