• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Medicine
  • Medicine Research
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Medicine
  • Medicine Research
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Hormonal predictors of the lean phenotype in humans.

    Thumbnail
    View/Open
    12209-Article text-66761-99018-10-20250418.pdf (1.299Mb)
    Date
    2025-04-02
    Author
    Ahmed, Mohamed Badie
    Habib, Abdella M
    Badran, Saif
    Alsherawi, Abeer
    Al-Mohannadi, Fatima
    Elnefaily, Sherouk Essam
    Hammouda, Atalla
    Glass, Graeme E
    Abdalhakam, Ibrahem
    Abou-Samra, Abdul-Badi
    Doi, Suhail A
    ...show more authors ...show less authors
    Metadata
    Show full item record
    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.
    DOI/handle
    http://dx.doi.org/10.17305/bb.2025.12209
    http://hdl.handle.net/10576/64600
    Collections
    • Medicine Research [‎1809‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video