Within the prefrontal-cingulate cortex, abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions, contributing to the development of mental disorders such as depression. Despite this understanding, the neural circuit mechanisms underlying this phenomenon remain elusive. In this study, we present a biophysical computational model encompassing three crucial regions, including the dorsolateral prefrontal cortex, subgenual anterior cingulate cortex, and ventromedial prefrontal cortex. The objective is to investigate the role of coupling relationships within the prefrontal-cingulate cortex networks in balancing emotions and cognitive processes. The numerical results confirm that coupled weights play a crucial role in the balance of emotional cognitive networks. Furthermore, our model predicts the pathogenic mechanism of depression resulting from abnormalities in the subgenual cortex, and network functionality was restored through intervention in the dorsolateral prefrontal cortex. This study utilizes computational modeling techniques to provide an insight explanation for the diagnosis and treatment of depression.
Prefrontal Cortex/physiology* ; Humans ; Emotions/physiology* ; Cognition/physiology* ; Gyrus Cinguli/physiology* ; Computer Simulation ; Models, Neurological ; Neural Pathways/physiology* ; Nerve Net/physiology*

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

Objective To explore the prognostic factors of the pathological complete response of internal mammary lymph node (ipCR) after neoadjuvant chemotherapy and its effect on breast cancer prognosis. Methods We retrospectively analyzed the clinical data of 70 patients with primary breast cancer with internal mammary lymph node metastasis who received neoadjuvant chemotherapy. Patients were divided into the ipCR group and non-ipCR group based on their postoperative pathology. χ² test, Fisher, and Logistic regression were used for univariate and multivariate analysis. Meanwhile, the Kaplan-Meier curve and Cox regression were used for prognostic analysis. Results Of 70 patients, 31 obtained ipCR (44.3%). Univariate analysis showed that the expression levels of apCR, HR, and HER2 status were related to ipCR (P < 0.05). Multivariate analysis showed that age, apCR, and HER2 status were independent predictors of ipCR (P < 0.05). The average DFS of ipCR group was better than non-ipCR group (96.0 vs. 67.1 months, P < 0.05). The risk of recurrence and metastasis was 87% lower in the ipCR group than in the non-ipCR group (HR=0.13, 95%CI: 0.04-0.44, P < 0.01). ipCR, Ki67 expression level, and breast pCR (bpCR) were independent factors affecting patients' prognosis. Conclusion There is a correlation between clinico pathological factors and ipCR after neoadjuvant chemotherapy. ipCR can be used to predict the prognosis of patients with internal mammary lymph node metastasis.

OBJECTIVE: To investigate the effect of environmental estrogen bisphenol A (BPA) exposure on apoptosis of mouse ovarian preantral follicular granulosa cells and ovarian development and explore the underlying mechanism. METHODS: Mouse ovarian preantral follicular granulosa cells were isolated from female ICR mice at postnatal day (PND) 10 and cultured RESULTS: Compared with the control cells group, the isolated cells exposed to a low concentration of BPA (50 μmol/L) showed a significantly lowered apoptosis rate, increased mitochondrial membrane potential, and enhanced cellular proliferation ( CONCLUSIONS BPA can concentration-dependently regulate the function of ovarian preantral follicular granulosa cells in mice and potentially affects both the pregnant mice and the offspring female mice in light of early ovarian development.
Animals ; Apoptosis ; Benzhydryl Compounds ; Female ; Granulosa Cells ; Mice ; Mice, Inbred ICR ; Ovarian Follicle ; Phenols ; Pregnancy

Urea transporters (UT) play a vital role in the mechanism of urine concentration and are recognized as novel targets for the development of salt-sparing diuretics. Thus, UT inhibitors are promising for development as novel diuretics. In the present study, a novel UT inhibitor with a diarylamide scaffold was discovered by high-throughput screening. Optimization of the inhibitor led to the identification of a promising preclinical candidate,

Objective: To explore the characteristics and relationship between physical activity and self-efficacy of college students during the COVID-19 epidemic, so as to provide evidence for the orderly development of physical education and curriculum reform of college students after their return to school. Methods: A total of 6 227 college students were collected from 8 districts of China by using convenient sampling method and snowball sampling method, and the physical activity and self-efficacy of all participants were assessed used by the International Physical Activity Questionnaire Short Form (IPAQ-S) and the General Self-Efficacy Scale(GSES). Results: In the terms of general self-efficacy, the score of male students was significantly higher than that of female students, the score of freshman was significantly higher than that of other grades(t/F=7.32, 5.56, P<0.01). In terms of physical activity, the middle and high level physical activity of girls was significantly higher than that of boys, but the proportion of boys meeting the recommended amount was higher(P<0.01). Low level physical activity was the highest in junior college students(31.75%), medium level physical activity was the highest in freshmen (46.75%) and sophomore student (48.13%), and high level physical activity was the highest senior college students (30.40%). The moderate level of physical activity was the highest in all BMI groups, while the lean group had the lowest level of low level physical activity (15.70%) and the highest level of high level physical activity(37.31%), and the lowest proportion meeting the recommended amount(P<0.05). Self-efficacy had a positive predictive effect on physical activity(OR=1.04, 95%CI=1.03-1.05). Conclusion During the COVID-19 epidemic, there are significant differences in general self-efficacy and physical activity among college students by gender, grade and BMI. The general self-efficacy has a positive impact on physical activity, suggesting that college physical education should pay attention to students- self-efficacy, while considering individual and group differences, and promote physical activity level through self-efficacy improvement.

