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 clinical efficacy of Xiaojianzhong Decoction plus Dachaihu Decoction in the treatment of chronic atrophic gastritis(CAG),and to provide scientific evidence for the clinical application of the formula.Methods The clinical observation was carried out in 80 CAG patients with spleen deficiency and stasis-heat syndrome of normal-people pulse type(the ratio of patients'pulse to the number of respirations within one minute being 4-5 evaluated by Changsangjun pulse-taking method)who attended the clinic of the Department of Gastroenterology of Shunde Hospital,Guangzhou University of Chinese Medicine,from January 2020 to December 2023.According to the treatment method,the patients were divided into the treatment group and the control group,with 40 cases in each group.The control group was given conventional western medicine treatment,and the treatment group was given Xiaojianzhong Decoction plus Dachaihu Decoction.Seven days constituted one course of treatment,and the treatment covered 6 months.The changes of traditional Chinese medicine(TCM)syndrome score,gastroscopy score,pathological score and gastric function indicators in the two groups were observed before and after the treatment.After treatment,the clinical efficacy and safety of the two groups were evaluated.Results(1)After 6 months of treatment,the total effective rate of the treatment group was 90.00%(36/40),and that of the control group was 60.00%(24/40).The intergroup comparison(tested by chi-square test)showed that the efficacy of the treatment group was significantly superior to that of the control group(P＜0.05).(2)After treatment,the scores of TCM syndromes in the two groups were significantly lower than those before treatment(P＜0.05),and the decrease of the scores in the treatment group was superior to that in the control group(P＜0.05).(3)After treatment,the gastroscopy scores of the two groups were significantly lower than those before treatment(P＜0.05),but there was no significant difference between the two groups after treatment(P＞0.05).(4)After treatment,the total pathological scores of the two groups and the scores of the gastric mucosal atrophy and intestinal metaplasia of the gastric antrum,gastric angle and gastric body in the treatment group were significantly improved compared with those before treatment(P＜0.05),and the improvement of the gastroscopy scores in the treatment group was significantly superior to that in the control group(P＜0.05).No statistically significant differences were presented in the scores of the gastric mucosal dysplasia and chronic inflammation of gastric antrum,gastric angle and gastric body in the two groups and in the scores of the gastric mucosal atrophy and intestinal metaplasia of gastric antrum,gastric angle and gastric body in the control group when compared with those before treatment(P＞0.05).(5)After treatment,the serum levels of gastric function indicators of pepsinogen Ⅰ(PGⅠ),pepsinogen Ⅱ(PGⅡ)and gastrin 17(G-17)in the two groups were significantly decreased compared with those before treatment(P＜0.05),and the decrease in the treatment group was significantly superior to that in the control group(P＜0.05).(6)There were no obvious adverse reactions occurring in the two groups during the treatment,with high safety.Conclusion Xiaojianzhong Decoction plus Dachaihu Decoction can significantly enhance the clinical efficacy of CAG patients with spleen deficiency and stasis-heat syndrome of normal-people pulse type,significantly improve the gastrointestinal function and pathological scores of the patients,and has high safety.

Currently,the research or publications related to the clinical comprehensive evaluation of Chinese patent medicine are increasing,which attracts the broad attention of all circles. According to the completed clinical evaluation report on Chinese patent medicine,there are still practical problems and technical difficulties such as unclear responsibility of the evaluation organization,unclear evaluation subject,miscellaneous evaluation objects,and incomplete and nonstandard evaluation process. In terms of evaluation standards and specifications,there are different types of specifications or guidelines with different emphases issued by different academic groups or relevant institutions. The professional guideline is required to guide the standardized and efficient clinical comprehensive evaluation of Chinese patent medicine and further improve the authority and quality of evaluation. In combination with the characteristics of Chinese patent medicine and the latest research achievement at home and abroad,the detailed specifications were formulated from six aspects including design,theme selection,content and index,outcome,application and appraisal,and quality control. The guideline was developed based on the guideline development requirements of China Assoication of Chinese medicine. After several rounds of expert consensus and public consultation,the current version of the guideline has been developed.
Medicine, Chinese Traditional ; Nonprescription Drugs ; Consensus ; China ; Reference Standards ; Drugs, Chinese Herbal

