iTRAQ and PRM-Based Proteomic Analysis Provides New Insights into Mechanisms of Response to Triple Therapy in Patients with Rheumatoid Arthritis

被引:9
|
作者
Chen, Jian [1 ]
Li, Shu [1 ]
Ge, Yan [1 ]
Kang, Jin [1 ]
Liao, Jia-fen [1 ]
Du, Jin-feng [1 ]
Tian, Jing [1 ]
Xie, Xi [1 ]
Li, Fen [1 ]
机构
[1] Cent South Univ, Xiangya Hosp 2, Dept Rheumatol & Immunol, 139 Ren Min Middle Rd, Changsha 410011, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
rheumatoid arthritis; proteomics; effectiveness; disease modifying antirheumatic drugs; serotransferrin; INFLIXIMAB; BIOMARKERS; CRITERIA; HYPOXIA; CELLS;
D O I
10.2147/JIR.S340351
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: Approximately 30% of patients with rheumatoid arthritis (RA) respond poorly to combination therapy of multiple drugs. The molecular mechanisms of different responses to methotrexate + leflunomide + infliximab therapy in patients with RA were explored in this study. Methods: Infliximab was administered to patients with RA whose disease activity score was higher than 5.1 after 1 month of combination therapy with methotrexate and leflunomide. After 14 weeks of undergoing triple therapy, patients with RA were classified as responders and non-responders. Protein profiles at baseline and 14th week were investigated via isobaric tags for relative and absolute quantification (iTRAQ), and proteins with significant differ-ences >= 1.2 folds change or <= 0.8 folds change were defined as differentially expressed proteins (DEPs). Overlapping DEPs between responders and non-responders were confirmed by parallel reaction monitoring (PRM). Bioinformatic analyses were performed for DEPs. Results: The results revealed 5 non-responders (NRs) and 15 responders (Rs). iTRAQ analysis indicated 13 overlapping DEPs and included 6 opposite change DEPs such as testicular tissue protein Li 70, cofilin 1, fibrinogen beta chain, galectin-10, serotransferrin (TF) and albumin. The difference in serotransferrin between responders and non-responders confirmed by PRM was significant. Verification by PRM indicated that TF was elevated in the Rs group and was reduced in the NRs group. Bioinformatic analysis indicated that serotransferrin was involved in the hypoxia-inducible factor-1 pathway and ferroptosis. Conclusion: Serotransferrin-related molecular mechanism may be a new direction to study refractory RA.
引用
收藏
页码:6993 / 7006
页数:14
相关论文
共 50 条
  • [21] Screening study for serum markers in rheumatoid arthritis patients with stagnant dampnessheat syndrome based on ITRAQ proteomic technology
    王新贤
    ChinaMedicalAbstracts(InternalMedicine), 2019, 36 (04) : 198 - 198
  • [22] iTRAQ-Based Quantitative Proteomic Analysis of Chemically Induced Aquilaria sinensis Provides Insights into Agarwood Formation Mechanism
    Ye, Wei
    Zhang, Weimin
    Liu, Taomei
    Zhu, Muzhi
    Li, Saini
    Li, Haohua
    Huang, Zilei
    Gao, Xiaoxia
    PROTEOMICS, 2018, 18 (20)
  • [23] iTRAQ-based Proteomic Analysis of APPSw,Ind Mice Provides Insights into the Early Changes in Alzheimer's Disease
    Li, Nan
    Hu, Pinghong
    Xu, Tiantian
    Chen, Huan
    Chen, Xiaoying
    Hu, Jianwen
    Yang, Xifei
    Shi, Lei
    Luo, Jian-hong
    Xu, Junyu
    CURRENT ALZHEIMER RESEARCH, 2017, 14 (10) : 1109 - 1122
  • [24] iTRAQ-based quantitative proteomic analysis provides insight into the drought-stress response in maize seedlings
    Wen Ren
    Zi Shi
    Miaoyi Zhou
    Bingbing Zhao
    Hanshuai Li
    Jiarong Wang
    Ya Liu
    Jiuran Zhao
    Scientific Reports, 12
  • [25] iTRAQ-based quantitative proteomic analysis provides insight into the drought-stress response in maize seedlings
    Ren, Wen
    Shi, Zi
    Zhou, Miaoyi
    Zhao, Bingbing
    Li, Hanshuai
    Wang, Jiarong
    Liu, Ya
    Zhao, Jiuran
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [26] iTRAQ-based quantitative proteomic analysis provides insights into strong broodiness in Muscovy duck (Cairina moschata) combined with metabolomics analysis
    Wu, Xu
    Pan, Xiaoli
    Cao, Sumei
    Xu, Faqiong
    Lan, Liming
    Zhang, Yingyan
    Lian, Senyang
    Yan, Meijiao
    Li, Ang
    JOURNAL OF PROTEOMICS, 2019, 204
  • [27] Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients
    Ling, Stephanie F.
    Nair, Nisha
    Verstappen, Suzanne M. M.
    Barton, Anne
    Zucht, Hans-Dieter
    Budde, Petra
    Schulz-Knappe, Peter
    Plant, Darren
    PHARMACOGENOMICS JOURNAL, 2020, 20 (03): : 516 - 523
  • [28] New insights into the mechanisms of acetic acid resistance in Acetobacter pasteurianus using iTRAQ-dependent quantitative proteomic analysis
    Xia, Kai
    Zang, Ning
    Zhang, Junmei
    Zhang, Hong
    Li, Yudong
    Liu, Ye
    Feng, Wei
    Liang, Xinle
    INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY, 2016, 238 : 241 - 251
  • [29] Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients
    Stephanie F. Ling
    Nisha Nair
    Suzanne M. M. Verstappen
    Anne Barton
    Hans-Dieter Zucht
    Petra Budde
    Peter Schulz-Knappe
    Darren Plant
    The Pharmacogenomics Journal, 2020, 20 : 516 - 523
  • [30] PROTEOMIC ANALYSIS OF OSTEOBLASTS SECRETOME PROVIDES NEW INSIGHTS IN MECHANISMS UNDERLYING OSTEOARTHRITIS SUBCHONDRAL BONE SCLEROSIS
    Sanchez, C.
    Mazzucchelli, G.
    Lambert, C.
    Comblain, F.
    DePauw, E.
    Henrotin, Y.
    OSTEOARTHRITIS AND CARTILAGE, 2018, 26 : S89 - S89