ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

BackgroundDepression is a prevalent emotional problem in adolescents， and parental psychological control is an important predictor of adolescent depression. However， existing research on the acting mechanism between the two is not adequate. ObjectiveTo explore the pathway of negative perfectionism and academic stress between parental psychological control and depressive symptoms among secondary school students， so as to provide references for reducing the incidence risk of depression in such population. MethodsFrom February to April 2023， 1 100 students across 2 middle schools and 2 high schools in Zhongshan city were selected as subjects. The survey was conducted adopting Parental Psychological Control Questionnaire， Chinese Frost Multidimensional Perfectionism Scale （CFMPS）， sense of academic stress subscale in Mental Health Inventory of Middle School Student （MMHI-60） and Center for Epidemiological Studies-Depression Scale （CES-D）. Spearman correlation analysis was adopted to examine the correlation between scores of all scales above， and Amos 24.0 was used to test the mediating path of negative perfectionism and academic stress between parental psychological control and depressive symptoms among secondary school students. ResultsAmong the 1 009 valid questionnaires withdrew （91.73% of the total）， 261 students were detected to have depressive symptoms （25.87%）. As the results of Spearman correlation analysis showed， the scores of the Parental Psychological Control Questionnaire， score of negative perfectionism dimension in CFMPS， score of sense of academic stress subscale in MMHI-60 and CES-D score were positively correlated with each other （r=0.323~0.644， P<0.05 or 0.01）. The direct effect value of parental psychological control on depressive symptoms in secondary school students was 0.128 （95% CI： 0.061~0.201）， accounting for 31.37% of the total effect. Negative perfectionism and academic stress played independently as intermediatory roles between parental psychological control and depressive symptoms in secondary school students， and the indirect effect values were 0.099 （95% CI： 0.068~0.133） and 0.100 （95% CI： 0.060~0.143）， accounting for 24.27% and 24.51% of the total effect， respectively. Negative perfectionism and academic stress acted combinedly as the chain effect pathway between parental psychological control and depressve symptoms in secondary school students， with the indirect effect value of 0.081 （95% CI： 0.060~0.106） accounting for 19.85% of the total effect. ConclusionParental psychological control can affect the depressive symptoms among secondary school students directly， and through independent or chain paths of negative perfectionism and academic stress indirectly. ［Funded by Zhongshan Social Welfare Technology Research Project （number， 2022B1060）］

Objective To understand the molecular epidemiological characteristics of Norovirus outbreaks and the genome evolution of Norovirus epidemic strains in Hainan Province from 2020 to 2022.Methods The information and samples have been collected from the norovirus outbreaks from 2020 to 2022.Norovirus was detected by using the real-time PCR in these samples,then the detected sequences were amplified the analyzed.The Norovirus se-quences of 8 strains had been amplified and analyzed.Results From 2020 to 2022,39 gastroenteritis outbreaks were reported,and 25 outbreaks caused by Norovirus which mainly occurred in childcare institutions and schools(20/25,80％).The Norovirus outbreaks were mainly concentrated in counties around Haikou(northeast),which including Ding'an(5 cases),Wenchang(4 cases),Chengmai(4 cases),and Lingao(3 cases);following by western regions which included Baisha(2 cases),Ledong(2 cases),and Dongfang(3 cases).1 case was in Wanning in the southeast.Among individuals aged 2-17,the positive proportion of Norovirus in males was higher than that in females.Among individuals aged over 55,the proportion of Norovirus positive in females was higher than that in males.The gender of positive samples among individuals aged 18-40 was related to their profession.According to RT-PCR typing and sequencing,GⅡ group Norovirus were classified in13 outbreaks.There were 4 genotypes detected.GⅡ.2[P1 6]was the main epidemic strain with 60％(9/13),and the other three genotypes were GⅡ.4 Sydney[P31](15.4％,2/13)GⅡ.4 Sydney[P16](7.7％,1/13)and GⅡ.3[P12](7.7％,1/13).Further genic analysis of 8 Norovirus strains showed that all of them were still in the same branch as the previ-ous strain,and all exhibited a certain amount of amino acid variation.Conclusion Norovirus is the main pathogen of gastroenteritis outbreaks in Hainan province,and the main epidemic strain is GⅡ.2[P16].It is necessary to continue to strengthen the monitoring that provides scientific evidence for the prevention and control of norovirus out-breaks in Hainan region.

