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Lu J, Qin H, Liang L, Fang J, Hao K, Song Y, Sun T, Hui G, Xie Y, Zhao Y. Yam protein ameliorates cyclophosphamide-induced intestinal immunosuppression by regulating gut microbiota and its metabolites. Int J Biol Macromol 2024:135415. [PMID: 39245119 DOI: 10.1016/j.ijbiomac.2024.135415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 08/21/2024] [Accepted: 09/05/2024] [Indexed: 09/10/2024]
Abstract
Yam is a dual-purpose crop used in both medicine and food that is commonly used as a dietary supplement in food processing. Since yam proteins are often lost during the production of yam starch, elucidating the functionally active value of yam proteins is an important guideline for fully utilizing yam in industrial production processes. This study aimed to explore the potential protective effect of yam protein (YP) on cyclophosphamide (CTX)-induced immunosuppression in mice. The results showed that YP can reduce immune damage caused by CTX by reversing immunoglobulins (IgA, IgG and IgM), cytokines (TNF-α, IL-6, etc.) in the intestines of mice. Moreover, YPs were found to prevent CTX-induced microbiota dysbiosis by enhancing the levels of beneficial bacteria within the microbiome, such as Lactobacillus, and lowering those of Desulfovibrio_R and Helicobacter_A. Metabolomics analyses showed that YP significantly altered differential metabolites (tryptophan, etc.) and metabolic pathways (ABC transporter protein, etc.) associated with immune responses in the gut. Furthermore, important connections were noted between particular microbiomes and metabolites, shedding light on the immunoprotective effects of YPs by regulating gut flora and metabolism. These findings deepen our understanding of the functional properties of YPs and lay a solid foundation for the utilization of yam.
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Affiliation(s)
- Jiahong Lu
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Huacong Qin
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Lili Liang
- Obstetrics and Gynecology Diagnosis and Treatment Center, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130031, China
| | - Jiaqi Fang
- College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Kaiwen Hao
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Yuting Song
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Tianxia Sun
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Ge Hui
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Yunfei Xie
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Yu Zhao
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China.
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Qiu S, Cai Y, Yao H, Lin C, Xie Y, Tang S, Zhang A. Small molecule metabolites: discovery of biomarkers and therapeutic targets. Signal Transduct Target Ther 2023; 8:132. [PMID: 36941259 PMCID: PMC10026263 DOI: 10.1038/s41392-023-01399-3] [Citation(s) in RCA: 112] [Impact Index Per Article: 112.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/22/2023] Open
Abstract
Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.
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Affiliation(s)
- Shi Qiu
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China
| | - Ying Cai
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Hong Yao
- First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China
| | - Chunsheng Lin
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, 150001, China
| | - Yiqiang Xie
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Songqi Tang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Aihua Zhang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
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3
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Alsaleh M, Sithithaworn P, Khuntikeo N, Loilome W, Yongvanit P, Hughes T, O'Connor T, Andrews RH, Wadsworth CA, Williams R, Koomson L, Cox IJ, Holmes E, Taylor-Robinson SD. Urinary Metabolic Profiling of Liver Fluke-Induced Cholangiocarcinoma-A Follow-Up Study. J Clin Exp Hepatol 2023; 13:203-217. [PMID: 36950498 PMCID: PMC10025591 DOI: 10.1016/j.jceh.2022.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 11/21/2022] [Indexed: 11/28/2022] Open
Abstract
Background/Aims Global liquid chromatography mass spectrometry (LC-MS) profiling in a Thai population has previously identified a urinary metabolic signature in Opisthorchis viverrini-induced cholangiocarcinoma (CCA), primarily characterised by disturbance in acylcarnitine, bile acid, steroid, and purine metabolism. However, the detection of thousands of analytes by LC-MS in a biological sample in a single experiment potentially introduces false discovery errors. To verify these observed metabolic perturbations, a second validation dataset from the same population was profiled in a similar fashion. Methods Reverse-phase ultra-performance liquid-chromatography mass spectrometry was utilised to acquire the global spectral profile of 98 spot urine samples (from 46 healthy volunteers and 52 CCA patients) recruited from Khon Kaen, northeast Thailand (the highest incidence of CCA globally). Results Metabolites were differentially expressed in the urinary profiles from CCA patients. High urinary elimination of bile acids was affected by the presence of obstructive jaundice. The urine metabolome associated with non-jaundiced CCA patients showed a distinctive pattern, similar but not identical to published studies. A panel of 10 metabolites achieved a diagnostic accuracy of 93.4% and area under the curve value of 98.8% (CI = 96.3%-100%) for the presence of CCA. Conclusions Global characterisation of the CCA urinary metabolome identified several metabolites of biological interest in this validation study. Analyses of the diagnostic utility of the discriminant metabolites showed excellent diagnostic potential. Further larger scale studies are required to confirm these findings internationally, particularly in comparison to sporadic CCA, not associated with liver fluke infestation.
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Key Words
- ANOVA, analysis of variance
- BCAA, branched chain amino acids
- CCA, cholangiocarcinoma
- CID, collision-induced dissociation
- CT, computed tomography
- CV-ANOVA, ANOVA of cross-validated residuals
- DDA, data-dependent acquisition
- ESI −, electrospray ionisation negative mode
- ESI, electrospray ionisation
- ESI +, electro spray ionisation positive mode
- LC-MS, liquid chromatography mass spectroscopy
- MRI, magnetic resonance imaging
- NMR, nuclear magnetic resonance
- OPLS-DA, orthogonal projections to latent structures discriminant analysis
- QC, quality control
- ROC, receiver operating characteristic
- RP, reverse phase
- TOF, time of flight
- UPLC, ultra-performance liquid chromatography
- biomarkers
- cholangiocarcinoma
- dCCA, distal cholangiocarcinoma
- iCCA, intrahepatic cholangiocarcinoma
- liver fluke
- mass spectroscopy
- pCCA, perihilar cholangiocarcinoma
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Affiliation(s)
- Munirah Alsaleh
- Department of Metabolism, Digestion and Reproduction, Imperial College London, St Mary's Hospital Campus, London W2 INY, United Kingdom
| | - Paiboon Sithithaworn
- Cholangiocarcinoma Research Institute, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Narong Khuntikeo
- Cholangiocarcinoma Research Institute, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Watcharin Loilome
- Cholangiocarcinoma Research Institute, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Puangrat Yongvanit
- Cholangiocarcinoma Research Institute, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Thomas Hughes
- Department of Metabolism, Digestion and Reproduction, Imperial College London, St Mary's Hospital Campus, London W2 INY, United Kingdom
| | - Thomas O'Connor
- Department of Metabolism, Digestion and Reproduction, Imperial College London, St Mary's Hospital Campus, London W2 INY, United Kingdom
| | - Ross H. Andrews
- Department of Metabolism, Digestion and Reproduction, Imperial College London, St Mary's Hospital Campus, London W2 INY, United Kingdom
- Cholangiocarcinoma Research Institute, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Christopher A. Wadsworth
- Department of Metabolism, Digestion and Reproduction, Imperial College London, St Mary's Hospital Campus, London W2 INY, United Kingdom
| | - Roger Williams
- The Roger Williams Institute of Hepatology, Foundation for Liver Research, 111 Coldharbour Lane, London SE5 9NT, United Kingdom
- Faculty of Life Sciences & Medicine, King's College London, United Kingdom
| | - Larry Koomson
- Department of Metabolism, Digestion and Reproduction, Imperial College London, St Mary's Hospital Campus, London W2 INY, United Kingdom
| | - Isobel Jane Cox
- The Roger Williams Institute of Hepatology, Foundation for Liver Research, 111 Coldharbour Lane, London SE5 9NT, United Kingdom
- Faculty of Life Sciences & Medicine, King's College London, United Kingdom
| | - Elaine Holmes
- Department of Metabolism, Digestion and Reproduction, Imperial College London, St Mary's Hospital Campus, London W2 INY, United Kingdom
| | - Simon D. Taylor-Robinson
- Department of Metabolism, Digestion and Reproduction, Imperial College London, St Mary's Hospital Campus, London W2 INY, United Kingdom
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Dong R, Denier-Fields DN, Lu Q, Suridjan I, Kollmorgen G, Wild N, Betthauser TJ, Carlsson CM, Asthana S, Johnson SC, Zetterberg H, Blennow K, Engelman CD. Principal components from untargeted cerebrospinal fluid metabolomics associated with Alzheimer's disease biomarkers. Neurobiol Aging 2022; 117:12-23. [PMID: 35640460 PMCID: PMC9737218 DOI: 10.1016/j.neurobiolaging.2022.04.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 01/20/2022] [Accepted: 04/12/2022] [Indexed: 01/13/2023]
Abstract
Studying the correlation between cerebrospinal fluid (CSF) metabolites and the Alzheimer's Disease (AD) biomarkers may offer a window to the alterations of the brain metabolome and unveil potential biological mechanisms underlying AD. In this analysis, 308 CSF metabolites from 338 individuals of Wisconsin Registry for Alzheimer's Prevention and Wisconsin Alzheimer's Disease Research Center were included in a principal component analysis (PCA). The resulted principal components (PCs) were tested for association with CSF total tau (t-tau), phosphorylated tau (p-tau), amyloid β 42 (Aβ42), and Aβ42/40 ratio using linear regression models. Significant PCs were further tested with other CSF NeuroToolKit (NTK) and imaging biomarkers. Using a Bonferroni corrected p < 0.05, 5 PCs were significantly associated with CSF p-tau and t-tau and 3 PCs were significantly associated with CSF Aβ42. Pathway analysis suggested that these PCS were enriched in 6 pathways, including metabolism of caffeine and nicotinate and nicotinamide. This study provides evidence that CSF metabolites are associated with AD pathology through core AD biomarkers and other NTK markers and suggests potential pathways to follow up in future studies.
