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Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population.
Noreen, Zarish; Loffredo, Christopher A; Bhatti, Attya; Simhadri, Jyothirmai J; Nunlee-Bland, Gail; Nnanabu, Thomas; John, Peter; Khan, Jahangir S; Ghosh, Somiranjan.
Afiliação
  • Noreen Z; HealthCare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
  • Loffredo CA; Departments of Oncology and of Biostatistics, Georgetown University, Washington, DC 20057, USA.
  • Bhatti A; HealthCare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
  • Simhadri JJ; Department of Pediatrics and Child Health, College of Medicine, Howard University, Washington, DC 20059, USA.
  • Nunlee-Bland G; Department of Pediatrics and Child Health, College of Medicine, Howard University, Washington, DC 20059, USA.
  • Nnanabu T; Department of Biology, Howard University, Washington, DC 20059, USA.
  • John P; HealthCare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
  • Khan JS; Department of Surgery, Rawalpindi Medical College, Rawalpindi, Punjab 46000, Pakistan.
  • Ghosh S; Department of Pediatrics and Child Health, College of Medicine, Howard University, Washington, DC 20059, USA.
Article em En | MEDLINE | ID: mdl-32823525
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, and SLC33A1 using 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, and Cell Cycle G1/S Checkpoint Regulation, GABA Receptor Signaling, Neuroinflammation Signaling Pathway, Dopamine Receptor Signaling, Sirtuin Signaling Pathway, Oxidative Phosphorylation, LXR/RXR Activation, and Mitochondrial 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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Diabetes Mellitus Tipo 2 Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Diabetes Mellitus Tipo 2 Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article