Objective To investigate the effects and mechanisms of high-fat diet(HFD)-induced obesity on male ze-brafish reproductive function.Methods Adult male zebrafish were divided into normal diet(ND)group and HFD group.Growth and metabolic conditions were evaluated by measuring body weight,body length,BMI,organ index,and glucose/lipid lev-els.Reproductive capacity was assessed via sperm concentration,motility,fertilization rate,and testosterone levels.Testicular tissues from both of groups were subjected to transeriptomic sequencing(RNA-seq).And qRT-PCR was used to validate the expression of genes.Results Compared to male zebrafish in ND group,the ones in HFD group exhibited hepatic steatosis and glucose/lipid meta-bolic disorders(P＜0.05).Testicular structural disorganization,along with reduced testosterone levels,decreased gonadosomatic in-dex,and impaired sperm concentration and motility occurred in HFD group(P＜0.05).GO analysis revealed that differentially ex-pressed genes were enriched in spermatogenesis and ciliary system,while KEGG analysis highlighted metabolic related pathways(pu-rine metabolism,thyroid hormone synthesis,mTOR signaling)and cell adhesion molecules.Twenty key differentially expressed genes were validated by qRT-PCR,which confirmed the reliability of RNA-Seq results.Conclusion Impairment of reproductive function induced by HFD in zebrafish may be associated with three regulatory mechanisms including ciliary system,metabolic dysregulation,and aberrant cell adhesion molecule signaling.This study provides mechanistic insights and identifies potential therapeutic targets for clinical management of diet-associated infertility.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

Objective To investigate the effects and mechanisms of high-fat diet(HFD)-induced obesity on male ze-brafish reproductive function.Methods Adult male zebrafish were divided into normal diet(ND)group and HFD group.Growth and metabolic conditions were evaluated by measuring body weight,body length,BMI,organ index,and glucose/lipid lev-els.Reproductive capacity was assessed via sperm concentration,motility,fertilization rate,and testosterone levels.Testicular tissues from both of groups were subjected to transeriptomic sequencing(RNA-seq).And qRT-PCR was used to validate the expression of genes.Results Compared to male zebrafish in ND group,the ones in HFD group exhibited hepatic steatosis and glucose/lipid meta-bolic disorders(P＜0.05).Testicular structural disorganization,along with reduced testosterone levels,decreased gonadosomatic in-dex,and impaired sperm concentration and motility occurred in HFD group(P＜0.05).GO analysis revealed that differentially ex-pressed genes were enriched in spermatogenesis and ciliary system,while KEGG analysis highlighted metabolic related pathways(pu-rine metabolism,thyroid hormone synthesis,mTOR signaling)and cell adhesion molecules.Twenty key differentially expressed genes were validated by qRT-PCR,which confirmed the reliability of RNA-Seq results.Conclusion Impairment of reproductive function induced by HFD in zebrafish may be associated with three regulatory mechanisms including ciliary system,metabolic dysregulation,and aberrant cell adhesion molecule signaling.This study provides mechanistic insights and identifies potential therapeutic targets for clinical management of diet-associated infertility.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Objective To investigate factors influencing the occurrence of early haematoma expansion(HE)in patients with spontaneous intracerebral hemorrhage(sICH),to develop a predictive model and evaluate its predictive efficacy.Methods A retrospective cohort of 238 patients with sICH,admitted to General Hospital of Western Theater Command between January 2017 and December 2022,was analyzed.Patients were categorized into two groups based on the criteria of HE exceeding 33%in relative volume or 6 ml in absolute volume:HE group(n=62)and non-haematoma expansion(NHE)group(n=176).Clinical characteristics,laboratory findings,Non-contrast Computed Tomography(NCCT)imaging,and Glasgow Coma Scale(GCS)scores were compared between the two groups.Multifactorial logistic regression analysis was employed to identify risk factors for HE and to model the probability of its occurrence.The R language rms package was utilized to construct a nomogram model for predicting HE in sICH patients,Additionally,the related clinical,NCCT,and GCS models were constructed.The predictive efficacy of each model for HE in sICH patients was evaluated using area under Receive Operative Characteristic(ROC)curve(AUC),and the clinical application value of each model was assessed using accuracy,sensitivity,specificity,and Jordon's index.The Delong test was applied to analyze differences in the predictive values of the models.Results Significant differences in satellite sign,vortex sign,and history of anticoagulant treatment were observed between two groups(P<0.05).Multifactorial logistic regression analysis revealed independent risk factors for HE in sICH patients,including the first CT examination time,homogeneity,history of anticoagulant medication,volume,maximal diameter,hypodensity sign,island sign,satellite sign,and vortex sign(P<0.05).The AUCs for the constructed clinical model,NCCT model,GCS model and nomogram model in predicting the occurrence of HE in sICH patients were 0.672,0.706,0.518 and 0.754,respectively.The nomogram model demonstrated higher accuracy,sensitivity,Jordon's index and AUC compared with those in the clinical and NCTT models.Conclusions The first CT examination time,homogeneity,history of anticoagulant treatment,volume,maximum diameter,hypodensity sign,island sign,satellite sign,and vortex sign are independent predictors of early HE in sICH patients.The nomogram model,constructed with the above parameters,demonstrated high predictive efficacy for HE and holds potential for clinical application.

Objective To evaluate the interventional effects of virtual reality(VR)on cancer patients in pain,anxiety,cognitive function,upper limb function and quality of life.Methods Randomised controlled trials(RCTs)using VR technology on cancer patients were retrieved from databases of CNKI,Wanfang Database,SinoMed,VIP,PubMed,Web of Science,Embase,PsycINFO and Cochrane Library,from the inception of the databases to March 2023.Two reviewers independently examined and screened the literatures,followed by evaluation of the quality and extraction of relevant themes.Meta-analysis was conducted by using RevMan 5.3 to analyse the acquired data.Results A total of 9 RCTs involving 727 patients were included.The meta-analysis demonstrated that VR technology alleviated pain intensity in cancer patients[SMD=-1.31,95%CI(-1.96 to-0.66),P<0.001],relieved anxiety[SMD=-0.96,95%CI(-1.62 to-0.31),P=0.004],improved cognitive function[SMD=3.37,95%CI(1.74 to 5.00),P<0.001],and improved quality of life of cancer patients[SMD=0.67,95%CI(0.38 to 0.96),P<0.001].However,it posed unclear effect on upper limb function[SMD=-0.57,95%CI(-1.40 to 0.26),P=0.18].Conclusion VR technology shows potentials in alleviation of pain,reduction of anxiety and improvement of cognitive function and the quality of life in cancer patients,but it remains uncertain effect on upper limb function.However,due to heterogeneity in some of the results,more high-quality studies are required to validate the interventional effects of VR technology on cancer patients.

Diabetic kidney disease(DKD)is one of the most important complications of diabetes.In recent years,domestic and foreign studies have found that mammalian target protein of rapamycin(mTOR)related signaling pathway is a classic pathway involved in the regulation of autophagy,which can achieve the therapeutic effect of DKD by targeting the autophagy pathway,and plays a crucial role in the prevention and treatment of DKD.In this paper,we reviewed the mechanism of mTOR-related signaling pathway targeted autophagy in the prevention and treatment of DKD,in order to provide a new reference and basis for clinical prevention and treatment of DKD.