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.

Dopamine, as a catecholamine neurotransmitter widely distributed in the central nervous system, is involved in physiological functions such as motivation, arousal, reinforcement, and movement through various dopamine signaling pathways. The hippocampus receives dopaminergic neuron projections from regions such as the ventral tegmental area, locus coeruleus, and substantia nigra. Through D1-like and D2-like receptors, dopamine exerts significant regulatory effects such as spatial navigation, episodic memory, fear, anxiety, and reward. This review mainly summarizes the research progress on the functions of dopamine in the hippocampus from aspects including the sources of dopamine, receptor distribution and function, and the association of hippocampal dopamine system dysregulation with neurodegenerative diseases. The aim is to provide insights into the involvement of the dopamine system in hippocampal functions and the diagnosis and treatment of related diseases.
Hippocampus/physiology* ; Dopamine/physiology* ; Humans ; Animals ; Receptors, Dopamine D2/physiology* ; Memory/physiology* ; Signal Transduction/physiology* ; Neurodegenerative Diseases/physiopathology*

PURPOSE: The secondary damage of spinal cord injury (SCI) starts from the collapse of the blood spinal cord barrier (BSCB) to chronic and devastating neurological deficits. Thereby, the retention of the integrity and permeability of BSCB is well-recognized as one of the major therapies to promote functional recovery after SCI. Previous studies have demonstrated that activation of hypoxia inducible factor-1α (HIF-1α) provides anti-apoptosis and neuroprotection in SCI. Endogenous HIF-1α, rapidly degraded by prolylhydroxylase, is insufficient for promoting functional recovery. Dimethyloxalylglycine (DMOG), a highly selective inhibitor of prolylhydroxylase, has been reported to have a positive effect on axon regeneration. However, the roles and underlying mechanisms of DMOG in BSCB restoration remain unclear. Herein, we aim to investigate pathological changes of BSCB restoration in rats with SCI treated by DOMG and evaluate the therapeutic effects of DMOG. METHODS: The work was performed from 2022 to 2023. In this study, Allen's impact model and human umbilical vein endothelial cells were employed to explore the mechanism of DMOG. In the phenotypic validation experiment, the rats were randomly divided into 3 groups: sham group, SCI group, and SCI + DMOG group (10 rats for each). Histological analysis via Nissl staining, Basso-Beattie-Bresnahan scale, and footprint analysis was used to evaluate the functional recovery after SCI. Western blotting, TUNEL assay, and immunofluorescence staining were employed to exhibit levels of tight junction and adhesion junction of BSCB, HIF-1α, cell apoptosis, and endoplasmic reticulum (ER) stress. The one-way ANOVA test was used for statistical analysis. The difference was considered statistically significant at p < 0.05. RESULTS: In this study, we observed the expression of HIF-1α reduced in the SCI model. DMOG treatment remarkably augmented HIF-1α level, alleviated endothelial cells apoptosis and disruption of BSCB, and enhanced functional recovery post-SCI. Besides, the administration of DMOG offset the activation of ER stress induced by SCI, but this phenomenon was blocked by tunicamycin (an ER stress activator). Finally, we disclosed that DMOG maintained the integrity and permeability of BSCB by inhibiting ER stress, and inhibition of HIF-1α erased the protection from DMOG. CONCLUSIONS Our findings illustrate that the administration of DMOG alleviates the devastation of BSCB and HIF-1α-induced inhibition of ER stress.
Spinal Cord Injuries/pathology* ; Animals ; Apoptosis/drug effects* ; Amino Acids, Dicarboxylic/therapeutic use* ; Recovery of Function/drug effects* ; Rats ; Rats, Sprague-Dawley ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Male ; Spinal Cord/blood supply*

