Cerebral blood flow alterations and host genetic association in individuals with long COVID: A transcriptomic-neuroimaging study

Author:

Wang Yao12ORCID,Yang Ziwei12,Zheng Xiumei12,Liang Xiao12,Wu Lin12,Wu Chengsi3,Dai Jiankun4,Cao Yuan567ORCID,Li Meng567,Zhou Fuqing12

Affiliation:

1. Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China

2. Clinical Research Center for Medical Imaging in Jiangxi Province, Nanchang, China

3. Department of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China

4. MR Research, GE Healthcare, Beijing, China

5. Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany

6. Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Halle-Jena-Magdeburg, Germany

7. Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany

Abstract

Neuroimaging studies have indicated that altered cerebral blood flow (CBF) was associated with the long-term symptoms of postacute sequelae of SARS-CoV-2 infection (PASC), also known as “long COVID”. COVID-19 and long COVID were found to be strongly associated with host gene expression. Nevertheless, the relationships between altered CBF, clinical symptoms, and gene expression in the central nervous system (CNS) remain unclear in individuals with long COVID. This study aimed to explore the genetic mechanisms of CBF abnormalities in individuals with long COVID by transcriptomic-neuroimaging spatial association. Lower CBF in the left frontal-temporal gyrus was associated with higher fatigue and worse cognition in individuals with long COVID. This CBF pattern was spatially associated with the expression of 2,178 genes, which were enriched in the molecular functions and biological pathways of COVID-19. Our study suggested that lower CBF is associated with persistent clinical symptoms in long COVID individuals, possibly as a consequence of the complex interactions among multiple COVID-19-related genes, which contributes to our understanding of the impact of adverse CNS outcomes and the trajectory of development to long COVID.

Publisher

SAGE Publications

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