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Camelo ALM, Zamora Obando HR, Rocha I, Dias AC, Mesquita ADS, Simionato AVC. COVID-19 and Comorbidities: What Has Been Unveiled by Metabolomics? Metabolites 2024; 14:195. [PMID: 38668323 PMCID: PMC11051775 DOI: 10.3390/metabo14040195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/14/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
The COVID-19 pandemic has brought about diverse impacts on the global population. Individuals with comorbidities were more susceptible to the severe symptoms caused by the virus. Within the crisis scenario, metabolomics represents a potential area of science capable of providing relevant information for understanding the metabolic pathways associated with the intricate interaction between the viral disease and previous comorbidities. This work aims to provide a comprehensive description of the scientific production pertaining to metabolomics within the specific context of COVID-19 and comorbidities, while highlighting promising areas for exploration by those interested in the subject. In this review, we highlighted the studies of metabolomics that indicated a variety of metabolites associated with comorbidities and COVID-19. Furthermore, we observed that the understanding of the metabolic processes involved between comorbidities and COVID-19 is limited due to the urgent need to report disease outcomes in individuals with comorbidities. The overlap of two or more comorbidities associated with the severity of COVID-19 hinders the comprehension of the significance of each condition. Most identified studies are observational, with a restricted number of patients, due to challenges in sample collection amidst the emergent situation.
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Affiliation(s)
- André Luiz Melo Camelo
- Laboratory of Analysis of Biomolecules Tiselius, Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-970, São Paulo, Brazil; (A.L.M.C.); (H.R.Z.O.); (I.R.); (A.C.D.); (A.d.S.M.)
| | - Hans Rolando Zamora Obando
- Laboratory of Analysis of Biomolecules Tiselius, Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-970, São Paulo, Brazil; (A.L.M.C.); (H.R.Z.O.); (I.R.); (A.C.D.); (A.d.S.M.)
| | - Isabela Rocha
- Laboratory of Analysis of Biomolecules Tiselius, Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-970, São Paulo, Brazil; (A.L.M.C.); (H.R.Z.O.); (I.R.); (A.C.D.); (A.d.S.M.)
| | - Aline Cristina Dias
- Laboratory of Analysis of Biomolecules Tiselius, Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-970, São Paulo, Brazil; (A.L.M.C.); (H.R.Z.O.); (I.R.); (A.C.D.); (A.d.S.M.)
| | - Alessandra de Sousa Mesquita
- Laboratory of Analysis of Biomolecules Tiselius, Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-970, São Paulo, Brazil; (A.L.M.C.); (H.R.Z.O.); (I.R.); (A.C.D.); (A.d.S.M.)
| | - Ana Valéria Colnaghi Simionato
- Laboratory of Analysis of Biomolecules Tiselius, Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-970, São Paulo, Brazil; (A.L.M.C.); (H.R.Z.O.); (I.R.); (A.C.D.); (A.d.S.M.)
- National Institute of Science and Technology for Bioanalytics—INCTBio, Institute of Chemistry, Universidade Estadual de (UNICAMP), Campinas 13083-970, São Paulo, Brazil
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2
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Gao Y, Ding P, Wang J, Zhang C, Ji G, Wu T. Application of metabolomics in irritable bowel syndrome in recent 5 years. Int Immunopharmacol 2023; 124:110776. [PMID: 37603947 DOI: 10.1016/j.intimp.2023.110776] [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: 01/04/2023] [Revised: 08/02/2023] [Accepted: 08/06/2023] [Indexed: 08/23/2023]
Abstract
Irritable bowel syndrome (IBS) is one of the most common functional gastrointestinal disorders worldwide, characterized by chronic abdominal pain or discomfort and altered bowel habits. To date, the exact pathogenesis of IBS remains elusive, but is clearly multifactorial, including environmental and host factors. However, the management of patients with IBS is challenging and the current diagnostic and therapeutic modalities have unsatisfactory outcomes. Therefore, it is important to develop more effective methods to diagnose IBS early. Metabolomics studies the metabolites most closely related to patient characteristics, which can provide useful clinical biomarkers that can be applied to IBS and may open up new diagnostic approaches. Traditional Chinese medicine (TCM) can play a role in improving symptoms and protecting target organs, but its mechanism needs to be studied in depth. In this review, based on PubMed/MEDLINE and other databases, we searched metabolomics studies related to IBS in the past 5 years, including those related to clinical studies and animal studies, as well as literatures on TCM interventions in IBS, to provide an updated overview of the application of metabolomics to the diagnosis and treatment of IBS and the improvement of IBS by TCM.
