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 evaluate the bioequivalence and safety of ibuprofen arginine granules test and reference formulations in Chinese healthy volunteers under fasting and postprandial conditions,and to provide evidence for consistency evaluation and clinical application of the drugs.Methods A single-center,single-dose,randomized,open-label,fasting and postprandial,two-period,two-crossover trial design was used.Twenty-four healthy Chinese volunteers were enrolled in the fasting and postprandial trial,respectively.The test preparation and reference preparation of ibuprofen arginine granules 0.4 g were taken orally in a randomized crossover single dose.Data analysis was performed using Phoenix WinNonlin 8.3.Results In the fasting group,the main pharmacokinetic parameters of ibuprofen in plasma after administration of the test and reference formulations of ibuprofen arginine granules were as follows:Cmax were(51.07±7.43)and(50.10±7.64)μg·mL-1;AUC0-,were(122.78±20.62)and(119.94±21.03)μg·h·mL-1;AUC0_∞ were(125.84±21.31)and(122.64±21.87)μg·h·mL-1,respectively.In the postprandial group,the main pharmacokinetic parameters of ibuprofen in plasma after administration of the test and reference formulations of ibuprofen arginine granules were as follows:Cmax were(17.47±3.56)and(17.89±4.47)μg·mL-1;AUC0-twere(114.33±17.12)and(122.13±29.46)μg·h·mL-1;AUC0_∞ were(134.04±36.72)and(133.96±30.35)μg·h·mL-1,respectively.The 90％confidence intervals of the geometric mean ratio of the two preparations were as follows:Cmax 97.96％-106.02％,AUC0_t 98.77％-105.14％,AUC0-∞ 99.34％-105.19％in fasting group;in postprandial group,Cmax was 92.37％-103.05％,AUC0-t was 93.31％-99.56％,AUC0-∞ was 93.89％-102.91％.Conclusion The test preparation and reference preparation of ibuprofen arginine granules in this study are bioequivalent in healthy adult Chinese volunteers.

Objective The contents of 11 nucleosides and base components in 10 batches of samples from 5 provinces(cities)including Chongqing,Yunnan and Shaanxi were determined,and the differences in nucleosides and base components in Fritillaria taipaiensis were compared by chemometric analysis,and the quality was comprehensively evaluated,so as to provide a reference for the cultivation of excellent varieties and the selection of medicinal materials.Methods Nucleoside and base components were extracted from Fritillaria taipaiensis by ultrasonication in aqueous solutions,and the content of each component was determined by HPLC-DAD method.The origin was classified by principal component analysis(PCA)and hierarchical cluster analysis(HCA).Partial least squares discriminant analysis(PLS-DA)was used to determine the differentiated index components in Fritillaria taipaiensis.Then the differences in the contents of the index components among samples from different origins were compared.Results It was found that 11 nucleoside and base components differed significantly among different origins of Fritillaria taipaiensis.Principal component analysis and hierarchical cluster analysis indicated that all samples could be clustered into 4 categories.Five characteristic components,including uracil,cytosine,uridine,inosine,and adenosine,were identified by PLS-DA.The nucleosides and bases in samples from Chongqing and Hubei were relatively high,and the quality of the samples was comparatively superior.Conclusion This method is simple,reproducible,accurate and reliable.It has screened out the index nucleoside and base components in the identification of Fritillaria taipaiensis of different origins,which can be used to initially elucidate the differences of samples between different origins.Additionally,it can better reflect the quality of Fritillaria taipaiensis,and can provide reference for the selection of procurement origin and the quality control for Fritillaria taipaiensis.

