Metabolomics Strategy Using High Resolution Mass Spectrometry Reveals Novel Biomarkers and Pain-Relief Effect of Traditional Chinese Medicine Prescription Wu-Zhu-Yu Decoction Acting on Headache Modelling Rats

Liu, Ran; Xu, Huarong; Zhang, Xiaowen; Wang, Xiaotong; Zhi-qiang, Yang; Sui, Zhenyu; Wang, Dong; Bi, Kaishun; Li, Qing

doi:10.3390/molecules22122110

Cited by 10 publications

(10 citation statements)

References 27 publications

(27 reference statements)

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“…Currently, data suggest that metabolic changes are relevant to many diseases, and metabolites obtained from accessible samples such as urine or plasma may serve as potential biomarkers for diagnosis of chronic inflammatory pain in the clinic (Liu et al, 2017a; Liu et al, 2017b). The spinal cord is the primary center of transmission signals.…”

Section: Discussionmentioning

confidence: 99%

The related mechanism of complete Freund's adjuvant‐induced chronic inflammation pain based on metabolomics analysis

Zhang

Jie

et al. 2021

Biomedical Chromatography

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Chronic inflammation pain is a debilitating disease, and its mechanism still remains poorly understood. This study attempted to illuminate the metabolic mechanism of chronic inflammation pain induced by complete Freund’s adjuvant (CFA) injection, especially at spinal level. The chronic inflammation pain model was established by CFA administration. Behavioral testing including mechanical allodynia and thermal hyperalgesia was performed. Meanwhile, a liquid chromatography–mass spectrometry‐based metabolomics approach was applied to analyze potential metabolic biomarkers. The orthogonal partial least squares discrimination analysis mode was employed for determining metabolic changes, and a western blot was performed to detect the protein expression change. The results showed that 27 metabolites showed obviously abnormal expression and seven metabolic pathways were significantly enriched, comprising aminoacyl‐tRNA biosynthesis, arginine and proline metabolism, histidine metabolism, purine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, glutathione metabolism, and phenylalanine metabolism. Meanwhile, the results showed that the expression of arginase I and nitric oxide levels were elevated in the CFA group compared with the control group, while the argininosuccinate synthetase and argininosuccinatelyase proteins were not significantly different between the groups. These findings demonstrate that metabolic changes of the spinal cord may be implicated in neurotransmitter release and pain conductivity following CFA administration.

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Section: Discussionmentioning

confidence: 99%

The related mechanism of complete Freund's adjuvant‐induced chronic inflammation pain based on metabolomics analysis

Zhang

Jie

et al. 2021

Biomedical Chromatography

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“…Experimental studies and randomized controlled trials have reported that it is useful when treating headache. 43 , 44 This formula also has an anti-emetic effect when tested using animal models. 45 Thus, TCM physicians may be using Wu-Zhu-Yu-Tang to treat the physical symptoms of DD, including headache and nausea, rather than the depression itself.…”

Section: Discussionmentioning

confidence: 99%

Core prescription pattern of Chinese herbal medicine for depressive disorders in Taiwan: A nationwide population-based study

Tran¹,

Hwang

Chen

et al. 2021

Integrative Medicine Research

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Background Depressive disorders (DD) affect not only mood and behavior but also various physical functions. Traditional Chinese medicine (TCM) has been shown to have some benefits in treating DD. However, one formula or one single herb might be not show high efficacy when used to treat depression. Thus, this study aimed to examine the core prescription pattern of Chinese herbal medicine (CHM) among patients with DD in Taiwan as a reference for related research and clinical applications. Methods All patients, who had been diagnosed with major depressive disorder or minor depression or dysthymia without any other baseline diseases and had at least one CHM outpatient clinical visit from 2002 to 2011, were extracted from three randomly sampled cohorts, namely the 2000, 2005 and 2010 cohorts of the National Health Insurance Research Database (NHIRD) of Taiwan. The collected data was analyzed to explore the patterns of herbal products. Results There were 197,146 patients with a diagnosis of DD and of these 1806 subjects had only a diagnosis of DD and utilized CHM. The most common formula was Gan-Mai-Da-Zao-Tang (12.19%), while Suan-Zao-Ren (3.99%) was the most commonly prescribed single herb. The core pattern of prescriptions consisted of a combination of Gan-Mai-Da-Zao-Tang, Jia-Wei-Xiao-Yao-San, Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, He-Huan-Pi, Yuan-Zhi and Shi-Chang-Pu . Conclusions This study describes the CHM core prescription pattern used to treat patients in Taiwan with DD and it is a potential candidate for study in future pharmacological or clinical trials targeting DD.

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“…The R 2 and Q 2 ranged between 0 and 1, with 1 representing perfect fit and predictive ability, respectively [ 35 ]. The pathways of the metabolites identified in this study were illustrated using the MetaboAnalyst 4.0 program, based on metabolic pathways in the high-quality Kyoto Encyclopaedia of Genes and Genomes (KEGG) [ 36 , 37 ].…”

Section: Methodsmentioning

confidence: 99%

A Pharmacometabolomic Approach to Predict Response to Metformin in Early-Phase Type 2 Diabetes Mellitus Patients

Park

Jeong²,

Lee

et al. 2018

Molecules

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Metformin is a first-line medication for type 2 diabetes mellitus (T2DM). Based on its universal use, the consideration of inter-individual variability and development of predictive biomarkers are clinically significant. We aimed to identify endogenous markers of metformin responses using a pharmacometabolomic approach. Twenty-nine patients with early-phase T2DM were enrolled and orally administered metformin daily for 6 months. A total of 22 subjects were included in the final analysis. Patients were defined as responders or non-responders based on changes in their glycated haemoglobin A1c (HbA1c) from baseline, over 3 months. Urine metabolites at baseline, as well as at the 3 and 6 month follow-ups after the start of treatment were analysed using gas chromatography-mass spectrometry and evaluated with multivariate analyses. Metabolites distinguishable between the two response groups were obtained at baseline, as well as at the 3 and 6 month follow-ups, and significantly different metabolites were listed as markers of metformin response. Among the identified metabolites, citric acid, myoinositol, and hippuric acid levels showed particularly significant differences between the non-responder and responder groups. We thus identified different metabolite profiles in the two groups of T2DM patients after metformin administration, using pharmacometabolomics. These results might facilitate a better understanding and prediction of metformin response and its variability in individual patients.

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Metabolomics Strategy Using High Resolution Mass Spectrometry Reveals Novel Biomarkers and Pain-Relief Effect of Traditional Chinese Medicine Prescription Wu-Zhu-Yu Decoction Acting on Headache Modelling Rats

Cited by 10 publications

References 27 publications

The related mechanism of complete Freund's adjuvant‐induced chronic inflammation pain based on metabolomics analysis

The related mechanism of complete Freund's adjuvant‐induced chronic inflammation pain based on metabolomics analysis

Core prescription pattern of Chinese herbal medicine for depressive disorders in Taiwan: A nationwide population-based study

A Pharmacometabolomic Approach to Predict Response to Metformin in Early-Phase Type 2 Diabetes Mellitus Patients

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