The DOI matches its Crossref record; 182 of the 182 references it cites were found in a registry or an index.
Sexual Dimorphism in Innate Immunity: The Role of Sex Hormones and Epigenetics
Open accessAbstract
Sexual dimorphism refers to differences between biological sexes that extend beyond sexual characteristics. In humans, sexual dimorphism in the immune response has been well demonstrated, with females exhibiting lower infection rates than males for a variety of bacterial, viral, and parasitic pathogens. There is also a substantially increased incidence of autoimmune disease in females compared to males. Together, these trends indicate that females have a heightened immune reactogenicity to both self and non-self-molecular patterns. However, the molecular mechanisms driving the sexually dimorphic immune response are not fully understood. The female sex hormones estrogen and progesterone, as well as the male androgens, such as testosterone, elicit direct effects on the function and inflammatory capacity of immune cells. Several studies have identified a sex-specific transcriptome and methylome, independent of the well-described phenomenon of X-chromosome inactivation, suggesting that sexual dimorphism also occurs at the epigenetic level. Moreover, distinct alterations to the transcriptome and epigenetic landscape occur in synchrony with periods of hormonal change, such as puberty, pregnancy, menopause, and exogenous hormone therapy. These changes are also mirrored by changes in immune cell function. This review will outline the evidence for sex hormones and pregnancy-associated hormones as drivers of epigenetic change, and how this may contribute to the sexual dimorphism. Determining the effects of sex hormones on innate immune function is important for understanding sexually dimorphic autoimmune diseases, sex-specific responses to pathogens and vaccines, and how innate immunity is altered during periods of hormonal change (endogenous or exogenous).
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
NF-κB signaling in inflammation
Liu, T., Zhang, L., Joo, D., & Sun, S.-C. (2017) · Signal Transduction and Targeted Therapy · doi:10.1038/sigtrans.2017.23 · Cited by 8,791
Factors associated with COVID-19-related death using OpenSAFELY
Williamson, E. J., Walker, A. J., Bhaskaran, K., Bacon, S., Bates, C., Morton, C. E., Curtis, H. J., Mehrkar, A., Evans, D., Inglesby, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2521-4 · Cited by 6,674
Inflammaging: a new immune–metabolic viewpoint for age-related diseases
Franceschi, C., Garagnani, P., Parini, P., Giuliani, C., & Santoro, A. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0059-4 · Cited by 3,586
Bird, A. (2007) · Nature · doi:10.1038/nature05913 · Cited by 3,011
Trained immunity: A program of innate immune memory in health and– disease
Netea, M. G., Joosten, L. A. B., Latz, E., Mills, K. H. G., Natoli, G., Stunnenberg, H. G., O’Neill, L. A. J., & Xavier, R. J. (2016) · Science · doi:10.1126/science.aaf1098 · Cited by 2,768
Defining trained immunity and its role in health and disease
Netea, M. G., Domínguez-Andrés, J., Barreiro, L. B., Chavakis, T., Divangahi, M., Fuchs, E., Joosten, L. A. B., van der Meer, J. W. M., Mhlanga, M. M., Mulder, W. J. M., et al. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0285-6 · Cited by 2,690
Overview of the immune response
Chaplin, D. D. (2010) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2009.12.980 · Cited by 2,235
The complex role of estrogens in inflammation
Straub, R. H. (2007) · Endocrine Reviews · doi:10.1210/er.2007-0001 · Cited by 1,950
Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity
Saeed, S., Quintin, J., Kerstens, H. H. D., Rao, N. A., Aghajanirefah, A., Matarese, F., Cheng, S.-C., Ratter, J., Berentsen, K., van der Ent, M. A., et al. (2014) · Science · doi:10.1126/science.1251086 · Cited by 1,761
Kleinnijenhuis, J., Quintin, J., Preijers, F., Joosten, L. A. B., Ifrim, D. C., Saeed, S., Jacobs, C., van Loenhout, J., de Jong, D., Stunnenberg, H. G., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202870109 · Cited by 1,728 · cited 1×
“This phenomenon, termed Trained Immunity (TRIM), was originally identified in human monocytes in response to microbe exposures (6, 7), but has subsequently been associated with certain metabolites and danger signals (8–10).”
Background
Cited by
Sarcopenia and menopause: The role of estradiol
Geraci, A., Calvani, R., Ferri, E., Marzetti, E., Arosio, B., & Cesari, M. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.682012 · Cited by 238
Let’s talk about sex characteristics—as a risk factor for invasive fungal diseases.
Egger, M., Hoenigl, M., Thompson, G. R., Carvalho, A., & Jenks, J. D. (2022) · Mycoses · doi:10.1111/myc.13449 · Cited by 82
Sex and gender affect immune aging
Calabrò, A., Accardi, G., Aiello, A., Caruso, C., & Candore, G. (2023) · Frontiers in Aging · doi:10.3389/fragi.2023.1272118 · Cited by 71
RISING STARS: androgens and immune cell function
Ainslie, R. J., Simitsidellis, I., Kirkwood, P. M., & Gibson, D. A. (2024) · Journal of Endocrinology · doi:10.1530/joe-23-0398 · Cited by 48
Metadata
- Authors
- Shepherd, R., Cheung, A. S., Pang, K., Saffery, R., & Novakovic, B.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2021-01-21
- Volume
- 11
- Pages
- 604000-604000
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W3121554486
- Cited by
- 304
- References
- 182
- FWCI
- 24.17
- Type
- journal article
- Language
- en
- Open access
- gold
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: Sexual Dimorphism in Innate Immunity: The Role of Sex Hormones and Epigenetics. https://app.cochat.ai/papers/10.3389/fimmu.2020.604000
- The paper
- Shepherd, R., Cheung, A. S., Pang, K., Saffery, R., & Novakovic, B. (2021). Sexual Dimorphism in Innate Immunity: The Role of Sex Hormones and Epigenetics. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2020.604000
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.