Identifying stably expressed housekeeping genes in the endometrium of fertile women, women with recurrent implantation failure and recurrent miscarriages

Gene expression associated with vaginal bleeding in women using the 52-mg levonorgestrel hormonal intrauterine device: A prospective study

OBJECTIVE

To evaluate gene expression associated with vaginal bleeding in the 52-mg hormonal intrauterine device (IUD) users.

MATERIALS AND METHODS

We conducted a prospective study involving 100 women seeking to use the 52-mg hormonal IUD for contraception. We excluded women with a history or current condition of abnormal uterine bleeding and who were unable to attend a 1-year follow up. Women who expelled the device, removed it for reasons unrelated to vaginal bleeding, or were lost to follow up were discontinued. We collected endometrial biopsies immediately before IUD placement and assessed 20 selected genes using reverse transcription quantitative polymerase chain reaction. Users maintained a uterine bleeding diary for 12 months following IUD insertion. For statistical analysis, participants were categorized into groups with or without vaginal bleeding at 3 and 12 months.

RESULTS

Women with elevated CXCL9 expression had an 8.15-fold higher likelihood of experiencing vaginal bleeding at 3 months (odds ratio [OR] 8.15, 95% confidence interval [CI] 2.24-29.61, P = 0.001). At 12 months of follow up, women with increased TIMP1 expression had a 2.74-fold higher chance of experiencing vaginal bleeding (OR 2.74, 95% CI 1.08-6.95, P = 0.033). CXCL9 ≥ 1.5 and IL17A ≥ 0.68 were associated with a higher probability of vaginal bleeding at 3 months, while TIMP1 levels ≥0.943 were linked to an increased risk of bleeding at 12 months.

CONCLUSION

Users of the 52-mg hormonal IUD with elevated relative CXCL9 expression face an increased risk of vaginal bleeding at 3-month follow up, whereas those with heightened TIMP1 expression are more likely to experience vaginal bleeding at 12 months.

Gene expression associated with unfavorable vaginal bleeding in women using the etonogestrel subdermal contraceptive implant: a prospective study

To evaluate gene expression associated with unfavorable vaginal bleeding in users of the Etonogestrel (ENG) contraceptive implant. Prospective study involving 100 women who intended to use the ENG implant. Exclusion criteria included abnormal uterine bleeding, inability to attend a 1-year follow-up, and implant removal for reasons unrelated to vaginal bleeding or loss of follow-up. We obtained endometrial biopsies before implant placement and assessed the expression of 20 selected genes. Users maintained a uterine bleeding diary for 12 months post-implant placement. For statistical analysis, we categorized women into those with or without favorable vaginal bleeding at 3 and 12 months. Women with lower CXCL1 expression had a 6.8-fold increased risk of unfavorable vaginal bleeding at 3 months (OR 6.8, 95% CI 2.21-20.79, p < 0.001), while those with higher BCL6 and BMP6 expression had 6- and 5.1-fold increased risks, respectively. By the 12-month follow-up, women with lower CXCL1 expression had a 5.37-fold increased risk of unfavorable vaginal bleeding (OR 5.37, 95% CI 1.63-17.73, p = 0.006). Women with CXCL1 expression < 0.0675, BCL6 > 0.65, and BMP6 > 3.4 had a higher likelihood of experiencing unfavorable vaginal bleeding at 3 months, and CXCL1 < 0.158 at 12 months. Users of ENG contraceptive implants with elevated BCL6 and BMP6 expression exhibited a higher risk of breakthrough bleeding at the 3-month follow-up. Conversely, reduced CXCL1 expression was associated with an elevated risk of bleeding at both the 3 and 12-month follow-ups.

Transcriptomic Analysis Reveals Intrinsic Abnormalities in Endometrial Polyps

Endometrial polyps (EPs) are benign overgrowths of the endometrial tissue lining the uterus, often causing abnormal bleeding or infertility. This study analyzed gene expression differences between EPs and adjacent endometrial tissue to elucidate intrinsic abnormalities promoting pathological overgrowth. RNA sequencing of 12 pairs of EPs and the surrounding endometrial tissue from infertile women revealed 322 differentially expressed genes. Protein-protein interaction network analysis revealed significant alterations in specific signaling pathways, notably Wnt signaling and vascular smooth muscle regulation, suggesting these pathways play critical roles in the pathophysiology of EPs. Wnt-related genes DKK1 and DKKL1 were upregulated, while GPC3, GREM1, RSPO3, SFRP5, and WNT10B were downregulated. Relevant genes for vascular smooth muscle contraction were nearly all downregulated in EPs, including ACTA2, ACTG2, KCNMB1, KCNMB2, MYL9, PPP1R12B, and TAGLN. Overall, the results indicate fundamental gene expression changes promote EP formation through unrestrained growth signaling and vascular defects. The intrinsic signaling abnormalities likely contribute to clinical symptoms of abnormal uterine bleeding and infertility common in EP patients. This analysis provides molecular insights into abnormal endometrial overgrowth to guide improved diagnostic and therapeutic approaches for this troublesome women's health condition. Confirmation of expanded cohorts and further investigations into implicated regulatory relationships are warranted.

Identifying and optimizing human endometrial gene expression signatures for endometrial dating

STUDY QUESTION

What are the key considerations for developing an enhanced transcriptomic method for secretory endometrial tissue dating?

SUMMARY ANSWER

Multiple gene expression signature combinations can serve as biomarkers for endometrial dating, but their predictive performance is variable and depends on the number and identity of the genes included in the prediction model, the dataset characteristics and the technology employed for measuring gene expression.

