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 relationship between serum growth differentiation factor-15(GDF-15),chemerin,pentraxin 3(PTX3)levels and obesity,insulin resistance and inflammatory factors in patients with type 2 diabetes mellitus(T2DM),and to construct and evaluate the predictive efficacy.Methods A total of 231 T2DM patients admitted to the hospital from February 2020 to September 2022 were selected as T2DM group.Another 100 healthy subjects who came to the hospital for physical examination during the same period were selected as the control group.Serum GDF-15,chemerin and PTX3 levels of the two groups were detected and compared by enzyme-linked immunosorbent assay(ELISA).Clinical data of the two groups were collected and compared.Pearson correlation analysis and multiple linear regression were used to analyze the relationship between serum GDF-15,chemerin,PTX3 levels and obesity,insulin resistance and inflammation.Multivariate Logistic regression was used to evaluate the independent risk factors for T2DM development,and the com-bined prediction model of serum GDF-15,chemerin and PTX3 was constructed,and receiver operating charac-teristic(ROC)curve was plotted to evaluate its predictive efficacy for T2DM development.Results Compared with the control group,body mass index(BMI),waist-to-hip ratio(WHR),systolic blood pressure,total cho-lesterol,triglyceride,fasting blood glucose,fasting insulin(FINS),homeostasis model assessment of insulin re-sistance(HOMA-1R),interleukin(IL)-1β,IL-6,GDF-15,chemerin and PTX3 were all increased in T2DM group,and the differences were statistically significant(P＜0.05).Pearson correlation analysis showed that se-rum GDF-15,chemerin and PTX3 levels were positively correlated with BMI,WHR,FINS,HOMA-IR,IL-1βand IL-6 in T2DM group(P＜0.05).Multiple linear regression analysis showed that BMI,FINS,HOMA-IR,IL-1β and IL-6 were positively correlated with serum GDF-15,chemerin and PTX3 levels(P＜0.05).Multiva-riate Logistic regression analysis showed that the increase of serum GDF-15,chemerin and PTX3 levels was an independent risk factor for T2DM development(P＜0.05).ROC curve analysis results showed that the com-bined prediction model of serum GDF-15,chemerin and PTX3 had better prediction efficiency,and its area un-der the curve,sensitivity,specificity and accuracy were higher than those applied alone.Conclusion The levels of GDF-15,chemerin and PTX3 in serum of T2DM patients are elevated,and their levels increase with the ex-acerbation of obesity,insulin resistance and inflammatory response in T2DM patients.The combined predic-tion model constructed in this study has good predictive efficacy and has high predictive value for the occur-rence of T2DM.

ObjectiveThis study aimed to observe the impact of sinomenine hydrochloride on the proliferation of fibroblasts and the mRNA expression of related genes in knee joint adhesion and contracture in rabbits. Additionally, we sought to explore its potential mechanisms in combating knee joint adhesion and contracture. MethodsFibroblasts were cultured in vitro, and experimental groups with varying concentrations of sinomenine hydrochloride were established alongside a control group. Cell proliferation was assessed using the CCK-8 assay. Changes in the mRNA expression of fibroblast-related genes following sinomenine hydrochloride treatment were evaluated using RT-qPCR. The impact of the drug on serum levels of inflammatory cytokines was determined using the ELISA method, and the expression of related proteins was assessed using Western blot. ResultsSinomenine hydrochloride was found to inhibit fibroblast viability, with viability decreasing as the concentration of sinomenine hydrochloride increased. The effects of sinomenine hydrochloride in all experimental groups were highly significant (P<0.05). At the mRNA expression level, compared to the control group, sinomenine hydrochloride led to a significant downregulation of inflammatory cytokines in all groups (P<0.05). Additionally, the expression levels of apoptosis-related proteins significantly increased, while Bcl-2 mRNA expression decreased (P<0.05). The mRNA expression levels of the PI3K/mTOR/AKT3 signaling pathway also decreased (P<0.05). At the protein expression level, in comparison to the control group, the levels of inflammatory cytokines IL-6, IL-8, IL-1β, and TGF-β were significantly downregulated in the middle and high-dose sinomenine hydrochloride groups (P<0.05). The expression levels of cleaved-PARP, cleaved caspase-3/7, and Bax increased and were positively correlated with the dose, while the expression levels of the anti-apoptotic protein Bcl-2 and the PI3K/AKT3/mTOR signaling pathway were negatively correlated with the dose. Sinomenine hydrochloride exhibited a significant inhibitory effect on the viability of rabbit knee joint fibroblasts, which may be associated with the downregulation of inflammatory cytokines IL-6, IL-8, and IL-1β, promotion of apoptosis-related proteins cleaved-PARP, cleaved caspase-3/7, and Bax, suppression of Bcl-2 expression, and inhibition of gene expression in the downstream PI3K/AKT3/mTOR signaling pathway. ConclusionSinomenine hydrochloride can inhibit the inflammatory response of fibroblasts in adhesive knee joints and accelerate fibroblast apoptosis. This mechanism may offer a novel approach to improving and treating knee joint adhesion.

