The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination
Open accessAbstract
Significance: There are marked differences between the sexes in their immune response to infections and vaccination, with females often having significantly higher responses. However, the mechanisms underlying these differences are largely not understood. Using a systems immunology approach, we have identified a cluster of genes involved in lipid metabolism and likely modulated by testosterone that correlates with the higher antibody-neutralizing response to influenza vaccination observed in females. Moreover, males with the highest testosterone levels and expression of related gene signatures exhibited the lowest antibody responses to influenza vaccination. This study generates a number of hypotheses on the sex differences observed in the human immune system and their relationship to mechanisms involved in the antibody response to vaccination.
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Cites
Environmental epigenomics and disease susceptibility
Jirtle, R. L., & Skinner, M. K. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2045 · Cited by 2,492
Obesity and Metabolic Syndrome in Circadian Clock Mutant Mice
Turek, F. W., Joshu, C., Kohsaka, A., Lin, E., Ivanova, G., McDearmon, E., Laposky, A., Losee-Olson, S., Easton, A., Jensen, D. R., et al. (2005) · Science · doi:10.1126/science.1108750 · Cited by 2,485
JAKs and STATs in immunity, immunodeficiency, and cancer
O'Shea, J. J., Holland, S. M., & Staudt, L. M. (2013) · New England Journal of Medicine · doi:10.1056/nejmra1202117 · Cited by 927
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
Virus-specific CD4(+) memory-phenotype T cells are abundant in unexposed adults
Su, L. F., Kidd, B. A., Han, A., Kotzin, J. J., & Davis, M. M. (2013) · Immunity · doi:10.1016/j.immuni.2012.10.021 · Cited by 429
Self-citationCillóniz, C., Shinya, K., Peng, X., Korth, M. J., Proll, S. C., Aicher, L. D., Carter, V. S., Chang, J. H., Kobasa, D., Feldmann, F., et al. (2009) · PLoS Pathogens · doi:10.1371/journal.ppat.1000604 · Cited by 210
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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
Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admission
Peckham, H., de Gruijter, N. M., Raine, C., Radziszewska, A., Ciurtin, C., Wedderburn, L. R., Rosser, E. C., Webb, K., & Deakin, C. T. (2020) · Nature Communications · doi:10.1038/s41467-020-19741-6 · Cited by 1,503
Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences
Brodin, P., Jojic, V., Gao, T., Bhattacharya, S., Angel, C. J. L., Furman, D., Shen-Orr, S., Dekker, C. L., Swan, G. E., Butte, A. J., et al. (2015) · Cell · doi:10.1016/j.cell.2014.12.020 · Cited by 1,065
Self-citationFactors That Influence the Immune Response to Vaccination
Zimmermann, P., & Curtis, N. (2019) · Clinical Microbiology Reviews · doi:10.1128/cmr.00084-18 · Cited by 939
Brodin, P., & Davis, M. M. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2016.125 · Cited by 730
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Metadata
- Authors
- Furman, D., Hejblum, B. P., Simon, N., Jojic, V., Dekker, C. L., Thiébaut, R., Tibshirani, R. J., & Davis, M. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-12-23
- Volume
- 111
- Issue
- 2
- Pages
- 869-874
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2126339385
- Cited by
- 673
- References
- 6
- FWCI
- 21.19
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination. https://app.cochat.ai/papers/10.1073/pnas.1321060111
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- Furman, D., Hejblum, B. P., Simon, N., Jojic, V., Dekker, C. L., Thiébaut, R., Tibshirani, R. J., & Davis, M. M. (2014). Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1321060111
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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