ObjectiveTo evaluate the effectiveness of exhalation-inhalation exercise on early pulmonary rehabi-litation for patients with acute exacerbation of chronic obstructive pulmonary disease （AECOPD）. MethodsA total of 120 participants with AECOPD were randomly divided into a treatment group and a control group， with 60 participants in each group. The control group treated with conventional western medicine， while the treatment group received exhalation-inhalation exercise training on the basis of conventional western medicine treatment， with 30 minutes per session and 5 sessions per week. The course of treatment for both groups was 12 weeks. The primary outcome was the 6-minute walking distance （6MWD）. The secondary outcomes included pulmonary function indexes including forced expiratory volume in one second/forced vital capacity （FEV1/FVC）， percentage of predicted forced expiratory volume in one second （FEV1%） and percentage of predicted forced vital capacity （FVC%）， St.George's Respiratory Questionnaire （SGRQ） score， modified Medical Research Council （mMRC） dyspnea scale score， COPD assessment test （CAT） score， hospital anxiety and depression scale-anxiety subscale ［HADS（A）］ score， and hospital anxiety and depression scale-depression subscale ［HADS（D）］ score. Meanwhile， safety of all participants was recorded and assessed. ResultsDuring the treatment， 12 participants dropped out from both the treatment group and the control group， with 48 participants in each group finally included in the analysis. The 6MWD of both groups after treatment was higher than that before treatment， and the 6MWD of the treatment group was higher than that of the control group （P＜0.05 or P＜0.01）. After treatment， the SGRQ score， mMRC score and CAT score of the treatment group were lower than those before treatment， while FEV1%， FVC% and FEV1/FVC were higher than those before treatment （P＜0.05）. Moreover， after treatment， the FEV1/FVC of the treatment group was higher than that of the control group， while the SGRQ score， mMRC score and CAT score were lower than those of the control group （P＜0.05 or P＜0.01）. There was no statistically significant difference in pulmonary function indexes， SGRQ score， mMRC score and CAT score after treatment in the control group （P＞0.05）. No statistically significant difference was observed in HADS（A） score and HADS（D） score after treatment within and between groups （P＞0.05）. The incidence of adverse reactions in the treatment group was 6.25% （3/48）， and 0 in the control group， with no statistically significant difference between groups （P＞0.05）. ConclusionExhalation-inhalation exercise for patients with AECOPD in early pulmonary rehabilitation can improve patients' exercise tole-rance， quality of life， clinical symptoms and pulmonary function， with good safety.

In recent years, the rising prevalence of obesity and its associated metabolic syndromes has emerged as a critical global public health concern. Sustained weight loss exceeding 10% of total body weight has been shown to ameliorate obesity-related comorbidities, including type 2 diabetes mellitus, hypertension, and hepatic steatosis. Recently, the potential of brown adipose tissue (BAT) to improve metabolism has garnered significant attention. However, evidence regarding weight loss therapies that promote BAT activation remains limited in preclinical models and is even scarcer in clinical studies, partly due to the paucity of appropriate BAT assessment techniques. This review aims to explore the potential impact of various weight loss therapies on BAT, with the goal of providing novel insights and strategies for the treatment of obesity.

