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Abstract #3145

Brain white matter microstructure as a predictor of fatigue progression in kidney transplant recipients

Xinyi Zhu1, Junya Mu1, Yuchen Zhang1, Jiaxin Tian1, Xinyi Wang1, Chiyin Li1, Runzong Gou1, Yukun Gou1, Yuchen Liu2, Buhao Chen1,3, and Jing He1,3
1The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, 2Ge HealthCare MR Research, Beijing, China, 3Xi'an jiaotong university, Xi'an, China

Synopsis

Keywords: White Matter, Transplantation, COVID-19

Motivation: Fatigue affects over half of kidney transplant recipients (KTRs), investigating white matter (WM) microstructure in KTRs could guide targeted interventions.

Goal(s): This study aims to identify WM microstructural characteristics in KTRs, their contribution to fatigue, and relevant renal function indicators, while assessing their predictive role in post-COVID-19 fatigue development.

Approach: We used DKI-based tract-based spatial statistics to compare WM microstructure between KTRs and HCs, examining its relationship with renal function and fatigue.

Results: KTRs showed reduced microstructural complexity in the right cingulum hippocampus tract compared to HCs, a predictor of both current and post-COVID-19 fatigue, with urea levels significantly impacting this association.

Impact: This study suggests that WM complexity may be a biomarker for fatigue progression in KTRs, potentially linking renal function to neuropsychiatric symptoms. These findings offer insights into mechanisms underlying fatigue in KTRs and point to possible therapeutic targets.

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Keywords