Bioinformatics evaluation of miRNAs involved in premature ovarian failure (POF)

Premature ovarian failure (POF) is one of the most important reproductive diseases in women under 40 years of age, which affects the quality of life and longevity of these people by causing short-term and long-term complications.
The incidence of POF is a chronic process that takes several years to develop. The patient went through stages such as premature ovarian insufficiency (POI) and decreased ovarian reserve (DOR), in the early stages of the disease decreased ovarian function efficiency (POI) and then with further progression of the disease, the patient decreased ovarian reserve and further reduce their performance. As the disease progresses, the person eventually develops premature and complete ovarian failure, or POF studies have shown that many factors, including surgical trauma, autoimmune diseases, certain drugs, vaccines, and genetic factors, play a role. Genetic studies have shown that several genes are involved in the development of this disease. Part of the regulation of the expression of these genes is the responsibility of small genetic factors called miRNAs.

In the present study, bioinformatics information of miRNAs involved in this disease was investigated. For this purpose, genetic databases such as UCSC, NCBI, KEGG, MIRBASE, TARGET SCAN, STRING, etc. were used to access the genes involved in this disease, structural and functional communication, messaging pathways and regulatory miRNA.
Results and

The results of this study indicate that three factors, miRNA-187, miRNA-33b and miRNA-33a, are very effective in the development and progression of this disease.