OBJECTIVE: To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases. METHODS: TB case data from Shanghai (2013-2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases. RESULTS: Increased TB risk was linked to PM _2.5, PM ₁₀, and rainfall, whereas NO ₂, SO ₂, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM _2.5 ( RR = 1.166, 95% CI: 1.026-1.325) at 0-19 weeks; PM ₁₀ ( RR = 1.167, 95% CI: 1.028-1.324) at 0-18 weeks; NO ₂ ( RR = 0.968, 95% CI: 0.938-0.999) at 0-1 weeks; SO ₂ ( RR = 0.945, 95% CI: 0.894-0.999) at 0-2 weeks; air pressure ( RR = 0.604, 95% CI: 0.447-0.816) at 0-8 weeks; and rainfall ( RR = 1.404, 95% CI: 1.076-1.833) at 0-22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM _2.5 on TB. CONCLUSION Exposure to PM _2.5, PM ₁₀, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.
China/epidemiology* ; Humans ; Air Pollutants/analysis* ; Tuberculosis/epidemiology* ; Incidence ; Meteorological Concepts ; Particulate Matter/adverse effects* ; Environmental Exposure ; Male ; Female ; Adult ; Air Pollution ; Middle Aged

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

Objective:To investigate the safety and therapeutic effect of split liver transplantation (SLT) in clinical application.Methods:This is a retrospective case-series study. The clinical data of 203 consecutive SLT, 79 living donor liver transplantation (LDLT) and 1 298 whole liver transplantation (WLT) performed at the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to July 2023 were retrospectively analyzed. Two hundred and three SLT liver grafts were obtained from 109 donors. One hundred and twenty-seven grafts were generated by in vitro splitting and 76 grafts were generated by in vivo splitting. There were 90 adult recipients and 113 pediatric recipients. According to time, SLT patients were divided into two groups: the early SLT group (40 cases, from July 2014 to December 2017) and the mature SLT technology group (163 cases, from January 2018 to July 2023). The survival of each group was analyzed and the main factors affecting the survival rate of SLT were analyzed. The Kaplan-Meier method and Log-rank test were used for survival analysis.Results:The cumulative survival rates at 1-, 3-, and 5-year were 74.58%, 71.47%, and 71.47% in the early SLT group, and 88.03%, 87.23%, and 87.23% in the mature SLT group, respectively. Survival rates in the mature SLT group were significantly higher than those in the early SLT group ( χ2=5.560, P=0.018). The cumulative survival rates at 1-, 3- and 5-year were 93.41%, 93.41%, 89.95% in the LDLT group and 87.38%, 81.98%, 77.04% in the WLT group, respectively. There was no significant difference among the mature SLT group, the LDLT group and the WLT group ( χ2=4.016, P=0.134). Abdominal hemorrhage, infection, primary liver graft nonfunction,and portal vein thrombosis were the main causes of early postoperative death. Conclusion:SLT can achieve results comparable to those of WLT and LDLT in mature technology liver transplant centers, but it needs to go through a certain time learning curve.

Objective:To investigate the safety and therapeutic effect of split liver transplantation (SLT) in clinical application.Methods:This is a retrospective case-series study. The clinical data of 203 consecutive SLT, 79 living donor liver transplantation (LDLT) and 1 298 whole liver transplantation (WLT) performed at the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to July 2023 were retrospectively analyzed. Two hundred and three SLT liver grafts were obtained from 109 donors. One hundred and twenty-seven grafts were generated by in vitro splitting and 76 grafts were generated by in vivo splitting. There were 90 adult recipients and 113 pediatric recipients. According to time, SLT patients were divided into two groups: the early SLT group (40 cases, from July 2014 to December 2017) and the mature SLT technology group (163 cases, from January 2018 to July 2023). The survival of each group was analyzed and the main factors affecting the survival rate of SLT were analyzed. The Kaplan-Meier method and Log-rank test were used for survival analysis.Results:The cumulative survival rates at 1-, 3-, and 5-year were 74.58%, 71.47%, and 71.47% in the early SLT group, and 88.03%, 87.23%, and 87.23% in the mature SLT group, respectively. Survival rates in the mature SLT group were significantly higher than those in the early SLT group ( χ2=5.560, P=0.018). The cumulative survival rates at 1-, 3- and 5-year were 93.41%, 93.41%, 89.95% in the LDLT group and 87.38%, 81.98%, 77.04% in the WLT group, respectively. There was no significant difference among the mature SLT group, the LDLT group and the WLT group ( χ2=4.016, P=0.134). Abdominal hemorrhage, infection, primary liver graft nonfunction,and portal vein thrombosis were the main causes of early postoperative death. Conclusion:SLT can achieve results comparable to those of WLT and LDLT in mature technology liver transplant centers, but it needs to go through a certain time learning curve.

