Differential Gene Expression in Menstrual Endometrium From Women With Self-Reported Heavy Menstrual Bleeding

Heavy menstrual bleeding (HMB) is a significant social and public health issue for menstruating women. Development of targeted treatments has been limited by poor understanding of local mechanisms underlying HMB. We aimed to determine how gene expression differs in menstrual phase endometrium from women with HMB. Menstrual phase endometrial biopsies were collected from women with (n = 7) and without (n = 10) HMB (regular menstrual cycles, no known pelvic pathology), as well as women with uterine fibroids (n = 7, n = 4 had HMB). Biopsies were analyzed using Illumina Sentrix Human HT12 arrays and data analyzed using "Remove Unwanted Variation-inverse". Ingenuity Pathway Analysis and the Database for Annotation, Visualization and Integrated Discovery v6.7 were used to identify gene pathways, functional gene clusters, and upstream regulators specific to the clinical groupings. Individual genes of interest were examined using quantitative polymerase chain reaction. In total, 829 genes were differentially expressed in one or more comparisons. Significant canonical pathways and gene clusters enriched in controls relative to both HMB and fibroid groups suggest the mechanisms responsible for HMB include modifications of the endometrial inflammatory or infection response. In contrast, differentially expressed genes in women with fibroids suggest modifications of hemoglobin, antigen processing, and the major histocompatibility complex (class II, beta chain) activity. In conclusion, HMB associated with fibroids may be regulated by different endometrial mechanisms from HMB in women without fibroids and from normal menstrual bleeding. These novel data provide numerous testable hypotheses that will advance our understanding of the mechanisms responsible for HMB.

Identification of genes differentially expressed in menstrual breakdown and repair

STUDY QUESTION

Does the changing molecular profile of the endometrium during menstruation correlate with the histological profile of menstruation.

SUMMARY ANSWER

We identified several genes not previously associated with menstruation; on Day 2 of menstruation (early-menstruation), processes related to inflammation are predominantly up-regulated and on Day 4 (late-menstruation), the endometrium is predominantly repairing and regenerating.

WHAT IS KNOWN ALREADY

Menstruation is induced by progesterone withdrawal at the end of the menstrual cycle and involves endometrial tissue breakdown, regeneration and repair. Perturbations in the regulation of menstruation may result in menstrual disorders including abnormal uterine bleeding.

STUDY DESIGN, SIZE DURATION

Endometrial samples were collected by Pipelle biopsy on Days 2 (n = 9), 3 (n = 9) or 4 (n = 6) of menstruation.

PARTICIPANTS/MATERIALS, SETTING, METHODS

RNA was extracted from endometrial biopsies and analysed by genome wide expression Illumina Sentrix Human HT12 arrays. Data were analysed using 'Remove Unwanted Variation-inverse (RUV-inv)'. Ingenuity pathway analysis (IPA) and the Database for Annotation, Visualization and Integrated Discovery (DAVID) v6.7 were used to identify canonical pathways, upstream regulators and functional gene clusters enriched between Days 2, 3 and 4 of menstruation. Selected individual genes were validated by quantitative PCR.

MAIN RESULTS AND THE ROLE OF CHANCE

Overall, 1753 genes were differentially expressed in one or more comparisons. Significant canonical pathways, gene clusters and upstream regulators enriched during menstrual bleeding included those associated with immune cell trafficking, inflammation, cell cycle regulation, extracellular remodelling and the complement and coagulation cascade. We provide the first evidence for a role for glutathione-mediated detoxification (glutathione-S-transferase mu 1 and 2; GSTM1 and GSTM2) during menstruation. The largest number of differentially expressed genes was between Days 2 and 4 of menstruation (n = 1176). We identified several genes not previously associated with menstruation including lipopolysaccharide binding protein, serpin peptidase inhibitor, clade B (ovalbumin), member 3 (SERPINB3) and -4 (SERPINB4), interleukin-17C (IL17C), V-set domain containing T-cell activation inhibitor 1 (VTCN1), proliferating cell nuclear antigen factor (KIAA0101/PAF), trefoil factor 3 (TFF3), laminin alpha 2 (LAMA2) and serine peptidase inhibitor, Kazal type 1 (SPINK1). Genes related to inflammatory processes were up-regulated on Day 2 (early-menstruation), and those associated with endometrial repair and regeneration were up-regulated on Day 4 (late-menstruation).

LIMITATIONS, REASONS FOR CAUTION

Participants presented with a variety of endometrial pathologies related to bleeding status and other menstrual characteristics. These variations may also have influenced the menstrual process.

WIDER IMPLICATIONS OF THE FINDINGS

The temporal molecular profile of menstruation presented in this study identifies a number of genes not previously associated with the menstrual process. Our findings provide valuable insight into the menstrual process and may present novel targets for therapeutic intervention in cases of endometrial dysfunction.

LARGE SCALE DATA

All microarray data have been deposited in the public data repository Gene Expression Omnibus (GSE86003).

STUDY FUNDING AND COMPETING INTERESTS

Funding for this work was provided by a National Health and Medical Research Council of Australia (NHMRC) Project Grant APP1008553 to M.H., P.R. and J.G. M.H. is supported by an NHMRC Practitioner Fellowship. P.P. is supported by a NHMRC Early Career Fellowship. The authors have no conflict of interest to declare.

A comparison of methods for extracting DNA from Coxiella burnetii as measured by a duplex qPCR assay

AIMS

To determine the optimal DNA extraction method for the detection of Coxiella burnetii including the small-cell variant (SCV) by real-time PCR (qPCR) in clinical samples.

METHODS AND RESULTS

A duplex qPCR detecting two Coxiella burnetii gene targets (com1 and IS1111a genes) was developed. Each target in this PCR had a sensitivity of one copy number per reaction. DNA extraction methods were compared on spiked negative samples and included a silica column kit, a chloroform separation prior to a silica column method and a chloroform/phenol separation and DNA precipitation method.

CONCLUSIONS

The silica column extraction method was more efficient at recovering C. burnetii DNA, from large-cell and small-cell variants, than a chloroform or chloroform/phenol method. The silica column method was useful on spiked human samples including serum, buffy coat and bone marrow samples.

SIGNIFICANCE AND IMPACT OF STUDY

This study demonstrated that a simple column kit method is efficient to use for the detection of C. burnetii in clinical samples including the SCV.