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Affiliation(s)
- Ying Gao
- Institute of Digestive Disease, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Peilun Ding
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Junmin Wang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Caiyun Zhang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Guang Ji
- Institute of Digestive Disease, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
| | - Tao Wu
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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Murali R, Wanjari UR, Mukherjee AG, Gopalakrishnan AV, Kannampuzha S, Namachivayam A, Madhyastha H, Renu K, Ganesan R. Crosstalk between COVID-19 Infection and Kidney Diseases: A Review on the Metabolomic Approaches. Vaccines (Basel) 2023; 11:vaccines11020489. [PMID: 36851366 PMCID: PMC9959335 DOI: 10.3390/vaccines11020489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, a respiratory disorder. Various organ injuries have been reported in response to this virus, including kidney injury and, in particular, kidney tubular injury. It has been discovered that infection with the virus does not only cause new kidney disease but also increases treatment difficulty and mortality rates in people with kidney diseases. In individuals hospitalized with COVID-19, urinary metabolites from several metabolic pathways are used to distinguish between patients with acute kidney injury (AKI) and those without. This review summarizes the pathogenesis, pathophysiology, treatment strategies, and role of metabolomics in relation to AKI in COVID-19 patients. Metabolomics is likely to play a greater role in predicting outcomes for patients with kidney disease and COVID-19 with varying levels of severity in the near future as data on metabolic profiles expand rapidly. Here, we also discuss the correlation between COVID-19 and kidney diseases and the available metabolomics approaches.
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Affiliation(s)
- Reshma Murali
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Uddesh Ramesh Wanjari
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Anirban Goutam Mukherjee
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Abilash Valsala Gopalakrishnan
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
- Correspondence: (A.V.G.); (R.G.)
| | - Sandra Kannampuzha
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Arunraj Namachivayam
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
| | - Harishkumar Madhyastha
- Department of Cardiovascular Physiology, Faculty of Medicine, University of Miyazaki, Miyazaki 889-1692, Japan
| | - Kaviyarasi Renu
- Center of Molecular Medicine and Diagnostics (COMMAND), Department of Biochemistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, Tamil Nadu, India
| | - Raja Ganesan
- Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon 24252, Republic of Korea
- Correspondence: (A.V.G.); (R.G.)
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Sriwi D, Alabdaljabar MS, Jacob M, Mujamammi AH, Gu X, Sabi EM, Li L, Hussein MH, Dasouki M, Abdel Rahman AM. Metabolomics Profiling of Cystic Renal Disease towards Biomarker Discovery. BIOLOGY 2021; 10:biology10080770. [PMID: 34440002 PMCID: PMC8389671 DOI: 10.3390/biology10080770] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 12/16/2022]
Abstract
Simple Summary Cystic renal disease (CRD) is a group of diseases characterized by abnormal sacs, or cysts, in the kidneys. CRD can be detected using certain imaging modalities (i.e., ultrasound). Patients with CRD might be symptoms-free, while others can show symptoms long after cysts development. Although these cysts represent structural changes, we hypothesized that they have an underlying biochemical alteration. If so, this would open the floor for potential biomarker discovery, which would aid in CRD diagnosis and, possibly, treatment. On that basis, this study focuses on identifying biomarkers for CRD. To achieve that, we employed a metabolomics-based approach to identify intermediate molecules inside the cells that are byproducts of biochemical reactions. We used dry blood spots and serum samples of CRD patients and healthy controls to study the differences in their metabolomic profile. Our results suggest that certain metabolites, including uridine diphosphate, cystine-5-diphosphate, and morpholine, are potential biomarkers for CRD. The affected biochemical pathways in CRD include aminoacyl-tRNA biosynthesis, purine, pyrimidine, glutathione, TCA cycle, and some amino acid metabolism. These preliminary results could be the starting point for possible diagnostic and therapeutic approaches for CRD in the future. Abstract Cystic renal disease (CRD) comprises a heterogeneous group of genetic and acquired disorders. The cystic lesions are detected through imaging, either incidentally or after symptoms develop, due to an underlying disease process. In this study, we aim to study the metabolomic profiles of CRD patients for potential disease-specific biomarkers using unlabeled and labeled metabolomics using low and high-resolution mass spectrometry (MS), respectively. Dried-blood spot (DBS) and serum samples, collected from CRD patients and healthy controls, were analyzed using the unlabeled and labeled method. The metabolomics profiles for both sets of samples and groups were collected, and their data were processed using the lab’s standard protocol. The univariate analysis showed (FDR p < 0.05 and fold change 2) was significant to show a group of potential biomarkers for CRD discovery, including uridine diphosphate, cystine-5-diphosphate, and morpholine. Several pathways were involved in CRD patients based on the metabolic profile, including aminoacyl-tRNA biosynthesis, purine and pyrimidine, glutathione, TCA cycle, and some amino acid metabolism (alanine, aspartate and glutamate, arginine and tryptophan), which have the most impact. In conclusion, early CRD detection and treatment is possible using a metabolomics approach that targets alanine, aspartate, and glutamate pathway metabolites.
