4.3 Article

Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population

Publisher

MDPI
DOI: 10.3390/ijerph17165866

Keywords

type 2 diabetes; Pakistan; gene expression; disease pathways; gene validation; biomarkers

Funding

  1. National Institute of Minority Health and Disparity (NIMHD/NIH) [2-U54 MD00759731, 1-P20 CA262617-01]
  2. Higher Education Commission (HEC), Pakistan [1-8/HEC/HRD/2017/6867]
  3. ASAB (NUST) [20-2321/RD/HEC/14, 5965/Federal/NRPU/RD/2016]

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The epidemic of type 2 diabetes mellitus (T2DM) is an important global health concern. Our earlier epidemiological investigation in Pakistan prompted us to conduct a molecular investigation to decipher the differential genetic pathways of this health condition in relation to non-diabetic controls. Our microarray studies of global gene expression were conducted on the Affymetrix platform using Human Genome U133 Plus 2.0 Array along with Ingenuity Pathway Analysis (IPA) to associate the affected genes with their canonical pathways. High-throughput qRT-PCR TaqMan Low Density Array (TLDA) was performed to validate the selected differentially expressed genes of our interest, viz.,ARNT, LEPR, MYC, RRAD, CYP2D6, TP53,APOC1, APOC2, CYP1B1, SLC2A13,andSLC33A1using a small population validation sample (n = 15 cases and their corresponding matched controls). Overall, our small pilot study revealed a discrete gene expression profile in cases compared to controls. The disease pathways included:Insulin Receptor Signaling,Type II Diabetes Mellitus Signaling, Apoptosis Signaling,Aryl Hydrocarbon Receptor Signaling,p53 Signaling,Mitochondrial Dysfunction, Chronic Myeloid Leukemia Signaling,Parkinson's Signaling, Molecular Mechanism of Cancer,andCell Cycle G1/S Checkpoint Regulation, GABA Receptor Signaling, Neuroinflammation Signaling Pathway, Dopamine Receptor Signaling, Sirtuin Signaling Pathway,Oxidative Phosphorylation,LXR/RXR Activation, andMitochondrial Dysfunction,strongly consistent with the evidence from epidemiological studies. These gene fingerprints could lead to the development of biomarkers for the identification of subgroups at high risk for future disease well ahead of time, before the actual disease becomes visible.

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