Spatial Mapping of Genes Implicated in SARS-CoV-2 Neuroinvasion to Dorsolateral Prefrontal Cortex Gray Matter

Author:

Batchu Sai1,Diaz Michael2,Tran Jasmine3,Fadil Angela2ORCID,Taneja Kamil4,Patel Karan1,Lucke-Wold Brandon5ORCID

Affiliation:

1. Cooper Medical School, Rowan University, Camden, NJ 08103, USA

2. College of Medicine, University of Florida, Gainesville, FL 32611, USA

3. School of Medicine, University of Indiana, Indianapolis, IN 47405, USA

4. Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA

5. Department of Neurosurgery, University of Florida, Gainesville, FL 32611, USA

Abstract

Introduction: SARS-CoV-2 is the newest beta coronavirus family member to demonstrate neuroinvasive capability in severe cases of infection. Despite much research activity in the SARS-CoV-2/COVID-19 space, the gene-level biology of this phenomenon remains poorly understood. In the present analysis, we leveraged spatial transcriptomics methodologies to examine relevant gene heterogeneity in tissue retrieved from the human prefrontal cortex. Methods: Expression profiles of genes with established relations to the SARS-CoV-2 neuroinvasion process were spatially resolved in dorsolateral prefrontal cortex tissue (N = 4). Spotplots were generated with mapping to six (6) previously defined gray matter layers. Results: Docking gene BSG, processing gene CTSB, and viral defense gene LY6E demonstrated similar spatial enrichment. Docking gene ACE2 and transmembrane series proteases involved in spike protein processing were lowly expressed across DLPFC samples. Numerous other findings were obtained. Conclusion: Efforts to spatially represent expression levels of key SARS-CoV-2 brain infiltration genes remain paltry to date. Understanding the sobering history of beta coronavirus neuroinvasion represents a weak point in viral research. Here we provide the first efforts to characterize a motley of such genes in the dorsolateral prefrontal cortex.

Publisher

MDPI AG

Subject

General Medicine

Reference42 articles.

1. Cascella, M., Rajnik, M., Aleem, A., Dulebohn, S.C., and Di Napoli, R. StatPearls, StatPearls Publishing.

2. Provisional Mortality Data—United States, 2020;Ahmad;MMWR. Morb. Mortal. Wkly. Rep.,2021

3. Neuropsychiatric aspects of COVID-19 pandemic: A selective review;Dinakaran;Asian J. Psychiatry,2020

4. Mid and long-term neurological and neuropsychiatric manifestations of post-COVID-19 syndrome: A meta-analysis;Premraj;J. Neurol. Sci.,2022

5. Decoding SARS-CoV-2 hijacking of host mitochondria in COVID-19 pathogenesis;Singh;Am. J. Physiol. Cell Physiol.,2020

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