Back

Skin As A Potential Entry Point For SARS-COV-2

Trubestskoy, D.; Grudzien, P.; Chudakova, D.; Klopot, A.; Bhalla, P.; Perez-White, B.; Budunova, I.

2026-04-08 immunology
10.64898/2026.04.07.717019 bioRxiv
Show abstract

The primary route of SARS-CoV-2 entry is via respiratory epithelium. However, many COVID-19 patients developed dermatological lesions, and SARS-CoV-2 RNA has been detected in the patients skin. Inflammatory skin diseases, psoriasis and atopic dermatitis (AD), significantly increased the risk of COVID-19. To evaluate the potential role of skin in SARS-CoV-2 host interactions, we utilized 3D human skin organoids (HSO) generated from human epidermal keratinocytes, as well as neonatal skin explants. HSO were treated with cytokines involved in acute and chronic skin inflammation and cytokine storm in severe COVID-19 disease, TNF-, IL-6, IL-1{beta}, and IFN-{gamma}, individually and in combination. HSO were also treated with Th1 (TNF- + IL-17) and Th2 (IL-4 + IL-13) cocktails inducing pro-psoriasis and pro-AD HSO changes, respectively. All individual cytokines, and especially their combinations, elevated the expression of ACE2 and TMPRSS2 at mRNA/protein levels. The Th2 induced only TMPRSS2, the Th1 predominantly induced ACE2. Topically applied Spike-pseudotyped lentiviral Tomato reporter, which binds ACE2 similarly to SARS-CoV-2, successfully infected control and cytokine-treated HSO as well as neonatal skin explants. Cytokine treatment, especially TNF- + IL-6 + IL-1{beta} + IFN-{gamma} and the Th1, significantly increased viral entry. Transcriptomic analysis further revealed partial overlap between gene expression signatures induced by Spike-mediated entry in inflamed HSO and those observed in lung tissue from COVID-19 patients, supporting the biological relevance of skin models. Together, these findings demonstrate that inflammation enhances the permissiveness of human skin to SARS-CoV-2 entry, suggesting that the skin may represent a previously underappreciated interface in viral host interactions.

Matching journals

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

1
Journal of Virology
456 papers in training set
Top 0.5%
12.4%
2
PLOS Pathogens
721 papers in training set
Top 1%
10.1%
3
Frontiers in Immunology
586 papers in training set
Top 0.8%
8.4%
4
Allergy
23 papers in training set
Top 0.1%
7.2%
5
Viruses
318 papers in training set
Top 0.8%
6.4%
6
Journal of Medical Virology
137 papers in training set
Top 0.7%
4.2%
7
Journal of Investigative Dermatology
42 papers in training set
Top 0.2%
3.7%
50% of probability mass above
8
Scientific Reports
3102 papers in training set
Top 41%
3.1%
9
Nature Communications
4913 papers in training set
Top 47%
2.1%
10
Journal of Allergy and Clinical Immunology
25 papers in training set
Top 0.3%
2.1%
11
Journal of Neuroinflammation
50 papers in training set
Top 0.3%
2.1%
12
iScience
1063 papers in training set
Top 10%
2.1%
13
eBioMedicine
130 papers in training set
Top 1%
1.8%
14
Cell Reports Medicine
140 papers in training set
Top 3%
1.8%
15
PLOS ONE
4510 papers in training set
Top 54%
1.7%
16
Emerging Microbes & Infections
74 papers in training set
Top 0.9%
1.7%
17
eLife
5422 papers in training set
Top 45%
1.5%
18
The Journal of Infectious Diseases
182 papers in training set
Top 3%
1.3%
19
JCI Insight
241 papers in training set
Top 5%
1.2%
20
Vaccines
196 papers in training set
Top 2%
1.2%
21
mBio
750 papers in training set
Top 10%
0.9%
22
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 5%
0.8%
23
Journal of Clinical Immunology
11 papers in training set
Top 0.2%
0.6%
24
Life Science Alliance
263 papers in training set
Top 2%
0.6%
25
ImmunoHorizons
21 papers in training set
Top 0.3%
0.6%
26
Journal of Experimental Medicine
106 papers in training set
Top 4%
0.6%
27
Experimental Dermatology
10 papers in training set
Top 0.3%
0.6%