1.Improvement effect and mechanism of desloratadine citrate disodium in hypersensitivity pneumonitis model mice
Wenjuan PENG ; Yan ZHAO ; Shaoyun YUE ; Yujiao WU ; Jiajia MO ; Zhaoxing CHU
China Pharmacy 2025;36(15):1882-1886
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.
2.tRF Prospect: tRNA-derived Fragment Target Prediction Based on Neural Network Learning
Dai-Xi REN ; Jian-Yong YI ; Yong-Zhen MO ; Mei YANG ; Wei XIONG ; Zhao-Yang ZENG ; Lei SHI
Progress in Biochemistry and Biophysics 2025;52(9):2428-2438
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.
3.Long-term efficacy of CMV/EBV bivirus-specific T cells for viral co-reactivation after stem cell transplantation.
Xuying PEI ; Meng LV ; Xiaodong MO ; Yuqian SUN ; Yuhong CHEN ; Chenhua YAN ; Yuanyuan ZHANG ; Lanping XU ; Yu WANG ; Xiaohui ZHANG ; Xiaojun HUANG ; Xiangyu ZHAO
Chinese Medical Journal 2025;138(5):607-609
4.Preemptive immunotherapy for KMT2A rearranged acute leukemias post-allogeneic stem cell transplantation.
Jing LIU ; Shuang FAN ; Xiaohui ZHANG ; Lanping XU ; Yu WANG ; Yifei CHENG ; Chenhua YAN ; Yuhong CHEN ; Yuanyuan ZHANG ; Meng LV ; Yazhen QIN ; Xiaosu ZHAO ; Xiaojun HUANG ; Xiaodong MO
Chinese Medical Journal 2025;138(22):3034-3036
5.Novel biallelic MCMDC2 variants were associated with meiotic arrest and nonobstructive azoospermia.
Hao-Wei BAI ; Na LI ; Yu-Xiang ZHANG ; Jia-Qiang LUO ; Ru-Hui TIAN ; Peng LI ; Yu-Hua HUANG ; Fu-Rong BAI ; Cun-Zhong DENG ; Fu-Jun ZHAO ; Ren MO ; Ning CHI ; Yu-Chuan ZHOU ; Zheng LI ; Chen-Cheng YAO ; Er-Lei ZHI
Asian Journal of Andrology 2025;27(2):268-275
Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans
;
Male
;
Azoospermia/genetics*
;
Meiosis/genetics*
;
Spermatogenesis/genetics*
;
Adult
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Exome Sequencing
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Microtubule-Associated Proteins/genetics*
;
Alleles
;
Infertility, Male/genetics*
6.Correlations of immune cell infiltration characteristics with clinicopathological parameters in patients with clear cell renal cell carcinoma.
Huaxuan ZHAO ; Guichao ZHANG ; Jiarong LIU ; Futian MO ; Taoen LI ; Chengyong LEI ; Shidong LÜ
Journal of Southern Medical University 2025;45(6):1280-1288
OBJECTIVES:
To investigate the characteristics of immune cell infiltration in tumor samples from Chinese patients with clear cell renal cell carcinoma (ccRCC) and the correlation of immune cell infiltration with tumor stage and response to immunotherapy.
METHODS:
Tumor samples and clinicopathological data were collected from 154 ccRCC patients treated in Nanfang Hospital, Southern Medical University from October, 2020 to October, 2023. The immune cell types infiltrating the tumor tissues were identified using immunohistochemistry and immunofluorescence staining, and their correlations with the patients' clinicopathological characteristics were analyzed. Patient-derived tumor tissue fragment models (PDTF) models, constructed using tumor tissues from 22 patients, were treated with PD-1 monoclonal antibody, and T cell activation was detected using flow cytometry to assess the patients' responses to immunotherapy.
RESULTS:
In Chinese ccRCC patients included in this study, CD8+ T cells, CD4+ T cells, and CD3+ T cells were the most abundant in the tumor tissues. Higher infiltration levels of CD3+ T cells (P=0.004), PD-1+ T cells (P=0.020), CD68+ T cells (P=0.049), CD79+ T cells (P=0.049), and Tryptase+ cells (P=0.049) were all positively correlated with a larger tumor size (≥5 cm). A higher infiltration level of CD4+ T cells was associated with a lower tumor stage. Patients with higher International Society of Urological Pathology (ISUP) grades had higher infiltration levels of CD3+ T cells (P=0.023), CD8+ T cells (P=0.045), PD-1+ T cells (P=0.014), CD20+ B cells (P=0.020) and CD79+ B cells (P=0.049), and lower levels of Tryptase+ cells (P=0.001). Patients with abundant infiltrating immune cells tended to have better responses to immunotherapy.