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Affiliation(s)
- Dalia Sriwi
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (D.S.); (M.S.A.)
| | - Mohamad S. Alabdaljabar
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (D.S.); (M.S.A.)
| | - Minnie Jacob
- Metabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11211, Saudi Arabia; (M.J.); (M.D.)
| | - Ahmed H. Mujamammi
- Clinical Biochemistry Unit, Department of Pathology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (A.H.M.); (E.M.S.)
| | - Xinyun Gu
- Department of Chemistry, University of Alberta, Edmonton, AB T6G 2R3, Canada; (X.G.); (L.L.)
| | - Essa M. Sabi
- Clinical Biochemistry Unit, Department of Pathology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (A.H.M.); (E.M.S.)
| | - Liang Li
- Department of Chemistry, University of Alberta, Edmonton, AB T6G 2R3, Canada; (X.G.); (L.L.)
| | - Maged H. Hussein
- Department of Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11211, Saudi Arabia;
| | - Majed Dasouki
- Metabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11211, Saudi Arabia; (M.J.); (M.D.)
| | - Anas M. Abdel Rahman
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (D.S.); (M.S.A.)
- Metabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11211, Saudi Arabia; (M.J.); (M.D.)
- Department of Chemistry, Memorial University of Newfoundland, St. John’s, NL A1B 3X7, Canada
- Correspondence: ; Tel.: +966-11-464-7272 (ext. 36481)
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Lichtenberg S, Trifonova OP, Maslov DL, Balashova EE, Lokhov PG. Metabolomic Laboratory-Developed Tests: Current Status and Perspectives. Metabolites 2021; 11:423. [PMID: 34206934 PMCID: PMC8305461 DOI: 10.3390/metabo11070423] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/11/2021] [Accepted: 06/25/2021] [Indexed: 12/18/2022] Open
Abstract
Laboratory-developed tests (LDTs) are a subset of in vitro diagnostic devices, which the US Food and Drug Administration defines as "tests that are manufactured by and used within a single laboratory". The review describes the emergence and history of LDTs. The current state and development prospects of LDTs based on metabolomics are analyzed. By comparing LDTs with the scientific metabolomics study of human bio samples, the characteristic features of metabolomic LDT are shown, revealing its essence, strengths, and limitations. The possibilities for further developments and scaling of metabolomic LDTs and their potential significance for healthcare are discussed. The legal aspects of LDT regulation in the United States, European Union, and Singapore, demonstrating different approaches to this issue, are also provided. Based on the data presented in the review, recommendations were made on the feasibility and ways of further introducing metabolomic LDTs into practice.
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Affiliation(s)
- Steven Lichtenberg
- Metabometrics, Inc., 651 N Broad St, Suite 205 #1370, Middletown, DE 19709, USA
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia; (O.P.T.); (D.L.M.); (E.E.B.)
| | - Oxana P. Trifonova
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia; (O.P.T.); (D.L.M.); (E.E.B.)
| | - Dmitry L. Maslov
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia; (O.P.T.); (D.L.M.); (E.E.B.)
| | - Elena E. Balashova
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia; (O.P.T.); (D.L.M.); (E.E.B.)
| | - Petr G. Lokhov
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia; (O.P.T.); (D.L.M.); (E.E.B.)