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Affiliation(s)
- Ruocheng Dong
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Diandra N Denier-Fields
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department Nutrition Science, University of Wisconsin-Madison, Madison, WI, USA
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | | | - Tobey James Betthauser
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M Carlsson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL, London, UK; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Corinne D Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA.
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5
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Sun Y, Wang F, Liu Y, Liu S, An Y, Xue H, Wang J, Xia F, Chen X, Cao Y. Microbiome-metabolome responses of Fuzhuan brick tea crude polysaccharides with immune-protective benefit in cyclophosphamide-induced immunosuppressive mice. Food Res Int 2022; 157:111370. [DOI: 10.1016/j.foodres.2022.111370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 11/04/2022]
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Mocan LP, Ilieș M, Melincovici CS, Spârchez M, Crăciun R, Nenu I, Horhat A, Tefas C, Spârchez Z, Iuga CA, Mocan T, Mihu CM. Novel approaches in search for biomarkers of cholangiocarcinoma. World J Gastroenterol 2022; 28:1508-1525. [PMID: 35582128 PMCID: PMC9048460 DOI: 10.3748/wjg.v28.i15.1508] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/12/2021] [Accepted: 03/06/2022] [Indexed: 02/06/2023] Open
Abstract
Cholangiocarcinoma (CCA) arises from the ductular epithelium of the biliary tree, either within the liver (intrahepatic CCA) or more commonly from the extrahepatic bile ducts (extrahepatic CCA). This disease has a poor prognosis and a growing worldwide prevalence. The poor outcomes of CCA are partially explained by the fact that a final diagnosis is challenging, especially the differential diagnosis between hepatocellular carcinoma and intrahepatic CCA, or distal CCA and pancreatic head adenocarcinoma. Most patients present with an advanced disease, unresectable disease, and there is a lack in non-surgical therapeutic modalities. Not least, there is an acute lack of prognostic biomarkers which further complicates disease management. Therefore, there is a dire need to find alternative diagnostic and follow-up pathways that can lead to an accurate result, either singlehandedly or combined with other methods. In the "-omics" era, this goal can be attained by various means, as it has been successfully demonstrated in other primary tumors. Numerous variants can reach a biomarker status ranging from circulating nucleic acids to proteins, metabolites, extracellular vesicles, and ultimately circulating tumor cells. However, given the relatively heterogeneous data, extracting clinical meaning from the inconsequential noise might become a tall task. The current review aims to navigate the nascent waters of the non-invasive approach to CCA and provide an evidence-based input to aid clinical decisions and provide grounds for future research.
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Affiliation(s)
- Lavinia-Patricia Mocan
- Department of Histology, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
| | - Maria Ilieș
- Department of Proteomics and Metabolomics, MedFUTURE Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400349, Romania
| | - Carmen Stanca Melincovici
- Department of Histology, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
| | - Mihaela Spârchez
- 2nd Pediatrics Department, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
| | - Rareș Crăciun
- 3rd Medical Department, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
- Department of Gastroenterology, "Prof. dr. Octavian Fodor" Institute for Gastroenterology and Hepatology, Cluj-Napoca 400162, Romania
| | - Iuliana Nenu
- 3rd Medical Department, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
- Department of Gastroenterology, "Prof. dr. Octavian Fodor" Institute for Gastroenterology and Hepatology, Cluj-Napoca 400162, Romania
| | - Adelina Horhat
- 3rd Medical Department, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
- Department of Gastroenterology, "Prof. dr. Octavian Fodor" Institute for Gastroenterology and Hepatology, Cluj-Napoca 400162, Romania
| | - Cristian Tefas
- 3rd Medical Department, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
- Department of Gastroenterology, "Prof. dr. Octavian Fodor" Institute for Gastroenterology and Hepatology, Cluj-Napoca 400162, Romania
| | - Zeno Spârchez
- 3rd Medical Department, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
- Department of Gastroenterology, "Prof. dr. Octavian Fodor" Institute for Gastroenterology and Hepatology, Cluj-Napoca 400162, Romania
| | - Cristina Adela Iuga
- Department of Proteomics and Metabolomics, MedFUTURE Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400349, Romania
- Department of Pharmaceutical Analysis, Faculty of Pharmacy, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
| | - Tudor Mocan
- 3rd Medical Department, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
- Department of Gastroenterology, "Prof. dr. Octavian Fodor" Institute for Gastroenterology and Hepatology, Cluj-Napoca 400162, Romania
| | - Carmen Mihaela Mihu
- Department of Histology, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania
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7
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Huang DN, Wu FF, Zhang AH, Sun H, Wang XJ. Efficacy of berberine in treatment of rheumatoid arthritis: From multiple targets to therapeutic potential. Pharmacol Res 2021; 169:105667. [PMID: 33989762 DOI: 10.1016/j.phrs.2021.105667] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/03/2021] [Accepted: 05/06/2021] [Indexed: 12/14/2022]
Abstract
Rheumatoid arthritis is a systemic autoimmune disorder involved in persistent synovial inflammation. Berberine is a nature-derived alkaloid compound with multiple pharmacological activities in different pathologies, including RA. Recent experimental studies have clarified several determinant cellular and molecular targets of BBR in RA, and provided novel evidence supporting the promising therapeutic potential of BBR to combat RA. In this review, we recapitulate the therapeutic potential of BBR and its mechanism of action in ameliorating RA, and discuss the modulation of gut microbiota by BBR during RA. Collectively, BBR might be a promising lead drug with multi-functional activities for the therapeutic strategy of RA.
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Affiliation(s)
- Dan-Na Huang
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China; National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, China
| | - Fang-Fang Wu
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, China
| | - Ai-Hua Zhang
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China
| | - Hui Sun
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China
| | - Xi-Jun Wang
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China; National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, China.
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8
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Ren L, Guo HN, Yang J, Guo XY, Wei YS, Yang Z. Dissecting Efficacy and Metabolic Characteristic Mechanism of Taxifolin on Renal Fibrosis by Multivariate Approach and Ultra-Performance Liquid Chromatography Coupled With Mass Spectrometry-Based Metabolomics Strategy. Front Pharmacol 2021; 11:608511. [PMID: 33519473 PMCID: PMC7841412 DOI: 10.3389/fphar.2020.608511] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 11/26/2020] [Indexed: 12/15/2022] Open
Abstract
Taxifolin (TFN) is an important natural compound with antifibrotic activity; however, its pharmacological mechanism is not clear. In this study, our aim is to gain insight into the effects of TFN and its potential mechanisms in unilateral ureteral obstruction (UUO) animal model using metabolomics approach to identify the metabolic biomarkers and perturbed pathways. Serum metabolomics analysis by UPLC-Q-TOF/MS was carried out to discover the changes in the metabolic profile. It showed that TFN has a significant protective effect on UUO-induced renal fibrosis and a total of 32 potential biomarkers were identified and related to RF progression. Of note, 27 biomarkers were regulated by TFN treatment, which participate in eight metabolic pathways, including phenylalanine, tyrosine and tryptophan biosynthesis, and phenylalanine metabolism. It also showed that metabolomics was a promising strategy to better dissect metabolic characteristics and pharmacological mechanisms of natural compounds by multivariate approach and ultra-performance liquid chromatography coupled with mass spectrometry.
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Affiliation(s)
- Lei Ren
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guangxi, China
| | - Hao-Nan Guo
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guangxi, China
| | - Jun Yang
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guangxi, China
| | - Xiao-Ying Guo
- Department of Clinical Laboratory, Daqing Oilfield General Hospital, Daqing, China
| | - Ye-Sheng Wei
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guangxi, China
| | - Zhao Yang
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guangxi, China
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9
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Sun YC, Han SC, Yao MZ, Wang YM, Geng LW, Wang P, Lu WH, Liu HB. High-throughput metabolomics method based on liquid chromatography-mass spectrometry: Insights into the underlying mechanisms of salinity-alkalinity exposure-induced metabolites changes in Barbus capito. J Sep Sci 2020; 44:497-512. [PMID: 33164302 DOI: 10.1002/jssc.202000861] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 11/01/2020] [Accepted: 11/04/2020] [Indexed: 01/13/2023]
Abstract
It is critical to investigate the adaptive development and the physiological mechanism of fish in external stimulation. In this study, the response of Barbus capito to salinity-alkalinity exposure was explored by high-throughput nontargeted and liquid chromatography-mass spectrometry-based metabolomics to investigate metabolic biomarker and pathway changes. Meanwhile, the biochemical indexes of Barbus capito were measured to discover the chronic impairment response to salinity-alkalinity exposures. A total of 29 tissue metabolites were determined to deciphering the endogenous metabolic changes of fishes during the different concentration salinity-alkalinity exposures environment, which were mainly involved in the key metabolism including the phenylalanine, tyrosine, and tryptophan biosynthesis, arachidonic acid metabolism, pyruvate metabolism, citrate cycle, and glycerophospholipid metabolism. Finally, we found the amino acid metabolism as key target was associated with the endogenous metabolites and metabolic pathways of Barbus capito to salinity-alkalinity exposures. In conclusion, metabolomics is a potentially powerful tool to reveal the mechanism information of fish in various exposure environments.