BACKGROUND:The incidence of osteoporosis significantly increases in the patients with rheumatoid arthritis,and it remains unclear whether the presence of a large number of immune complexes in serum promotes the onset and development of osteoporosis. OBJECTIVE:To investigate the correlation between serum immune complexes and osteoporosis in patients with rheumatoid arthritis. METHODS:(1)Clinical trial:Serum and clinical data of 50 healthy controls and 50 patients with untreated rheumatoid arthritis were collected and retrospectively analyzed.Total immune complex level in serum was compared between two groups.Correlation of serum total immune complexes with bone mineral density,bone turnover markers and other clinical indicators in patients with rheumatoid arthritis was analyzed.(2)Cell experiment:Peripheral blood mononuclear cells from healthy volunteers were isolated and cultured,and divided into four groups:rheumatoid arthritis group was added with total immune complex suspension from rheumatoid arthritis patients;normal control group was added with total immune complex suspension from healthy medical checkups;positive control group was added with α-MEM medium containing macrophage colony-stimulating factor and receptor activator of nuclear factor-kappa B ligand,and negative control group was added with α-MEM medium.Tartrate-resistant acid phosphatase staining was performed to observe the formation of osteoclasts after 7 days of treatment, RESULTS AND CONCLUSION:(1)Clinical trial:The total immune complex and serum alkaline phosphatase levels in patients with rheumatoid arthritis were significantly higher than those in health controls(P＜0.01,P＜0.05).Pearson correlation analysis showed that serum total immune complex level was positively correlated with erythrocyte sedimentation rate(r=0.330,P=0.019),serum alkaline phosphatase(r=0.545,P=0.001),anti-cyclic citrullinate peptide(r=0.377,P=0.007)and c-terminal telopeptide of type Ⅰ collagen(r=0.738,P=0.001),and negatively correlated with lumbar bone mineral density(r=-0.595,P=0.001)in patients with rheumatoid arthritis.Binary Logistic regression analysis showed that age[odds ratio(OR)=1.086,95%confidence interval(CI)(1.022,1.154),P=0.008],anti-cyclic citrullinate peptide[OR=1.002,95%CI(0.999,1.005),P=0.035],c-terminal telopeptide of type Ⅰ collagen[OR=0.141,95%CI(0.015,8.900),P=0.008]and serum total immune complexes[OR=2.895,95%CI(1.228,6.827),P=0.001]were the influencing factors for abnormal bone mass(reduced bone mass or osteoporosis)in patients with rheumatoid arthritis.(2)Cell experiment:Tartrate-resistant acid phosphatase positive osteoclasts were observed in the positive control group,normal control group and rheumatoid arthritis group,and there were more osteoclasts in the rheumatoid arthritis group than in the normal control group(P＜0.01).To conclude,serum total immune complexes can be used as a potential serologic predictor of rheumatoid arthritis complicated with osteoporosis,and removing immune complexes in serum or interfering with the binding of immune complexes to their receptors may be an effective means for the prevention and treatment of rheumatoid arthritis complicated with osteoporosis.

