1
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Shi Z, Zou S, Shen Z, Luan F, Yan J. High-throughput metabolomics using UPLC/Q-TOF-MS coupled with multivariate data analysis reveals the effect and mechanism of syringin against ovariectomized osteoporosis. J Chromatogr B Analyt Technol Biomed Life Sci 2021; 1183:122957. [PMID: 34666892 DOI: 10.1016/j.jchromb.2021.122957] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 03/28/2021] [Accepted: 09/25/2021] [Indexed: 12/15/2022]
Abstract
Osteoporosis is an increasing public health problem in the worldwide and has caused socioeconomic burden. Natural products as candidates have the potential to promote bone formation and suppress bone resorption for osteoporosis treatment. Previously, syringin has showed the potent anti-osteoporosis activity, however the detailed mechanism of syringin against osteoporosis is still unclear. This study aimed to reveal the pharmacological effect and mechanism of syringin through the high-throughput metabolomics. In this study, metabolomics techniques were used to explore the metabolic biomarkers and profiles provides deep insights into the pharmacological effects and mechanism of syringin against osteoporosis. The metabolite biomarkers were monitored based on the high-resolution mass spectrometry. By the integration analysis of metabolomics technology, a total of 23 metabolic biomarkers were discovered and we found the highly relevant pathway involved in glycine and serine metabolism, butyrate metabolism, methionine metabolism, catecholamine biosynthesis, tyrosine metabolism, etc. Interestingly, synthesis and degradation of ketone bodies, phenylalanine, tyrosine and tryptophan biosynthesis, arachidonic acid metabolism, tyrosine metabolism, glycine, serine and threonine metabolism, butanoate metabolism, was related with efficacy of syringin. The present work showed that the metabolomics technology can provide novel strategies for revealing insights into the metabolic effects and action mechanism of drug.
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Affiliation(s)
- Zhenxing Shi
- Orthopedics and Oncology Department, Second Affiliated Hospital of Medical University of Heilongjiang Province, Harbin 150086, China
| | - Shifeng Zou
- Intensive Care Unit Department, First Affiliated Hospital of Medical University of Heilongjiang Province, Harbin, China
| | - Zilong Shen
- Intensive Care Unit Department, First Affiliated Hospital of Medical University of Heilongjiang Province, Harbin, China
| | - Feiyu Luan
- Orthopedics and Oncology Department, Second Affiliated Hospital of Medical University of Heilongjiang Province, Harbin 150086, China
| | - Jianglong Yan
- Orthopedics and Oncology Department, Second Affiliated Hospital of Medical University of Heilongjiang Province, Harbin 150086, China.
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2
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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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3
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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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4
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Gao X, Hu X, Zhang Q, Wang X, Wen X, Wang Y, Zhang Y, Sun W. Characterization of chemical constituents and absorbed components, screening the active components of gelanxinning capsule and an evaluation of therapeutic effects by ultra‐high performance liquid chromatography with quadrupole time of flight mass spectrometry. J Sep Sci 2019; 42:3439-3450. [DOI: 10.1002/jssc.201900942] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 09/17/2019] [Indexed: 11/08/2022]
Affiliation(s)
- Xin Gao
- Department of Pharmacognosy, School of PharmacyXi'an Jiaotong University Xi'an Shaanxi P. R. China
| | - Xiaohu Hu
- Xi'an Chiho Pharmaceutical Co., Ltd Xi'an Shaanxi P. R. China
| | - Qiong Zhang
- Xi'an Chiho Pharmaceutical Co., Ltd Xi'an Shaanxi P. R. China
| | - Xijing Wang
- Xi'an Xintong Pharmaceutical Research Co., Ltd Xi'an Shaanxi P. R. China
| | - Xiuhong Wen
- Xi'an Xintong Pharmaceutical Research Co., Ltd Xi'an Shaanxi P. R. China
| | - Yuan Wang
- Xi'an Xintong Pharmaceutical Research Co., Ltd Xi'an Shaanxi P. R. China
| | - Yanxia Zhang
- Xi'an Xintong Pharmaceutical Research Co., Ltd Xi'an Shaanxi P. R. China
| | - Wenjun Sun
- Xi'an Xintong Pharmaceutical Research Co., Ltd Xi'an Shaanxi P. R. China
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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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López-López Á, López-Gonzálvez Á, Barker-Tejeda TC, Barbas C. A review of validated biomarkers obtained through metabolomics. Expert Rev Mol Diagn 2018; 18:557-575. [PMID: 29808702 DOI: 10.1080/14737159.2018.1481391] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Studying changes in the whole set of small molecules, final products of biochemical reactions in living systems or metabolites, is extremely appealing because they represent the best approach to identifying what occurs in an organism when samples are collected. However, their usefulness as potential biomarkers is limited by discoveries obtained in small groups without proper validation or even confirmation of the chemical structure. Areas covered: During the past 5 years, more than 900 papers have been published on metabolomics for biomarker discovery, but the numbers are much lower when some criteria of validation are applied. In total, 102 papers have been included in this review. The most frequent disease areas in which these markers have been discovered include the following: cancer, diabetes, and related diseases and neurodegenerative, cardiovascular, autoimmune, liver, and kidney diseases. Expert commentary: Metabolomics has been demonstrated as rapidly growing due to the improvements in instrumentation, mainly mass spectrometry, and data mining software. For application in the clinic, the results should be validated in different stages, from analytical validation to validation in independent sets of samples, using thousands of samples from different sources.
