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.

Alzheimer's disease (AD), a prototypical neurodegenerative disorder, encompasses multifaceted pathological processes. As pivotal cellular structures within the central nervous system, ion channels play critical roles in regulating neuronal excitability, synaptic transmission, and neurotransmitter release. Extensive research has revealed significant alterations in the expression and function of ion channels in AD, implicating an important role of ion channels in the pathogenesis of abnormal Aβ deposition, neuroinflammation, oxidative stress, and disruptions in calcium homeostasis and neural network functionality. This review systematically summarizes the crucial roles and underlying mechanisms of ion channels in the onset and progression of AD, highlighting how these channel abnormalities contribute to AD pathophysiology. We also discuss the therapeutic potential of ion channel modulation in AD treatment, emphasizing the importance of addressing multifactorial nature and heterogeneity of AD. The development of multi-target drugs and precision therapies is proposed as a future direction of scientific research.
Alzheimer Disease/therapy* ; Humans ; Ion Channels/physiology* ; Oxidative Stress ; Animals ; Amyloid beta-Peptides/metabolism* ; Synaptic Transmission ; Calcium/metabolism*

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*

OBJECTIVE: To compare the therapeutic efficacy and safety of local anesthesia and spinal anesthesia for the patients with varicocele (VC) who underwent microsurgical varicocelectomy (MV). METHODS: We retrospectively analyzed the data of VC patients who underwent MV treatment at the Andrology Department of the Affiliated Ruikang Hospital of Guangxi University of Chinese Medicine from May 2020 to March 2023. Cases with complete clinical data and follow-up evaluation were selected and divided into a control group (spinal anesthesia) and an observation group (local anesthesia) according to different anesthesia methods. The surgical time (including anesthesia time), visual analogue scale (VAS) score for pain, hospital stay, treatment cost, sperm concentration, forward motile sperm rate, and normal sperm morphology rate after three months of surgery, as well as postoperative complications and recurrence rate were compared between the two groups. RESULTS: A total of 107 eligible cases were included, with 56 cases in the control group and 51 cases in the observation group. There was no significant difference in the VAS score for pain during and after four hours of surgery, as well as postoperative complications, and recurrence rate between the two groups (P> 0.05). There was an significant increase in sperm concentration, forward motile sperm rate, and normal sperm morphology rate in both of two groups after three months of surgery (P<0.05). However, there was no significant difference between the two groups three months after surgery (P>0.05). The surgical time and hospital stay were shorter than those of the control group (P<0.05). And the treatment cost in observation group was lower than that of the control group (P<0.05). CONCLUSION Both local anesthesia and lumbar anesthesia for MV treatment of VC have good efficacy and safety. However, patients treated with MV under local anesthesia for VC have obvious advantages in terms of operation time (including anesthesia time), hospital stay, and treatment cost, which is worthy of clinical promotion and application.
Humans ; Male ; Varicocele/surgery* ; Retrospective Studies ; Microsurgery ; Anesthesia, Spinal ; Adult ; Treatment Outcome ; Anesthesia, Local

Anthoceros angustus Steph. is rich in phenolic acids such as rosmarinic acid (RA). Phenylalanine ammonia-lyase (PAL) is an entry enzyme in the phenylpropanoid pathway of plants, playing an important role in the biosynthesis of RA. To investigate the important role of PAL in rosmarinic acid synthesis, two PAL genes (designated as AanPAL1 and AanPAL2) were cloned from A. angustus, encoding 755 and 753 amino acid residues, respectively. The AanPAL deduced amino acid sequences contain the conserved domains of PAL and the core active amino acid residues Ala-Ser-Gly. The phylogenetic analysis indicated that AanPAL1 and AanPAL2 were clustered with PALs from bryophytes and ferns and had the shortest evolutionary distance with the PALs from Physcomitrella patens. Quantitative real-time PCR results showed that the expression of AanPAL1 and AanPAL2 was induced by exogenous methyl jasmonate (MeJA). HPLC results showed that the MeJA treatment significantly increased the accumulation of RA. AanPAL1 and AanPAL2 were expressed in Escherichia coli and purified by histidine-tag affinity chromatography. The recombinant proteins catalyzed the conversion of L-phenylalanine to generate trans-cinnamic acid with high efficiency, with the best performance at 50 ℃ and pH 8.0. The K_m and k_cat of AanPAL1 were 0.062 mmol/L and 4.35 s^-1, and those of AanPAL2 were 0.198 mmol/L and 14.48 s^-1, respectively. The specific activities of AanPAL1 and AanPAL2 were 2.61 U/mg and 8.76 U/mg, respectively. The two enzymes had relatively poor thermostability but good pH stability. The high activity of AanPAL2 was further confirmed via whole-cell catalysis with recombinant E. coli, which could convert 1 g/L L-phenylalanine into trans-cinnamic acid with a yield of 100% within 10 h. These results give insights into the regulatory role of AanPAL in the biosynthesis of RA in A. angustus and provide candidate enzymes for the biosynthesis of cinnamic acid.
Phenylalanine Ammonia-Lyase/metabolism* ; Cloning, Molecular ; Cinnamates/metabolism* ; Recombinant Proteins/metabolism* ; Rosmarinic Acid ; Depsides/metabolism* ; Escherichia coli/metabolism* ; Amino Acid Sequence ; Plant Proteins/metabolism* ; Phylogeny ; Acetates/pharmacology* ; Cyclopentanes ; Oxylipins

