Associations of Serum GIP, GLP-1, and DPP-4 with Metabolic and Hormonal Profiles and Tobacco Exposure in Women with Polycystic Ovary Syndrome.

Bizoń, Anna et al.·International journal of molecular sciences·2025·
RPEP-101712025RETHINKTHC 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:
Associations of Serum GIP, GLP-1, and DPP-4 with Metabolic and Hormonal Profiles and Tobacco Exposure in Women with Polycystic Ovary Syndrome.
Published In:
International journal of molecular sciences, 26(15) (2025)
Database ID:
RPEP-10171

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-10171·https://rethinkpeptides.com/research/RPEP-10171

APA

Bizoń, Anna; Borkowska, Julia; Franik, Grzegorz; Piwowar, Agnieszka. (2025). Associations of Serum GIP, GLP-1, and DPP-4 with Metabolic and Hormonal Profiles and Tobacco Exposure in Women with Polycystic Ovary Syndrome.. International journal of molecular sciences, 26(15). https://doi.org/10.3390/ijms26157097

MLA

Bizoń, Anna, et al. "Associations of Serum GIP, GLP-1, and DPP-4 with Metabolic and Hormonal Profiles and Tobacco Exposure in Women with Polycystic Ovary Syndrome.." International journal of molecular sciences, 2025. https://doi.org/10.3390/ijms26157097

RethinkPeptides

RethinkPeptides Research Database. "Associations of Serum GIP, GLP-1, and DPP-4 with Metabolic a..." RPEP-10171. Retrieved from https://rethinkpeptides.com/research/bizon-2025-associations-of-serum-gip

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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.