scholarly journals 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 Advances ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 1552-1571
Author(s):  
Yan-chun Sun ◽  
Shi-cheng Han ◽  
Ming-zhu Yao ◽  
Hong-bai Liu ◽  
Yu-mei Wang
Keyword(s):  
Adaptive Evolution ◽  
High Throughput ◽  
Physiological Mechanisms ◽  
Carbonate Alkalinity ◽  
Alkali Tolerance ◽  
Metabolic Biomarkers ◽  
Metabolomics Analysis

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.

scholarly journals High-Throughput Metabolomics Method for Discovering Metabolic Biomarkers and Pathways to Reveal Effects and Molecular Mechanism of Ethanol Extract From Epimedium Against Osteoporosis

2020 ◽  
Vol 11 ◽  
Author(s):  
Jun-feng Zhao ◽  
Jian-yu Xu ◽  
Yi-er Xu ◽  
Shui-lin Chen ◽  
Yan-xing Guo ◽  
...  
Keyword(s):  
Molecular Mechanism ◽  
High Throughput ◽  
Ethanol Extract ◽  
Metabolic Biomarkers

scholarly journals High-throughput system metabolomics method reveals new mechanistic insights of chlorogenic acid by using liquid chromatography coupled to high resolution mass spectrometry

RSC Advances ◽  
2018 ◽  
Vol 8 (13) ◽  
pp. 7205-7212 ◽  
Author(s):  
Yu Zhang ◽  
Yunxia Xiu ◽  
Chunna Ren ◽  
Cui Chen
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
High Resolution ◽  
Chlorogenic Acid ◽  
High Throughput ◽  
High Resolution Mass Spectrometry ◽  
High Resolution Mass ◽  
Metabolic Biomarkers ◽  
Resolution Mass

It has increasingly been recognized that metabolism is highly interconnected with disease, and system metabolomics studies have aimed to discover metabolic biomarkers and analyze the pathways of metabolome phenotypes.

scholarly journals Metabolomic Signatures of Autoimmune Hepatitis in the Development of Cirrhosis

2021 ◽  
Vol 8 ◽  
Author(s):  
Shan-shan Li ◽  
Ming Niu ◽  
Jing Jing ◽  
Ying Huang ◽  
Zi-teng Zhang ◽  
...  
Keyword(s):  
Autoimmune Hepatitis ◽  
Energy Supply ◽  
Decompensated Cirrhosis ◽  
Liver Inflammation ◽  
Compensated Cirrhosis ◽  
Persistent Inflammation ◽  
Underlying Mechanisms ◽  
Metabolic Biomarkers ◽  
Sera Samples ◽  
Metabolomics Analysis

Objectives: Autoimmune hepatitis (AIH) can progress into severe outcomes, i.e., decompensated cirrhosis, from remarkable and persistent inflammation in the liver. Considering the energy-expending nature of inflammation, we tried to define the metabolomics signatures of AIH to uncover the underlying mechanisms of cirrhosis development and its metabolic biomarkers.Methods: Untargeted metabolomics analysis was performed on sera samples from 79 AIH patients at the stages (phenotypes) of non-cirrhosis (n = 27), compensated cirrhosis (n = 22), and decompensated cirrhosis (n = 30). Pattern recognition was used to find unique metabolite fingerprints of cirrhosis with or without decompensation.Results: Out of the 294 annotated metabolites identified, 2 metabolic fingerprints were found associated with the development of cirrhosis (independent of the decompensated state, 42 metabolites) and the evolution of decompensated cirrhosis (out of 47 metabolites), respectively. The cirrhosis-associated fingerprints (eigenmetabolite) showed better capability to differentiate cirrhosis from non-cirrhosis patients than the aminotransferase-to-platelet ratio index. From the metabolic fingerprints, we found two pairs of metabolites (Mesobilirubinogen/6-Hydroxynicotinic acid and LysoPA(8:0/0:0)/7alpha-Hydroxycholesterol) calculated as ratio of intensities, which revealed robust abilities to identify cirrhosis or predict decompensated patients, respectively. These phenotype-related fingerprint metabolites featured fundamental energy supply disturbance along with the development of AIH cirrhosis and progression to decompensation, which was characterized as increased lipolysis, enhanced proteolysis, and increased glycolysis.Conclusions: Remodeling of metabolism to meet the liver inflammation-related energy supply is one of the key signatures of AIH in the development of cirrhosis and decompensation. Therefore, drug regulation metabolism has great potential in the treatment of AIH.

