1.Molecular characterization analyses of a human metapneumovirus outbreak in Gongshu District of Hangzhou City
Jianyi LIU ; Chenye ZHANG ; Lei ZHAO ; Huiqun SHUAI ; Huanhuan YU ; Qingyu SUN ; Fei LU ; Shengjun XI
Shanghai Journal of Preventive Medicine 2026;38(3):216-220
ObjectiveTo analyze the epidemiological and etiological characteristics of a cluster of human metapneumovirus (HMPV) infection in a kindergarten in Gongshu District of Hangzhou City in May 2024, and to provide reference for the prevention and control of similar outbreaks. MethodsAn on-site investigation was conducted using an epidemiological case investigation form. Throat swab specimens collected from cases were screened for 13 respiratory pathogens using real-time fluorescent polymerase chain reaction (PCR). For HMPV nucleic acid positive specimens, the F gene of HMPV was used as the target gene for amplification and sequencing. The sequencing results were then compared with sequences in GenBank database to determine the virus subtypes and perform phylogenetic analyses. ResultsThe outbreak occurred in a kindergarter junior class with a total of 28 preschoolers and 3 teachers and childcare workers. A total of 11 cases (10 preschoolers and 1 teacher) were identified, including 8 male cases and 3 female cases. Clinical manifestations included fever in all 11 cases (100.00%), cough in 8 cases (72.72%), catarrhal symptoms in 4 cases (36.36%), and headache in 3 cases (27.27%). All symptoms were mild, and no severe cases were observed. A total of 11 throat swab samples were collected. Real-time fluorescent PCR test results showed that 3 samples were positive for HMPV nucleic acid, 2 samples were positive for both HMPV and Streptococcus pneumoniae, and 1 sample was positive for both HMPV and rhinovirus. The sequences of the 6 HMPV nucleic acid positive specimens were amplified and analyzed using specific primers, and all were determined to be HMPV subtype A2b. The F gene fragment sequence showed the highest similarity to PV081665.1/Brazil/2024 (99.65%), and also exhibited high similarity to PP683455.1/Indonesia/2021 (99.48%), PV016275.1/Beijing/2024 (99.31%), and PV052230.1/USA/2024 (99.13%). ConclusionThis cluster of acute respiratory tract infection was caused by HMPV subtype A2b, with co-infection of rhinovirus and Streptococcus pneumoniae. The F gene fragment sequences of the HMPV in this outbreak were highly homologous to those of the A2b strains isolated from Brazil, Beijing, Indonesia, and the the United States.
2.Exploration on Biological Basis of Tumor and Strategies for Prevention and Treatment with Traditional Chinese Medicine from the Perspective of Disorders of Physique,Qi and Spirit
Long ZHANG ; Xinyi LU ; Jianhui TIAN ; Pan YU ; Ze LIU ; Yun YANG ; Xi CHENG ; Jialiang YAO
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(8):2058-2064
The life view of physique-qi-spirit trinity is the core theory for explaining the physiological activities of human body and the evolution of disease pathology in traditional Chinese medicine(TCM),and will bring about an overview of TCM tumorigenesis.This paper explores the biological basis of tumor from the perspective of disorders of physique,qi and spirit:there is a correlation between qi-physique transformation and energy and substance metabolism,and between spirit-emotion and neuromodulation;the nerve-metabolism pathway contributes to partial biological basis of tumor from the perspective of disorders of physique,qi and spirit.Furthermore,it puts forward the strategies for prevention and treatment with TCM through the simultaneous regulation of physique,qi and spirit:eliminating the mass to inhibit the tumor,and improving physique to preserve life in the view of treating physique;replenishing qi to strengthen the body,and ventilating qi to remove toxins in the view of treating qi;regulating the spirit to treat cancer through comprehensive therapy in the view of treating spirit.The exploration on the biological basis of tumor from the perspective of disorders of physique,qi and spirit will further embody the unique advantages of TCM theories in understanding malignant tumors,and will provide useful references for the model of synergistic prevention and treatment of malignant tumors with TCM.
