Literature DB >> 36127550

Serum metabolite differences detected by HILIC UHPLC-Q-TOF MS in systemic sclerosis.

Chen Sun1, Huimin Zhu1, Yun Wang1, Yichen Han1, Dongdong Zhang1, Xi Cao1, Mihribangvl Alip1, Min Nie1, Xue Xu1, Liangjing Lv2, Xuebing Feng3, Lingyun Sun4, Dandan Wang5.   

Abstract

BACKGROUND: Systemic sclerosis (SSc) is a chronic autoimmune disease characterized by extensive fibrosis and vascular damage. Vasculopathy, activation of the immune system, and diffuse fibrosis are all involved in the fatal pathogenesis of SSc. However, little metabolomic research has been conducted in SSc.
METHODS: This study included 30 SSc patients and 30 healthy individuals. The metabolite differences in serum samples were analyzed using ultra-high-pressure liquid chromatography and quadrupole-time-of-flight mass spectrometry. Meanwhile, serum metabolites were analyzed in patients with systemic involvement (lung or skin fibrosis).
RESULTS: A total of 2360 ion peaks were detected, all of which were attributable to 38 metabolites. These metabolites primarily consisted of fatty acids, amino acids, and glycerophospholipids, which were the major metabolic pathways altered in SSc patients. Glutamine metabolism was the main pathway altered in SSc patients with lung involvement, whereas amino acid metabolism and steroid hormone biosynthesis were the main pathways altered in SSc patients with skin involvement.
CONCLUSION: These findings suggested that metabolic profiles and pathways differed between SSc patients and healthy people, potentially providing new targets for SSc-directed therapeutics and diagnostics. Key Points • Metabolic profiles and pathways differed between SSc patients and healthy people. • The levels of trans-dehydroandrosterone are substantially lower in lcSSc than in dcSSc, potentially providing new targets for SSc patients with skin involvement. • L-glutamine could be used as a serum metabolic marker and a therapeutic target for SSc patients with lung involvement.
© 2022. The Author(s), under exclusive licence to International League of Associations for Rheumatology (ILAR).

Entities:  

Keywords:  Amino acids; Fatty acids; Liquid chromatography-mass spectrometry; Metabolomics; Systemic sclerosis

Year:  2022        PMID: 36127550     DOI: 10.1007/s10067-022-06372-z

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   3.650


  24 in total

1.  2013 classification criteria for systemic sclerosis: an American College of Rheumatology/European League against Rheumatism collaborative initiative.

Authors:  Frank van den Hoogen; Dinesh Khanna; Jaap Fransen; Sindhu R Johnson; Murray Baron; Alan Tyndall; Marco Matucci-Cerinic; Raymond P Naden; Thomas A Medsger; Patricia E Carreira; Gabriela Riemekasten; Philip J Clements; Christopher P Denton; Oliver Distler; Yannick Allanore; Daniel E Furst; Armando Gabrielli; Maureen D Mayes; Jacob M van Laar; James R Seibold; Laszlo Czirjak; Virginia D Steen; Murat Inanc; Otylia Kowal-Bielecka; Ulf Müller-Ladner; Gabriele Valentini; Douglas J Veale; Madelon C Vonk; Ulrich A Walker; Lorinda Chung; David H Collier; Mary Ellen Csuka; Barri J Fessler; Serena Guiducci; Ariane Herrick; Vivien M Hsu; Sergio Jimenez; Bashar Kahaleh; Peter A Merkel; Stanislav Sierakowski; Richard M Silver; Robert W Simms; John Varga; Janet E Pope
Journal:  Arthritis Rheum       Date:  2013-10-03

Review 2.  Metabolomics: A Primer.

Authors:  Xiaojing Liu; Jason W Locasale
Journal:  Trends Biochem Sci       Date:  2017-02-11       Impact factor: 13.807

Review 3.  Mortality in systemic sclerosis: lessons learned from population-based and observational cohort studies.

Authors:  Mandana Nikpour; Murray Baron
Journal:  Curr Opin Rheumatol       Date:  2014-03       Impact factor: 5.006

Review 4.  Innovation: Metabolomics: the apogee of the omics trilogy.

Authors:  Gary J Patti; Oscar Yanes; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2012-03-22       Impact factor: 94.444

5.  Lipidomic and metabolomic profiling reveals novel candidate biomarkers in active systemic lupus erythematosus.

Authors:  Yuhua Li; Ling Liang; Xiaoli Deng; Lijun Zhong
Journal:  Int J Clin Exp Pathol       Date:  2019-03-01

Review 6.  Systemic sclerosis.

Authors:  Christopher P Denton; Dinesh Khanna
Journal:  Lancet       Date:  2017-04-13       Impact factor: 79.321

7.  Metabolic Disturbances in Urinary and Plasma Samples from Seven Different Systemic Autoimmune Diseases Detected by HPLC-ESI-QTOF-MS.

Authors:  Álvaro Fernández-Ochoa; Carl Brunius; Isabel Borrás-Linares; Rosa Quirantes-Piné; María de la Luz Cádiz-Gurrea; Marta E Alarcón Riquelme; Antonio Segura-Carretero
Journal:  J Proteome Res       Date:  2020-06-08       Impact factor: 4.466

Review 8.  Metabolomics-based methods for early disease diagnostics.

Authors:  G A Nagana Gowda; Shucha Zhang; Haiwei Gu; Vincent Asiago; Narasimhamurthy Shanaiah; Daniel Raftery
Journal:  Expert Rev Mol Diagn       Date:  2008-09       Impact factor: 5.225

Review 9.  Systemic sclerosis.

Authors:  Yannick Allanore; Robert Simms; Oliver Distler; Maria Trojanowska; Janet Pope; Christopher P Denton; John Varga
Journal:  Nat Rev Dis Primers       Date:  2015-04-23       Impact factor: 52.329

10.  Plasma Metabolomic Profiling Reveals Four Possibly Disrupted Mechanisms in Systemic Sclerosis.

Authors:  Thomas Bögl; Franz Mlynek; Markus Himmelsbach; Norbert Sepp; Wolfgang Buchberger; Marija Geroldinger-Simić
Journal:  Biomedicines       Date:  2022-03-04
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