Objective To observe the application effect and safety of continuous adductor canal block(ACB)with different doses of dexmedetomidine(DEX)combined with ropivacaine in postoperative analgesia of total knee arthroplasty(TKA).Methods Patients with TKA were enrolled as the research subjects and were divided into low-dose group,middle-dose group and high-dose group by the random number table method.At 10 min before induction of general anesthesia,all the groups were given 20 mL of 0.5％ropivacaine loading dose for ACB,placed nerve block indwelling catheter,and started ACB analgesia pump after the end of surgery.Low-dose group,middle-dose group and high-dose group were given 0.5,1.0 and 1.5 μg·kg-1 DEX+0.25％ropivacaine for a total of 100 mL,with a background dose of 4 mL·h-1and a control dose of 4 mL,and they locked for 30 min and continuously treated for 48 h.The surgical parameters and postoperative recovery quality of the two groups were compared.Visual analogue scale(VAS)was used to evaluate the pain status in resting state and motion state at 2,6,12,24 and 48 h after surgery.The number of effective compressions of self-controlled analgesia pump and the dosage of remedial analgesics at 48 h after surgery were counted and the safety evaluation was performed.Results No cases dropped out during treatment,and finally 30 cases were included in low-dose,middle-dose and high-dose groups,respectively.The first ambulation times in low-dose,middle-dose and high-dose groups were(54.22±8.37),(47.68±7.65)and(52.79±8.74)h;the time of active knee flexion 90° were(8.90±3.10),(7.20±2.70)and(8.60±2.40)d;the motion VAS scores were(3.86±0.59),(3.57±0.51)and(3.48±0.52)points at 48 h after surgery;the times of first analgesia pump compression within 48 h after surgery were(10.57±3.87),(12.45±3.63)and(13.36±3.56)h;the number of effective compressions of self-controlled analgesia pump were(6.11±2.18),(3.76±1.14)and(3.24±1.07)times;the remedial analgesia rates were 13.33％,0 and 0;at 6 h after surgery,quadriceps muscle strength scores were(4.81±0.21),(4.75±0.23)and(4.61±0.26)points,and the incidence rates of adverse drug reactions were 20.00％,6.67％and 6.67％,respectively.There were statistically significant differences in the above indicators between low-dose group and middle-dose group except for the incidence of adverse drug reactions(all P＜0.05).There were statistical differences between low-dose group and high-dose group except for the incidence of adverse drug reactions(all P＜0.05),but there were no statistical differences between middle-dose group and high-dose group(all P＞0.05).Conclusion The use of 1.0 μg·kg-1DEX combined with ropivacaine for ACB in TKA patients can achieve good postoperative analgesia effect and it has small impact on muscle strength and has good safety,thus this dose can be used as a clinical recommended dose.

