Kidney-brain crosstalk: early assessment of brain damage in chronic kidney disease by using brain microcirculation impariment features

Motivation: Chronic kidney disease (CKD) prevalence is rising worldwide, potentially impacting brain health via vascular pathways. Goal(s): Compare brain damage across CKD severity levels, identify key imaging features, and provide early indicators. Approach: Enrolled 80 CKD patients, gathered eGFR and MRI data, analyzed cerebral microcirculation features and correlated them with CKD severity using ANOVA and logistic regression. Results: Severe CKD correlates with higher WMH scores; WMH identified as an independent predictor of brain damage in CKD patients. Impact: WMH potentially serving as an early warning indicator of the severity of cerebral damage in kidney disease.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/5062
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
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article

Kidney-brain crosstalk: early assessment of brain damage in chronic kidney disease by using brain microcirculation impariment features

Aoxue Mei, Xin Lou, Jianxun Qu, Jinhao Lyu et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
MRI in cancer diagnosis
article

Kidney-brain crosstalk: early assessment of brain damage in chronic kidney disease by using brain microcirculation impariment features

Aoxue Mei, Xin Lou, Jianxun Qu, Jinhao Lyu, Xiaolin Guo
article en

Abstract

Motivation: Chronic kidney disease (CKD) prevalence is rising worldwide, potentially impacting brain health via vascular pathways. Goal(s): Compare brain damage across CKD severity levels, identify key imaging features, and provide early indicators. Approach: Enrolled 80 CKD patients, gathered eGFR and MRI data, analyzed cerebral microcirculation features and correlated them with CKD severity using ANOVA and logistic regression. Results: Severe CKD correlates with higher WMH scores; WMH identified as an independent predictor of brain damage in CKD patients. Impact: WMH potentially serving as an early warning indicator of the severity of cerebral damage in kidney disease.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
MRI in cancer diagnosis
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