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Affiliation(s)
- Yan-Chun Sun
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Shi-Cheng Han
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Ming-Zhu Yao
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China.,Department of Food Science and Engineering, College of Food Science and Technology, Shanghai Ocean University, Shanghai, P. R. China
| | - Yu-Mei Wang
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Long-Wu Geng
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Peng Wang
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Wei-Hong Lu
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
| | - Hong-Bai Liu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
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10
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Du HW, Cong W, Wang B, Zhao XL, Meng XC. High-throughput metabolomic method based on liquid chromatography: high resolution mass spectrometry with chemometrics for metabolic biomarkers and pathway analysis to reveal the protective effects of baicalin on thyroid cancer. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:4139-4149. [PMID: 32776035 DOI: 10.1039/d0ay00977f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Cell metabonomics focuses on discovering metabolic biomarkers and pathway changes in cells from biological systems to obtain the cell properties and functional information under different conditions. Baicalin possesses various pharmacological activities, and plays a vital role in the oncology research field. However, the detailed mechanism of its action is still unclear. In this work, we employed ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) based non-targeted metabolomics method associated with chemometrics analysis to explore metabolic pathways and biomarkers for investigating the efficacy and pharmacological targets of baicalin against thyroid cancer cells. In addition, morphological observation, parameter calculation of cell proliferation and apoptosis were carried out, which assisted in elucidation of pharmacological activity of baicalin on the human thyroid cancer cells. The results showed that baicalin possesses an intense stimulative apoptosis and inhibits proliferation activity on SW579 human thyroid cancer cells, and partially reversed the cell metabolite abnormalities. A total of nineteen differentiated metabolites in SW579 cells were identified and deemed as potential biomarkers after the baicalin treatment, involving nine metabolic pathways, such as taurine and hypotaurine metabolism, pyrimidine metabolism, fructose and mannose metabolism, steroid hormone biosynthesis and sphingolipid metabolism. High-throughput non-targeted metabolomics provide an insight into specialized mechanism of baicalin against thyroid cancer and contributes to novel drug discovery and thyroid cancer management in clinical practice.
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Affiliation(s)
- Hong-Wei Du
- College of Pharmacy, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, Heilongjiang Province, People's Republic of China.
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11
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Zhao JF, Xu JY, Xu YE, Chen SL, Guo YX, Gao QY, Sun GC. High-Throughput Metabolomics Method for Discovering Metabolic Biomarkers and Pathways to Reveal Effects and Molecular Mechanism of Ethanol Extract From Epimedium Against Osteoporosis. Front Pharmacol 2020; 11:1318. [PMID: 32973531 PMCID: PMC7481463 DOI: 10.3389/fphar.2020.01318] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/07/2020] [Indexed: 11/24/2022] Open
Abstract
Metabolomics is an effective strategy to explore the molecular mechanism of herbal medicine. Epimedium, a traditional Chinese herb from the Epimedium brevicornu Maxim., has a therapeutic effect on osteoporosis (OP), however the molecular mechanism of the anti-OP effect is uncle\ar. Therefore, we investigated the pharmacological effect and action mechanism of ethanol extract of epimedium (Ext-epi) onOP rat model. The serum of OP rats was analyzed utilized UPLC-Q-TOF/MS metabolomics, and the potential biomarkers were screened and identified using multivariate data analysis systems and network databases. To further appraise the influence of Ext-epi on biological markers and metabolic pathways, and reveal the potential mechanism of Ext-epi on OP treatment. The results showed that 46 potential biomarkers were screened out and after intervention with Ext-epi extracts solution, 16 potential biomarkers were significantly recalled. Further pathway experiments showed that key pathway analysis include sarachidonic acid metabolism, glycerolphospholipid metabolism as potential targets which is related with the efficacy of Ext-epi protect against OP. These results explain the correlation between metabolites and molecular mechanisms, which is of great significance for understanding the intervention of Ext-epi on OP. In short, based on UPLC-Q-TOF/MS metabolomics may provide effective strategies for understanding the pathogenesis of diseases and evaluating the intervention effect of natural products.
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Affiliation(s)
- Jun-feng Zhao
- The Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China
| | - Jian-yu Xu
- The Tumor Hospital of Harbin Medical University, The Department of Radiation Oncology, The Affiliated Tumour Hospital of Harbin Medical University, Harbin, China
| | - Yi-er Xu
- The Research & Development Center of Harbin Pharmaceutical Group, The Laboratory of Pharmacology Quality Inspection & Pilotscale Experiment Workshop, Harbin, China
| | - Shui-lin Chen
- The Department of Orthopaedics, The Fourth Hospital Attached to Nanchang University, Nanchang, China
| | - Yan-xing Guo
- The Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China
| | - Quan-yang Gao
- The Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China
| | - Gui-cai Sun
- The First Affiliated Hospital of Nanchang University, Orthopaedics, Nanchang University, Nanchang, China
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12
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UPLC-MS metabolomics method provides valuable insights into the effect and underlying mechanisms of Rhizoma Drynariae protecting osteoporosis. J Chromatogr B Analyt Technol Biomed Life Sci 2020; 1152:122262. [PMID: 32682315 DOI: 10.1016/j.jchromb.2020.122262] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 06/26/2020] [Accepted: 07/05/2020] [Indexed: 01/29/2023]
Abstract
Osteoporosis (OP) is a metabolic bone disease in which that volume of bone tissue per unit volume decrease, which is a common disease disturbing the elderly or postmenopausal women. Rhizoma Drynariae (RD) is a kind of herb widely used in thousands of years of clinical practice in China to tonify kidney and prevent osteoporosis, with reliable curative effect. However, the mechanism of its anti-osteoporosis action is still unclear. This study is dedicated to exploration the therapeutic effect of RD on retinoic acid solution-induced OP model rats based on high-throughput metabolomics technology platform, and reveal its influence on metabolomics level, so as to find effective potential biomarkers and therapeutic targets for diagnosing OP. OP model was established by intragastric administration of retinoic acid solution for 21 days, and then the treatment group was treated by intragastric administration of RD solution for 60 days. Blood samples of all groups were collected and analyzed based on UPLC-MS metabolomics and combined with EZinfo 3.0 data analysis, 32 potential biomarkers were identified, including 22 in ESI+ and 10 in ESI-, these biomarkers are related to 9 metabolic pathways. After treatment with RD solution, 21 biomarkers were obviously regulated, these mainly affected linoleic acid metabolic, glycerophospholipid metabolism and arachidonic acid metabolism pathway. The results show that RD can reduce the risk of OP disease, which may be related to the metabolic pathway mentioned above, and provides the foundation for the administer prophylaxis and treatment of OP with natural products.
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13
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Zhao LK, Zhao YB, Yu PC, Zhang PX. Metabolomics approach based on utra-performance liquid chromatography coupled to mass spectrometry with chemometrics methods for high-throughput analysis of metabolite biomarkers to explore the abnormal metabolic pathways associated with myocardial dysfunction. Biomed Chromatogr 2020; 34:e4847. [PMID: 32285481 DOI: 10.1002/bmc.4847] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 03/31/2020] [Accepted: 04/06/2020] [Indexed: 12/11/2022]
Abstract
Ultra-performance liquid chromatography/mass spectrometry-based metabolomics can been used for discovery of metabolite biomarkers to explore the metabolic pathway of diseases. Identification of metabolic pathways is key to understanding the pathogenesis and mechanism of disease. Myocardial dysfunction induced by sepsis (SMD) is a severe complication of septic shock and represents major causes of death in intensive care units; however its pathological mechanism is still not clear. In this study, ultrahigh-pressure liquid chromatography with mass spectrometry-based metabolomics with chemometrics anaylsis and multivariate pattern recognition analysis were used to detect urinary metabolic profile changes in a lipopolysaccharide-induced SMD mouse model. Multivariate statistical analysis including principal component analysis and orthogonapartial least squares discriminant analysis for the discrimination of SMD was conducted to identify potential biomarkers. A total of 19 differential metabolites were discovered by high-resolution mass spectrometry-based urinary metabolomics strategy. The altered biochemical pathways based on these metabolites showed that tyrosine metabolism, phenylalanine metabolism, ubiquinone biosynthesis and vitamin B6 metabolism were closely connected to the pathological processes of SMD. Consequently, integrated chemometric analyses of these metabolic pathways are necessary to extract information for the discovery of novel insights into the pathogenesis of disease.
