1.Management of an imported family cluster of dengue fever cases in Shanghai, 2024
Lei SHEN ; Dongsheng REN ; Mingyi CAI ; Zhixiang TENG ; Qi SHEN ; Qingyuan XU ; Xiaofen NI
Shanghai Journal of Preventive Medicine 2026;38(2):170-174
ObjectiveTo investigate and manage an imported dengue fever (DF) outbreak in Shanghai in 2024, to summarize the experience and lessons learned from the on-site management, and to provide a reference basis for future prevention and control of DF. MethodsEpidemiological investigation and case search were carried out for an imported DF outbreak in Shanghai, 2024. Real-time fluorescence polymerase chain reaction (RT-PCR) was used to detect dengue virus nucleic acid in the serum samples from cases. Meanwhile, emergency vector surveillance and mosquito control measures were carried out in the affected areas, and the effectiveness of the management was evaluated. ResultsAccording to the epidemiological investigation, it was confirmed that this epidemic was a family cluster of imported DF, with both cases infected in Thailand and developed symptoms successively after returning to Shanghai. Laboratory testing identified the pathogens as dengue virus serotype-3 (DENV-3). In the core and precautionary area, ultra-low-volume space spraying and residual spraying were combined to kill adult mosquitoes, and at the same time, comprehensive cleaning and elimination of mosquito breeding sites was carried out. After 2 weeks, the Breteau Index (BI) in the core area decreased from 20 to 5, and the mosquito net trap index decreased from 2 mosquitoes (net·hour)-1 to 0.67 mosquitoes (net·hour)-1. Continuous implementation of mosquito control measures kept the BI and net trap index below the safety thresholds [BI<5 and mosquito net trap index <2 mosquitoes (net·hour)-1] both in the core and precautionary area. ConclusionEarly diagnosis and isolation of patients, combined with rapid suppression of the density of vector Aedes mosquitoes, are the key measures to prevent the transmission of imported DF cases.
2.Cytotoxic effects of the novel photosensitizer PEG-MTPABZ-PyC-mediated photodynamic therapy on gastric cancer cells.
Lingjuan CHEN ; Qi WANG ; Lu WANG ; Yifei SHEN ; Haibin WANG ; Hengxin WANG ; Xuejie SU ; Meixu LEI ; Xianxia CHEN ; Chengjin AI ; Yifan LI ; Yali ZHOU
Journal of Central South University(Medical Sciences) 2025;50(7):1137-1144
OBJECTIVES:
The application of photodynamic therapy in solid tumors has attracted increasing attention in recent years, and the efficiency of photosensitizers is a crucial determinant of therapeutic efficacy. This study aims to evaluate the cytotoxic effects of a novel photosensitizer, PEG-MTPABZ-PyC, in photodynamic therapy against gastric cancer cells.
METHODS:
Gastric cancer MKN45 cells were treated with PEG-MTPABZ-PyC. A high-content live-cell imaging system was used to assess the cellular uptake kinetics and subcellular localization of the photosensitizer. The cytotoxic effects of PEG-MTPABZ-PyC-mediated photodynamic therapy were examined using the cell counting kit-8 (CCK-8) assay and flow cytometry, while the intrinsic cytotoxicity of the photosensitizer alone was verified by the CCK-8 assay. Intracellular reactive oxygen species (ROS) generation after photodynamic therapy was detected using 2'-7'-dichlorodihydrofluorescein diacetate (DCFH-DA).
RESULTS:
PEG-MTPABZ-PyC alone exhibited no cytotoxicity toward MKN45 cells, indicating excellent cytocompatibility. The compound efficiently entered cells within 6 hours and localized predominantly in lysosomes. Upon light irradiation, PEG-MTPABZ-PyC-mediated photodynamic therapy induced significant cytotoxicity compared with the control group (P<0.05) and generated abundant intracellular ROS.
CONCLUSIONS
The novel photosensitizer PEG-MTPABZ-PyC demonstrates potent photodynamic cytotoxicity against gastric cancer cells, showing promising potential for further development in gastric cancer photodynamic therapy.
