Prostate cancer is a common malignant tumor in males.Androgen deprivation treatment(ADT)is the main therapeutic method for prostate cancer,which often leads to changes of body composition(BC)characterized by sarcopenia,centripetal fat redistribution and osteoporosis.Imaging techniques can accurately and conveniently assess changes of BC.The research progresses of imaging evaluation on BC changes in prostate cancer patients after ADT were reviewed in this article.

Human epidermal growth factor receptor 2(HER-2)positive breast cancer is a special subtype of breast cancer,which grows faster and is characterized by higher invasiveness and recurrence rate.MRI is a key method for diagnosing and evaluating this type of breast cancer.Conventional MRI examination can observe the morphologic features of the tumor and its relationship with the surrounding tissues.DCE-MRI can reflect the kinetic features,vascular supply and permeability of the breast lesion.In recent years,the wide application of artificial intelligence technologies such as imaging histology and deep learning in the field of medical imaging has made a significant contribution to the accurate and efficient imaging assessment of HER-2 positive breast cancer.This article reviews the progress of multimodal multiparametric MRI in HER-2 positive breast cancer.

Prostate cancer is a common malignant tumor in males.Androgen deprivation treatment(ADT)is the main therapeutic method for prostate cancer,which often leads to changes of body composition(BC)characterized by sarcopenia,centripetal fat redistribution and osteoporosis.Imaging techniques can accurately and conveniently assess changes of BC.The research progresses of imaging evaluation on BC changes in prostate cancer patients after ADT were reviewed in this article.

OBJECTIVE To analyze the characteristics of peripheral blood leukocyte morphology,scatterplot and leukocyte cell population data(CPD)in patients with severe fever and thrombocytopenia syndrome(SFTS),infec-tious mononucleosis(IM)and hemorrhagic fever with renal syndrome(HFRS),and to explore their differences.METHODS Blood routine examination data were collected,including microscopic cell images,scatter-plots and leukocyte CPD study parameters from 44 patients diagnosed with SFTS,17 with IM and 11 with HFRS at the First Affiliated Hospital with Nanjing Medical University from Mar.2023 to May 2024.These data were compared with those of healthy controls to explore specific differences in the characteristics of peripheral blood leu-kocyte.RESULTS All 3 viral infections exhibited a left shift in the nucleus under the microscope,yet the blood routine scatterplot and microscopic leukocyte characteristics differed.SFTS commonly presented with a plasmacy-toid reactive lymphocyte with scattered points appearing in the upper reactive lymphocyte area of the scatterplot.IM showed a predominant irregular fried-egg-like reactive lymphocyte under the microscope,with the scatterplot typically presenting a rocket-like shape,in patients with HFRS,there was a significant increase in im-mature granulocytes in peripheral blood and plasmacytoid reactive lymphocyte scatter points with blue immature granulocyte scatter points visible.The fluorescence distribution width(MO-WY)of monocytes in the SFTS group was lower than those in the IM,HFRS and healthy control groups(P＜0.05).Compared to SFTS,IM and healthy control groups,the lateral scattered light distribution width(NE-WX)and fluorescence distribution width(NE-WY)of neutrophils in the HFRS group were both increased(P＜0.05).CONCLUSIONS There are signifi-cant differences in the characteristics of peripheral blood leukocyte morphology,scatterplot and CPD study param-eters among three viral infection diseases SFTS,IM and HFRS.These differences can provide early clinical advice and assist in clinical differentiation.

Human epidermal growth factor receptor 2(HER-2)positive breast cancer is a special subtype of breast cancer,which grows faster and is characterized by higher invasiveness and recurrence rate.MRI is a key method for diagnosing and evaluating this type of breast cancer.Conventional MRI examination can observe the morphologic features of the tumor and its relationship with the surrounding tissues.DCE-MRI can reflect the kinetic features,vascular supply and permeability of the breast lesion.In recent years,the wide application of artificial intelligence technologies such as imaging histology and deep learning in the field of medical imaging has made a significant contribution to the accurate and efficient imaging assessment of HER-2 positive breast cancer.This article reviews the progress of multimodal multiparametric MRI in HER-2 positive breast cancer.

