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Cited by 238

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Innate and adaptive immunity at mucosal surfaces of the female reproductive tract: stratification and integration of immune protection against the transmission of sexually transmitted infections

Open access
Hickey, D.K., Patel, M.V., Fahey, J.V., Wira, C.R.·2011·Journal of Reproductive Immunology

Abstract

This review examines the multiple levels of pre-existing immunity in the upper and lower female reproductive tract. In addition, we highlight the need for further research of innate and adaptive immune protection of mucosal surfaces in the female reproductive tract. Innate mechanisms include the mucus lining, a tight epithelial barrier and the secretion of antimicrobial peptides and cytokines by epithelial and innate immune cells. Stimulation of the innate immune system also serves to bridge the adaptive arm resulting in the generation of pathogen-specific humoral and cell-mediated immunity. Less understood are the multiple components that act in a coordinated way to provide a network of ongoing protection. Innate and adaptive immunity in the human female reproductive tract are influenced by the stage of menstrual cycle and are directly regulated by the sex steroid hormones, progesterone and estradiol. Furthermore, the effect of hormones on immunity is mediated both directly on immune and epithelial cells and indirectly by stimulating growth factor secretion from stromal cells. The goal of this review is to focus on the diverse aspects of the innate and adaptive immune systems that contribute to a unique network of protection throughout the female reproductive tract.

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Crossref · 10.1016/j.jri.2011.01.005

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Metadata

Authors
Hickey, D. K., Patel, M. V., Fahey, J. V., & Wira, C. R.
Venue
Journal of Reproductive Immunology
Publisher
Elsevier BV
Published
2011-03
Volume
88
Issue
2
Pages
185-194
ISSN
0165-0378 (ISSN-L)
OpenAlex
W1541628524
Cited by
238
References
2
FWCI
17.79
Type
journal article
Language
en
Open access
green

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