Evidence map›Paper›PMID 40192745›Full record

ArticleBiomolecules & biomedicine2025

Hormonal predictors of the lean phenotype in humans.

Mohamed Badie Ahmed, Abdella M Habib, Saif Badran, Abeer Alsherawi, Fatima Al-Mohannadi, Sherouk Essam Elnefaily, Atalla Hammouda, Graeme E Glass, Ibrahem Abdalhakam, Abdul-Badi Abou-Samra and 1 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 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 and 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.
Fatima Al-MohannadiPlastic Surgery Department, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar.
Sherouk Essam ElnefailyFaculty of Pharmacy, Cyprus International University, Nicosia, North Cyprus.
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.
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 is characterized by excessive fat accumulation and an increased risk of numerous associated comorbidities. Adipose tissue secretes leptin and other adipokines, which play key roles in regulating energy balance, glucose homeostasis, and body fat mass. Recently, incretin and pancreatic hormones have also been shown to influence these processes. However, the regulatory mechanisms and interactions among these hormones are not yet fully understood. This study investigates hormonal predictors of the lean phenotype (in terms of total body fat) in patients undergoing body contouring surgery, with or without prior bariatric surgery. This prospective quasi-experimental study included patients who underwent body contouring procedures at Hamad General Hospital between January 2021 and December 2023. Patients were assessed at three time points: before surgery, 2-3 weeks post-surgery, and 6-10 weeks post-surgery. Body composition and hormone levels were measured, and statistical analyses-including descriptive statistics and logistic regression models-were used to examine trends and predict the lean phenotype. Among the hormones analyzed, amylin showed a significant association with the lean phenotype while increasing leptin, GIP and spexin levels negatively modulated the amylin effect. History of bariatric surgery weakly predicted the lean phenotype after adjusting for leptin and gut hormone levels. A margins plot demonstrated the interactions between amylin, spexin, GIP, and leptin levels that collectively predicted the probability of exhibiting the lean phenotype. These findings highlight amylin, GIP, leptin, and spexin as key hormonal predictors of fat mass, underscoring the critical role of gut hormones and adipokines in determining body fat distribution and the lean phenotype in humans.

Indexed as

AdipokinesAdiposityObesityPeptide HormonesAdipose TissueAdultBariatric SurgeryBody CompositionFemaleGastric Inhibitory PolypeptideHumansIslet Amyloid PolypeptideLeptinMaleMiddle AgedPhenotypeAdipokinesGastric Inhibitory PolypeptideIslet Amyloid PolypeptideLeptinPeptide HormonesSPX protein, human

Identifiers

PMID40192745
PMCPMC12447745

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.