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 observe the effect of Bushen Huoxue formula on interleukin-17(IL-17)in rats with recurrent spontaneous abortion(RSA).Methods RS A model rats were constructed by intraperitoneal injection of estradiol benzoate.Forty RSA model rats were randomly divided into model group,control group and experimental-L,-H groups,with 10 rats per group.Another 10 healthy pregnant rats were set as blank group.The experimental-L,-H groups were given 7.77 and 15.54 g·kg-1 of Bushen Huoxue formula solution by gavage.The control group was given 2.10 mg·kg-1of dydrogesterone solution by gavage.The blank group and the model group were given equal amount of 0.9％NaCl by gavage.The dose of administration for the five groups was 10 mL·kg-1,once a day,for 9 days.The number of live fetuses,embryo loss,and embryo loss rate in each group were observed.The proportion of Th 17 cells in the peripheral blood was detected by flow cytometry.The expression levels of interleukin-6(IL-6),IL-17 and IL-23 proteins in the decidual tissues were detected by Western blotting.Results The number of live fetuses in the experimental-H,control,model and blank groups were 11.50±2.84,11.50±3.10,6.30±1.25 and 12.50±3.24;the number of embryos lost were 1.80±0.42,1.90±0.57,4.90±1.37 and 0;the rates of embryo loss were(14.01±4.52)％,(14.79±6.06)％,(43.50±9.49)％and 0;the proportions of Th17 cells in the peripheral blood were(3.12±0.47)％,(3.10±0.59)％,(5.31±1.16)％and(2.54±0.71)％;the relative expression levels of IL-6 protein were 0.19±0.04,0.18±0.05,0.85±0.16 and 0.11±0.03;the relative expression levels of IL-17 protein were 0.28±0.04,0.29±0.05,0.84±0.12 and 0.09±0.01;the relative expression levels of IL-23 protein were 0.35±0.04,0.34±0.06,0.90±0.11 and 0.08±0.01,respectively.Comparing experimental-H group and model group,comparing control group and blank group,the above indexes were statistically significant(all P＜0.05).Conclusion Bushen Huoxue formula can reduce embryo loss,improve placental tissue pathology,reduce Th 17 cell proportion and its related cytokines IL-6,IL-17,IL-23 expression in rats with RSA.

Objective To investigate the renal protective effect and mechanism of sodium acetate(Ace)on hyperuricemic nephropathy(HN)in mice.Methods Uric acid nephropathy mice model was prepared by intraperitoneal injection of potassium oxonate combined with adenine gavage.Mice were divided into blank control group(0.9％NaCl+0.5％carboxymethyl cellulose sodium),Ace group(200 mmol·L-1 Ace+0.5％carboxymethyl cellulose sodium),model group(0.9％NaCl+350 mg·kg-1 potassium oxonate+70 mg·kg-1 adenine),and experimental group(based on model group with additional 200 mmol·L-1 Ace).Serum and urine uric acid(UA)and serum creatinine(SCr)levels were observed in each group.Real-time fluorescence quantitative reverse transcription-polymerase chain reaction(qRT-PCR)was used to detect the expression levels of kidney injury molecule-1(Kim-1)and anti-aging gene Klotho,renal fibrosis markers Collagen Ⅰ and Fibronectin,intestinal inflammation-related factors interleukin-1 β(IL-1 β),and mRNA expression levels of tight junction proteins Zo-1.Results The serum UA levels of blank control group,Ace group,model group,and experimental group mice were(259.52±24.40),(227.71±35.91),(604.06±73.55),and(496.24±30.16)μmol·L-1,respectively;SCr levels were(16.85±0.40),(16.18±0.94),(22.38±1.56),and(19.78±1.43)μmol·L-1;Kim-1 mRNA relative expression levels were 1.04±0.25,1.17±0.28,13.00±2.87,and 4.24±3.92;Klotho mRNA relative expression levels were 1.04±0.15,1.02±0.18,0.43±0.12,and 0.69±0.12;Collagen Ⅰ mRNA relative expression levels were 1.05±0.15,1.02±0.18,3.19±1.09,and 1.61±0.55;Fibronectin mRNA relative expression levels were 1.07±0.18,1.02±0.25,7.86±2.40,and 3.34±2.10;intestinal IL-1β mRNA relative expression levels were 1.00±0.01,1.01±0.03,2.55±0.63,and 1.21±0.28;intestinal Zo-1 mRNA relative expression levels were 1.00±0.07,1.07±0.09,0.54±0.20,and 0.92±0.17.The above indicators in blank control group compared with model group,and experimental group compared with model group,all showed statistically significant differences(P＜0.05,P＜0.01,P＜0.001).Conclusion Sodium acetate can effectively reduce UA levels in HN mice,significantly improve renal injury and fibrosis,and its mechanism may be related to the improvement of intestinal inflammatory response and up-regulation of intestinal Zo-1/Occuludin pathway to reduce intestinal mucosal permeability.

