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 summarize the clinical characteristics,treatment regimen and clinical outcomes of infantile hepatic hemangioma(IHH)with high-output heart failure(HHF).Methods A retrospective analysis was conducted on 3 IHH infants with concomitant HHF admitted to the Children's Hospital of Chongqing Medical University during October 2020 and October 2023.The characteristics,treatment plans and efficacy were analyzed in the 3 cases.CNKI,WANFANG DATA,Chinese Medical Association Journal Full-text Database,and PubMed databases were retrieved to search domestic and foreign literature concerning the diseases,and the enrolled cases were analyzed and reviewed.Results Among the 3 infants,they were 1 male and 2 females,and aged 1 d,19 d and 80 d,respectively.The main clinical symptoms were dyspnea and respiratory distress.All 3 patients rapidly progressed to respiratory failure,pulmonary hypertension and heart failure after admission.Diffuse IHH was diagnosed in 2 cases and focal IHH in 1 case.One case of diffuse IHH underwent percutaneous hepatic artery embolization,and the cardiopulmonary function recovered on the day of surgery,and the ventilator was removed.In the other 2 cases,propranolol combined with steroid medication was used,and the estimated right ventricular systolic pressure and E wave to A wave mitral flow ratio(E/A)were the most sensitive indicators in echocardiographic monitoring.There were 24 cases included in literature review,with 4 cases of treatment failure and death,3 cases of remission,and 17 cases of complete recovery.Conclusion Propranolol combined with steroid medication and percutaneous hepatic artery embolization are effective in treating IHH complicated with HHF.Right ventricular systolic pressure and E/A during drug therapy might be early sensitive marker for the early evaluation of potential therapeutic effects of drugs.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Elemental imaging analysis based on laser induced-breakdown spectroscopy(LIBS)can provide significant reference value for oil and gas exploration activities.Improving the scanning speed and spatial resolution of LIBS elemental imaging analysis instruments contributes to enhancing the efficiency of mineral surface elemental analysis,which is crucial for achieving in-situ,real-time,and rapid LIBS analysis.In this study,a high-speed scanning LIBS elemental imaging analysis instrument was developed based on a scanning mirror device,achieving a scanning speed of 100 Hz and a spatial resolution of 50 μm.The stability of spectral data collected by this instrument was validated using aluminum alloy standard samples with uniform elemental distribution.The experimental results showed that the relative standard deviations(RSD)of the spectral data collected at different locations were 2.76％,2.79％,2.35％and 2.55％,respectively,demonstrating that the instrument's performance met analysis requirements.Analysis of spectral acquisition channels led to the selection of the 337-595 nm spectral range.Imaging analysis of major elements on the surface of meteorite mineral samples with complex matrices was conducted using this instrument,coupled with a multi-element imaging algorithm enabling visualization analysis of four major elements on the same image.The results revealed a higher level of detail and complexity in element distribution.The study demonstrated that this instrument,combined with multi-element imaging analysis algorithms,could provide crucial technical support for rapid imaging of element distribution in minerals at a microscopic scale during geological research.

Abstract: Objective　To analyze the pathogenic characteristics and epidemiological significance of human plague related strains in Qinghai Province in recent 30 years, so as to provide scientific basis for on-the-spot disposal and prevention and control measures of plague outbreak in Qinghai Province. Methods　A total of 35 strains of Yersinia pestis isolated from 29 typical human plague outbreaks in Qinghai Province from 1980 to 2011 were selected and studied by biochemical fermentation experiments. Virulence factors detection of Fraction 1 antigen (Fra1), virulence antigen (VW), pigmentation (Pgm) and Yersinia pestis Ⅰ (PstⅠ), determinants and genotyping of differential regions (DFRs) were used to study the pathogenic characteristics. At the same time, according to the epidemic situation of human and animal plague in Qinghai Province in recent years, the current situation of plague prevention and control and epidemic characteristics were analyzed. Results　The biotypes of 35 strains of Yersinia pestis were classical, and the biotypes of 29 strains (82.86%) were of Qinghai-Tibet Plateau type, mainly distributed in southern Qinghai and around lake areas, 2 strains (5.71%) belonged to Qilian Mountains type, mainly distributed in Qilian mountains, and 6 genotypes were identified by DFR. Among them, 16 were type 5, 12 were type 8, 2 were type 10, 1 was type 36, 3 were type 30 and 1 was type 1b, the strains of type 5 and 1b were mainly distributed around the lake and the southern foot of Qilian Mountains, while the strains of type 8, 10, 36 and 30 were mainly distributed in the southern part of Qinghai. Conclusions　The pathogen of Yersinia pestis in Qinghai Plateau has complex biochemical types, the epidemic situation among animals is continuous year after year, the situation of prevention and control is serious, the occurrence and prevalence of plague seriously endanger people's health and social development, so it is necessary to do a solid job in the prevention and control of plague to ensure the safety of people's lives.

