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.

In cases where a tracheal injury exceeds half the length of the adult trachea or one-third of the length of the child trachea, it becomes difficult to perform end-to-end anastomosis after tracheal resection due to excessive tension at the anastomosis site. In such cases, tracheal replacement therapy is required. Advances in tissue engineering technology have led to the development of tissue engineering tracheal substitutes, which have promising applications. Hydrogels, which are highly hydrated and possess a good three-dimensional network structure, biocompatibility, low immunogenicity, biodegradability, and modifiability, have had wide applications in the field of tissue engineering. This article provides a review of the characteristics, advantages, disadvantages, and effects of various hydrogels commonly used in tissue engineering trachea in recent years. Additionally, the article discusses and offers prospects for the future application of hydrogels in the field of tissue engineering trachea.

Heart failure is a complex clinical syndrome and pediatric heart failure (PHF) has a high mortality rate. Early diagnosis is crucial for treatment and management of PHF. In clinical practice, various tests and examinations play a key role in the diagnosis of PHF, including continuously updated biomarkers, echocardiography, and cardiac magnetic resonance imaging. This article focuses on summarizing relevant research on biomarkers, examinations, combined testing, clinical models, and the grading and staging of PHF diagnosis, aiming to provide insights and directions for the diagnosis of PHF.
Humans ; Heart Failure/diagnosis* ; Child ; Biomarkers/blood* ; Echocardiography ; Magnetic Resonance Imaging

OBJECTIVE: To retrospectively analyze the clinical characteristics, co-mutated genes in newly diagnosed acute myeloid leukemia (AML) patients with NRAS and KRAS gene mutations, and the impact of NRAS and KRAS mutations on prognosis. METHODS: The clinical data and next-generation sequencing results of 80 newly diagnosed AML patients treated at our hospital from December 2018 to December 2023 were collected. The clinical characteristics, co-mutated genes of NRAS and KRAS , and the impact of NRAS and KRAS mutations on prognosis in newly diagnosed AML patients were analyzed. RESULTS: Among 80 newly diagnosed AML patients, NRAS mutations were detected in 20 cases(25.0%), and KRAS mutations were detected in 9 cases(11.3%). NRAS mutations predominantly occurred at codons 12 and 13 of exon 2, as well as codon 61 of exon 3, while KRAS mutations were most commonly occurred at codons 12 and 13 of exon 2, all of which were missense mutations. There were no statistically significant differences observed in terms of age, sex, white blood cell count(WBC), hemoglobin(Hb), platelet count(PLT), bone marrow blasts, first induction chemotherapy regimen, CR1/CRi1 rates, chromosome karyotype, 2022 ELN risk classification and allogeneic hematopoietic stem cell transplantation(allo-HSCT) among the NRAS mutation group, KRAS mutation group and NRAS/KRAS wild-type group (P >0.05). KRAS mutations were significantly correlated with PTPN11 mutations (r =0.344), whereas no genes significantly associated with NRAS mutations were found. Survival analysis showed that compared to the NRAS/KRAS wild-type group, patients with NRAS mutation had a relatively higher 5-year overall survival (OS) rate and relapse-free survival (RFS) rate, though the differences were not statistically significant (P =0.097, P =0.249). Compared to the NRAS/KRAS wild-type group, patients with KRAS mutation had a lower 5-year OS rate and RFS rate, with no significant differences observed (P =0.275, P =0.442). There was no significant difference in the 5-year RFS rate between the KRAS mutation group and NRAS mutation group (P =0.157), but the 5-year OS rate of patients with KRAS mutation was significantly lower than that of patients with NRAS mutation (P =0.037). CONCLUSION In newly diagnosed AML patients, KRAS mutation was significantly correlated with PTPN11 mutation. Compared to patients with NRAS/KRAS wild-type, those with NRAS mutation showed a more favorable prognosis, while patients with KRAS mutation showed a poorer prognosis; however, these differences did not reach statistical significance. Notably, the prognosis of AML patients with KRAS mutation was significantly inferior compared to those with NRAS mutation.
Humans ; Leukemia, Myeloid, Acute/diagnosis* ; Mutation ; Prognosis ; Proto-Oncogene Proteins p21(ras)/genetics* ; GTP Phosphohydrolases/genetics* ; Retrospective Studies ; Membrane Proteins/genetics* ; Female ; Male ; Middle Aged ; Adult ; Aged

