ORIGINAL ARTICLE: Quantification and Comparison of Toll-Like Receptor Expression and Responsiveness in Primary and Immortalized Human Female Lower Genital Tract Epithelia
Article first published online: 13 JAN 2008
© 2008 The Authors
American Journal of Reproductive Immunology
Volume 59, Issue 3, pages 212–224, March 2008
How to Cite
Herbst-Kralovetz, M. M., Quayle, A. J., Ficarra, M., Greene, S., Rose, W. A., Chesson, R., Spagnuolo, R. A. and Pyles, R. B. (2008), ORIGINAL ARTICLE: Quantification and Comparison of Toll-Like Receptor Expression and Responsiveness in Primary and Immortalized Human Female Lower Genital Tract Epithelia. American Journal of Reproductive Immunology, 59: 212–224. doi: 10.1111/j.1600-0897.2007.00566.x
- Issue published online: 10 FEB 2008
- Article first published online: 13 JAN 2008
- Submitted August 24, 2007; accepted November 7, 2007.
- Genital mucosa;
- innate immunity;
- TLR agonists;
- TLR expression;
- vaginal and cervical epithelia
To better understand innate immune responses to sexually-transmitted infection (STI) and the appropriateness of epithelial cell (EC) models of the vaginal and cervical mucosa, quantified toll-like receptor (TLR) expression from a population of women is needed.
Method of study
TLR gene expression was quantified in primary and immortalized endocervical, ectocervical, and vaginal EC from multiple donors. TLR bioactivity was evaluated by cytokine elaboration.
TLR1–3 and 5–9 were expressed in each EC type with TLR2, 3, 5, 6 and CD14 expressed most abundantly. TLR4 was expressed by endocervical and vaginal EC. Agonist stimulation of TLR2, 3, 5 and 6 elicited cytokines. TLR4 and 7–9 were minimally expressed and were not consistently bioactive. Immortalized EC generally modeled primary cultures but elaborated significantly reduced cytokine levels.
TLR expression patterns were remarkably conserved across the study population and evaluated tissues indicating a predictable responsiveness to STI. The results support cautious use of immortalized cells for genital tract modeling.