OBJECTIVE To investigate the improvement effect and mechanism of desloratadine citrate disodium in mice with hypersensitivity pneumonitis （HP）. METHODS Sixty mice were randomly divided into blank control group （normal saline）， model group （normal saline）， prednisone group （positive control， 20 mg/kg） and desloratadine citrate disodium low-， medium- and high-dose groups （0.5， 1， 2 mg/kg）， with 10 mice in each group. Except for the blank control group， mice in other groups were intraperitoneally injected with ovalbumin （OVA） and exposed to OVA inhalation to establish the HP model. On day 22 post- modeling， mice in each group were administered the corresponding drugs or normal saline， once a day， for 11 consecutive days. After the last administration， lung function and airway hyperreactivity were assessed. The levels of interleukin-1β （IL-1β）， IL-4 and IL-6 in serum as well as the levels of IL-8， IL-13 and IL-17A in bronchoalveolar lavage fluid were determined. Pathological changes in lung tissue of mice were evaluated using Masson staining. Furthermore， the expressions of fibrosis-related proteins， including transforming growth factor β1 （TGF-β1）， type Ⅲ collagen （Col-Ⅲ） and fibronectin （FN） were determined in lung tissues. RESULTS Compared with the blank control group， the model group showed significant deterioration in lung function （P＜ 0.01）， while airway resistance and serum levels of IL-1β， IL-4， IL-6 and the levels of IL-8， IL-13 and IL-17A in the bronchoalveolar lavage fluid were increased significantly （P＜0.01）. The lung tissues exhibited alveolar collapse， atrophy， and structural disarray， along with the formation of extensive deposits of blue collagen fibers， the percentage of positive staining increased significantly （P＜0.01）. Additionally， the expression levels of TGF-β1， Col-Ⅲ， and FN proteins in the lung tissues were also increased significantly （P＜0.01）. After intervention with desloratadine citrate disodium， the pathological changes in the lung tissues of mice in each dosage group of desloratadine citrate disodium showed varying degrees of improvement， and most of the aforementioned indicator levels were significantly reversed （P＜0.05 or P＜0.01）. CONCLUSIONS Desloratadine citrate disodium can improve the lung function and airway hyperreactivity of HP mice， inhibit the release of inflammatory factors in serum and bronchoalveolar lavage fluid， and reduce the deposition of collagen fibers. Its mechanism of action may be related to anti-inflammatory， immunomodulatory， and antifibrotic effects.

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.

Aim To investigate the mechanisms of Ke-chuanting granules(KCT)inhibiting the IL-33/ILC2s pathway and pathogenic T cells to intervene in allergic airway inflammation.Methods Network pharmacolo-gy was utilized to analyze the potential targets and mechanisms of KCT-treated asthma.Allergic asthma models were induced in mice using OVA.Lung histo-pathology was conducted to observe injury changes.ELISA and quantitative PCR were utilized to measure key inflammatory factors and their mRNA expression levels in Th2-type asthma.Western blot was used to detect the phosphorylation levels of relevant proteins in the MAPK pathway.Flow cytometry was performed to evaluate the proportions of ILC2s,Th1,Th 17,Th2 and Treg cells.Results Network pharmacology iden-tified 227 main active components and 143 key targets of KCT in treating asthma,primarily enriched in signa-ling pathways such as MAPK and IL-17.Further vali-dation experiments demonstrated that KCT significantly alleviated lung inflammatory injury in asthmatic mice,reduced the number of B cells,production of I L-4,TNF-α and TGF-β,downregulated JNK phosphoryla-tion levels in lung tissue,as well as mRNA levels of Il-33,Bcl11b,Rorα,Tcf-7,Jun,Mapk3 and Mapk14.KCT intervention reduced the numbers of ILC2s and Th 17 cells in lungs and spleens of mice,and inhibited Th2 cell infiltration in lungs.Conclusions KCT ex-hibits therapeutic effects on allergic airway inflamma-tion in asthma,closely associated with the inhibition of the IL-33/ILC2s pathway,pathogenic T cell subsets,and JNK-MAPK signaling pathway.

