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Comparative Study
. 2016 Apr;101(4):1455-68.
doi: 10.1210/jc.2015-3336. Epub 2016 Jan 20.

Tissue-Specific and Genetic Regulation of Insulin Sensitivity-Associated Transcripts in African Americans

Affiliations
Comparative Study

Tissue-Specific and Genetic Regulation of Insulin Sensitivity-Associated Transcripts in African Americans

Neeraj K Sharma et al. J Clin Endocrinol Metab. 2016 Apr.

Abstract

Integrative multiomics analyses of adipose and muscle tissue transcripts, S, and genotypes revealed novel genetic regulatory mechanisms of insulin resistance in African Americans.

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Figures

Figure 1.
Figure 1.
Common and tissue-specific characteristics of adipose and muscle tissue transcripts associated with SI in AAs. A stacked bar graph shows enrichment of adipose (A) and muscle (B) tissue transcripts associated with SI in IPA biological pathway analysis. A Venn diagram (C) shows overlap of adipose and muscle tissue transcripts positively or negatively associated with SI. Scatter plot (D) shows the concordance and discordance in direction of association (effect, β from regression analysis) of transcripts associated with SI in both adipose and muscle tissue. Visualization of running sum statistics from advanced gene set enrichment analysis (GSEA, GeneTrail) shows (E) common and tissue-specific modulation of transcripts with SI and enrichment in biological pathways.
Figure 2.
Figure 2.
Ninjurin1 (NINJ1) transcript is associated with SI and cis-eSNPs for this transcript also associate with SI in AAs. The scatter plot shows association of NINJ1 transcript expression (ILMN_1815086) in adipose tissue with SI and BMI (A, B). The box plot shows association of NINJ1 transcript expression (ILMN_1815086) in adipose with genotype of the cis-eSNP rs7033638 (C) and association of SI and with genotype of the SNP rs7033638 (D). LocusZoom plots show regional association of NINJ1 cis-eQTL region SNPs (genotyped and imputed) with transcript expression and SI (E, F). Significance level (-log10 P-values) indicated in LocusZoom plots are based on score test implemented in the program SNPTEST. LD plot shows LD relationship (r2) between genotyped SNPs in the marked region.
Figure 3.
Figure 3.
Knockdown of NINJ1 expression in vitro in THP1 cells modulated expression of target genes. A, Relative expression of NINJ1 in pooled RNA samples from stromal vascular fractions compared with the adipocyte fraction of sc adipose tissue in AAs. B, Phorbol ester exposed (TPA/PMA, 10 ng/mL for 48 h) differentiated THP1 macrophages showed strong induction of NINJ1 expression compared with undifferentiated (control) cells. C, Transduction of THP1 cells by NINJ1 specific lentiviral shRNA stably knocked down its expression at baseline and in the TPA-induced differentiated state compared with control-shRNA lentiviral particle–treated cells. Stable knockdown efficiency of NINJ1 expression determined by qRT-PCR from two independent experiments (each with 2–3 biological replicates for each condition are shown. Expression of two other macrophage genes (CD68 and LCP1) was unchanged. D–K, ShRNA-mediated abrogation of NINJ1 induction in PMA/TPA treated THP1 macrophages significantly abrogated induction of several genes, while enhancing the expression of other genes. Validation of selected RNA-seq identified genes by qRT-PCR are shown. #, P < .01 lv-shRNA-control vs lv-shRNA-NINJ1 in basal or undifferentiated condition; *, P < .01 lv-shRNA-control vs lv-shRNA-NINJ1 in TPA treated or differentiated THP1 cells.

References

    1. Sales V, Patti ME. The ups and downs of insulin resistance and type 2 diabetes: Lessons from genomic analyses in humans. Curr Cardiovasc Risk Rep. 2013;7(1):46–59. - PMC - PubMed
    1. Bergman RN, Stefanovski D, Kim SP. Systems analysis and the prediction and prevention of type 2 diabetes mellitus. Curr Opin Biotechnol. 2014;28:165–170. - PMC - PubMed
    1. Kahn SE, Cooper ME, Del Prato S. Pathophysiology and treatment of type 2 diabetes: Perspectives on the past, present, and future. Lancet. 2014;383(9922):1068–1083. - PMC - PubMed
    1. Johnson AM, Olefsky JM. The origins and drivers of insulin resistance. Cell. 2013;152(4):673–684. - PubMed
    1. Tabák AG, Jokela M, Akbaraly TN, Brunner EJ, Kivimaki M, Witte DR. Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: An analysis from the Whitehall II study. Lancet. 2009;373(9682):2215–2221. - PMC - PubMed

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