Objective To investigate the protective effect of silymarin extract(SME)and its complex preparation on ethanol liver injury.Methods An ethanol liver injury model was established by gavage of 12 mL·kg-1 50％ethanol.Male mice were divided into blank group(distilled water),model group(ethanol liver injury model),SME-L,-H groups(6,20 mg·mL-1 SME),SME+Ganoderma lucidum extract(GLE)-L,-H groups(10,30 mg·mL-1 SME+GLE,SME∶GLE=1∶1),Jian An Shi Silymarin Pueraria Mirifica and Tansy tablets(JAS)-L,-H groups(68,204 mg·mL-1 JAS),there were 12 mice in each group.The serum levels of glutamic-oxaloacetic transaminase(GOT)in mice were measured by fully automated biochemical analyzer assay;the serum levels of interleukin-6(IL-6)and tumor necrosis factor-alpha(TNF-α)in mice were measured by enzyme-linked immunosorbent assay(ELASA);the hepatic tissue of oxidative stress indexes[catalase(CAT)and total superoxide dismutase(T-SOD)]were measured by ultraviolet spectrophotometer.Results The T-SOD activity in the blank group,model group,SME-L,SME-H,SME+GLE-L,SME+GLE-H,JAS-L and JAS-H groups were(192.54±49.00),(141.65±34.72),(205.83±32.77),(191.68±25.83),(192.31±28.79),(177.82±32.61),(218.58±74.80)and(210.24±31.65)U·mg·prot-1;CAT activity were(37.78±5.73),(28.92±8.44),(44.12±11.52),(41.41±9.15),(47.01±10.48),(41.63±8.95),(47.14±8.91)and(48.29±10.06)U·mg-1;GPT levels were(47.61±13.00),(97.84±26.00),(62.33±18.92),(51.84±17.91),(70.77±28.00),(58.00±21.27),(52.28±18.78)and(45.55±9.27)U·L-1;IL-6 levels were(21.03±1.52),(28.43±5.75),(21.90±3.24),(21.23±1.55),(22.26±2.58),(21.24±2.91),(22.17±4.14)and(21.14±3.02)pg·mL-1.Comparing the above indexes in the model group with the blank group,and comparing the above indexes in the SME-L,SME-H,SME+GLE-L,SME+GLE-H,JAS-L,JAS-H groups with the model group,the differences were statistically significant(all P＜0.01).The TNF-α levels in blank,model,SME-L,SME-H,SME+GLE-L,SME+GLE-H,JAS-L and JAS-H groups were were(28.07±7.72),(69.02±16.34),(40.29±8.94),(48.84±10.17),(41.91±14.96),(40.07±12.75),(50.72±11.44)and(45.05±11.34)pg·mL-1.Comparing the model group with the blank group,the SME,SME+GLE-L,-M and JAS,-M groups with the model group,the differences were statistically significant(all P＜0.01).Conclusion Silybum marianum extract and its compound preparation can increase the antioxidant level and reduce the inflammation of mouse liver,and have a certain improvement effect on liver injury caused by acute ethanol poisoning.

Objective To evaluate the pharmacokinetic characteristics and safety of single and multiple oral azvudine tablets in healthy young and elderly Chinese subjects.Methods This was a open-label and parallel-group study.The trial consisted of two groups:healthy young subjects group and healthy elderly subjects group,with 12 subjects in each group.Enrolled subjects were first given a single dose,fasting oral azvudine tablet 5 mg,after a 3-day cleansing period entered the multiple dose phase,fasting oral azvudine tablet 5 mg·d-1 for 7 days.Results After a single dose of azvudine 5 mg,Cmax and AUC0-∞ were(4.76±2.12)ng·mL-1,(6.53±2.20)ng·mL-1·h,and Tmax,t1/2 were 0.75,1.87 h in young subjects;Cmax and AUC0-∞ were(6.40±3.25)ng·mL-1,(9.50±3.70)ng·mL-1·h,and Tmax,t1/2 were 0.63,2.66 h in elderly subjects.After a multiple dose of azvudine 5 mg·d-1 for 7 d,Cmax and AUC0-∞ were(3.26±1.61)ng·mL-1,(5.38±2.19)ng·mL-1·h,and Tmax,ss,t1/2,ss were 0.88,2.13 h in young subjects;Cmax,ss and AUC0-∞,ss were(3.97±2.09)ng·mL-1,(6.71±3.26)ng·mL-1·h,and Tmax,ss,t1/2,ss were 0.75,2.56 h in elderly subjects.Elderly/young geometric mean ratios and 90％CIs were 128.37％(88.23％-186.76％),139.93％(105.42％-185.72％),140.03％(106.33％-184.41％)for azvudine Cmax,AUC0-t,AUC0-∞ after a single dose,and were 118.66％(80.83％-174.20％),118.41％(83.60％-167.69％),118.95％(84.78％-166.89％)for azvudine Cmax,AUC0-t,AUC0_∞ after a multiple dose of azvudine 5 mg·d-1 for 7 d.Conclusion After single and multiple oral administration of azvudine tablets,systemic exposure to azvudine was higher in healthy elderly subjects compared with healthy young subjects.After taking azvudine tablets,the types,severity and incidence of adverse events and adverse drug reactions in healthy elderly people were not significantly different from those in healthy young subjects.Azvudine was found to be safe and well tolerated in healthy elderly subjects.