Sishen Pills is a classic prescription for the treatment of spleen and kidney diarrhea,which has the effect of warming the kidney and the spleen,astringent intestine and antidiarrheal.In modern clinical application,the modified prescriptions based on Sishen Pills,combined with other treatments of TCM and integrated traditional Chinese and Western medicine are often used to treat ulcerative colitis with spleen-kidney yang deficiency syndrome,and the curative effect is remarkable.Experimental pharmacological studies have shown that Sishen Pills may achieve the purpose of ulcerative colitis by regulating the expression of related signaling pathway proteins,regulating inflammatory factors,inhibiting inflammatory response,regulating autophagy,regulating intestinal flora,improving intestinal mucosal permeability,repairing intestinal mucosal barrier,regulating cellular energy metabolism,anti-oxidative stress,regulating cellular immune function,etc.In this article,the research status of Sishen Pills in the treatment of ulcerative colitis was sorted out and summarized,in order to provide reference for further study of its mechanism and clinical application.

Analyzing polysorbate 20(PS20)composition and the impact of each component on stability and safety is crucial due to formulation variations and individual tolerance.The similar structures and polarities of PS20 components make accurate separation,identification,and quantification challenging.In this work,a high-resolution quantitative method was developed using single-dimensional high-performance liquid chromatography(HPLC)with charged aerosol detection(CAD)to separate 18 key components with multiple esters.The separated components were characterized by ultra-high-performance liquid chro-matography-quadrupole time-of-flight mass spectrometry(UHPLC-Q-TOF-MS)with an identical gradient as the HPLC-CAD analysis.The polysorbate compound database and library were expanded over 7-time compared to the commercial database.The method investigated differences in PS20 samples from various origins and grades for different dosage forms to evaluate the composition-process relationship.UHPLC-Q-TOF-MS identified 1329 to 1511 compounds in 4 batches of PS20 from different sources.The method observed the impact of 4 degradation conditions on peak components,identifying stable components and their tendencies to change.HPLC-CAD and UHPLC-Q-TOF-MS results provided insights into fingerprint differences,distinguishing quasi products.

Non-alcoholic fatty liver disease(NAFLD)is one of the common chronic liver diseases in the world.The molecular mechanism of NAFLD is complex,involving many signal molecules,and the vitamin D(VD)/VDBP/vitamin D receptor(VDR)axis is also involved.VD is a lipid-soluble steroid,which can participate in the regula-tion of lipid metabolism,insulin secretion,immune function,inflammatory response and other biological processes.Stud-ies have shown that VD deficiency is closely related to liver lipid accumulation,inflammation,insulin resistance,oxida-tive stress,intestinal flora imbalance,autophagy,apoptosis,pyroptosis and fibrosis,and plays an important role in the oc-currence and development of NAFLD.This paper reviews the research progress on Vitamin D in recent years in the field of NAFLD,including the physiological characteristics of VD and its role in the NAFLD mechanism,so as to provide referenc-es for the prevention and treatment of NAFLD.

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

The effect of porcine SIRT5 on replication of foot and mouth disease virus type O(FMDV-O)and the underlying regulatory mechanism were investigated.Western blot and RT-qPCR analyses were employed to monitor expression of endoge-nous SIRT5 in PK-15 cells infected with FMDV-O.Three pairs of SIRT5-specific siRNAs were synthesized.Changes to SIRT5 and FMDV-O protein and transcript levels,in addition to virus copy numbers,were measured by western blot and RT-qPCR analyses.PK-15 cells were transfected with a eukaryotic SIRT5 expression plasmid.Western blot and RT-qPCR analyses were used to explore the impact of SIRT5 overexpression on FMDV-O replication.Meanwhile,RT-qPCR analysis was used to detect the effect of SIRT5 overexpression on the mRNA expression levels of type I interferon-stimulated genes induced by SeV and FMDV-O.The results showed that expression of SIRT5 was up-regulated in PK-15 cells infected with FMDV-O and siRNA interfered with SIRT5 to inhibit FMDV-O replication.SIRT5 overexpression promoted FMDV-O replication.SIRT5 over-expression decreased mRNA expression levels of interferon-stimulated genes induced by SeV and FMDV-O.These results suggest that FMDV-O infection stimulated expression of SIRT5 in PK-15 cells,while SIRT5 promoted FMDV-O rep-lication by inhibiting production of type I interferon-stimula-ted genes.These findings provide a reference to further ex-plore the mechanism underlying the ability of porcine SIRT5 to promote FMDV-O replication.

