Objective:To explore the sleep trajectory during pregnancy and its influencing factors in patients receiving assisted reproductive technology (ART) .Methods:Convenience sampling was used to select 1 249 patients with ART who underwent prenatal checkups at the International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University from May 2017 to January 2022 as study subjects. The patients' sleep quality was assessed using the Pittsburgh Sleep Quality Index at 12 to 14 weeks of gestation (T1), 22 to 24 weeks of gestation (T2), and 32 to 34 weeks of gestation (T3), respectively. The latent class growth model was applied to explore the trajectory of sleep during pregnancy in patients receiving ART, and multicategorical Logistic regression were used to analyze the factors influencing the trajectory of sleep.Results:A total of 1 249 questionnaires were distributed and 1 090 valid questionnaires were finally recovered, with a validity rate of 87.27% (1 090/1 249). There were three types of sleep trajectories during pregnancy in 1 090 patients receiving ART, including sleep improvement group (7.89%, 86/1 090), sleep deterioration group (7.43%, 81/1 090), and good sleep group (84.68%, 923/1 090). Multicategorical Logistic regression analysis showed that age, annual household income, aspirin use before embryo transfer, vomiting, secondhand smoke exposure, anxiety, and depression were influencing factors of the sleep trajectory in patients with ART ( P<0.05) . Conclusions:There are differences in sleep quality during pregnancy among patients with ART. Healthcare professionals can intervene based on the influencing factors to improve sleep quality during pregnancy.

Objective:To explore the sleep trajectory during pregnancy and its influencing factors in patients receiving assisted reproductive technology (ART) .Methods:Convenience sampling was used to select 1 249 patients with ART who underwent prenatal checkups at the International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University from May 2017 to January 2022 as study subjects. The patients' sleep quality was assessed using the Pittsburgh Sleep Quality Index at 12 to 14 weeks of gestation (T1), 22 to 24 weeks of gestation (T2), and 32 to 34 weeks of gestation (T3), respectively. The latent class growth model was applied to explore the trajectory of sleep during pregnancy in patients receiving ART, and multicategorical Logistic regression were used to analyze the factors influencing the trajectory of sleep.Results:A total of 1 249 questionnaires were distributed and 1 090 valid questionnaires were finally recovered, with a validity rate of 87.27% (1 090/1 249). There were three types of sleep trajectories during pregnancy in 1 090 patients receiving ART, including sleep improvement group (7.89%, 86/1 090), sleep deterioration group (7.43%, 81/1 090), and good sleep group (84.68%, 923/1 090). Multicategorical Logistic regression analysis showed that age, annual household income, aspirin use before embryo transfer, vomiting, secondhand smoke exposure, anxiety, and depression were influencing factors of the sleep trajectory in patients with ART ( P<0.05) . Conclusions:There are differences in sleep quality during pregnancy among patients with ART. Healthcare professionals can intervene based on the influencing factors to improve sleep quality during pregnancy.

Objective:To analyze the clinicopathological features of prostate cancers with BRCA2 pathogenic mutations, and the association between BRCA2 pathogenic mutation and clinicopathological characteristics. Patient survivals were also examined.Methods:Clinicopathological data of 249 prostate cancer patients who underwent genetic testing in West China Hospital of Sichuan University, Chengdu, China from June 2014 to August 2021 were collected. A retrospective analysis of histopathological morphology, clinicopathological characteristics, and patient survivals was conducted.Results:The genetic testing in the 249 prostate cancer patients showed a pathogenic mutation of DNA damage repair gene (DRG) in 73 cases (73/249, 29.3%), including 22 cases (8.8%) with BRCA2 pathogenic mutation and 51 cases with pathogenic mutations of other DRG. Among the 22 patients with BRCA2 pathogenic mutation, 14 patients (5.6%) harbored germline mutations and 8 patients (3.2%) somatic mutations. Their ages ranged from 48 to 91 years, with a median of 67 years. Seventeen patients (77.3%) had distant metastasis, including 16 cases with bone metastasis and 1 case with multiple metastases. Thirteen patients (59.1%) were castration-resistant prostate cancer. The histological type was mainly classical prostatic acinar adenocarcinoma, including 16 cases (72.7%) with intraductal carcinoma of the prostate (IDC-P). Six cases (27.3%) showed focal neuroendocrine differentiation. Perineural/vascular invasion and extraprostatic extension were seen in 11 cases (50.0%) and 8 cases (36.4%), respectively. The Gleason scores of 19 patients (86.4%) were≥8. IDC-P was more commonly found in patients with BRCA2 germline pathogenic mutation than those with BRCA2 somatic pathogenic mutation, other DRG pathogenic mutation or no-DRG pathogenic mutation ( P=0.002). With a total follow-up time of 189 months, the median overall survival (OS) was 132.3 months. Patients with DRG pathogenic mutation had shorter OS than those with no-DRG pathogenic mutation ( P=0.040). The OS of patients with BRCA2 germline pathogenic mutation did not significantly differ from that of patients with BRCA2 somatic pathogenic mutation, other DRG pathogenic mutation or no-DRG pathogenic mutation ( P=0.216). Conclusions:The presence of BRCA2 gene pathogenic mutation is common in the prostate cancers with high Gleason grade, advanced clinical stage, and castration resistance. IDC-P is more commonly noted in cases with BRCA2 germline pathogenic mutation than those without. Patients with DRG pathogenic mutation have shorter OS than those with no-DRG pathogenic mutation, but there is no significant association between BRCA2 pathogenic mutations and OS.

