Implication of Leptin and Leptin Receptor Gene Variations in Type 2 Diabetes Mellitus: A Case-Control Study

Ashraf, Roohi; Khan, Mosin Saleem; Lone, Suhail Shafi; Bhat, Mohd Shafi; Rashid, Sabrina Mohd; Majid, Sabhiya; Bashir, Haamid

doi:10.14740/jem785

Cited by 6 publications

(5 citation statements)

References 27 publications

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“…The A allele of rs2167270 significantly correlates with an elevated risk of prediabetes in Jordan and in the population of South India [ 137 , 138 , 139 ]. Rs6966536 (allele G) of the LEP gene has been implicated in the development of obesity in a South African population [ 140 ].…”

Section: Resultsmentioning

confidence: 99%

Functionally Significant Variants in Genes Associated with Abdominal Obesity: A Review

Bairqdar

Ivanoshchuk

Shakhtshneider

2023

JPM

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The high prevalence of obesity and of its associated diseases is a major problem worldwide. Genetic predisposition and the influence of environmental factors contribute to the development of obesity. Changes in the structure and functional activity of genes encoding adipocytokines are involved in the predisposition to weight gain and obesity. In this review, variants in genes associated with adipocyte function are examined, as are variants in genes associated with metabolic aberrations and the accompanying disorders in visceral obesity.

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Section: Resultsmentioning

confidence: 99%

Functionally Significant Variants in Genes Associated with Abdominal Obesity: A Review

Bairqdar

Ivanoshchuk

Shakhtshneider

2023

JPM

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“…Novel and more potent approaches to the prevention and treatment of T2DM may result from a better understanding of the molecular and cellular mechanisms that modify leptin signalling. [ 51 ].…”

Section: Discussionmentioning

confidence: 99%

Genetic predisposition of LEPR (rs1137101) gene polymorphism related to type 2 diabetes mellitus – a meta-analysis

Veerabathiran,

et al. 2023

Annals of Medicine

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Background: Type 2 diabetes mellitus (T2DM) is a multifaceted disease appropriate to elevated blood glucose levels resulting from decreased insulin and beta-cell activity. Using a case–control methodology, researchers have examined the relationship between polymorphisms in LEPR and T2DM in a population from south India. Materials and Methods: We conducted a genetic analysis of 311 participants, and results were accomplished using a case-control study, a meta-analysis of previous studies on LEPR was conducted, and type 2 diabetes genotype distribution across various geographical regions Malaysians, Chinese Han, Kuwait, Iran, Mongolia, and Han Chinese, Greece, Saudi, India (North India, Punjabi), (South India, Tamilnadu). The study involved 254 prospective investigations, and nine association studies were preferred according to preset criteria. Studies were assessed for quality using the Hardy-Weinberg equilibrium (HWE) and the Newcastle–Ottawa Scale (NOS). An analysis of the genetic models was conducted to determine their relationship, statistical analysis was utilized to calculate odds ratios (ORs) and matching 95% confidence intervals (CIs). Results: The LEPR -rs1137101 polymorphism in the case-control study was associated with a significant increase in the risk of type 2 diabetes. A meta-analysis revealed a connection between LEPR gene polymorphism (rs1137101) and type 2 diabetes risk. Investigators might gain a more profound thought on the significance of the identified genetic variation and its impact on the chance of developing type 2 diabetes by verifying and strengthening previously reported findings. The model of fixed effects was chosen due to the low heterogeneity, and significant associations were observed in the allelic (OR = 0.79, 95% CI [0.70–0.87]), homozygote (OR = 0.58, 95% CI [0.46–0.72]), dominant (OR = 0.66, 95% CI [0.56–0.79]), and recessive (OR = 0.83, 95% CI [0.71–0.96]) genetic models. A Begg’s funnel plot and Egger’s test indicated no publication bias. These findings suggest that the rs1137101 variant in the LEPR gene has been linked to a higher risk of T2DM. Conclusions: A larger sample size, however, is required for further research, and consideration of potential confounding factors is needed to validate these associations. Understanding the implications of LEPR gene polymorphisms in T2DM susceptibility may contribute to personalized treatment strategies for patients with T2DM.

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“…Report of a WHO consultation,” WHO, 2000). Normal BMI was defined as 18.5–24.99 kg/m 2 , preobese BMI as 25–29.99 kg/m 2 , obesity class I at 30–34.99 kg/m 2 , and obesity class II at 35–39.99 kg/m 2 (Ashraf et al, 2022; Grundy et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Exploring the burden of mixed dyslipidemia in patients with type 2 diabetes mellitus: A cross‐sectional study in Kashmir, India

Lone,

Majid,

Bhat

et al. 2023

American J Hum Biol

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BackgroundDiabetes‐related dyslipidemia is a multifaceted, complicated disorder characterized by an abnormal lipid profile in individuals with diabetes. The incidence of different types of dyslipidemia, however, was not a focus of prior investigations. The patients were characterized into three categories of dyslipidemia. Different patterns of dyslipidemia were combined into single dyslipidemia (7 patterns), mixed dyslipidemia (16 patterns), and triple dyslipidemia (4 patterns).MethodsIn this cross‐sectional study, 586 people suffering from type 2 diabetes mellitus (T2DM) were included. We assessed the serum lipid profile and used log (TG/HDL‐C) to determine the atherogenic index of plasma (AIP). Dyslipidemia was examined as a categorical variable, and the findings were presented as percentages and numbers. To compare categorical variables, we either utilized Fisher exact tests or Chi square tests.ResultsThe study comprised of 586 T2DM patients, with 310 (52.9%) women and 276 (47.1%) men. Women have significantly higher hypertension (33.6%) as compared to men (23.2%). 18.94% (111) of patients were having coronary artery disease (CAD) history consisting of 12.28% (72) females and 6.66% (39) males, a difference which is statistically significant. 98.12% of total individuals had as a minimum of one lipid abnormality. 4.61% (27) of study subjects were having isolated dyslipidemia and 93.51% (548) had dual or triple pattern of dyslipidemia (mixed dyslipidemia). High AIP >0.24 (94.8%) was the most predominant trend of dyslipidemia. The dual combination of AIP (>0.24) and HDL (<50 mg/dL in Females and <40 mg/dL in Males) was found to be the most common pattern of mixed dyslipidemia (68.08%). The most prevalent trend of isolated dyslipidemia was found to be high AIP (>0.24), In patients with CAD history. Among the mixed dyslipidemia, the common pattern of dyslipidemia (71.17%) was the dual combination of high AIP (>0.24) and low HDL (<50 mg/dL women and <40 mg/dL males). The triple combination of TG (≥200 mg/dL) and HDL (<40 and <50 mg/dL) and LDL (≥100 mg/dL) was only found in females.ConclusionIn conclusion, dyslipidemia is highly prevalent in T2DM patients, with mixed dyslipidemia being the most common type observed in the community of Kashmir valley, India. High AIP was the most prevalent pattern in the current investigation.

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Implication of Leptin and Leptin Receptor Gene Variations in Type 2 Diabetes Mellitus: A Case-Control Study

Cited by 6 publications

References 27 publications

Functionally Significant Variants in Genes Associated with Abdominal Obesity: A Review

Functionally Significant Variants in Genes Associated with Abdominal Obesity: A Review

Genetic predisposition of LEPR (rs1137101) gene polymorphism related to type 2 diabetes mellitus – a meta-analysis

Exploring the burden of mixed dyslipidemia in patients with type 2 diabetes mellitus: A cross‐sectional study in Kashmir, India

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