Objective: To explore the association of vegetables and fruits intake with depressive symptoms among multi ethnic first year junior high school students in Yunnan Province, so as to provide data support for preventing and reducing depressive symptoms among first year junior high school students. Methods: From October to December 2022, a cluster random sampling method was used to select 8 500 first year junior high school students from 11 ethnic minority areas in Yunnan Province (Fugong County, Longling County, Longyang District, Luchun County, Mojiang County, Nanjian County, Qiaojia County, Shuangjiang County, Tengchong City, Yuanmou County, Zhenyuan County), to investigate with a questionnaire. The Dietary Frequency Questionnaire was used to collect dietary behavior datas, and the Chinese version of Depression Anxiety Stress Scale-21 (DASS-21) was used to assess depressive symptoms. The generalized linear model was used to analyze the association of vegetable and fruit intake with depressive symptoms in students, and stratified analysis was performed according to ethnicity. Results: The detection rate of depressive symptoms among first year junior high school students in Yunnan Province was 29.5%. The detection rates of depressive symptoms in Han and minority first year junior high school students were 26.9% and 31.6%. After controlling for demographic variables such as gender, age, family residence and other confounding factors, the generalized linear model analysis results showed that the intake of leafy vegetables ( β= -0.07 , 95%CI =-0.12 to -0.01), flat fruits ( β=-0.06, 95%CI =-0.12 to -0.00) and hot natured fruits ( β=0.11, 95%CI = 0.04- 0.17) were associated with depressive symptoms in Han first year junior high school students (all P <0.05). The intake of melon and fruit vegetables ( β=-0.06, 95%CI =-0.11 to -0.01) and hot natured fruits ( β=0.06, 95%CI =0.01-0.12) were associated with depressive symptoms in ethnic minority first year junior high school students (both P <0.05). Conclusions The intake of vegetables and fruits among multi ethnic first year junior high school students in Yunnan Province is related to the risk of depressive symptoms. It is suggested to strengthen the consumption guidance and education of vegetables and fruits to prevent depressive symptoms among first year junior high school students.

Objective To explore the application of plasma 7 microRNA (miR7) testing in the differential diagnosis of very early-stage hepatocellular carcinoma (HCC). Methods This study is a multicenter real-world study. Patients with single hepatic lesion (maximum diameter≤2 cm) who underwent plasma miR7 testing at Zhongshan Hospital, Fudan University, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Anhui Provincial Hospital, and Peking University People’s Hospital between January 2019 and December 2024 were retrospectively enrolled. Patients were divided into very early-stage HCC group and non-HCC group, and the clinical pathological characteristics of the two groups were compared. The value of plasma miR7 levels, alpha-fetoprotein (AFP), and des-gamma-carboxy prothrombin (DCP) in the differential diagnosis of very early-stage HCC was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). In patients with both negative AFP and DCP (AFP＜20 ng/mL, DCP＜40 mAU/mL), the diagnostic value of plasma miR7 for very early-stage HCC was analyzed. Results A total of 64 528 patients from 4 hospitals underwent miR7 testing, and 1 682 were finally included, of which 1 073 were diagnosed with very early-stage HCC and 609 were diagnosed with non-HCC. The positive rate of miR7 in HCC patients was significantly higher than that in