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Affiliation(s)
- Ling-Kun Zhao
- School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China
| | - Yun-Bo Zhao
- First Affiliated Hospital, Jiamusi University, Xiangyang District, Heilongjiang, China
| | - Peng-Cheng Yu
- College of Traditional Chinese Medicine, Jilin Agricultural University, Changchun, China
| | - Peng-Xia Zhang
- School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China
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14
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Wang XX, Yu PC, Li J. High-Throughput Metabolomics for Identification of Metabolic Pathways and Deciphering the Effect Mechanism of Dioscin on Rectal Cancer From Cell Metabolic Profiles Coupled With Chemometrics Analysis. Front Pharmacol 2020; 11:68. [PMID: 32180713 PMCID: PMC7059176 DOI: 10.3389/fphar.2020.00068] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 01/24/2020] [Indexed: 01/05/2023] Open
Abstract
High-throughput liquid chromatography-mass spectrometry (LC-MS)-based metabolomics can provide the holistic analysis of the low molecular weight endogenous metabolites in cells and reflect the changes of cellular regulation and metabolic pathways. Our study designed to reveal the potentially pharmacological effects of dioscin on SW480 rectal cancer cells using nontargeted metabolomics method to probe into small molecular metabolites and pathway changes. After the cell assay of proliferation, apoptosis, migration, and invasion, the dioscin-treated cell samples were prepared for nontargeted metabolomics analysis based on LC-MS tool to describe the metabolic profiles. Dioscin has prevented cell proliferation and accelerated cell apoptosis, and it also inhibited the SW480 rectal cancer cells' migration and invasion. A total of 22 metabolites were selected as promising biomarkers of pharmacological reaction of dioscin to rectal cancer, and eight highly correlated pathways including D-glutamine and D-glutamate metabolism, pyruvate metabolism, arachidonic acid metabolism, phenylalanine metabolism, tryptophan metabolism, glycolysis or gluconeogenesis, citrate cycle (TCA cycle), and butanoate metabolism were identified. It showed that strategies based on cell metabolomics are helpful tools to discover the small molecular metabolites to elucidate the action mechanism of drug.
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Affiliation(s)
- Xin-Xin Wang
- Heilongjiang Province Land Reclamation Headquarters General Hospital, Heilongjiang Agriculture and Reclamation Bureau, Harbin, China
| | - Peng-cheng Yu
- College of Traditional Chinese Medicine, Jilin Agricultural University, Changchun, China
| | - Jun Li
- Department of Orthopedics, The Affiliated First Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
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15
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Jiang YC, Li YF, Zhou L, Zhang DP. Comparative metabolomics unveils molecular changes and metabolic networks of syringin against hepatitis B mice by untargeted mass spectrometry. RSC Adv 2020; 10:461-473. [PMID: 35492557 PMCID: PMC9048208 DOI: 10.1039/c9ra06332c] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 12/09/2019] [Indexed: 12/18/2022] Open
Abstract
Untargeted metabolomics technology was used to discover the metabolic pathways and biomarkers for revealing the potential biological mechanism of syringin on hepatitis B virus. Serum samples were analyzed by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS)-based comparative metabolomics coupled with pattern recognition methods and network pathway. In addition, the histopathology, HBV DNA detection of liver tissue, and biochemical indicators of liver function change were also explored for investigating the antiviral effect of syringin. In comparison to the model group, the metabolic profiles of the turbulence in transgenic mice tended to recover to the same as the control group after syringin therapy. A total of 33 potential biomarkers were determined to explore the metabolic disorders in the hepatitis B animal model, of which 25 were regulated by syringin, and 8 metabolic pathways, such as phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, arachidonic acid metabolism, glyoxylate and dicarboxylate metabolism, were involved. Syringin markedly reduced the liver pathology change, inhibited HBV DNA replication, and improved liver function. Amino acid metabolism is a potential target for the treatment of hepatitis B. The hepatoprotective effect of syringin may contribute to ameliorating oxidative stress and preventing protein and DNA replication. Comparative metabolomics is a promising tool for discovering metabolic pathways and biomarkers of the hepatitis B animal model as targets to reveal the effects and mechanism of syringin, which benefits the development of natural products and advances the treatment of diseases. Untargeted metabolomics technology was used to discover the metabolic pathways and biomarkers for revealing the potential biological mechanism of syringin on hepatitis B virus.![]()
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Affiliation(s)
- Yi-chang Jiang
- Third Department of Orthopedics
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Yuan-feng Li
- Third Department of Orthopedics
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Ling Zhou
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Da-peng Zhang
- Third Department of Orthopedics
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
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16
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Li WX, Zhang AH, Zhou XH, Nan Y, Liu Q, Sun H, Fang H, Wang XJ. High-throughput liquid chromatography mass-spectrometry-driven lipidomics discover metabolic biomarkers and pathways as promising targets to reveal the therapeutic effects of the Shenqi pill. RSC Adv 2020; 10:2347-2358. [PMID: 35494613 PMCID: PMC9048437 DOI: 10.1039/c9ra07621b] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 12/30/2019] [Indexed: 11/21/2022] Open
Abstract
Lipidomics, a branch of metabonomics, could provide a powerful technique for discovery of lipid molecules to reveal disease status and drug efficacy.
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Affiliation(s)
- Wen-xiu Li
- Engineering Research Center of Efficacy Evaluation and Industrial Development of TCM Classic Formulae of the Ministry of Education
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
| | - Ai-hua Zhang
- Engineering Research Center of Efficacy Evaluation and Industrial Development of TCM Classic Formulae of the Ministry of Education
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
| | - Xiao-hang Zhou
- Engineering Research Center of Efficacy Evaluation and Industrial Development of TCM Classic Formulae of the Ministry of Education
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
| | - Yang Nan
- Engineering Research Center of Efficacy Evaluation and Industrial Development of TCM Classic Formulae of the Ministry of Education
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
| | - Qi Liu
- Engineering Research Center of Efficacy Evaluation and Industrial Development of TCM Classic Formulae of the Ministry of Education
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
| | - Hui Sun
- Engineering Research Center of Efficacy Evaluation and Industrial Development of TCM Classic Formulae of the Ministry of Education
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
| | - Heng Fang
- Engineering Research Center of Efficacy Evaluation and Industrial Development of TCM Classic Formulae of the Ministry of Education
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
| | - Xi-jun Wang
- Engineering Research Center of Efficacy Evaluation and Industrial Development of TCM Classic Formulae of the Ministry of Education
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
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17
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Zhang AH, Wang YM, Liu Q, Fu WH. A rapid and efficient approach based on ultra-high liquid chromatography coupled with mass spectrometry for identification in vitro and in vivo constituents from shizao decoction. Pharmacogn Mag 2020. [DOI: 10.4103/pm.pm_329_19] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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18
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Sun YC, Han SC, Yao MZ, Liu HB, Wang YM. Exploring the metabolic biomarkers and pathway changes in crucian under carbonate alkalinity exposure using high-throughput metabolomics analysis based on UPLC-ESI-QTOF-MS. RSC Adv 2020; 10:1552-1571. [PMID: 35494719 PMCID: PMC9047290 DOI: 10.1039/c9ra08090b] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 12/06/2019] [Indexed: 12/20/2022] Open
Abstract
The aims of this study is to explore the metabolomic biomarker and pathway changes in crucian under carbonate alkalinity exposures using high-throughput metabolomics analysis based on ultra-performance liquid chromatography-electrospray ionization-quadrupole time of flight-tandem mass spectrometry (UPLC-ESI-QTOF-MS) for carrying out adaptive evolution of fish in environmental exposures and understanding molecular physiological mechanisms of saline–alkali tolerance in fishes. Under 60 day exposure management, the UPLC-ESI-QTOF-MS technology, coupled with a pattern recognition approach and metabolic pathway analysis, was utilized to give insight into the metabolic biomarker and pathway changes. In addition, biochemical parameters in response to carbonate alkalinity in fish were detected for chronic impairment evaluation. A total of twenty-seven endogenous metabolites were identified to distinguish the biochemical changes in fish in clean water under exposure to different concentrations of carbonate alkalinity (CA); these mainly involved amino acid synthesis and metabolism, arachidonic acid metabolism, glyoxylate and dicarboxylate metabolism, pyruvate metabolism and the citrate cycle (TCA cycle). Compared with the control group, CA exposure increased the level of blood ammonia; TP; ALB; Gln in the liver and gills; GS; urea in blood, the liver and gills; CREA; CPS; Glu and LDH; and decreased the level of weight gain rate, oxygen consumption, discharge rate of ammonia, SOD, CAT, ALT, AST and Na+/K+-ATPase. At low concentrations, CA can change the normal metabolism of fish in terms of changing the osmotic pressure regulation capacity, antioxidant capacity, ammonia metabolism and liver and kidney function to adapt to the CA exposure environment. As the concentration of CA increases, various metabolic processes in crucian are inhibited, causing chronic damage to the body. The results show that the metabolomic strategy is a potentially powerful tool for identifying the mechanisms in response to different environmental exposomes and offers precious information about the chronic response of fish to CA. We explore the metabolic biomarker and pathway changes accompanying the adaptive evolution of crucian subjected to carbonate alkalinity exposure, using UPLC-ESI-QTOF-MS, in order to understand the molecular physiological mechanisms of saline–alkali tolerance.![]()
