Causal relationships between metabolic syndrome, plasma metabolites, and female reproductive diseases: insights from a two-step mendelian randomization approach

This investigation established that MetS causally elevates the risk of certain female reproductive diseases and identified plasma metabolites that influence these conditions. These findings enhance the understanding of the etiological pathways involved in MetS and reproductive disorders, highlighting plasma metabolites as potential biomarkers or therapeutic targets.

Authors

Institutions

Publication Details

Journal
Nutrition & Metabolism
Published
2025-06-13
DOI
https://doi.org/10.1186/s12986-025-00955-8
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Causal relationships between metabolic syndrome, plasma metabolites, and female reproductive diseases: insights from a two-step mendelian randomization approach

Panwei Hu, Li Li, Qinhua Zhang, Ningyu Sun et al.
1 citations
Nutrition & Metabolism
Genetic Associations and Epidemiology
1.82
article

Causal relationships between metabolic syndrome, plasma metabolites, and female reproductive diseases: insights from a two-step mendelian randomization approach

Panwei Hu, Li Li, Qinhua Zhang, Ningyu Sun, Yi Lin, Juanjuan Ma
article en
1 citations

Abstract

This investigation established that MetS causally elevates the risk of certain female reproductive diseases and identified plasma metabolites that influence these conditions. These findings enhance the understanding of the etiological pathways involved in MetS and reproductive disorders, highlighting plasma metabolites as potential biomarkers or therapeutic targets.

Nutrition & MetabolismVol. 22(1)
Shanghai University of Traditional Chinese Medicine (CN), Shuguang Hospital (CN)
Science and Technology Commission of Shanghai Municipality
Openalex Percentile: Top 15%
Genetic Associations and Epidemiology
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Causal relationships between metabolic syndrome, plasma metabolites, and female reproductive diseases: insights from a two-step mendelian randomization approach — Panwei Hu, Li Li, et al. · Nutrition & Metabolism (2025) | TGRS Research Map | TGRS