Objective To observe the inter-observer consistency of diameter of inferior vena cava(IVC)and IVC collapsibility index(IVCCI)measured and assessed with echocardiography and the correlations with right heart parameters in patients with right heart dysfunction.Methods Forty-seven patients with right heart dysfunction were prospectively recruited in observation group,while 50 adults with normal right heart function were taken as controls(control group).Parameters of the right heart were obtained with echocardiography,including the right ventricular fractional area change(FAC),the tricuspid annular plane systolic excursion(TAPSE),the myocardial performance index(MPI),the tricuspid annular systolic velocity(S')as well as early and late diastolic velocity(e',a')and e'/a' ratio,also the tricuspid valve orifice early and late diastolic velocities(E,A)and E/A ratio and E/e',the vena contracta width of tricuspid regurgitation(TR-VCW),the maximum velocity of tricuspid regurgitation(TR-Vmax),the pulmonary artery systolic pressure(PASP)and right atrial area(RAA).Besides,the maximal and minimal diameter of IVC(IVCDmax,IVCDmin)during the respiratory cycle were measured with two dimensional(2D)ultrasound and anatomical M-mode ultrasound,respectively,and the IVCCI were calculated.Then 20 subjects were randomly selected from each group,and IVC parameters were obtained.The basic data,right heart parameters and IVC parameters were compared between groups,intra-class correlation coefficient(ICC)between 2 sonographers of IVC parameters were calculated,and correlations between IVC parameters and right heart parameters were assessed.Results No significant differences of gender,age nor body mass index(BMI)was detected between groups(all P＞0.05).Compared with those in control group,MPI,e',e'/a',E,A,E/e',TR-VCW,TR-Vmax,PASP and RAA increased,whereas FAC,TAPSE,S'and a'decreased in observation group(all P＜0.05).The inter-observer consistencies were good for IVCDmax and IVCCI in observation group(ICC=0.787-0.971)and IVCDmax in the control group(ICC=0.971,0.964)obtained with 2D ultrasound and anatomical M-mode ultrasound,but poor for IVCCI in control group(ICC=0.169,0.456).Compared with those in control group,IVC parameters 2D-IVCDmax,2D-IVCDmin,M-IVCDmax and M-IVCDmin increased but 2D-IVCCI and M-IVCCI decreased in observation group(all P＜0.05).In control group,2D-IVCDmax was weakly negatively correlated with TAPSE and a'(r=-0.392,-0.364),weakly positively correlated with e'/a',E,E/A,TR-VCW and RAA(r=0.396,0.483,0.461,0.565,0.582),2D-IVCCI was weakly negatively correlated with TR-VCW and RAA(r=-0.386,-0.380),while M-IVCDmax was weakly negatively correlated with TAPSE(r=-0.384),and weakly positively correlated with e'/a',E,E/A,TR-VCW and RAA(r=0.357,0.453,0.473,0.549,0.550),M-IVCCI was weakly negatively correlated with MPI,E,TR-VCW and RAA(r=-0.347,-0.337,-0.475,-0.421).Conclusion In patients with right heart dysfunction,IVCD diameter and IVCCI obtained with echocardiography had good inter-observer consistencies.Parameters obtained with 2D ultrasound and anatomic M-mode ultrasound had certain relations with the right heart parameters.

Pathological mechanism of ulcerative colitis(UC)is not fully clear,which may be the result of Th17/Treg immune imbalance and the interaction of multiple complex factors.Numerous studies have found that classical TCM prescriptions,experienced formulas and TCM active components could regulate Th17/Treg balance by intervening in cytokines,transcription factors,and signaling pathways,restore intestinal mucosal immune function,suppress intestinal mucosal inflammatory response,and repair intestinal mucosal barrier damage.Based on the research status of UC,Th17/Treg balance and TCM treatment,this article reviewed the relationship between Th17/Treg balance and UC,and explained the key role of Th17/Treg balance in the occurrence and development of UC.At the same time,the Chinese materia medica targeting to regulate the balance of Th17/Treg in the treatment of UC in recent years was summarized,in order to provide reference for the treatment of UC.