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6
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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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7
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Lee H, Jang HB, Yoo MG, Park SI, Lee HJ. Amino Acid Metabolites Associated with Chronic Kidney Disease: An Eight-Year Follow-Up Korean Epidemiology Study. Biomedicines 2020; 8:biomedicines8070222. [PMID: 32708997 PMCID: PMC7399801 DOI: 10.3390/biomedicines8070222] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/13/2020] [Accepted: 07/14/2020] [Indexed: 12/12/2022] Open
Abstract
The discovery of metabolomics-based biomarkers has been a focus of recent kidney dysfunction research. In the present study, we aimed to identify metabolites associated with chronic kidney disease (CKD) in the general population using a cross-sectional study design. At baseline, 6.5% of subjects had CKD. Pearson correlation analysis showed that 28 metabolites were significantly associated with estimated glomerular filtration rate (eGFR) after Bonferroni correction. Among these metabolites, 4 acylcarnitines, 12 amino acids, 4 biogenic amines, 1 phosphatidylcholine, and 1 sphingolipid were associated with CKD (p < 0.05). After eight years, 13.5% of subjects had CKD. Three amino acid metabolites were positively associated with new-onset CKD: citrulline [odds ratio (OR): 2.41, 95% confidence interval (CI): 1.26–4.59], kynurenine (OR: 1.98, 95% CI: 1.05–3.73), and phenylalanine (OR: 2.68, 95% CI: 1.00–7.16). The kynurenine:tryptophan ratio was also associated with CKD (OR: 3.20; 95% CI: 1.57–6.51). The addition of multiple metabolites significantly improved the CKD prediction by C statistics (0.756–0.85, p < 0.0001), and the net reclassification improvement was 0.84 (95% CI: 0.72–0.96). Elevated hs-C reactive protein (CRP) was associated with new-onset CKD (OR: 1.045, 95% CI: 1.005–1.086); however, this association disappeared following adjustment with the kynurenine:tryptophan ratio. The levels of citrulline and kynurenine and their ratio to tryptophan in CKD patients with proteinuria were worse than those with one or neither characteristic. Together, the results of this study demonstrate that amino acid metabolites are associated with CKD eight years after initial metabolite assessment. These results could improve the identification of subjects at high risk of CKD who have modified amino acid metabolism.
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Affiliation(s)
| | | | | | | | - Hye-Ja Lee
- Correspondence: ; Tel.: +82-43-719-8692; Fax: +82-43-719-8702
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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: 6] [Impact Index Per Article: 1.5] [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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9
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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: 6] [Impact Index Per Article: 1.5] [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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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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11
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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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Abbiss H, Maker GL, Trengove RD. Metabolomics Approaches for the Diagnosis and Understanding of Kidney Diseases. Metabolites 2019; 9:E34. [PMID: 30769897 PMCID: PMC6410198 DOI: 10.3390/metabo9020034] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 01/29/2019] [Accepted: 02/05/2019] [Indexed: 02/07/2023] Open
Abstract
Diseases of the kidney are difficult to diagnose and treat. This review summarises the definition, cause, epidemiology and treatment of some of these diseases including chronic kidney disease, diabetic nephropathy, acute kidney injury, kidney cancer, kidney transplantation and polycystic kidney diseases. Numerous studies have adopted a metabolomics approach to uncover new small molecule biomarkers of kidney diseases to improve specificity and sensitivity of diagnosis and to uncover biochemical mechanisms that may elucidate the cause and progression of these diseases. This work includes a description of mass spectrometry-based metabolomics approaches, including some of the currently available tools, and emphasises findings from metabolomics studies of kidney diseases. We have included a varied selection of studies (disease, model, sample number, analytical platform) and focused on metabolites which were commonly reported as discriminating features between kidney disease and a control. These metabolites are likely to be robust indicators of kidney disease processes, and therefore potential biomarkers, warranting further investigation.
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Affiliation(s)
- Hayley Abbiss
- School of Veterinary and Life Sciences, Murdoch University, 90 South Street, Perth 6150, Australia.
- Separation Science and Metabolomics Laboratory, Murdoch University, 90 South Street, Perth 6150, Australia.
| | - Garth L Maker
- School of Veterinary and Life Sciences, Murdoch University, 90 South Street, Perth 6150, Australia.
- Separation Science and Metabolomics Laboratory, Murdoch University, 90 South Street, Perth 6150, Australia.
| | - Robert D Trengove
- Separation Science and Metabolomics Laboratory, Murdoch University, 90 South Street, Perth 6150, Australia.
