ObjectiveTo analyze the epidemiological characteristics and influencing factors of clustered influenza-like illness (ILI) outbreaks in Yangpu District, Shanghai from 2012 to 2022, and to provide a scientific basis for formulating specific prevention and control measures of influenza in this district. MethodsData on clustered ILI outbreaks from 2012 to 2022 were collected, and the epidemiological pattern of the cluster outbreaks of influenza and its influencing factors of prevalence and duration were explored using statistical methods such as descriptive epidemiology, χ² test and logistic regression analysis. ResultsA total of 60 clustered ILI outbreaks were reported in Yangpu District, Shanghai from 2012 to 2022, with a cumulative number of 543 cases and an annual average incidence rate of 16.96%. The male-to-female ratio was1.06∶1. The largest number of ILI were reported in 2019, mainly from November to January of the next year, with December being the peak of outbreaks. The Streets of Changhai Rd. in Yangpu District had the largest number of reported outbreaks, accounting for 30.00% of the total outbreaks. Influenza cluster outbreaks occurred in schools, with the majority of outbreaks and cases reported in primary schools (accounting for 65.00% and 62.06% of the total, respectively). The outbreaks were mainly caused by influenza B virus, accounting for 50% of the total number of outbreaks. The prevalence rate of influenza cluster outbreaks varied among different schools in terms of their affiliated streets, school attributes and school types, with those in Kongjiang Rd. Subdistrict, private schools, and childcare institutions being relatively high. The duration of outbreaks reported for >2 days was longer than those reported for ≤2 days (OR=8.604, 95%CI: 1.509–49.067). ConclusionThe ILI outbreaks in Yangpu District present a seasonal pattern, with primary schools and Changhai Rd. Street as the targeted places for implementing prevention and control measures. Timely detection and reporting and active disposal can prevent a further spread of the outbreaks.

ObjectiveTo analyze the incidence rate and mortality of acute myocardial infarction (AMI) and their changing trends among the registered residents in Xiaoshan District, Hangzhou City from 2017 to 2023, so as to provide references for formulating policies related to AMI prevention. MethodsThe morbidity and mortality data of AMI among the registered residents in Xiaoshan District from 2017 to 2023 were collected through the Hangzhou Chronic Disease and Death Cause Monitoring System. Software such as Excel 2019, SPSS 25.0 and Joinpoint 4.9.1.0 were used to calculate the incidence rate, mortality, and average annual percentage change (AAPC) of AMI. ResultsFrom 2017 to 2023, the average annual crude incidence rate, age-standardized incidence rate using China standard population (ASIRC), and the age-standardized incidence rate using World standard population (ASIRW) of AMI in Xiaoshan District were 48.25/100 000, 29.14/100 000, and 21.64/100 000, respectively, and, from which the AAPCs were 5.495%, 6.010%, and 6.533%, respectively, all showing an upward trend. The average annual crude mortality rate, the age-standardized mortality rate using China standard population (ASMRC), and the age-standardized mortality rate using World standard population (ASMRW) were 11.76/100 000, 6.52/100 000, and 4.71/100 000, respectively, from which the AAPCs were -9.669%, -10.433% and -9.615%, respectively, all showing a downward trend. The average annual crude incidence rate of AMI was higher in males (65.87/100 000) than that in females (31.31/100 000). Moreover, the average annual crude mortality rate of AMI was higher in males (14.08/100 000) than that in females (9.52/100 000), and the difference was statistically significant (all P<0.001) .After age grouping, the crude incidence rate of AMI among the residents aged 35-, 45-, 55-, and 65- years in Xiaoshan District from 2017 to 2023 showed an upward trend over time, with AAPCs of 16.993%, 17.149%, 8.523%, and 5.002%, respectively. While the crude mortality rate in residents aged 35-, 75-, and 85-102 years showed an decreasing trend over time, with AAPCs of -23.977%, -15.467%, and -17.415%, respectively, but there was no statistically significant difference in the trends in incidence rate and mortality of other age groups (all P>0.05). ConclusionThe situation of AMI prevention and control among the registered residents in Xiaoshan District is not optimistic, and targeted measures should be strengthened for the male residents aged ≥35 years old.

Increasing evidence shows that the early lesions of Parkinson's disease (PD) originate from gut, and correction of microbiota dysbiosis is a promising therapy for PD. FLZ is a neuroprotective agent on PD, which has been validated capable of alleviating microbiota dysbiosis in PD mice. However, the detailed mechanisms still need elucidated. Through metabolomics and 16S rRNA analysis, we identified glycoursodeoxycholic acid (GUDCA) was the most affected differential microbial metabolite by FLZ treatment, which was specially and negatively regulated by Clostridium innocuum, a differential microbiota with the strongest correlation to GUDCA production, through inhibiting bile salt hydrolase (BSH) enzyme. The protection of GUDCA on colon and brain were also clarified in PD models, showing that it could activate Nrf2 pathway, further validating that FLZ protected dopaminergic neurons through promoting GUDCA production. Our study uncovered that FLZ improved PD through microbiota-gut-brain axis, and also gave insights into modulation of microbial metabolites may serve as an important strategy for treating PD.

