Association of TATA box-binding protein-associated factor RNA polymerase I subunit C (TAF1C) with T2DM.

Proteins differential expression in type 2 diabetes mellitus (T2DM) can be due to etiological factors or pathological changes, such proteins can be utilized as biomarkers. Identification of a marker protein out of thousands became a feasible task during the proteomics era by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). In this study, blood samples were obtained from 80 Bahraini subjects with and without T2DM, a subset was used for proteomic analysis by LC-MS/MS, while all samples were used for ELISA analysis of 3 proteins, TATA-box binding protein-associated factor RNA polymerase-1-C (TAF1C), ceruloplasmin (CERP) and fibronectin (FN). The former 2 proteins were selected from the T2DM-protein-panel identified by LC-MS/MS, and the latter was analyzed for validation of the setting. The main findings of the proteomic analysis are i. Identifications of 62 differentially expressed proteins in T2DM, ii. Upregulation of 71% of the identified proteins. While the ELISA analysis showed that; both TAF1C and FN were significantly increased in T2DM (P0.015 and P0.001, respectively), while CERP was not (P0.088). Logistic regression analysis: i. confirmed the above associations after correction for covariates, ii. Revealed an interaction between age and gender that affect the association of the proteins with T2DM. In conclusion, knowing that TAF1C is a prerequisite in ribosomal biogenesis, our ELISA results are suggestive of increased protein synthesis in T2DM, explaining the observed upregulation of the proteins identified by LC-MSMS. The association between T2DM and TAF1C is a novel finding that might open a new avenue in DM research.

LC­MS/MS proteomic analysis revealed novel associations of 37 proteins with T2DM and notable upregulation of immunoglobulins.

Type 2 diabetes mellitus (T2DM) is a disease associated with a number of metabolic disturbances, including protein metabolism. In the present study, blood samples were obtained from Bahraini subjects, including 6 patients with T2DM and 6 age­ and sex­matched, non­diabetic, healthy controls. Depleted and non­depleted sera were prepared from the collected blood, and the global protein expression changes were evaluated by liquid chromatography tandem mass spectrometry. Only significantly and markedly differentially­expressed proteins (P<0.05, analysis of variance; maximum fold change ≥1.5) were considered as candidate proteins for informatics analysis. Accordingly, a total of 62 proteins were identified to be differentially expressed in T2DM, compared with control subjects, and they were grouped functionally into 16 classes of proteins. The largest class was that of the immune­associated proteins. Additionally, ~25 of these proteins (40%) had previously been associated with DM; however, the association of the other 37 proteins with T2DM was a novel observation. The majority of the identified proteins were upregulated in T2DM. The identified proteins could be involved in the pathogenesis of the disease or serve as disease biomarkers. Further validation of the identified proteins in a large study cohort is required, in order to fully access their potential clinical usefulness.