scholarly journals Using high-throughput metabolomics to discover perturbed metabolic pathways and biomarkers of allergic rhinitis as potential targets to reveal the effects and mechanism of geniposide

RSC Advances ◽  
2019 ◽  
Vol 9 (30) ◽  
pp. 17490-17500
Author(s):  
Yan-Li Zhang ◽  
Peng-Cheng Yu ◽  
Peng Liu
Keyword(s):  
Allergic Rhinitis ◽  
High Throughput ◽  
Metabolic Pathways ◽  
Molecular Mechanisms ◽  
Metabolic Biomarkers ◽  
Experimental Allergic

In this study, we probed the molecular mechanisms of metabolic biomarkers and pathways affected by the bioactive ingredient geniposide (GP), which was shown to protect against experimental allergic rhinitis in mice.

scholarly journals High-throughput liquid chromatography mass-spectrometry-driven lipidomics discover metabolic biomarkers and pathways as promising targets to reveal the therapeutic effects of the Shenqi pill

RSC Advances ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 2347-2358 ◽  
Author(s):  
Wen-xiu Li ◽  
Ai-hua Zhang ◽  
Xiao-hang Zhou ◽  
Yang Nan ◽  
Qi Liu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
High Throughput ◽  
Drug Efficacy ◽  
Disease Status ◽  
Therapeutic Effects ◽  
Liquid Chromatography Mass Spectrometry ◽  
Powerful Technique ◽  
Chromatography Mass Spectrometry ◽  
Metabolic Biomarkers

Lipidomics, a branch of metabonomics, could provide a powerful technique for discovery of lipid molecules to reveal disease status and drug efficacy.

High-throughput metabolic profiling for discovering metabolic biomarkers of sepsis-induced acute lung injury

RSC Advances ◽  
2016 ◽  
Vol 6 (13) ◽  
pp. 11008-11013 ◽  
Author(s):  
Qun Liang ◽  
Han Liu ◽  
Yan Jiang ◽  
Haitao Xing ◽  
Tianyu Zhang ◽  
...  
Keyword(s):  
Intensive Care ◽  
Acute Lung Injury ◽  
Early Detection ◽  
Lung Injury ◽  
Intensive Care Units ◽  
Cause Of Death ◽  
High Throughput ◽  
Metabolic Profiling ◽  
Effective Diagnosis ◽  
Metabolic Biomarkers

Sepsis-induced acute lung injury (ALI) remains a leading cause of death in intensive care units and early detection is very important. This work showed that metabolite phenotype profiling might be a useful tool for the effective diagnosis and further understanding of ALI.

scholarly journals Discovery of potential therapeutic targets for non-small cell lung cancer using high-throughput metabolomics analysis based on liquid chromatography coupled with tandem mass spectrometry

RSC Advances ◽  
2019 ◽  
Vol 9 (19) ◽  
pp. 10905-10913 ◽  
Author(s):  
Hong-dan Xu ◽  
Wen Luo ◽  
Yuanlong Lin ◽  
Jiawen Zhang ◽  
Lijuan Zhang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
High Throughput ◽  
Cell Lung Cancer ◽  
Therapeutic Targets ◽  
Small Cell ◽  
Tandem Mass ◽  
Small Cell Lung ◽  
Metabolomics Analysis

High-throughput metabolomics can discover potential therapeutic targets for non-small cell lung cancer.

Sign in / Sign up

Export Citation Format

Share Document