Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Under the background of the Healthy China Strategy, public hospitals urgently need to break through the limitations of the traditional medical mode, build a precise and continuous medical service system to meet the growing personalized health needs of the people. In 2022, a tertiary public hospital launched a multidisciplinary whole course management service practice. By integrating multidisciplinary medical and health resources, clarifying service targets and contents, forming a whole course management service team, constructing a supporting information platform, linking full process services, creating standardized service processes, and providing patients with comprehensive, full process, professional, and accurate full cycle intervention management and care. The hospital covered diseases in stages, ensuring continuous medical for patients after leaving the hospital, improving their medical experience, and supporting the high-quality development of the hospital. As of June 2024, the hospital′s multidisciplinary whole course management services had covered 25 departments and 41 disease, and 43 management teams have been established. A total of 7 453 patients signed up for the whole course service. This practice achieved good results, could provide references for the implementation of whole course management services led by public hospitals.

Objective Exploring the behavioral changes induced by quinpirole in obsessive-compulsive disorder(OCD)mouse,investigating the activation of neurons in different brain regions,and identifying differentially expressed genes(DEGs)and enriched biological pathways through transcriptome sequencing technology to elucidate the pathogenesis of OCD.Methods Randomly assign 32 male C57BL/6J mice,aged two months,to an OCD group and a control group(n=16).Administering quinpirole(0.75 mg/kg)via subcutaneous injection to the OCD group mice every other day for a total of 19 injections,while the control group mice received an equivalent volume of saline solution.Following the completion of the model construction,open field testing,elevated plus maze testing,and marble burying tests were conducted.After the completion of behavioral studies,tissue samples were collected.Neuronal damage was assessed using Nissl staining,while the expression of c-Fos and Iba1 proteins was examined through immunofluorescence staining.Transcriptome sequencing technology was utilized to screen for differentially expressed genes and to enrich relevant signaling pathways.The expression of inflammatory cytokines,including TNF-α,NF-κB p65,phosphorylated NF-κB p65(p-NF-κB p65),and IL-6,was detected using Western Blot analysis.Results Mouse induced with OCD by quinpirole exhibit anxiety-like behaviors and compulsive-like behaviors.Neurons in the hippocampal and hypothalamic regions exhibit signs of damage.The expression of c-Fos and Iba1 proteins is increased in the cortex,striatum,hypothalamus,and other brain regions.Western Blot result indicate a significant increase in the expression of pro-inflammatory cytokines such as TNF-α,p-NF-κB p65,and IL-6.Conclusions In OCD mouse,neurons in multiple brain regions are abnormally activated,microglia exhibit dysfunction,and neuroinflammation induced by the activation of the NF-κB signaling pathway accompanies the development of OCD.

Objective Exploring the behavioral changes induced by quinpirole in obsessive-compulsive disorder(OCD)mouse,investigating the activation of neurons in different brain regions,and identifying differentially expressed genes(DEGs)and enriched biological pathways through transcriptome sequencing technology to elucidate the pathogenesis of OCD.Methods Randomly assign 32 male C57BL/6J mice,aged two months,to an OCD group and a control group(n=16).Administering quinpirole(0.75 mg/kg)via subcutaneous injection to the OCD group mice every other day for a total of 19 injections,while the control group mice received an equivalent volume of saline solution.Following the completion of the model construction,open field testing,elevated plus maze testing,and marble burying tests were conducted.After the completion of behavioral studies,tissue samples were collected.Neuronal damage was assessed using Nissl staining,while the expression of c-Fos and Iba1 proteins was examined through immunofluorescence staining.Transcriptome sequencing technology was utilized to screen for differentially expressed genes and to enrich relevant signaling pathways.The expression of inflammatory cytokines,including TNF-α,NF-κB p65,phosphorylated NF-κB p65(p-NF-κB p65),and IL-6,was detected using Western Blot analysis.Results Mouse induced with OCD by quinpirole exhibit anxiety-like behaviors and compulsive-like behaviors.Neurons in the hippocampal and hypothalamic regions exhibit signs of damage.The expression of c-Fos and Iba1 proteins is increased in the cortex,striatum,hypothalamus,and other brain regions.Western Blot result indicate a significant increase in the expression of pro-inflammatory cytokines such as TNF-α,p-NF-κB p65,and IL-6.Conclusions In OCD mouse,neurons in multiple brain regions are abnormally activated,microglia exhibit dysfunction,and neuroinflammation induced by the activation of the NF-κB signaling pathway accompanies the development of OCD.