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Affiliation(s)
- Yan-chun Sun
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
| | - Shi-cheng Han
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
| | - Ming-zhu Yao
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
| | - Hong-bai Liu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
| | - Yu-mei Wang
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
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19
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Yao H, Yu PC, Jiang CM. Metabolomics-driven identification of perturbations in amino acid and sphingolipid metabolism as therapeutic targets in a rat model of anorexia nervosa disease using chemometric analysis and a multivariate analysis platform. RSC Adv 2020; 10:4928-4941. [PMID: 35498285 PMCID: PMC9049018 DOI: 10.1039/c9ra05187b] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 11/25/2019] [Indexed: 12/03/2022] Open
Abstract
It is important to explore novel therapeutic targets and develop an effective strategy for the treatment of anorexia nervosa. In this work, serum samples were analyzed using ultra-performance liquid chromatography coupled with quadrupole time-of flight mass spectrometry (UPLC/Q-TOF MS) coupled with chemometric analysis and multivariate analysis to obtain the metabolites and their corresponding pathways. In addition, knock-in and knock-down of the key enzyme in vivo was performed to verify the reliability of the obtained metabolic pathway, which is closely associated with the anorexia nervosa pathomechanism and the potential targets. There were significant differences in the biochemical parameters between the model group and the control group. A total of 26 potential biomarkers were identified to resolve the difference between the control and model rats, which were closely related to amino acid metabolism, sphingolipid metabolism, arachidonic acid metabolism, the citrate cycle, and so forth. According to the ingenuity pathway analysis, we further elucidated the relationship between the gene, protein, and metabolite alteration in anorexia nervosa, which are involved in cellular compromise, lipid metabolism, small molecule biochemistry, cell signaling, molecular transport, nucleic acid metabolism, cell morphology, cellular function and maintenance. Arginosuccinate synthetase (ASS) deficiency was accompanied by a significant downregulation of the β-endorphin and ghrelin in the animal models. The metabolites and pathways obtained using the metabolomics strategy may provide valuable information for the early treatment for anorexia nervosa. It is important to explore novel therapeutic targets and develop an effective strategy for the treatment of anorexia nervosa.![]()
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Affiliation(s)
- Hong Yao
- Neonatology Department
- First Affiliated Hospital of Harbin Medical University
- Harbin 150001
- China
| | - Peng-Cheng Yu
- College of Traditional Chinese Medicine
- Jilin Agricultural University
- Changchun 130118
- China
| | - Chun-Ming Jiang
- Neonatology Department
- First Affiliated Hospital of Harbin Medical University
- Harbin 150001
- China
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20
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Qiu S, Zhang AH, Guan Y, Sun H, Zhang TL, Han Y, Yan GL, Wang XJ. Functional metabolomics using UPLC-Q/TOF-MS combined with ingenuity pathway analysis as a promising strategy for evaluating the efficacy and discovering amino acid metabolism as a potential therapeutic mechanism-related target for geniposide against alcoholic liver disease. RSC Adv 2020; 10:2677-2690. [PMID: 35496090 PMCID: PMC9048633 DOI: 10.1039/c9ra09305b] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 12/03/2019] [Indexed: 12/13/2022] Open
Abstract
Metabolomics has been used as a strategy to evaluate the efficacy of and potential targets for natural products.
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Affiliation(s)
- Shi Qiu
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Ai-hua Zhang
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Yu Guan
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Hui Sun
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Tian-lei Zhang
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Ying Han
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Guang-li Yan
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Xi-jun Wang
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
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21
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Zhang AH, Ma ZM, Kong L, Gao HL, Sun H, Wang XQ, Yu JB, Han Y, Yan GL, Wang XJ. High-throughput lipidomics analysis to discover lipid biomarkers and profiles as potential targets for evaluating efficacy of Kai-Xin-San against APP/PS1 transgenic mice based on UPLC-Q/TOF-MS. Biomed Chromatogr 2019; 34:e4724. [PMID: 31755117 DOI: 10.1002/bmc.4724] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 10/01/2019] [Accepted: 10/07/2019] [Indexed: 12/16/2022]
Abstract
Lipid metabolism has a significant function in the central nervous system and Alzheimer's disease (AD) is an age-related senile disease characterized by central nerve degeneration. The pathological development of AD is closely related to lipid metabolism disorders. To reveal the influence of Kai-Xin-San (KXS) on lipid metabolism in APP/PSI transgenic mice and potential therapeutic targets for treating AD, brain tissue samples were collected and analyzed by high-throughput lipidomics based on UPLC-Q/TOF-MS. The collected raw data were processed by multivariate data analysis to discover the potential biomarkers and lipid metabolic profiles. Compared with the control wild-type mouse group, nine potential lipid biomarkers were found in the AD model group, of which seven were up-regulated and two were down-regulated. Orally administrated KXS can reverse the changes in these potential biomarkers. Compared with the model group, a total of six differential metabolites showed a recovery trend and may be potential targets for KXS to treat AD. This study showed that high-throughput lipidomics can be used to discover the perturbed pathways and lipid biomarkers as potential targets to reveal the therapeutic effects of KXS.
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Affiliation(s)
- Ai-Hua Zhang
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Zhi-Ming Ma
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Ling Kong
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Hong-Lei Gao
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Hui Sun
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Xiang-Qian Wang
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Jing-Bo Yu
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Ying Han
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Guang-Li Yan
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Xi-Jun Wang
- National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
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22
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Xu J, Jiang ZH, Liu XB, Ma Y, Ma W, Ma L. Ultra-performance liquid chromatography-mass spectrometry-based metabolomics reveals Huangqiliuyi decoction attenuates abnormal metabolism as a novel therapeutic opportunity for type 2 diabetes. RSC Adv 2019; 9:39858-39870. [PMID: 35541427 PMCID: PMC9076227 DOI: 10.1039/c9ra09386a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 11/15/2019] [Indexed: 11/21/2022] Open
Abstract
Background: As a typical chronic metabolic disease, type 2 diabetes mellitus causes a heavy health-care burden to society. In this study, we applied the metabolomics strategy to explore the potential molecular mechanism of the Huangqiliuyi decoction (HQLYD) for type-2 diabetes (T2D). Ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) combined with pattern recognition methods was utilized to select specific metabolites closely associated with HQLYD. Biomarker pathway analysis and biological network were utilized to uncover the therapeutic effect and action mechanism related to HQLYD. A total of twenty-five biomarkers were identified in the animal model, in which sixteen biomarkers are associated with HQLYD treatment for T2D. They attenuated the abnormalities of metabolic pathways such as phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, and the citrate cycle. HQLYD also significantly elevated the serum FINS and SOD, GSP-x level in the liver and kidney, and reduced the serum TC, TG, HDL, LDL, urea, Scr, AST, ALT, FBG, IRS, MDA, and CAT level. We found that the therapeutic mechanism of HQLYD against T2D affected amino acid metabolism, glucose metabolism and lipid metabolism. Metabolomics revealed that the Huangqiliuyi decoction attenuates abnormal metabolism as a novel therapeutic opportunity for type 2 diabetes.
