In order to determine the changes of bacterial community structure and function in the early, middle and late stage of aerobic composting of chicken manure, high-throughput sequencing and bioinformatics methods were used to determine and analyze the 16S rRNA sequence of samples at different stages of composting. Wayne analysis showed that most of the bacterial OTUs in the three composting stages were the same, and only about 10% of the operational taxonomic units (OTUs) showed stage specificity. The diversity indexes including Ace, Chao1 and Simpson showed a trend of increasing at first, followed by decreasing. However, there was no significant difference among different composting stages (P < 0.05). The dominant bacteria groups in three composting stages were analyzed at the phylum and genus levels. The dominant bacteria phyla at three composting stages were the same, but the abundances were different. LEfSe (line discriminant analysis (LDA) effect size) method was used to analyze the bacterial biological markers with statistical differences among three stages of composting. From the phylum to genus level, there were 49 markers with significant differences among different groups. The markers included 12 species, 13 genera, 12 families, 8 orders, 1 boundary, and 1 phylum. The most biomarkers were detected at early stage while the least biomarkers were detected at late stage. The microbial diversity was analyzed at the functional pathway level. The function diversity was the highest in the early stage of composting. Following the composting, the microbial function was enriched relatively while the diversity decreased. This study provides theoretical support and technical guidance for the regulation of livestock manure aerobic composting process.
Animals ; Manure/microbiology* ; Chickens/genetics* ; Composting ; RNA, Ribosomal, 16S/genetics* ; Soil ; Bacteria/genetics*

Objective: To investigate the difference of clinical characteristics of recurrent spontaneous abortion (RSA) in patients with losses after spontaneous gestation and after in vitro fertilization and embryo transfer ( IVFET) ． Methods : 237 patients diagnosed with RSA were divided into spontaneous gestation group ( n = 185) and IVF group (n = 52) according to their previous modes of fertilization．The clinical characteristics of the two groups were analyzed. Results: Compared with the spontaneous gestation group，the age of the first pregnancy and the age at the time of RSA in the IVF group were statistically greater than those in the natural pregnancy group ( P < 0. 05 ) ．The number of biochemical pregnancies in IVF group was statistically higher than that in spontaneous gestation group，and the number of spontaneous abortions in IVF group was statistically lower than that in spontaneous gestation group (P＜0. 001) ．The proportion of patients with irregular menstruation in IVF group was statistically higher than that in spontaneous gestation group ( P ＜ 0. 05 ) ． The serum activated partial prothrombin time (APTT) ，R , K，high density lipoprotein cholesterol (HDL-C) ，thyrotropin (TSH) and homocysteine ( HCY) in IVF group were statistically lower than those in spontaneous gestation group，and the Angel，Ma，low density lipoprotein cholesterol (LDL-C) and body mass index (BMI) in IVF group were statistically higher than those in spontaneous gestation group (P＜0. 05) ．In the comparison of etiological composition between the two groups，the proportion of anatomical factors in IVF group was statistically higher than that in spontaneous gestation group (P < 0. 05) ． Conclusion The abortion risk factors in RSA patients after IVF-ET is more serious than that in RSA patients after natural pregnancy．It is suggested to further improve and implement the pre-pregnancy examination and education of infertile patients during IVF-ET treatment，so as to reduce the risk of RSA and obtain a better pregnancy outcome.

Objective : To analyze the metabolism of blood glucose，blood lipid and insulin in patients with recur- rent pregnancy loss (RPL) ，and to compare the predictive efficacy of triglyceride glycemic index (TyG) ，triglycer- ide glycemic body mass index (TyG-BMI) and homeostatic model assessment of insulin resistance( HOMA-IR) for RPL． Methods : A total of 573 patients with RPL were selected as the RPL group，and 652 women who received as- sisted reproductive technology for male infertility were selected as the control group．The general data of the two groups were retrospectively analyzed．The levels of body mass index(BMI) ，fasting blood glucose (FPG) ，fasting triglyceride (FTG) ，fasting insulin ( FINS) ，TyG index，TyG-BMI index and HOMA-IR were compared between the two groups．Spearman correlation analysis was used to verify the correlation between TyG index，TyG-BMI in- dex and HOMA-IR. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of TyG index，TyG-BMI index and HOMA-IR for RPL occurrence，and the optimal predictive cut-off point was calculated. Results : The BMI，FPG，FTG，TyG index，TyG-BMI index and HOMA-IR in the RPL group were significantly higher than those in the control group (P＜0. 05) ．TyG index and TyG-BMI index were positively correlated with HOMA-IR , and the correlation coefficients were 0. 442 and 0. 505，respectively (P＜0. 001) . ROC curve a- nalysis showed that the area under the curve of TyG-BMI index predicting RPL was 0. 579 (95% CI : 0. 551 - 0. 607，P＜0. 001) ，which was greater than that of TyG index of 0. 557 (95% CI : 0. 529－0. 585，P＜0. 001) and HOMA-IR of 0. 535 (95% CI : 0. 507 －0. 563，P ＜0. 05) ，among which the difference between TyG-BMI index and HOMA-IR index area under the curve was statistically significant (P ＜0. 05 ) ．The optimal cut-off points of TyG-BMI index ，TyG index and HOMA-IR for predicting RPL were 172. 3 ( sensitivity 75. 7% ，specificity 37. 06% ) ，8. 32 ( sensitivity 59. 44% ， specificity 51. 61% ) and 3. 58 ( sensitivity 25. 87% ， specificity 81. 62% ) ，respectively． Conclusion The incidence of overweight，abnormal blood glucose，lipid and insulin me- tabolism in RPL patients is higher than that in normal women．TyG index and TyG-BMI index can be used as indi- cators of insulin metabolic status in RPL population besides HOMA-IR , and TyG-BMI index has a higher efficacy in predicting the occurrence of RPL compared to HOMA-IR.