The 2024 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held in San Francisco, the USA from January 18th to 20th, 2024 (local time). The multiple studies presented in this symposium will have a significant impact on the clinical practice of esophageal cancer. This article will focus on the surgical methods of esophageal cancer, perioperative immunotherapy, drug therapy for advanced esophageal cancer, rescue treatment after immunotherapy resistance, and other relevant aspects. It aims to summarize and interpret the significant advancements in the field of esophageal cancer presented in this symposium.

Consciousness and unconsciousness represent a compelling topic in psychology and neuroscience, embodying a dynamic interplay between two fundamental cognitive states. Understanding the cognitive and neural mechanisms underlying their interaction poses a significant challenge. While previous studies have predominantly focused on the impact of attention on consciousness, the influence of attention on unconscious processes has often been overlooked. However, the role of attention in modulating unconscious information processing is paramount, as it can regulate various aspects of unconscious visual processing, including simple visual information, semantic content, and emotional stimuli. Within the visual processing pathway, attention operates at early levels to modulate unconscious visual processing, starting at least from the eye-of-origin and visual orientations. In the semantic system, attention can top-down enhance unconscious semantic processes in a goal-dependent manner, enhancing goal-relevant processes while suppressing goal-irrelevant ones. In the emotional system, attentional load, in addition to target relevance, can regulate unconscious emotional processing. These findings suggest that the regulatory role of attention on unconscious processes depends on both goal relevance and the amount of attentional resources. Specifically, the goal-relevance of unconscious processes determines the direction of attentional modulation, while the amount of attentional resources allocated determines the extent of modulation. The once-prevailing notion that unconscious processing is automatic and not subject to attentional modulation has been gradually overturned. Current studies indicate that attention can modulate both conscious and unconscious processes, providing a new perspective on the relationship between attention and consciousness. Spatial attention can operate independently from consciousness at the neural representation level. Furthermore, other factors tightly related to attention, such as goal-related task sets, working memory, and attentional load, can all impact unconscious processes. These findings collectively suggest that attention and consciousness are functionally dissociated, supporting the idea that attention is necessary for both conscious and some unconscious processes. In conclusion, unconscious information processing is a complex and intriguing field where attention plays a crucial role. Continued in-depth research in this area is needed to deepen our understanding of how the human brain processes unconscious information and how attention exerts its regulatory influence. This not only requires studying the commonalities and specificities of different types of attention but also examining the sharing and individuality among different sensory modalities and cognitive modules. Theoretically, this not only helps us understand the mechanisms of attention but also sheds light on the mechanisms of consciousness. Studying these issues is also of practical value. Importantly, the organization and regulation of unconscious processes are closely related to human survival and development. For example, while rapid unconscious emotional processes (such as unconscious fear) are beneficial for rapid threat responses and increased survival chances, excessive and uncontrolled unconscious emotional processes can lead to anxiety disorders, phobias, and other mental disorders. Furthermore, while repeated perceptual and behavioral training can improve efficiency by forming highly automated unconscious processes, excessively stubborn unconscious processes can hinder the learning of new skills. Studying the role of attention in regulating these unconscious processes can help develop new intervention methods to maintain mental health and improve behavioral performance.

