Objective:To investigate the potential causal relationships between gut microbiota composition and the risk of developing various subtypes of breast cancer by using bidirectional two-sample Mendelian randomization(MR).Methods:The research utilized genome-wide association studies(GWAS) data on gut microbiota from the MiBioGen database and GWAS data on breast cancer from the Breast Cancer Association Consortium (BCAC). In this MR study, inverse variance weighted (IVW), weighted median, MR Egger, and MR-PRESSO methods were used. Additionally, reverse MR and stratified analyses were conducted to assess reverse causality and the impact on different subtypes of breast cancer.Results:Adlercreutzia (IVW OR=0.92, 95% CI: 0.87-0.98, P=0.01) and Parabacteroides (IVW OR=0.87, 95% CI: 0.79-0.96, P=0.007) exhibited a statistically significant protective effect on breast cancer. Conversely, Sellimonas (IVW OR=1.05, 95% CI: 1.01-1.09, P=0.01) was significantly associated with an increased risk of breast cancer. Desulfovibrio (IVW OR=0.94, 95% CI: 0.88-1.00, P=0.04) and Ruminococcaceae (UCG013) (IVW OR=0.92, 95% CI: 0.86-0.99, P=0.03) presented suggestive protective effects against breast cancer. Furthermore, stratified analysis revealed that the protective effect of Adlercreutzia against breast cancer persisted in the estrogen receptor(ER)-positive subtypes, while Desulfovibrio persisted in the ER-negative subtypes. Sellimonas was causally associated with the risk of ER-positive subtypes. CACNA1S was identified as the functional gene of Adlercreutzia, and associated with favorable prognosis in breast cancer, while ERBB4 was identified as the functional gene of Sellimonas and associated with poor prognosis in breast cancer. Conclusions:This study identifies the causal relationships between gut microbiota and breast cancer, suggesting a novel target for early clinical intervention and treatment, with potential implications for future functional analysis.

Objective To investigate the effect of triglyceride-glucose index(TyG)on the short-term prognosis of patients with initial acute ischemic stroke.Methods A total of 391 patients with initial acute ischemic stroke who were hospitalized in Kunshan Second People's Hospital and The Affiliated Suzhou Hospital of Nanjing Medical University from Jun.2020 to Jun.2023 were retrospectively included.According to the modified Rankin scale(mRS)scores at 90 d follow-up,they were assigned to good prognosis group(286 cases)or poor prognosis group(105 cases).Logistic regression and receiver operating characteristic(ROC)curve were used to evaluate the effect of TyG on the short-term prognosis of patients with initial acute ischemic stroke.Results Compared with the good prognosis group,the patients of poor prognosis group had older age,higher proportion of atrial fibrillation,higher levels of homocysteine,triglyceride,total cholesterol,low-density lipoprotein,and TyG,and higher National Institutes of Health stroke scale(NIHSS)score(all P＜0.05).Multivariate logistic regression analysis showed that age,homocysteine,TyG and NIHSS score were independent risk factors for poor prognosis in patients with initial acute ischemic stroke(all P＜0.05).ROC curve analysis showed that TyG combined with NIHSS score had good predictive value for poor prognosis of patients with initial acute ischemic stroke,and the area under curve value was 0.795.Conclusion The combination of TyG and NIHSS score is an independent influencing factor for poor short-term prognosis in patients with initial acute ischemic stroke.

Objective:To investigate the potential causal relationships between gut microbiota composition and the risk of developing various subtypes of breast cancer by using bidirectional two-sample Mendelian randomization(MR).Methods:The research utilized genome-wide association studies(GWAS) data on gut microbiota from the MiBioGen database and GWAS data on breast cancer from the Breast Cancer Association Consortium (BCAC). In this MR study, inverse variance weighted (IVW), weighted median, MR Egger, and MR-PRESSO methods were used. Additionally, reverse MR and stratified analyses were conducted to assess reverse causality and the impact on different subtypes of breast cancer.Results:Adlercreutzia (IVW OR=0.92, 95% CI: 0.87-0.98, P=0.01) and Parabacteroides (IVW OR=0.87, 95% CI: 0.79-0.96, P=0.007) exhibited a statistically significant protective effect on breast cancer. Conversely, Sellimonas (IVW OR=1.05, 95% CI: 1.01-1.09, P=0.01) was significantly associated with an increased risk of breast cancer. Desulfovibrio (IVW OR=0.94, 95% CI: 0.88-1.00, P=0.04) and Ruminococcaceae (UCG013) (IVW OR=0.92, 95% CI: 0.86-0.99, P=0.03) presented suggestive protective effects against breast cancer. Furthermore, stratified analysis revealed that the protective effect of Adlercreutzia against breast cancer persisted in the estrogen receptor(ER)-positive subtypes, while Desulfovibrio persisted in the ER-negative subtypes. Sellimonas was causally associated with the risk of ER-positive subtypes. CACNA1S was identified as the functional gene of Adlercreutzia, and associated with favorable prognosis in breast cancer, while ERBB4 was identified as the functional gene of Sellimonas and associated with poor prognosis in breast cancer. Conclusions:This study identifies the causal relationships between gut microbiota and breast cancer, suggesting a novel target for early clinical intervention and treatment, with potential implications for future functional analysis.

