Evidence map›Paper›PMID 40214973›Full record

ArticleBiomolecules & biomedicine2025

Hormonal predictors of the insulin sensitive phenotype in humans.

Mohamed Badie Ahmed, Abdella M Habib, Saif Badran, Abeer Alsherawi, Sherouk Essam Elnefaily, Mansour Binfayed, Atalla Hammouda, Graeme E Glass, Ibrahem Abdalhakam, Humam Emad Rajha and 2 more

Abstract read
In one paragraph

Article in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

12 authors.

Mohamed Badie AhmedDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar; Plastic Surgery Department, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar.
Abdella M HabibDepartment of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Saif BadranDivision of Plastic & Reconstructive Surgery, Washington University School of Medicine, Saint Louis, MO, USA.
Abeer AlsherawiPlastic Surgery Department, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar; College of Medicine, QU Health, Qatar University, Doha, Qatar.
Sherouk Essam ElnefailyFaculty of Pharmacy, Cyprus International University, Nicosia, North Cyprus.
Mansour BinfayedPlastic Surgery Department, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar.
Atalla HammoudaPlastic Surgery Department, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar.
Graeme E GlassDivision of Craniofacial Surgery, Department of Plastic Surgery, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Ibrahem AbdalhakamQatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Humam Emad RajhaCollege of Medicine, QU Health, Qatar University, Doha, Qatar.
Abdul-Badi Abou-SamraQatar Metabolic Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Suhail A DoiDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical obesity, a chronic condition marked by excessive fat accumulation, often leads to insulin resistance and a heightened risk of comorbidities. This study aimed to identify hormonal predictors of an insulin-sensitive phenotype (ISP) in patients undergoing body contouring surgeries, focusing on the relationship between gut hormones, adipokines, and fat mass. ISP was defined as the highest tertile of HOMA insulin sensitivity. We prospectively followed patients undergoing abdominoplasty, lower body lift, or thigh lift at Hamad General Hospital from January 2021 to December 2023. Body composition, glycemic indices, and hormonal levels were assessed, with data analyzed using descriptive statistics and regression models. The study included 34, 22, and 27 subjects at visits 1, 2, and 3, respectively. Fat percentage decreased slightly at visits 2 and 3 compared to baseline, though not significantly. Median levels of glucagon-like peptide-1 (GLP-1), gastric inhibitory polypeptide (GIP), pancreatic polypeptide (PP), liver-expressed antimicrobial peptide 2 (LEAP2), and amylin varied significantly across visits, initially rising at visit 2 before declining at visit 3. Logistic regression revealed that ISP was negatively associated with serum GIP. LEAP2, and leptin levels while positively associated with PP. History of bariatric surgery was only weakly associated with the ISP after hormonal associations were accounted for. Notably, total body fat percentage did not predict ISP after accounting for hormonal factors. This study highlights GIP, PP, leptin, and LEAP2 as key predictors of ISP, with GIP being the primary negative regulator. These findings underscore the importance of hormonal interplay in insulin sensitivity, emphasizing the role of gut hormones and adipokines in predicting ISP in humans.

Indexed as

Insulin ResistanceObesityAdipokinesAdultBody CompositionFemaleGastric Inhibitory PolypeptideGastrointestinal HormonesHumansInsulinMaleMiddle AgedPhenotypeProspective StudiesAdipokinesGastric Inhibitory PolypeptideGastrointestinal HormonesInsulin

Identifiers

PMID40214973
PMCPMC12447751

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.