Label-free quantitative proteomics analysis for type 2 diabetes mellitus early diagnostic marker discovery using data-independent acquisition mass spectrometry (DIA-MS)

被引:5
作者
Nimer, Refat M. [1 ]
Alfaqih, Mahmoud A. [2 ,3 ]
Shehabat, Eman R. [1 ]
Mujammami, Muhammad [4 ,5 ]
Rahman, Anas M. Abdel [6 ]
机构
[1] Jordan Univ Sci & Technol, Dept Med Lab Sci, Irbid 22110, Jordan
[2] Jordan Univ Sci & Technol, Dept Physiol & Biochem, Fac Med, Irbid 22110, Jordan
[3] Arabian Gulf Univ, Dept Biochem, Coll Med & Med Sci, Manama 15503, Bahrain
[4] King Saud Univ, Dept Med, Coll Med, Riyadh 12372, Saudi Arabia
[5] King Saud Univ, Univ Diabet Ctr, King Saud Univ Med City, Riyadh 12372, Saudi Arabia
[6] Mem Univ Newfoundland, Dept Chem, St John, NF A1B 3X7, Canada
关键词
MIGRATION INHIBITORY FACTOR; BIOMARKERS; RISK; IDENTIFICATION;
D O I
10.1038/s41598-023-48185-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Type-2 diabetes mellitus (T2DM) therapy requires early diagnosis and complication avoidance. Unfortunately, current diagnostic markers do not meet these needs. Data-independent acquisition mass spectrometry (DIA-MS) offers a solution for clinical diagnosis, providing reliable and precise sample quantification. This study utilized DIA-MS to investigate proteomic differential expression in the serum of recently diagnosed T2DM patients. The study conducted a comparative protein expression analysis between healthy and recently diagnosed T2DM groups (discovery cohort). A candidate protein was then validated using enzyme-linked immune assay (ELISA) on serum samples collected from T2DM patients (n=87) and healthy control (n=60) (validation cohort). A total of 1074 proteins were identified, and 90 were significantly dysregulated between the two groups, including 32 newly associated with T2DM. Among these proteins, the expression of S100 calcium-binding protein A6 (S100A6) was validated by ELISA. It showed a significant increase in T2DM samples compared to the control group. It was evaluated as a biomarker using the receiver operating characteristic (ROC) curve, consistent with the DIA-MS results. Novel proteins are reported to be involved in the development and progression of T2DM. Further studies are required to investigate the differential expression of candidate marker proteins in a larger population of T2DM patients.
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页数:14
相关论文
共 43 条
  • [1] Association of TATA box-binding protein-associated factor RNA polymerase I subunit C (TAF1C) with T2DM
    Abdulwahab, Rabab Asghar
    Allaith, Abdul Ameer A.
    Shinwari, Zakia
    Alaiya, Ayodele
    Giha, Hayder A.
    [J]. GENE, 2019, 706 : 43 - 51
  • [2] LC-MS/MS proteomic analysis revealed novel associations of 37 proteins with T2DM and notable upregulation of immunoglobulins
    Abdulwahab, Rabab Asghar
    Alaiya, Ayodele
    Shinwari, Zakia
    Allaith, Abdul Ameer A.
    Giha, Hayder A.
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2019, 43 (05) : 2118 - 2132
  • [3] The S100A6 calcium-binding protein regulates endothelial cell-cycle progression and senescence
    Bao, Leyuan
    Odell, Adam F.
    Stephen, Sam L.
    Wheatcroft, Stephen B.
    Walker, John H.
    Ponnambalam, Sreenivasan
    [J]. FEBS JOURNAL, 2012, 279 (24) : 4576 - 4588
  • [4] Increased Extracellular Matrix Protein Production in Chronic Diabetic Complications: Implications of Non-Coding RNAs
    Biswas, Saumik
    Chakrabarti, Subrata
    [J]. NON-CODING RNA, 2019, 5 (01)
  • [5] BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
  • [6] Immunology in the Clinic Review Series; focus on metabolic diseases: development of islet autoimmune disease in type 2 diabetes patients: potential sequelae of chronic inflammation
    Brooks-Worrell, B.
    Palmer, J. P.
    [J]. CLINICAL AND EXPERIMENTAL IMMUNOLOGY, 2012, 167 (01) : 40 - 46
  • [7] MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments
    Choi, Meena
    Chang, Ching-Yun
    Clough, Timothy
    Broudy, Daniel
    Killeen, Trevor
    MacLean, Brendan
    Vitek, Olga
    [J]. BIOINFORMATICS, 2014, 30 (17) : 2524 - 2526
  • [8] MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification
    Cox, Juergen
    Mann, Matthias
    [J]. NATURE BIOTECHNOLOGY, 2008, 26 (12) : 1367 - 1372
  • [9] Liver-Derived S100A6 Propels β-Cell Dysfunction in NAFLD
    Dogra, Surbhi
    Das, Debajyoti
    Maity, Sujay K.
    Paul, Avishek
    Rawat, Priya
    Daniel, P. Vineeth
    Das, Kausik
    Mitra, Souveek
    Chakrabarti, Partha
    Mondal, Prosenjit
    [J]. DIABETES, 2022, 71 (11) : 2284 - 2296
  • [10] S100: a multigenic family of calcium-modulated proteins of the EF-hand type with intracellular and extracellular functional roles
    Donato, R
    [J]. INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY, 2001, 33 (07) : 637 - 668