Correlation Between Decreased Ovarian Reserve And Follicular Fluid Microecology

Objective: To study the correlation between ovarian reserve loss and follicular fluid microecology,to find biomarker species and metabolic pathways of microflora with decreased ovarian reserve,and to provide evidence-based evidence for the prevention and treatment of ovarian reserve decline.Methods: From February 2022 to August 2022,24 patients with ovarian reserve dysfunction were randomly selected as the experimental group for IVF in Hangzhou Obstetrics and Gynecology Hospital.Twenty-one patients undergoing IVF due to male infertility were used as the control group.16 Sr DNA sequencing was performed on follicular fluid samples to reveal the composition of microbial flora between the two groups,LEf Se and LDA were used to analyze the statistically different flora,and KEGG function was used to analyze the metabolic pathway with statistical difference.Results: 1.Compared with the composition of the flora of the experimental group and the control group,at the phylum level,the main microflora with statistical differences in the experimental group were Proteobacteria(96.62%),Firmicutes(2.2%);The main statistically different flora in the control group were Proteobacteria(76.47%),Firmicutes(16.43%),Bacteroidetes(Bacteroides 4.42%),and Epsilonbacteraeota(1.21%).At the genus level,the experimental group mainly had statistically different flora including Halomonas(57.89%),Acinetobacter(Acinetobacter 14.54%),Rhizobiaceae＿unclassified(10.37%),Achromobacter(5.89%).The main flora in the control group were Halomonas(50.02%),Rhizobiaceae＿unclassified(11.06%),Lachnospiraceae＿NK4A136＿group(2.95%),Acinetobacter(5.86%)and other bacteria.2.Evaluate the richness and diversity of the flora,using Shannon?Inv Simpson?Simpson?Sobs?ACE?Chao for evaluation,the difference in Sobs index between the two groups was not statistically significant,and there were statistical differences in the other indexes,and the Chao,Shannon,and Invsimpson indices of the control group were greater than the corresponding indices of the experimental group.The Simpson index is smaller than that of the experimental group.3.A differential bacterium was used as a predictor to develop the ROC curve,in which the area under the Serratia curve was 0.727,suggesting that the bacterial community was helpful in predicting the occurrence of ovarian reserve.LEf Se and LDA were used to analyze the significantly different flora and found that Pluralibacter?Enterobacteriaceae?Serratia?and Bacillales in the experimental group had significant differences,which could be used as their biomarker species.The control group had significant differences in Cronobacter?Aquabacterium?Azohydromonas?Helicobacter?Campylobacteria and Epsilonbacteraeota,which could be used as their biomarker species.4.Using KEGG function analysis,it was concluded that at the KEGG Level 3level,there were seven pathways with differences between the two groups,of which the Peroxisome metabolic pathway was relatively abundant in the experimental groupConclusions:1.Female follicular fluid is not sterile,and there are microflora in it.DOR is correlated with follicular fluid microecology to a certain extent,and the causal relationship needs to be further studied.2.In this study,16 Sr DNA gene sequencing and functional analysis were adopted,suggesting that the change of follicular fluid microecology is involved in the pathophysiological process of DOR,and excessive reactive oxygen species may be produced through the increase of catalase pathway,leading to oocyte death and thus the occurrence of DOR.3.Serratia(Serratia)was found to be statistically different in female follicular fluid of DOR,and the area of Serratia under ROC curve was 0.727,suggesting that this flora was helpful to predict the occurrence of this disease.