1.Diagnosis of an Outbreak of Canine Distemper in Cynomolgus Monkeys in an Experimental Monkey Farm in 2019
Chenjuan WANG ; Lingyan YANG ; Lipeng WANG ; Xueping SUN ; Jingwen LI ; Lianxiang GUO ; Rong RONG ; Changjun SHI
Laboratory Animal and Comparative Medicine 2025;45(3):360-367
Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.
2.Diagnosis of an Outbreak of Canine Distemper in Cynomolgus Monkeys in an Experimental Monkey Farm in 2019
Chenjuan WANG ; Lingyan YANG ; Lipeng WANG ; Xueping SUN ; Jingwen LI ; Lianxiang GUO ; Rong RONG ; Changjun SHI
Laboratory Animal and Comparative Medicine 2025;45(3):360-367
Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.
3.Advances in the application of adaptive optics visual simulators in refractive surgery
Yan WANG ; Xuan LIAO ; Changjun LAN
International Eye Science 2025;25(10):1645-1649
Adaptive optics(AO)is a technology designed to enhance the performance of optical systems through real-time measurement and correction of optical aberrations. With continuous advancements in refractive surgery techniques and rising patient expectations for surgical outcomes, the precise implementation of personalized refractive corrections has become a critical focus. The integration of AO technology into refractive surgery provides novel technical support. Specifically, the adaptive optics vision simulator(VAO)facilitates accurate preoperative objective and subjective refraction by dynamically measuring and correcting ocular wavefront aberrations, thereby improving refractive efficiency. Additionally, it enables effective prediction of postoperative aberrations for personalized procedures, assists clinicians in making data-driven preoperative decisions, facilitates comparative analysis of different surgical techniques, and allows intuitive evaluation of postoperative visual quality. This review comprehensively examines the advances in VAO applications for refractive surgery and analyzes both its clinical advantages and technical limitations.
4.Mechanism of 4-methylcatechol in inhibiting fibroblast-like synoviocyte migration and suppressing inflammatory responses in treatment of rheumatoid arthritis.
Zhendong YING ; Peng WANG ; Lei ZHANG ; Dailing CHEN ; Qiuru WANG ; Qibin LIU ; Tiantian TANG ; Changjun CHEN ; Qingwei MA
Chinese Journal of Reparative and Reconstructive Surgery 2025;39(8):1051-1060
OBJECTIVE:
To investigate the effects of 4-methylcatechol (4MC) on the migration and inflammatory response in rheumatoid arthritis (RA) fibroblast-like synoviocytes (FLS), as well as its underlying mechanisms of action.
METHODS:
RA-FLS was isolated from synovial tissue donated by RA patients, and the optimal concentration of 4MC was determined by cell counting kit 8 method for subsequent experiments, and the effect of 4MC on the migratory ability of RA-FLS was evaluated via a cell scratch assay. An inflammation model of RA-FLS was induced by tumor necrosis factor α (TNF-α). Real-time fluorescence quantitative PCR and ELISA were employed to detect the gene and protein expression levels of interleukin-1β (IL-1β) and IL-6 in RA-FLS and their culture supernatants, respectively, thereby investigating the anti-inflammatory effects of 4MC. Western blot was used to examine the expressions of nuclear factor κB (NF-κB) signaling pathway-related proteins, including inhibitor of NF-κB-α (IKBα), phosphorylated (P)-IκBα, NF-κB-inducing kinase α (IKKα), P-IKKαβ, P-p65, and p65. Cellular immunofluorescence was utilized to detect the expression and localization of p65 in RA-FLS, exploring whether 4MC exerts its anti-inflammatory effects by regulating the NF-κB signaling pathway. Finally, a collagen-induced arthritis (CIA) mouse model was established. The anti-RA effect of 4MC in vivo was evaluated by gross observation and histological examination.
RESULTS:
4MC inhibited RA-FLS migration in a concentration-dependent manner. In the TNF-α-induced RA-FLS inflammation model, 4MC significantly decreased the gene and protein expression levels of IL-1β and IL-6. Furthermore, 4MC markedly reduced the ratios of P-IΚBα/IΚBα, P-IKKαβ/IKKα, and P-p65/p65, thereby blocking the transcriptional activity of p65 by inhibiting its nuclear translocation. This mechanism effectively suppressed the activation of the TNF-α-mediated NF-κB signaling pathway. Animal studies demonstrated that 4MC [10 mg/(kg·day)] significantly lowered serum levels of IL-1β, IL-6, and TNF-α, and alleviated arthritis severity and bone destruction in CIA mice.
CONCLUSION
4MC not only inhibits the migration of RA-FLS but also mitigates their inflammatory response by suppressing the NF-κB signaling pathway, thereby effectively exerting its anti-RA effects.
