A common missense variant rs874881 of PADI4 gene and rheumatoid arthritis: Genetic association study and in-silico analysis.

The peptidylarginine-deiminase 4 (PADI4) is involved in the post-translational catalytic conversion of arginine into citrulline. The autoantibodies including anti-citrullinated protein antibodies (ACPAs) produced in response to hypercitrullinated proteins are a hallmark of rheumatoid arthritis (RA) autoimmunity. Therefore, the role of a missense variant rs874881 (Gly112Ala) of PADI4 in RA susceptibility was analyzed, along with in-silico analysis of structural and functional impacts of this substitution. We did a case-control association study and in-silico analysis. For the case-control study, confirmed RA cases and healthy controls were recruited. Genotyping for rs874881 (n = 750) was performed through polymerase chain reaction-restriction fragment length polymorphism. Multivariate logistic regression analysis was employed to determine association. The in-silico analysis was carried out through HOPE, VarMap, MutationAssessor, MutPred2, SIFT, PolyPhen, CADD, REVEL and MetaLR. In the case-control study, the rs874881 exhibited a strong association with increased RA susceptibility (G vs C odds ratio = 3.85, 95 % confidence interval = 2.81-5.27). Interaction analysis revealed significant interaction of genotype with smoking and gender (p < 0.05). Significant results (p < 0.05) were also obtained in stratified analysis by presence/absence of comorbidities and radiographic damage. According to in-silico pathogenicity prediction analysis, this Gly112Ala substitution does not exert a major effect on protein structure and function including its enzymatic activity. We report a significant association of PADI4 rs874881 with overall RA susceptibility. To our knowledge, this is the first study to do the interaction and stratified analyses on the PADI4 rs874881 in RA. Similar detailed studies should also be performed in other populations.

LC-MS/MS-Based Serum Protein Profiling for Identification of Candidate Biomarkers in Pakistani Rheumatoid Arthritis Patients.

Rheumatoid arthritis is an autoimmune disorder of complex disease etiology. Currently available serological diagnostic markers lack in terms of sensitivity and specificity and thus additional biomarkers are warranted for early disease diagnosis and management. We aimed to screen and compare serum proteome profiles of rheumatoid arthritis serotypes with healthy controls in the Pakistani population for identification of potential disease biomarkers. Serum samples from rheumatoid arthritis patients and healthy controls were enriched for low abundance proteins using ProteoMinerTM columns. Rheumatoid arthritis patients were assigned to one of the four serotypes based on anti-citrullinated peptide antibodies and rheumatoid factor. Serum protein profiles were analyzed via liquid chromatography-tandem mass spectrometry. The changes in the protein abundances were determined using label-free quantification software ProgenesisQITM followed by pathway analysis. Findings were validated in an independent cohort of patients and healthy controls using an enzyme-linked immunosorbent assay. A total of 213 proteins were identified. Comparative analysis of all groups (false discovery rate < 0.05, >2-fold change, and identified with ≥2 unique peptides) identified ten proteins that were differentially expressed between rheumatoid arthritis serotypes and healthy controls including pregnancy zone protein, selenoprotein P, C4b-binding protein beta chain, apolipoprotein M, N-acetylmuramoyl-L-alanine amidase, catalytic chain, oncoprotein-induced transcript 3 protein, Carboxypeptidase N subunit 2, Apolipoprotein C-I and Apolipoprotein C-III. Pathway analysis predicted inhibition of liver X receptor/retinoid X receptor activation pathway and production of nitric oxide and reactive oxygen species pathway in macrophages in all serotypes. A catalogue of potential serum biomarkers for rheumatoid arthritis were identified. These biomarkers can be further evaluated in larger cohorts from different populations for their diagnostic and prognostic potential.