Complications of Diabetes: An Insight into Genetic Polymorphism and Role of Insulin

Aleem, Sobia; Iqbal, Riffat; Shar, Tanzila; Noreen, Sadia; Rafiq, Naila; Javed, Ijaz; Koşar, S N; Majeed, Humaira N; Sattar, Naila Abdul; Abid, Muhammad

doi:10.2174/1872213x12666180717165331

Cited by 5 publications

(6 citation statements)

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“…Comparing our findings with other studies reveals a substantial overlap of gene associations with MetS, emphasizing their relevance across populations and contexts [ 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ]. Notably, the genes LPL , CETP , APOA5 , BUD13 , ZPR1 and GCK have been shown to be consistently significantly associated with MetS across multiple studies [ 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ]. LPL plays a role in lipoprotein metabolism and fatty acid utilization.…”

Section: Discussionsupporting

confidence: 75%

“…Genetic variations in BUD13 , ZPR1 , and APOA5 have been implicated in MetS-related events, showing significant correlations with elevated serum triglyceride levels and reduced serum HDL cholesterol [ 41 , 42 ]. GCK plays a crucial role in glucose phosphorylation, and it has been linked with diabetes and metabolic disorders [ 43 , 44 , 45 ]. The similar associations between these genes and MetS in our study and others shed light on the key factors in MetS across various genetic and contextual backgrounds.…”

Section: Discussionmentioning

confidence: 99%

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A Genome-Wide Association Study of Metabolic Syndrome in the Taiwanese Population

Ho,

Lee,

Huang

et al. 2023

Nutrients

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The purpose of this study was to investigate genetic factors associated with metabolic syndrome (MetS) by conducting a large-scale genome-wide association study (GWAS) in Taiwan, addressing the limited data on Asian populations compared to Western populations. Using data from the Taiwan Biobank, comprehensive clinical and genetic information from 107,230 Taiwanese individuals was analyzed. Genotyping data from the TWB1.0 and TWB2.0 chips, including over 650,000 single nucleotide polymorphisms (SNPs), were utilized. Genotype imputation using the 1000 Genomes Project was performed, resulting in more than 9 million SNPs. MetS was defined based on a modified version of the Adult Treatment Panel III criteria. Among all participants (mean age: 50 years), 23% met the MetS definition. GWAS analysis identified 549 SNPs significantly associated with MetS, collectively mapping to 10 genomic risk loci. Notable risk loci included rs1004558, rs3812316, rs326, rs4486200, rs2954038, rs10830963, rs662799, rs62033400, rs183130, and rs34342646. Gene-set analysis revealed 22 associated genes: CETP, LPL, APOA5, SIK3, ZPR1, APOC1, BUD13, MLXIPL, TOMM40, GCK, YKT6, RPS6KB1, FTO, VMP1, TUBD1, BCL7B, C19orf80 (ANGPTL8), SIDT2, SENP7, PAFAH1B2, DOCK6, and FOXA2. This study identified genomic risk loci for MetS in a large Taiwanese population through a comprehensive GWAS approach. These associations provide novel insights into the genetic basis of MetS and hold promise for the potential discovery of clinical biomarkers.

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Section: Discussionsupporting

confidence: 75%

Section: Discussionmentioning

confidence: 99%

A Genome-Wide Association Study of Metabolic Syndrome in the Taiwanese Population

Ho,

Lee,

Huang

et al. 2023

Nutrients

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“…during glycolysis and the tricarboxylic acid (Tca) cycle (5,7). Glycolysis leads to the production of pyruvate, which enters the mitochondria to be oxidized (8). Pyruvate is metabolized by the pyruvate dehydrogenase (PdH) complex (PdHc), a controller of glucose oxidation, which is present in the mitochondrial matrix, and is further converted to acetyl-coenzyme a (coa) to obtain citrate that participates in the Tca cycle (12)(13)(14).…”