Humans
;
Stomach Neoplasms/drug therapy*
;
Photochemotherapy/methods*
;
Photosensitizing Agents/pharmacology*
;
Cell Line, Tumor
;
Polyethylene Glycols/chemistry*
;
Reactive Oxygen Species/metabolism*
;
Mesoporphyrins/pharmacology*
3.Silencing PTPN2 with nanoparticle-delivered small interfering RNA remodels tumor microenvironment to sensitize immunotherapy in hepatocellular carcinoma.
Fu WANG ; Haoyu YOU ; Huahua LIU ; Zhuoran QI ; Xuan SHI ; Zhiping JIN ; Qingyang ZHONG ; Taotao LIU ; Xizhong SHEN ; Sergii RUDIUK ; Jimin ZHU ; Tao SUN ; Chen JIANG
Acta Pharmaceutica Sinica B 2025;15(6):2915-2929
Protein tyrosine phosphatase nonreceptor type 2 (PTPN2) is a promising target for sensitizing solid tumors to immune checkpoint blockades. However, the highly polar active sites of PTPN2 hinder drug discovery efforts. Leveraging small interfering RNA (siRNA) technology, we developed a novel glutathione-responsive nano-platform HPssPT (HA/PEIss@siPtpn2) to silence PTPN2 and enhance immunotherapy efficacy in hepatocellular carcinoma (HCC). HPssPT showed potent transfection and favorable safety profiles. PTPN2 deficiency induced by HPssPT amplified the interferon γ signaling in HCC cells by increasing the phosphorylation of Janus-activated kinase 1 and signal transducer and activator of transcription 1, resulting in enhanced antigen presentation and T cell activation. The nano-platform was also able to promote the M1-like polarization of macrophages in vitro. The unique tropism of HPssPT towards tumor-associated macrophages, facilitated by hyaluronic acid coating and CD44 receptor targeting, allowed for simultaneous reprogramming of both tumor cells and tumor-associated macrophages, thereby synergistically reshaping tumor microenvironment to an immunostimulatory state. In HCC, colorectal cancer, and melanoma animal models, HPssPT monotherapy provoked robust antitumor immunity, thereby sensitizing tumors to PD-1 blockade, which provided new inspiration for siRNA-based drug discovery and tumor immunotherapy.
4.IsoVISoR: Towards 3D Mesoscale Brain Mapping of Large Mammals at Isotropic Sub-micron Resolution.
Chao-Yu YANG ; Yan SHEN ; Xiaoyang QI ; Lufeng DING ; Yanyang XIAO ; Qingyuan ZHU ; Hao WANG ; Cheng XU ; Pak-Ming LAU ; Pengcheng ZHOU ; Fang XU ; Guo-Qiang BI
Neuroscience Bulletin 2025;41(2):344-348
5.Single-Neuron Reconstruction of the Macaque Primary Motor Cortex Reveals the Diversity of Neuronal Morphology.
Siyu LI ; Yan SHEN ; Yefei CHEN ; Zexuan HONG ; Lewei ZHANG ; Lufeng DING ; Chao-Yu YANG ; Xiaoyang QI ; Quqing SHEN ; Yanyang XIAO ; Pak-Ming LAU ; Zhonghua LU ; Fang XU ; Guo-Qiang BI
Neuroscience Bulletin 2025;41(3):525-530
6.A Novel Mouse Model Unveils Protein Deficiency in Truncated CDKL5 Mutations.
Xue FENG ; Zi-Ai ZHU ; Hong-Tao WANG ; Hui-Wen ZHOU ; Ji-Wei LIU ; Ya SHEN ; Yu-Xian ZHANG ; Zhi-Qi XIONG
Neuroscience Bulletin 2025;41(5):805-820
Mutations in the cyclin-dependent kinase-like 5 gene (CDKL5) cause a severe neurodevelopmental disorder, yet the impact of truncating mutations remains unclear. Here, we introduce the Cdkl5492stop mouse model, mimicking C-terminal truncating mutations in patients. 492stop/Y mice exhibit altered dendritic spine morphology and spontaneous seizure-like behaviors, alongside other behavioral deficits. After creating cell lines with various Cdkl5 truncating mutations, we found that these mutations are regulated by the nonsense-mediated RNA decay pathway. Most truncating mutations result in CDKL5 protein loss, leading to multiple disease phenotypes, and offering new insights into the pathogenesis of CDKL5 disorder.
