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Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19.

Updated August 22, 2023

BackgroundCoronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has been associated with neurological and neuropsychiatric illness in many individuals. We sought to further our understanding of the relationship between brain tropism, neuro-inflammation, and host immune response in acute COVID-19 cases.MethodsThree brain regions (dorsolateral prefrontal cortex, medulla oblongata, and choroid plexus) from 5 patients with severe COVID-19 and 4 controls were examined. The presence of the virus was assessed by western blot against viral spike protein, as well as viral transcriptome analysis covering > 99% of SARS-CoV-2 genome and all potential serotypes. Droplet-based single-nucleus RNA sequencing (snRNA-seq) was performed in the same samples to examine the impact of COVID-19 on transcription in individual cells of the brain.ResultsQuantification of viral spike S1 protein and viral transcripts did not detect SARS-CoV-2 in the postmortem brain tissue. However, analysis of 68,557 single-nucleus transcriptomes from three distinct regions of the brain identified an increased proportion of stromal cells, monocytes, and macrophages in the choroid plexus of COVID-19 patients. Furthermore, differential gene expression, pseudo-temporal trajectory, and gene regulatory network analyses revealed transcriptional changes in the cortical microglia associated with a range of biological processes, including cellular activation, mobility, and phagocytosis.ConclusionsDespite the absence of detectable SARS-CoV-2 in the brain at the time of death, the findings suggest significant and persistent neuroinflammation in patients with acute COVID-19.

Panos RoussosPamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029panagiotis.roussos@mssm.edu
John F Fullard1
Hao-Chih Lee1
Georgios Voloudakis1
Shengbao Suo2
Behnam Javidfar3
Zhiping Shao1
Cyril Peter3
Wen Zhang1
Shan Jiang1
André Corvelo4
Heather Wargnier5
Emma Woodoff-Leith5
Dushyant P Purohit6
Sadhna Ahuja5
Nadejda M Tsankova5
Nathalie Jette7
Gabriel E Hoffman1
Schahram Akbarian3
Mary Fowkes5
John F Crary5
Guo-Cheng Yuan8
Panos Roussos9
1Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
2Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
3Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
4New York Genome Center, New York, NY, USA.
5Department of Pathology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
6Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
7Department of Neurology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
8Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
9Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029
Rachel Schwartz

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/0911cc04-06d6-4ffc-8318-b90b0039e8ad
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GEO Series Accessions:

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Analysis Portals

None

Project Label

Roussos-Human-10x3pv3

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

brain

Organ Part

3 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

27 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 3' v3

Nucleic Acid Source

single nucleus

Paired End

false

Analysis Protocol

analysis_protocol_1, analysis_protocol_2, analysis_protocol_3

File Format

4 file formats

Cell Count Estimate

68.6k

Donor Count

9
csv.gz4 file(s)fastq.gz72 file(s)tar.gz1 file(s)xlsx1 file(s)