Back

Integrated single-cell RNA sequencing analysis reveals alterations of ageing human lung endothelium heterogeneity in idiopathic pulmonary fibrosis

Faulkner, E. C.; Moverley, A. A.; Hart, S. P.; Nikitenko, L. L.

2022-03-10 respiratory medicine
10.1101/2022.03.08.22272025 medRxiv
Show abstract

BackgroundOlder age is the main risk factor for chronic lung diseases including idiopathic pulmonary fibrosis (IPF). Halting or reversing progression of IPF remains an unmet clinical need due to limited knowledge of underlying mechanisms. The lung circulatory system, composed of blood (pulmonary and bronchial) and lymphatic vessels networks, has been implicated in IPF pathophysiology in elderly people, based solely on reports of altered density and increased permeability of vessels. AimWe aimed to define heterogeneity and IPF-associated changes of lung endothelial cells (EC or endothelium) by comparing gene expression in tissues from elderly people - transplant donors and recipients with IPF. MethodsSingle-cell RNA sequencing (scRNAseq) datasets of "ageing lung" tissues were selected only from those publicly available sources that contain age-matching samples for both groups (49- 77 years old donors and IPF patients; nine pairs in total), integrated and compared. Findings were validated by immunohistochemistry using EC-specific markers. ResultsThe generation of integrated single-cell maps of ageing lung tissues revealed 17 subpopulations of endothelium (12 for blood and 5 for lymphatic vessels, including 9 novel), with distinct transcriptional profiles. In IPF lung, the heterogeneity of ageing lung endothelium was significantly altered - both in terms of cell numbers (linked to disease- related changes in tissue composition) and differentially expressed genes (associated with fibrosis, inflammation, differentiation and vasodilation) in individual pulmonary, bronchial and lymphatic EC subpopulations. ConclusionsThese findings reveal underappreciated extent of heterogeneity and IPF-associated changes of ageing lung endothelium. Our data suggest direct involvement of specific subpopulations of ageing lung endothelium in IPF pathophysiology, uncovering cellular and molecular targets which may have potential diagnostic, prognostic and therapeutic relevance. This study creates a conceptual framework for appreciating the disease-specific heterogeneity of ageing lung endothelium as a hallmark of IPF.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
European Respiratory Journal
54 papers in training set
Top 0.1%
41.7%
2
American Journal of Respiratory and Critical Care Medicine
39 papers in training set
Top 0.1%
10.6%
50% of probability mass above
3
ERJ Open Research
44 papers in training set
Top 0.2%
5.1%
4
Scientific Reports
3102 papers in training set
Top 33%
3.8%
5
Respiratory Research
19 papers in training set
Top 0.1%
3.4%
6
Frontiers in Medicine
113 papers in training set
Top 2%
2.7%
7
Clinical Immunology
21 papers in training set
Top 0.2%
2.0%
8
Frontiers in Pharmacology
100 papers in training set
Top 2%
2.0%
9
American Journal of Respiratory Cell and Molecular Biology
38 papers in training set
Top 0.4%
2.0%
10
Journal of Translational Medicine
46 papers in training set
Top 0.7%
1.8%
11
Thorax
32 papers in training set
Top 0.4%
1.8%
12
BMJ Open Respiratory Research
32 papers in training set
Top 0.3%
1.8%
13
eLife
5422 papers in training set
Top 40%
1.7%
14
Journal of Cystic Fibrosis
15 papers in training set
Top 0.1%
1.6%
15
Aging Cell
144 papers in training set
Top 2%
1.2%
16
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 6%
1.2%
17
Frontiers in Immunology
586 papers in training set
Top 6%
1.0%
18
Human Molecular Genetics
130 papers in training set
Top 3%
0.8%
19
American Journal of Physiology-Lung Cellular and Molecular Physiology
39 papers in training set
Top 0.4%
0.8%
20
Genomics
60 papers in training set
Top 3%
0.8%
21
eBioMedicine
130 papers in training set
Top 4%
0.8%
22
Metabolites
50 papers in training set
Top 1%
0.7%
23
American Journal of Physiology-Cell Physiology
34 papers in training set
Top 0.4%
0.7%
24
Critical Care
14 papers in training set
Top 0.7%
0.5%
25
iScience
1063 papers in training set
Top 39%
0.5%
26
Arthritis & Rheumatology
33 papers in training set
Top 0.6%
0.5%
27
Clinical and Translational Medicine
30 papers in training set
Top 2%
0.5%
28
PLOS ONE
4510 papers in training set
Top 72%
0.5%