Animals
;
Disease Models, Animal
;
Mice
;
Protein Serine-Threonine Kinases/deficiency*
;
Mutation/genetics*
;
Epileptic Syndromes/genetics*
;
Humans
;
Dendritic Spines/pathology*
;
Spasms, Infantile/genetics*
;
Male
;
Seizures/genetics*
;
Mice, Inbred C57BL
7.What Information do Systemic Pathological Changes Bring to the Diagnosis and Treatment of Alzheimer's Disease?
Jinyue ZHOU ; Xiaoli SUN ; Keren WANG ; Min SHEN ; Jingbo YU ; Qi YAO ; Hang HONG ; Chunlan TANG ; Qinwen WANG
Neuroscience Bulletin 2025;41(7):1289-1301
Alzheimer's disease (AD) is regarded as a neurodegenerative disease, and it has been proposed that AD may be a systemic disease. Studies have reported associations between non-neurological diseases and AD. The correlations between AD pathology and systemic (non-neurological) pathological changes are intricate, and the mechanisms underlying these correlations and their causality are unclear. In this article, we review the association between AD and disorders of other systems. In addition, we summarize the possible mechanisms associated with AD and disorders of other systems, mainly from the perspective of AD pathology. Regarding the relationship between AD and systemic pathological changes, we aim to provide a new outlook on the early warning signs and treatment of AD, such as establishing a diagnostic and screening system based on more accessible peripheral samples.
Alzheimer Disease/therapy*
;
Humans
;
Brain/pathology*
8.Infrared Laser Stimulation of Purkinje Cells Primarily Depends on TRP Channel Activation.
Bin-Bin DONG ; Chen WANG ; Wan-Qi HUANG ; Yu-Peng BIAN ; Jun LIU ; Wei CHEN ; Lin ZHOU ; Ying SHEN ; Luxi WANG
Neuroscience Bulletin 2025;41(7):1261-1266
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
;
Nucleophosmin
;
Leukemia, Myeloid, Acute/mortality*
;
Hematopoietic Stem Cell Transplantation/methods*
;
Male
;
Female
;
DNA Methyltransferase 3A
;
Adult
;
China
;
Retrospective Studies
;
DNA (Cytosine-5-)-Methyltransferases/genetics*
;
Middle Aged
;
Prognosis
;
fms-Like Tyrosine Kinase 3/genetics*
;
Mutation
;
Young Adult
;
Transplantation, Homologous
;
Nuclear Proteins/genetics*
;
Adolescent
;
Aged
10.Machine learning-assisted microfluidic approach for broad-spectrum liposome size control.
Yujie JIA ; Xiao LIANG ; Li ZHANG ; Jun ZHANG ; Hajra ZAFAR ; Shan HUANG ; Yi SHI ; Jian CHEN ; Qi SHEN
Journal of Pharmaceutical Analysis 2025;15(6):101221-101221
Liposomes serve as critical carriers for drugs and vaccines, with their biological effects influenced by their size. The microfluidic method, renowned for its precise control, reproducibility, and scalability, has been widely employed for liposome preparation. Although some studies have explored factors affecting liposomal size in microfluidic processes, most focus on small-sized liposomes, predominantly through experimental data analysis. However, the production of larger liposomes, which are equally significant, remains underexplored. In this work, we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning (ML) model capable of accurately predicting liposomal size. Experimental validation was conducted using a staggered herringbone micromixer (SHM) chip. Our findings reveal that most investigated variables significantly influence liposomal size, often interrelating in complex ways. We evaluated the predictive performance of several widely-used ML algorithms, including ensemble methods, through cross-validation (CV) for both liposome size and polydispersity index (PDI). A standalone dataset was experimentally validated to assess the accuracy of the ML predictions, with results indicating that ensemble algorithms provided the most reliable predictions. Specifically, gradient boosting was selected for size prediction, while random forest was employed for PDI prediction. We successfully produced uniform large (600 nm) and small (100 nm) liposomes using the optimised experimental conditions derived from the ML models. In conclusion, this study presents a robust methodology that enables precise control over liposome size distribution, offering valuable insights for medicinal research applications.

Result Analysis
Print
Save
E-mail