Objective: To explore the association between sleep quality, sleep duration with blood pressure in primary and secondary school students with different nutritional status, so as to provide a reference for targeted intervention measures. Methods: By using stratified cluster random sampling method, a total of 10 871 students aged 7 to 18 years were selected from 36 primary and secondary schools in 6 counties of Yangzhou from October to November 2023. Physical examination and questionnaire survey were conducted respectively. Student Health Status and Influencing Factors Questionnaire was used to collected basic information. The overweight/obesity and sleep quality of primary and secondary school students were determined according to the Screening for Overweight and Obesity among School age Children and Adolescents and the Pittsburgh Sleep Quality Index scale. The χ 2 test was used to compare the prevalence of elevated blood pressure in different groups of primary and secondary school students. Multivariate Logistic regression model was used to explore the association between sleep and blood pressure in primary and secondary school students. Results: The prevalence of elevated blood pressure among primary and secondary school students in Yangzhou was 13.86 %, higher among boys (15.13%) than girls (12.62%) ( χ 2=14.30, P <0.01). The elevated blood pressure rate of obese and overweight primary and secondary school students were 26.98% and 14.90%, respectively, higher than 8.71% of non overweight and obese children ( χ 2=482.58, P <0.01). There were statistically significant differences in elevated blood pressure rate among primary and secondary school students in different sleep quality and sleep duration ( χ 2= 8.45, 71.58, P <0.05). After controlling for gender, residence, educational stage, parental education, sedentary time, the results of multiple Logistic regression analysis showed that no correlation between sleep quality and elevated blood pressure under different nutritional status was found among primary and secondary school students. In primary and secondary school students with obesity, prevalence of elevated blood pressure was higher among those with sleep duration <8 and 8 to <9 h/d ( OR=1.54, 1.72, P <0.05). However, there was no significant association found in the other groups ( OR=1.04-1.28, P >0.05). In gender stratification, sleep duration < 8, 8 to <9 and 9 to <10 h/d of obese boys were positively correlated with elevated blood pressure ( OR=1.97, 2.09, 1.86, P <0.05). Conclusion Among obese primary and secondary school students, sleep duration <9 h/d is associated with an increased risk of elevated blood pressure, especially among obese boys.

ObjectiveTo investigate the impact of preoperative frailty on the prognosis of patients with pancreatic cancer who underwent pancreaticoduodenectomy. MethodsA retrospective analysis was conducted on the clinical data of 435 pancreatic cancer patients who underwent pancreaticoduodenectomy at Sun Yat-sen Memorial Hospital of Sun Yat-sen University. Preoperative frailty was assessed using the FRAIL questionnaire. Binary logistics regression analysis was employed to identify factors influencing frailty， and Cox regression analysis was used to evaluate the effect of frailty on survival. According to the demographic characteristics， subgroup analyses were performed on the effect of frailty on prognosis of patients with pancreatic cancer with pancreaticoduodenectomy. ResultsAmong the 435 patients enrolled， 119 （27.4%） exhibited frailty， while 316 （72.6%） did not. Significant differences were observed between the two groups in various clinical parameters， including age， body mass index， American Society of Anesthesiologists （ASA） score， postoperative red blood cell transfusion， postoperative abdominal abscess， serum levels of glycoantigens 199， glycoantigens 125， and alpha fetoprotein， leukocyte count， neutrophil， high density lipoprotein （HDL） level， and pain intensity （P＜0.05）. Advanced age and an ASA score of Ⅲ were identified as risk factors for frailty， whereas HDL level was a protective factor. Non-frail patients had better postoperative survival times than frail patients. HDL was determined to be an independent protective factor for prognosis， while LDL was an independent risk factor. ConclusionsThis study demonstrates that preoperative frailty is a significant predictor of poor prognosis in pancreatic cancer patients who underwent pancreaticoduodenectomy.These findings suggest that preoperative frailty assessment and targeted interventions to improve nutritional and metabolic status could potentially enhance postoperative survival and quality of life in pancreatic cancer patients.

