HCA Data Explorer

Discriminating mild from critical COVID-19 by innate and adaptive immune single-cell profiling of bronchoalveolar lavages

Updated August 16, 2023

How the innate and adaptive host immune system miscommunicate to worsen COVID-19 immunopathology has not been fully elucidated. Here, we perform single-cell deep-immune profiling of bronchoalveolar lavage (BAL) samples from 5 patients with mild and 26 with critical COVID-19 in comparison to BALs from non-COVID-19 pneumonia and normal lung. We use pseudotime inference to build T-cell and monocyte-to-macrophage trajectories and model gene expression changes along them. In mild COVID-19, CD8+ resident-memory (TRM) and CD4+ T-helper-17 (TH17) cells undergo active (presumably antigen-driven) expansion towards the end of the trajectory, and are characterized by good effector functions, while in critical COVID-19 they remain more naïve. Vice versa, CD4+ T-cells with T-helper-1 characteristics (TH1-like) and CD8+ T-cells expressing exhaustion markers (TEX-like) are enriched halfway their trajectories in mild COVID-19, where they also exhibit good effector functions, while in critical COVID-19 they show evidence of inflammation-associated stress at the end of their trajectories. Monocyte-to-macrophage trajectories show that chronic hyperinflammatory monocytes are enriched in critical COVID-19, while alveolar macrophages, otherwise characterized by anti-inflammatory and antigen-presenting characteristics, are depleted. In critical COVID-19, monocytes contribute to an ATP-purinergic signaling-inflammasome footprint that could enable COVID-19 associated fibrosis and worsen disease-severity. Finally, viral RNA-tracking reveals infected lung epithelial cells, and a significant proportion of neutrophils and macrophages that are involved in viral clearance.

Junbin QianWomen's Hospital, Zhejiang Universitydr_qian@zju.edu.cn
Diether LambrechtsKU LeuvenDiether.Lambrechts@kuleuven.vib.be
Els Wauters1
Pierre Van Mol2
Abhishek Dinkarnath Garg1
Sander Jansen3
Yannick Van Herck1
Lore Vanderbeke1
Ayse Bassez1
Bram Boeckx1
Bert Malengier-Devlies3
Anna Timmerman1
Thomas Van Brussel1
Tina Van Buyten3
Rogier Schepers1
Elisabeth Heylen3
Dieter Dauwe1
Christophe Dooms1
Jan Gunst1
Greet Hermans1
Philippe Meersseman1
Dries Testelmans1
Jonas Yserbyt1
Sabine Tejpar1
Walter De Wever1
Patrick Matthys3
Johan Neyts3
Joost Wauters1
Junbin Qian4
Diether Lambrechts1
1KU Leuven
2University Hospitals Leuven
3Rega Institute, KU Leuven
4Women's Hospital, Zhejiang University
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/92892ab2-1334-4b1c-9761-14f5a73548ea

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://lambrechtslab.sites.vib.be/en/immune-atlas
EGA Accessions:

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Analysis Portals

None

Project Label

BALDiscriminatingCOVID-19

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

lung

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 5' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

matrix_generation

File Format

3 file formats

Cell Count Estimate

65.2k

Donor Count

35
csv.gz7 file(s)rds.gz7 file(s)xlsx1 file(s)