Back

Decitabine Reactivation of FoxM1-Dependent Endothelial Regeneration and Vascular Repair for Potential Treatment of Elderly ARDS and COVID-19 Patients

Huang, X.; Zhang, X.; Machireddy, N.; Mutlu, G.; Fang, Y.; Wu, D.; Zhao, Y.-Y.

2021-04-30 molecular biology
10.1101/2021.04.29.442061 bioRxiv
Show abstract

Aging is a major risk factor of high incidence and increased mortality of acute respiratory distress syndrome (ARDS) and COVID-19. We repot that aging impairs the intrinsic FoxM1-dependent endothelial regeneration and vascular repair program and causes persistent lung injury and high mortality following sepsis. Therapeutic gene transduction of FOXM1 in vascular endothelium or treatment with FDA-approved drug Decitabine was sufficient to reactivate FoxM1-dependent lung endothelial regeneration in aged mice, reverse aging-impaired resolution of inflammatory injury, and promote survival. In COVID-19 lung autopsy samples, FOXM1 expression was not induced in vascular endothelial cells of elderly patients in contrast to mid-age patients. Thus, Decitabine reactivation of FoxM1-dependent vascular repair represents a potential effective therapy for elderly COVID-19 and non-COVID-19 ARDS patients.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Nature Communications
○ 5641 papers in training set
Top 18%
9.8%
Similar papers in this journal
2
Aging Cell
○ 165 papers in training set
Top 0.4%
8.0%
Similar papers in this journal
3
Nature Aging
○ 60 papers in training set
Top 0.3%
5.6%
Similar papers in this journal
4
eLife
● 5828 papers in training set
Top 21%
5.6%
Similar papers in this journal
5
JCI Insight
● 277 papers in training set
Top 1%
4.4%
Similar papers in this journal
6
Cell Reports
○ 1498 papers in training set
Top 10%
4.1%
7
Journal of Clinical Investigation
● 179 papers in training set
Top 2%
3.3%
8
American Journal of Respiratory and Critical Care Medicine
◐ 43 papers in training set
Top 0.3%
3.1%
9
Cell Stem Cell
○ 62 papers in training set
Top 0.6%
2.8%
10
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 19%
2.7%
11
EMBO Molecular Medicine
○ 95 papers in training set
Top 0.4%
2.4%
50% of probability mass above
12
Arteriosclerosis, Thrombosis, and Vascular Biology
○ 71 papers in training set
Top 0.7%
2.1%
13
iScience
○ 1154 papers in training set
Top 15%
2.0%
14
Science Translational Medicine
● 127 papers in training set
Top 2%
1.7%
15
European Respiratory Journal
● 59 papers in training set
Top 0.6%
1.5%
16
Circulation
○ 74 papers in training set
Top 2%
1.5%
17
GeroScience
○ 109 papers in training set
Top 1%
1.4%
18
The Journals of Gerontology: Series A
◐ 29 papers in training set
Top 0.3%
1.3%
19
eBioMedicine
○ 183 papers in training set
Top 4%
1.3%
20
Molecular Therapy
○ 81 papers in training set
Top 1%
1.1%
21
Cardiovascular Research
◐ 37 papers in training set
Top 0.9%
1.1%
22
Science Advances
● 1243 papers in training set
Top 27%
1.1%
23
Cell Reports Medicine
○ 153 papers in training set
Top 4%
1.0%
24
Circulation Research
○ 47 papers in training set
Top 1%
1.0%
25
Science
● 477 papers in training set
Top 8%
1.0%
26
Frontiers in Immunology
○ 638 papers in training set
Top 9%
0.9%
27
PLOS ONE
● 5266 papers in training set
Top 58%
0.9%
28
EMBO Reports
○ 263 papers in training set
Top 6%
0.9%
29
JACC: Basic to Translational Science
○ 21 papers in training set
Top 0.7%
0.9%
30
Mucosal Immunology
○ 47 papers in training set
Top 1%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.