Role of PPARG gene variants in inflammatory bowel disease

Transcriptome-Wide Analysis Reveals the Role of PPARγ Controlling the Lipid Metabolism in Goat Mammary Epithelial Cells

To explore the large-scale effect of peroxisome proliferator-activated receptor γ (PPARG) in goat mammary epithelial cells (GMEC), an oligonucleotide microarray platform was used for transcriptome profiling in cells overexpressing PPARG and incubated with or without rosiglitazone (ROSI, a PPARγ agonist). A total of 1143 differentially expressed genes (DEG) due to treatment were detected. The Dynamic Impact Approach (DIA) analysis uncovered the most impacted and induced pathways “fatty acid elongation in mitochondria,” “glycosaminoglycan biosynthesis-keratan sulfate,” and “pentose phosphate pathway.” The data highlights the central role of PPARG in milk fatty acid metabolism via controlling fatty acid elongation, biosynthesis of unsaturated fatty acid, lipid formation, and lipid secretion; furthermore, its role related to carbohydrate metabolism promotes the production of intermediates required for milk fat synthesis. Analysis of upstream regulators indicated that PPARG participates in multiple physiological processes via controlling or cross talking with other key transcription factors such as PPARD and NR1H3 (also known as liver-X-receptor-α). This transcriptome-wide analysis represents the first attempt to better understand the biological relevance of PPARG expression in ruminant mammary cells. Overall, the data underscored the importance of PPARG in mammary lipid metabolism and transcription factor control.

Immunogenetics of systemic sclerosis: Defining heritability, functional variants and shared-autoimmunity pathways

Systemic sclerosis (SSc) is a clinically heterogeneous connective tissue disorder of complex etiology. The development of large-scale genetic studies, such as genome-wide association studies (GWASs) or the Immunochip platform, has achieved remarkable progress in the knowledge of the genetic background of SSc. Herein, we provide an updated picture SSc genetic factors, offering an insight into their role in pathogenic mechanisms that characterize the disease. We review the most recent findings in the HLA region and the well-established non-HLA loci. Up to 18 non-HLA risk factors fulfilled the selected criteria and they were classified according to their role in the innate or adaptive immune response, in apoptosis, autophagy or fibrosis. Additionally, SSc heritability has remained as a controversial question since twin studies provided low SSc heritability estimates. However, we have recalculated the lower bond of narrow sense SSc heritability using GWAS data. Remarkably, our results suggest a greater influence of genetics on SSc than previously reported. Furthermore, we also offer a functional classification of SSc-associated SNPs and their proxies, based on annotated data, to provide clues for the identification of causal variants in these loci. Finally, we explore the genetic overlap between SSc and other autoimmune diseases (ADs). The vast majority of SSc risk loci are shared with at least one additional AD, being the overlap between SSc and systemic lupus erythematous the largest. Nevertheless, we found that an important portion of SSc risk factors are also common to rheumatoid arthritis or primary biliary cirrhosis. Considering all these evidences, we are confident that future research will be successful in understanding the relevant altered pathways in SSc and in identifying new biomarkers and therapeutic targets for the disease.

A genome-wide association study follow-up suggests a possible role for PPARG in systemic sclerosis susceptibility

Introduction

A recent genome-wide association study (GWAS) comprising a French cohort of systemic sclerosis (SSc) reported several non-HLA single-nucleotide polymorphisms (SNPs) showing a nominal association in the discovery phase. We aimed to identify previously overlooked susceptibility variants by using a follow-up strategy.

Methods

Sixty-six non-HLA SNPs showing a P value <10^-4 in the discovery phase of the French SSc GWAS were analyzed in the first step of this study, performing a meta-analysis that combined data from the two published SSc GWASs. A total of 2,921 SSc patients and 6,963 healthy controls were included in this first phase. Two SNPs, PPARG rs310746 and CHRNA9 rs6832151, were selected for genotyping in the replication cohort (1,068 SSc patients and 6,762 healthy controls) based on the results of the first step. Genotyping was performed by using TaqMan SNP genotyping assays.

Results

We observed nominal associations for both PPARG rs310746 (P_MH = 1.90 × 10^-6, OR, 1.28) and CHRNA9 rs6832151 (P_MH = 4.30 × 10^-6, OR, 1.17) genetic variants with SSc in the first step of our study. In the replication phase, we observed a trend of association for PPARG rs310746 (P value = 0.066; OR, 1.17). The combined overall Mantel-Haenszel meta-analysis of all the cohorts included in the present study revealed that PPARG rs310746 remained associated with SSc with a nominal non-genome-wide significant P value (P_MH = 5.00 × 10^-7; OR, 1.25). No evidence of association was observed for CHRNA9 rs6832151 either in the replication phase or in the overall pooled analysis.

Conclusion

Our results suggest a role of PPARG gene in the development of SSc.