The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infection
Open accessAbstract
Pathogenic human coronaviruses (CoVs), such as the severe acute respiratory syndrome (SARS)-CoV and the Middle East respiratory syndrome–CoV, cause acute respiratory illness. Epidemiological data from the 2002–2003 SARS epidemic and recent Middle East respiratory syndrome outbreak indicate that there may be sex-dependent differences in disease outcomes. To investigate these differences, we infected male and female mice of different age groups with SARS-CoV and analyzed their susceptibility to the infection. Our results showed that male mice were more susceptible to SARS-CoV infection compared with age-matched females. The degree of sex bias to SARS-CoV infection increased with advancing age, such that middle-aged mice showed much more pronounced differences compared with young mice. Enhanced susceptibility of male mice to SARS-CoV was associated with elevated virus titers, enhanced vascular leakage, and alveolar edema. These changes were accompanied by increased accumulation of inflammatory monocyte macrophages and neutrophils in the lungs of male mice, and depletion of inflammatory monocyte macrophages partially protected these mice from lethal SARS. Moreover, the sex-specific differences were independent of T and B cell responses. Furthermore, ovariectomy or treating female mice with an estrogen receptor antagonist increased mortality, indicating a protective effect for estrogen receptor signaling in mice infected with SARS-CoV. Together, these data suggest that sex differences in the susceptibility to SARS-CoV in mice parallel those observed in patients and also identify estrogen receptor signaling as critical for protection in females.
Overview
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
Verification
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.
Citations
Cites
Sex differences in immune responses
Klein, S. L., & Flanagan, K. L. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.90 · Cited by 6,370
Identification of a novel coronavirus in patients with severe acute respiratory syndrome
Drosten, C., Günther, S., Preiser, W., van der Werf, S., Brodt, H.-R., Becker, S., Rabenau, H., Panning, M., Kolesnikova, L., Fouchier, R. A. M., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030747 · Cited by 4,574
Isolation and characterization of a bat SARS-like coronavirus that uses the ACE2 receptor
Ge, X.-Y., Li, J.-L., Yang, X.-L., Chmura, A. A., Zhu, G., Epstein, J. H., Mazet, J. K., Hu, B., Zhang, W., Peng, C., et al. (2013) · Nature · doi:10.1038/nature12711 · Cited by 1,778
Age-dependent dysregulation of innate immunity
Shaw, A. C., Goldstein, D. R., & Montgomery, R. R. (2013) · Nature Reviews Immunology · doi:10.1038/nri3547 · Cited by 1,061
Malkin, C. J., Pugh, P. J., Jones, R. D., Kapoor, D., Channer, K. S., & Jones, T. H. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-031069 · Cited by 731
Zhao, J., Zhao, J., Legge, K., & Perlman, S. (2011) · Journal of Clinical Investigation · doi:10.1172/jci59777 · Cited by 265
Self-citation
Cited by
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., Ji, R., Wang, H., Wang, Y., & Zhou, Y. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.03.017 · Cited by 4,206
Sex and gender: modifiers of health, disease, and medicine
Mauvais-Jarvis, F., Bairey Merz, N., Barnes, P. J., Brinton, R. D., Carrero, J.-J., DeMeo, D. L., De Vries, G. J., Epperson, C. N., Govindan, R., Klein, S. L., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31561-0 · Cited by 2,001
The aging lung: Physiology, disease, and immunity
Schneider, J. L., Rowe, J. H., Garcia-de-Alba, C., Kim, C. F., Sharpe, A. H., & Haigis, M. C. (2021) · Cell · doi:10.1016/j.cell.2021.03.005 · Cited by 500
Metadata
- Authors
- Channappanavar, R., Fett, C., Mack, M., Ten Eyck, P. P., Meyerholz, D. K., & Perlman, S.
- Venue
- The Journal of Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-05
- Volume
- 198
- Issue
- 10
- Pages
- 4046-4053
- ISSN
- 0022-1767 (ISSN-L)
- 1550-6606
- OpenAlex
- W2611428787
- Cited by
- 871
- References
- 6
- FWCI
- 67.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infection. https://app.cochat.ai/papers/10.4049/jimmunol.1601896
- The paper
- Channappanavar, R., Fett, C., Mack, M., Ten Eyck, P. P., Meyerholz, D. K., & Perlman, S. (2017). Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infection. The Journal of Immunology. https://doi.org/10.4049/jimmunol.1601896
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.