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Affiliation(s)
- Jiao Xu
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University Harbin 150040 China
- College of Pharmacy, Heilongjiang University of Chinese Medicine Harbin 150040 China
| | - Zhe-Hui Jiang
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University Harbin 150040 China
| | - Xiu-Bo Liu
- College of Pharmacy, Heilongjiang University of Chinese Medicine Harbin 150040 China
| | - Yan Ma
- School of Business Administration, Harbin University of Commerce Harbin 150040 China
| | - Wei Ma
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University Harbin 150040 China
- College of Pharmacy, Heilongjiang University of Chinese Medicine Harbin 150040 China
| | - Ling Ma
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University Harbin 150040 China
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23
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Zhao FJ, Zhang ZB, Ma N, Teng X, Cai ZC, Liu MX. Untargeted metabolomics using liquid chromatography coupled with mass spectrometry for rapid discovery of metabolite biomarkers to reveal therapeutic effects of Psoralea corylifolia seeds against osteoporosis. RSC Adv 2019; 9:35429-35442. [PMID: 35528068 PMCID: PMC9074708 DOI: 10.1039/c9ra07382e] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 10/23/2019] [Indexed: 11/24/2022] Open
Abstract
Liquid chromatography coupled with mass spectrometry has been used as metabolomics profiling tool to discover and identify the metabolites in metabolic diseases. Osteoporosis (OP) syndrome is a chronic metabolic disease characterized by bone mass reduction and changes in bone microstructure. Psoralea corylifolia Linn. seeds (PCS) have a therapeutic effect on osteoporosis, but their action mechanism and therapeutic target are still unclear. This study aims to explore the metabolic changes of the urine profile in glucocorticoid-induced OP model rats and the therapeutic effect of PCS. High-throughput metabolomics based on the liquid chromatography coupled with mass spectrometry quadrupole time-of-flight mass spectrometry and multivariate data analysis were used to analyze the urine metabolites. The results showed that has an obvious separation between model and control groups. OPLS-DA was used to further analyze and discover substances that contributed to the separation. 42 potential biomarkers and 12 related metabolic pathways were identified in combination with network databases. After the intervention of PCS, 24 biomarkers were significantly regulated, mainly with glycone, serine and threonine metabolism, glutathione metabolism and purine metabolism and other metabolic pathways are related and discovered. This study has proved that PCS has therapeutic effect against OP by regulating that metabolic pathways disturbed in the OP. It provided a basis for the research and future development of new drugs for OP treatment. Liquid chromatography coupled with mass spectrometry has been used as metabolomics profiling tool to discover and identify the metabolites in metabolic diseases.![]()
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Affiliation(s)
- Fu-Jiang Zhao
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Zhao-Bo Zhang
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Ning Ma
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Xiao Teng
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Zhen-Cheng Cai
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Ming-Xi Liu
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
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24
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Liang Q, Liu H, Li XL, Yang Y, Hairong P. Rapid lipidomics analysis for sepsis-induced liver injury in rats and insights into lipid metabolic pathways using ultra-performance liquid chromatography/mass spectrometry. RSC Adv 2019; 9:35364-35371. [PMID: 35528052 PMCID: PMC9074727 DOI: 10.1039/c9ra05836b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 10/19/2019] [Indexed: 11/30/2022] Open
Abstract
Lipidomics has been applied in the identification and quantification of molecular lipids within an organism, and to provide insights into mechanisms in clinical medicine. Sepsis is a major systemic inflammatory syndrome and the liver here is a potential target organ for dysfunctional response. However, the study of alterations in global lipid profiles associated with sepsis-induced liver injury is still limited. In this work, we set out to determine alterations of lipidomics profiles in a rat model of sepsis-induced liver injury using an untargeted lipidomics strategy. Liquid chromatography coupled with mass spectrometry in conjunction with multivariate data analysis and pathway analysis were used to acquire a global lipid metabolite profile. Meanwhile, biochemistry index and histopathological examinations of the liver were performed to obtain auxiliary measurements for determining the pathological changes associated with sepsis-induced liver injury. Eleven lipid metabolites and two metabolic pathways were discovered and associated with sepsis-induced liver injury. The results indicated that various biomarkers and pathways may provide evidence for and insight into lipid profile alterations associated with sepsis-induced liver injury, and hence pointed to potential strategic targets for clinical diagnosis and therapy in the future. Lipidomics has been applied in the identification and quantification of molecular lipids within an organism, and to provide insights into mechanisms in clinical medicine.![]()
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Affiliation(s)
- Qun Liang
- ICU Center, First Affiliated Hospital, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China +86-13069717715 +86-13069717715
| | - Han Liu
- Simon Fraser University (SFU) Burnaby British Columbia Canada
| | - Xiu-Li Li
- ICU Center, First Affiliated Hospital, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China +86-13069717715 +86-13069717715
| | - Yang Yang
- ICU Center, First Affiliated Hospital, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China +86-13069717715 +86-13069717715
| | - Panguo Hairong
- ICU Center, First Affiliated Hospital, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China +86-13069717715 +86-13069717715
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25
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Yang Q, Zhang AH, Miao JH, Sun H, Han Y, Yan GL, Wu FF, Wang XJ. Metabolomics biotechnology, applications, and future trends: a systematic review. RSC Adv 2019; 9:37245-37257. [PMID: 35542267 PMCID: PMC9075731 DOI: 10.1039/c9ra06697g] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 11/03/2019] [Indexed: 12/12/2022] Open
Abstract
Given the highly increased incidence of human diseases, a better understanding of the related mechanisms regarding endogenous metabolism is urgently needed. Mass spectrometry-based metabolomics has been used in a variety of disease research areas. However, the deep research of metabolites remains a difficult and lengthy process. Fortunately, mass spectrometry is considered to be a universal tool with high specificity and sensitivity and is widely used around the world. Mass spectrometry technology has been applied to various basic disciplines, providing technical support for the discovery and identification of endogenous substances in living organisms. The combination of metabolomics and mass spectrometry is of great significance for the discovery and identification of metabolite biomarkers. The mass spectrometry tool could further improve and develop the exploratory research of the life sciences. This mini review discusses metabolomics biotechnology with a focus on recent applications of metabolomics as a powerful tool to elucidate metabolic disturbances and the related mechanisms of diseases. Given the highly increased incidence of human diseases, a better understanding of the related mechanisms regarding endogenous metabolism is urgently needed.![]()
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Affiliation(s)
- Qiang Yang
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Ai-hua Zhang
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Jian-hua Miao
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Hui Sun
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Ying Han
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Guang-li Yan
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Fang-fang Wu
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Xi-jun Wang
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
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Liang Q, Liu H, Li XL, Sun PY, Yang Y, Du C. Retracted Article: A high-throughput metabolomics strategy for discovering the influence of differential metabolites and metabolic pathways of huaxian capsules on sepsis-associated Qi deficiency and blood stasis syndrome. RSC Adv 2019; 9:30868-30878. [PMID: 35529408 PMCID: PMC9072202 DOI: 10.1039/c9ra06679a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 09/09/2019] [Indexed: 01/31/2023] Open
Abstract
High-throughput metabolomics can be used to investigate the therapeutic targets and metabolic mechanisms of traditional Chinese medicine formulae.
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Affiliation(s)
- Qun Liang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Han Liu
- Simon Fraser University (SFU)
- Burnaby
- Canada
| | - Xiu-li Li
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Pei-yang Sun
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Yang Yang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Chunpeng Du
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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27
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Luo W, Zhang JW, Zhang LJ, Zhang W. High-throughput untargeted metabolomics and chemometrics reveals pharmacological action and molecular mechanism of chuanxiong by ultra performance liquid chromatography combined with quadrupole-time-of-flight-mass spectrometry. RSC Adv 2019; 9:39025-39036. [PMID: 35540684 PMCID: PMC9075942 DOI: 10.1039/c9ra06267j] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 11/17/2019] [Indexed: 01/05/2023] Open
Abstract
Metabolomics methods can be used to explore the effect mechanisms underlying treatments with traditional medicine. Lung cancer (LC) causes the highest morbidity and mortality among tumors disease, and has become a serious public health problem. Chuanxiong (CX) is a dried rhizome of Ligusticum Chuanxiong Hort., often used in traditional Chinese medicine and has been widely used in the treatment for tumors. However, the pharmacological effect of CX on the metabolism process of LC mice is still unclear. This study used high-throughput untargeted metabolomics aims to discover biomarkers and metabolic pathways of LC as a potential target to provide insight into the pharmacological action and effective mechanism of CX against LC. The precise structural identification of the LC biomarker has been established using ultra performance liquid chromatography (UPLC) combined with quadrupole-time-of-flight-mass spectrometry (Q-TOF-MS) technology. UPLC-Q-TOF-MS and chemometrics methods were used to analyze the blood metabolism of LC model mice, and revealed the intervention effect of CX on LC model mice and potential therapeutic targets. The results showed that the metabolic profile clustering among the groups was obvious, and 31 potential biomarkers were finally locked, involving 7 related metabolic pathways. After treatment with CX, we found that 22 kinds of biomarkers were recalled to the main metabolic pathway which are associated with lipid metabolism. This study provides an effective biomarker reference for early clinical diagnosis of LC, and also provides a foundation for the expansion of new drugs for CX treatment of LC. Metabolomics methods can be used to explore the effect mechanisms underlying treatments with traditional medicine.![]()
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Affiliation(s)
- Wen Luo
- Department of Respiratory and Critical Care
- First Affiliated Hospital
- Harbin Medical University
- Harbin 150081
- China
| | - Jia-Wen Zhang
- Department of Respiratory and Critical Care
- First Affiliated Hospital
- Harbin Medical University
- Harbin 150081
- China
| | - Li-Juan Zhang
- Department of Respiratory and Critical Care
- First Affiliated Hospital
- Harbin Medical University
- Harbin 150081
- China
| | - Wei Zhang
- Department of Respiratory and Critical Care
- First Affiliated Hospital
- Harbin Medical University
- Harbin 150081
- China
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28
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Liang Q, Liu H, Li X, Hairong P, Sun P, Yang Y, Du C. High-throughput metabolic profiling, combined with chemometrics and bioinformatic analysis reveals functional alterations in myocardial dysfunction. RSC Adv 2019; 9:3351-3358. [PMID: 35548688 PMCID: PMC9087870 DOI: 10.1039/c8ra07572g] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 01/15/2019] [Indexed: 12/13/2022] Open
Abstract
High-throughput metabolic profiling technology has been used for biomarker discovery and to reveal underlying metabolic mechanisms.