3.P4HA1 mediates YAP hydroxylation and accelerates collagen synthesis in temozolomide-resistant glioblastoma.
Xueru LI ; Gangfeng YU ; Xiao ZHONG ; Jiacheng ZHONG ; Xiangyu CHEN ; Qinglong CHEN ; Jinjiang XUE ; Xi YANG ; Xinchun ZHANG ; Yao LING ; Yun XIU ; Yaqi DENG ; Hongda LI ; Wei MO ; Yong ZHU ; Ting ZHANG ; Liangjun QIAO ; Song CHEN ; Fanghui LU
Chinese Medical Journal 2025;138(16):1991-2005
BACKGROUND:
Temozolomide (TMZ) resistance is a significant challenge in treating glioblastoma (GBM). Collagen remodeling has been shown to be a critical factor for therapy resistance in other cancers. This study aimed to investigate the mechanism of TMZ chemoresistance by GBM cells reprogramming collagens.
METHODS:
Key extracellular matrix components, including collagens, were examined in paired primary and recurrent GBM samples as well as in TMZ-treated spontaneous and grafted GBM murine models. Human GBM cell lines (U251, TS667) and mouse primary GBM cells were used for in vitro studies. RNA-sequencing analysis, chromatin immunoprecipitation, immunoprecipitation-mass spectrometry, and co-immunoprecipitation assays were conducted to explore the mechanisms involved in collagen accumulation. A series of in vitro and in vivo experiments were designed to assess the role of the collagen regulators prolyl 4-hydroxylase subunit alpha 1 (P4HA1) and yes-associated protein (YAP) in sensitizing GBM cells to TMZ.
RESULTS:
This study revealed that TMZ exposure significantly elevated collagen type I (COL I) expression in both GBM patients and murine models. Collagen accumulation sustained GBM cell survival under TMZ-induced stress, contributing to enhanced TMZ resistance. Mechanistically, P4HA1 directly binded to and hydroxylated YAP, preventing ubiquitination-mediated YAP degradation. Stabilized YAP robustly drove collagen type I alpha 1 ( COL1A1) transcription, leading to increased collagen deposition. Disruption of the P4HA1-YAP axis effectively reduced COL I deposition, sensitized GBM cells to TMZ, and significantly improved mouse survival.
CONCLUSION
P4HA1 maintained YAP-mediated COL1A1 transcription, leading to collagen accumulation and promoting chemoresistance in GBM.
Temozolomide
;
Humans
;
Glioblastoma/drug therapy*
;
Animals
;
Mice
;
Cell Line, Tumor
;
Drug Resistance, Neoplasm/genetics*
;
YAP-Signaling Proteins
;
Hydroxylation
;
Dacarbazine/pharmacology*
;
Adaptor Proteins, Signal Transducing/metabolism*
;
Transcription Factors/metabolism*
;
Collagen/biosynthesis*
;
Collagen Type I/metabolism*
;
Prolyl Hydroxylases/metabolism*
;
Antineoplastic Agents, Alkylating/therapeutic use*
4.Research progress in machine learning in processing and quality evaluation of traditional Chinese medicine decoction pieces.
