Cargando…
Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population †
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. O...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460550/ https://www.ncbi.nlm.nih.gov/pubmed/32823525 http://dx.doi.org/10.3390/ijerph17165866 |
_version_ | 1783576628007272448 |
---|---|
author | Noreen, Zarish Loffredo, Christopher A. Bhatti, Attya Simhadri, Jyothirmai J. Nunlee-Bland, Gail Nnanabu, Thomas John, Peter Khan, Jahangir S. Ghosh, Somiranjan |
author_facet | Noreen, Zarish Loffredo, Christopher A. Bhatti, Attya Simhadri, Jyothirmai J. Nunlee-Bland, Gail Nnanabu, Thomas John, Peter Khan, Jahangir S. Ghosh, Somiranjan |
author_sort | Noreen, Zarish |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7460550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74605502020-09-03 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 Int J Environ Res Public Health Article 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. MDPI 2020-08-13 2020-08 /pmc/articles/PMC7460550/ /pubmed/32823525 http://dx.doi.org/10.3390/ijerph17165866 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Noreen, Zarish Loffredo, Christopher A. Bhatti, Attya Simhadri, Jyothirmai J. Nunlee-Bland, Gail Nnanabu, Thomas John, Peter Khan, Jahangir S. Ghosh, Somiranjan Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population † |
title | Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population † |
title_full | Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population † |
title_fullStr | Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population † |
title_full_unstemmed | Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population † |
title_short | Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population † |
title_sort | transcriptional profiling and biological pathway(s) analysis of type 2 diabetes mellitus in a pakistani population † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460550/ https://www.ncbi.nlm.nih.gov/pubmed/32823525 http://dx.doi.org/10.3390/ijerph17165866 |
work_keys_str_mv | AT noreenzarish transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation AT loffredochristophera transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation AT bhattiattya transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation AT simhadrijyothirmaij transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation AT nunleeblandgail transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation AT nnanabuthomas transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation AT johnpeter transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation AT khanjahangirs transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation AT ghoshsomiranjan transcriptionalprofilingandbiologicalpathwaysanalysisoftype2diabetesmellitusinapakistanipopulation |