ObjectiveTo investigate the therapeutic effect of Siegesbeckiae Herba water decoction （SWD） at different doses on atherosclerosis （AS） in a mouse model induced by a high-fat diet and analyze its potential mechanism of action. MethodsThirty-six male ApoE^-/- mice were randomly divided into six groups： blank control group， model group， low-dose， medium-dose， and high-dose SWD groups， and positive control group. Firstly， the AS mouse model was created by feeding mice a high-fat diet. After successful modeling， the low-， medium-， and high-dose SWD groups were intragastrically administered with SWD at 0.65， 1.3， 2.6 g·kg^-1， respectively. The positive control group was intragastrically administered with 30 mg·kg^-1 of atorvastatin calcium aqueous solution， while the blank and model groups received an equal volume of 0.9% sodium chloride solution via oral gavage， all administered for 12 weeks. During the administration period， the general condition of the mice was observed and recorded daily. Before sampling， color Doppler ultrasound was performed to observe the pathological changes in atherosclerotic plaques in the aortic wall of mice. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in aortic tissue in mice， and oil red O staining was used to detect the atherosclerotic plaque area in the aorta. Enzyme-linked immunosorbent assay （ELISA） was used to detect the serum lipid indices and the levels of interleukins （IL-1β， IL-4， IL-6， and IL-10） and tumor necrosis factor-α （TNF-α） in mice. Protein expression levels of IKKα， IKKβ， and NF-κB p65 in mouse aortic tissue were detected by Western blot. ResultsCompared with the blank control group， the model group showed a significant increase in body weight. The results of color Doppler ultrasound showed enhanced vascular wall echo， suggesting the presence of atherosclerotic plaques. HE staining showed foam cell aggregation， fibrous connective tissue proliferation， and vascular intima injury in the aortic tissue. Oil red O staining showed a significant increase in the plaque area in the aortic tissue （P<0.01）. ELISA results indicated significantly elevated levels of IL-1β， IL-6， TNF-α， total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein （LDL） in mouse serum （P<0.01）， as well as significantly decreased levels of IL-4， IL-10， and high-density lipoprotein （HDL） （P<0.01）. Western blot results showed that the expression of IKKα， IKKβ， and NF-κB p65 in mouse aortic tissue increased significantly （P<0.01）. Compared with those in the model group， mice in the middle- and high-dose SWD groups showed significant weight loss. In the high-dose group， the aortic vascular wall echoes were weakened， and the atherosclerotic plaques were reduced. The aortic lesions of mice in the medium- and high-dose SWD groups were significantly alleviated. The plaque area percentage showed an inverse correlation with the administered dose in all groups treated with SWD （P<0.05）. In the medium-dose SWD group， serum levels of IL-1β， IL-6， TNF-α， TC， TG， and LDL were significantly decreased （P<0.05， P<0.01）， while those of IL-4 and IL-10 were significantly increased （P<0.01）. In the high-dose SWD group， levels of IL-1β， IL-6， TNF-α， TC， TG， and LDL were significantly decreased （P<0.01）， while IL-4， IL-10， and HDL were significantly increased （P<0.01）. The IKKα and IKKβ expression was significantly decreased in the low-dose SWD group （P<0.05）， and IKKα， IKKβ， and NF-κB p65 were significantly decreased in the medium- and high-dose SWD groups （P<0.05， P<0.01）. ConclusionSWD may exert therapeutic effects on AS by regulating the expression of related inflammatory factors through the NF-κB signaling pathway， thereby reducing inflammation， plaque area， and lipid content in the body.

With the accelerating aging of world population, the prevalence and disease burden of dementia such as Alzheimer's disease is increasing annually. As one of the major risk factors for dementia, air pollution is still an urgent global concern. Studies on the association between ambient particulate matter (PM), one of the major air pollutants, and dementia, such as Alzheimer's disease, are gaining attention. This paper reviewed the current evidence of relevant epidemiological and toxicological studies to illustrate the possible mechanisms underlying the effects of PM exposure on Alzheimer's disease through inflammatory responses, oxidative stress, endocrine disruption, excitatory neurotoxicity, glial cell activation, and intestinal flora disruption, which may provide clues for mitigating the health risks of air pollution and preventing Alzheimer's disease.