BackgroundIndividuals with schizophrenia are prone to higher rates of hospital readmission， presenting significant clinical challenges and imposing considerable social burdens within the mental health domain. In recent years， various risk prediction models have been developed to forecast readmission in patients with schizophrenia and support clinical decision-making， but their predictive performance and clinical applicability require comprehensive evaluation. ObjectiveTo systematically evaluate the risk prediction models for readmission in patients with schizophrenia， so as to provide insights for the development of high-performance and highly applicable readmission risk prediction models for patients with schizophrenia. MethodsOn July 5， 2025， a systematic literature search was conducted across multiple electronic databases， including PubMed， Embase， Cochrane Library， Web of Science， CINAHL， CNKI， China Biomedical Literature Database， Wanfang Database， and VIP Database， to identify risk prediction models for readmission in patients with schizophrenia. The search period was from the establishment of the databases to July 1， 2025. Two researchers independently performed literature screening， data extraction， risk of bias assessment， and applicability assessment. ResultsA total of 9 studies were included in this review， encompassing 18 risk prediction models for readmission in patients with schizophrenia. Among them， 4 models reported the area under the receiver operating characteristic （ROC） curve （AUC）， ranging from 0.734 to 0.820， 16 models provided AUC values of 0.642–0.879 for internal validation， and 1 model demonstrated an AUC of 0.841 for external validation. Key predictors included disease duration and the concomitant therapy of antipsychotic medications. The risk of bias was assessed as "high" in all included studies. ConclusionThe development of risk prediction models for readmission in patients with schizophrenia remains in an exploratory stage. Although the model exhibits favorable predictive performance， it is associated with a high risk of bias and insufficient performance evaluation.

Objective: To compare the in vitro quality differences of leukoreduced pooled concentrated platelets prepared from whole blood preserved at different temperatures and for various durations, determine the safe time window for refrigerated whole blood in platelet preparation, and provide experimental evidence for optimizing blood component preparation procedures and improving the comprehensive utilization rate of blood resources. Methods: A total of 324 units of 400 mL ACD-B anticoagulated whole blood were randomly divided into two groups and stored at 4℃ and 22℃, respectively. The buffy coat was separated at three time intervals: <6 h, 6-12 h, and >12 h (≤18 h) post-collection, and allowed to rest overnight at 22℃. On the following day, the buffy coats from each group were pooled to prepare leukoreduced pooled platelet concentrates (LPPCs). Cell counts were performed, and metabolic parameters including pH, glucose, and lactate levels were measured to evaluate metabolic status. Platelet in vitro function and activation were assessed by thromboelastography (TEG), platelet aggregation rate, and the expression of PAC-1 and CD62P. The differences between the two groups were compared. Results: For pooled concentrated platelets prepared from whole blood stored at 4℃ and 22℃ for <6 h and 6-12 h, there were no significant differences in platelet count, pH, glucose levels, lactic acid levels, thromboelastography (TEG), platelet aggregation rate, or platelet activation rate (P>0.05). With prolonged refrigeration time of whole blood, compared with pooled concentrated platelets prepared from whole blood stored at 22℃ for >12 h but ≤18 h, those prepared from whole blood stored at 4℃ for >12 h but ≤18 h showed a decreased platelet count (1 152.83±180.08 vs 1 368.83±134.86, P=0.040), a significantly increased ADP-induced aggregation rate (26.82±6.59 vs 13.88±10.21, P=0.030), and significantly elevated expression rates of PAC-1 and CD62P (72.64±6.74 vs 63.28±5.97, P=0.030). However, there were no significant differences in pH, glucose content, lactate content, or thromboelastography (P>0.05). Conclusion: There was no significant difference in the in vitro count, function, or activation of pooled concentrated platelets prepared from whole blood stored at 4℃ and 22℃ within 12 hours. However, statistically significant differences were observed between the mixed concentrated platelets prepared from whole blood stored at 4℃ and those stored at 22℃ for more than 12 hours but not exceeding 18 hours. These findings can provide a reference for the preparation methods and clinical application of refrigerated platelets.