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Affiliation(s)
- Ángeles López-López
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Ángeles López-Gonzálvez
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Tomás Clive Barker-Tejeda
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Coral Barbas
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
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7
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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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8
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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: 10] [Impact Index Per Article: 1.7] [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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9
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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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10
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Hu Y, Zhang X, Shan Y. LC-MS-based plasma metabolomics reveals metabolic variations in ovariectomy-induced osteoporosis in female Wistar rats. RSC Adv 2018; 8:24932-24941. [PMID: 35542168 PMCID: PMC9082330 DOI: 10.1039/c8ra03629b] [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: 04/27/2018] [Accepted: 06/24/2018] [Indexed: 12/14/2022] Open
Abstract
Osteoporosis with a reduction in bone mineral density has become one of the most common metabolic bone diseases.
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Affiliation(s)
- Yan Hu
- Clinical Laboratory
- The First People's Hospital of Wujiang
- Wujiang Hospital Affiliated to Nantong University
- Soochow
- China
| | - Xiaojian Zhang
- Department of Orthopedics
- The First People's Hospital of Wujiang
- Wujiang Hospital Affiliated to Nantong University
- Soochow
- China
| | - Yu Shan
- Department of Orthopedics
- The First People's Hospital of Wujiang
- Wujiang Hospital Affiliated to Nantong University
- Soochow
- China
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11
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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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12
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Liang Q, Liu H, Xie L, Li X, Ai H. High-throughput and multi-dimensional omics approach uncovers a huaxian capsule to ameliorate the dysregulated expression profiling of severe sepsis rats. RSC Adv 2017. [DOI: 10.1039/c6ra28337c] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Multi-dimensional omics could be helpful to interpret the underlying mechanisms of disease.
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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
| | - Lixiang Xie
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Xue Li
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Huazhang Ai
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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13
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Liang Q, Zhu Y, Liu H, Li B, Zhang AH. High-throughput lipidomics enables discovery of the mode of action of huaxian capsule impacting the metabolism of sepsis. RSC Adv 2017. [DOI: 10.1039/c7ra07873k] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Severe sepsis (SS) is a major cause of mortality and morbidity in the intensive care unit and requires rapid diagnosis and treatment.
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Affiliation(s)
- Qun Liang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Yongzhi Zhu
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Han Liu
- Simon Fraser University (SFU)
- Burnaby
- Canada
| | - Bingbing Li
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Ai-Hua Zhang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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14
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Zhang Y, Liu P, Li Y, Zhang AH. Exploration of metabolite signatures using high-throughput mass spectrometry coupled with multivariate data analysis. RSC Adv 2017. [DOI: 10.1039/c6ra27461g] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Disease impacts important metabolic pathways and the alteration of metabolites may serve as a potential biomarker for early-stage diagnosis.
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Affiliation(s)
- Yanli Zhang
- Experiment Center
- College of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Peng Liu
- Experiment Center
- College of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Yuanfeng Li
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Ai-Hua Zhang
- Experiment Center
- College of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
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15
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Liang Q, Liu H, Jiang Y, Xing H, Zhang T, Zhang AH. Discovering lipid phenotypic changes of sepsis-induced lung injury using high-throughput lipidomic analysis. RSC Adv 2016. [DOI: 10.1039/c6ra03979k] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
The aim of this study was to use lipidomics to identify lipid molecules that could predict patients with sepsis-induced lung injury.
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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
| | - Yan Jiang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Haitao Xing
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Tianyu Zhang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Ai-Hua Zhang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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16
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Liang Q, Liu H, Xing H, Jiang Y, Zhang AH. UPLC-QTOF/MS based metabolomics reveals metabolic alterations associated with severe sepsis. RSC Adv 2016. [DOI: 10.1039/c6ra07514b] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Severe sepsis (SS) remains among the leading causes of death in both developed and developing countries.
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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
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Haitao Xing
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Yan Jiang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Ai-Hua Zhang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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17
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Wang X, Li J, Zhang AH. Urine metabolic phenotypes analysis of extrahepatic cholangiocarcinoma disease using ultra-high performance liquid chromatography-mass spectrometry. RSC Adv 2016. [DOI: 10.1039/c6ra09430a] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Extrahepatic cholangiocarcinoma (ECC) is the second most common type of malignant primary tumor with a poor survival rate and an increasing global trend.
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Affiliation(s)
- Xinxin Wang
- Heilongjiang Province Land Reclamation Headquarters General Hospital
- Heilongjiang Agriculture and Reclamation Bureau
- Harbin 150088
- China
| | - Jun Li
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Ai-Hua Zhang
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
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18
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Liang Q, Liu H, Xing H, Jiang Y, Zhang T, Zhang AH. High-resolution mass spectrometry for exploring metabolic signatures of sepsis-induced acute kidney injury. RSC Adv 2016. [DOI: 10.1039/c6ra01192f] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Sepsis is a commonly encountered scenario in an intensive care unit (ICU), and the kidney is one of the organs frequently affected.
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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
| | - Haitao Xing
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Yan Jiang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Tianyu Zhang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Ai-Hua Zhang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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19
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Liang Q, Liu H, Xing H, Jiang Y, Zhang AH. Urinary UPLC-MS metabolomics dissecting the underlying mechanisms of Huaxian capsule protects against sepsis. RSC Adv 2016. [DOI: 10.1039/c6ra07987c] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Urinary UPLC-MS metabolomics could dissect the underlying mechanisms of HXC protects against SS.
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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
| | - Haitao Xing
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Yan Jiang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Ai-Hua Zhang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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20
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Liang Q, Liu H, Li X, Zhang AH. High-throughput metabolomics analysis discovers salivary biomarkers for predicting mild cognitive impairment and Alzheimer's disease. RSC Adv 2016. [DOI: 10.1039/c6ra16802g] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Mild cognitive impairment (MCI) confers an increased risk of developing Alzheimer's disease (AD).
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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
- Burnaby
- Canada
| | - Xue Li
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Ai-Hua Zhang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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