Objective:To compare the effects of different test meals on postprandial triglycerides and to optimize the standard meal composition and the blood sampling protocol for the oral fat tolerance test.Methods:This study is a prospective, open-label, randomized, cross-over trial. In March 2023, 36 volunteers were recruited in Hebei General Hospital. They underwent a health examination and oral glucose tolerance test. Twenty-six healthy volunteers(11 males and 15 females) were included in this study, with an average age of(39.08±4.56) years. Each volunteer received 75 g protein meal, 75 g fat meal, 700 kcal fixed-calorie high-fat mixed meal, and a high-fat mixed meal with energy adjusted based on 10 kcal/kg body weight. A one-week washout period of regular diet was applied before each trial. Blood was collected at fasting status and 1, 2, 3, 4, 5, and 6 hours after a meal to detect serum triglycerides, total cholesterol, low density lipoprotein-cholesterol(LDL-C), high density lipoprotein-cholesterol(HDL-C), glucose, and insulin. The variations of postprandial metabolic indicators over time following the consumption of different test meals were analyzed. The disparities in postprandial metabolic responses between the two types of mixed meals were compared.Results:The protein meal, fat meal, fixed-calorie high-fat mixed meal, and adjusted-calorie high-fat mixed meal resulted in postprandial triglyceride increases of 22.45%, 115.40%, 77.14%, and 63.63%, and insulin increase of 560.43%, 85.69%, 554.18%, and 598.97%, respectively, and with reductions in total cholesterol, LDL-C, and HDL-C ranging from 5.64%-21.81%, respectively. The blood glucose changed slightly. Changes in metabolic indicators mainly occured within 4 hours. The comparison of the characteristics of postprandial triglycerides between the two high-fat mixed meals showed no statistically significant differences( P>0.05). Conclusion:A standardize protocol with a 700 kcal fixed-calorie high-fat mixed meal as test meal, and blood lipid levels measured at fasting and at 1, 2, 3, and 4 hours after consumption, can serve as an optimized approach for oral fat tolerance test.

Atrial fibrillation and skeletal musculopenia are common diseases in elderly patients, and the two conditions share the common risk factors and pathogenesis, and interact with each other during their occurrence and development. This article reviews the research advances on the epidemiology, risk factors, pathogenesis of atrial fibrillation and sarcopenia in the elderly, as well as the screening, evaluation and comprehensive management of elderly patients with atrial fibrillation combing sarcopenia.

BACKGROUND:Shujin Jiannao Prescription is an empirical formula for the treatment of cerebral palsy in Dongzhimen Hospital,Beijing University of Chinese Medicine,with clear clinical efficacy,but the specific mechanism needs to be elucidated. OBJECTIVE:To explore the possible mechanism of Shujin Jiannao Prescription in treating cerebral palsy. METHODS:Sixty-four 7-day-old Sprague-Dawley rats were randomly divided into a normal group(n=12)and a model group(n=52).An animal model was established by the Rice-Vannucci method.After successful modeling,52 model rats were randomly divided into control model group(n=12),minocycline group,and the low-,medium-,and high-dose groups of the Shujin Jiannao Prescription(n=10 per group).Rats in the minocycline group were given 40 mg/kg·d minocycline by gavage;rats in the low-,medium,and high-dose groups were given 4,8,and 16 g/kg·d Shujin Jiannao Prescription granules by gavage,respectively;and rats in the normal group and control model group were given an equal dose of normal saline by gavage.Medication in each group was given once a day for 1 week.The rats in each group were evaluated behaviorally using suspension test,abnormal involuntary movement score,and Bederson score.The pathological changes of the cerebral cortex were observed by hematoxylin-eosin staining.The levels of tumor necrosis factor α,interleukin 1β,and interleukin 10 in the cerebral cortex were determined using ELISA.The positive expressions of Janus kinase 2(JAK2),phosphorylated Janus kinase 2(p-JAK2),phosphorylated signal transducer and activator of transcription 3(p-STAT3)in the cerebral cortex were detected using immunohistochemistry.The protein expression levels of JAK2,p-JAK2,and p-STAT3 were detected using western blot. RESULTS AND CONCLUSION:Compared with the normal group,the suspension test score and involuntary movement score were decreased in the control model group(P＜0.01 or P＜0.05).The pathological results showed structural disruption of nerve cells,formation of large numbers of vacuoles,cell swelling,and increased intercellular space in the control model group.In addition,the expressions of tumor necrosis factor α and interleukin 1β in the cerebral cortex were significantly increased(P＜0.01),the expression of interleukin 10 was decreased(P＜0.05),and the protein expressions of JAK2,p-JAK2,and p-STAT3 in the cerebral cortex were significantly increased(P＜0.01)in the control model group compared with the normal group.Compared with the model group,minocycline and Shujin Jiannao Prescription at each dose could improve the behavioral indexes of rats(P＜0.01 or P＜0.05)and ischemic-hypoxic pathological changes were attenuated,with only a small amount of necrotic nerve cells and a few vacuoles,and reduced intercellular space.Moreover,the expressions of tumor necrosis factor α and interleukin 1β in the cerebral cortex were decreased in each drug group compared with the control model group(P＜0.05),while the protein expressions of JAK2,p-JAK2,and p-STAT3 in the cerebral cortex were significantly decreased(P＜0.01).The most obvious improvement was observed in the high-dose Shujin Jiannao Prescription group.To conclude,Shujin Jiannao Prescription can inhibit inflammation in the cerebral cortex of rats with hypoxic-ischemic brain injury.The mechanism may be related to the regulation of the JAK2/STAT3 signaling pathway.