BACKGROUND:Knee osteoarthritis is a degenerative disease caused by multiple factors.Its pathogenesis is complex and still unclear.Chinese medicine in the treatment of knee osteoarthritis is fruitful,and in-depth study of Chinese medicine in the treatment of knee osteoarthritis is of great significance. OBJECTIVE:To review the progress of Chinese medicine monomers and compounds in the treatment of knee osteoarthritis and to provide ideas and reference for the effective prevention and treatment of knee osteoarthritis. METHODS:CNKI,WanFang,VIP,PubMed,MEDLINE,Nature,and Cochrane databases were retrieved for relevant literature published from database inception to 2022.The keywords were"knee osteoarthritis,cartilage damage,traditional Chinese medicine,Chinese herbal compound,treatment"in Chinese and English.Duplicates and obsolete non-referenced literature were excluded,and a total of 62 standard papers were included for further review. RESULTS AND CONCLUSION:Some of the pathogeneses of knee osteoarthritis include immune inflammatory response,chondrocyte autophagy and apoptosis,vascular endothelial growth factor level and biomechanical imbalance.The mechanisms by which traditional Chinese medicine treats knee osteoarthritis mainly focus on regulating inflammatory factor levels,chondrocyte autophagy and apoptosis,and vascular endothelial growth factor level and improving cartilage performance,so as to delay the occurrence and development of knee osteoarthritis.

BACKGROUND:The nuclear factor-κB signaling pathway plays an important role in the pathogenesis of osteoporosis.In recent years,increasing studies have shown that terpenoid herbal monomer compounds can inhibit the activity of bone resorbing cells and promote the differentiation of bone forming cells via the nuclear factor-κB signaling pathway,thus reducing bone resorption and increasing bone formation,which has certain preventive and therapeutic effects on osteoporosis. OBJECTIVE:By analyzing and summarizing the domestic and international literature,to investigate the relationship between nuclear factor-κB signaling pathway and osteoporosis in depth,elucidate the mechanism of terpenoid monomer compounds in regulating the nuclear factor-κB signaling pathway to prevent osteoporosis,and systematically summarize the terpenoid monomer compounds targeting to regulate the nuclear factor-κB signaling pathway to prevent osteoporosis. METHODS:According to the proposed inclusion and exclusion criteria,two researchers searched for relevant articles published from database inception to December 2022 in CNKI and PubMed using the search terms"NF-κB,osteoporosis,osteoblasts,osteoclasts,angiogenesis,traditional Chinese medicine,terpenoid"in Chinese and English,respectively.A third researcher summarized and organized the literature and 75 articles were finally included for a systematic review. RESULTS AND CONCLUSION:The nuclear factor-κB signaling pathway mediates the onset and progression of osteoporosis by regulating the differentiation and proliferation of osteoblasts and osteoclasts,as well as angiogenesis.Activation of the nuclear factor-κB signaling pathway negatively regulates the proliferation and differentiation of osteoblasts.Activation of the nuclear factor-κB signaling pathway enhances osteoclast activity and inhibits osteoblast growth,thereby inhibiting compensatory bone production to maintain bone homeostasis.However,over-activation of the nuclear factor-κB signaling pathway can lead to osteoporosis.The nuclear factor-κB signaling pathway is involved in the"angiogenesis-osteogenesis"coupling by upregulating the expression levels of cytokines such as angiopoietin-1,platelet-derived growth factor BB and vascular endothelial growth factor,which promote the growth of blood vessels in bone.The terpenoid herbal monomer compounds are used in the field of tissue engineering to promote the proliferation and differentiation of bone cells,thereby promoting the growth and repair of bone tissue.Terpenoid herbal monomer compounds can prevent and treat osteoporosis by inhibiting the degradation of nuclear factor-κB inhibitor,blocking nuclear factor-κB/p65 phosphorylation and nuclear translocation,thereby weakening the nuclear factor-κB signaling pathway,promoting osteoblast differentiation and inhibiting osteoclast formation.Currently,research on the regulation of nuclear factor-κB signaling pathway by monomeric compounds of terpenoids to prevent osteoporosis is mainly based on in vitro cellular experiments and animal models,and there is a lack of research on the complex physiological and pathological processes in humans.In the future,more clinical trials and studies are needed to further clarify the mechanism of action and efficacy of the nuclear factor-κB signaling pathway involved in the intervention of osteoporosis.

Transcatheter aortic valve replacement(TAVR)has become one of the effective methods for treating patients with aortic valve disease.With the continuous maturity of technology,innovation of instruments and increasing experience,the indications for TAVR has been expanded.Following international trends,the number of TAVR in China has steadily increased with each passing year.In 2023,the long-term follow-up results of TAVR in low-risk AS patients further confirm the long-term benefits of TAVR.The relevant research on TAVR for patients with aortic regurgitation and patients with bicuspid aortic stenosis provide evidence support for the expansion of TAVR indications.At the same time,the development of valve devices and new technological innovations are emerging in an endless stream,and the new concept of full life cycle management is increasingly being valued.Especially in China,the development of local devices is progressing rapidly,and multiple devices have entered the clinical research stage.The clinical manifestations and research results are worth pursuing.

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 This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.