Proteomics

Dataset Information

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Investigating HMGB1 as a Potential Serum Biomarker for Early Diabetic Nephropathy Monitoring by Quantitative Proteomics


ABSTRACT: Current diagnostic methods for diabetic nephropathy (DN) lack precision, especially in early stages and monitoring progression. This study aims to find potential biomarkers for DN progression and evaluate their accuracy. Using serum samples from healthy controls (NC), diabetic patients (DM), early-medium stage DN (DN-EM), and late-stage DN (DN-L), researchers employed quantitative proteomics and Mfuzz clustering analysis revealed 15 proteins showing increased expression during DN progression, hinting at their biomarker potential. Combining Mfuzz clustering with weighted gene co-expression network analysis (WGCNA) highlighted five candidates (HMGB1, CD44, FBLN1, PTPRG, and ADAMTSL4). HMGB1 emerged as a promising biomarker, closely correlated with renal function changes. Experimental validation supported HMGB1’s upregulation under high glucose conditions, reinforcing its potential as an early detection biomarker for DN. This research advances DN understanding and identifies five potential biomarkers, notably HMGB1, as a promising early monitoring target. These findings set the stage for future clinical diagnostic applications in DN.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Serum

SUBMITTER: Lirong Liu  

LAB HEAD: Lirong Liu

PROVIDER: PXD047872 | Pride | 2023-12-28

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
RD235ELQ_DM_1.raw Raw
RD235ELQ_DM_2.raw Raw
RD235ELQ_DM_3.raw Raw
RD235ELQ_DM_4.raw Raw
RD235ELQ_DM_5.raw Raw
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