BACKGROUND:Perinatal hypoxic-ischemic brain injury is one of the most common causes of cerebral palsy.Shujin Jiannao Prescription is an experienced formula for treating cerebral palsy and improving blood supply to the brain developed by the Dongzhimen Hospital,Beijing University of Chinese Medicine. OBJECTIVE:To explore the possible mechanism of Shujin Jiannao Prescription in treating hypoxic-ischemic cerebral palsy. METHODS:Sixty-four 7-day-old Sprague-Dawley rats were randomly divided into six groups.There were 12 rats in each of the control and model groups as well as 10 animals in each of the minocycline group,and the low-,medium-,and high-dose groups of Shujin Jiannao Prescription.The neonatal rat ischemic-hypoxic cerebral palsy model was established in all groups except for the control group.After successful modeling,rats in each drug group were respectively gavaged with minocycline and Shujin Jiannao Prescription at a dose of 4,8,and 16 g/kg per day for 1 week.Body mass of rats was measured and behavioral changes were detected before and after drug administration.Hematoxylin-eosin staining was used to observe the histomorphology of hippocampal CA1 region of rat brain tissue,and immunohistochemistry and western blot were used to detect the expression levels of Bcl-2,Bax,and Caspase-3 in the brain tissue of rats. RESULTS AND CONCLUSION:Compared with the model group,medium-and high-dose Shujin Jiannao Prescription significantly increased the body mass of rats(P<0.05).Compared with the model group,minocycline effectively prolonged the suspension time of ischemic-hypoxic cerebral palsy rats(P<0.05),while medium-and high-dose Shujin Jiannao Prescription significantly prolonged the suspension time,shortened the inclined plane test time,and increased the Longa score of rats(P<0.05).The pathological results showed that after drug intervention,only a small number of neuronal cells in the brain tissue of rats were necrotic,the cells were more neatly arranged,the cell structure was more complete,and only part of the cell nuclei became smaller.Compared with the model group,minocycline and medium-and high-dose Shujin Jiannao Prescription reduced the expression of Bax Caspase-3(P<0.05),medium-and high-dose Shujin Jiannao Prescription increased the expression of Bcl-2(P<0.05),and Bcl-2/Bax protein expression was increased in minocycline and three Shujin Jiannao Prescription groups(P<0.05).In addition,the protein expression was increased in a dose-dependent manner after intervention with Shujin Jiannao Prescription,and there was no significant difference between the minocycline and three Shujin Jiannao Prescription groups(P>0.05).To conclude,the mechanism by which Shujin Jiannao Prescription treats ischemic-hypoxic cerebral palsy in rats may be to enhance the expression of anti-apoptotic protein Bcl-2,inhibit the expression of pro-apoptotic protein Bax,and reduce the expression of Caspase-3,ultimately inhibiting the apoptosis of hippocampal neuronal cells in rats with cerebral palsy.Within a certain range,the higher dose of Shujin Jiannao Prescription indicates the better therapeutic effect,and the high-dose Shujin Jiannao Prescription is as effective as minocycline.