Evidence map›Paper›PMID 39148839›Full record

ArticlemedRxiv : the preprint server for health sciences2024

The Interaction Effects of Sex, Age, APOE and Common Health Risk Factors on Human Brain Functions.

Tengfei Li, Jie Chen, Bingxin Zhao, Gwenn A Garden, Kelly S Giovanello, Guorong Wu, Hongtu Zhu

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tengfei LiBiomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0001-6142-3865
Jie ChenDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Bingxin ZhaoDepartment of Statistics and Data Science, the Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
Gwenn A GardenDepartment of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kelly S GiovanelloDepartment of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Guorong WuDepartment of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Hongtu ZhuBiomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

AIM-AI: an Actionable, Integrated and Multiscale genetic map of Alzheimer's disease via deep learningU01AG079847 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Christopher A. Gaiteri, Xiaoqian Jiang · 2023 to 2026
$5.1M
Mapping the Causal Genetic-Imaging-Clinical Pathway for Alzheimer's DiseaseRF1AG082938 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bingxin Zhao, Hongtu Zhu · 2023 to 2026
$3.6M
Analysis of Big Data Squared in Biomedical StudiesR01MH116527 · NIMH · YALE UNIVERSITY · PI ZHANG, HEPING · 2018 to 2022
$2.3M
A Scalable Platform for Exploring and Analyzing Whole Brain Tissue Cleared ImagesR01NS110791 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WU, GUORONG · 2019 to 2023
$1.9M
A comprehensive imaging genetics framework for osteoarthritis researchR01AR082684 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NIETHAMMER, MARC, ZHU, HONGTU · 2024 to 2025
$1.4M
NIAMS NIH HHS R01 AR082684NIA NIH HHS RF1 AG082938NIA NIH HHS U01 AG079847NIMH NIH HHS R01 MH116527NINDS NIH HHS R01 NS110791
6 · The paper itself

Abstract

Importance: Nonlinear changes in brain function during aging are shaped by a complex interplay of factors, including sex, age, genetics, and modifiable health risk factors. However, the combined effects and underlying mechanisms of these factors on brain functional connectivity remain poorly understood. Objective: To comprehensively investigate the combined associations of sex, age, Design Setting and Participants: This analysis used data from 36,630 UK Biobank participants, aged 44-81, who were assessed for sex, age, Main Outcomes and Measures: Brain functional connectivities were evaluated through within- and between-network functional connectivities and connectivity strength. Associations between risk factors and brain functional connectivities, including their interaction effects, were analyzed. Results: Hypertension, BMI, and education were the top three influential factors. Sex-specific effects were also observed in interactions involving APOE4 gene, smoking, alcohol consumption, diabetes, BMI, and education. Notably, a negative sex-excessive alcohol interaction showed a stronger negative effect on functional connectivities in males, particularly between the dorsal attention network and the language network, while moderate alcohol consumption appeared to have protective effects. A significant negative interaction between sex and Conclusions and Relevance: The findings highlight significant sex disparities in the associations between age, the

Identifiers

PMID39148839
PMCPMC11326347

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.