» Articles » PMID: 39507894

Retinol Intake and PCOS Management: a Plasma Metabolite and Protein Analysis Via Mendelian Randomization and NHANES 2011-2016

Overview
Journal Front Nutr
Date 2024 Nov 7
PMID 39507894
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Polycystic Ovary Syndrome (PCOS) represents a complex endocrine disorder characterized by a significant interplay with metabolic dysfunction and obesity. This research endeavors to elucidate the causal dynamics among plasma metabolites, proteins, and PCOS, alongside Body Mass Index (BMI), to pinpoint prospective therapeutic interventions.

Methods: This investigation employed Mendelian randomization (MR) analyses combined with data derived from the National Health and Nutrition Examination Survey (NHANES) to explore the relationships between 1,400 plasma metabolites and PCOS, factoring in BMI adjustments. Additionally, the study examined the influence of plasma proteins and performed a retrospective cross-sectional analysis focusing on retinol consumption and testosterone levels.

Results: MR analyses showed metabolite Glycosyl-N-(2-hydroxynervonoyl)-sphingosine (GNS) and protein Keratin 19 (KRT19) were identified as significant markers in the context of PCOS and BMI adjustments. A Phenome-Wide Association Study (PheWAS) underscored the linkage between KRT19 and BMI, while gene-drug interaction findings demonstrated a connection between KRT19 and retinol. Analysis for NHANES data disclosed a negative correlation between retinol intake and testosterone levels, particularly within normal weight and obese cohorts, suggesting the feasibility of dietary interventions for PCOS management.

Conclusion: The study sheds light on the intricate interactions between plasma metabolites, proteins, and PCOS, considering BMI variations, and highlights KRT19 protein as a promising therapeutic target. The outcomes support the integration of retinol consumption into dietary strategies to regulate testosterone levels and potentially alleviate PCOS symptoms, underscoring the necessity for personalized nutritional and therapeutic approaches in the effective management of PCOS.

References
1.
Bowden J, Davey Smith G, Haycock P, Burgess S . Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genet Epidemiol. 2016; 40(4):304-14. PMC: 4849733. DOI: 10.1002/gepi.21965. View

2.
Ruth K, Day F, Tyrrell J, Thompson D, Wood A, Mahajan A . Using human genetics to understand the disease impacts of testosterone in men and women. Nat Med. 2020; 26(2):252-258. PMC: 7025895. DOI: 10.1038/s41591-020-0751-5. View

3.
Stanley K . Design of randomized controlled trials. Circulation. 2007; 115(9):1164-9. DOI: 10.1161/CIRCULATIONAHA.105.594945. View

4.
Tyrmi J, Arffman R, Pujol-Gualdo N, Kurra V, Morin-Papunen L, Sliz E . Leveraging Northern European population history: novel low-frequency variants for polycystic ovary syndrome. Hum Reprod. 2021; 37(2):352-365. PMC: 8804330. DOI: 10.1093/humrep/deab250. View

5.
Zore T, Joshi N, Lizneva D, Azziz R . Polycystic Ovarian Syndrome: Long-Term Health Consequences. Semin Reprod Med. 2017; 35(3):271-281. DOI: 10.1055/s-0037-1603096. View