Objective To investigate the role and underlying mechanism of C1q-like protein 4 (C1ql4) in regulating the characteristics of breast cancer stem cells. Methods qRT-PCR was used to detect the expression of C1ql4 in breast cancer and normal breast epithelial cell lines, as well as to verify the transfection efficiency of C1ql4. Western blot analysis was employed to examine the phosphorylation levels of AKT, IKK, and IκB in different groups. An AKT activator was added to MDA-MB-231 cells with C1ql4 knockdown, whereas inhibitors targeting AKT, IKK, IκB, and NF-κB nuclear translocation were separately introduced to C1ql4-overexpressing MCF-7 cells. The nuclear translocation of NF-κB, expression levels of the target genes TNF-α and IL-1β, formation ability of tumorspheres, and proportion of CD44⁺/CD24^−/low stem-like subgroups were analyzed. Results C1ql4 expression in breast cancer cell lines was significantly upregulated compared with that in normal breast epithelial cells. Western blot analysis showed that p-AKT/AKT, p-IKK/IKK, and p-IκB/IκB ratios markedly reduced in C1ql4-knockdown MDA-MB-231 cells (all P<0.05) but significantly increased in C1ql4-overexpressing MCF-7 cells (all P<0.05). Rescue experiments demonstrated that the addition of an AKT activator to C1ql4-knockdown MDA-MB-231 cells resulted in the enhanced nuclear translocation of NF-κB, the increased nuclear/cytoplasmic NF-κB ratios, the elevated TNF-α and IL-1β expression levels, and significant recovery of tumorsphere formation ability and the proportion of CD44⁺/CD24^−/low stem-like subpopulations (all P<0.05). Conversely, in C1ql4-overexpressing MCF-7 cells, treatment with AKT, IKK, IκB, or NF-κB nuclear translocation inhibitors led to a reduction in NF-κB nuclear translocation, decreased nuclear/cytoplasmic NF-κB ratios, and declines in TNF-α and IL-1β expression levels, tumorsphere formation ability, and the CD44⁺/CD24^−/low subpopulation (all P<0.05). Conclusion C1ql4 promotes the translocation of NF-κB from the cytoplasm to the nucleus through the PI3K/AKT/NF-κB signaling pathway and enhances the expression of stemness in breast cancer cells.

Objective: To analyze the epidemiological characteristics and trends of other infectious diarrhea among children under 18 years old in Guangzhou City from 2014 to 2020, and to explore the correlation between climatic factors and the incidence of the disease, so as to provide reference for the early prevention of infectious diseases. Methods: The data of cases of other infectious diarrhea and meteorological data of children under 18 years old in Guangzhou City from 2014 to 2020 were collected through the Chinese Infectious Disease Reporting System and the Guangzhou Meteorological Bureau. The correlation between meteorological factors and the incidence of other infectious diarrhea was analyzed using negative binomial regression. Results: A total of 104 566 cases of other infectious diarrhea among children under 18 years old were reported in Guangzhou City from 2014 to 2020, with a male to female ratio of 1.48∶1. The incidence rate was the highest in 2017 (980.83 per 100 000) and the lowest in 2020 (388.22 per 100 000). The peak of incidence occurred from October to March of the following year. Children under 5 years old accounted for 87.95% of all cases. The number of cases of other infectious diarrhea was negatively correlated with the temperature of the previous 6 days ( IRR = -0.07 ), and positively correlated with the temperature difference on the day of onset ( IRR =0.02) (both P <0.05). It was also positively correlated with the wind speed of the previous 7 days ( IRR=0.07, P <0.05), but there was no statistically significant correlation with the relative humidity on the day of onset ( IRR=-0.00, P >0.05). Conclusions Low temperature, large temperature difference, and high wind speed can increase the risk of other infectious diarrhea. It is necessary to strengthen the prediction and early warning in conjunction with meteorological changes, and warn kindergartens and schools to enhance preventive measures against the clustering of other infectious diarrhea cases.

Objective: To analyze the prevalence and determinants of comorbid overweight/obesity and elevated blood pressure among primary and secondary school students in Yangzhou City, and to explore the association between sleep patterns, eating behavior and the comorbidity of overweight/obesity and elevated blood pressure, so as to provide reference for developing prevention strategies targeting common comorbidities in students. Methods: By using stratified cluster random sampling, a total of 8 735 primary and secondary school students were selected from 36 schools in six counties of Yangzhou from October to November 2023. Students underwent physical examinations and a questionnaire survey was conducted using the questionnaire on students health status and influencing factors. The Chi square test was used to compare the detection rate of comorbid overweight/obesity and elevated blood pressure in different groups of primary and secondary school students. The Logistic regression model was used to explore the association between sleep and dietary behaviors and their combined effects and coexistence. Results: The detection rate of comorbid overweight/obesity and elevated blood pressure among primary and secondary school students in Yangzhou was 9.85%, which was higher among boys (12.14%) than girls (7.59%)( χ 2=50.86, P <0.01). After controlling for gender, residence, educational stage, parental education, smoking, drinking, and moderate to vigorous exercise, multivariate Logistic regression analysis showed that irregular breakfast consumption and inadequate daily sleep were associated with a higher risk of comorbidities compared with regular breakfast consumption and adequate daily sleep among overall and primary school students (overall: OR =1.52, 95% CI =1.18- 1.96 , primary school students: OR =2.79, 95% CI =1.61-4.82)(both P <0.05). From the perspective of primary school students of different genders, the risk of comorbidities in girls who consumed breakfast irregularly and had inadequate daily sleep was 3.59 times higher than that in girls who consumed breakfast irregularly and had inadequate daily sleep (95% CI =1.65-7.82, P <0.01). Conclusion The sleep patterns and breakfast behaviors of primary and secondary school students are found to be associated with comorbid overweight/obesity and elevated blood pressure, especially in primary school girls.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