Lateral epicondylitis is a common clinical disease with characteristics of lateral elbow pain, insidious onset and easy recurrence, which can cause forearm pain and decreased wrist strength, seriously affecting patients′ daily life and work. Although there are various treatment methods for lateral epicondylitis with different effects, standard treatments are still lacking nowadays. Platelet-rich plasma (PRP) has good effects on bone and tendon repair, and is now widely used in the treatment of lateral epicondylitis. However, there is a lack of a unified understanding of the technology and specifications of PRP in the treatment of lateral epicondylitis. Therefore, the Sports Medicine Branch of the Chinese Medical Association and Physical Medicine and Rehabilitation Branch of the Chinese Medical Association organized experts in the fields of sports medicine and rehabilitation medicine in China to formulate the "clinical expert consensus on platelet-rich plasma treatment for lateral epicondylitis (2022 version)", and proposed suggestions based on evidence-based medicine mainly from the concept, epidemiology and pathophysiology of lateral epicondylitis, symptoms, signs and imaging manifestations of lateral epicondylitis, PRP concept and application component requirements, quality control of PRP preparation technology, indications and contraindications of PRP in the treatment of lateral epicondylitis, PRP injection in the treatment of lateral epicondylitis, application of PRP in the operation of lateral epicondylitis, related problems after PRP treatment of lateral epicondylitis, evaluation of the results after PRP treatment of lateral epicondylitis, and health and economic evaluation of PRP treatment of lateral epicondylitis, so as to provide guidance for clinical diagnosis and treatment.

ObjectiveTo observe the repair effect of Dahuanglingxian prescription （DHLX） on bile duct epithelial cells of rats. To explore whether its mechanism of action is to adjust the mutual binding of transforming growth factor -β （TGF-β） activated kinase 1（TAK1） and tumor necrosis factor receptor-associated factor 6 （TRAF6）， and regulate the activation of the nuclear transcription factor -κB （NF-κB）/mitogen-activated protein kinase （MAPK） signaling pathway. MethodThe 20 SD rats were randomly divided into normal group and DHLX group， 10 rats in each group， were given saline and DHLX （320 mg·kg^-1·d^-1） for 8 days， to prepare normal serum and DHLX serum. Biliary epithelial cells were extracted from normal SD rats and divided into 9 groups： Normal group， model group （20 mg·L^-1）， LPS+DHLX group （20 mg·L^-1+10% DHLX）， LPS+PDTC group （20 mg·L^-1+200 μmol·L^-1）， LPS+SB203580 group （20 mg·L^-1+0.5 μmol·L^-1）， LPS+PDTC+SB203580 group （20 mg·L^-1+200 μmol·L^-1+0.5 μmol·L^-1）， LPS+PDTC+DHLX group （20 mg·L^-1+200 μmol·L^-1+10% DHLX serum）， LPS+SB203580+DHLX group （20 mg·L^-1+0.5 μmol·L^-1+10% DHLX serum）， LPS+PDTC+SB203580 +DHLX group （20 mg·L^-1+200 μmol·L^-1+0.5 μmol·L^-1+10% DHLX serum）. The microscopic observation of morphological changes in each group of cells after drug intervention. Enzyme-linked immunosorbent assay（ELISA） was used to detect the expression of （IL）-1β and IL-6 in each group of cells. Western blot detected the expression levels of TAK1 and TRAF6 proteins in each group of cells， Co-IP detected the interaction between TAK1 and TRAF6， and further observed the distribution and co-localization of TAK1 and TRAF6 using Laser confocal microscope. ResultAfter the action of LPS， the cell synapses are reduced， the cell body becomes significantly rounded and smaller， but the cell morphology of each group tends to be normal after medication. Compared with normal group， the expression levels of IL-1β and IL-6 in model group were significantly increased （P<0.05）， while the expression level of TAK1 was decreased while the expression level of TRAF6 was increased （P<0.05）. The content of TAK1-TRAF6 protein complex showed a decreasing trend， and the two proteins co-located in the cytoplasm. Compared with model group， the expression levels of IL-1β and IL-6 in LPS+DHLX group were significantly decreased （P<0.05）， the expression level of TAK1 was increased and the expression level of TRAF6 was decreased （P<0.05）， the content of TAK1-TRAF6 protein complex was significantly increased （P<0.01）， and the two proteins were significantly co-located in cytoplasm. Compared with LPS+DHLX group， the expression levels of IL-1β and IL-6 in other groups were significantly decreased （P<0.05，P<0.01）. TAK1-TRAF6 protein complex content in each group was significantly decreased after pathway blocker intervention （P<0.05）， while TAK1-TRAF6 protein complex content in each group was significantly increased after pathway blocker combined with DHLX intervention （P<0.05）. Co-localization of the TAK1-TRAF6 in cytoplasm was not obvious. ConclusionIn the LPS-induced inflammatory response of bile duct cells， the binding of TAK1 and TRAF6 showed a weakening trend， but DHLX could reverse the phenomenon， we think the mechanism of action may be related to promoting the mutual binding of TAK1 and TARF6 to inhibit the activation of the NF-κB/MAPK signaling pathway.