Objective To study the population distribution characteristics and follow-up results of a health examination institution in Xinjiang.Methods 65 045 subjects who took physical examination in the Health Management Center of Xinjiang Medical University in 2022,and 4 665 subjects with important abnormal results were selected.The follow-up rules of important abnormal results class B were formulated,telephone notification and follow-up in January and June,and follow-up were recorded by follow-up information system.Results Of the 4665 cases,447 cases(9.58% )had important abnormal results of class A and 4 218 cases(90.42% )had important abnormal results of class B;there were 2 815 males(60.34% )and 1 850 females(39.66% ),indicating cases were higher in males than in females(P＜0.05);there was a correlation between age and impor-tant abnormal results(P＜0.05).The number of abnormal results in important sections of 41-50 years old(1 114 cases)and 51-60 years old(1 211 cases)accounted for a high proportion.4 457 cases(95.54% )were effectively notified,4 397 cases(98.65% )were effectively followed up after notification,and 60 cases(1.35% )lost follow-up.After telephone follow-up,2118 cases(48.17% )were treated and 2 279 cases(51.83% )were not treated.1 562(58.57% )ofmales who did not see a doctor,compared with 717(41.45% )of females,and there was statistical significance between sex and whether they saw a doc-tor or not(P＜0.05).There were 1 194 cases(56.40% )of non-tumor diseases,97 cases(4.5% )of malignant diseases and 827 cases(39.1% )of undefined diseases.Conclusion Significant abnormal results are higher in men than women,and the in-cidence of significant abnormalities increases with age.The notification and follow-up success rate in the implementation of the follow-up pathway should also be improved.The subjects did not fully understand and paid enough attention to the important abnormal outcome indicators(60.44% )or see a doctor in time according to the follow-up recommendations.Health education needs to be strengthened to improve their health awareness and urge them to get timely treatment,which was of great significance to improve the"early screening,early evaluation and early intervention"of the disease.

To promote the development of extracellular vesicles of herbal medicine especially the establishment of standardization, led by the National Expert Committee on Research and Application of Chinese Herbal Vesicles, research experts in the field of herbal medicine and extracellular vesicles were invited nationwide with the support of the Expert Committee on Research and Application of Chinese Herbal Vesicles, Professional Committee on Extracellular Vesicle Research and Application, Chinese Society of Research Hospitals and the Guangdong Engineering Research Center of Chinese Herbal Vesicles. Based on the collation of relevant literature, we have adopted the Delphi method, the consensus meeting method combined with the nominal group method to form a discussion draft of "Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023)". The first draft was discussed in online and offline meetings on October 12, 14, November 2, 2022 and April and May 2023 on the current status of research, nomenclature, isolation methods, quality standards and research applications of extracellular vesicles of Chinese herbal medicines, and 13 consensus opinions were finally formed. At the Third Academic Conference on Research and Application of Chinese Herbal Vesicles, held on May 26, 2023, Kewei Zhao, convenor of the consensus, presented and read the consensus to the experts of the Expert Committee on Research and Application of Chinese Herbal Vesicles. The consensus highlights the characteristics and advantages of Chinese medicine, inherits the essence, and keeps the righteousness and innovation, aiming to provide a reference for colleagues engaged in research and application of Chinese herbal vesicles at home and abroad, decode the mystery behind Chinese herbal vesicles together, establish a safe, effective and controllable accurate Chinese herbal vesicle prevention and treatment system, and build a bridge for Chinese medicine to the world.

Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

ObjectiveTo investigate the clinical efficacy and safety of iguratimod combined with the Chinese medicine Runzaoling in the treatment of primary Sjögren's syndrome （pSS）. MethodSeventy-two patients treated in the Department of Rheumatology and Immunology of the Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine（TCM） from January 2021 to June 2022 who met the Western medical diagnosis of pSS and had the TCM syndrome of Yin deficiency and heat toxin syndrome were randomly assigned into an observation group and a control group， with 36 patients in each group. The observation group was treated with iguratimod combined with Runzaoling， and the control group was treated with iguratimod. The treatment in both groups lasted for 12 weeks. The clinical symptoms， EULAR Sjogren's syndrome patient reported index （ESSPRI）， EULAR Sjögren's syndrome disease activity index （ESSDAI）， erythrocyte sedimentation Rate （ESR）， C-reactive protein （CRP）， immunoglobulin （IgG）， Schirmer score， and saliva flow of the two groups were determined before and after treatment. Furthermore， the incidence of adverse reactions was compared between the two groups. ResultThe total response rate in the observation group was 75.0% （27 patients with response and 9 patients with no response）， which was higher than that （61.11%， 22 patients with response and 14 patients without response） in the control group （P<0.05）. After treatment， the ESSPRI， ESSDAI， and TCM syndrome scores in both groups decreased and the decreases were more obvious in the observation group than in the control group （P<0.05）. The treatment in both groups recovered the ESR， CRP， IgG， Schirmer score， and saliva flow （P<0.05）. Moreover， the observation outperformed the control group in terms of the ESR， CRP， IgG， and saliva flow （P<0.05） and had no significant difference in the Schirmer score compared with the control group. During the treatment period， 2 patients in the observation group had nausea， and 1 patient had an abnormal liver function， which were relieved after symptomatic treatment and did not affect the treatment. In the control group， 1 patient withdrew from the study due to rashes and showed no special discomfort in the follow-up 4 weeks， and 1 patient had nausea， which was relieved after symptomatic treatment. ConclusionIguratimod combined with Runzaoling has good clinical efficacy and safety in the treatment of pSS.

Objective:To investigate the characteristics of neointimal hyperplasia (NIH) in patients with in-stent restenosis (ISR) over 5 years post-drug-eluting stent (DES) implantation based on optical coherence tomography (OCT).Methods:In this cross-sectional study, patients with DES-ISR who underwent OCT examination at PLA General Hospital between March 2010 and March 2022 were retrospectively included. All patients were divided into≤5 years DES-ISR group and>5 years DES-ISR group according to the time interval after DES implantation. Quantitative and qualitative analyses were conducted on OCT images to compare the clinical data and lesion characteristics of two patient groups. Furthermore, the independent clinical predictive factors of in-stent neoatherosclerosis (ISNA) were analyzed by multivariable logistic regression.Results:A total of 230 DES-ISR patients with 249 lesions were included, with an age of (63.1±10.4) years and 188 males (81.7%). The median interval after DES implantation was 6 (2, 9) years. There were 117 patients (122 ISR lesions) in the≤5 years DES-ISR group, and 113 patients (127 ISR lesions) in the>5 years DES-ISR group. Compared with≤5 years DES-ISR,>5 years DES-ISR showed more heterogeneous patterns (65.4% (83/127) vs. 48.4% (59/122), P=0.007), diffuse patterns (46.5% (59/127) vs. 31.2% (38/122), P=0.013), macrophage accumulations (44.1% (56/127) vs. 31.2% (38/122), P=0.035) in NIH and higher prevalence of ISNA (83.5% (106/127) vs. 72.1% (88/122), P=0.031). According to multivariable logistic regression, the independent predictive factor for ISNA was female ( OR=0.44, 95% CI 0.21-0.90, P=0.026). Female ( OR=0.48, 95% CI 0.23-0.99, P=0.046) and low-density lipoprotein cholesterol level ( OR=1.62, 95% CI 1.01-2.59, P=0.046) were independent predictive factors, respectively, for lipid ISNA. Calcified ISNA was independently associated with time interval of post-DES implantation ( OR=1.18, 95% CI 1.07-1.29, P=0.001). Conclusion:DES-ISR patients with a time interval of>5 years after stent implantation have a higher prevalence of ISNA and more complex lesions. Gender, the level of low-density lipoprotein cholesterol, and the time interval post-DES implantation are independently correlated with ISNA, lipid ISNA, and calcified ISNA.