Although enteric glial cell (EGC) abnormal activation is reported to be involved in the pathogenesis of Parkinson's disease (PD), and inhibition of EGC gliosis alleviated gut and dopaminergic neuronal dysfunction was verified in our previous study, the potential role of gut microbiota on EGC function in PD still need to be addressed. In the present study, fecal microbiota transplantation revealed that EGC function was regulated by gut microbiota. By employing 16S rRNA and metabolomic analysis, we identified that 3-indolepropionic acid (IPA) was the most affected differential microbial metabolite that regulated EGC gliosis. The protective effects of IPA on PD were validated in rotenone-stimulated EGCs and rotenone (30 mg/kg i.g. for 4 weeks)-induced PD mice, as indicated by decreased inflammation, improved intestinal and brain barrier as well as dopaminergic neuronal function. Mechanistic study showed that IPA targeted pregnane X receptor (PXR) in EGCs, and inhibition of IL-13Rα1 involved cytokine-cytokine receptor interaction pathway, leading to inactivation of downstream JAK1-STAT6 pathway. Our data not only provided evidence that EGC gliosis was critical in spreading intestinal damage to brain, but also highlighted the potential role of microbial metabolite IPA in alleviating PD pathological damages through gut-brain axis.

[This corrects the article DOI: 10.1016/j.apsb.2025.02.029.].

Objective To investigate the efficacy and safety of Huoluoxiaolingdan formula combined with ginkgolide injection in the treatment of ischemic stroke patients with blood stasis blockage syndrome.Methods The ischemic stroke patients with blood stasis blockage syndrome who were treated in Suzhou First People's Hospital from June 2017 to August 2019 were randomly divided into test group and control group.The control group was given ginkgolide injection,and the test group was given Huoluoxiaolingdan formula additionally.Both groups were treated for 2 weeks.The efficacy and adverse drug reactions of the two groups were evaluated,and the changes of clinical scores,hemorheology,blood lipids and inflammatory factors before and after treatment were compared between the two groups.Results A total of 194 patients were included,there were 97 cases in each group.The total effective rate of test group was 91.75％,which was significantly higher than that of control group(79.38％)(P＜0.05),and the incidence of adverse reactions was significantly lower than that in the control group(P＜0.05).After treatment,NIHSS,CSS and ASS in both groups were lower than before treatment(P＜0.05),while BI was higher than before treatment(P＜0.05).The levels of ηp,ηb,Fib and EEP in test group were significantly lower than those in control group(P＜0.05).HDL-C level of test group was significantly higher than that of control group,TC,LDL-C and TG levels were lower than that of control group(P＜0.05).The levels of IL-4 in test group were significantly higher than those in control group,and the levels of IL-1 β,IL-8 and TNF-α were lower than those in control group(P＜0.05).The above indexes in the test group was significantly better than that in control group(P＜0.05).Conclusion Huoluoxiaolingdan formula combined with ginkgolide injection can significantly improve the efficacy of patients with blood stasis blockage syndrome during the recovery period of ischemic stroke,improve clinical symptom score,correct abnormal hemorheology,reduce blood lipid level,inhibit the progression of inflammation,and alleviate adverse reactions,which has high clinical application value.

Liver fibrosis is a repair response to chronic liver injury caused by various etiologies. Its continuous progression can develop into liver cirrhosis or even hepatocellular carcinoma, eventually leading to liver failure. Currently, there is no effective treatment for liver fibrosis. Hepatic macrophages play a key role in intrahepatic inflammatory response, progression and resolution of fibrosis, and have emerged as an important therapeutic target for anti-hepatic fibrosis. The function of hepatic macrophages in the process of liver fibrosis was mainly reviewed and the mode of action of hepatic macrophages from various aspects was discussed to provide ideas for the treatment of liver fibrosis.

