NMR-Based Serum Metabolomics of Patients with Takayasu Arteritis: Relationship with Disease Activity

被引:17
|
作者
Jain, Avinash [1 ]
Kumar, Dinesh [2 ]
Guleria, Anupam [2 ]
Misra, Durga Prasanna [1 ]
Zanwar, Abhishek [1 ]
Chaurasia, Smriti [1 ]
Kumar, Sandeep [1 ]
Kumar, Umesh [2 ]
Mishra, Shravan K. [1 ]
Goel, Ruchika [3 ]
Danda, Debashish [3 ]
Misra, Ramnath [1 ]
机构
[1] SGPGIMS, Dept Clin Immunol, Lucknow 226014, Uttar Pradesh, India
[2] Ctr Biomed Res, Lucknow 226014, Uttar Pradesh, India
[3] Christian Med Coll & Hosp, Vellore 632004, Tamil Nadu, India
关键词
Takayasu arteritis; disease activity; ITAS; metabolomics; NMR; BIOMARKER DISCOVERY; INFLAMMATION; ATHEROSCLEROSIS; DIAGNOSIS; CANCER;
D O I
10.1021/acs.jproteome.8b00456
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Takayasu arteritis (TA) is a large vessel vasculitis of unknown pathogenesis. Assessment of disease activity is a challenge, and there is an unmet need for relevant biomarker(s). In our previous study, NMR based serum metabolomics had revealed distinctive metabolic signatures in TA patients compared with age/sex matched healthy controls and systemic lupus erythematosus (SLE). In this study we investigate whether the metabolites correlate with disease activity. Patients with TA fulfilling American College of Rheumatology (ACR) criteria were enrolled, and disease activity was assessed using Indian Takayasu Clinical Activity Score using acute phase reactant erythrocyte sedimentation rate [ITAS-A (ESR)]. Sera were analyzed using 800 MHz NMR spectrometer to identify metabolites [based on partial least squares discriminant analysis (PLS-DA) VIP (variable importance in projection) score > 1.0 and permutation test, p-value <0.01]. 45 active and 53 inactive TA patients with median age 27 [(IQR) 22-35 years] and 27 [(IQR) 23-37 years], female to male ratio 3.5:1 and 4.9:1, and median duration of illness 5 [(IQR) 2-9 years] and 3 [(IQR) 1-6 years], respectively, were enrolled. The key metabolites with highest discriminatory potential in active TA (ITAS-A > 4) were glutamate and N-acetyl glycoprotein (NAG), both elevated, with area under the curve 0.775 and 0.769 (p-value <0.001). On follow up assessment, metabolic spectra started to differ with change in disease activity. This large cohort of patients revealed metabolic profiles discriminating between clinically active and inactive TA patients. It suggests glutamate and NAG have strong potential as biomarkers for disease activity in TA and may serve as a guide to therapy. We are now working to further validate these results in longitudinal studies.
引用
收藏
页码:3317 / 3324
页数:8
相关论文
共 50 条
  • [31] NMR-based metabolomics: From sample preparation to applications in nutrition research
    Brennan, Lorraine
    PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY, 2014, 83 : 42 - 49
  • [32] Metabolite Identification in NMR-based Metabolomics
    Bharti, Santosh Kumar
    Roy, Raja
    CURRENT METABOLOMICS, 2014, 2 (03) : 163 - 173
  • [33] Differentiation of Cultivation Sources of Ganoderma lucidum by NMR-based Metabolomics Approach
    Wen, He
    Kang, Sunmi
    Song, Youngmin
    Song, Yonghyun
    Sung, Sang Hyun
    Park, Sunghyouk
    PHYTOCHEMICAL ANALYSIS, 2010, 21 (01) : 73 - 79
  • [34] NMR-based metabolomics of mammalian cell and tissue cultures
    Nelly Aranibar
    Michael Borys
    Nancy A. Mackin
    Van Ly
    Nicholas Abu-Absi
    Susan Abu-Absi
    Matthias Niemitz
    Bernhard Schilling
    Zheng Jian Li
    Barry Brock
    Reb J. Russell
    Adrienne Tymiak
    Michael D. Reily
    Journal of Biomolecular NMR, 2011, 49 : 195 - 206
  • [35] NMR-based metabolomics of biofluids in cancer
    Giskeodegard, Guro F.
    Madssen, Torfinn S.
    Euceda, Leslie R.
    Tessem, May-Britt
    Moestue, Siver A.
    Bathen, Tone F.
    NMR IN BIOMEDICINE, 2019, 32 (10)
  • [36] NMR-based metabolomics of mammalian cell and tissue cultures
    Aranibar, Nelly
    Borys, Michael
    Mackin, Nancy A.
    Ly, Van
    Abu-Absi, Nicholas
    Abu-Absi, Susan
    Niemitz, Matthias
    Schilling, Bernhard
    Li, Zheng Jian
    Brock, Barry
    Russell, Reb J., II
    Tymiak, Adrienne
    Reily, Michael D.
    JOURNAL OF BIOMOLECULAR NMR, 2011, 49 (3-4) : 195 - 206
  • [37] Metabolic classification of herb plants by NMR-based metabolomics
    Kim, Hee-Eun
    Choi, Ye Hun
    Choi, Kwang-Ho
    Park, Ji Su
    Kim, Hyeon Su
    Jeon, Jun Hyeok
    Heu, Min Soo
    Shin, Dong-Seon
    Lee, Joon-Hwa
    JOURNAL OF THE KOREAN MAGNETIC RESONANCE SOCIETY, 2012, 16 (02): : 91 - 102
  • [38] NMR-Based Plant Metabolomics in Nutraceutical Research: An Overview
    Valentino, Giovanna
    Graziani, Vittoria
    D'Abrosca, Brigida
    Pacifico, Severina
    Fiorentino, Antonio
    Scognamiglio, Monica
    MOLECULES, 2020, 25 (06):
  • [39] NMR-based metabolomics study of canine bladder cancer
    Zhang, Jian
    Wei, Siwei
    Liu, Lingyan
    Gowda, G. A. Nagana
    Bonney, Patty
    Stewart, Jane
    Knapp, Deborah W.
    Raftery, Daniel
    BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE, 2012, 1822 (11): : 1807 - 1814
  • [40] Radiology and biomarkers in assessing disease activity in Takayasu arteritis
    Sun, Ying
    Huang, Qingrong
    Jiang, Lindi
    INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, 2019, 22 : 53 - 59