ObjectiveTo investigate the effect of Semaphorin 3A （Sema3A） on the progression of pathological cardiac hypertrophy. MethodsWild-type C57BL 6J mice， Sema3A global overexpressing （Sema3A/Cre-ER^TM） mice， and their littermate controls （Cre-ER^TM） were used， with 6 mice per group. A pressure-overload induced cardiac hypertrophy model was established via transverse aortic constriction （TAC）， with a sham-operated group （Sham） as the control. Cardiac hypertrophy was assessed by gross morphology， heart weight/body weight ratio （HW/BW）， heart weight/tibia length ratio （HW/HL）， and heart weight/lung weight ratio （HW/PW）. Cardiac function was evaluated by measuring ejection fraction （EF） and fractional shortening （FS） via echocardiography. In heart tissues， the mRNA level of atrial natriuretic peptide （ANP） and Sema3A were detected by RT-qPCR， Sema3A protein level was detected by western blot， morphological structure was detected by hematoxylin and eosin （HE） staining， level of fibrosis was detected by Masson’s trichrome staining， and angiogenesis was detected by immunohistochemical detection of CD31. For in vitro experiments， rat H9C2 cardiomyocytes were treated with angiotensin Ⅱ （Ang Ⅱ） to induce hypertrophy， with PBS-treated cells as the control. After 48 hours， the mRNA expression of ANP， B-type natriuretic peptide （BNP） and Sema3A were measured by RT-qPCR， and Sema3A protein level was assessed by western blot. ResultsAt the animal level， compared with the sham group， mice subjected to TAC showed significantly increased mRNA levels of ANP in cardiac tissue， as well as markedly elevated mRNA and protein levels of Sema3A （all P<0.05）. Compared with the Cre-ER^TM + TAC group， the Sema3A/Cre-ER^TM + TAC group exhibited more pronounced cardiac hypertrophy， greater ventricular wall thickening， higher HW/BW， HW/HL， and HW/PW ratios， more significant reductions in EF and FS， more severe cardiac fibrosis， and a significant decrease in cardiac CD31 expression levels （all P<0.05）. At the cellular level， compared with the control group， H9C2 cells treated with Ang Ⅱ displayed significantly increased mRNA levels of ANP and BNP， along with markedly elevated mRNA and protein levels of Sema3A （all P<0.05）. ConclusionSema3A promotes the progression of pressure overload-induced cardiac hypertrophy by inhibiting angiogenesis.

ObjectiveTo explore the mechanism by which Buyang Huanwutang regulates the glutathione peroxidase 4 （GPX4）-acyl-CoA synthetase long-chain family member 4 （ACSL4） axis to inhibit ferroptosis and promote neurological functional recovery after spinal cord injury （SCI）. MethodsNinety rats were randomly divided into five groups： sham operation group， model group， low-dose Buyang Huanwutang group （12.5 g·kg^-1）， high-dose Buyang Huanwutang group （25 g·kg^-1）， and Buyang Huanwutang + inhibitor group （25 g·kg^-1 + 5 g·kg^-1 RSL3）. The SCI model was established by using the allen method. Tissue was collected on the 7th and 28th days after operation. Motor function was assessed by using the Basso-Beattie-Bresnahan （BBB） scale. Hematoxylin-eosin （HE）， Nissl， and Luxol fast blue （LFB） staining were performed to observe spinal cord histopathology. Transmission electron microscopy was used to examine mitochondrial ultrastructure. Immunofluorescence staining was used to detect the number of NeuN-positive cells and the fluorescence intensity of myelin basic protein （MBP）， GPX4， and ACSL4. Real-time fluorescent quantitative polymerase chain reaction （Real-time PCR） was used to analyze the mRNA expression of GPX4 and ACSL4. Enzyme linked immunosorbent assay （ELISA） was performed to measure the levels of reactive oxygen species （ROS）， malondialdehyde （MDA）， glutathione （GSH）， and superoxide dismutase （SOD）. Colorimetric assays were used to determine the iron content in spinal cord tissue. ResultsCompared to the sham operation group， the model group exhibited significantly reduced BBB scores （P<0.01）， severe pathological damage in spinal cord tissue， and marked mitochondrial ultrastructural