Back

Age-dependent disease tolerance to SARS-CoV-2 infection

Trikha Rastogi, S.; Mesquita, M.; Fonseca, D. M.; Salazar, S.; Cardoso, S.; Faisca, P.; Drotleff, B.; Alenquer, M.; Lone, J.-C.; Miguel, V.; Sancho, D.; Herrero, L.; Paixao, T.; Amorim, M. J.; Jentho, E.; Graca, L.; Kitoko, J. Z.; Soares, M. P.

2026-06-30 immunology
10.64898/2026.06.27.734955 bioRxiv
Show abstract

Disease tolerance limits infectious disease severity through tissue damage control mechanisms that do not target pathogens directly. Here we demonstrate that age-dependent decline in adipose tissue lipolysis compromises disease tolerance to SARS-CoV-2 infection. Young adult mice exhibited robust adipocyte lipolysis and 80% survival, whereas old mice showed impaired adipocyte lipolysis and only 20% survival. Genetic repression of adipocyte lipolysis eliminated this age-dependent survival advantage without affecting viral titers, revealing that adipocyte lipolysis is essential for disease tolerance to SARS-CoV-2 in young adults. Impaired adipocyte lipolysis in aged mice was associated with a plasma lipidomic signature that predicts COVID-19 severity and mortality in three independent human cohorts. Mechanistically, adipocyte lipolysis provides free fatty acids (FFA) to support bone marrow emergency myelopoiesis, through CD36- and CPT1-dependent FFA cellular uptake and mitochondrial import, respectively. Bone marrow derived monocytes migrate to the lung via CCL2/CCR2-dependent mechanism where they enforce an immune-metabolic communication network with parenchymal cells to sustain lung structure and function. This circuit is not required to confer protection against influenza infection, revealing pathogen-specific disease tolerance mechanisms. These findings reveal adipose tissue catabolism as a central age-dependent factor responsible for exacerbated COVID-19 mortality in aged populations.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 16%
11.5%
2
Nature Metabolism
69 papers in training set
Top 0.2%
10.3%
3
Immunity
67 papers in training set
Top 0.1%
9.5%
4
Nature Aging
60 papers in training set
Top 0.2%
7.1%
5
eLife
5828 papers in training set
Top 20%
6.1%
6
Journal of Experimental Medicine
119 papers in training set
Top 0.4%
5.4%
7
Cell Metabolism
57 papers in training set
Top 0.2%
5.3%
50% of probability mass above
8
Cell Reports
1498 papers in training set
Top 7%
5.3%
9
Nature Immunology
79 papers in training set
Top 0.7%
4.2%
10
Science
477 papers in training set
Top 2%
3.9%
11
Science Immunology
88 papers in training set
Top 1%
2.4%
12
Journal of Clinical Investigation
179 papers in training set
Top 2%
2.3%
13
Science Advances
1243 papers in training set
Top 16%
2.3%
14
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 25%
2.1%
15
The Journal of Immunology
166 papers in training set
Top 1%
1.9%
16
The EMBO Journal
309 papers in training set
Top 4%
1.7%
17
Nature
645 papers in training set
Top 9%
1.1%
18
Autophagy
39 papers in training set
Top 0.4%
1.1%
19
JCI Insight
277 papers in training set
Top 7%
1.0%
20
Molecular Cell
350 papers in training set
Top 5%
1.0%
21
iScience
1154 papers in training set
Top 37%
0.8%
22
Aging Cell
165 papers in training set
Top 2%
0.8%
23
Cell
431 papers in training set
Top 11%
0.8%
24
Communications Biology
993 papers in training set
Top 32%
0.8%
25
Science Translational Medicine
127 papers in training set
Top 5%
0.6%
26
EMBO Reports
263 papers in training set
Top 9%
0.6%
27
Life Science Alliance
285 papers in training set
Top 10%
0.6%