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Objective: To explore the risk factors of pulmonary hypertension (PH) in premature infants with bronchopulmonary dysplasia (BPD), and to establish a prediction model for early PH. Methods: This was a retrospective cohort study. Data of 777 BPD preterm infants with the gestational age of <32 weeks were collected from 7 collaborative units of the Su Xinyun Neonatal Perinatal Collaboration Network platform in Jiangsu Province from January 2019 to December 2022. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 8∶2 by computer, and non-parametric test or χ² test was used to examine the differences between the two retrospective cohorts. Univariate Logistic regression and multivariate logistic regression analyses were used in the training cohort to screen the risk factors affecting the PH associated with BPD. A nomogram model was constructed based on the severity of BPD and its risk factors,which was internally validated by the Bootstrap method. Finally, the differential, calibration and clinical applicability of the prediction model were evaluated using the training and verification queues. Results: A total of 130 among the 777 preterm infants with BPD had PH, with an incidence of 16.7%, and the gestational age was 28.7 (27.7, 30.0) weeks, including 454 males (58.4%) and 323 females (41.6%). There were 622 preterm infants in the training cohort, including 105 preterm infants in the PH group. A total of 155 patients were enrolled in the verification cohort, including 25 patients in the PH group. Multivariate Logistic regression analysis revealed that low 5 min Apgar score (OR=0.87, 95%CI 0.76-0.99), cesarean section (OR=1.97, 95%CI 1.13-3.43), small for gestational age (OR=9.30, 95%CI 4.30-20.13), hemodynamically significant patent ductus arteriosus (hsPDA) (OR=4.49, 95%CI 2.58-7.80), late-onset sepsis (LOS) (OR=3.52, 95%CI 1.94-6.38), and ventilator-associated pneumonia (VAP) (OR=8.67, 95%CI 3.98-18.91) were all independent risk factors for PH (all P<0.05). The independent risk factors and the severity of BPD were combined to construct a nomogram map model. The area under the receiver operating characteristic (ROC) curve of the nomogram model in the training cohort and the validation cohort were 0.83 (95%CI 0.79-0.88) and 0.87 (95%CI 0.79-0.95), respectively, and the calibration curve was close to the ideal diagonal. Conclusions: Risk of PH with BPD increases in preterm infants with low 5 minute Apgar score, cesarean section, small for gestational age, hamodynamically significant patent ductus arteriosus, late-onset sepsis, and ventilator-associated pneumonia. This nomogram model serves as a useful tool for predicting the risk of PH with BPD in premature infants, which may facilitate individualized early intervention.
Infant ; Male ; Infant, Newborn ; Humans ; Pregnancy ; Female ; Bronchopulmonary Dysplasia/epidemiology* ; Infant, Premature ; Hypertension, Pulmonary/epidemiology* ; Retrospective Studies ; Nomograms ; Ductus Arteriosus, Patent/epidemiology* ; Pneumonia, Ventilator-Associated/complications* ; Cesarean Section/adverse effects* ; Gestational Age ; Risk Factors ; Sepsis

OBJECTIVE To explore the efficacy of Sour Jujube Seed Decoction combined with Huanglian Wendan Decoction on adult chronic insomnia and its effect on hypnotic withdrawal.METHODS 187 patients with chronic insomnia were included for anal-ysis,including 102 in the traditional Chinese medicine(TCM)group and 85 in the western medicine group.The TCM group was trea-ted with Sour Jujube Seed Decoction combined with Huanglian Wendan Decoction,while the western medicine group was treated with benzodiazepine under the consideration of doctor.The intervention period was 1 month,with assessments using the Pittsburgh Sleep Quality Index(PSQI)conducted before and after the intervention.Follow-up evaluations were performed at 3 months and 6 months re-spectively after the intervention.RESULTS There was no significant difference between the two groups at baseline.After the inter-vention,the PSQI scores of patients in both groups were significantly improved(P<0.01).Among them,the TCM group was better than the western medicine group in the improvement of sleep quality and sleeping pills,total PSQI score reduction(P<0.01).The re-sults of linear regression analysis showed that after controlling for confounding factors,the regression coefficients of the TCM group in two different models were1.821 and 1.922 respectively,and the former was statistically significant(P<0.05).By screening patients who took hypnotics at baseline in the TCM group and comparing them with those in the western medicine group,the influencing factors of hypnotic withdrawal were analyzed.During the 3-month follow-up,25 out of 39 patients in the TCM group and 17 out of 80 patients in the western medicine group had hypnotic withdrawal(χ2= 19.25,P<0.001);during the 6-month follow-up,23 of the 39 patients in the TCM group and 18 of the 79 patients in the western medicine group had hypnotic withdrawal(χ2= 13.53,P<0.001),the with-drawal rate of patients in the TCM group was significantly higher than that in the western medicine group.Further regression analysis showed that after adjusting for confounding factors,the results showed that the western medicine group had a significantly higher rate of not withdrawal than the TCM group at 3 months(OR=5.50,95%CI:2.30～13.72)and 6 months(OR=6.43,95%CI:2.54～17.77),and the results were statistically different(P<0.05).CONCLUSION Sour Jujube Seed Decoction combined with Huangli-an Wendan Decoction is effective in treating adult chronic insomnia and assisting in hypnotic withdrawal.