non-HCC patients (67.9% vs 24.3%, P＜0.001). ROC curves showed that the AUCs for miR7, AFP, and DCP in distinguishing HCC patients from the non-HCC individuals were 0.718, 0.682, and 0.642, respectively. The sensitivities were 67.85%, 43.71%, and 44.45%, and the specificities were 75.70%, 92.78%, and 83.91%, respectively. The pairwise comparison of AUCs showed that the diagnostic efficacy of plasma miR7 detection was significantly better than that of AFP or DCP (P＜0.05). Although its specificity was slightly lower than AFP and DCP, the sensitivity was significantly higher. Among patients negative for both AFP and DCP, miR7 maintained an AUC of 0.728 for diagnosing very early-stage HCC, with 67.82% sensitivity and 77.73% specificity. Conclusions Plasma miR7 testing is a potential molecular marker with high sensitivity and specificity for the differential diagnosis of small hepatic nodules. In patients with very early-stage HCC lacking effective molecular markers (negative for both AFP and DCP), miR7 can serve as a novel and effective molecular marker to assist diagnosis.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Objective To investigate the clinical characteristics of lower respiratory tract infections oc-currence and respiratory system prognosis in infantile stage of children patients with bronchopulmonary dys-plasia(BPD).Methods Fifty premature infants with lower respiratory tract infection and BPD treated in this hospital from March 2017 to December 2020 were selected as the BPD group and 50 preterm infants with low-er respiratory tract infection without BPD during the same period were selected as the non-BPD group.The clinical data and occurrence situation of respiratory system diseases within 3 years after birth in the two groups were collected and analyzed.Results Compared with the non-BPD group,the incidence rates of tachy-pnoea(48.0%vs.12.0%),wheeze(44.0%vs.10.0%),wheezing rale(44.0%vs.10.0%),three concave sign(28.0%vs.8.0%),cyanosis(20.0%vs.4.0%),severe pneumonia(48.0%vs.12.0%)and respirato-ry failure(20.0%vs.4.0%)in the BPD group were higher,the hospitalization duration[7.5(7.0,10.0)d vs.7.0(6.0,7.0)d]was longer,the reaching peak time ratio[18.20%(14.65%,22.25%)vs.24.85%(19.55%,32.78%)],the reaching peak volume ratio[22.15%(19.43%,23.83%)vs.25.65%(22.40%,34.90%)]and the inspiratory/expiratory ratio(0.70±0.12 vs.0.76±0.11)were lower,the 3-year total lower respiratory tract infection times[5.0(4.0,10.0)times vs.3.0(2.0,5.0)times],wheeze times[2.0(1.0,4.0)times vs.0.5(0,1.0)times],the hospitalization times[3.00(2.00,5.00)times vs.2.00(1.00,2.00)times],severe pneumonia times[2.0(1.0,2.0)times vs.1.0(0,1.0)times]and wheeze times in differ-ent ages were more,total hospitalization duration[29.50(19.50,38.25)d vs.13.00(7.00,17.75)d]was lon-ger,the differences were statistically significant(P<0.05).Conclusion The children patients with BPD are prone to lower respiratory tract infections,especially 0-<1 years old,the proportion of severe pneumonia af-ter infection is higher and wheezing is easily to develop.

Aptamers are a class of short DNA/RNA single strand oligonucleotides that can bind to target molecules with high affinity specificity. They have the advantages of high affinity specificity, low molecular weight and low immunogenicity, and have been widely used in biomedical research, clinical diagnosis and therapy, and biosensor development. Systematic evolution of ligand by exponential enrichment (SELEX) is an in vitro screening technique, which enriches the aptamers with high affinity and specific binding to the target through multiple cycles of screening, and has a wide range of applications in tumor therapy.

