To investigate body composition and associated factors in adolescents undergoing long-term regular sports training.

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.

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.

Myelodysplastic syndrome (MDS), a myeloid tumor derived from the malignant clones of hematopoietic stem cells, has an annually increasing incidence. The contemporary research direction has shifted to analyzing the synergistic effect of immune surveillance collapse and abnormal bone marrow microenvironment in the pathological process of MDS. Against this backdrop, the immune checkpoint molecule TIM3 has emerged as a key target because of its persistently high expression on the surface of important immune cells such as T and NK cells. The abnormal activation of the TIM3 pathway is the mechanism by which solid tumors and hematological malignancies achieve immune escape and is a key hub in the formation of immune exhaustion phenotypes. This work integrates the original discoveries of our team with the latest international progress, systematically demonstrating the bidirectional regulatory network of TIM3 between the malignant clone proliferation of MDS and the immunosuppressive microenvironment. Integrating the evidence from emerging clinical trials allows us to consider the clinical significance of TIM3-targeted blocking for MDS, providing a transformative path to overcome the resistance of traditional treatments and marking a new chapter in the active immune reconstitution of MDS treatment.

Objective To investigate the protective effect of silymarin extract(SME)and its complex preparation on ethanol liver injury.Methods An ethanol liver injury model was established by gavage of 12 mL·kg-1 50％ethanol.Male mice were divided into blank group(distilled water),model group(ethanol liver injury model),SME-L,-H groups(6,20 mg·mL-1 SME),SME+Ganoderma lucidum extract(GLE)-L,-H groups(10,30 mg·mL-1 SME+GLE,SME∶GLE=1∶1),Jian An Shi Silymarin Pueraria Mirifica and Tansy tablets(JAS)-L,-H groups(68,204 mg·mL-1 JAS),there were 12 mice in each group.The serum levels of glutamic-oxaloacetic transaminase(GOT)in mice were measured by fully automated biochemical analyzer assay;the serum levels of interleukin-6(IL-6)and tumor necrosis factor-alpha(TNF-α)in mice were measured by enzyme-linked immunosorbent assay(ELASA);the hepatic tissue of oxidative stress indexes[catalase(CAT)and total superoxide dismutase(T-SOD)]were measured by ultraviolet spectrophotometer.Results The T-SOD activity in the blank group,model group,SME-L,SME-H,SME+GLE-L,SME+GLE-H,JAS-L and JAS-H groups were(192.54±49.00),(141.65±34.72),(205.83±32.77),(191.68±25.83),(192.31±28.79),(177.82±32.61),(218.58±74.80)and(210.24±31.65)U·mg·prot-1;CAT activity were(37.78±5.73),(28.92±8.44),(44.12±11.52),(41.41±9.15),(47.01±10.48),(41.63±8.95),(47.14±8.91)and(48.29±10.06)U·mg-1;GPT levels were(47.61±13.00),(97.84±26.00),(62.33±18.92),(51.84±17.91),(70.77±28.00),(58.00±21.27),(52.28±18.78)and(45.55±9.27)U·L-1;IL-6 levels were(21.03±1.52),(28.43±5.75),(21.90±3.24),(21.23±1.55),(22.26±2.58),(21.24±2.91),(22.17±4.14)and(21.14±3.02)pg·mL-1.Comparing the above indexes in the model group with the blank group,and comparing the above indexes in the SME-L,SME-H,SME+GLE-L,SME+GLE-H,JAS-L,JAS-H groups with the model group,the differences were statistically significant(all P＜0.01).The TNF-α levels in blank,model,SME-L,SME-H,SME+GLE-L,SME+GLE-H,JAS-L and JAS-H groups were were(28.07±7.72),(69.02±16.34),(40.29±8.94),(48.84±10.17),(41.91±14.96),(40.07±12.75),(50.72±11.44)and(45.05±11.34)pg·mL-1.Comparing the model group with the blank group,the SME,SME+GLE-L,-M and JAS,-M groups with the model group,the differences were statistically significant(all P＜0.01).Conclusion Silybum marianum extract and its compound preparation can increase the antioxidant level and reduce the inflammation of mouse liver,and have a certain improvement effect on liver injury caused by acute ethanol poisoning.

Objective To evaluate the short-term results of sleeve wrapping technique using remnant aortic wall in modified Bentall procedure. Methods The patients undergoing modified Bentall procedure with the remnant aortic wall as a sleeve to cover the sewing area of composite valved graft and the aortic annulus for proximal hemostasis between March 2021 and March 2022 in Shenzhen Fuwai Hospital were enrolled. Short-term results were assessed by cardiopulmonary bypass time, aortic clamping time, mechanical ventilation time, ICU stay, postoperative hospital stay, effusion drainage on the first postoperative day, left ventricular ejection fraction (LVEF), left ventricular end diastolic diameter (LVEDD), and follow-up results. Results A total of 14 patients were collected, including 12 males and 2 females, with a mean age of 55.33±10.57 years. There was no postoperative or follow-up death. Cardiopulmonary bypass time was 147.90±21.29 min, aortic clamping time was 115.70±15.23 min, mechanical ventilation time was 19.42±8.98 h, ICU stay was 99.08±49.42 h, and postoperative hospital stay was 16.33±2.74 d. Thoracic drainage volume was 333.33±91.98 mL on the first postoperative day. Only 2 patients required blood transfusion (4.5 U and 2 U, respectively). During the follow-up of 6.17±3.69 months, there was no death, no aortic or valve-related complications. There was statistical difference in the LVEDD between preoperation and before discharge after surgery (P＜0.001), and between half a year after surgery and before discharge after surgery (P＜0.001). There was a little decrease of LVEF before discharge after surgery compared with preoperative LVEF, but there was no statistical difference (P=0.219). There was no statistical difference in the LVEF half a year after operation compared with that before operation (P=1.000). Conclusion Sleeve wrapping technique using remnant aortic wall in modified Bentall procedure has good short-term results. This modification may be a simple, effective way in controlling proximal bleeding.