CONCLUSIONS
The infiltrating immune cells are heterogeneous in Chinese ccRCC patients, and immune cell infiltration characteristics are closely correlated with clinicopathological parameters of the patients.
Humans
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Carcinoma, Renal Cell/pathology*
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Kidney Neoplasms/pathology*
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Immunotherapy
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Male
;
Lymphocytes, Tumor-Infiltrating/immunology*
;
Female
;
Middle Aged
;
CD8-Positive T-Lymphocytes/immunology*
;
Aged
;
T-Lymphocytes/immunology*
;
Programmed Cell Death 1 Receptor/immunology*
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Adult
;
CD4-Positive T-Lymphocytes/immunology*
;
Neoplasm Staging
7.Transcranial temporal interference stimulation precisely targets deep brain regions to regulate eye movements.
Mo WANG ; Sixian SONG ; Dan LI ; Guangchao ZHAO ; Yu LUO ; Yi TIAN ; Jiajia ZHANG ; Quanying LIU ; Pengfei WEI
Neuroscience Bulletin 2025;41(8):1390-1402
Transcranial temporal interference stimulation (tTIS) is a novel non-invasive neuromodulation technique with the potential to precisely target deep brain structures. This study explores the neural and behavioral effects of tTIS on the superior colliculus (SC), a region involved in eye movement control, in mice. Computational modeling revealed that tTIS delivers more focused stimulation to the SC than traditional transcranial alternating current stimulation. In vivo experiments, including Ca2+ signal recordings and eye movement tracking, showed that tTIS effectively modulates SC neural activity and induces eye movements. A significant correlation was found between stimulation frequency and saccade frequency, suggesting direct tTIS-induced modulation of SC activity. These results demonstrate the precision of tTIS in targeting deep brain regions and regulating eye movements, highlighting its potential for neuroscientific research and therapeutic applications.
Animals
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Superior Colliculi/physiology*
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Transcranial Direct Current Stimulation/methods*
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Eye Movements/physiology*
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Male
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Mice
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Mice, Inbred C57BL
8.Lentivirus-modified hematopoietic stem cell gene therapy for advanced symptomatic juvenile metachromatic leukodystrophy: a long-term follow-up pilot study.
Zhao ZHANG ; Hua JIANG ; Li HUANG ; Sixi LIU ; Xiaoya ZHOU ; Yun CAI ; Ming LI ; Fei GAO ; Xiaoting LIANG ; Kam-Sze TSANG ; Guangfu CHEN ; Chui-Yan MA ; Yuet-Hung CHAI ; Hongsheng LIU ; Chen YANG ; Mo YANG ; Xiaoling ZHANG ; Shuo HAN ; Xin DU ; Ling CHEN ; Wuh-Liang HWU ; Jiacai ZHUO ; Qizhou LIAN
Protein & Cell 2025;16(1):16-27
Metachromatic leukodystrophy (MLD) is an inherited disease caused by a deficiency of the enzyme arylsulfatase A (ARSA). Lentivirus-modified autologous hematopoietic stem cell gene therapy (HSCGT) has recently been approved for clinical use in pre and early symptomatic children with MLD to increase ARSA activity. Unfortunately, this advanced therapy is not available for most patients with MLD who have progressed to more advanced symptomatic stages at diagnosis. Patients with late-onset juvenile MLD typically present with a slower neurological progression of symptoms and represent a significant burden to the economy and healthcare system, whereas those with early onset infantile MLD die within a few years of symptom onset. We conducted a pilot study to determine the safety and benefit of HSCGT in patients with postsymptomatic juvenile MLD and report preliminary results. The safety profile of HSCGT was favorable in this long-term follow-up over 9 years. The most common adverse events (AEs) within 2 months of HSCGT were related to busulfan conditioning, and all AEs resolved. No HSCGT-related AEs and no evidence of distorted hematopoietic differentiation during long-term follow-up for up to 9.6 years. Importantly, to date, patients have maintained remarkably improved ARSA activity with a stable disease state, including increased Functional Independence Measure (FIM) score and decreased magnetic resonance imaging (MRI) lesion score. This long-term follow-up pilot study suggests that HSCGT is safe and provides clinical benefit to patients with postsymptomatic juvenile MLD.