Han-Wen ZHANG ; Yue-E LI ; Jia-Wei YU ; Qiang GUO ; Ming-Xuan LI ; Yu LI ; Xi MEI ; Lin LI ; Lian-Lin SU ; Chun-Qin MAO ; De JI ; Tu-Lin LU
China Journal of Chinese Materia Medica 2025;50(13):3605-3614
Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning
;
Drugs, Chinese Herbal/standards*
;
Quality Control
;
Medicine, Chinese Traditional/standards*
;
Humans
5.Analyzing brain structural network topology and connectivity in patients with refractory overactive bladder using diffusion tensor imaging and graph theory analysis
Yangkun FENG ; Feng LU ; Siyi FU ; Yuwei ZHANG ; Yun ZHANG ; Deshui YU ; Xiuhong HUA ; Xi LIU ; Jianfeng SHAO ; Yi FAN ; Ye HUA
Journal of Modern Urology 2025;30(12):1049-1055
Objective To investigate the regulatory mechanism of the central nervous system in patients with refractory overactive bladder (rOAB) using diffusion tensor imaging (DTI) and graph theory analysis. Methods A total of 43 rOAB patients (rOAB group) and 46 matched healthy controls (HC group) were recruited during May and Nov.2024. All participants were scanned with DTI, and surveyed with the overactive bladder symptom score (OABSS), and overactive bladder questionnaire (OAB-q). Their age, gender, height, weight, and educational years were collected.DTI plus graph theory analysis was employed to explore the alterations in global and local topological properties of the brain structural network in rOAB patients. Brain regions showing significant group differences in structural metrics [specifically, the right paracentral lobule (PCL.R) ]were further used as seed points for functional connectivity (FC) analysis. Correlations between the nodal clustering coefficient (NCp) of the identified region, FC strength, OABSS, and OAB-q score were investigated. Results The OABSS [8 (6,10) vs.0 (0,1) ]and OAB-q [71 (53,80) vs.20 (19,24) ]were higher in the rOAB group than the HC group (P<0.001). Graph theory analysis revealed no statistically significant differences in global network metrics between the two groups (P>0.05). However, the NCp was significantly higher in the PCL.R of rOAB group compared to HC group (P<0.05, FDR-corrected).FC analysis using the PCL.R as a seed region demonstrated significantly reduced FC value in the left cerebellar crus Ⅱ (Cerebelum_Crus2_L) of the rOAB group (P<0.05, FDR-corrected). Partial correlation analysis showed that the NCp of PCL.R was positively correlated with both OABSS (r=0.255, P=0.018) and OAB-q score (r=0.257, P=0.017). Conversely, the FC of Cerebelum_Crus2_L was significantly negatively correlated with OABSS (r=-0.545, P<0.001) and OAB-q score (r=-0.535, P<0.001). Conclusion Patients with rOAB exhibit distinct brain structural network alterations compared to healthy individuals, primarily manifestation in the NCp value of PCL.R increased, and the FC intensity of Cerebelum_Crus2_L is significantly weakened. These alterations in the topological properties of the structural network may be implicated in the pathogenesis of rOAB.
6.Mechanism of resveratrol in treatment of sleep disorders in mice based on network pharmacology and experimental verification
Xi YU ; Xiaofei LYU ; Jian SUN ; Yuechun LU
International Journal of Biomedical Engineering 2025;48(2):174-181
Objective:To explore the mechanism of resveratrol in treatment of sleep disorders in mice based on network pharmacology and experimental verification.Methods:Resveratrol targets were obtained through traditional Chinese medicine systems pharmacology database and analysis platform, Swiss Target Prediction and SuperPred databases. Targets related to sleep disorders were collected from the gene expression omnibus, GeneCards, DrugBank, OMIM, CTD and MalaCards databases. Cytoscape 3.8.0 software was used to identify the core targets of resveratrol in treatment of sleep disorders via protein-protein interaction analysis. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were performed, and AutoDockvina software was used to conduct molecular docking between the top five core targets and resveratrol. Thirty ICR female mice were selected and divided into a control group, a model group, and low-, medium- and high-dose (10, 20, and 30 mg/kg) resveratrol groups according to the random number table method, with 6 mice in each group. Resveratrol was dissolved in 0.9% sodium chloride aqueous solution and 3% dimethyl sulfoxide. For mice in the low-, medium-, and high-dose resveratrol groups, 10, 20, and 30 mg/kg of resveratrol solution were intraperitoneally injected, respectively. The mice in the control group and the model group were intraperitoneally injected with 10 ml/kg of 0.9 % sodium chloride aqueous solution and 3 % dimethyl sulfoxide. Each group was injected once a day for 7 consecutive days. After 7 days of administration, a mouse sleep deprivation model was constructed using an improved multi platform water environment method. The spatial recognition and memory abilities of mice were tested using the Y-maze experiment, and the mRNA and protein relative expression levels of estrogen receptor 1 (ESR1) and B-cell lymphoma-2 (Bcl-2) were detected using real-time reverse transcription-PCR and Western blotting, respectively. Comparisons were made using t-test. Results:There were 47 common targets between resveratrol and sleep disorders, and the top five core targets were ESR1, Bcl-2, cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1), cytochrome P450, family 2, subfamily A, polypeptide 4 (CYP3A4) and cytochrome P450, family 1, subfamily B, polypeptide 1 (CYP1B1). GO enrichment analysis revealed that resveratrol in treatment of sleep disorders was mainly related to the regulation of unsaturated fatty acid metabolic processes, secondary metabolic processes, and responses to exogenous stimuli. KEGG pathway analysis showed that resveratrol acted mainly through pathways involving chemical carcinogenic-DNA adducts, cytochrome P450 metabolism of exogenous substances and estrogen signaling pathways. Molecular docking results indicated that resveratrol had strong binding affinity with ESR1, Bcl-2, CYP1A1, CYP3A4 and CYP1B1, with binding energies of ?31.92, ?27.72, ?34.44, ?34.02 and ?31.92 kJ/mol, respectively. In vivo experiments results demonstrated that the novel arm residence time in the low-, medium- and high-dose resveratrol groups [(52±5, 55±7, and 61±9) s] was higher than that in the model group [(45±4) s] ( P<0.05 or 0.01), and the percentage of spontaneous alternation [(53±4)%, (57±5)%, and (65±7)%] was higher than that in the model group [(47±3)%] ( P<0.05 or 0.01). The relative expression levels of ESR1 mRNA (0.42±0.10, 0.49±0.11, and 0.58±0.10) were higher than those in the model group (0.29±0.06) ( P<0.05 or 0.01). The relative expression levels of Bcl-2 mRNA (0.56±0.07, 0.65±0.10, and 0.77±0.11) were higher than those in the model group (0.44±0.08) ( P<0.05 or 0.01). Similarly, the relative expression levels of ESR1 protein (0.32±0.02, 0.50±0.02, and 0.62±0.02) were higher than those in the model group (0.24±0.01) ( P<0.05 or 0.01). The relative expression levels of Bcl-2 protein (0.45±0.08, 0.69±0.06, and 0.72±0.06) were higher than those in the model group (0.17±0.04) ( P<0.05 or 0.01). Conclusions:Resveratrol exerts therapeutic effects on sleep disorders by acting on ESR1 and Bcl-2.
7.Clinical and genetic analysis of a patient with FSIP2 compound heterozygous variants causing multiple morphological abnormalities of sperm flagella.
Yao-Qi CHEN ; Li-Qi XU ; Yi-Bo DAI ; Liang-Yu YAO ; Shen-Ming YANG ; Lu-Yu HUANG ; Xi YANG ; Yi YU ; Jing-Ming YANG ; Ke-Rong WU
National Journal of Andrology 2025;31(5):395-402
OBJECTIVE:
The aim of this study is to analyze the clinical features and genetic etiology of a patient with multiple morphological abnormalities of the sperm flagella (MMAF) retrospectively.
METHODS:
A severely oligospermic patient from the Reproductive Center of the First Affiliated Hospital of Ningbo University was selected as the study subject. Clinical data and examination results were collected. High-throughput sequencing and bioinformatics were used to analyze the genetic etiology. And Sanger sequencing was employed to validate findings in the family. Transmission electron microscopy (TEM) was used to observe the sperm ultrastructure, and immunofluorescence analysis was performed to examine the localization of FSIP2 protein in the sperm.
RESULTS:
The patient presented with severe oligospermia, and sperm morphology displayed MMAF. TEM revealed fibrous sheath and 9+2 microtubule structural disruptions in the sperm. Sequencing identified compound heterozygous variants in the FSIP2 gene (c.17798C > T, c.5927T > G), inherited from the father and mother, respectively. According to the guidelines of the American College of Medical Genetics and Genomics, the variants were classified as pathogenic. The patient's spouse underwent intracytoplasmic single sperm injection, resulting in one embryo, but no clinical pregnancy occurred after embryo transfer.
