OBJECTIVE To explore the antidepressant mechanism of Wenyang jieyu granules （WYJYG） via the NOD-like receptor thermal protein domain associated protein 3 （NLRP3）/apoptosis-associated speck-like protein containing a CARD （ASC）/Caspase-1 pathway. METHODS A rat model of depression was established by chronic unpredictable mild stress combined with single-housing for 42 consecutive days.The experiment set up blank group， model group， MCC950 （NLRP3 inflammasome inhibitor） group （10 mg/kg）， fluoxetine group （positive control，2.08 mg/kg），low-dose WYJYG（3.78 g/kg） and high-dose WYJYG group （7.56 g/kg），with 10 rats in each group. From the 22nd day of the experiment， rats in the fluoxetine group， low-dose and high-dose WYJYG groups were intragastrically administered with the corresponding drugs and intraperitoneally injected with an equal volume of normal saline. Rats in the MCC950 group were intraperitoneally injected with MCC950 at the corresponding concentration and intragastrically administered with an equal volume of distilled water. Rats in the blank group and model group were given an equal volume of distilled water by gavage and an equal volume of normal saline by intraperitoneal injection. All interventions were performed once a day for 21 consecutive days. Behavioral tests were conducted once a week. After the last administration， the contents of ASC， ionized calcium binding adaptor molecule 1 （Iba1）， interleukin-1β （IL-1β）， and IL-18 in hippocampal tissues were detected. The protein expressions of NLRP3， cluster of differentiation 68 （CD68）， Caspase-1， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein were determined， and neuronal apoptosis was observed. RESULTS After the last administration， compared with the model group， the open-field activity time was significantly prolonged （ P ＜0.05）， and the latency to feed in a novel environment was significantly shortened （ P ＜0.05） in rats of the high-dose WYJYG group. In hippocampal tissue， the contents of ASC， Iba1， IL-1β， and IL-18， as well as the protein expression levels of NLRP3， Caspase-1， and CD68， and the positive rate of neuronal apoptosis were all significantly decreased/downregulated （ P ＜0.05）. Bcl-2 protein expression was significantly upregulated （ P ＜0.05）， and the density of neuronal apoptosis-positive cells was significantly reduced （ P ＜0.05）. CONCLUSIONS WYJYG play on antidepressant role by inhibiting the NLRP3/ASC/Caspase-1 pathway， reducing microglia-mediated neuroinflammation， and inhibiting hippocampal neurons apoptosis.

ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

Aromatic Chinese medicinal essential oils are volatile oils extracted from aromatic Chinese herbs， which can prevent and treat respiratory infectious diseases through multiple synergistic mechanisms including pathogen inhibition， immune regulation， and inflammatory response regulation. Essential oils are primarily used externally on the body to prevent infections and alleviate symptoms through methods like inhalation， smearing， topical application， bathing， gargling or as a suppository. They can also be utilized in the environment for disinfection and air purification， through methods like diffusion， vaporization， or spraying. The external application of essential oils extracted from Chinese aromatic herbs has the advantages of convenience， quick absorption， and simultaneous influence on both the body and mind. However， there are still challenges and deficiencies in aspects such as the positioning of functions， indications， safety， and the research on the mechanism of action. It has been proposed to combine the theory of aromatic Chinese medicinals with the characteristics of essential oils， and formulate prescriptions of Chinese medicinal essential oils under the principles of traditional Chinese medicine syndrome differentiation， and prevent and treat respiratory infectious diseases efficiently， accurately， and safely， thereby expanding the clinical application of aromatic Chinese medicinals and the preventive theory of traditional Chinese medicine.

Abstract The mental health assessment work for students in the UK is based on mental health promotion theory, employing a multidimensional approach to evaluate emotional disorders, conduct disorders, hyperactivity disorders, and other aspects across the entire educational continuum from preschool to university. Utilizing international validated standardized scales and customized questionnaires, the system has demonstrated significant preventive efficacy against student mental health issues. China stands to gain valuable insights from the UKs experience, particularly in implementing the Special Action Plan for Comprehensively Strengthening and Improving Students Mental Health Work in the New Era (2023-2025). Strategic adaptation could involve expanding assessment populations, refining evaluation criteria, standardizing measurement tools, and strengthening implementation protocols to systematically enhance Chinas students mental health assessment framework.