Humans
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Leukodystrophy, Metachromatic/genetics*
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Pilot Projects
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Genetic Therapy/methods*
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Hematopoietic Stem Cell Transplantation
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Male
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Follow-Up Studies
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Female
;
Lentivirus/genetics*
;
Child
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Child, Preschool
;
Hematopoietic Stem Cells/metabolism*
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Cerebroside-Sulfatase/metabolism*
;
Adolescent
9.Allogeneic hematopoietic stem cell transplantation could overcome the poor prognosis of DNMT3AmutNPM1mutFLT3-ITDmut in acute myeloid leukemia: real-world multicenter analysis in China.
Wenxuan HUO ; Yifan SHEN ; Jiayu HUANG ; Yang YANG ; Shuang FAN ; Xiaosu ZHAO ; Qi WEN ; Luxiang WANG ; Chuanhe JIANG ; Yang CAO ; Xiaodong MO ; Yang XU ; Xiaoxia HU
Frontiers of Medicine 2025;19(1):90-100
The cooccurrence of NPM1, FLT3-ITD, and DNMT3A mutations (i.e., triple mutation) is related to dismal prognosis in patients with acute myeloid leukemia (AML) receiving chemotherapy alone. In this multicenter retrospective cohort study, we aimed to identify whether allogeneic hematopoietic stem cell transplantation (allo-HSCT) could overcome the poor prognosis of DNMT3AmutNPM1mutFLT3-ITDmut AML across four transplant centers in China. Fifty-three patients with triple-mutated AML receiving allo-HSCT in complete remission were enrolled. The 1.5-year probabilities of relapse, leukemia-free survival, and overall survival after allo-HSCT were 11.9%, 80.3%, and 81.8%, respectively. Multivariate analysis revealed that more than one course of induction chemotherapy and allo-HSCT beyond CR1 were associated with poor survival. To our knowledge, this work is the largest study to explore the up-to-date undefined role of allo-HSCT in patients with triple-mutated AML. Our real-world data suggest that allo-HSCT could overcome the poor prognosis of DNMT3AmutNPM1mutFLT3-ITDmut in AML.
Humans
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Nucleophosmin
;
Leukemia, Myeloid, Acute/mortality*
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Hematopoietic Stem Cell Transplantation/methods*
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Male
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Female
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DNA Methyltransferase 3A
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Adult
;
China
;
Retrospective Studies
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DNA (Cytosine-5-)-Methyltransferases/genetics*
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Middle Aged
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Prognosis
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fms-Like Tyrosine Kinase 3/genetics*
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Mutation
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Young Adult
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Transplantation, Homologous
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Nuclear Proteins/genetics*
;
Adolescent
;
Aged
10.Phenotypic Function of Legionella pneumophila Type I-F CRISPR-Cas.
Ting MO ; Hong Yu REN ; Xian Xian ZHANG ; Yun Wei LU ; Zhong Qiu TENG ; Xue ZHANG ; Lu Peng DAI ; Ling HOU ; Na ZHAO ; Jia HE ; Tian QIN
Biomedical and Environmental Sciences 2025;38(9):1105-1119
OBJECTIVE:
CRISPR-Cas protects bacteria from exogenous DNA invasion and is associated with bacterial biofilm formation and pathogenicity.
METHODS:
We analyzed the type I-F CRISPR-Cas system of Legionella pneumophila WX48, including Cas1, Cas2-Cas3, Csy1, Csy2, Csy3, and Cas6f, along with downstream CRISPR arrays. We explored the effects of the CRISPR-Cas system on the in vitro growth, biofilm-forming ability, and pathogenicity of L. pneumophila through constructing gene deletion mutants.
RESULTS:
The type I-F CRISPR-Cas system did not affect the in vitro growth of wild-type or mutant strains. The biofilm formation and intracellular proliferation of the mutant strains were weaker than those of the wild type owing to the regulation of type IV pili and Dot/Icm type IV secretion systems. In particular, Cas6f deletion strongly inhibited these processes.
CONCLUSION
The type I-F CRISPR-Cas system may reduce biofilm formation and intracellular proliferation in L. pneumophila.
Legionella pneumophila/pathogenicity*
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CRISPR-Cas Systems
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Biofilms/growth & development*
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Phenotype
;
Bacterial Proteins/metabolism*
;
Gene Deletion

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