Literature DB >> 26856389

Urinary metabolite profiling provides potential differentiation to explore the mechanisms of adjuvant-induced arthritis in rats.

Hui Jiang1,2, Jian Liu1, Ting Wang3, Jia-Rong Gao1, Yue Sun1, Chuan-Bing Huang1, Mei Meng1, Xiu-Juan Qin3.   

Abstract

To explore the pathogenesis of rheumatoid arthritis (RA) from the perspective of metabolomics, gas chromatography time-of-flight mass spectrometry (GC-TOF/MS) technology was used to observe changes in the metabolic profiles of urine output from rats with adjuvant-induced arthritis (AA). Sprague-Dawley rats were randomly divided into a control group and an experimental group, with eight in each. Rats in the experimental group were induced by intracutaneous innoculation of 0.1 mL Freund's complete adjuvant to right paws. On day 20 after immunization, the metabolic profiles between rat control and experimental groups were compared by combining GC-TOF/MS technology with multivariate statistical approaches, including principal component analysis, partial least squares discriminant analysis and orthogonal projections to latent structures-discriminant analysis. Nine potential biomarkers were identified, including 2,2-dimethylsuccinic acid, tartronic acid, dehydroshikimic acid, hippuric acid, adenine, phenaceturic acid, l-dopa, 1,4-dihydroxy-2-naphthoic acid and melibiose. The findings indicate that the rats with AA are disturbed in metabolism of purine, amino acid, fat and energy. This study also demonstrates that the dysfunction in a range of biosynthetic and catabolic pathways, which leads to increased oxygen free radicals and inflammation, could cause underlying pathogenesis of RA.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  GC - TOF/MS; adjuvant arthritis; biomarker; metabolomics; urine

Mesh:

Year:  2016        PMID: 26856389     DOI: 10.1002/bmc.3697

Source DB:  PubMed          Journal:  Biomed Chromatogr        ISSN: 0269-3879            Impact factor:   1.902


  7 in total

1.  LncRNA LOC100912373 modulates PDK1 expression by sponging miR-17-5p to promote the proliferation of fibroblast-like synoviocytes in rheumatoid arthritis.

Authors:  Chang Fan; Xiaoya Cui; Sen Chen; Shaopeng Huang; Hui Jiang
Journal:  Am J Transl Res       Date:  2020-12-15       Impact factor: 4.060

2.  The related mechanism of complete Freund's adjuvant-induced chronic inflammation pain based on metabolomics analysis.

Authors:  Weibo Zhang; Jie Lyu; Juxiang Xu; Piao Zhang; Shuxia Zhang; Yeru Chen; Yongjie Wang; Gang Chen
Journal:  Biomed Chromatogr       Date:  2021-01-28       Impact factor: 1.902

3.  Astragaloside regulates lncRNA LOC100912373 and the miR‑17‑5p/PDK1 axis to inhibit the proliferation of fibroblast‑like synoviocytes in rats with rheumatoid arthritis.

Authors:  Hui Jiang; Chang Fan; Yunqi Lu; Xiaoya Cui; Jian Liu
Journal:  Int J Mol Med       Date:  2021-05-20       Impact factor: 4.101

4.  Effect of astragalosides on long non-coding RNA expression profiles in rats with adjuvant-induced arthritis.

Authors:  Hui Jiang; Fu-Rong Wu; Jian Liu; Xiu-Juan Qin; Nan-Nan Jiang; Wei-Ping Li
Journal:  Int J Mol Med       Date:  2019-07-22       Impact factor: 4.101

5.  lncRNAS56464.1 as a ceRNA promotes the proliferation of fibroblast‑like synoviocytes in experimental arthritis via the Wnt signaling pathway and sponges miR‑152‑3p.

Authors:  Hui Jiang; Jian Liu; Chang Fan; Jing Wang; Weiping Li
Journal:  Int J Mol Med       Date:  2021-01-15       Impact factor: 4.101

6.  Transcriptome-Wide High-Throughput m6A Sequencing of Differential m6A Methylation Patterns in the Human Rheumatoid Arthritis Fibroblast-Like Synoviocytes Cell Line MH7A.

Authors:  Hui Jiang; Kefeng Cao; Chang Fan; Xiaoya Cui; Yanzhen Ma; Jian Liu
Journal:  J Inflamm Res       Date:  2021-02-25

7.  Gut microbiota-derived metabolites in inflammatory diseases based on targeted metabolomics.

Authors:  Hui Xu; Li-Bin Pan; Hang Yu; Pei Han; Jie Fu; Zheng-Wei Zhang; Jia-Chun Hu; Xin-Yu Yang; Adili Keranmu; Hao-Jian Zhang; Meng-Meng Bu; Jian-Dong Jiang; Yan Wang
Journal:  Front Pharmacol       Date:  2022-09-27       Impact factor: 5.988

  7 in total

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