Objective To apply a multidimensional neonatal nutritional risk screening scale for hospitalized premature infants to explore its predictive value for extrauterine growth restriction(EUGR)at the time of discharge.Methods A total of 104 premature infants hospitalized in the Neonatal Department of the Second Affiliated Hospital of Kunming Medical University from January 2023 to September 2023 were selected as research subjects.Nutritional risk screening was conducted within 24 hours of admission and weekly thereafter using the multidimensional neonatal nutritional risk screening scale.Scoring was based on four dimensions(birth status,weight changes,nutritional intake methods,and disease diagnosis),with a total score of ≥ 8 indicating high risk;≥4 and＜8 indicating moderate risk;and＜4 indicating low risk.EUGR at the time of discharge was the primary clinical outcome indicator.Receiver operating characteristic(ROC)curves were constructed to explore the predictive value of neonatal nutritional risk screening for EUGR in premature infants.Results At discharge,40 premature infants(38.5％)experienced EUGR.The nutritional risk screening scores of the EUGR group on day 7 of hospitalization were higher than those of the non-EUGR group(P＜0.05).The rate of high nutritional risk on day 7 of hospitalization was highest(7.9％in the non-EUGR group,22％in the EUGR group,and 13.5％overall).On both day 1 and day 7 of hospitalization,the rate of high nutritional risk in the EUGR group was higher than that in the non-EUGR group(P＜0.05).There were significant differences in the nutritional risk screening scores on day 7,birth weight Z-scores,discharge corrected gestational age weight Z-scores,and serum albumin levels between the EUGR and non-EUGR groups(P＜0.05).ROC curves were plotted,yielding AUCs of 0.625(95％CI 0.514,0.736),0.652(95％CI 0.544,0.760),0.674(95％CI 0.561,0.786),and 0.641(95％CI 0.531,0.750),indicating certain predictive value.A combined predictive ROC model yielded an AUC of 0.786(95％CI 0.692,0.880)for EUGR,which was higher than the AUCs for individual indicators(P＜0.001).Conclusion The occurrence of EUGR is relatively common among hospitalized premature infants.The nutritional risk is highest during the first week of hospitalization.The multidimensional neonatal nutritional risk screening scale can dynamically assess nutritional risk during hospitalization and may serve as one of the early warning indicators for EUGR in premature infants.The predictive efficacy for EUGR is enhanced when combined with birth weight Z-scores,discharge weight Z-scores,and serum albumin,providing a basis for individualized nutritional management of premature infants.

Objective To systematically evaluate the risk factors for new-onset atrial fibrillation (NOAF) after off-pump coronary bypass grafting (OPCABG). Methods PubMed, EMbase, Web of Science, The Cochrane Library, Wanfang data, CBM, VIP, and CNKI databases were systematically searched by computer to collect studies related to the risk factors for NOAF after OPCABG from the establishment of the database to July 2023. Literature screening and quality evaluation were conducted independently by two researchers. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the literature. RevMan 5.3 and Stata15.0 were used for meta-analysis. Results Finally, 19 case-control studies related to the risk factors for NOAF after OPCABG were included, all of which were high-quality literature with NOS score≥6 points, with a total of 7019 subjects. The results of meta-analysis showed that the following factors were associated with NOAF after OPCABG: (1) the patient’s own factors: age (MD=3.51, 95%CI 2.39 to 4.63, P<0.01); (2) preoperative factors: history of hypertension (OR=1.17, 95%CI 1.04 to 1.32, P=0.01), history of myocardial infarction (OR=1.21, 95%CI 1.06 to 1.38, P<0.01), history of percutaneous coronary intervention (OR=2.22, 95%CI 1.03 to 4.77, P=0.04), EuroSCOREⅡ score (MD=0.59, 95%CI 0.25 to 0.94, P<0.01), low-density lipoprotein (MD=0.11, 95%CI 0.02 to 0.20, P=0.02), left atrial diameter (MD=1.64, 95%CI 0.24 to 3.04, P=0.02); (3) postoperative and treatment factors: left ventricular end-diastolic diameter (MD=1.16, 95%CI 0.33 to 1.99, P<0.01), left ventricular ejection fraction (MD=0.90, 95%CI 0.07 to 1.73, P=0.03), mechanical ventilation time (MD=2.78, 95%CI 1.65 to 3.90, P<0.01), B-type natriuretic peptide (MD=219.67, 95%CI 27.46 to 411.88, P=0.03), ICU retention time (MD=7.07, 95%CI 5.64 to 8.50, P<0.01). Conclusion The existing evidence shows that age, history of hypertension, history of myocardial infarction, history of percutaneous coronary intervention, preoperative EuroSCOREⅡscore, preoperative low-density lipoprotein, preoperative left atrial diameter, postoperative left ventricular end-diastolic diameter, postoperative left ventricular ejection fraction, postoperative mechanical ventilation time, postoperative B-type natriuretic peptide, and postoperative ICU retention time are risk factors for NOAF after OPCABG. Clinical attention should be paid to the above factors to achieve early identification, thereby reducing the incidence of NOAF after OPCABG and improving the clinical prognosis of patients.