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Affiliation(s)
- Qun Liang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Han Liu
- Simon Fraser University (SFU)
- Burnaby
- Canada
| | - Xiuli Li
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Panguo Hairong
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Peiyang Sun
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Yang Yang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Chunpeng Du
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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29
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Li TP, Zhang AH, Miao JH, Sun H, Yan GL, Wu FF, Wang XJ. Applications and potential mechanisms of herbal medicines for rheumatoid arthritis treatment: a systematic review. RSC Adv 2019; 9:26381-26392. [PMID: 35685403 PMCID: PMC9127666 DOI: 10.1039/c9ra04737a] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 08/04/2019] [Indexed: 12/12/2022] Open
Abstract
In this review, we systematically discuss the role of traditional Chinese medicine (TCM) in rheumatoid arthritis (RA) disease treatment. TCM classifies the subtypes of RA through its own theoretical method, which is beneficial for more accurate diagnosis and treatment with Chinese herbal medicines (CHMs) that are more suitable for different syndromes. TCM mainly uses a flexible combination of CHMs to play an important role in RA treatment. The main components of these extracts can be subdivided into alkaloids, flavonoids, triterpenes, saponins and other compounds. Using a platform of transgenic and induced arthritis models, we explore the potential mechanisms of TCM against RA with the help of omics analysis techniques and methods. These mechanisms are mainly CHM and its extracts can inhibit RA patients and experimental animal models, including synovitis, vascular proliferation and bone injury; this involves many biological signal exchange targets and pathways. In conclusion, the role of TCM in RA treatment mainly involves reducing the expression and secretion of pro-inflammatory factors, thus decreasing the degree of abnormal immune response. In this review, we systematically discuss the role of traditional Chinese medicine (TCM) in rheumatoid arthritis (RA) disease treatment.![]()
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Affiliation(s)
- Tai-ping Li
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Ai-hua Zhang
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Jian-hua Miao
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
| | - Hui Sun
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Guang-li Yan
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Fang-fang Wu
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Xi-jun Wang
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
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30
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Li HH, Pan JL, Hui S, Ma XW, Wang ZL, Yao HX, Wang JF, Li H. Retracted Article: High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach. RSC Adv 2018; 8:14838-14847. [PMID: 35541357 PMCID: PMC9079920 DOI: 10.1039/c8ra01749b] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 03/23/2018] [Indexed: 02/03/2023] Open
Abstract
Metabolomics, as a promising and powerful approach, refers to comprehensive assessment and identification of small molecule endogenous metabolites in a biological system which is capable of further understanding the mechanisms of diseases for early diagnosis, effective treatment and prognosis. Acute kidney injury (AKI) induced by contrast is a serious complication in patients undergoing administration of iodinated contrast media. It is becoming a major health concern in clinic, however, the molecular mechanisms of contrast-induced acute kidney injury (CI-AKI) have not been well characterized. In this study, we used serum metabolomics based on liquid chromatography-mass spectrometry (LC-MS) combined with pattern recognition to explore and characterize potential metabolites and metabolic pathway in an experimental model for CI-AKI. Seventeen differentiating metabolites in the serum were identified involving the pivotal metabolic pathways related to tryptophan metabolism, glycerophospholipid metabolism, steroid hormone biosynthesis, pyrimidine metabolism, sphingolipid metabolism, aminoacyl-tRNA biosynthesis. Our study provides novel insight into pathophysiologic mechanisms of AKI by changing biomarkers and pathways.
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Affiliation(s)
- Hai-Hong Li
- Department of Critical-Care Medicine, Mudanjiang Medical University Affiliated HongQi Hospital Mudanjiang 157000 China
| | - Jian-Liang Pan
- Department of Critical-Care Medicine, The Second People's Hospital of Weifang Weifang 261041 China
| | - Su Hui
- Department of Operating Theatre, The Second Affiliated Hospital of Mudanjiang Medical University Mudanjiang 157000 China
| | - Xiao-Wei Ma
- Department of Critical-Care Medicine, Mudanjiang Medical University Affiliated HongQi Hospital Mudanjiang 157000 China
| | - Zhi-Long Wang
- Department of Postgraduate Culture Department, The First Clinical Medicine School of Mudanjiang Medical University Mudanjiang 157000 China
| | - Hui-Xin Yao
- Department of Medical Department, Mudanjiang Medical University Affiliated HongQi Hospital Mudanjiang 157000 China
| | - Jun-Feng Wang
- Department of Medical Department, Mudanjiang Medical University Affiliated HongQi Hospital Mudanjiang 157000 China
| | - Hong Li
- Clinical Skills Center of the First Clinical College, Mudanjiang Medical University Mudanjiang 157000 China +86-0453-6602104 +86-1594-5325338
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Hu X, Shen Y, Yang S, Lei W, Luo C, Hou Y, Bai G. Metabolite identification of ursolic acid in mouse plasma and urine after oral administration by ultra-high performance liquid chromatography/quadrupole time-of-flight mass spectrometry. RSC Adv 2018; 8:6532-6539. [PMID: 35540410 PMCID: PMC9078307 DOI: 10.1039/c7ra11856b] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 01/30/2018] [Indexed: 11/21/2022] Open
Abstract
Ursolic acid (UA), a pentacyclic terpenoid carboxylic acid widely existing in various medicinal plants, has been reported to have multifarious biological activities such as anti-inflammatory, anticancer and antioxidant activities. In this paper, we analyzed the metabolic profile of UA in mice (including plasma and urine) by using ultra-high performance liquid chromatography (UPLC) coupled with a quadrupole time-of-flight (Q/TOF) method. Principal component analysis (PCA) was applied to differentiate the control and experimental groups. Potential biomarkers were filtered by using loading plots followed by further analysis with UPLC-Q/TOF-MS data. The results showed that 3 metabolites in plasma were identified as markers, one of which was UA and the others were UA epoxides, which belonged to phase I metabolites. Additionally, 5 phase II metabolites were tentatively identified in urine through an accurate mass and characteristic fragment ions. These data suggested that the biotransformation of UA undergoes the major metabolic reactions of the phase I metabolic route of olefin oxidation and phase II metabolic routes of glycine conjugation, glutathione conjugation and glucuronidation. This is the first report of analysis and characterization of the metabolites after the oral administration of UA in mice. The proposed metabolic pathways of UA in mice is also raised for the first time. It might provide further understanding of the potential biological mechanism of UA. First report on metabolism study of ursolic acid (UA) in vivo of mice.![]()
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Affiliation(s)
- Xueyan Hu
- State Key Laboratory of Medicinal Chemical Biology
- College of Pharmacy
- Tianjin Key Laboratory of Molecular Drug Research
- Nankai University
- Tianjin 300350
| | - Yunbing Shen
- State Key Laboratory of Medicinal Chemical Biology
- College of Pharmacy
- Tianjin Key Laboratory of Molecular Drug Research
- Nankai University
- Tianjin 300350
| | - Shengnan Yang
- State Key Laboratory of Medicinal Chemical Biology
- College of Pharmacy
- Tianjin Key Laboratory of Molecular Drug Research
- Nankai University
- Tianjin 300350
| | - Wei Lei
- State Key Laboratory of Medicinal Chemical Biology
- College of Pharmacy
- Tianjin Key Laboratory of Molecular Drug Research
- Nankai University
- Tianjin 300350
| | - Cheng Luo
- State Key Laboratory of Medicinal Chemical Biology
- College of Pharmacy
- Tianjin Key Laboratory of Molecular Drug Research
- Nankai University
- Tianjin 300350
| | - Yuanyuan Hou
- State Key Laboratory of Medicinal Chemical Biology
- College of Pharmacy
- Tianjin Key Laboratory of Molecular Drug Research
- Nankai University
- Tianjin 300350
| | - Gang Bai
- State Key Laboratory of Medicinal Chemical Biology
- College of Pharmacy
- Tianjin Key Laboratory of Molecular Drug Research
- Nankai University
- Tianjin 300350
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32
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Liang Q, Liu H, Li X, Zhang Y. Retracted Article: High performance liquid chromatography coupled with high resolution mass spectrometry-based characterization of lipidomic responses from rats with kidney injuries. RSC Adv 2018; 8:20250-20258. [PMID: 35541673 PMCID: PMC9080792 DOI: 10.1039/c8ra02805b] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 05/22/2018] [Indexed: 11/21/2022] Open
Abstract
Metabolism of lipids is essential for the regulation of a variety of key cellular functions. Recent advances in high performance liquid chromatography coupled with high resolution mass spectrometry have expanded our knowledge of lipid metabolism in diseases. Currently, sepsis is one of the most important public health problems all over the world, which is a serious systemic inflammatory syndrome leading to infection by various agents or trauma and subsequently to a multiple organ dysfunction response. However, little is known about the lipids affected by sepsis and their roles in kidney injuries. In this study, we present targeted and non-targeted lipidomics strategies to discover the lipid metabolism variation in serum in rats with sepsis-induced kidney injuries. Liquid chromatography (LC) coupled with mass spectrometry (MS) and multivariate data analysis were used to obtain the global lipid metabolic profiles. In addition, biochemical parameters and histopathological examination results for the kidney were analyzed to support the pathological changes during sepsis-induced kidney injury. The identification of ten proposed lipids and five relevant pathways will promote a better understanding of lipid profile alterations in kidney injury. The results suggested that lipid metabolism in sepsis-induced kidney injury had changed significantly and contribute by offering potential targets for clinical diagnosis and therapy in the future, which would be worth further studies to broaden the applications of high performance liquid chromatography coupled with high resolution mass spectrometry in the study of lipid metabolism. In this study, we present targeted and non-targeted lipidomics strategies to discover the lipid metabolism variation in serum in rats with sepsis-induced kidney injuries.![]()