Objective To systematically evaluate the risk of primary lung cancer in breast cancer patients. Methods A computer-based search was conducted for the English literatures about the risk of primary lung cancer in breast cancer patients in Medline, Scopus and Embase databases. Two researchers independently screened the literatures, extracted the data and assessed the risk of bias. The statistical analysis was performed using the Stata 15.5 software. Results A total of 7 references were included, and the overall risk of primary lung cancer in female breast cancer patients was slightly higher than that in the general population (SIR: 1.18, 95%CI: 1.09-1.27). Subgroup analysis showed that the risk of lung cancer was significantly increased in women aged < 50 years after diagnosis of breast cancer (SIR: 1.99, 95%CI: 1.48-2.69). Conclusion Compared with the general population, the risk of primary lung cancer is increased in female breast cancer patients, especially in young women with breast cancer.

Objective:To evaluate the incidence intensity of hand, foot, and mouth disease (HFMD) in 2018/2019 season in southern China by Moving Epidemic Method (MEM), and compare the intensity among provinces, so as to provide basis for optimizing the allocation of public health resources.Methods:The weekly incidence data of HFMD of children under 5 years old in 15 provinces of southern China from March 1, 2012 to February 28, 2019 were collected from Disease Surveillance Reporting System of Chinese Center for Disease Control and Prevention, and the epidemic intensity threshold of each province in southern China during this period was calculated and evaluated by MEM.Results:In the first incidence peak of 2018/2019 HFMD season, in 15 provinces in the south China, 6 provinces (Jiangsu, Zhejiang, Jiangxi, Chongqing, Sichuan and Yunnan) reported very high incidence rates in children under 5 years old while Guangdong, Guangxi and Hainan provinces had low incidence level. In the second incidence peak, the incidences in 6 provinces (Shanghai, Jiangsu, Zhejiang, Chongqing, Sichuan and Yunnan) reached very high levels. The incidences in remaining provinces also reached medium or high levels. In most provinces, the thresholds in the first incidence peak were higher than those in the second incidence peak, but Chongqing and Sichuan were different. The results of model validation showed that the sensitivity and specificity of MEM were higher than 70% except for Hainan, Chongqing and Yunnan.Conclusions:For southern provinces with two incidence peaks in HFMD season, MEM can be used to determine the epidemic intensity thresholds of different incidence peaks by dividing the disease season to analyze the incidence intensity of HFMD in different stages. The epidemic intensity threshold established by MEM integrates the historical data, and the province (city) with extremely high epidemic level identified represents that the province (city) has an abnormal increase compared with the historical incidence level, which requires more attention from all areas and timely implementation of prevention and control measures.

Objective:To characterize the epidemiology of severe hand, foot and mouth disease (HFMD) in China from 2008 to 2018 and provide evidence for the prevention and control of severe HFMD.Methods:The incidence data of severe HFMD cases from 2008 to 2018 were collected from the National Notifiable Infectious Diseases Reporting System of Chinese Center for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze distributions, pathogen constituent and change of severe HFMD. Joinpoint regression model was used to analyze the trends of severity rate, proportion of severe cases and severe fatality rate.Results:From 2008 to 2018, a total of 157 065 cases of severe HFMD were reported in China, with an average annual case-severity rate of 1.05/100 000, a severe case proportion of 0.76 % and a severity-fatality rate of 2.34 %. The severity rate and the proportion of severe cases showed a downward trend after 2010, and severe fatality rate decreased significantly after 2014. The severe cases mainly occurred in infants aged ≤3 years (91.47 %), more boys were affected than girls (1.78∶1). The median age of severe HFMD cases caused by EV-A71 was highest (1.99 years) and increased year by year, other enterovirus infection cases accounted for a higher proportion in infants aged ≤1 year (66.56 %). The incidence peak occurred during April-July, other enteroviruses replaced EV-A71 as the predominant serotype in 2018 (61.97 %). The incidence of severe HFMD were high in some provinces in southwestern, central and eastern China. Conclusion:The overall severity rate, proportion of severe cases and severe fatality rate of HFMD in the mainland of China have shown a downward trend. The predominant pathogen in some provinces has changed from EV-A71 to other enteroviruses. It is necessary to strengthen the prevention and control of HFMD in key population, high incidence seasons and areas and carry out the surveillance of various pathogens of HFMD.