Causal Relationship Between Blood Metabolomics and Female Pattern Hair Loss: A Bidirectional Mendelian Randomization Study

Through integration of genomic and metabolomic data, we identified blood metabolites that may be associated with the development of female pattern hair loss. Our findings provide novel insights into the pathogenic mechanisms of this condition. These findings have significant implications for early diagnosis, preventive measures, and treatment.

Authors

Institutions

Publication Details

Journal
Clinical Cosmetic and Investigational Dermatology
Published
2025-02-01
DOI
https://doi.org/10.2147/ccid.s494185
Primary Topic
Hair Growth and Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Causal Relationship Between Blood Metabolomics and Female Pattern Hair Loss: A Bidirectional Mendelian Randomization Study

Miao Jiang, Xu Zhao, Liangliang Shen, L.-H. Li et al.
1 links
Clinical Cosmetic and Investigational Dermatology
Hair Growth and Disorders
article

Causal Relationship Between Blood Metabolomics and Female Pattern Hair Loss: A Bidirectional Mendelian Randomization Study

Miao Jiang, Xu Zhao, Liangliang Shen, L.-H. Li, Lili Zhang, Yu Han, Peng Lin
article en

Abstract

Through integration of genomic and metabolomic data, we identified blood metabolites that may be associated with the development of female pattern hair loss. Our findings provide novel insights into the pathogenic mechanisms of this condition. These findings have significant implications for early diagnosis, preventive measures, and treatment.

Clinical Cosmetic and Investigational DermatologyVol. Volume 18
Tongji University (CN), Tongji Hospital (CN)
Shanghai Municipal Health Commission
Gender equality
Openalex Percentile: Top 96%
Hair Growth and Disorders
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.