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Objective: To explore the association between processed food consumption and anxiety symptoms among college students in Yunnan Province, so as to provide a reference for the prevention and treatment of anxiety symptoms in this population. Methods: A cluster random sample of 2 515 first year students from two universities in Yunnan Province was selected to carry out a longitudinal investigation which included a baseline survey (November 2021, T1) and three follow up visits (June 2022, T2; November 2022, T3; June 2023, T4). The food frequency questionnaire was administered to assess processed food consumption, and the Depression Anxiety Stress Scale-21 (DASS-21, Chinese version) was used to evaluate anxiety symptoms. A generalized estimation equation model was used to analyze the relationship between processed food consumption and anxiety symptoms. Results: The detection rates of T1-T4 anxiety symptoms among college students in Yunnan Province were 29.70%, 36.70%, 37.69% and 38.73 %, respectively, and the corresponding anxiety symptom scores were 4(0,8), 4(0,10), 4(0,12), 2(0,14). After controlling for demographic variables and confounding factors in the generalized estimation equation model, a statistically significant association was found between consumption of carbonated beverages ( β=0.06, 95%CI =0.03-0.08), and other processed snacks ( β= 0.04 , 95%CI =0.01-0.07) ( P <0.05). The stratified analysis by gender showed that the consumption of carbonated beverages ( β=0.08, 95%CI =0.05-0.12) and fast food ( β=0.03, 95%CI =0.00-0.06) was significantly associated with anxiety symptoms in female college students ( P <0.05). There was no significant association between processed food consumption and anxiety symptoms in male college students ( P >0.05). Conclusions Processed food consumption by college students in Yunnan Province may increase the risk of anxiety symptoms, particularly among female students. There is a need to strengthen guidance in respect to processed food consumption, so as to prevent and treat anxiety symptoms.

Objective To construct a risk prediction score model for serious adverse event (SAE) after cardiac catheterization in patients with adult congenital heart disease (ACHD) and pulmonary hypertension (PH) and verify its predictive effect. Methods The patients with PH who underwent cardiac catheterization in Wuhan Asian Heart Hospital Affiliated to Wuhan University of Science and Technology from January 2018 to January 2022 were retrospectively collected. The patients were randomly divided into a model group and a validation group according to the order of admission. The model group was divided into a SAE group and a non-SAE group according to whether SAE occurred after the catheterization. The data of the two groups were compared, and the risk prediction score model was established according to the results of multivariate logistic regression analysis. The discrimination and calibration of the model were evaluated using the area under the receiver operating characteristic (ROC) curve and the Hosmer-Lemeshow test, respectively. Results A total of 758 patients were enrolled, including 240 (31.7%) males and 518 (68.3%) females, with a mean age of 43.1 (18.0-81.0) years. There were 530 patients in the model group (47 patients in the SAE group and 483 patients in the non-SAE group) and 228 patients in the validation group. Univariate analysis showed statistical differences in age, smoking history, valvular disease history, heart failure history, N-terminal pro-B-type natriuretic peptide, and other factors between the SAE and non-SAE groups (P<0.05). Multivariate analysis showed that age≥50 years, history of heart failure, moderate to severe congenital heart disease, moderate to severe PH, cardiac catheterization and treatment, surgical general anesthesia, and N-terminal pro-B-type natriuretic peptide≥126.65 pg/mL were risk factors for SAE after cardiac catheterization for ACHD-PH patients (P<0.05). The risk prediction score model had a total score of 0-139 points and patients who had a score>50 points were high-risk patients. Model validation results showed an area under the ROC curve of 0.937 (95%CI 0.897-0.976). Hosmer-Lemeshow goodness-of-fit test: χ2=3.847, P=0.797. Conclusion Age≥50 years, history of heart failure, moderate to severe congenital heart disease, moderate to severe PH, cardiac catheterization and treatment, general anesthesia for surgery, and N-terminal pro-B-type natriuretic peptide≥126.65 pg/mL were risk factors for SAE after cardiac catheterization for ACHD-PH patients. The risk prediction model based on these factors has a high predictive value and can be applied to the risk assessment of SAE after interventional therapy in ACHD-PH patients to help clinicians perform early intervention.