- Metabolomics Australia, Murdoch University Node, Murdoch University, 90 South Street, Perth 6150, Australia.
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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: 66] [Impact Index Per Article: 13.2] [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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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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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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16
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Side effects of methotrexate therapy for rheumatoid arthritis: A systematic review. Eur J Med Chem 2018; 158:502-516. [PMID: 30243154 DOI: 10.1016/j.ejmech.2018.09.027] [Citation(s) in RCA: 291] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 09/06/2018] [Accepted: 09/09/2018] [Indexed: 12/27/2022]
Abstract
Methotrexate (MTX) is used as an anchor disease-modifying anti-rheumatic drugs (DMARDs) in treating rheumatoid arthritis (RA) because of its potent efficacy and tolerability. MTX benefits a large number of RA patients but partially suffered from side effects. A variety of side effects can be associated with MTX when treating RA patients, from mild to severe or discontinuation of the treatment. In this report, we reviewed the possible side effects that MTX might cause from the most common gastrointestinal toxicity effects to less frequent malignant diseases. In order to achieve regimen with less side effects, the administration of MTX with appropriate dose and a careful pretreatment inspection is necessary. Further investigations are required when combining MTX with other drugs so as to enhance the efficacy and reduce side effects at the same time. The management of MTX treatment is also discussed to provide strategies for occurred side effects. Thus, this review will provide scholars with a comprehensive understanding the side effects of MTX administration by RA patients.
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Hocher B, Adamski J. Metabolomics for clinical use and research in chronic kidney disease. Nat Rev Nephrol 2017; 13:269-284. [PMID: 28262773 DOI: 10.1038/nrneph.2017.30] [Citation(s) in RCA: 214] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Chronic kidney disease (CKD) has a high prevalence in the general population and is associated with high mortality; a need therefore exists for better biomarkers for diagnosis, monitoring of disease progression and therapy stratification. Moreover, very sensitive biomarkers are needed in drug development and clinical research to increase understanding of the efficacy and safety of potential and existing therapies. Metabolomics analyses can identify and quantify all metabolites present in a given sample, covering hundreds to thousands of metabolites. Sample preparation for metabolomics requires a very fast arrest of biochemical processes. Present key technologies for metabolomics are mass spectrometry and proton nuclear magnetic resonance spectroscopy, which require sophisticated biostatistic and bioinformatic data analyses. The use of metabolomics has been instrumental in identifying new biomarkers of CKD such as acylcarnitines, glycerolipids, dimethylarginines and metabolites of tryptophan, the citric acid cycle and the urea cycle. Biomarkers such as c-mannosyl tryptophan and pseudouridine have better performance in CKD stratification than does creatinine. Future challenges in metabolomics analyses are prospective studies and deconvolution of CKD biomarkers from those of other diseases such as metabolic syndrome, diabetes mellitus, inflammatory conditions, stress and cancer.
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Affiliation(s)
- Berthold Hocher
- Department of Basic Medicine, Medical College of Hunan University, 410006 Changsha, China
| | - Jerzy Adamski
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
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Jouret F, Leenders J, Poma L, Defraigne JO, Krzesinski JM, de Tullio P. Nuclear Magnetic Resonance Metabolomic Profiling of Mouse Kidney, Urine and Serum Following Renal Ischemia/Reperfusion Injury. PLoS One 2016; 11:e0163021. [PMID: 27657885 PMCID: PMC5033333 DOI: 10.1371/journal.pone.0163021] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Accepted: 09/01/2016] [Indexed: 12/29/2022] Open
Abstract