Objective To explore whether the cognitive function of central obese mice is decreased by affecting the expression of brain-derived neurotrophic factor(BDNF)in hippocampus.Methods Healthy mice at the neonatal stage were divided into normal group and model group at random.To obtain the obese models,model group mice were injected at cervical subcutaneous with 10％L-monosodium glutamate(MSG;3 mg·g-1·d-1)for 5 days.The normal group was injected with the same dose of 0.9％NaCl.In addition,mice were removed according to the requirements.Finally,we got 8 mice in each group.The following parameters were compared:body weight,Lee's index and levels of the serum lipid.The BDNF expression levels in hippocampal tissue were measured using western blotting.Results At the 8th weekend,the body weight of the model and normal groups was(49.01±2.47)and(41.27±3.28)g;the Lee's indexes were(357.14±9.24)and(330.15±7.37)g1/3·cm-1;triglyceride levels were(1.37±0.52)and(0.73±0.31)mmol·L-1;total cholesterol levels were(2.98±0.18)and(1.98±0.30)mmol·L-1;low-density lipoprotein levels were(0.31±0.03)and(0.24±0.02)mmol·L-1;high-density lipoprotein levels were(2.70±0.15)and(1.98±0.40)mmol·L-1;the differences were statistically significant(P＜0.05,P＜0.01),which were consistent with the characteristics of the central obesity model.The BDNF protein expression levels in the hippocampus of the model and normal groups were 6.02 x 104±626.53 and 7.04 x 104±1 440.81,which has statistically significant(P＜0.01).Conclusion The cognitive function of central obese mice may be decreased by down-regulating the expression of BDNF in hippocampus.

ObjectiveTo explore whether miR-375 regulates the malignant characteristics of osteosarcoma (OS) by influencing the expression of MMP13. MethodsPlasmid DNAs and miRNAs were transfected into OS cells and HEK293 cells using Lipofectamine 3000 reagent. Real-time quantitative polymerase chain reaction was performed to measure the expression of miR-375 and MMP13 in OS patients and OS cells. Western blot was performed to analyze the MMP13 protein in the patients with OS and OS cells. The targeting relationship between miR-375 and MMP13 was analyzed by luciferase assay. Migration and invasion were analysed by heal wound and transwell assays, respectively. ResultsmiR-375 expression in OS tissues was lower than that in normal tissues. The expression of MMP13 was upregulated in OS tissues. MMP13 expression was negatively correlated withmiR-375 expression in patients with OS. Migration and invasion were significantly inhibited in OS cells with the miR-375 mimic compared with OS cells with the miRNA control. MMP13 partially reversed the inhibition of migration and invasion induced by miR-375 in the OS cells. ConclusionmiR-375 attenuates migration and invasion by downregulating the expression of MMP13 in OS cells.

Objective To explore the reliability and safety of continuous monitoring of vital signs in patients using wireless wearable monitoring devices after video-assisted thoracoscopic surgery (VATS) for lung cancer. Methods The patients undergoing VATS for lung cancer in West China Hospital, Sichuan University from May to August 2023 were prospectively enrolled. Both wireless wearable and traditional wired devices were used to monitor the vital signs of patients after surgery. Spearman correlation analysis, paired sample t test and ratio Bland-Altman method were used to test the correlation, difference and consistency of monitoring data measured by the two devices. The effective monitoring rate of the wireless wearable device within 12 hours was calculated to test the reliability of its continuous monitoring. Results A total of 20 patients were enrolled, including 15 females and 5 males with an average age of 46.20±11.52 years. Data collected by the two monitoring devices were significantly correlated (P<0.001). Respiratory rate and blood oxygen saturation data collected by the two devices showed no statistical difference (P>0.05), while heart rate measured by wireless wearable device was slightly lower (=−0.307±1.073, P<0.001), and the blood pressure (=1.259±5.354, P<0.001) and body temperature(=0.115±0.231, P<0.001) were slightly higher. The mean ratios of heart rate, respiratory rate, blood oxygen saturation, blood pressure and body temperature collected by the two devices were 0.996, 1.004, 1.000, 1.014, and 1.003, respectively. The 95% limits of agreement (LoA) and 95% confidence interval of 95%LoA of each indicator were within the clinically acceptable limit. The effective monitoring rate of each vital signs within 12 hours was above 98%. Conclusion The wireless wearable device has a high accuracy and reliability for continuous monitoring vital signs of patients after VATS for lung cancer, which provides a security guarantee for subsequent large-scale clinical application and further research.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

Objective This study investigated the impact of occupational mercury(Hg)exposure on human gene transcription and expression,and its potential biological mechanisms. Methods Differentially expressed genes related to Hg exposure were identified and validated using gene expression microarray analysis and extended validation.Hg-exposed cell models and PTEN low-expression models were established in vitro using 293T cells.PTEN gene expression was assessed using qRT-PCR,and Western blotting was used to measure PTEN,AKT,and PI3K protein levels.IL-6 expression was determined by ELISA. Results Combined findings from gene expression microarray analysis,bioinformatics,and population expansion validation indicated significant downregulation of the PTEN gene in the high-concentration Hg exposure group.In the Hg-exposed cell model(25 and 10 μmol/L),a significant decrease in PTEN expression was observed,accompanied by a significant increase in PI3K,AKT,and IL-6 expression.Similarly,a low-expression cell model demonstrated that PTEN gene knockdown led to a significant decrease in PTEN protein expression and a substantial increase in PI3K,AKT,and IL-6 levels. Conclusion This is the first study to report that Hg exposure downregulates the PTEN gene,activates the PI3K/AKT regulatory pathway,and increases the expression of inflammatory factors,ultimately resulting in kidney inflammation.

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.

The determinations of the operation mode and basic performance conformity for evaluating the electromagnetic compatibility of brain-computer interface rehabilitation robots were described based on relevant standards of the electromag-netic compatibility of medical electrical equipment.The performance deviations and their causes during the electromagnetic compatibility evaluation of brain-computer interface rehabilitation robots were analyzed with case studies,and some improve-ment suggestions were proposed accordingly.Technical references were provided for the manufacturers of brain-computer interface rehabilitation robots.[Chinese Medical Equipment Journal,2024,45(9):84-88]