Understanding the SARS-CoV-2–Human Liver Interactome Using a Comprehensive Analysis of the Individual Virus–Host Interactions
Open accessPublished version of a preprint
Abstract
Many metabolic processes at the molecular level support both viral attack strategies and human defenses during COVID-19. This knowledge is of vital importance in the design of antiviral drugs. In this study, we extracted 18 articles (2021–2023) from PubMed reporting the discovery of hub nodes specific for the liver during COVID-19, identifying 142 hub nodes. They are highly connected proteins from which to obtain deep functional information on viral strategies when used as functional seeds. Therefore, we evaluated the functional and structural significance of each of them to endorse their reliable use as seeds. After filtering, the remaining 111 hubs were used to obtain by STRING an enriched interactome of 1111 nodes (13,494 interactions). It shows the viral strategy in the liver is to attack the entire cytoplasmic translational system, including ribosomes, to take control of protein biosynthesis. We used the SARS2-Human Proteome Interaction Database (33,791 interactions), designed by us with BioGRID data to implement a reverse engineering process that identified human proteins actively interacting with viral proteins. The results show 57% of human liver proteins are directly involved in COVID-19, a strong impairment of the ribosome and spliceosome, an antiviral defense mechanism against cellular stress of the p53 system, and, surprisingly, a viral capacity for multiple protein attacks against single human proteins that reveal underlying evolutionary–topological molecular mechanisms. Viral behavior over time suggests different molecular strategies for different organs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Burley, S. K., Bhikadiya, C., Bi, C., Bittrich, S., Chen, L., Crichlow, G. V., Christie, C. H., Dalenberg, K., Di Costanzo, L., Duarte, J. M., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1038 · Cited by 1,581 · see citing works
Markov, P. V., Ghafari, M., Beer, M., Lythgoe, K., Simmonds, P., Stilianakis, N. I., & Katzourakis, A. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-023-00878-2 · Cited by 1,179 · see citing works
Improved prediction of protein-protein interactions using AlphaFold2
Bryant, P., Pozzati, G., & Elofsson, A. (2021) · doi:10.1101/2021.09.15.460468 · Cited by 1,025 · see citing works
Squire, L. R., Genzel, L., Wixted, J. T., & Morris, R. G. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021766 · Cited by 700 · see citing works
Liver zonation: Novel aspects of its regulation and its impact on homeostasis
Gebhardt, R. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i26.8491 · Cited by 275 · see citing works
Towards a structurally resolved human protein interaction network
Burke, D. F., Bryant, P., Barrio-Hernandez, I., Memon, D., Pozzati, G., Shenoy, A., Zhu, W., Dunham, A. S., Albanese, P., Keller, A., et al. (2023) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00910-8 · Cited by 269 · see citing works
Gene Expression Intensity Shapes Evolutionary Rates of the Proteins Encoded by the Vertebrate Genome
Subramanian, S., & Kumar, S. (2004) · Genetics · doi:10.1534/genetics.104.028944 · Cited by 250 · see citing works
SARS-CoV-2 spreads through cell-to-cell transmission
Zeng, C., Evans, J. P., King, T., Zheng, Y.-M., Oltz, E. M., Whelan, S. P. J., Saif, L. J., Peeples, M. E., & Liu, S.-L. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2111400119 · Cited by 246 · see citing works
SIRT1 activation promotes energy homeostasis and reprograms liver cancer metabolism
Varghese, B., Chianese, U., Capasso, L., Sian, V., Bontempo, P., Conte, M., Benedetti, R., Altucci, L., Carafa, V., & Nebbioso, A. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04440-9 · Cited by 31 · see citing works
An Analysis of <i>ESR2</i> and <i>CYP19A1</i> Gene Expression Levels in Women With Endometriosis
SZAFLIK, T., SMOLARZ, B., MROCZKOWSKA, B., KULIG, B., SOJA, M., ROMANOWICZ, H., BRYŚ, M., FORMA, E., & SZYŁŁO, K. (2020) · In Vivo · doi:10.21873/invivo.11970 · Cited by 11 · see citing works
Flagged first, then by citations
- Authors
- Colonna, G.
- Affiliations
- University of Campania "Luigi Vanvitelli" (IT)
- Corresponding author
- Colonna, Giovanni
- ORCID
- Colonna, Giovanni
- Venue
- Livers
- Publisher
- MDPI AG
- Published
- 2024-04-30
- Volume
- 4
- Issue
- 2
- Pages
- 209-239
- ISSN
- 2673-4389 (ISSN-L)
- OpenAlex
- W4396575546
- Cited by
- 7
- References
- 11
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Livers (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- SARS-CoV-2, COVID-19 pandemic, liver, hub proteins, protein-protein interaction, ribosome, protein synthesis, spliceosome, p53, antiviral defense, antiviral drug targets
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review