OBJECTIVE: To investigate the antibacterial activity of patchouli alcohol (PA) against 127 bacteria strains, including the common bacteria and drug-resistant bacteria strains both in the in vitro and in vivo tests. METHODS: For the in vitro trial, the antibacterial property of PA against 107 Gram-positive and 20 Gram-negative bacteria strains was screened by agar double dilution method. For the in vivo trial, specific pathogen free Kunming strain of both male and female white mice, were used to test the protective ability of PA after being injected with the median lethal dose of the tested strains. RESULTS: PA possessed antibacterial activity against all the tested 127 strains. In the in vitro test, PA could inhibit both Gram-negative bacteria (25-768μg/mL) and Gram-positive bacteria (1.5-200μg/mL). Particularly, PA was active against some drug-resistant bacteria like methicillin-resistant Staphylococcus aureus (MRSA). PA also exhibited in vivo anti-MRSA activity in mice via intraperitoneal injection. PA could protect mice entirely infected with MRSA at 100 and 200 mg/kg, while 80% mice injected with MRSA could be protected at a low dose of 50μg/mL. CONCLUSION PA might be a potential antibacterial drug from natural sources and might be worthy to explore its mechanism and application in further study.

Objective:To investigate the drug resistance of Yersinia pestis to 11 kinds of antibiotics in the natural foci of plague in Inner Mongolia Autonomous Region, and to provide a theoretical basis for scientifically and effectively selecting antibiotics for treatment of the plague. Methods:A total of 137 strains of Yersinia pestis isolated from the natural foci of plague in Inner Mongolia Autonomous Region at different times, regions, hosts and vectors were collected. According to Clinical and Laboratory Standard Institute (CLSI), the agar plate dilution method was used to determine the minimum inhibitory concentration (MIC) of the 11 kinds of antibiotics against 137 strains of Yersinia pestis, including ofloxacin, ciprofloxacin, kanamycin, streptomycin, ceftriaxone, ampicillin, chloramphenicol, spectinomycin, cefuroxime, tetracycline and sulfamethoxazole-trimethoprim. The MIC 50 and MIC 90 (the minimum concentration of drug which could inhibit 50% and 90% of bacterial growth) were calculated, and their sensitivity was determined according to CLSI standards. Results:Among 137 strains of Yersinia pestis tested, no strains of Yersinia pestis had single or multiple resistance to ofloxacin, ciprofloxacin, kanamycin, streptomycin, ceftriaxone, ampicillin, chloramphenicol, spectinomycin, cefuroxime, tetracycline and sulfamethoxazole-trimethoprim. According to CLSI standards, 137 strains of Yersinia pestis were all sensitive to the 11 kinds of antibiotics; among them, ofloxacin, ciprofloxacin, ceftriaxone and sulfamethoxazole-trimethoprim had higher antibacterial activity, with MIC 90 < 0.250 μg/ ml; the antibacterial activity of spectinomycin was the lowest, with MIC 90 of 16.000 μg/ml. Conclusions:The Yersinia pestis isolated from the natural foci of plague in Inner Mongolia Autonomous Region is not found to have single or multiple resistance to the 11 kinds of antibiotics. Continuous drug resistance monitoring of Yersinia pestis should be carried out to provide a basis for clinical medication.

Objective:To analyze the pathogenic characteristics of Yersinia pestis in a plague natural foci in Qinghai-Tibet Plateau. Methods:In this study, 1 378 strains of Yersinia pestis isolated from different regions, hosts and vectors in Qinghai-Tibet Plateau from 1954 to 2016 were taken as the research objects. Phenotypic characteristics, plasmid spectrum and genotype of the strains were studied by using conventional techniques and molecular biological techniques. The etiology and geographical distribution of the plague were studied. Results:There were 6 biochemical types of Yersinia pestis in Qinghai-Tibet Plateau, namely Qinghai-Tibet Plateau, Qilian Mountain, Gangdis Mountain, Kunlun Mountain A, Kunlun Mountain B and Chuanqing Plateau. This study found that the Qinghai-Tibet Plateau type strain was not only distributed in north Tibet Plateau, but also distributed in south Tibet, and the distribution of Gangdis Mountain type strain extended to south Tibet. Four virulence factors (capsule antigen, yersinin, virulence antigen and pigmentation factor) were found in 79.97% (1 102/1 378) Yersinia pestis. The results also showed that there were 12 kinds of plasmids carried by Yersinia pestis strains in Qinghai-Tibet Plateau, which constituted 17 kinds of plasmid spectrum. There were 3 kinds of the largest plasmids with taxonomic properties, forming their respective relatively independent distribution areas. The study of different regions (DFR) type showed that 5, 8, 14, 19, 32 and 44 of 1 378 strains were the main genotypes, and the main genome types had obvious geographical distribution. Conclusions:All the tested strains have the characteristics of plague pathogen in Qinghai-Tibet Plateau. The polymorphism of the main hosts, vectors and the ecological landscape of plague geography in the plague foci in Qinghai-Tibet Plateau may lead to the diversity of biochemical characters, plasmid spectrum and geno types of Yersinia pestis.