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Affiliation(s)
- Qun Liang
- ICU Center
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Han Liu
- Simon Fraser University
- Burnaby
- Canada
| | - Xiuli Li
- ICU Center
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Yang Zhang
- ICU Center
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
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Ren JL, Zhang AH, Kong L, Wang XJ. Advances in mass spectrometry-based metabolomics for investigation of metabolites. RSC Adv 2018; 8:22335-22350. [PMID: 35539746 PMCID: PMC9081429 DOI: 10.1039/c8ra01574k] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 06/05/2018] [Indexed: 12/12/2022] Open
Abstract
Metabolomics is the systematic study of all the metabolites present within a biological system, which consists of a mass of molecules, having a variety of physical and chemical properties and existing over an extensive dynamic range in biological samples. Diverse analytical techniques are needed to achieve higher coverage of metabolites. The application of mass spectrometry (MS) in metabolomics has increased exponentially since the discovery and development of electrospray ionization and matrix-assisted laser desorption ionization techniques. Significant advances have also occurred in separation-based MS techniques (gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, capillary electrophoresis-mass spectrometry, and ion mobility-mass spectrometry), as well as separation-free MS techniques (direct infusion-mass spectrometry, matrix-assisted laser desorption ionization-mass spectrometry, mass spectrometry imaging, and direct analysis in real time mass spectrometry) in the past decades. This review presents a brief overview of the recent advanced MS techniques and their latest applications in metabolomics. The software/websites for MS result analyses are also reviewed. Metabolomics is the systematic study of all the metabolites present within a biological system, supply functional information and has received extensive attention in the field of life sciences.![]()
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Affiliation(s)
- Jun-Ling Ren
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Chinmedomics Research Center of State Administration of TCM
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Ai-Hua Zhang
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Chinmedomics Research Center of State Administration of TCM
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Ling Kong
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Chinmedomics Research Center of State Administration of TCM
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Xi-Jun Wang
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Chinmedomics Research Center of State Administration of TCM
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
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Sun YC, Wu S, Du NN, Song Y, Xu W. High-throughput metabolomics enables metabolite biomarkers and metabolic mechanism discovery of fish in response to alkalinity stress. RSC Adv 2018; 8:14983-14990. [PMID: 35541358 PMCID: PMC9079986 DOI: 10.1039/c8ra01317a] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Accepted: 04/04/2018] [Indexed: 11/21/2022] Open
Abstract
High throughput mass spectrometry (MS)-based metabolomics is a popular platform for small molecule metabolites analyses that are widely used for detecting biomarkers in the research field of environmental assessment. Crucian carp (Carassius carassius, CC) is an economically and ecologically important fish in Asia. It can adapt to extremely high alkalinity, providing us with valuable material to understand the adaptation mechanism for extreme environmental stress. However, the information on the metabolite biomarkers and metabolic mechanisms of CC exposed to alkaline stress is not entirely clear. We applied high-throughput UPLC-Q-TOF/MS combined with chemometrics to identify changes in the metabolome of CC exposed to different concentrations of alkalinity for long term effects. Metabolic differences among alkalinity-treated groups were identified by multivariate statistical analysis. Further, 7 differential metabolites were found after exposure to alkaline conditions. In total, 23 metabolic pathways of these differential metabolites were significantly affected. Alkalinity exposure resulted in widespread change in metabolic profiles in the plasma with disruptions in the phenylalanine metabolism, glycine, serine and threonine metabolism, pyruvate metabolism, tyrosine metabolism, etc. The integrated pathway analysis of the associated metabolites showed that tRNA charging, l-cysteine degradation II, superpathway of methionine degradation, l-serine degradation, tyrosine biosynthesis IV, etc. appear to be the most significantly represented functional categories. Overall, this study demonstrated that metabolic changes in CC played a role in adaptation to the highly alkaline environmental stress. High throughput mass spectrometry (MS)-based metabolomics is a popular platform for small molecule metabolites analyses that are widely used for detecting biomarkers in the research field of environmental assessment.![]()
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Affiliation(s)
- Yan-chun Sun
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin)
- Ministry of Agriculture
- Harbin 150070
- China
| | - Song Wu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin)
- Ministry of Agriculture
- Harbin 150070
- China
| | - Ning-ning Du
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin)
- Ministry of Agriculture
- Harbin 150070
- China
| | - Yi Song
- Chinese Academy of Fishery Sciences
- Beijing 100141
- P. R. China
| | - Wei Xu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin)
- Ministry of Agriculture
- Harbin 150070
- China
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Li YF, Qiu S, Gao LJ, Zhang AH. Metabolomic estimation of the diagnosis of hepatocellular carcinoma based on ultrahigh performance liquid chromatography coupled with time-of-flight mass spectrometry. RSC Adv 2018; 8:9375-9382. [PMID: 35541871 PMCID: PMC9078651 DOI: 10.1039/c7ra13616a] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2017] [Accepted: 02/23/2018] [Indexed: 01/01/2023] Open
Abstract
Metabolomics has been shown to be an effective tool for biomarker screening and pathway characterization and disease diagnosis. Metabolic characteristics of hepatocellular carcinoma (HCC) may enable the discovery of novel biomarkers for its diagnosis. In this work, metabolomics was used to investigate metabolic alterations of HCC patients. Plasma samples from HCC patients and age-matched healthy controls were investigated using high resolution ultrahigh performance liquid chromatography-mass spectrometry and metabolic differences were analyzed using pattern recognition methods. 23 distinguishable metabolites were identified. The altered metabolic pathways were associated with arginine and proline metabolism, glycine, serine and threonine metabolism, steroid hormone biosynthesis, starch and sucrose metabolism, etc. To demonstrate the utility of plasma biomarkers for the diagnosis of HCC, five metabolites comprising deoxycholic acid 3-glucuronide, 6-hydroxymelatonin glucuronide, 4-methoxycinnamic acid, 11b-hydroxyprogesterone and 4-hydroxyretinoic acid were selected as candidate biomarkers. These metabolites that contributed to the combined model could significantly increase the diagnostic performance of HCC. It has proved to be a powerful tool in the discovery of new biomarkers for disease detection and suggest that panels of metabolites may be valuable to translate our findings to clinically useful diagnostic tests. Metabolomics has been shown to be an effective tool for biomarker screening and pathway characterization and disease diagnosis.![]()
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Affiliation(s)
- Yuan-Feng Li
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Shi Qiu
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Li-Juan Gao
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Ai-Hua Zhang
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
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Zhao Y, Lv H, Qiu S, Gao L, Ai H. Plasma metabolic profiling and novel metabolite biomarkers for diagnosing prostate cancer. RSC Adv 2017. [DOI: 10.1039/c7ra04337f] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Prostate cancer (PCa) is the second leading cause of cancer death among men and associated with profound metabolic changes.
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Affiliation(s)
- Yunbo Zhao
- Department of General Surgery
- The First Affiliated Hospital of Jiamusi University
- Jiamusi 154003
- China
| | - Hongmei Lv
- Jiamusi College
- Heilongjiang University of Chinese Medicine
- Jiamusi 154007
- China
| | - Shi Qiu
- College of Pharmacy
- Department of Rheumatology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Lijuan Gao
- College of Pharmacy
- Department of Rheumatology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Huazhang Ai
- College of Pharmacy
- Department of Rheumatology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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Feng X, Chen L, Li N, Zhao Y, Han Q, Wang X, Wang W, Ma L, Zhao X. Metabolomics biomarker analysis of threatened abortion in polycystic ovary syndrome: a clinical discovery study. RSC Adv 2017. [DOI: 10.1039/c6ra27357b] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
In this study, using an advanced metabolomics platform based on UPLC-QTOF-MS, we found that pregnancy significantly altered the profile of metabolites in the plasma of women with PCOS.
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Affiliation(s)
- Xiaoling Feng
- Department of Gynecology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Lu Chen
- Department of Gynecology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Na Li
- Department of Gynecology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Yan Zhao
- Department of Gynecology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Qimao Han
- Department of Rheumatology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Xiaolin Wang
- Key Laboratory of Separation Science for Analytical Chemistry
- Dalian Institute of Chemical Physics
- Chinese Academy of Science
- Dalian 116023
- China
| | - Wei Wang
- Department of Gynecology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Liping Ma
- Department of Gynecology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Xinjie Zhao
- Key Laboratory of Separation Science for Analytical Chemistry
- Dalian Institute of Chemical Physics
- Chinese Academy of Science
- Dalian 116023
- China
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