Synoviocytes/metabolism*
;
Arthritis, Rheumatoid/metabolism*
;
Animals
;
Cell Movement/drug effects*
;
Humans
;
Catechols/therapeutic use*
;
Fibroblasts/drug effects*
;
Mice
;
Tumor Necrosis Factor-alpha/pharmacology*
;
Interleukin-1beta/metabolism*
;
Interleukin-6/metabolism*
;
Signal Transduction/drug effects*
;
NF-kappa B/metabolism*
;
Transcription Factor RelA/metabolism*
;
Synovial Membrane/cytology*
;
Cells, Cultured
;
Male
;
Arthritis, Experimental
;
Anti-Inflammatory Agents/pharmacology*
;
NF-KappaB Inhibitor alpha
;
Inflammation
5.Advances in the clinical treatment of osteoporotic vertebral compression fractures
Changjun CHEN ; Qingwei MA ; Lei ZHANG ; Qiuru WANG ; Dayong PENG ; Meng CHEN ; Yun YANG ; Kaining ZHANG ; Weinan ZENG ; Tingbin YAN
Journal of Chongqing Medical University 2025;50(4):488-495
Osteoporotic vertebral compression fractures(OVCFs)are common orthopedic conditions that can lead to spinal pain and deformity,which greatly affects the quality of life of patients.Currently,there are various treatment methods for OVCFs,but there is still a lack of standards for optimal treatment modalities.Therefore,this article introduces the current treatment methods and character-istics of epidemiology for OVCFs,in order to improve the awareness of this disease among clinicians and provide a reference for select-ing more appropriate treatment regimens.Conservative treatment measures,such as bracing and analgesia,are the basic treatment mea-sures for OVCFs,and anti-osteoporosis drugs play a crucial role in management.Minimally invasive procedures,including percutane-ous vertebroplasty and percutaneous balloon kyphoplasty,remain the primary surgical interventions,and traditional open surgeries are also an important part of treatment,such as anterior spinal fusion,combined anterior and posterior spinal fusion,posterior spinal fusion with three-column osteotomy,and posterior spinal fusion with vertebroplasty.Furthermore,surgeons should focus on the accumulation of related surgical techniques and skills during surgery to effectively address the challenges and complications associated with surgical interventions.Finally,scientific and appropriate treatment methods should be selected for patients,in order to improve long-term treat-ment outcomes and increase the degree of satisfaction among pa-tients.
6.Study on the Role of Nrf2/SLC7A11/GPX4 Signaling Pathway in the Pathogenesis of Ischemic Stroke and Research Progress on Traditional Chinese Medicine Intervention Based on Ferroptosis
Dacheng WEI ; Linglu DUN ; Changjun LU ; Hongwei AN ; Man WANG ; Qichao YE ; Hanchi LIANG
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(7):1825-1830
Ischemic stroke is a disease resulting from the cerebral ischemia and hypoxia caused by the blockage of brain vessels in the brain,and is characterized by the focal neurological signs.Pathologically,neuronal necrosis in the infarcted area and the neuronal degeneration or delayed death of neurons in the ischemic penumbra,contribute to the morphological basis of the disease.Ischemic stroke is regulated by multiple processes,including ferroptosis,apoptosis,and autophagy.Ferroptosis,a type of iron-dependent cell death,is closely associated with ischemic stroke.Nuclear factor erythroid 2-related factor 2(Nrf2),a key transcription factor,plays a critical role in maintaining cellular redox balance and regulating inflammatory responses.Nrf2 promotes the expression of solute carrier family 7 member 11(SLC7A11)and glutathione peroxidase 4(GPX4),thereby activating the Nrf2 signaling pathway to counteract ferroptosis and protect cells from damage.This article reviews and analyzes recent experimental studies on traditional Chinese medicine(TCM)therapy targeting the Nrf2/SLC7A11/GPX4 pathway to suppress ferroptosis.The studies have found that TCM therapy with herbal compounds,Chinese patent medicines,single herbal components and their active ingredients,and acupuncture and moxibustion can inhibit ferroptosis by activating the Nrf2/SLC7A11/GPX4 signaling pathway,which will provide novel strategies for the TCM intervention of ischemic stroke.
7.Research progress on bioinformatics techniques for virus identification based on metagenomics
Huakai HU ; Xiong LIU ; Jinpeng GUO ; Yong CHEN ; Changjun WANG
Chinese Journal of Preventive Medicine 2024;58(4):516-525
In recent years, global outbreaks of infectious diseases, such as COVID-19, have triggered great concern about emerging infectious diseases. With the rapid development of next-generation sequencing technology and bioinformatic tools for viral metagenomics, there is now a widespread capability to detect and identify various known and unknown pathogenic microorganisms within both environmental and biological contexts. Furthermore, the continuous evolution of machine learning methods has led to the development and application of multiple rapid and highly accurate approaches for virus identification. Concurrently, owing to the continual progress in machine learning methods, several rapid and accurate virus identification techniques have been widely developed and applied. Therefore, this review aims to systematically summarize the key methodologies, frameworks, and the scope of applicability within the field of viral metagenomics, with a specific focus on virus identification and prediction. It could facilitate a deeper understanding of viral characteristics, identify potential novel pathogens, and provide technical support for the early prevention and control of infectious diseases.
