While cranial radiotherapy effectively kills tumor cells and significantly prolongs patient survival, it often leads to progressive cognitive decline. To date, the specific mechanisms underlying radiation-induced cognitive decline have not been fully elucidated, which greatly limits the development of related therapeutic strategies. Therefore, this article provides a comprehensive analysis of post-radiation changes in neurogenesis, neuronal synaptic plasticity, myelin injury plasticity, and parenchymal cells such as microglia in the brain, systematically elucidates the potential mechanisms of radiation-induced cognitive decline, and summarizes feasible therapeutic approaches. These findings provide a solid foundation for developing novel strategies to mitigate radiation-induced cognitive decline.

The gut microbiota is regarded as the "eighth organ" of the human body and plays a critical regulatory role in the occurrence and progression of various diseases. Ulcerative colitis （UC） is a chronic inflammatory bowel disease with a complex etiology and a tendency toward recurrent episodes. In recent years， studies have shown that gut microbiota dysbiosis plays a key role in its pathological processes. Meanwhile， an increasing number of studies have demonstrated that imbalances in the gut microbiota and abnormalities in its metabolites are closely associated with the development of atrial fibrillation （AF）. Although UC and AF belong to diseases of the digestive system and cardiovascular system， respectively， both exhibit systemic inflammatory characteristics and are often accompanied by gut microbiota dysregulation and abnormal metabolic products. However， systematic investigations into the mechanisms by which gut microbiota-derived metabolites act in these two diseases remain limited. Based on this， the present study adopts literature review and theoretical analysis methods， taking the "gut microbiota-gut-heart" axis as the entry point， to systematically summarize the signaling networks of three key classes of metabolites， i.e.， short-chain fatty acids （SCFAs）， bile acids （BAs）， and trimethylamine N-oxide （TMAO）， in the comorbidity mechanism of UC and AF. The findings indicate that these metabolites may activate key inflammatory pathways， such as NF-κB and NLRP3， thereby synergistically mediating intestinal barrier dysfunction and systemic inflammation and constructing a potential comorbidity network. On this basis， potential intervention strategies for the treatment of UC-AF comorbidity， including probiotic intervention and fecal microbiota transplantation， are further discussed. This study aims to provide new theoretical evidence and research perspectives for prevention and treatment strategies of cross-system diseases.

ObjectiveTo explore the effect of tele-supervised home-based pulmonary music therapy on respiratory function, exercise capacity and clinical symptoms in patients with chronic obstructive pulmonary disease (COPD). MethodsA total of 96 COPD patients admitted to the Second People's Hospital of Lianyungang from January, 2023 to June, 2024 were selected. They were divided into control group and observation group (48 cases each) using block randomization combined with a random number table. The control group received routine treatment and nursing intervention, while the observation group added tele-supervised home-based pulmonary music therapy, for six months. Evaluations were conducted before intervention and one, three and six months after intervention. ResultsThree cases in the control group and two in the observation group dropped out. Compared to the control group, the observation group was better in forced expiratory volume in one second percentage of predicted (FEV₁%) level six months after intervention (χ² = 10.481, P < 0.001), maximal inspiratory pressure three months (Z = -2.045, P = 0.044) and six months (Z = -3.643, P = 0.033) after intervention, maximal expiratory pressure three months (Z = 2.111, P = 0.036) and six months (Z = 4.025, P < 0.001) after intervention, exercise capacity one month (t = 2.266, P = 0.028), three months (t = 3.943, P = 0.028) and six months (t = 6.703, P < 0.001) after intervention, fatigue scores three months (Z = -4.352, P < 0.001) and six months (Z = -5.718, P < 0.001) after intervention, clinical symptoms three months (t = -2.698, P = 0.007) and six months (t = -2.898, P = 0.003) after intervention, and clinical control levels three months (t = -3.402, P < 0.001) and six months (t = -5.036, P < 0.001) after intervention. ConclusionTele-supervised home-based pulmonary music therapy is beneficial in improving respiratory function, exercise capacity, fatigue, clinical symptoms and clinical control levels in patients with COPD.