Probiotics have shown excellent application prospects in preventing and treating many diseases. However, their sensitivity to the harsh environment in vivo always leads to a massive loss of viability and insufficient therapeutic effect. Fortunately, modified probiotics have emerged and provide multiple possibilities for their use in various diseases. Modification not only endows probiotics with extra capacity to resist severe environments but also gives them exogenous characteristics, such as prolonged retention time and improved therapeutic effects. Modified probiotics could combine with other therapies, which has opened up new avenues to enhance the efficacy of probiotic-based therapy. In this review, we have summarized the current physicochemical and biological modification strategies of probiotics. In addition, the progress of research on probiotic-based combination therapy has also been extensively reviewed, which contributes to the enhanced delivery of probiotics or other active constituents and provides new ideas for disease treatment, bioimaging, and diagnosis.

Diabetic cardiomyopathy (DCM) is a medical condition characterized by cardiac remodeling and dysfunction in individuals with diabetes mellitus. Sarcoplasmic reticulum (SR) and mitochondrial Ca²⁺ overload in cardiomyocytes have been recognized as biological hallmarks in DCM; however, the specific factors underlying these abnormalities remain largely unknown. In this study, we aimed to investigate the role of a cardiac-specific long noncoding RNA, D830005E20Rik (Trdn-as), in DCM. Our results revealed the remarkably upregulation of Trdn-as in the hearts of the DCM mice and cardiomyocytes treated with high glucose (HG). Knocking down Trdn-as in cardiac tissues significantly improved cardiac dysfunction and remodeling in the DCM mice. Conversely, Trdn-as overexpression resulted in cardiac damage resembling that observed in the DCM mice. At the cellular level, Trdn-as induced Ca²⁺ overload in the SR and mitochondria, leading to mitochondrial dysfunction. RNA-seq and bioinformatics analyses identified calsequestrin 2 (Casq2), a primary calcium-binding protein in the junctional SR, as a potential target of Trdn-as. Further investigations revealed that Trdn-as facilitated the recruitment of METTL14 to the Casq2 mRNA, thereby enhancing the m⁶A modification of Casq2. This modification increased the stability of Casq2 mRNA and subsequently led to increased protein expression. When Casq2 was knocked down, the promoting effects of Trdn-as on Ca²⁺ overload and mitochondrial damage were mitigated. These findings provide valuable insights into the pathogenesis of DCM and suggest Trdn-as as a potential therapeutic target for this condition.
Animals ; Diabetic Cardiomyopathies/pathology* ; RNA, Long Noncoding/genetics* ; Myocytes, Cardiac/metabolism* ; Mice ; Calsequestrin/genetics* ; Calcium/metabolism* ; Male ; Sarcoplasmic Reticulum/metabolism* ; Methyltransferases/metabolism* ; Mice, Inbred C57BL ; Mitochondria, Heart/metabolism* ; Disease Models, Animal ; Mitochondria/metabolism*

[Purpose]To analyze the trends of incidence and age at onset of leukemia in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of leukemia from 2009 to 2019 were collected from 16 cancer registries in Jiangsu Province.All datasets were checked and evaluated based on data quality control criteria and were included in the analysis.Crude incidence rate(CIR),age-standardized incidence rate by Chinese standard population(ASIRC),the average annual percentage change(AAPC),the standardized average age at onset,the changes in the age structure of incidence and the changes in the birth cohort by year were calculated.[Results]The incidence rate of leukemia significantly increased from 5.22/105 in 2009 to 7.88/105 in 2019,with a significant upward trend(for CIR,AAPC=4.95％,95％CI:3.82％～6.09％;for ASIRC,AAPC=2.97％,95％CI:1.52％～4.43％).The incidence rates were in-creased in all age groups and increased with the birth cohort by years.There was a tendency of backward shift for the age composition of the population,with the increasing of composition for those over 60 years old.The mean age at onset increased from 48.62 years old in 2009 to 57.96 years old in 2019,with a backward shift in the mean age(β=0.773,P＜0.001),and the mean age at onset increased with the year only in rural areas after standardization(β=0.428,P=0.017).[Conclusion]Leukemia incidence rate in Jiangsu Province increased from 2009 to 2019,and the age at onset has shifted backwards.It's important to strengthen the early prevention and control of leukemia.

