Causal relationships between cerebral cortical structure and preeclampsia: insights from bidirectional Mendelian randomization and colocalization analysis

Preeclampsia, a multifaceted condition characterized by high blood pressure during pregnancy, is linked to substantial health risks for both the mother and the fetus. Previous studies suggest potential neurological impacts, but the causal relationships between cortical structural changes and preeclampsia remain unclear. We utilized genome-wide association study data for cortical thickness (TH) and surface area (SA) across multiple brain regions and preeclampsia. Bidirectional Mendelian randomization (MR) analyses were conducted to assess causality, followed by co-localization analyses to confirm shared genetic architecture. Increased cortical TH in the inferior parietal and supramarginal regions, and an enlarged SA in the postcentral region, were significantly associated with higher preeclampsia risk. Conversely, preeclampsia was linked to increased SA in the supramarginal and middle temporal gyri, and decreased SA in the lingual gyrus. Co-localization analyses indicated distinct genetic determinants for cortical structures and preeclampsia. Our findings reveal bidirectional influences between cortical structural features and preeclampsia, suggesting neuroinflammatory and vascular mechanisms as potential pathways. These insights underscore the importance of considering brain structure in preeclampsia risk assessment and highlight the need for further research into neuroprotective strategies.

Authors

Publication Details

Journal
Cerebral Cortex
Published
2024-10-01
DOI
https://doi.org/10.1093/cercor/bhae400
Citations
2
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
1.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Causal relationships between cerebral cortical structure and preeclampsia: insights from bidirectional Mendelian randomization and colocalization analysis

Yan Li, Qiong Liu, Shaoqing Jiang, Weifen Zhong et al.
2 citations
Cerebral Cortex
Pregnancy and preeclampsia studies
1.17
article

Causal relationships between cerebral cortical structure and preeclampsia: insights from bidirectional Mendelian randomization and colocalization analysis

Yan Li, Qiong Liu, Shaoqing Jiang, Weifen Zhong, Aiyin Zhou, Hanfan Long
article en
2 citations

Abstract

Preeclampsia, a multifaceted condition characterized by high blood pressure during pregnancy, is linked to substantial health risks for both the mother and the fetus. Previous studies suggest potential neurological impacts, but the causal relationships between cortical structural changes and preeclampsia remain unclear. We utilized genome-wide association study data for cortical thickness (TH) and surface area (SA) across multiple brain regions and preeclampsia. Bidirectional Mendelian randomization (MR) analyses were conducted to assess causality, followed by co-localization analyses to confirm shared genetic architecture. Increased cortical TH in the inferior parietal and supramarginal regions, and an enlarged SA in the postcentral region, were significantly associated with higher preeclampsia risk. Conversely, preeclampsia was linked to increased SA in the supramarginal and middle temporal gyri, and decreased SA in the lingual gyrus. Co-localization analyses indicated distinct genetic determinants for cortical structures and preeclampsia. Our findings reveal bidirectional influences between cortical structural features and preeclampsia, suggesting neuroinflammatory and vascular mechanisms as potential pathways. These insights underscore the importance of considering brain structure in preeclampsia risk assessment and highlight the need for further research into neuroprotective strategies.

Cerebral CortexVol. 34(10)
Good health and well-being
Openalex Percentile: Top 19%
Pregnancy and preeclampsia studies
1.17
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 cerebral cortical structure and preeclampsia: insights from bidirectional Mendelian randomization and colocalization analysis — Yan Li, Qiong Liu, et al. · Cerebral Cortex (2024) | TGRS Research Map | TGRS