Evidence map›Paper›PMID 41636917›Full record

ReviewMolecular biology reports2026

Insulin resistance induced by obesity: Mechanisms, metabolic implications and therapeutic approaches.

Yi Ning Choo, Ram Narayanan Ravi, Vetriselvan Subramaniyan

Abstract readReview
In one paragraph

Review in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Integrative Clinical and Functional Characterization of theDiagnostics (Basel, Switzerland) · 2026
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  16. Analysis ofInternational journal of molecular sciences · 2026
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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

3 authors.

Yi Ning ChooSir Jeffrey Cheah Sunway Medical School, Faculty of Medical and Life Sciences, Sunway University, Bandar, Malaysia.
Ram Narayanan RaviJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway Selangor Darul Ehsan, Bandar, Malaysia. ram.ravi@monash.edu.
Vetriselvan SubramaniyanSir Jeffrey Cheah Sunway Medical School, Faculty of Medical and Life Sciences, Sunway University, Bandar, Malaysia. vetris@sunway.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity-induced insulin resistance is an escalating global health challenge that substantially contributes to the development of metabolic disorders, including type 2 diabetes mellitus and cardiovascular disease. This narrative review critically examines the molecular and cellular mechanisms linking excess adiposity to impaired insulin action, with a particular focus on adipose tissue dysfunction, chronic low-grade inflammation, and oxidative stress. A comprehensive literature search was conducted using PubMed, ScienceDirect, and Google Scholar, covering preclinical and clinical studies published primarily over the past two decades. Evidence indicates that adipocyte hypertrophy and hypoxia promote excessive free fatty acid release, ectopic lipid accumulation, and lipotoxicity, thereby disrupting insulin signalling pathways. Numerous clinical studies report that obesity triggers chronic, low-grade inflammation in the liver and pancreas, activating pathways such as NF-κB and SOCS proteins, thereby disrupting insulin signalling. Concurrently, obesity-associated inflammation drives immune cell infiltration and macrophage polarization toward a pro-inflammatory phenotype, further exacerbating insulin resistance and metabolic dysregulation. This review also synthesizes current therapeutic strategies targeting these mechanisms, including insulin-sensitizing agents, anti-inflammatory therapies, glucagon-like peptide-1 receptor agonists, and sodium-glucose cotransporter 2 inhibitors, as well as emerging approaches. Future perspectives highlight the growing relevance of personalized medicine, pharmacogenomics, digital health tools, and gene-based interventions in improving therapeutic precision. A deeper understanding of these interconnected pathways is essential for developing effective strategies to mitigate obesity-related insulin resistance and its global metabolic consequences.

Indexed as

Insulin ResistanceObesityAdipose TissueAnimalsDiabetes Mellitus, Type 2HumansInflammationInsulinOxidative StressSignal TransductionInsulinInflammationInsulin resistanceOxidative stressPersonalized medicine

Identifiers

PMID41636917
PMCPMC12872655

What OpenQuestion holds

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LicenceCC BY
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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.