ObjectiveTo improve the current standard of Belladonnae Herba in the 2020 edition of Chinese Pharmacopoeia. MethodTaking hyoscyamine sulfate， atropine sulfate and scopoletin as reference substances， and ethyl acetate-methanol-concentrated ammonia（17∶4∶2）as developing solvent， thin layer chromatography （TLC） was applied in the qualitative identification of Belladonnae Herba. The moisture， total ash and ethanol-soluble extract of Belladonnae Herba were determined based on the general principles in the 2020 edition of Chinese Pharmacopoeia （volume Ⅳ）. The contents of hyoscyamine sulfate and scopolamine hydrobromide were analyzed by high performance liquid chromatography （HPLC） with mobile phase of acetonitrile-54 mmol·L^-1 phosphate buffer solution （14∶86）， flow rate of 1.0 mL·min^-1 and detection wavelength at 210 nm. ResultThe spots in the TLC were clear with good separation and specificity. Hyoscyamine sulfate and scopolamine hydrobromide showed a good linearity with peak area in the range of 0.024 7-0.789 6 g·L^-1 （r=0.999 9） and 0.003 9-0.124 0 g·L^-1 （r=0.999 9）， the average recoveries of these two ingredients were 100.29% （RSD 1.6%） and 99.04% （RSD 1.4%）， respectively. The limits for moisture， total ash in Belladonnae Herba should be less than 13.0% and the limit for the ethanol-soluble extract should be more than 10.0%. Due to the low content and wide variation of scopolamine hydrobromide， the content of hyoscyamine sulfate should not be less than 0.098%. ConclusionThe established method is simple， specific and reproducible， which can be used to improve the quality control standard of Belladonnae Herba.

Objective:To understand the positive rate of 2019 novel coronavirus (2019-nCoV) specific IgG antibody induced by Coronavirus Disease 2019 (COVID-19) inactivated vaccine in healthy population in Xizang Autonomous Region, and evaluate the immune effect of the vaccine.Methods:Serum samples were collected from COIVD-19 vaccine immunized health population without history of 2019-nCoV infection from six prefecture-level cities in Xizang Autonomous Region. The IgG antibody against 2019-nCoV were tested by chemiluminescence method. Then, the positive rate of IgG antibody was analyzed for different immunization histories and age groups.Results:A total of 22 255 participants were enrolled in this survey. After full-access (two doses of vaccine) and booster immunization, the overall positive rate of specific IgG antibody against 2019-nCoV was 96.38%. The positive rate of IgG antibody in the booster immunized population was 97.12%, which was much higher than the 88.38% in the full-access immunization population, the difference is statistically significant ( χ2=381.11, P<0.001). There was a significant differences in the positive rates of specific IgG antibodies in different age groups ( χ2=138.28, P<0.001). Especially in the younger age groups, including less than 10 years old and the 11-20 years age group, the positive rate of specific IgG antibody were 93.44% and 89.03% respectively, which were lower than those in other age groups. Except for Naqu city and the age group ≤ 10 years old, the differences in antibody positivity rates were statistically significant between different age groups in the same region and between the different regions in the same age group for the two populations with different immunization histories ( P<0.05). Conclusions:The COVID-19 inactivated vaccine showed a good immune effect in the healthy population in Xizang Autonomous Region, and the booster immunization helps to increase the positive rate of specific IgG antibody in healthy population.