ObjectiveTo explore the effect of tele-supervised home-based pulmonary music therapy on respiratory function, exercise capacity and clinical symptoms in patients with chronic obstructive pulmonary disease (COPD). MethodsA total of 96 COPD patients admitted to the Second People's Hospital of Lianyungang from January, 2023 to June, 2024 were selected. They were divided into control group and observation group (48 cases each) using block randomization combined with a random number table. The control group received routine treatment and nursing intervention, while the observation group added tele-supervised home-based pulmonary music therapy, for six months. Evaluations were conducted before intervention and one, three and six months after intervention. ResultsThree cases in the control group and two in the observation group dropped out. Compared to the control group, the observation group was better in forced expiratory volume in one second percentage of predicted (FEV₁%) level six months after intervention (χ² = 10.481, P < 0.001), maximal inspiratory pressure three months (Z = -2.045, P = 0.044) and six months (Z = -3.643, P = 0.033) after intervention, maximal expiratory pressure three months (Z = 2.111, P = 0.036) and six months (Z = 4.025, P < 0.001) after intervention, exercise capacity one month (t = 2.266, P = 0.028), three months (t = 3.943, P = 0.028) and six months (t = 6.703, P < 0.001) after intervention, fatigue scores three months (Z = -4.352, P < 0.001) and six months (Z = -5.718, P < 0.001) after intervention, clinical symptoms three months (t = -2.698, P = 0.007) and six months (t = -2.898, P = 0.003) after intervention, and clinical control levels three months (t = -3.402, P < 0.001) and six months (t = -5.036, P < 0.001) after intervention. ConclusionTele-supervised home-based pulmonary music therapy is beneficial in improving respiratory function, exercise capacity, fatigue, clinical symptoms and clinical control levels in patients with COPD.

ObjectiveTo explore the effect of tele-supervised home-based pulmonary music therapy on respiratory function, exercise capacity and clinical symptoms in patients with chronic obstructive pulmonary disease (COPD). MethodsA total of 96 COPD patients admitted to the Second People's Hospital of Lianyungang from January, 2023 to June, 2024 were selected. They were divided into control group and observation group (48 cases each) using block randomization combined with a random number table. The control group received routine treatment and nursing intervention, while the observation group added tele-supervised home-based pulmonary music therapy, for six months. Evaluations were conducted before intervention and one, three and six months after intervention. ResultsThree cases in the control group and two in the observation group dropped out. Compared to the control group, the observation group was better in forced expiratory volume in one second percentage of predicted (FEV₁%) level six months after intervention (χ² = 10.481, P < 0.001), maximal inspiratory pressure three months (Z = -2.045, P = 0.044) and six months (Z = -3.643, P = 0.033) after intervention, maximal expiratory pressure three months (Z = 2.111, P = 0.036) and six months (Z = 4.025, P < 0.001) after intervention, exercise capacity one month (t = 2.266, P = 0.028), three months (t = 3.943, P = 0.028) and six months (t = 6.703, P < 0.001) after intervention, fatigue scores three months (Z = -4.352, P < 0.001) and six months (Z = -5.718, P < 0.001) after intervention, clinical symptoms three months (t = -2.698, P = 0.007) and six months (t = -2.898, P = 0.003) after intervention, and clinical control levels three months (t = -3.402, P < 0.001) and six months (t = -5.036, P < 0.001) after intervention. ConclusionTele-supervised home-based pulmonary music therapy is beneficial in improving respiratory function, exercise capacity, fatigue, clinical symptoms and clinical control levels in patients with COPD.