Objective To explore the application effect of blood pressure management based on the health belief model in patients with moyamoya disease after cerebral vascular reconstruction sur-gery.Methods From February to July 2024,210 patients with moyamoya disease who underwent cerebral vascular reconstruction surgery in our hospital were selected as study subjects.They were randomly divided into control group and intervention group,with 105 cases in each group.The control group received routine nursing care,while the intervention group applied blood pressure management based on the health belief model on the basis of routine nursing care.The postoperative cerebral hy-perperfusion syndrome and blood pressure control status of the two groups were compared,and the Health Belief Scale and the Mishel Uncertainty in Illness Scale were used to evaluate the effects before and after intervention.Results A total of 203 patients completed the study,including 100 cases in the control group and 103 cases in the intervention group.There were statistically significant differ-ences in the incidence of cerebral hyperperfusion syndrome and the proportion of patients with blood pressure higher than baseline data between the two groups(P＜0.05).After the intervention,there were statistically significant differences in the postoperative cerebral hyperperfusion syndrome status and blood pressure control status between the two groups(P＜0.05).After intervention,there were statistically significant differences in the scores of susceptibility and health motivation dimensions as well as the total score in the Health Belief Scale between the intervention group and the control group(P＜0.05).After the intervention,there were statistically significant differences in the scores of ambiguity and unpredictability dimensions as well as the total score in the Mishel Uncertainty in Ill-ness Scale between the intervention group and the control group(P＜0.05).Conclusion Blood pressure management based on the health belief model can effectively control blood pressure,reduce the incidence of cerebral hyperperfusion,improve health beliefs,and reduce the sense of uncertainty about the disease.

Objective To investigate lymphocyte interstitial infiltration condition and the changes of immune checkpoint gene expression in different stages of early esophageal cancer.Methods A ret-rospective analysis was conducted on the clinical data of 90 patients with early esophageal cancer.Based on the pathological depth of infiltration,they were divided into three types:T1a-M1,T1a-M2,and T1a-M3,with 30 cases in each type.Additionally,30 cases of paired normal mucosa tissues adja-cent to the cancer were selected.Hematoxylin-eosin(HE)staining was used to observe tissue morpholo-gy.Immunohistochemistry was employed to detect the expression of CD3,CD4,CD8,and CD20.Real-time fluorescence quantitative polymerase chain reaction(RT-qPCR)was applied to measure the mRNA expression levels of immune checkpoint genes[programmed death ligand-1(PD-L1),cytotoxic T-lym-phocyte-associated protein 4(CTLA4),T-cell immunoglobulin and mucin domain-3(TIM-3),lympho-cyte activation gene 3(LAG3),programmed death receptor-1(PD-1),programmed death ligand-2(PD-L2),and T-cell immunoreceptor with Ig and ITIM domains protein(TIGIT)].Results As the stage of early esophageal cancer progressed,the ratio of tumor cells to lymphocytes increased.The number of CD3+T cells was greater than that of CD20+B cells,and the proportion of CD4+T cells among total T cells was higher than that of CD8+T cells(P＜0.001).The mRNA expression levels of gene in immune checkpoints in patients were elevated(P＜0.05).Compared with normal adja-cent tissues,the expression levels of PD-L1 mRNA,CTLA4 mRNA,TIM-3 mRNA,PD-1 mRNA,and TIGIT mRNA were elevated in patients with T1a-M1,T1a-M2,and T1a-M3 types(P＜0.05).Compared with normal adjacent tissues,the expression levels of LAG3 mRNA and PD-L2 mRNA were increased in patients with T1a-M2 and T1a-M3 types(P＜0.05).Conclusion The progres-sion of early esophageal cancer staging is correlated with increased immune checkpoint gene expres-sion and a decreased lymphocyte ratio,suggesting that changes in the immune microenvironment may be involved in tumor progression.

Objective : To construct triggering receptor expressed on myeloid cells 2(TREM2) gene knockout(TREM2-/-) mice using CRISPR/Cas9 technology, to breed TREM2-/- mice and to analyze the genotype of TREM2-/- mice. Methods : CRISPR/Cas9 technology was used to selectively knock out exon 2-3 regions of TREM2 gene to construct a TREM2-/- mouse model, and the genetic background of all mice was C57BL/6J. Polymerase chain reaction(PCR) was used to identify the genotype of mice. Quantitative real-time PCR(qPCR) and Western blot were used to detect the expression level of TREM2 in major tissues of mice, and the authenticity and scientific nature of PCR identification results were verified from mRNA level and protein level. According to the sgRNA sequence, the possible off-target sites were predicted on the CCTop website, and the tail DNA of mice was extracted and amplified by PCR and then Sanger sequencing was performed to detect whether there was off-target effect in TREM2-/- mice. Results : TREM2-/- mice were successfully constructed by CRISPR/Cas9 technology, and the mice were genotyped. The results of agarose gel electrophoresis showed that the mouse genotype with only 415 bp band amplified was wild type(WT), the mouse genotype of the 449 bp band amplified only was TREM2-/-, and the mouse genotypes amplified with 415 bp and 449 bp double bands were heterozygous. qPCR results showed that compared with WT mice, the mRNA expression of TREM2 in heart and brain tissues of TREM2-/- mice was down-regulated(P-/- mice was reduced(P-/- mice. Conclusion TREM2-/- mice are successfully constructed and bred, a reliable genotype identification method is established, the genetic stability of the mouse model is verified, which will provide an important genetic animal model for the study of TREM2 gene function.