Under the background of the Healthy China Strategy, public hospitals urgently need to break through the limitations of the traditional medical mode, build a precise and continuous medical service system to meet the growing personalized health needs of the people. In 2022, a tertiary public hospital launched a multidisciplinary whole course management service practice. By integrating multidisciplinary medical and health resources, clarifying service targets and contents, forming a whole course management service team, constructing a supporting information platform, linking full process services, creating standardized service processes, and providing patients with comprehensive, full process, professional, and accurate full cycle intervention management and care. The hospital covered diseases in stages, ensuring continuous medical for patients after leaving the hospital, improving their medical experience, and supporting the high-quality development of the hospital. As of June 2024, the hospital′s multidisciplinary whole course management services had covered 25 departments and 41 disease, and 43 management teams have been established. A total of 7 453 patients signed up for the whole course service. This practice achieved good results, could provide references for the implementation of whole course management services led by public hospitals.

Objective To investigate the pathogenesis of high-altitude cerebral edema(HACE)and develop new therapeutic strategies.Methods Male Sprague-Dawley(SD)rats of 6 weeks old were selected and placed in a hypobaric chamber.The rats were exposed to the high-altitude environment of 7000 m above sea level for 3 days for HACE modeling.Whether the HACE model was successfully established in the rats was evaluated by measuring brain water content,the degree of disruption to the blood-brain barrier(BBB),and brain tissue Nissl staining.The experimental animals were divided into four groups,with 28 rats in each group.The blank control group was exposed to a normobaric and normoxic environment simulating the conditions at 500 m above sea level for 3 d.The other groups,including a model group(the HACE group),a bumetanide group(the positive control group),and a XH-6003 treatment group,were placed at an altitude of 7 000 m above sea level and were injected with normal saline,bumetanide,and XH-6003,a new type of Na-K-2C1 cotransporter 1(NKCC1)inhibitor,via the tail vein,respectively,twice daily for 3 d.The experimental animals were taken out of the hypobaric chamber for testing after 3 d.The primary outcome measures included brain water content,BBB permeability,changes in brain tissue morphology,and the expression levels of aquaporin-4(AQP4)and NKCC1.The secondary outcome measures included behavioral changes,apoptosis,and oxidative stress markers.Results The HACE rat model was successfully established.The model group exhibited increased brain water content(P＜0.0001),BBB disruption(P＜0.0001),impairment in learning skills and memory(P＜0.001),and anxiety/depression-like behaviors(P＜0.01).qPCR results showed significantly increased expression of NKCC1 and AQP4 in the brain tissue of the model group(P＜0.01).Pathology examination revealed neuronal and glial cell damage in the hippocampus of the model group(P＜0.01).Treatment with XH-6003,the NKCC1 inhibitor,reversed brain water content,BBB disruption,and neuronal and glial cell damage to a certain degree(P＜0.05),decreased the expression of NKCC1 and AQP4 in the brain tissue(P＜0.01),and inhibited apoptosis-related proteins.Among the oxidative stress indices,only glutathione(GSH)showed improvement(P＜0.001).Rats treated with XH-6003 showed functional improvement only in the time spent exploring novel objects,while other behavioral outcomes remained unchanged.Conclusion HACE is associated with the activation of the NKCC1/AQP4 pathway.Inhibition of this pathway alleviates brain edema,BBB disruption,and neuronal and glial cell damage.These findings suggest that XH-6003 holds potential as a therapeutic strategy for HACE at the cellular and molecular levels,but its effects in improving HACE-related behavioral disorders warrant further investigation.

Objective:To compare the differences in clinical characteristics among the patients at clinical high risk for bipolar disorder(CHR-BD),the patients with bipolar disorder(BD),and the healthy controls(HC)at low risk,and to provide the basis for the diognasis and treatment of CHR-BD.Methods:For the first time,the BD risk criteria and prospective structured assessment tools were jointly used in outpatients aged 16-30 years,and 43 CHR-BD patients were included to ensure the accuracy of the assessment.Meanwhile,33 BD patients and 32 HC subjects were also enrolled.The clinical symptoms,neurocognitive function,and global functional levels of the subjects in the three groups were evaluated using observer-rated and self-rated tools.The CHR-BD and BD groups were combined,and Logistic regression analysis was used to identify the independent influencing factors related to diagnostic status;Pearson or Spearman correlation analysis was used to analyze the correlations between the global functional levels and the symptoms or neurocognitive characteristics of the patients in CHR-BD and BD groups.Results:There were statistically significant differences in the scores of symptom and global functional level scales among HC,CHR-BD,and BD groups(P<0.05).Compared with HC group,the scores of mood symptoms(anxiety,depression,and mania/hypomania),psychotic symptoms,total affective temperament questionnaire scores,and some dimensions(cyclothymic,depressive,irritable,and anxious temperaments)in CHR-BD and BD groups were significantly increased(P<0.001),while the global functional levels were significantly decreased(P<0.001).Compared with BD group,the lowest global functional level score in the past year in CHR-BD group was significantly increased(P=0.022),while the current global functional level score was significantly decreased(P=0.005).No significant differences were observed in neurocognitive function scores among the three groups(P>0.05).The lowest global functional level score in the past year was an independent influencing factor for BD diagnosis[odds ratio(OR)=0.952,95%confidence interval(CI):0.917-0.988,P=0.010].In both CHR-BD and BD patients,the current global functional levels were negatively correlated with depressive(r=-0.417,P=0.005;r=-0.617,P<0.001)and anxiety symptoms(r=-0.360,P=0.018;r=-0.506,P=0.003).In BD patients,the current global functional level was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.360,P=0.039),psychotic symptoms(r=-0.502,P=0.003),and affective temperament scores(r=-0.479,P=0.005),while the lowest global functional level in the past year was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.391,P=0.024).Conclusion:CHR-BD patients share similar mood symptom characteristics with BD patients,and their global functional levels are negatively correlated with depressive and anxiety symptoms.BD patients exhibit worse lowest global functional levels in the past year,and their global functional levels are negatively correlated with manic/hypomanic symptoms.

