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Ma X, Qiu Y, Mao M, Lu B, Zhao H, Pang Z, Li S. PuRenDan alleviates type 2 diabetes mellitus symptoms by modulating the gut microbiota and its metabolites. JOURNAL OF ETHNOPHARMACOLOGY 2024; 322:117627. [PMID: 38147943 DOI: 10.1016/j.jep.2023.117627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/06/2023] [Accepted: 12/19/2023] [Indexed: 12/28/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE PuRenDan (PRD) is a traditional Chinese medicine formula comprising five herbs that have been traditionally used to treat type 2 diabetes mellitus (T2DM). While PRD has been shown to be effective in treating T2DM in clinical and animal studies, the mechanisms by which it works on the gut microbiome and metabolites related to T2DM are not well understood. AIM OF THE STUDY The objective of this study was to partially elucidate the mechanism of PRD in treating T2DM through analyses of the gut microbiota metagenome and metabolome. MATERIALS AND METHODS Sprague-Dawley rats were fed high-fat diets (HFDs) and injected with low-dose streptozotocin (STZ) to replicate T2DM models. Then the therapeutic effects of PRD were evaluated by measuring clinical markers such as blood glucose, insulin resistance (IR), lipid metabolism biomarkers (total cholesterol, low-density lipoprotein, non-esterified fatty acids, and triglycerides), and inflammatory factors (tumor necrosis factor alpha, interleukin-6 [IL-6], interferon gamma, and IL-1β). Colon contents were collected, and metagenomics, combined with ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry metabolic profiling, was performed to evaluate the effects of T2DM and PRD on gut microbiota and its metabolites in rats. Spearman analysis was used to calculate the correlation coefficient among different microbiota, clinical indices, and metabolites. RESULTS PRD exhibited significant improvement in blood glucose and IR, and reduced serum levels of lipid metabolism biomarkers and inflammatory factors. Moreover, the diversity and abundance of gut microbiota undergo significant changes in rats with T2DM that PRD was able to reverse. The gut microbiota associated with T2DM including Rickettsiaceae bacterium 4572_127, Psychrobacter pasteurii, Parabacteroides sp. CAG409, and Paludibacter propionicigenes were identified. The gut microbiota most closely related to PRD were Prevotella sp. 10(H), Parabacteroides sp. SN4, Flavobacteriales bacterium, Bacteroides massiliensis, Alistipes indistinctus, and Ruminococcus flavefaciens. Additionally, PRD regulated the levels of gut microbiota metabolites including pantothenic acid, 1-Methylhistamine, and 1-Methylhistidine; these affected metabolites were involved in pantothenate and coenzyme A biosynthesis, histidine metabolism, and secondary bile acid biosynthesis. Correlation analysis illustrated a close relationship among gut microbiota, its metabolites, and T2DM-related indexes. CONCLUSION Our study provides insights into the gut microbiota and its metabolites of PRD therapy for T2DM. It clarifies the role of gut microbiota and the metabolites in the pathogenesis of T2DM, highlighting the potential of PRD for the treatment of this disease.
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Affiliation(s)
- Xiaoqin Ma
- School of Pharmacy, Minzu University of China, Key Laboratory of Ethnomedicine (Minzu University of China), Minority of Education, Beijing, 100081, PR China.
| | - Yuqing Qiu
- School of Pharmacy, Minzu University of China, Key Laboratory of Ethnomedicine (Minzu University of China), Minority of Education, Beijing, 100081, PR China.
| | - Minghui Mao
- School of Pharmacy, Minzu University of China, Key Laboratory of Ethnomedicine (Minzu University of China), Minority of Education, Beijing, 100081, PR China.
| | - Binan Lu
- School of Pharmacy, Minzu University of China, Key Laboratory of Ethnomedicine (Minzu University of China), Minority of Education, Beijing, 100081, PR China.
| | - Huanhu Zhao
- School of Pharmacy, Minzu University of China, Key Laboratory of Ethnomedicine (Minzu University of China), Minority of Education, Beijing, 100081, PR China.
| | - Zongran Pang
- School of Pharmacy, Minzu University of China, Key Laboratory of Ethnomedicine (Minzu University of China), Minority of Education, Beijing, 100081, PR China.
| | - Shuchun Li
- School of Pharmacy, Minzu University of China, Key Laboratory of Ethnomedicine (Minzu University of China), Minority of Education, Beijing, 100081, PR China.