disruption. In addition， the model group showed a decrease in the number of NeuN-positive cells （P<0.01）， reduced fluorescence intensity of MBP and GPX4 （P<0.01）， lower levels of GSH and SOD （P<0.01）， and downregulated mRNA expression of GPX4 （P<0.01）. Moreover， compared to the sham operation group， the model group had elevated levels of ROS， MDA， and tissue iron content （P<0.01）， along with increased fluorescence intensity and mRNA expression of ACSL4 （P<0.01）. Compared with the model group and Buyang Huanwutang + inhibitor group， the Buyang Huanwutang group showed significantly improved BBB scores （P<0.05， P<0.01） and exhibited less severe spinal cord tissue damage， reduced edema and inflammatory cell infiltration， increased neuronal survival， and more intact myelin structures. Additionally， mitochondrial ultrastructure was significantly improved in the Buyang Huanwutang group. Compared to the model group and Buyang Huanwutang + inhibitor group， the Buyang Huanwutang group significantly increased the number of NeuN-positive cells and the fluorescence intensity of MBP （P<0.05， P<0.01）. Furthermore， Buyang Huanwutang significantly increased the fluorescence intensity and mRNA expression of GPX4 （P<0.01） and decreased the fluorescence intensity and mRNA expression of ACSL4 （P<0.01） compared to the model group and Buyang Huanwutang + inhibitor group. Finally， the Buyang Huanwutang group significantly decreased ROS， MDA， and tissue iron content （P<0.01） and significantly increased GSH and SOD levels （P<0.01） compared to the model group and Buyang Huanwutang + inhibitor group. ConclusionBuyang Huanwutang inhibits ferroptosis through the GPX4/ACSL4 axis， reduces secondary neuronal and myelin injury and oxidative stress， and ultimately promotes the recovery of neurological function.

Objective:To evaluate the clinical value of peripheral blood monocyte subset analysis in the diagnosis and treatment of chronic myelomonocytic leukemia (CMML) .Method:We retrospectively enrolled 51 patients newly diagnosed with CMML at Guangdong Provincial People's Hospital between June 1, 2020, and December 31, 2024, according to the WHO 2022 diagnostic criteria. Twenty-three patients with other myeloid neoplasms (excluding CMML) and peripheral monocytosis (absolute count ≥0.5×10 9/L and percentage ≥10%) were included as the control group. All patients underwent bone marrow aspiration for examinations including bone marrow smears, biopsies, cytogenetics, and gene mutation analysis to establish a definitive diagnosis. Concurrently, flow cytometry was used to determine the proportions of peripheral blood monocyte subsets: classical (MO1, CD14 +CD16 -) , intermediate (MO2, CD14 +CD16 +) , and non-classical (MO3, CD14 lowCD16 +) . Differences between the groups were compared, and diagnostic efficacy was evaluated using receiver operating characteristic (ROC) curves. Result:Among the 51 CMML patients, the proportion of the peripheral blood MO1 subset was significantly higher than that in patients with other myeloid neoplasms ( P=0.027) , whereas there were no significant differences in the MO2 and MO3 subsets (all P>0.05) . Further analysis revealed that 43 (84.31%) of the CMML patients met the WHO diagnostic threshold for the MO1 subset (≥94%) , while the remaining 8 patients did not; 46 patients (90.20%) had MO3 subset proportions below the threshold proposed by Hudson (≤1.13%) , while the remaining 5 patients were above this threshold. In-depth analysis showed that among the 8 patients who did not meet the WHO criteria, 7 were experiencing inflammation. Similarly, all 5 patients who did not meet the Hudson criteria were in an inflammatory state. Subsequent ROC curve analysis of this cohort identified a cut-off value for the MO1 subset of 97.55% [Area Under the Curve (AUC) =0.661, P=0.027], which aligns with the WHO criteria. Conclusion:Peripheral blood monocyte subset analysis, particularly MO1 subset analysis, can effectively assist in CMML diagnosis, but exclusion of inflammatory conditions is required.