Objective: To explore effects of cumulative family risk in university students on individuals internalizing problems, to elucidate the mediating roles of perceived social support and self esteem in the relationship, so as to provide a basis for promoting university student s mental health. Methods: Using longitudinal design, 1 207 freshmen from a university in Tianjin were randomly selected and surveyed in November 2023 (T1) and November 2024 (T2). The instruments included the Cumulative Family Risk Scale, the Perceived Social Support Scale, the Self esteem Scale, and the College Student Mental Health Screening Scale. Structural equation modeling (SEM) was constructed, with Bootstrap method used to test mediating effects and to examine gender differences. Results: The results showed that cumulative family risk at T1 with internalizing problems at T1( r =0.30) and internalizing problems at T2 ( r =0.32) were significantly positively correlated (both P <0.01). Mediation analysis indicated that the independent mediating effect of perceived social support at T1，cumulative family risk at T1 and internalizing problems at T2 was 0.03 (95% CI =0.02-0.05), and the independent mediating effect of self esteem at T1 was 0.08 (95% CI = 0.06 -0.10) (both P <0.05). The chain mediating effect of perceived social support and self esteem at T1 was 0.02 (95% CI =0.02-0.03) ( P <0.05). Significant gender differences were observed in the path from cumulative family risk to self esteem ( β male =-0.24, β female =-0.35) and in the path from perceived social support to self esteem ( β male =0.41, β female =0.25) (all P <0.05). Conclusion Cumulative family risk reduces internalizing behaviors in university students via internal and external development resources, with gender specific mechanisms.

BackgroundPrevious studies have identified a close relationship among psychological neglect and abuse， negative affect， different stages of adolescence， and suicidal ideation. However， the mechanisms underlying the impact of psychological abuse and neglect on suicidal ideation among left-behind adolescents remain unclear， and this field of research is still in its relative infancy. ObjectiveTo explore the relationship between psychological neglect/abuse and suicidal ideation among left-behind adolescents， as well as the mediating role of negative affect and the moderating effect of different stages of adolescence， so as to provide insights for preventing and intervening suicidal ideation in this population. MethodsFrom November 2021 to May 2022， a cluster random sampling technique was utilized to select 2 309 left-behind adolescents in western China. Assessments were conducted using the Child Psychological Abuse and Neglect Scale （CPANS）， the Positive and Negative Suicide Ideation （PANSI） and the Positive and Negative Affect Schedule for Children （PANAS-C）. Spearman correlation coefficients were calculated across all samples， and Process 4.1 was employed to test the mediating role of negative affect and the moderating role of different stages of adolescence in the pathway linking psychological abuse/neglect to suicidal ideation. ResultsA total of 2 119 left-behind adolescents （mean age： 14.94±1.20 years） completed the study， with males comprising 51.34% （1 088/2 119） and females 48.66% （1 031/2 119）.Among left-behind adolescents， scores on CPANS psychological neglect subscale showed positive correlations with both psychological abuse subscale scores and PANAS-C negative affect subscale scores （r=0.446， 0.496， P<0.01）. Additionally， CPANS psychological neglect and psychological abuse subscale scores were also positively correlated with PANSI scores （r=0.487， 0.508， P<0.01）. Furthermore， PANAS-C negative affect subscale scores demonstrated a positive correlation with PANSI scores （r=0.499， P<0.01）. Negative affect partially mediated the relationship between psychological abuse/psychological neglect and suicidal ideation， with effect sizes of 0.166 （95% CI： 0.141~0.191） and 0.131 （95% CI： 0.112~0.152）. Different stages of adolescence moderated the latter part （negative emotion → suicidal ideation） of the indirect mediation path from psychological neglect to suicidal ideation through negative affect （β=-0.066， P<0.01）. ConclusionBoth psychological neglect and psychological abuse may influence suicidal ideation among left-behind adolescents via negative affect. Moreover， different stages of adolescence may moderate the indirect path from psychological neglect to suicide ideation through negative affect.