8.Research progress on bioinformatics techniques for virus identification based on metagenomics
Huakai HU ; Xiong LIU ; Jinpeng GUO ; Yong CHEN ; Changjun WANG
Chinese Journal of Preventive Medicine 2024;58(4):516-525
In recent years, global outbreaks of infectious diseases, such as COVID-19, have triggered great concern about emerging infectious diseases. With the rapid development of next-generation sequencing technology and bioinformatic tools for viral metagenomics, there is now a widespread capability to detect and identify various known and unknown pathogenic microorganisms within both environmental and biological contexts. Furthermore, the continuous evolution of machine learning methods has led to the development and application of multiple rapid and highly accurate approaches for virus identification. Concurrently, owing to the continual progress in machine learning methods, several rapid and accurate virus identification techniques have been widely developed and applied. Therefore, this review aims to systematically summarize the key methodologies, frameworks, and the scope of applicability within the field of viral metagenomics, with a specific focus on virus identification and prediction. It could facilitate a deeper understanding of viral characteristics, identify potential novel pathogens, and provide technical support for the early prevention and control of infectious diseases.
9.Value of APTw imaging combined with DCE-MRI quantitative parameters for preoperative assessment of Her-2 gene expression in endometrial cancer
Changjun MA ; Shifeng TIAN ; Qingling SONG ; Lihua CHEN ; Nan WANG ; Qingwei SONG ; Ailian LIU
Chinese Journal of Radiology 2024;58(6):620-626
Objective:To investigate the value of quantitative parameters of amide proton transfer-weighted (APTw) imaging and dynamic contrast-enhanced (DCE)-MRI for preoperative assessment of human epidermal growth factor receptor 2 (Her-2) gene expression in endometrial cancer (EC).Methods:This research conducted a diagnostic pilot study involving 68 patients with pathologically confirmed EC at the First Hospital of Dalian Medical University from August 2019 to August 2023. Patients were categorized into Her-2-positive group (33 cases) and Her-2-negative group (35 cases) based on postoperative Her-2 gene expression results. Utilizing the APTw and DCE-MRI sequences, quantitative parameters including the asymmetric magnetization transfer ratio (MTR asym) for APTw and the volumetric transfer constant (K trans), plasma volume fraction (V p), extracellular mesenchymal space (V e), and rate constant (K ep) for DCE-MRI were acquired for the lesion site. Statistical differences in the values of each quantitative parameter between the two groups were evaluated using two independent sample t test or Mann-Whitney U test. The study incorporated quantitative parameters and clinicopathological data of patients to identify independent predictors of EC Her-2 gene expression through logistic regression analysis. A diagnostic model was developed using binary logistic regression analysis. The effectiveness of the parameters and diagnostic model was evaluated using receiver operating characteristic curves. DeLong test was used to compare the differences between the areas under the curves (AUC). Results:The study found statistically significant differences in MTR asym, K trans, and V e between the Her-2-positive group and the Her-2-negative group ( Z=2.55, P=0.011; t=-2.03, P=0.047; t=-2.13, P=0.037). However, the differences in V p and K ep were not statistically significant ( Z=0.58, P=0.560; Z=0.19, P=0.849). MTR asym emerged as a significant independent predictor of Her-2 gene expression in EC ( OR=1.016, 95% CI 1.003-1.030, P=0.014). Incorporating MTR asym, K trans, and V e, the diagnostic model yielded an AUC (95% CI) of 0.745 (0.625-0.864). The AUC (95% CI) for MTR asym, K trans, and V e alone were 0.680 (0.551-0.808), 0.623 (0.485-0.760), and 0.656 (0.523-0.789) respectively. The differences in AUC between the diagnostic model and individual predictors MTR asym, K trans, and V e were not found to be statistically significant ( Z=1.40, 1.92, 1.37, P=0.163, 0.055, 0.171). Conclusion:The quantitative parameters of APTw and DCE-MRI sequences can preoperatively assess EC Her-2 gene expression from a different perspective, with MTR asym potentially serving as a valuable independent predictor.
10.Progress in epidemiological characteristics and surveillance and early warning of dengue fever in China
Rui YANG ; Jiamin LONG ; Xia WANG ; Changjun WANG ; Yong CHEN
Chinese Journal of Epidemiology 2024;45(2):305-312
Dengue fever is an acute mosquito-borne infectious disease caused by dengue virus and widely spread worldwide. Many factors, such as pathogens, vector organisms, climate, and social environment, affect its transmission and prevalence. The local dengue fever epidemic caused by imported cases in China shows a trend of increasing epidemic latitude and more widespread epidemic areas. However, the traditional monitoring and early warning models of dengue fever mainly focus on researching a single factor and a single area. Establishing a multi-factor forecast and early warning system is urgent to strengthen the early warning capability for the dengue fever epidemic. This paper mainly discusses the epidemic characteristics, the influencing factors, and the surveillance and early warning models of dengue fever in China to provide a reference for the effective prevention and control of dengue fever in China.

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