Periodic Reporting for period 1 - HOST-SELECT (Functional Analysis of Host Genetic Variants: Biomarker Selection Towards Improving Female Subfertility Diagnosis and Treatment)
Periodo di rendicontazione: 2017-07-01 al 2019-06-30
Fertility issues affect roughly 15% of couples attempting to conceive, hence they represent a significant public health concern. The prevalence of fertility issues is expected to increase, partly due to the rising rates of CT infections. Researchers have shown that, following a genital CT infection, women carrying particular gene variants (single nucleotide polymorphisms; SNPs) have a higher risk of developing these complications, compared to those women that have not inherited these variants. How these differences in risk are driven by SNPs is not sufficiently understood.
Identifying key genetic factors in tubal pathologies and understanding how they contribute to these conditions would potentially advance screening and therapy of individuals suffering from these issues. We have therefore a) set out to determine which key genes and their variants play a role in CT-caused tubal pathology and b) tested the effect of these variants in a 3D organoid model of a human Fallopian tube – currently the most advanced research model for tubal infection. As a personal goal, an additional purpose of the proposal was to obtain specific skills and expertise in techniques, among others cultivation of tubal 3D organoids from cells obtained from patients, their application in SNP studies of CT infection and genetic manipulation in these organoids.
Secondly, we conducted a comparison of our earlier research findings on CT-caused tubal pathology with the host group’s data in order to seek most promising and most reliable gene and SNP candidates. The key strength of our previous findings is the fact that they were obtained by studying 2500 samples from female patients diagnosed with CT infection and/or tubal pathology. Thanks to the opportunity to collaborate with the host group, we were able to compare our data with their analyses of the activity of genes in the infected tubal organoid model. As a result, we produced a list of 15 gene variants (within 12 genes) that we wanted to continue focusing on in our project.
Our main emphasis was on a gene for a particular chemical signal molecule secreted in the tube, particularly in the presence of an ongoing tubal CT infection. We tested the effect of SNPs from several different genes known to interact with this factor. Based on our findings, we were able to conclude that the production of the factor in our CT-infected organoid model depends on the presence or absence of individual studied SNPs. We detected that its production is higher if a particular SNP variant is present in at least one gene copy. Furthermore, we observed that active acute CT infection alters the presence of several proteins on the inner surface of the Fallopian tube. These observations suggest that CT infection may likely change the inflammatory conditions in the Fallopian tube and promote tubal pathology, depending on a woman’s genetic profile.
Finally, knowledge and skills gathered in this project are to be used in developing new modified study models for tubal complications. Experience from building our model can be applied in the process of developing models of other organs, or models for studying other infections.
Additionally, knowledge and skills gathered in this project provide an insight into new applications of 3D organoids as models for studying tubal infections and ensuing complications. Organoids – developed from isolated patient cells into tissue-like structures so as to optimally simulate living conditions – are being increasingly used in the biomedical field and are advancing research opportunities beyond animal models and Petri dish cell lines. Experience from building and utilising our model can be applied by researchers and clinicians in the process of developing organoid models of other organs, or models for studying other infections.