Literature DB >> 33915895

Proteomics Profiling of the Urine of Patients with Hyperthyroidism after Anti-Thyroid Treatment.

Hicham Benabdelkamel1, Afshan Masood1, Aishah A Ekhzaimy2, Assim A Alfadda1,2.   

Abstract

Hyperthyroidism, which is characterized by increased circulating thyroid hormone levels, alters the body's metabolic and systemic hemodynamic balance and directly influences renal function. In this study, the urinary proteome of patients with hyperthyroidism was characterized using an untargeted proteomic approach with network analysis. Urine samples were collected from nine age-matched patients before and after carbimazole treatment. Differences in the abundance of urinary proteins between hyperthyroid and euthyroid states were determined using a 2D-DIGE coupled to MALDI-TOF mass spectrometry. Alterations in the abundance of urinary proteins, analyzed via Progenesis software, revealed a statistically significant difference in abundance in a total of 40 spots corresponding to 32 proteins, 25 up and 7 down (≥1.5-fold change, ANOVA, p ≤ 0.05). The proteins identified in the study are known to regulate processes associated with cellular metabolism, transport, and acute phase response. The notable upregulated urinary proteins were serotransferrin, transthyretin, serum albumin, ceruloplasmin, alpha-1B-glycoprotein, syntenin-1, and glutaminyl peptide cyclotransferase, whereas the three notable downregulated proteins were plasma kallikrein, protein glutamine gamma-glutamyl transferase, and serpin B3 (SERPINB3). Bioinformatic analysis using ingenuity pathway analysis (IPA) identified the dysregulation of pathways associated with cellular compromise, inflammatory response, cellular assembly, and organization and identified the involvement of the APP and AKT signaling pathways via their interactions with interleukins as the central nodes.

Entities:  

Keywords:  acute phase proteins; apolipoproteins; carbimazole; hyperthyroidism; inflammation; ingenuity pathway analysis; urine proteomics

Mesh:

Substances:

Year:  2021        PMID: 33915895      PMCID: PMC8036843          DOI: 10.3390/molecules26071991

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  43 in total

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3.  Proteome Analysis of Urinary Biomarkers in a Bovine IRBP-Induced Uveitis Rat Model via Data-Independent Acquisition and Parallel Reaction Monitoring Proteomics.

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  3 in total

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