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

Objective To analyze the epidemiological characteristics and trends of the incidence and mortality of biliary tract cancer in Shanghai from 2002 to 2020. Methods Data on new cases and deaths of malignant tumors of the gallbladder, extrahepatic bile ducts, and other biliary tract organs from 2002 to 2020 were obtained from the Population-based Cancer Registry and Vital Statistics System of Shanghai Municipal Center for Disease Control and Prevention. Cases or deaths, proportion, crude rate, age-specific rate, age-standardized rate (ASR) and others were calculated stratified by year of diagnosis or death, gender and age-group. ASRs were calculated using Segi′s 1960 world standard population. Trends of the annual percent change (APC) of ASRs, age-specific rates and proportions of new cases with selected diagnostic character of biliary tract cancer stratified by different groups were analyzed by Joinpoint analysis software. Results Annual new cases of biliary tract cancer in Shanghai increased from 963 in 2002 to 1 537 in 2020, with ASR of incidence changing from 3.91/10⁵ to 3.59/10⁵. Annual deaths increased from 830 to 1 225, with ASR of mortality decreased from 3.36/10⁵ to 2.69/10⁵. In 2020, the crude rate of incidence of biliary tract cancer was 10.43/10⁵ (9.54/10⁵ in males and 11.30/10⁵ in females) in Shanghai, and the ASR was 3.59/10⁵ (3.54/10⁵ in males and 3.61/10⁵ in females), with no statistically significant gender difference (P=0.731). The crude rate of mortality was 8.31/10⁵ (7.60/10⁵ in males and 9.00/10⁵ in females), and the ASR was 2.69/10⁵ (2.69/10⁵ in males and 2.66/10⁵ in females), also with no significant gender difference (P=0.874). Age-specific nunbers and rates of incidence and mortality generally increased with aging. Stratified by gender, the trend of ASRs of incidence of biliary tract cancer in Shanghai in males showed no significant change (P=0.179) from 2002 to 2020, nor did that of ASRs of mortality (P=0.738). In females, the ASRs of incidence decreased at an average annual rate of 1.58% (P<0.001), while the trend of ASRs of mortality showed no significant change from 2002 to 2011 (P=0.774), but ASRs decreased at an average annual rate of 3.72% from 2011 to 2020 (P<0.001). Among new cases, the proportions of morphological verification increased, while the proportions of imaging verification decreased. The gallbladder was the most common site, but its proportions decreased significantly, whereas the proportions of extrahepatic bile duct increased from 25.75% to 42.88%. Over 60% of cases were unknown stage at diagnosis, while the combined proportions of stages Ⅰ-Ⅲ remained less than that of stage Ⅳ. Conclusions The ASRs for incidence and mortality of biliary tract cancer in Shanghai remain relatively high, with distinct epidemiological characteristics. The improvement in the diagnosis and treatment of biliary diseases maybe have impact on the incidence patterns of biliary tract cancer in Shanghai, but the effect on increasing survival rates and reducing mortality rates is relatively lagging. It needs a big progress to advance the screening, diagnosis, and survival of biliary tract cancer in Shanghai. This study provides a foundation for further research and prevention strategies for biliary tract cancer.

Objective To analyze the characteristics of methadone-related poisoning cases and provide a reference for forensic identification.Methods A total of 71 cases of methadone-related poisoning re-ported from 1998 to 2023 in China and 26 cases of methadone-related deaths reported from 2013 to 2018 in Italy were retrieved from databases including PubMed,Wanfang and CNKI.The general infor-mation,forensic pathological and toxicological characteristics were analyzed.Results Among the 71 methadone-related poisoning cases in China,there were 54 cases(76.06%)of poisoning without death and 17 cases(23.94%)of death from poisoning.There were 54 male cases(76.06%),and 51 cases(71.83%)aged 19 to 39 years old.There were 35 cases(49.30%)of poisoning caused by methadone alone,and 32 cases(45.07%)were poisoning caused by methadone combined with other substances or drugs including heroin and benzodiazepines.Most of the poisoned showed coma,respiratory depres-sion and miosis.Signs of asphyxia were often found by autopsy.The mass concentration of methadone detected in the blood of 6 deceased ranged from 0.112 to 3.000 mg/L.Among the 26 methadone-related deaths in Italy,22 cases were male(84.62%).There were 6 cases(23.08%)caused by methadone alone,and 20 cases(76.92%)died from methadone combined with other substances or drugs.The mass concentration of methadone in blood ranged from 0.181 to 4.059 mg/L.Conclusion The propor-tions of poisoning cases caused by methadone alone and methadone combined with other substances or drugs are comparable in China.The majority of deceased caused by methadone poisoning shows typi-cal triad of coma,respiratory depression and miosis,which helps forensic experts determine the cause of death related to methadone.Additionally,it is necessary to increase the routine testing of the con-centration of methadone and its combined substances or drugs in deceased,and collect data for the in-terpretation of the results of related cases.