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Li J, Zhu N, Wang Y, Bao Y, Xu F, Liu F, Zhou X. Application of Metabolomics and Traditional Chinese Medicine for Type 2 Diabetes Mellitus Treatment. Diabetes Metab Syndr Obes 2023; 16:4269-4282. [PMID: 38164418 PMCID: PMC10758184 DOI: 10.2147/dmso.s441399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 11/21/2023] [Indexed: 01/03/2024] Open
Abstract
Diabetes is a major global public health problem with high incidence and case fatality rates. Traditional Chinese medicine (TCM) is used to help manage Type 2 Diabetes Mellitus (T2DM) and has steadily gained international acceptance. Despite being generally accepted in daily practice, the TCM methods and hypotheses for understanding diseases lack applicability in the current scientific characterization systems. To date, there is no systematic evaluation system for TCM in preventing and treating T2DM. Metabonomics is a powerful tool to predict the level of metabolites in vivo, reveal the potential mechanism, and diagnose the physiological state of patients in time to guide the follow-up intervention of T2DM. Notably, metabolomics is also effective in promoting TCM modernization and advancement in personalized medicine. This review provides updated knowledge on applying metabolomics to TCM syndrome differentiation, diagnosis, biomarker discovery, and treatment of T2DM by TCM. Its application in diabetic complications is discussed. The combination of multi-omics and microbiome to fully elucidate the use of TCM to treat T2DM is further envisioned.
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Affiliation(s)
- Jing Li
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, People’s Republic of China
| | - Na Zhu
- Clinical Trial Research Center, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Central Hospital, Qingdao, People’s Republic of China
| | - Yaqiong Wang
- Clinical Trial Research Center, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Central Hospital, Qingdao, People’s Republic of China
| | - Yanlei Bao
- Department of Pharmacy, Liaoyuan People’s Hospital, Liaoyuan, People’s Republic of China
| | - Feng Xu
- Clinical Trial Research Center, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Central Hospital, Qingdao, People’s Republic of China
| | - Fengjuan Liu
- Clinical Trial Research Center, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Central Hospital, Qingdao, People’s Republic of China
| | - Xuefeng Zhou
- Clinical Trial Research Center, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Central Hospital, Qingdao, People’s Republic of China
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Characterizing the Mechanisms of Metalaxyl, Bronopol and Copper Sulfate against Saprolegnia parasitica Using Modern Transcriptomics. Genes (Basel) 2022; 13:genes13091524. [PMID: 36140692 PMCID: PMC9498376 DOI: 10.3390/genes13091524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 08/23/2022] [Accepted: 08/23/2022] [Indexed: 11/17/2022] Open
Abstract
Saprolegniasis, which is caused by Saprolegnia parasitica, leads to considerable economic losses. Recently, we showed that metalaxyl, bronopol and copper sulfate are good antimicrobial agents for aquaculture. In the current study, the efficacies of metalaxyl, bronopol and copper sulfate are evaluated by in vitro antimicrobial experiments, and the mechanism of action of these three antimicrobials on S. parasitica is explored using transcriptome technology. Finally, the potential target genes of antimicrobials on S. parasitica are identified by protein–protein interaction network analysis. Copper sulfate had the best inhibitory effect on S. parasitica, followed by bronopol. A total of 1771, 723 and 2118 DEGs upregulated and 1416, 319 and 2161 DEGs downregulated S. parasitica after three drug treatments (metalaxyl, bronopol and copper sulfate), separately. Additionally, KEGG pathway analysis also determined that there were 17, 19 and 13 significantly enriched metabolic pathways. PPI network analysis screened out three important proteins, and their corresponding genes were SPRG_08456, SPRG_03679 and SPRG_10775. Our results indicate that three antimicrobials inhibit S. parasitica growth by affecting multiple biological functions, including protein synthesis, oxidative stress, lipid metabolism and energy metabolism. Additionally, the screened key genes can be used as potential target genes of chemical antimicrobial drugs for S. parasitica.