Aim To investigate the mechanism of Banxia Baizhu Tianma Decoction(BBTD)in interfer-ing methamphetamine(MA)addiction using network pharmacology.Methods The mechanism of BBTD intervention in MA addiction was analyzed using net-work pharmacology,and MA-dependent SH-SY5Y cell model was further constructed to observe the effects of BBTD on cell model and PI3K-Akt pathway.Results A total of 88 active ingredients and 583 potential tar-gets of BBTD were screened.KEGG analysis showed that BBTD might intervene in MA addiction through PI3K-Akt,cAMP and other pathways.The molecular docking results showed that key active ingredients ex-hibited strong binding ability with core targets of PI3K-Akt pathway.In vitro experiments showed that MA-de-pendent model cells had shorter synapses,tended to be elliptical in morphology,had blurred cell boundaries,showed typical cell damage morphology,and had high intracellular expression of cAMP(P＜0.01)and low expression of 5-HT(P＜0.05).BBTD intervention could counteract the above morphology,cAMP,and 5-HT changes,suggesting that it had therapeutic effects on MA-dependent model cells.Western blot showed that MA modeling elevated the p-PI3K/PI3K(P＜0.05)and p-Akt/Akt(P＜0.01);BBTD inter-vention decreased their relative expression.Conclu-sions Gastrodin and other active ingredients in BBTD have therapeutic effects on MA addiction,and the mechanism may be related to regulation of PI3K-Akt pathway relevant targets.

Objective:To delineate the clinical characteristics and outcomes associated with severe cardiac toxicity during the preconditioning phase of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with aplastic anemia (AA).Methods:This retrospective case series study included 31 patients with severe AA who underwent allo-HSCT and were diagnosed with severe cardiac toxicity at the Hematology Department of Peking University People′s Hospital from August 2012 to June 2022. The clinical manifestations of severe cardiac toxicity observed during the preconditioning process were assessed. Patient survival was assessed using the Kaplan-Meier method.Results:In this cohort of 31 patients, the median follow-up period was 9 days (range: 4-365 days). Severe cardiac toxicity manifested within 6 days after the initial cyclophosphamide (Cy) administration. Twenty patients died within 30 days of initiating Cy preconditioning, of which 16 patients died due to severe cardiac toxicity within 25 days. Patients whose cardiac function improved within 30 days post-preconditioning showed a median survival duration of 222 days ( n=11). Troponin I (TNI) levels in patients who died within 30 days of initiating Cy preconditioning began increasing on day 5 post-Cy, peaking sharply by day 9 after a notable rise on day 8. B-type natriuretic peptide (BNP) levels in patients who died within 30 days of initiating Cy preconditioning started to rise from day 1, stabilized between days 2 and 5, and then doubled daily from days 6 to 8, remaining elevated thereafter. Notably, the initial increases in BNP and TNI correlated with electrocardiogram (ECG) signs of low voltage and T-wave inversion in 83.87% of cases ( n=26). Most patients ( n=28, 90.32%) were administered corticosteroid therapy. In those with restored cardiac function, the ejection fraction returned to >50% within 30 days of initiating Cy preconditioning. Conclusions:Patients with severe cardiac toxicity during the preconditioning phase of allo-HSCT typically exhibit early, sustained, and marked elevations in myocardial damage markers, including BNP and TNI, accompanied by ECG abnormalities following Cy administration, with BNP often increasing first. These indicators are associated with rapid disease progression and high mortality. Prompt initiation of treatment upon clinical diagnosis is critical for improving survival outcomes.

Objectives:To compare the HbA 1c results on capillary electrophoresis (CE), cation exchange-high performance liquid chromatography (CE-HPLC), and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Methods:902 normal samples without hemoglobin variants and 83 samples with hemoglobin variants were collected in 2020. The variants were divided into α-chain, β-chain, γ-chain, and δ-chain variants. The 902 samples without hemoglobin variants were measured by CE, CE-HPLC, and MALDI-TOF MS. Three methods were used for measuring α-chain, β-chain, and γ-chain compared with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) reference method. According to the EP9-A3 guideline, Passing-Bablok regression and concordance correlation coefficient (CCC) were performed for correlation and consistency, respectively. The imprecision was assessed by coefficient of variance (CV). The mean relative bias was calculated and compared with the lowest biological variation bias of 2.3%.Results:All three methods met the acceptance of imprecision requirements (<2%). The R 2 and CCC for the normal samples were all above 0.95 between the pairwise comparison of CE, CE-HPLC, and MALDI-TOF MS. The mean relative bias between MALDI-TOF MS and CE-HPLC was higher than the lowest biological variation bias of 2.3%. The R 2 results between CE and LC-MS/MS results of α-chain, β-chain, γ-chain variants were>0.95, and the mean relative biases for γ-chain variants exceeded the lowest biological variation bias of 2.3%. A bad correlation ( R2=0.66) for β-chain variants was shown between CE-HPLC and LC-MS/MS and the mean relative biases of all variant samples exceeded 2.3%. MALDI-TOF MS showed good correlations with LC-MS/MS for three groups, and the mean relative biases for γ-chain variants were higher than 2.3%. Conclusion:MALDI-TOF MS and CE-HPLC with CE had good comparability in the measurement of HbA 1c in normal samples, butthe three methods showed interferences from different types of Hb variants and the CE method was affected with less interference.