Objective:To investigate the causality between intestinal flora and hypertrophic scars (HS) of human.Methods:This study was a study based on two-sample Mendelian randomization (TSMR) analysis. The data on intestinal flora ( n=18 473) and HS ( n=208 248) of human were obtained from the genome-wide association study database. Genetically variable genes at five levels (phylum, class, order, family, and genus) of known intestinal flora, i.e., single nucleotide polymorphisms (SNPs), were extracted as instrumental variables for linkage disequilibrium (LD) analysis. Human genotype-phenotype association analysis was performed using PhenoScanner V2 database to exclude SNPs unrelated to HS in intestinal flora and analyze whether the selected SNPs were weak instrumental variables. The causal relationship between intestinal flora SNPs and HS was analyzed through four methods of TSMR analysis, namely inverse variance weighted (IVW), MR-Egger regression, weighted median, and weighted mode. Scatter plots of significant results from the four aforementioned analysis methods were plotted to analyze the correlation between intestinal flora SNPs and HS. Both IVW test and MR-Egger regression test were used to assess the heterogeneity of intestinal flora SNPs, MR-Egger regression test and MR-PRESSO outlier test were used to assess the horizontal multiplicity of intestinal flora SNPs, and leave-one-out sensitivity analysis was used to determine whether HS was caused by a single SNP in the intestinal flora. Reverse TSMR analyses were performed for HS SNPs and genus Intestinimonas or genus Ruminococcus2, respectively, to detect whether there was reverse causality between them. Results:A total of 196 known intestinal flora, belonging to 9 phyla, 16 classes, 20 orders, 32 families, and 119 genera, were obtained, and multiple SNPs were obtained from each flora as instrumental variables. LD analysis showed that the SNPs of the intestinal flora were consistent with the hypothesis that genetic variation was strongly associated with exposure factors, except for rs1000888, rs12566247, and rs994794. Human genotype-phenotype association analysis showed that none of the selected SNPs after LD analysis was excluded and there were no weak instrumental variables. IVW, MR-Egger regression, weighted median, and weighted mode of TSMR analysis showed that both genus Intestinimonas and genus Ruminococcus2 were causally associated with HS. Among them, forest plots of IVW and MR-Egger regression analyses also showed that 16 SNPs (the same SNPs number of this genus below) of genus Intestinimonas and 15 SNPs (the same SNPs number of this genus below) of genus Ruminococcus2 were protective factors for HS. Further, IVW analysis showed that genus Intestinimonas SNPs (with odds ratio of 0.62, 95% confidence interval of 0.41-0.93, P<0.05) and genus Ruminococcus2 SNPs (with odds ratio of 0.62, 95% confidence interval of 0.40-0.97, P<0.05) were negatively correlated with the risk of HS. Scatter plots showed that SNPs of genus Intestinimonas and genus Ruminococcus2 were protective factors of HS. Both IVW test and MR-Egger regression test showed that SNPs of genus Intestinimonas (with Q values of 5.73 and 5.76, respectively, P>0.05) and genus Ruminococcus2 (with Q values of 13.67 and 15.61, respectively, P>0.05) were not heterogeneous. MR-Egger regression test showed that the SNPs of genus Intestinimonas and genus Ruminococcus2 had no horizontal multiplicity (with intercepts of 0.01 and 0.06, respectively, P>0.05); MR-PRESSO outlier test showed that the SNPs of genus Intestinimonas and genus Ruminococcus2 had no horizontal multiplicity ( P>0.05). Leave-one-out sensitivity analysis showed that no single intestinal flora SNP drove the occurrence of HS. Reverse TSMR analysis showed no reverse causality between HS SNPs and genus Intestinimonas or genus Ruminococcus2 (with odds ratios of 1.01 and 0.99, respectively, 95% confidence intervals of 0.97-1.06 and 0.96-1.04, respectively, P>0.05). Conclusions:There is a causal relationship between intestinal flora and HS of human, in which genus Intestinimonas and genus Ruminococcus2 have a certain effect on inhibiting HS.

Objective To compare the performance of Lung Imaging Reporting and Date System (Lung-RADS)with National Lung Screening Trail (NLST)in pulmonary nodules screening.Methods 1 5 3 patients with pulmonary nodules were analyzed retro-spectively,including,baseline screening and after baseline screening.We compared the sensitivity,false-positive result rate,positive predictive value,and negative predictive value in two methods of screening.Results In baseline screening of all patients with pulmo-nary nodules,the sensitivity,false positive rate and positive predictive value and negative predictive value of Lung-RADS and NLST were 83.9%,13.2%,6.5%,99.7% and 92.5%,26.9%,3.8%,99.8% respectively.In after baseline screening,the sensitivity, false positive rate and positive predictive value and negative predictive value were 79.6%,5.5%,11.5%,99.8% and 93.5%,22.8%, 3.5%,99.9% respectively.Conclusion Lung-RADS classification can reduce the false positive rate in screening of pulmonary nod-ules,which reduced the screening of lower risk nodules.

To determine the ATPase activity of erythrocytic membrane and intraerythrocyticionic concentrations in 20 patients with chronic renal failure (CRF). Methods: Erythrocyte membrane AT-Pase activites were determined as described by Sha1ev, and erythrocyte Na+ and Ca2+ concentrations weredetected by atomic absorption spectrophotometry. Results: The Na+-K+-ATPase, Ca2 t -ATPase, Mg2+ATPase activities were significantly lower in CRF patients than in normal individuals (P