Background Ischemia/reperfusion (I/R) is the most common cause of acute kidney injury (AKI). Its pathophysiology remains unclear. Metabolomics is dedicated to identify metabolites involved in (patho)physiological changes of integrated living systems. Here, we performed 1H-Nuclear Magnetic Resonance metabolomics using urine, serum and kidney samples from a mouse model of renal I/R. Methods Renal 30-min ischemia was induced in 12-week-old C57BL/6J male mice by bilaterally clamping vascular pedicles, and was followed by 6, 24 or 48-hour reperfusion (n = 12/group). Sham-operated mice were used as controls. Statistical discriminant analyses, i.e. principal component analysis and orthogonal projections to latent structures (OPLS-DA), were performed on urine, serum and kidney lysates at each time-point. Multivariate receiver operating characteristic (ROC) curves were drawn, and sensitivity and specificity were calculated from ROC confusion matrix (with averaged class probabilities across 100 cross-validations). Results Urine OPLS-DA analysis showed a net separation between I/R and sham groups, with significant variations in levels of taurine, di- and tri-methylamine, creatine and lactate. Such changes were observed as early as 6 hours post reperfusion. Major metabolome modifications occurred at 24h post reperfusion. At this time-point, correlation coefficients between urine spectra and conventional AKI biomarkers, i.e. serum creatinine and urea levels, reached 0.94 and 0.95, respectively. The area under ROC curve at 6h, 24h and 48h post surgery were 0.73, 0.98 and 0.97, respectively. Similar discriminations were found in kidney samples, with changes in levels of lactate, fatty acids, choline and taurine. By contrast, serum OPLS-DA analysis could not discriminate sham-operated from I/R-exposed animals. Conclusions Our study demonstrates that renal I/R in mouse causes early and sustained metabolomic changes in urine and kidney composition. The most implicated pathways at 6h and 24h post reperfusion include gluconeogenesis, taurine and hypotaurine metabolism, whereas protein biosynthesis, glycolysis, and galactose and arginine metabolism are key at 48h post reperfusion.
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Affiliation(s)
- François Jouret
- Division of Nephrology, University of Liège Hospital (ULg CHU), Liège, Belgium
- Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), Cardiovascular Sciences, University of Liège, Liège, Belgium
- * E-mail:
| | - Justine Leenders
- Centre for Interdisciplinary Research on Medicines (CIRM), University of Liège, Liège, Belgium
| | - Laurence Poma
- Division of Nephrology, University of Liège Hospital (ULg CHU), Liège, Belgium
- Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), Cardiovascular Sciences, University of Liège, Liège, Belgium
| | - Jean-Olivier Defraigne
- Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), Cardiovascular Sciences, University of Liège, Liège, Belgium
| | - Jean-Marie Krzesinski
- Division of Nephrology, University of Liège Hospital (ULg CHU), Liège, Belgium
- Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), Cardiovascular Sciences, University of Liège, Liège, Belgium
| | - Pascal de Tullio
- Centre for Interdisciplinary Research on Medicines (CIRM), University of Liège, Liège, Belgium
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Pelizzo G, Ballico M, Mimmi MC, Peirò JL, Marotta M, Federico C, Andreatta E, Nakib G, Sampaolesi M, Zambaiti E, Calcaterra V. Metabolomic profile of amniotic fluid to evaluate lung maturity: the diaphragmatic hernia lamb model. Multidiscip Respir Med 2014; 9:54. [PMID: 25419460 PMCID: PMC4239313 DOI: 10.1186/2049-6958-9-54] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 09/23/2014] [Indexed: 12/20/2022] Open
Abstract
Background Tracheal occlusion (TO) stimulates lung growth in fetuses affected with congenital diaphragmatic hernia (CDH) although the processes involved in lung maturation still remain unknown. The objective of this study was to evaluate the metabolomic profile of amniotic fluid (AF) following TO in fetal lamb model in order to obtain an indirect view of mechanisms involved in pulmonary reversal hypoplasia and biochemical maturity in response to fetal TO. Methods Liquid Chromatography Mass Spectrometry was performed on lamb AF samples at: age I (70 days’ gestation); age II (102 days’ gestation); age III (136 days’ gestation). CDH was induced at age I and TO at age II. Results Betaine, choline, creatinine were found significantly increased during gestation in the control group. The CDH group showed choline (p =0.007) and creatinine (p =0.004) decreases during pregnancy. In the TO group choline and creatinine profiles were restored. Conclusions Alveolar tissue and fetal global growth ameliorated after TO. Metabolomics provided useful information on biochemical details during lung maturation. Metabolomic profiling would help to identify the best time to perform TO, in order to increase survival of CDH affected patients.