CONCLUSION
This study reported the mutation of FSIP2 gene c.17798C > T, c.5927T > G in a patient with MMAF. These findings expand the mutational spectrum of the FSIP2 gene and provide insights for genetic and assisted reproductive counseling for patients with MMAF.
Humans
;
Male
;
Sperm Tail/pathology*
;
Heterozygote
;
Oligospermia/genetics*
;
Spermatozoa
;
Mutation
;
Infertility, Male/genetics*
;
Adult
;
Pedigree
;
Retrospective Studies
;
Sperm Injections, Intracytoplasmic
8.Chinese expert consensus on the evaluation of allergen-specific immunotherapy outcomes(Wuhan, 2025).
Yuqin DENG ; Xi LUO ; Zhuofu LIU ; Shuguang SUN ; Jing YE ; Tiansheng WANG ; Jianjun CHEN ; Meiping LU ; Yin YAO ; Ying WANG ; Wei ZHOU ; Bei LIU ; Qingxiang ZENG ; Yuanteng XU ; Qintai YANG ; Yucheng YANG ; Feng LIU ; Chengli XU ; Yanan SUN ; Haiyu HONG ; Haibo YE ; Liqiang ZHANG ; Fenghong CHEN ; Huabin LI ; Hongtian WANG ; Yuncheng LI ; Wenlong LIU ; Yu XU ; Hongfei LOU
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(11):1075-1085
Allergen-specific immunotherapy(AIT) remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis(AR). Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group(CRRCG) convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans
;
Allergens/immunology*
;
China
;
Consensus
;
Desensitization, Immunologic
;
Immunoglobulin E
;
Quality of Life
;
Rhinitis, Allergic/therapy*
;
Treatment Outcome
;
East Asian People
9.Psychological stress-activated NR3C1/NUPR1 axis promotes ovarian tumor metastasis.
Bin LIU ; Wen-Zhe DENG ; Wen-Hua HU ; Rong-Xi LU ; Qing-Yu ZHANG ; Chen-Feng GAO ; Xiao-Jie HUANG ; Wei-Guo LIAO ; Jin GAO ; Yang LIU ; Hiroshi KURIHARA ; Yi-Fang LI ; Xu-Hui ZHANG ; Yan-Ping WU ; Lei LIANG ; Rong-Rong HE
Acta Pharmaceutica Sinica B 2025;15(6):3149-3162
Ovarian tumor (OT) is the most lethal form of gynecologic malignancy, with minimal improvements in patient outcomes over the past several decades. Metastasis is the leading cause of ovarian cancer-related deaths, yet the underlying mechanisms remain poorly understood. Psychological stress is known to activate the glucocorticoid receptor (NR3C1), a factor associated with poor prognosis in OT patients. However, the precise mechanisms linking NR3C1 signaling and metastasis have yet to be fully elucidated. In this study, we demonstrate that chronic restraint stress accelerates epithelial-mesenchymal transition (EMT) and metastasis in OT through an NR3C1-dependent mechanism involving nuclear protein 1 (NUPR1). Mechanistically, NR3C1 directly regulates the transcription of NUPR1, which in turn increases the expression of snail family transcriptional repressor 2 (SNAI2), a key driver of EMT. Clinically, elevated NR3C1 positively correlates with NUPR1 expression in OT patients, and both are positively associated with poorer prognosis. Overall, our study identified the NR3C1/NUPR1 axis as a critical regulatory pathway in psychological stress-induced OT metastasis, suggesting a potential therapeutic target for intervention in OT metastasis.
10.A Comparative Analysis of Subtyping Methodologies on Cross-sectional sMRI Data.
Shirui ZHANG ; Baitong ZHANG ; Kun ZHAO ; Zhuangzhuang LI ; Pan WANG ; Dawei WANG ; Chengyuan SONG ; Jie LU ; Zengqiang ZHANG ; Hongxiang YAO ; Tong HAN ; Chunshui YU ; Bo ZHOU ; Ying HAN ; Xi ZHANG ; Pindong CHEN ; Yong LIU
Neuroscience Bulletin 2025;41(9):1689-1695

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