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Zhou Y, Zhao R, Lyu Y, Shi H, Ye W, Tan Y, Li R, Xu Y. Serum and Amniotic Fluid Metabolic Profile Changes in Response to Gestational Diabetes Mellitus and the Association with Maternal-Fetal Outcomes. Nutrients 2021; 13:3644. [PMID: 34684645 PMCID: PMC8539410 DOI: 10.3390/nu13103644] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/15/2021] [Accepted: 10/15/2021] [Indexed: 11/25/2022] Open
Abstract
This study was designed to identify serum and amniotic fluid (AF) metabolic profile changes in response to gestational diabetes mellitus (GDM) and explore the association with maternal-fetal outcomes. We established the GDM rat models by combining a high-fat diet (HFD) with an injection of low-dose streptozotocin (STZ), detected the fasting plasma glucose (FPG) of pregnant rats in the second and third trimester, and collected AF and fetal rats by cesarean section on gestational day 19 (GD19), as well as measuring the weight and crown-rump length (CRL) of fetal rats. We applied liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the untargeted metabolomics analyses of serum and AF samples and then explored their correlation with maternal-fetal outcomes via the co-occurrence network. The results showed that 91 and 68 metabolites were upregulated and 125 and 78 metabolites were downregulated in serum and AF samples exposed to GDM, respectively. In maternal serum, the obvious alterations emerged in lipids and lipid-like molecules, while there were great changes in carbohydrate and carbohydrate conjugates, followed by amino acids, peptides, and analogs in amniotic fluid. The altered pathways both in serum and AF samples were amino acid, lipid, nucleotide, and vitamin metabolism pathways. In response to GDM, changes in the steroid hormone metabolic pathway occurred in serum, and an altered carbohydrate metabolism pathway was found in AF samples. Among differential metabolites in two kinds of samples, there were 34 common biochemicals shared by serum and AF samples, and a mutual significant association existed. These shared differential metabolites were implicated in several metabolism pathways, including choline, tryptophan, histidine, and nicotinate and nicotinamide metabolism, and among them, N1-methyl-4-pyridone-3-carboxamide, 5'-methylthioadenosine, and kynurenic acid were significantly associated with both maternal FPG and fetal growth. In conclusion, serum and AF metabolic profiles were remarkably altered in response to GDM. N1-Methyl-4-pyridone-3-carboxamide, 5'-methylthioadenosine, and kynurenic acid have the potential to be taken as biomarkers for maternal-fetal health status of GDM. The common and inter-related differential metabolites both in the serum and AF implied the feasibility of predicting fetal health outcomes via detecting the metabolites in maternal serum exposed to GDM.
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Affiliation(s)
- Yalin Zhou
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, NO.38 Xueyuan Road, Beijing 100083, China; (Y.Z.); (R.Z.); (Y.L.); (H.S.); (W.Y.); (Y.T.); (R.L.)
- PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, NO.38 Xueyuan Road, Beijing 100083, China
| | - Runlong Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, NO.38 Xueyuan Road, Beijing 100083, China; (Y.Z.); (R.Z.); (Y.L.); (H.S.); (W.Y.); (Y.T.); (R.L.)
- PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, NO.38 Xueyuan Road, Beijing 100083, China
| | - Ying Lyu
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, NO.38 Xueyuan Road, Beijing 100083, China; (Y.Z.); (R.Z.); (Y.L.); (H.S.); (W.Y.); (Y.T.); (R.L.)
- PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, NO.38 Xueyuan Road, Beijing 100083, China
| | - Hanxu Shi
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, NO.38 Xueyuan Road, Beijing 100083, China; (Y.Z.); (R.Z.); (Y.L.); (H.S.); (W.Y.); (Y.T.); (R.L.)
- PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, NO.38 Xueyuan Road, Beijing 100083, China
| | - Wanyun Ye
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, NO.38 Xueyuan Road, Beijing 100083, China; (Y.Z.); (R.Z.); (Y.L.); (H.S.); (W.Y.); (Y.T.); (R.L.)
- PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, NO.38 Xueyuan Road, Beijing 100083, China
| | - Yuwei Tan
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, NO.38 Xueyuan Road, Beijing 100083, China; (Y.Z.); (R.Z.); (Y.L.); (H.S.); (W.Y.); (Y.T.); (R.L.)
- PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, NO.38 Xueyuan Road, Beijing 100083, China
| | - Rui Li
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, NO.38 Xueyuan Road, Beijing 100083, China; (Y.Z.); (R.Z.); (Y.L.); (H.S.); (W.Y.); (Y.T.); (R.L.)
- PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, NO.38 Xueyuan Road, Beijing 100083, China
| | - Yajun Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, NO.38 Xueyuan Road, Beijing 100083, China; (Y.Z.); (R.Z.); (Y.L.); (H.S.); (W.Y.); (Y.T.); (R.L.)
- PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, NO.38 Xueyuan Road, Beijing 100083, China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, NO.38 Xueyuan Road, Beijing 100083, China
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Metabolomic Approaches to Investigate the Effect of Metformin: An Overview. Int J Mol Sci 2021; 22:ijms221910275. [PMID: 34638615 PMCID: PMC8508882 DOI: 10.3390/ijms221910275] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 09/21/2021] [Accepted: 09/22/2021] [Indexed: 12/13/2022] Open
Abstract
Metformin is the first-line antidiabetic drug that is widely used in the treatment of type 2 diabetes mellitus (T2DM). Even though the various therapeutic potential of metformin treatment has been reported, as well as the improvement of insulin sensitivity and glucose homeostasis, the mechanisms underlying those benefits are still not fully understood. In order to explain the beneficial effects on metformin treatment, various metabolomics analyses have been applied to investigate the metabolic alterations in response to metformin treatment, and significant systemic metabolome changes were observed in biofluid, tissues, and cells. In this review, we compare the latest metabolomic research including clinical trials, animal models, and in vitro studies comprehensively to understand the overall changes of metabolome on metformin treatment.
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Establishment and Validation of a Liquid Chromatography-Tandem Mass Spectrometry Method for the Determination of Tigecycline in Critically Ill Patients. Int J Anal Chem 2020; 2020:6671392. [PMID: 33456470 PMCID: PMC7785388 DOI: 10.1155/2020/6671392] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 12/03/2020] [Indexed: 12/23/2022] Open
Abstract
Utilizing tigecycline-d9 as an internal standard (IS), we establish and validate a simple, effective, and rapid liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the quantitative measurement of tigecycline (TGC) in patient plasma. Acetonitrile was used as a precipitant to process plasma samples by a protein precipitation method. The analyte and IS were separated on an HSS T3 (2.1 × 100 mm, 3.5 μm) chromatographic column using isocratic program with a mobile phase comprising of 80% solvent A (water containing 0.1% formic acid (v/v) with 5 mM ammonium acetate) and 20% solvent B (acetonitrile) with a flow rate of 0.3 mL/min. The mass spectrometer, scanning in multireaction monitoring (MRM) mode and using an electrospray ion source (ESI), operated in the positive-ion mode. The ion pairs used for quantitative analysis were m/z 586.4 ⟶ 513.3 and m/z 595.5 ⟶ 514.3 for TGC and the IS, respectively. The range of the linear calibration curve obtained with this approach was 50–5000 ng/ml. Intra- and interbatch precision for TGC quantitation were less than 7.2%, and the accuracy ranged from 93.4 to 101.8%. The IS-normalized matrix effect was 87 to 104%. Due to its high precision and accuracy, this novel method allows for fast quantitation of TGC with a total analysis time of 2 min. This approach was effectively applied to study the pharmacokinetics of TGC in critically ill adult patients.
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