Evidence map›Paper›PMID 40605015›Full record

ArticleDiabetology & metabolic syndrome2025

Exploring inflammation and adipose tissue dysfunction in metabolically healthy versus unhealthy obesity among Arab adults.

Kaiser Wani, Osama Emam, Balvir Kumar, Nasser M Al-Daghri, Shaun Sabico

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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  3. Observational
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kaiser WaniChair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Osama EmamChair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Balvir KumarDepartment of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, India.
Nasser M Al-DaghriChair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Shaun SabicoChair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia. ssabico@ksu.edu.sa.

Funding

Ongoing Research Funding Program, King Saud University, Riyadh, Saudi Arabia ORF-2025-21
6 · The paper itself

Abstract

backgroundObesity is a heterogeneous condition. While Metabolically Healthy Obesity (MHO) is often considered to carry a lower risk of metabolic complications than Metabolically Unhealthy Obesity (MUO), findings on their differences remain inconsistent. This study examines for the first time the metabolic differences across obesity phenotypes in Saudi adults, addressing a literature gap in understudied populations with high obesity prevalence. MATERIALS AND

methodsThis cross-sectional study included 450 Saudi adults classified as MHO, MUO, or metabolically healthy normal weight (MHNW) based on BMI (≥ 30 kg/m²) and the presence of ≥ 3 metabolic abnormalities per National Cholesterol Education Program (NCEP) criteria. Anthropometric, metabolic, and inflammatory parameters were assessed. Age- and sex-adjusted logistic regression analyses were used to compare phenotypes.

resultsMUO individuals showed significantly higher adiposity indices, insulin resistance (HOMA-IR), and inflammatory markers compared to MHO individuals (p-values < 0.001). MHO individuals also differed significantly from MHNW individuals. Adiponectin levels were comparable across groups; however, the Adiponectin/Leptin ratio (adpn/lep) was lowest in the MUO group, indicating adipose tissue dysfunction. MUO individuals had increased odds of elevated HOMA-IR (OR = 5.76, p < 0.001) and CRP (OR = 2.64, p = 0.005) compared to MHO. While insulin resistance did not differ significantly between MHO and MHNW, MHO participants had higher odds of a low adpn/lep ratio (OR = 2.87, p < 0.005).

conclusionMUO individuals exhibited greater metabolic risk than MHO, with marked insulin resistance and inflammation. However, the presence of adipokine imbalance and elevated inflammatory markers in MHO suggests that ‘metabolic health’ in obesity may be relative rather than absolute.

Indexed as

AdipocytokinesAdipose tissue dysfunctionInflammationInsulin resistanceMetabolic healthObesity phenotypes

Identifiers

PMID40605015
PMCPMC12220051

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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.