Section: Conditional Knockout Of Pyruvate Dehydrogenase In Mouse Pancmentioning

confidence: 99%

“…Mitochondrial regulation controls various aspects of cellular homeostasis in the organism (7)(8)(9). Furthermore, the regulation of mitochondria contributes to the pathogenesis of metabolic disorders, including obesity, metabolic syndrome, type 2 diabetes mellitus (T2dM) and cancer (10,11).…”

Section: Introductionmentioning

confidence: 99%

Conditional knockout of pyruvate dehydrogenase in mouse pancreatic β‑cells causes morphological and functional changes

Wang

Lai

et al. 2020

Mol Med Report

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diabetes mellitus is a metabolic disorder predominantly caused by the dysfunction of pancreatic β-cells. This dysfunction is partly caused by the dysregulation of pyruvate dehydrogenase (PdH), which acts as an important mediator of pyruvate oxidation after glycolysis and fuels the tricarboxylic acid cycle. Previous studies have reported decreased PdH expression in rodent models and humans with type 2 diabetes mellitus (T2dM), suggesting that PdH may play an important role in the development of T2dM. However, the mechanism by which PdH affects insulin secretion and β-cell development is poorly understood. Using immunofluorescence staining, the present study found that the expression of pyruvate dehydrogenase e1-α subunit (PdHa1; encoded by the PDHA1 gene) in the islets of type 2 diabetic mice (db/db mice) was lower than in wild-type mice, which indicated the possible association between PdHa1and diabetes. To further understand this mechanism, an inducible, islet-specific PdHa1 knockout mouse (βKo) model was established. The phenotype was authenticated, and the blood glucose levels and islet function between the βKo and control mice were compared. Though no changes were found in food intake, development status, fasting blood glucose or weight between the groups, the level of insulin secretion at 30 min after glucose injection in the βKO group was significantly lower compared with the control group. Furthermore, the performed of the βKo mice on the intraperitoneal glucose tolerance test was visibly impaired when compared with the control mice. Pancreatic tissues were collected for hematoxylin and eosin staining, immunohistochemical and confocal laser-scanning microscopy analysis. examination of the islets from the βKo mouse model indicated that abolishing the expression of PdH caused a compensatory islet enlargement and impaired insulin secretion.

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“…5 The classical symptoms of diabetes include excessive polydipsia (thirst), excessive urination, and considerable weight loss. 6,7 Glycated hemoglobin (hemoglobin A1C) reflects the estimated average blood glucose level within the past 2-3 months. 8,9 This factor is the gold standard for the diagnosis of diabetes, and measuring hemoglobin A1C is an approved method for diagnosing diabetes in most people.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Biofeedback on Diabetic Patients’ Glycemia

2018

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Background: Complementary medicine claims that biofeedback affects the reduction of blood glycemia. Objective: The current study aimed to determine the effects of biofeedback on decreasing blood glucose levels and tension and increasing the quality of life in diabetic patients. Methods: The current retrospective evidence-based study used pretest-posttest accidental sampling to select a group of 30 diabetic patients admitted to Glenview Clinic in the Aghdasiyeh region, Tehran, Iran, as the sample. Participants were divided into two 15-membered groups, the experiment and the control groups, matched by age and gender. Data gathering tools included the Quality of Life questionnaire in diabetic patients by Thomas et al, the Perceived Tension Index by Cohen et al, a glucometer, and the fasting blood glucose test. Data was analyzed using analysis of covariance (ANCOVA). Results: The results showed that biofeedback training was effective in decreasing blood glucose levels in diabetic patients. Conclusion: Biofeedback can reduce tension and improve the quality of life of diabetic patients; thus, it could be used as a complementary service in healthcare centers.

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Complications of Diabetes: An Insight into Genetic Polymorphism and Role of Insulin

Cited by 5 publications

References 0 publications

A Genome-Wide Association Study of Metabolic Syndrome in the Taiwanese Population

A Genome-Wide Association Study of Metabolic Syndrome in the Taiwanese Population

Conditional knockout of pyruvate dehydrogenase in mouse pancreatic β‑cells causes morphological and functional changes

The Impact of Biofeedback on Diabetic Patients’ Glycemia

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