Evidence map›Paper›PMID 42396362›Full record

ArticleInternational journal of applied & basic medical research

Association of Melanocortin-4 Receptor Single Nucleotide Polymorphisms rs2331841 and rs12970134 with Metabolically Unhealthy Obesity in a North Indian Cohort.

Isar Sharma, Kritika Bakshi, Ritu Mahajan, Nisha Kapoor

Abstract read
In one paragraph

Article in International journal of applied & basic medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Isar SharmaSchool of Biotechnology, University of Jammu, Jammu, Jammu and Kashmir, India.
Kritika BakshiSchool of Biotechnology, University of Jammu, Jammu, Jammu and Kashmir, India.
Ritu MahajanSchool of Biotechnology, University of Jammu, Jammu, Jammu and Kashmir, India.
Nisha KapoorSchool of Biotechnology, University of Jammu, Jammu, Jammu and Kashmir, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is a global epidemic with diverse metabolic outcomes, categorized as metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO). Genetic variations in the MC4R gene are known to be key to energy homeostasis, making it a critical candidate for explaining this metabolic heterogeneity. Aim: This study aimed to investigate the genetic basis of metabolically unhealthy obesity (MUHO) in a North Indian population from the Jammu region, specifically focusing on the association between polymorphisms (Single Nucleotide Polymorphisms [SNPs]) within the Melanocortin-4 Receptor (MC4R) gene and the predisposition to MUHO. Materials and Methods: We analyzed a cohort of 846 adult participants from the North Indian population of the Jammu region. The participants were divided into three groups: MUHO ( Results: Our findings revealed a statistically significant association between the "A" risk alleles of both MC4R SNPs and an increased predisposition to MUHO. The "A" allele of rs2331841 conferred a 1.75-fold increased risk for MUHO compared to MH-NW ( Conclusion: These results indicate that genetic variations in the MC4R gene contribute to the metabolic heterogeneity of obesity. Identifying these specific genetic markers is crucial for early risk stratification and developing personalized preventive strategies against obesity-related metabolic disorders.

Indexed as

Genetic markersIndian populationmelanocortin-4 receptor genemetabolically unhealthy obesityobesitysingle nucleotide polymorphisms

Identifiers

PMID42396362
PMCPMC13327374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.