Metabolomic profiling reveals plasma GlycA and GlycB as a potential biomarkers for treatment efficiency in rheumatoid arthritis

被引:14
|
作者
Dudka, Ilona [1 ]
Chachaj, Angelika [2 ]
Sebastian, Agata [3 ]
Tanski, Wojciech [4 ]
Stenlund, Hans [5 ]
Grobner, Gerhard [1 ]
Szuba, Andrzej [2 ]
机构
[1] Umea Univ, Dept Chem, Linnaeus Vag 6, S-90187 Umea, Sweden
[2] Wroclaw Med Univ, Dept Angiol Hypertens & Diabetol, Wroclaw, Poland
[3] Wroclaw Med Univ, Dept Rheumatol & Internal Med, Wroclaw, Poland
[4] 4th Mil Hosp, Dept Internal Med, Wroclaw, Poland
[5] Umea Univ, Dept Mol Biol, Umea, Sweden
基金
瑞典研究理事会;
关键词
Rheumatoid arthritis; Metabolomics; Biological treatment; Biomarkers; GlycA/GlycB; DISEASE; NMR;
D O I
10.1016/j.jpba.2021.113971
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this pilot study, we carried out metabolic profiling of patients with rheumatoid arthritis (RA) starting therapy with biological disease-modifying antirheumatic drugs (bDMARDs). The main aim of the study was to assess the occurring metabolic changes associated with therapy success and metabolic pathways involved. In particular, the potential of the metabolomics profiles was evaluated as therapeutically valuable prognostic indicators of the effectiveness of bDMARD treatment to identify responders versus non-responders prior to implementing treatment. Plasma metabolomic profiles of twenty-five patients with RA prior bDMARD treatment and after three months of therapy were obtained by H-1 NMR, liquid chromatography - mass spectrometry, and gas chromatography - mass spectrometry and evaluated by statistical and multivariate analyses. In the group of responders, significant differences in their metabolic patterns were seen after three months of the bDMARD therapy compared with profiles prior to treatment. We identified 24 metabolites that differed significantly between these two-time points mainly belonging to amino acid metabolism, peptides, lipids, cofactors, and vitamins and xenobiotics. Eleven metabolites differentiated responders versus non-responders before treatment. Additionally, N-acetylglucosamine and N-acetylgalactosamine (GlycA) and N-acetylneuraminic acid (GlycB) persisted significant in comparison responders to nonresponders after three months of therapy. Moreover, those two metabolites indicated prediction of response potential by results of receiver-operating characteristic (ROC) curve analysis. The applied analysis provides novel insights into the metabolic pathways involved in RA patient's response to bDMARD and therapy effectiveness. GlycA and GlycB are promising biomarkers to identify responding patients prior onset of bDMARD therapy. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Plasma metabolomic profiling reveals potential onset of lay biomarkers in broiler breeders
    Afrouziyeh, Mohammad
    Zukiwsky, Nicole M.
    Korver, Douglas R.
    Zuidhof, Martin J.
    POULTRY SCIENCE, 2022, 101 (01)
  • [2] Plasma metabolomic profiling as a tool to identify predictive biomarkers of methotrexate efficacy in rheumatoid arthritis
    Medcalf, Matthew R.
    Bantis, Leonidas E.
    Shi, Peng
    Bhadbhade, Pooja
    Gundry, Rebekah L.
    Mikuls, Ted R.
    England, Bryant R.
    O'Dell, James R.
    Funk, Ryan S.
    SEMINARS IN ARTHRITIS AND RHEUMATISM, 2022, 56
  • [3] Serum metabolomic profiling reveals potential biomarkers in systemic sclerosis
    Guo, Muyao
    Liu, Di
    Jiang, Yu
    Chen, Weilin
    Zhao, Lijuan
    Bao, Ding
    Li, Yisha
    Distler, Jorg H. W.
    Zhu, Honglin
    METABOLISM-CLINICAL AND EXPERIMENTAL, 2023, 144
  • [4] Global metabolomic profiling of human synovial fluid for rheumatoid arthritis biomarkers
    Carlson, Alyssa K.
    Rawle, Rachel A.
    Wallace, Cameron W.
    Adams, Erik
    Greenwood, Mark C.
    Bothner, Brian
    June, Ronald K.
    CLINICAL AND EXPERIMENTAL RHEUMATOLOGY, 2019, 37 (03) : 393 - 399
  • [5] Serum Metabolomic Profiling Identifies Potential Biomarkers in Arthritis in the Elderly
    Cedeno, Martha
    Saich, Jessica Murillo
    Coras, Roxana
    Brandy-Garcia, Anahy Maria
    Prior-Espanol, Agueda
    Mateo, Lourdes
    Martinez-Morillo, Melania
    Guma, Monica
    ARTHRITIS & RHEUMATOLOGY, 2021, 73 : 2266 - 2269
  • [6] Metabolomic profiling of plasma reveals potential biomarkers for screening and early diagnosis of gastric cancer and precancerous stages
    Du, Lijing
    Li, Shasha
    Xiao, Xue
    Li, Jin
    Sun, Yuanfang
    Ji, Shuai
    Jin, Huizi
    Hua, Zhaolai
    Ma, Juming
    Wang, Xi
    Yan, Shikai
    MEDCOMM-ONCOLOGY, 2023, 2 (02):
  • [7] Plasma Microrna Profiling Reveals Potential Biomarkers of Thiazide Response
    Chekka, Lakshmi Manasa S.
    Langaee, Taimour Y.
    Wang, Danxin
    Rolf, Renne
    Chapman, Arlene B.
    Gums, John
    Turner, Stephen T.
    Cooper-Dehoff, Rhonda M.
    Johnson, Julie A.
    CIRCULATION, 2020, 142
  • [8] Plasma Metabolomic Profiling Reveals Preliminary Biomarkers of Pork Quality Based on pH Value
    Shen, Linyuan
    Ma, Jianfeng
    Zhou, Haodi
    Chen, Lei
    Tang, Jie
    Zhang, Kaige
    Zhao, Ye
    Niu, Lili
    Zhang, Shunhua
    Jiang, Anan
    Wang, Jinyong
    Guo, Zongyi
    Li, Xuewei
    Chen, Yiwu
    Gan, Mailin
    Zhu, Li
    FOODS, 2022, 11 (24)
  • [9] Serum metabolomic and lipidomic profiling identifies diagnostic biomarkers for seropositive and seronegative rheumatoid arthritis patients
    Hemi Luan
    Wanjian Gu
    Hua Li
    Zi Wang
    Lu Lu
    Mengying Ke
    Jiawei Lu
    Wenjun Chen
    Zhangzhang Lan
    Yanlin Xiao
    Jinyue Xu
    Yi Zhang
    Zongwei Cai
    Shijia Liu
    Wenyong Zhang
    Journal of Translational Medicine, 19
  • [10] Serum metabolomic and lipidomic profiling identifies diagnostic biomarkers for seropositive and seronegative rheumatoid arthritis patients
    Luan, Hemi
    Gu, Wanjian
    Li, Hua
    Wang, Zi
    Lu, Lu
    Ke, Mengying
    Lu, Jiawei
    Chen, Wenjun
    Lan, Zhangzhang
    Xiao, Yanlin
    Xu, Jinyue
    Zhang, Yi
    Cai, Zongwei
    Liu, Shijia
    Zhang, Wenyong
    JOURNAL OF TRANSLATIONAL MEDICINE, 2021, 19 (01)