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Affiliation(s)
- Gloria Pelizzo
- Department of the Mother and Child Health, Pediatric Surgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia and University of Pavia, Piazzale Golgi 2, 27100 Pavia, Italy
| | - Maurizio Ballico
- Department of Medical and Biological Sciences, University of Udine, Udine, Italy
| | - Maria Chiara Mimmi
- Department of Medical and Biological Sciences, University of Udine, Udine, Italy
| | - José Louis Peirò
- Cincinnati Fetal Center. Pediatric Surgery Division, CCHMC, Cincinnati, OH USA
| | - Mario Marotta
- Fetal Surgery Program, Congenital Malformations Research Group, Research Institute of Hospital Universitari Vall d'Hebron, Edifici Infantil, Barcelona, Spain
| | - Costanzo Federico
- Department of the Mother and Child Health, Pediatric Surgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia and University of Pavia, Piazzale Golgi 2, 27100 Pavia, Italy
| | - Erika Andreatta
- Department of the Mother and Child Health, Pediatric Surgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia and University of Pavia, Piazzale Golgi 2, 27100 Pavia, Italy
| | - Ghassan Nakib
- Department of the Mother and Child Health, Pediatric Surgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia and University of Pavia, Piazzale Golgi 2, 27100 Pavia, Italy
| | - Maurilio Sampaolesi
- Laboratory of Translational Cardiomyology, Stem Cell Interdepartmental Institute, KU Leuven and Human Anatomy, University of Pavia, Pavia, Italy
| | - Elisa Zambaiti
- Department of the Mother and Child Health, Pediatric Surgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia and University of Pavia, Piazzale Golgi 2, 27100 Pavia, Italy
| | - Valeria Calcaterra
- Department of the Mother and Child Health, Pediatric Surgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia and University of Pavia, Piazzale Golgi 2, 27100 Pavia, Italy ; Department of Internal Medicine, University of Pavia, Pavia, Italy
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Wei Q, Xiao X, Fogle P, Dong Z. Changes in metabolic profiles during acute kidney injury and recovery following ischemia/reperfusion. PLoS One 2014; 9:e106647. [PMID: 25191961 PMCID: PMC4156324 DOI: 10.1371/journal.pone.0106647] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Accepted: 08/06/2014] [Indexed: 01/09/2023] Open
Abstract
Changes of metabolism have been implicated in renal ischemia/reperfusion injury (IRI). However, a global analysis of the metabolic changes in renal IRI is lacking and the association of the changes with ischemic kidney injury and subsequent recovery are unclear. In this study, mice were subjected to 25 minutes of bilateral renal IRI followed by 2 hours to 7 days of reperfusion. Kidney injury and subsequent recovery was verified by serum creatinine and blood urea nitrogen measurements. The metabolome of plasma, kidney cortex, and medulla were profiled by the newly developed global metabolomics analysis. Renal IRI induced overall changes of the metabolome in plasma and kidney tissues. The changes started in renal cortex, followed by medulla and plasma. In addition, we identified specific metabolites that may contribute to early renal injury response, perturbed energy metabolism, impaired purine metabolism, impacted osmotic regulation and the induction of inflammation. Some metabolites, such as 3-indoxyl sulfate, were induced at the earliest time point of renal IRI, suggesting the potential of being used as diagnostic biomarkers. There was a notable switch of energy source from glucose to lipids, implicating the importance of appropriate nutrition supply during treatment. In addition, we detected the depressed polyols for osmotic regulation which may contribute to the loss of kidney function. Several pathways involved in inflammation regulation were also induced. Finally, there was a late induction of prostaglandins, suggesting their possible involvement in kidney recovery. In conclusion, this study demonstrates significant changes of metabolome kidney tissues and plasma in renal IRI. The changes in specific metabolites are associated with and may contribute to early injury, shift of energy source, inflammation, and late phase kidney recovery.
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Affiliation(s)
- Qingqing Wei
- Department of Cellular Biology and Anatomy, Medical College of Georgia, Georgia Regents University and Charlie Norwood VA Medical Center, Augusta, Georgia, United States of America
| | - Xiao Xiao
- Department of Cellular Biology and Anatomy, Medical College of Georgia, Georgia Regents University and Charlie Norwood VA Medical Center, Augusta, Georgia, United States of America
- Wuhan University, Wuhan, Hubei, China
| | - Paul Fogle
- Metabolon Inc, Durham, North Carolina, United States of America
| | - Zheng Dong
- Department of Cellular Biology and Anatomy, Medical College of Georgia, Georgia Regents University and Charlie Norwood VA Medical Center, Augusta, Georgia, United States of America
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- * E-mail:
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