Objective:To investigate the influencing factors for dysphagia in the elderly,to construct a predictive model for dysphagia,and to provide a theoretical basis for clinical practice.Methods:In this case-control study,the patients with dysphagia who attended Department of Geriatrics in the first affiliated hospital of Chongqing Medical University from March 2016 to June 2023 were enrolled as case group,and the patients without dysphagia who attended the same department during the same period of time were enrolled as con-trol group.The correlation analysis,least absolute shrinkage and selection operator(LASSO)regression,and multivariate logistic re-gression analysis were used to investigate the influencing factors for dysphagia;the 10-fold cross-validation Extreme Gradient Boosting(XGBoost)model was used to predict dysphagia,and the SHapley additive exPlanations(SHAP)method was used for model visualiza-tion.Results:There were 1009 cases in the case group and 2125 cases in the control group.The correlation analysis and LASSO re-gression analysis identified 12 factors for the multivariate logistic re-gression analysis,and the results showed that sarcopenia,increasing age,children or caretakers as caregivers,frail health,poor oral health,poor self-care ability,depression,and cognitive impairment were risk factors for dysphagia(odds ratio[OR]>1,P<0.05),and fe-male sex and participation in community activities were protective factors against dysphagia(OR<1,P<0.05).The XGBoost model had a good predictive efficacy,with an accuracy rate of 0.795,a preci-sion rate of 0.711,a sensitivity of 0.613,a specificity of 0.881,an F1 value of 0.661,and an area under the ROC curve of 0.855.The SHAP plot showed that the top five important characteristics were caregiver,oral score,frail health condition,activities of daily living,and cognitive function.Conclusion:There are various influencing factors for dysphagia in the elderly,and the elderly patients with poor oral health,frailty,dependence on others for daily life,and cognitive impairment should be taken seriously in clinical practice.The XGBoost model has a good performance in predicting dysphagia in the elderly,which can provide a reference for clinical practice.

Objective:To investigate the influencing factors for sarcopenia in hospitalized patients,to construct a risk prediction model for sarcopenia in elderly hospitalized patients,and to provide a quantitative tool for early screening and intervention of sarcopenia based on the integration of multi-dimensional indicators.Methods:A retrospective analysis was performed for the data of 2105 elderly patients who were hospitalized in The First Affiliated Hospital of Chongqing Medical University from March 2016 to June 2023.The least absolute shrinkage and selection operator analysis was used for the screening of variables,and the logistic regression analysis was used to investigate the influencing factors for sarcopenia.A predictive model was constructed,and internal and external validation was performed.The Shapley additive explanations model was used to analyze feature contributions,and a nomogram model was constructed to visualize and interpret the results.Results:The 1259 patients from March 2016 to December 2020 were randomly divided into a training set with 882 patients and an internal test set with 377 patients at a ratio of 7∶3,and the 846 patients from January 2021 to June 2023 were established as the external validation set.A total of 489 cases of sarcopenia(55.44%)were detected in the training set.The logistic regression analysis based on the training set showed that asthenia,dependence on Activity of Daily Living,malnutrition,and in-creasing age were risk factors for sarcopenia(odds ratio[OR]>1,P<0.05),and male sex,normal body mass index,and overweight were protective factors against sarcopenia(OR<1,P<0.05).The model had an AUC of 0.876(95%CI=0.854-0.899)in the training set,0.883(95%CI=0.849-0.918)in the internal test set,and 0.750(95%CI=0.717-0.783)in the external validation set,suggesting that the model had good performance.The decision curve analysis showed that the nomogram model had a good clinical value.Conclu-sion:The predictive model for sarcopenia has good performance and holds promise for clinical application.