Objective To investigate alterations in serum NOV/CCN3 levels among women during mid-to-late pregnancy and elucidate its association with gestational diabetes mellitus(GDM)and pregnancy outcomes.Methods Based on the results of an oral glucose tolerance test(OGTT),we categorized 252 pregnant women into two groups:the GDM group and the control group.Within the GDM group,participants were further stratified based on pre-pregnancy body mass index levels and pregnancy outcomes.We collected clinical data for all study subjects and compared differences in general information,biochemical indicators,as well as NOV/CCN3 levels between these groups.Results The serum levels of NOV/CCN3 in the GDM group were significantly higher compared to those in the control group(P<0.001).Spearman correlation analysis revealed a positive association between serum NOV/CCN3 and pre-pregnancy body weight,pre-pregnancy body mass index,insulin resistance index,and total cholesterol;while a negative correlation was observed with insulin sensitivity index(P<0.05).Logistic regression analysis demonstrated that NOV/CCN3 is an independent risk factor for the development of GDM[OR=1.097,95%CI(1.020～1.179),P=0.013],as well as adverse pregnancy outcomes in GDM patients[OR=1.032,95%CI(1.020～1.045),P<0.001].ROC analysis indicated AUCs of 0.840 and 0.784 for these associations respectively(P<0.05).Conclusions Serum levels of NOV/CCN3 in pregnant women at mid-to late-stage are associated with obesity,insulin resistance,and glucose-lipid metabolism,suggesting a potential role of NOV/CCN3 in glycolipid metabolism during gestational diabetes mellitus(GDM).These findings provide novel insights for assessing the occurrence of GDM and predicting pregnancy outcomes in mid-to late-stage pregnancies.

This study aims to understand the biological characteristics of Streptococcus dysgalacti-ae of yak origin.Bacterial isolation and identification,drug susceptibility test,virulence gene test and pathogenicity test were carried out on milk samples of yaks from Naqu City to evaluate the bi-ological characteristics of the isolated strains.Meanwhile,molecular biological information such as virulence factors and drug resistance genes were analyzed by whole genome sequencing,and viru-lence genes were verified by PCR.The results showed that a strain of Streptococcus dysgalactiae was isolated from the milk of yak,and its colony morphology was pinpoint size,smooth edge and milky white.This strain is sensitive to many antibiotics(penicillin G,cephalosporin,ciprofloxacin,tetracycline,erythromycin,etc.).Virulence gene test results showed that the strain carries six key virulence genes(cyl,eno,scpB,bca,bac and napr),which may be closely related to its pathoge-nicity.In the pathogenicity test,the mice were listless and less active after infection,but no death occurred during the observation period.The pathological changes of spleen,kidney,liver and lung tissue were found,suggesting that the strain had certain pathogenic potential but not high lethali-ty.Whole genome sequencing data showed that the gene length of this strain was 4 079 280 bp,the GC content was 39.41％,3 964 coding genes were predicted,604 of which were annotated as viru-lence factors,and another 28 gene mutations may enhance its pathogenic ability.Through annota-tion of CARD database,two Pat A resistance genes and two lmrp resistance genes were found,re-vealing their potential resistance mechanism.Through whole genome sequencing technology and bioinformatics analysis method,this study revealed the genomic characteristics,drug resistance and pathogenicity mechanism of Streptococcus dysgalactiae of yak origin.The findings provide impor-tant scientific evidence for further exploration of the pathogenicity,drug resistance mechanisms,and molecular evolution of yak-derived Streptococcus agalactiae.

Left ventricular hypertrophy(LVH)is one of the common target organ damage of hypertension."Yang leading to qi and yin leading to formation"is the basic form of human material and energy metabolism and disease development.The pathogenesis of hypertension LVH is inseparable from the imbalance of yin and yang.The deficiency of"yang leading to qi"leads to the decline of zang-fu function,deficiency of qi and blood,and the excess of"yin leading to formation"leads to the accumulation of pathological products such as phlegm and fluid,both of which are important pathogenesis of hypertensive LVH.Hypertensive LVH can be seen at the beginning of yin deficiency and yang hyperactivity,liver hyperactivity and wind movement,qi and blood deficiency,and later yin and yang deficiency,phlegm and blood stasis interjunction and other symptoms.In the treatment of hypertensive LVH,the early stage should be based on nourishing yin and extinguishing wind,regulating qi and blood,and the later stage should be based on supplementing yin and yang,expelling phlegm and promoting blood,so as to improve the clinical efficacy of TCM treatment of this disease.