WHAT IS KNOWN ALREADY

Among the new generation of transcriptomic endometrial dating (TED) tools developed in the last decade, there exists variation in the technology used for measuring gene expression, the gene makeup and the prediction model design. A detailed study, comparing prediction performance across signatures for understanding signature behaviour and discrepancies in gene content between them, is lacking.

STUDY DESIGN, SIZE, DURATION

A multicentre prospective study was performed between July 2018 and October 2020 at five different centres from the same group of clinics (Spain). This study recruited 281 patients and finally included in the gene expression analysis 225 Caucasian patients who underwent IVF treatment. After preprocessing and batch effect filtering, gene expression measurements from 217 patients were combined with artificial intelligence algorithms (support vector machine, random forest and k-nearest neighbours) allowing evaluation of different prediction models. In addition, secretory-phase endometrial transcriptomes from gene expression omnibus (GEO) datasets were analysed for 137 women, to study the endometrial dating capacity of genes independently and grouped by signatures. This provided data on the consistency of prediction across different gene expression technologies and datasets.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Endometrial biopsies were analysed using a targeted TruSeq (Illumina) custom RNA expression panel called the endometrial dating panel (ED panel). This panel included 301 genes previously considered relevant for endometrial dating as well as new genes selected for their anticipated value in detecting the secretory phase. Final samples (n = 217) were divided into a training set for signature discovery and an independent testing set for evaluation of predictive performance of the new signature. In addition, secretory-phase endometrial transcriptomes from GEO were analysed for 137 women to study endometrial dating capacity of genes independently and grouped by signatures. Predictive performance among these signatures was compared according to signature gene set size.

MAIN RESULTS AND THE ROLE OF CHANCE

Testing of the ED panel allowed development of a model based on a new signature of 73 genes, which we termed 'TED' and delivers an enhanced tool for the consistent dating of the secretory phase progression, especially during the mid-secretory endometrium (3-8 days after progesterone (P) administration (P + 3-P + 8) in a hormone replacement therapy cycle). This new model showed the best predictive capacity in an independent test set for staging the endometrial tissue in the secretory phase, especially in the expected window of implantation (average of 114.5 ± 7.2 h of progesterone administered; range in our patient population of 82-172 h). Published sets of genes, in current use for endometrial dating and the new TED genes, were evaluated in parallel in whole-transcriptome datasets and in the ED panel dataset. TED signature performance was consistently excellent for all datasets assessed, frequently outperforming previously published sets of genes with a smaller number of genes for dating the endometrium in the secretory phase. Thus, this optimized set exhibited prediction consistency across datasets.

LARGE SCALE DATA

The data used in this study is partially available at GEO database. GEO identifiers GSE4888, GSE29981, GSE58144, GSE98386.

LIMITATIONS, REASONS FOR CAUTION

Although dating the endometrial biopsy is crucial for investigating endometrial progression and the receptivity process, further studies are needed to confirm whether or not endometrial dating methods in general are clinically useful and to guide the specific use of TED in the clinical setting.

WIDER IMPLICATIONS OF THE FINDINGS

Multiple gene signature combinations provide adequate endometrial dating, but their predictive performance depends on the identity of the genes included, the gene expression platform, the algorithms used and dataset characteristics. TED is a next-generation endometrial assessment tool based on gene expression for accurate endometrial progression dating especially during the mid-secretory.

STUDY FUNDING/COMPETING INTEREST(S)

Research funded by IVI Foundation (1810-FIVI-066-PD). P.D.-G. visiting scientist fellowship at Oxford University (BEFPI/2010/032) and Josefa Maria Sanchez-Reyes' predoctoral fellowship (ACIF/2018/072) were supported by a program from the Generalitat Valenciana funded by the Spanish government. A.D.-P. is supported by the FPU/15/01398 predoctoral fellowship from the Ministry of Science, Innovation and Universities (Spanish Government). D.W. received support from the NIHR Oxford Biomedical Research Centre. The authors do not have any competing interests to declare.

SPARCL1 impedes trophoblast migration and invasion by down-regulating ERK phosphorylation and AP-1 production and altering EMT-related molecule expression

INTRODUCTION

Embryo implantation depends on trophoblast cells migration and invasion. Abnormal function of trophoblast cells could result in many pregnancy complications. Secreted protein acidic and rich in cysteine like-1 (SPARCL1) has been reported to inhibit cell migration and tumor invasion. This study aimed to explore the role of SPARCL1 in trophoblast functions.

METHODS

Villous specimens were obtained from 31 women with spontaneous abortion and 31 women with normal early pregnancy to determine the expression of SPARCL1. HTR8/SVneo cells and JAR cells were transfected with pIRES2-EGFP-SPARCL1 vectors and control vectors. The proliferation assay and scratch-wound assay were performed. Quantitative polymerase chain reaction (qPCR) and western blotting were performed to assess epithelial mesenchymal transition (EMT)-related molecules including MMP2, MMP3, N-cadherin, E-cadherin and vimentin. Extracellular signal-regulated kinase (ERK) phosphorylation activity and AP-1 expression in HTR8/SVneo cells following multi-scratching were detected using above assays.

RESULTS

The mRNA and protein levels of SPARCL1 were significantly higher in the abortion group than in the normal pregnancy group. After transfection, there was no difference of cell viability between the SPARCL1-overexpression group and control vector group. However, the migration distance and area were reduced and the abundances of EMT related molecules were changed by SPARCL1 overexpression when compared with controls. Lower ERK phosphorylation activity and decreased Fos and Jun expressions were noted at high level of SPARCL1.

CONCLUSION

Restrained migration and invasion were noted in trophoblast cells with SPARCL1 overexpression, which might affect embryo implantation and placenta development. It could be involved in the pathogenesis of spontaneous abortion.