Objective: To analyze the characteristics of influenza virus detection in an influenza outbreak in schools, so as to provide a strategic basis for the treatment of influenza outbreaks in schools. Methods: A total of 1 702 samples were collected from 52 school influenza outbreaks reported in Linyi City in 2021-2022. The samples were divided into 3 types according to different symptoms during the management of the epidemic [group A:influenzalike illness (ILI) group; group B:mild illness group; group C:close contacts group]. Rt-PCR was used to detect influenza virus nucleic acid in the collected samples. The detection rate of influenza virus in the outbreaks was analyzed by χ2 test. Results: In total, 1 071 samples (62.93%) tested positive for influenza virus nucleic acid. Among them, 610 out of 726 samples (84.02%) were detected in group A, while 331 out of 634 samples (52.21%) were detected in group B. In group C, 130 out of 342 samples (38.01%) tested positive. The differences were statistically significant (χ2=260.71, P<0.01). In group A, males had a detection rate of 80.83% for influenza virus nucleic acid, compared to 91.36% for females. For group B, the rates were 53.31% for males and 50.87% for females. In group C, males had a rate of 30.72%, while females had a rate of 43.92%. Statistical significance for gender differences was observed only in groups A and C (χ2=12.67, 6.25, P<0.05). According to the days of onset, the detection rates of influenza virus nucleic acid among patients with onset 0-6 days were 56.30%, 74.49%, 89.35%, 86.23%, 69.67%, 62.75%, 34.33%, respectively, and the difference was statistically significant (χ2=128.27, P<0.01). Conclusions Mild cases and close contacts are likely key factors contributing to the prolonged emergence of new cases within classrooms during school influenza outbreaks. The progression of influenza symptoms is related to the risk of transmission.

Objective:To analyze the relationship between Twist2 and the prognosis and vascular infiltration of ovarian cancer patients,and to explore the role and mechanism of Twist2 in vascular infiltration of ovarian cancer.Methods:KM plotter was used to explore the correaltion between Twist2 mRNA expression and overall survival(OS),progression free survival(PFS)and post progression survival(PPS)in ovarian cancer.To analyze the cor-relation between Twist2 and vascular infiltration in ovarian cancer using the cancer genomics database cBioPor-tal.In vitro experiment:Transwell method was employed to determine the role of Twist2 in the invasion and migra-tion abilities of ovarian cancer cell CAOV3[blank group,negative control group(siNC group),siTwist2 group].Uti-lizing Realtime-PCR and Western blot to clarify the changes in Twist2 and VEGFC expression in CAOV3 cells af-ter downregulating Twist2 expression at the RNA and protein levels,respectively.Results:①Online data analysis of KM plotter showed that the ovarian cancer patients with high expression of Twist2 were associated with poor prognosis,with OS(HR 1.24,95％Cl 1.01-1.52),PFS(HR 1.39,95％CI 1.14-1.70)and PPS(HR 1.37,95％CI 1.08-1.74)all showing statistical significance(P＜0.05).CBioportal analysis showed that Twist2 mRNA expression was positively correlated with vascular infiltration(r=0.93,P=0.001)and lymphatic infiltration(r=0.89,P=0.009)in ovarian cancer.②Compared with the blank group and siNC group,in vitro experiment Tran-swell assay showed that the invasion and migration ability of ovarian cancer cells in siTwist2 group was significant-ly reduced(P＜0.05).In mRNA and protein level,Realtime-PCR and Western blot showed that compared with the blank group and siNC group,the expression of Twist2,as well as VEGFC,were significantly reduced in the siTwist2 group(P＜0.05).Conclusions:The expression of Twist2 in ovarian cancer is closely related to tumor prognosis and vascular infiltration.After downregulating Twist2,the number of cells that migrate and invade is sig-nificantly reduced,and the expression of VEGFC is reduced.Twist2 can induce migration and invasion of ovarian cancer cells through VEGFC,which may be one of the indicators for prognosis evaluate and targeted therapy of ovarian cancer in future.

BACKGROUND:The assessment of asymmetric gait quality plays a pivotal role in guiding rehabilitation training;however,the link between gait quality and kinematic-kinetic gait parameters remains ambiguous. OBJECTIVE:To formulate a machine-learning model for evaluating gait quality based on gait parameters,identify factors sensitive to gait quality from asymmetric gait parameters,investigate the relationship between gait indicators and gait quality,and provide guidance for asymmetric gait training and rehabilitation. METHODS:An asymmetric gait database was established through the creation of asymmetric conditions.Kinematic and kinetic data were collected from 8 young and 8 elderly subjects(all male,right dominant population)during gait tests.Gait quality for each test data set was assessed using symmetry indices,resulting in the creation of a gait parameter-gait quality dataset.Utilizing the Random Forest algorithm,a gait quality evaluation model was developed and key quality parameter factors were identified through differential analysis.This model was iteratively refined.The model's performance was evaluated through 10-fold cross-validation,and its effectiveness was verified using the cross-validation dataset. RESULTS AND CONCLUSION:(1)A gradient test was designed to categorize gait quality into optimal,suboptimal,intermediate,and poor groups,with 759,329,133,and 125 instances,respectively.(2)The application of the Random Forest algorithm in gait quality assessment was explored.A relationship model was established between gait indicators and gait quality,yielding a predictive model accuracy of 95.99%.(3)The 13 main parameters significantly influencing asymmetric gait quality were identified through the Random Forest model's feature importance ranking.(4)An analysis of gait quality sensitivity factors using the 13 important parameters led to the identification of five key sensitivity indexes.The Random Forest model utilizing these sensitivity factors achieved a predictive accuracy of 94.20%.