Objective To analyze risk factors of hypokalemia after treatment with piperacillin-tazobactam(PTZ)and to provide a reference for safe clinical medication.Methods A retrospective collection of 1 355 inpatients treated with PTZ was conducted.Patients were assigned to the hypokalemia group(serum potassium<3.5 mmol/L,374 cases)and the non-hypokalemia group(serum potassium≥3.5 mmol/L,981 cases)based on whether they suffered from hypokalemia after PTZ treatment.Clinical data were collected and compared in both groups of patients.Multifactorial Logistic regression analysis was used to identify the influencing factors of hypokalemia induced by PTZ.Results In the hypokalemia group,there were 308 cases of mild hypokalemia(82.3%),63 cases of moderate hypokalemia and 3 cases of severe hypokalemia.The incidence of moderate to severe hypokalemia was 4.9%,with the lowest serum potassium concentration recorded at 2.1 mmol/L.The proportion of females,treatment duration,cumulative dosage,age-adjusted Charlson Comorbidity Index(aCCI),the percentage of patients with platelets(PLT)<100×109/L and the proportion of patients using glucocorticoids were all higher in the hypokalemia group than those of the non-hypokalemia group(P＜0.05).Conversely,baseline serum potassium levels and red blood cell(RBC)were lower in the hypokalemia group than those of the non-hypokalemia group(P＜0.05).Multivariate Logistic regression analysis indicated that female,increased cumulative dosage,elevated aCCI and lower baseline serum potassium concentration were risk factors for PTZ induced hypokalemia(P＜0.05).Conclusion Female,lower basline serum potassium level,long-term high-dose use of PTZ and high comorbidity index are risk factors for the occurrence of PTZ-induced hypokalemia.The changes in serum potassium during the medication period of this type of patients should be closely monitored to ensure the safety of drug use for patients.

Objective To explore the value of MRI radiomics based on the frontal and temporal lobes combined with multiple machine learning algorithms in the diagnosis of mild cognitive impairment(MCI).Methods Patients who underwent cranial MR examination were retrospectively selected.According to the inclusion and exclusion criteria,a total of 173 subjects were finally included and randomly divided into training set and test set in a ratio of 7∶3.After delineating the regions of interest(ROI)of the frontal and temporal lobes on T2-fluid attenuated inversion recovery(FLAIR)images,radiomics features were extracted based on the Pyradiomics data package.Features were screened through inter-and intraclass correlation coefficient(ICC),independent samples t-test,and the LightGBM algorithm.Diagnostic models were constructed using support vector machine(SVM),random forest(RF),decision tree(DT),K-nearest neighbor(KNN),gradient boosting decision tree(GBDT),and extreme gradient boosting(XGBoost)combined with 10-fold cross-validation respectively.The training set was further divided into 9 training data sets and 1 validation data set through 10-fold cross-validation,and the hyperparameters were optimized through iterative cycles.The diagnostic efficacy of the model was evaluated by receiver operating characteristic(ROC)curve and area under the curve(AUC),and the DeLong test was applied to compare the differences between different models.Results The AUC of the radiomics models constructed by SVM,DT,RF,KNN,GBDT,XGBoost in the training set were 0.951,0.992,0.998,0.957,1.000,and 1.000 respectively,in the validation set were 0.890,0.843,0.934,0.878,0.930,and 0.945 respectively,and in the test set were 0.902,0.711,0.899,0.849,0.889,and 0.882 respectively.Conclusion MRI radiomics based on the frontal and temporal lobes combined with multiple machine learning algorithms can diagnose MCI,and the model constructed based on SVM shows the highest diagnostic value.