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. 2021 Mar 9;2(1):L9-L11.
doi: 10.1530/RAF-20-0069. eCollection 2021 Jan.

Chlamydia inhibits progesterone receptor mRNA expression in SHT-290 cells

Affiliations

Chlamydia inhibits progesterone receptor mRNA expression in SHT-290 cells

Megan Brown et al. Reprod Fertil. .

Abstract

Chlamydia trachomatis is the most commonly diagnosed sexually transmitted infection in the UK, with over 200,000 positive diagnoses annually. The infection is thought to cause reproductive complications including problems in conceiving a pregnancy through to miscarriage and early or stillbirth. One potential reason Chlamydia may impact upon pregnancy is through disrupting the embryo implantation at the earliest stages of pregnancy is by altering the ability of specific cells that line the uterus called stromal cells to respond to the hormone progesterone, the hormone responsible for preparing the uterus for pregnancy. The results of this study showed that Chlamydial infection of these uterus lining stromal cells decreased the levels of specific progesterone sensitive markers which are associated with early embryo implantation, suggesting a loss of responsiveness to progesterone treatment. These changes were accompanied by a decrease in the levels of RNA for the progesterone receptor which is responsible for progesterone activity, suggesting that this is a potential mechanism through which Chlamydia could directly inhibit the effects of progesterone on uterine cells.

Keywords: Chlamydia; decidualisation; progesterone; stromal cell.

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Conflict of interest statement

Nick Wheelhouse is an Associate Editor of Reproduction and Fertility. Nick Wheelhouse was not involved in the review or editorial process for this paper, on which he is listed as an author.

Figures

Figure 1
Figure 1
Changes in the expression of (A) Prolactin, (B) IGFBP-1, (C) MAOA, (D) SPP-1, (E) Progesterone receptor, (F) hCOX2, (G) CYP17A1, (H) AKR1C3 after exposure of decidualised (Dec) SHT-290 cells to medium alone (Uninfected) or Ct MOI 0.1, 1 for 48 h. Statistically-significant differences between control and infected cells are indicated by *P < 0.05. Data were analysed by one-way ANOVA. Comparisons between individual treatments were made using Tukey’s multiple comparison test.

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