Objective To investigate the related influencing factors of seizures in early pregnancy.Methods Patients with epilepsy and pregnancy in Suzhou Hospital Affiliated to Nanjing Medical University from July 2019 to July 2023 were retrospectively enrolled and divided into epileptic group(n=35)and non-epileptic group(n=48)according to whether they had epilepsy in early pregnancy.Uni-variate and multivariate Logistic regression models were used to analyze the influencing factors of seizures in early pregnancy.And the re-ceiver operating characteristic(ROC)curve was further used to evaluate the predictive efficiency of the relevant models.Results Univa-riate analysis showed that there were statistically significant differences in the occurrence of seizures,frequency of seizures in 9months be-fore pregnancy and whether adjusted treatment plan after pregnancy between epileptic group and non-epileptic group(P＜0.05).Multi-variate Logistic regression analysis showed that the occurrence of seizures,the frequency of seizures in 9months before pregnancy,and the whether adjusted treatment plan after pregnancy were correlated with seizures in early pregnancy(P＜0.05).The area under the ROC curve of the predicted model was 0.750(95％CI:0.652-0.858)based on the results of multivariate Logistic regression analysis.Conclusion The occurrence of seizures,the frequency of seizures in 9months before pregnancy and whether adjusted treatment plan after pregnancy are related to the onset of seizures in early pregnancy.The prediction model established according to the results of multivariate Logistic regression analysis has some predictive value.

Objective To investigate the related influencing factors of seizures in early pregnancy.Methods Patients with epilepsy and pregnancy in Suzhou Hospital Affiliated to Nanjing Medical University from July 2019 to July 2023 were retrospectively enrolled and divided into epileptic group(n=35)and non-epileptic group(n=48)according to whether they had epilepsy in early pregnancy.Uni-variate and multivariate Logistic regression models were used to analyze the influencing factors of seizures in early pregnancy.And the re-ceiver operating characteristic(ROC)curve was further used to evaluate the predictive efficiency of the relevant models.Results Univa-riate analysis showed that there were statistically significant differences in the occurrence of seizures,frequency of seizures in 9months be-fore pregnancy and whether adjusted treatment plan after pregnancy between epileptic group and non-epileptic group(P＜0.05).Multi-variate Logistic regression analysis showed that the occurrence of seizures,the frequency of seizures in 9months before pregnancy,and the whether adjusted treatment plan after pregnancy were correlated with seizures in early pregnancy(P＜0.05).The area under the ROC curve of the predicted model was 0.750(95％CI:0.652-0.858)based on the results of multivariate Logistic regression analysis.Conclusion The occurrence of seizures,the frequency of seizures in 9months before pregnancy and whether adjusted treatment plan after pregnancy are related to the onset of seizures in early pregnancy.The prediction model established according to the results of multivariate Logistic regression analysis has some predictive value.

Objective:To describe the characteristics and change trends of incidence, mortality and disease burden of acute myocardial infarction (AMI) in Qingdao from 2014 to 2020.Methods:We analyzed the incidence data of AMI retrieved from Qingdao Chronic Diseases Surveillance System. The average annual percent change (AAPC) of morbidity and mortality of AMI were evaluated by using Joinpoint log-linear regression model. Disability adjusted life year (DALY) was used to estimate disease burden of AMI in Qingdao.Results:A total of 70 491 AMI cases and 50 832 deaths of AMI occurred in Qingdao from 2014 to 2020. The age-standardized morbidity and mortality were 54.71/100 000 and 36.55/100 000, respectively. During 2014-2020, the AAPC of age-standardized morbidity was 2.86% (95% CI: 0.42%-5.35%), and 4.30% (95% CI: 1.24%-7.45%) in men and 0.78% (95% CI: -0.89%-2.47%) in women, respectively. The log-linear regression model showed that age-standardized morbidity in age groups 30-39, 40-49 years increased rapidly, with the AAPCs of 8.92% (95% CI: 2.23%-16.06%) and 6.32% (95% CI: 3.30%-9.44%), respectively. The trend was also observed in age groups 30-39, 40-49 and 50-59 years in men, with the AAPCs of 11.25% (95% CI: 3.54%-19.54%), 6.73% (95% CI: 2.63%-10.99%) and 6.72% (95% CI: 2.98%-10.60%), respectively. There was no significant change in age-standardized mortality. The DALY rate increased from 7.49/1 000 in 2014 to 8.61/1 000 in 2020, with the AAPC of 1.97% (95% CI: 0.36%-3.60%). Conclusions:The age-standardized morbidity of AMI in men increased in Qingdao, especially in those aged 30-49 years, while age-standardized mortality rate of AMI was relatively stable from 2014 to 2020. The burden of disease of AMI increased in both men and women.