Back

A 50-gene high-risk profile predictive of COVID-19 and Idiopathic Pulmonary Fibrosis mortality originates from a molecular imbalance in monocyte and T-cell subsets that reverses in survivors with post-COVID-19 Interstitial Lung Disease

Tourki, B.; Jia, M.; Karampitsakos, T.; Vera, I. M.; Arsenault, A.; Marlin, K.; Perrot, C. Y.; Allen, D.; Farsaei, F.; Rutenberg, D.; Bandyopadhyay, D.; Restrepo, R.; Qureshi, M. R.; Patel, K.; Tzouvelekis, A.; Kapetanaki, M.; Juan-Guardela, B.; Kim, K.; Benos, P. V.; Herazo-Maya, J.

2023-10-24 genomics
10.1101/2023.10.22.563156 bioRxiv
Show abstract

BackgroundWe aim to study the source of circulating immune cells expressing a 50-gene signature predictive of COVID-19 and IPF mortality. MethodsWhole blood and Peripheral Blood Mononuclear cells (PBMC) were obtained from 231 subjects with COVID-19, post-COVID-19-ILD, IPF and controls. We measured the 50-gene signature (nCounter, Nanostring), interleukin 6 (IL6), interferon {gamma}-induced protein (IP10), secreted phosphoprotein 1 (SPP1) and transforming growth factor beta (TGF-{beta}) by Luminex. PCR was used to validate COVID-19 endotypes. For single-cell RNA sequencing (scRNA-seq) we used Chromium Controller (10X Genomics). For analysis we used the Scoring Algorithm of Molecular Subphenotypes (SAMS), Cell Ranger, Seurat, Propeller, Kaplan-Meier curves, CoxPH models, Two-way ANOVA, T-test, and Fishers exact. ResultsWe identified three genomic risk profiles based on the 50-gene signature, and a subset of seven genes, associated with low, intermediate, or high-risk of mortality in COVID-19 with significant differences in IL6, IP10, SPP1 and TGF{beta}-1. scRNA-seq identified Monocytic-Myeloid-Derived Suppressive cells (M-MDSCs) expressing CD14+HLA DRlowCD163+ and high levels of the 7-gene signature (7Gene-M-MDSC) in COVID-19. These cells were not observed in post-COVID-19-ILD or IPF. The 43-gene signature was mostly expressed in CD4 T and CD8 T cell subsets. Increased expression of the 43 gene signature was seen in T cell subsets from survivors with post-COVID-19-ILD. The expression of these genes remained low in IPF. ConclusionA 50-gene, high-risk profile in COVID-19 is characterized by a genomic imbalance in monocyte and T-cell subsets that reverses in survivors with post-COVID-19 Interstitial Lung Disease

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Thorax
32 papers in training set
Top 0.1%
10.3%
2
EBioMedicine
39 papers in training set
Top 0.1%
8.6%
3
Frontiers in Immunology
586 papers in training set
Top 0.7%
8.6%
4
European Respiratory Journal
54 papers in training set
Top 0.2%
7.3%
5
American Journal of Respiratory Cell and Molecular Biology
38 papers in training set
Top 0.2%
4.9%
6
Respiratory Research
19 papers in training set
Top 0.1%
4.9%
7
American Journal of Respiratory and Critical Care Medicine
39 papers in training set
Top 0.2%
4.0%
8
Scientific Reports
3102 papers in training set
Top 35%
3.7%
50% of probability mass above
9
PLOS ONE
4510 papers in training set
Top 41%
3.3%
10
BMC Medical Genomics
36 papers in training set
Top 0.2%
3.1%
11
Nature Communications
4913 papers in training set
Top 44%
2.7%
12
Clinical Epigenetics
53 papers in training set
Top 0.3%
2.5%
13
The Journal of Infectious Diseases
182 papers in training set
Top 2%
1.9%
14
BMJ Open Respiratory Research
32 papers in training set
Top 0.3%
1.7%
15
Genome Medicine
154 papers in training set
Top 4%
1.7%
16
Computational and Structural Biotechnology Journal
216 papers in training set
Top 5%
1.5%
17
Cells
232 papers in training set
Top 4%
1.0%
18
ERJ Open Research
44 papers in training set
Top 0.6%
1.0%
19
eLife
5422 papers in training set
Top 53%
0.9%
20
JCI Insight
241 papers in training set
Top 6%
0.8%
21
International Journal of Molecular Sciences
453 papers in training set
Top 14%
0.8%
22
Metabolites
50 papers in training set
Top 1%
0.8%
23
Journal of Internal Medicine
12 papers in training set
Top 0.6%
0.8%
24
Journal of Cellular and Molecular Medicine
18 papers in training set
Top 1%
0.7%
25
Journal of Clinical Pathology
12 papers in training set
Top 0.6%
0.7%
26
International Journal of Infectious Diseases
126 papers in training set
Top 4%
0.7%
27
Cell Death Discovery
51 papers in training set
Top 2%
0.7%
28
Clinical and Translational Medicine
30 papers in training set
Top 1%
0.7%
29
Arthritis & Rheumatology
33 papers in training set
Top 0.6%
0.5%
30
American Journal of Physiology-Lung Cellular and Molecular Physiology
39 papers in training set
Top 0.5%
0.5%