Objective:To investigate the clinical effect of Tiaomai mixture combined with metoprolol tartrate on premature ventricular contraction in coronary heart disease （CHD） due to Qi-Yin deficiency and stagnated heat in blood vessel. Method:A total of 95 patients with CHD complicated with premature ventricular contraction were randomized into a treatment group and a control group. Four cases dropped out， leaving 91 cases （45 in the treatment group and 46 in the control group） included in the follow-up. On the basis of routine treatments for CHD， patients in the control group were further treated with metoprolol tartrate， while those in the treatment group received metoprolol tartrate plus Tiaomai mixture. Such curative effect and safety indexes as traditional Chinese medicine （TCM） syndrome score， electrocardiogram （ECG）， and 24 h dynamic ECG were observed before and after four-week treatment. Result:After treatment， the therapeutic effect on arrhythmia in the treatment group was better than that in the control group（P<0.05）. The treatment group was superior to the control group in reducing the frequency of premature ventricular contraction （P<0.05）， improving the Lown grade （P<0.01）， increasing the heart rate variability index （P<0.05）， and ameliorating the QT dispersion in ECG （P<0.05）， hypersensitive C-reactive protein， and homocysteine（P<0.05）. As revealed by comparison with those before treatment， both interventions improved TCM syndrome， with better outcomes observed in the treatment group （P<0.01）， manifested as the alleviation of shortness of breath， fatigue， dry mouth with desire to drink， and tongue and pulse manifestations （P<0.01）. Conclusion:Tiaomai mixture improves the clinical efficacy against arrhythmia in CHD patients by regulating the heart rate variability index， inhibiting inflammatory cytokines， lowering homocysteine， and relieving clinical symptoms， which is worthy of clinical promotion and application.

BACKGROUND: There were few studies on real-world data about autologous hematopoietic stem cell transplantation (auto-HSCT) or allogeneic HSCT (allo-HSCT) in peripheral T-cell lymphoma (PTCL). This study aimed to investigate the clinical outcomes of patients who received auto-HSCT or allo-HSCT in China. METHODS: From July 2007 to June 2017, a total of 128 patients who received auto-HSCT (n  = 72) or allo-HSCT (n  = 56) at eight medical centers across China were included in this study. We retrospectively collected their demographic and clinical data and compared the clinical outcomes between groups. RESULTS: Patients receiving allo-HSCT were more likely to be diagnosed with stage III or IV disease (95% vs. 82%, P = 0.027), bone marrow involvement (42% vs. 15%, P = 0.001), chemotherapy-resistant disease (41% vs. 8%, P = 0.001), and progression disease (32% vs. 4%, P < 0.001) at transplantation than those receiving auto-HSCT. With a median follow-up of 30 (2-143) months, 3-year overall survival (OS) and progression-free survival (PFS) in the auto-HSCT group were 70%(48/63) and 59%(42/63), respectively. Three-year OS and PFS for allo-HSCT recipients were 46%(27/54) and 44%(29/54), respectively. There was no difference in relapse rate (34%[17/63] in auto-HSCT vs. 29%[15/54] in allo-HSCT, P = 0.840). Three-year non-relapse mortality rate in auto-HSCT recipients was 6%(4/63) compared with 27%(14/54) for allo-HSCT recipients (P = 0.004). Subanalyses showed that patients with lower prognostic index scores for PTCL (PIT) who received auto-HSCT in an upfront setting had a better outcome than patients with higher PIT scores (3-year OS: 85% vs. 40%, P = 0.003). Patients with complete remission (CR) undergoing auto-HSCT had better survival (3-year OS: 88% vs. 48% in allo-HSCT, P = 0.008). For patients beyond CR, the outcome of patients who received allo-HSCT was similar to that in the atuo-HSCT group (3-year OS: 51% vs. 46%, P = 0.300). CONCLUSIONS Our study provided real-world data about auto-HSCT and allo-HSCT in China. Auto-HSCT seemed to be associated with better survival for patients in good condition (lower PIT score and/or better disease control). For patients possessing unfavorable characteristics, the survival of patients receiving allo-HSCT group was similar to that in the auto-HSCT group.
China ; Hematopoietic Stem Cell Transplantation ; Humans ; Lymphoma, T-Cell, Peripheral/therapy* ; Neoplasm Recurrence, Local ; Retrospective Studies ; Transplantation, Autologous ; Transplantation, Homologous ; Treatment Outcome