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Record W4390693051 · doi:10.1080/07853890.2024.2302520

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

2023· article· en· W4390693051 on OpenAlexaboutno aff
Ramakrishnan Veerabathiran, P. Aswathi, Iyshwarya BK, D Rajasekaran, Akram Hussain RS

Bibliographic record

VenueAnnals of Medicine · 2023
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsnot available
FundersChettinad Academy of Research and Education
KeywordsMeta-analysisOdds ratioAlleleGenotypeType 2 diabetesType 2 Diabetes MellitusMedicineObesityInternal medicineGenetic modelCase-control studyPopulationDiabetes mellitusPolymorphism (computer science)GeneticsDemographyBiologyGeneEndocrinologyEnvironmental health

Abstract

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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. KEY MESSAGES t2DM is the prevailing diabetes type globally, impacting approximately 90% of people living with diabetes.t2DM has become more commonplace, irrespective of socioeconomic status or demographic background. t2DM is characterized by hyperglycemia caused by increased blood glucose levels.Recent research indicates a substantial global rise in t2DM cases, suggesting a growing public health concern. the development of type 2 diabetes is influenced by both environmental and genetic factors.among the genetic factors, the LEPR gene (leptin receptor gene) has been extensively studied and is associated with insulin sensitivity, hunger regulation, and energy consumption.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.341
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations14
Published2023
Admission routes1
Has abstractyes

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