SWOT-PEST model was used to analyze the internal advantages and disadvantages,external,opportunities and challenges of tertiary public pediatric hospitals.Based on stakeholder theory,through the literature review method,policy analysis method,combined with the actual work,and summarize its main role and demands.Put forward the development strategy of three-level public pediatric specialty hospital.Through the analysis of interest demands of stakeholders of tertiary public pediat-ric specialty hospitals,the overall development is good at present,but there are still problems that need to be solved urgently.From the perspective of internal and external stakeholders,the optimization strategy involving multiple levels,multiple angles and multiple subjects is proposed to promote the comprehensive development of tertiary public pediatric specialty hospitals.

Objective:To summarize the clinical features associated with respiratory syncytial virus (RSV) infection in patients following the hematopoietic stem cell transplant (HSCT) and exploring the risk factors for death.Methods:Patients who had RSV infection after undergoing HSCT from October 2023 to January 2024 in the hematology department of Peking University People’s Hospital were enrolled in the study. The clinical characteristics of the participating patients were summarized. The clinical characteristics of the surviving and the dying patients were compared, and the risk factors of death were analyzed by binary logistic regression.Results:Among the 43 RSV-positive HSCT patients, 20 (46.5%) were hypoxemic, six (14.0%) were admitted to the ICU for further treatment, four (9.3%) required tracheal intubation assisted ventilation, and seven patients (16.3%) died. A comparison of the clinical features of the surviving patients and the deceased patients demonstrated that the deceased patients had a lower PLT when infected with RSV [74.5 (8.0-348.0) ×10 9/L vs 15.0 (10.0-62.0) ×10 9/L, P=0.003], a higher incidence of simultaneous bacterial infections (85.7% vs 41.7%, P=0.046), and a higher rate of hematological recurrence (71.4% vs 13.9%, P=0.004). Hematological recurrence ( OR=15.500, 95% CI 2.336-102.848, P=0.005), influenza A viral infection ( OR=14.000, 95% CI 1.064-184.182, P=0.045), and low PLT at the time of RSV infection ( OR=0.945, 95% CI 0.894-0.999, P=0.048) were the factors associated with death following HSCT. Conclusion:Patients infected with RSV after undergoing HSCT have a poor prognosis, and active prevention and treatment of RSV in the autumn and winter requires urgent attention.

Clinical cure (herein referred to as functional cure) is currently recognized as the ideal therapeutic goal by the guidelines for the prevention and treatment of chronic hepatitis B (CHB) at home and abroad. China has achieved significant results in research and exploration based on pegylated interferon alpha therapeutic strategies to promote the effectiveness of CHB clinical cure rates in clinical practice. The summary and optimization of clinical cure strategies in different clinical type classifications, as well as the exploration of clinical cure continuity and long-term outcomes, are of great significance for solving the current bottleneck problem and our future efforts in the developmental directions of clinical cure in CHB populations.

Objective To establish a drosophila reproductive dysfunction model and observe whether Danggui Shaoyao San(DSS)has an improving effect.Methods Tripterygium glycosides were used to establish the drosophila reproductive dysfunction model.The number of offspring pupae,the parental superoxide dismutase(SOD)and catalase(CAT)activities,the parental reproductive-related gene expression,the F1 generation body weight,and the F1 generation development-related genes were measured to evaluate the efficacy of DSS.Results Tripterygium glycosides in a dose of 20 mg·mL-1 significantly inhibited the quantity of offspring(P<0.01)and were suitable for establishing the drosophila reproductive dysfunction model.Compared with the model control group,medium(10 mg·mL-1)and high(20 mg·mL-1)dose DSS significantly increased the number of offspring pupae(P<0.01,P<0.05).High-dose DSS significantly increased the SOD and CAT activities of the parent drosophila(P<0.01).Medium and high doses of DSS promoted the expression of drosophila parental reproduction-related genes,among which the medium dose DSS increased the mRNA expression of DEAD-Box helicase 4(VASA)and factor in the germline alpha(Figla)(P<0.05,P<0.01),and the high dose DSS increased the mRNA expression of VASA,Figla and forkhead box O(FoxO)(P<0.01).The medium dose of DSS significantly increased the body weight of F1-generation female drosophila(P<0.05),and the high dose of DSS significantly increased the body weight of both F1-generation female and male drosophila(P<0.05,P<0.01).Both the medium and high dose DSS increased the mRNA expression of the F1 generation development-related gene mammalian target protein of rapamycin(mTOR)(P<0.01).Conclusions DSS improves the reproductive function injury of drosophila induced by tripterygium glycosides.