No Evidence That Circulating GLP-1 or PYY Are Associated with Increased Satiety during Low Energy Diet-Induced Weight Loss: Modelling Biomarkers of Appetite.

Lim, Jia Jiet et al.·Nutrients·2023·
RPEP-071142023RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Not classified
Evidence
Not graded
Sample
Not reported

What This Study Found

Key Numbers

How They Did This

Why This Research Matters

What This Study Doesn't Tell Us

Trust & Context

Original Title:
No Evidence That Circulating GLP-1 or PYY Are Associated with Increased Satiety during Low Energy Diet-Induced Weight Loss: Modelling Biomarkers of Appetite.
Published In:
Nutrients, 15(10) (2023)
Database ID:
RPEP-07114

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
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Cite This Study

RPEP-07114·https://rethinkpeptides.com/research/RPEP-07114

APA

Lim, Jia Jiet; Liu, Yutong; Lu, Louise W; Sequeira, Ivana R; Poppitt, Sally D. (2023). No Evidence That Circulating GLP-1 or PYY Are Associated with Increased Satiety during Low Energy Diet-Induced Weight Loss: Modelling Biomarkers of Appetite.. Nutrients, 15(10). https://doi.org/10.3390/nu15102399

MLA

Lim, Jia Jiet, et al. "No Evidence That Circulating GLP-1 or PYY Are Associated with Increased Satiety during Low Energy Diet-Induced Weight Loss: Modelling Biomarkers of Appetite.." Nutrients, 2023. https://doi.org/10.3390/nu15102399

RethinkPeptides

RethinkPeptides Research Database. "No Evidence That Circulating GLP-1 or PYY Are Associated wit..." RPEP-07114. Retrieved from https://rethinkpeptides.com/research/lim-2023-no-evidence-that-circulating

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Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.