Objective:To investigate the association between triglyceride glucose index (TyG) and early vascular aging measured by brachial ankle pulse wave velocity (baPWV) in young and middle-aged population.Methods:It was a cross-sectional study. A total of 5 680 subjects aged 20 to 59 years who underwent health check-ups at the Health Management Center of General Hospital of Tianjin Medical University from January to December in 2020 were selected as the research subjects. All the research subjects completed the health risk assessment questionnaire, physical examination, laboratory test, and multi-functional vascular lesion detection. The TyG was calculated and the research subjects were divided into four groups with the quartiles of TyG (Q 1 to Q 4, with a cut-off value of 8.22, 8.60 and 9.01, respectively). The baPWV value was converted into a Z-score, and those with a Z-score above the 95th percentile were defined as having early vascular aging. The Spearman correlation method, multiple linear regression model, binary logistic regression model and the area under the receiver operating characteristic curve (AUC) were used to analyze the association between TyG and early vascular aging. Results:Among the 5 680 middle-aged and young people included in the analysis, there were 3 117 males and 2 563 females, with an age of 46 (39, 52) years, a TyG of 8.60 (8.22, 9.01), and a baPWV of 1 279.25 (1 147.50, 1 434.25) cm/s. The prevalence rate of early vascular aging was 5.02% (285/5 680). Taking group Q 1 as the reference, in the multiple linear regression model adjusted for multiple factors, group Q 4 was significantly associated with a 47.64 (95% CI: 28.18-67.11) cm/s increase in baPWV ( P for trend<0.001). In the multivariate adjusted binary logistic regression model, compared with that in the Q 1 group, the OR of early vascular aging occurrence in the Q 2, Q 3, and Q 4 groups was 1.52 (95% CI: 0.75-3.07), 1.78 (95% CI: 0.89-3.58), and 3.04 (95% CI: 1.47-6.31), respectively. Elevated TyG level was positively correlated with the occurrence of early vascular aging ( P for trend<0.001). The AUC of TyG in predicting early vascular aging was 0.732 (95% CI: 0.704-0.759), with the optimal cut-off value being 8.86. The AUC of TyG in predicting early vascular aging in males was lower than that in females [0.665 (95% CI: 0.628-0.702) vs 0.796 (95% CI: 0.748-0.843)] ( P<0.001). Conclusions:There is a correlation between TyG and early vascular aging measured by baPWV in the middle-aged and young population. When TyG≥8.86, clinical intervention measures should be taken in a timely manner.

Objective:To analyze the effect of influenza vaccination on influenza cluster epidemic in primary and secondary schools in Beijing during the 2023-2024 surveillance season and provide evidence for the improvement of influenza vaccination strategies.Methods:The incidence data of influenza cluster epidemic and influenza vaccination coverage in the schools in Beijing during 2023-2024 were collected. Descriptive epidemiological methods were used to analyze cluster epidemic characteristics, and χ2 test was used to compare incidence differences between groups, and OR value and vaccine effectiveness [VE=(1- OR)×100%] were calculated. A negative binomial regression model was used to evaluate the association between school vaccination rates and cluster epidemic risk. Joinpoint regression was used to analyze trends in relative risk ( RR) with increasing vaccination coverage and to determine the optimal vaccination threshold. Results:A total of 126 influenza cluster epidemic were reported in 115 primary and secondary schools in Beijing during 2023-2024 with the median size of 15 case, the average attack rate was 36.26% (2 033/5 607). The epidemics mainly occurred in urban area (70, 55.56%). Primary schools were the main setting (78, 61.90%), and influenza A(H3N2) was the predominant subtype (108, 85.71%). The overall influenza vaccination coverage in the primary and secondary students was 54.26%, while the average vaccination in classes affected by the epidemics was 58.57%. The overall protection rate was 47.62%, the protection rate was higher in primary schools (49.65%) than in secondary schools (46.60%). The protection rates against influenza A(H1N1)pdm09 (80.93%) and influenza B (Victoria lineage) (81.65%) were significantly higher than that against influenza A(H3N2) (44.19%). When school vaccination coverage reached ≥76.00%, the epidemic risk decreased by 52.82%.Conclusions:Even the match between influenza vaccine strains and circulating strains is suboptimal, increasing influenza vaccination coverage in schools can effectively reduce the risk for influenza cluster epidemic. In the future, measures such as policy guidance and public health education should be taken to further improve vaccination coverage, thereby establishing herd immunity and reducing the transmission risk of influenza in schools.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.