Pulmonary disease is one of the major threats to human health. However, the current clinical treatment drugs for lung diseases generally have problems such as low lung delivery efficiency, fast clearance rate and obvious toxic side effects. Recently, membrane biomimetic nanocarriers have attracted more and more attention. Due to their advantages of high targeting, long cycle time, good biocompatibility and strong immune escape ability, membrane biomimetic nanocarriers have become a major research hotspot in targeted therapy of lung diseases. In this review, we discuss the main preparation methods of membrane biomimetic nanoparticles, the characteristics of membrane biomimetic nanocarriers from different cell sources and their application in the targeted therapy of lung diseases. At the same time, according to the characteristics of different membranes, the shortcomings, current technical limitations and future prospects are discussed. This review is expected to provide references for the design of membrane biomimetic nanocarriers and their potential applications in the treatment of lung diseases.

Jinqi Jiangtang Capsule (JQJTC) is clinically used for the prevention and treatment of type 2 diabetes, but the contents of its main chemical components are not yet clear. In this study, an ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method was established for the determination of 15 components in JQJTC, including new chlorogenic acid, chlorogenic acid, cryptochlorogenic acid, formononetin, ononin, calycosin, calycosin-7-glucoside, astragaloside IV, berberine, epiberberine, berberrubine, coptisine, jatrorrhizine, palmatine and magnoflorine. The method was used to determine the contents of 15 components in the capsule and then to investigate the influence of excipients on the contents of the components in JQJTC. The separation was performed on a ACQUITY UPLC BEH C₁₈ column (100 mm × 2.1 mm, 1.7 μm) with a mobile phase consisting of 0.1% acetic acid and 5 mmol·L^-1 ammonium acetate (A) and acetonitrile (B) with gradient elution at a flow rate of 0.3 mL·min^-1 and a column temperature at 40 ℃. Electron spray ionization was used for mass spectrometry in positive ion mode. The established method meets the requirements of methodology of content determination in Chinese pharmacopoeia. The contents of 15 components in JQJTC varied from high to low. The top 5 contents were berberine, chlorogenic acid, magnoflorine, coptisine, and cryptochlorogenic acid, accounting for 87.31% of the total content. The contents of 10 components, including the alkaloids of coptidis rhizoma (berberine, epiberberine, berberrubine, coptisine, jatrorrhizine, palmatine and magnoflorine) and the organic acids of honeysuckle (new chlorogenic acid, chlorogenic acid, and cryptochlorogenic acid) in the whole formula extract without excipients was significantly lower than that in the capsule. These components accounted for 99.20% of the determined component contents. In this experiment, an accurate, sensitive and efficient UHPLC-MS/MS method for the determination of multi-components in JQJTC was established, which stably and reliably detected the contents of 15 components in the capsule and could provide the basis for more comprehensive quality analysis. It was also found that excipients had an increasing effect on the contents of detected alkaloid and organic acid components, which may be beneficial to the effectiveness of the capsules.

Background The high-quality development of manufacturing in China has spurred industrial transformation and upgrading, placing higher demands on the skills of employees in the electronic manufacturing industry. This situation may induce psychological health problems such as job burnout and depressive symptoms in the employees, and also lead to insomnia, which has become a public health problem that urgently needs attention and solution. Objective To investigate the relationship between job burnout, depressive symptoms, and insomnia among employees in the electronic manufacturing industry. Methods A total of 3034 employees from four electronic manufacturing companies in Beijing City, Shanghai City, and Guangdong Province were selected using judgment sampling from September to November 2019. The Maslach Burnout Inventory-General Survey, Patient Health Questionnaire-9, and Self-Administered Sleep Questionnaire were used to collect data. The correlation between job burnout, depressive symptoms, and insomnia was evaluated by hierarchical regression. Results A total of 3034 survey questionnaires were distributed, and 2614 valid questionnaires were collected, with a response effectiveness rate of 86.2%. The reporting rates of job burnout, depressive symptoms, and insomnia among employees in the electronic manufacturing industry were 47.2%, 19.5%, and 29.1%, respectively. The reporting rates of insomnia of employees in the job burnout group and depressive symptoms group were higher than those in the non-job burnout group and non-depressive symptoms group (35.3% vs. 23.6%, 47.2% vs. 24.7%, P＜0.001). The results of hierarchical regression showed that job burnout explained 2.8% of the variation of insomnia (P<0.001), and the inclusion of depressive symptoms explained 1.2% of the variation of insomnia (P<0.001). Conclusion Job burnout and depressive symptoms could both affect insomnia of employees in the electronic manufacturing industry.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.