Objective To investigate the effect of total paeony glycoside(TPG)on airway remodeling in bronchial asthma mice and its underlying mechanisms.Methods Forty-eight BALB/c mice were randomly divided into control group,model group,ovalbumin+budesonide group(OVA+BUD group),and OVA+TPG group,with 12 mice in each group.Except the control group,mice in other groups were sensitized by intraperitoneal injection of 10%OVA aluminum hydroxide suspension,and then stimulated by atomized inhalation of 1%OVA to establish mouse asthma model.One hour before each inhalation of OVA,mice in OVA+BUD group were atomized with 2 ml BUD suspension,and mice in OVA+TPG group were given 5 g/kg TPG by intragastric administration.Lung tissues and bronchoalveolar lavage fluid(BALF)of mice from each group were collected,and the pathological morphology of the lung tissues was detected by hematoxylin-eosin(HE)and periodic acid schiff(PAS)staining.Inflammatory cell counts[white blood cell(WBC),neutrophil(NEU),eosinophils(EOS),and leukomonocyte(LYM)]in BALF were detected by Wright-giemsa staining.The contents of inflammatory factors including tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β)and IL-6 in BALF were determined by ELISA.Airway remodeling proteins[fibronectin,α-smooth muscle actin(α-SMA),collagen Ⅰ]and NOD-like receptor protein 3(NLRP3)inflammasome-related proteins[NLRP3,cleaved caspase-1,apoptosis-associated speck-like protein(ASC)]levels were detected by Western blotting.Human bronchial smooth muscle cells(HBSMCs)were divided into control group(normal culture),transforming growth factor(TGF)-β1 group(culture medium containing 10 ng/ml TGF-β1),and TGF-β1+TPG group(culture medium containing 10 ng/ml TGF-β1 and 50 μg/ml TPG).Cell proliferation was detected by CCK-8 method,and Western blotting was used to detect the expression of airway remodeling proteins and NLRP3 inflammasome-related proteins.Results Compared with control group,model group exhibited increased infiltration of inflammatory cell in lung tissues,mucosal epithelium hyperplasia,narrowed bronchial lumen narrowed,tube wall thickened,increased cup cells and mucus secretion,and an elevated pathological score of lung injury(P<0.05);the number of inflammatory cells(WBC,NEU,EOS,and LYM)and the levels of inflammatory factors(TNF-α,IL-1β,and IL-6)in BALF were increased(P<0.05),and the expressions of fibronectin,α-SMA,collagen Ⅰ,NLRP3,cleaved caspase-1 and ASC were elevated(P<0.05).Compared with model group,BUD or TPG treatment effectively reduced asthma symptoms,improved lung histopathology injury,inhibited bronchial wall thickening,significantly reduced the number of inflammatory cells(WBC,NEU,EOS,and LYM)and the content of inflammatory factors(TNF-α,IL-1β,and IL-6)in BALF,and inhibited expression of fibronectin,α-SMA,collagen Ⅰ,NLRP3,cleaved caspase-1 and ASC(P<0.05).Compared with control group,the proliferation rate of HBSMCs was increased,and the protein expression levels of fibronectin,α-SMA,collagen Ⅰ,NLRP3,cleaved caspase-1 and ASC were increased in TGF-β1 group(P<0.05).Compared with TGF-β1 group,TPG treatment decreased cell proliferation and inhibited the protein expression of fibronectin,α-SMA,collagen Ⅰ,NLRP3,cleaved caspase-1 and ASC(P<0.05).Conclusion TPG may alleviate airway remodeling and asthma symptoms by decreasing the expression of airway remodeling-related proteins,inhibiting NLRP3 inflammasome activation,and reducing the inflammatory response.

Objective sampling method was used to conduct a questionnaire survey on outpatients in two hospitals in Guangdong province in order to evaluate patients’ satisfaction with the quality of medical service. This paper explored the factors that affect patients’ evaluation of medical service quality, and found that patients’ age was negatively correlated with the evaluation of medical service quality. It is suggested that the establishment of friendly medical institutions should be carried out according to the national policy. At the same time, the management mechanism of hospital should be improved, the number of medical service centers for "efficient" should be increased, and the medical service personnel should be regularly trained; carry out medical knowledge education in community, improve the popularization of personal medical knowledge and close the cognitive gap between doctors and patients.