OBJECTIVE To analyze the characteristics of peripheral blood leukocyte morphology,scatterplot and leukocyte cell population data(CPD)in patients with severe fever and thrombocytopenia syndrome(SFTS),infec-tious mononucleosis(IM)and hemorrhagic fever with renal syndrome(HFRS),and to explore their differences.METHODS Blood routine examination data were collected,including microscopic cell images,scatter-plots and leukocyte CPD study parameters from 44 patients diagnosed with SFTS,17 with IM and 11 with HFRS at the First Affiliated Hospital with Nanjing Medical University from Mar.2023 to May 2024.These data were compared with those of healthy controls to explore specific differences in the characteristics of peripheral blood leu-kocyte.RESULTS All 3 viral infections exhibited a left shift in the nucleus under the microscope,yet the blood routine scatterplot and microscopic leukocyte characteristics differed.SFTS commonly presented with a plasmacy-toid reactive lymphocyte with scattered points appearing in the upper reactive lymphocyte area of the scatterplot.IM showed a predominant irregular fried-egg-like reactive lymphocyte under the microscope,with the scatterplot typically presenting a rocket-like shape,in patients with HFRS,there was a significant increase in im-mature granulocytes in peripheral blood and plasmacytoid reactive lymphocyte scatter points with blue immature granulocyte scatter points visible.The fluorescence distribution width(MO-WY)of monocytes in the SFTS group was lower than those in the IM,HFRS and healthy control groups(P＜0.05).Compared to SFTS,IM and healthy control groups,the lateral scattered light distribution width(NE-WX)and fluorescence distribution width(NE-WY)of neutrophils in the HFRS group were both increased(P＜0.05).CONCLUSIONS There are signifi-cant differences in the characteristics of peripheral blood leukocyte morphology,scatterplot and CPD study param-eters among three viral infection diseases SFTS,IM and HFRS.These differences can provide early clinical advice and assist in clinical differentiation.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

Objective:To construct pancreatic cancer cell lines expressing luciferase and mesothelin (MSLN), and evaluate the feasibility of using them as target cells in analyzing the cytotoxicity activity of immune cells.Methods:Lentiviral vectors expressing luciferase and MSLN genes were constructed, and pancreatic cancer cell lines were infected after lentivirus packaging. Single-cell clones were obtained by limited dilution following antibiotic screening, and the stable expression of the target genes were verified. These cells were used as target cells to detect the cytotoxicity of immune cells by real-time cell analysis (RTCA) and luciferase activity. Besides, these luciferase-expressing cells were transplanted into B-NDG mice to establish the animal models of pancreatic cancer, and in vivo optical imaging technology was used to detect the expression of luciferase and monitor the tumor growth in mice. The cytotoxicity of chimeric antigen receptor T (CAR-T) cells was verified in these animal models. Results:Three pancreatic cancer cell lines, panc-1-luc, panc-1-luc-MSLN and capan-2-luc, that could stably express luciferase and MSLN genes were successfully constructed. The expression of the reporter gene in these cells were high, and positively correlated with the number of cells. There were 95.6% of panc-1-luc-MSLN cells expressing MSLN. MSLN-CAR-T cells had specific killing effect on MSLN-positive panc-1-luc-MSLN cells and capan-2-luc cells, with the minimum killing rates of (70.00±18.19)% and (57.00±5.29)%, respectively. But they had no cytotoxicity to MSLN-negative panc-1-luc cells. RTCA results showed that MSLN-CAR-T cells were able to lyse all three pancreatic cancer cell lines, and the minimum killing rates were (56.33±7.64)%, (93.00±2.65)% and (26.33±28.15)%, respectively. The killing of target cells by NK-92MI cells was not depended on MSLN expression. The cytotoxicity in the mice models of pancreatic cancer was consistent with the results in vitro. The in vivo and in vitro test results suggested that the expression of luciferase by target cells could reflect the cytotoxicity of immune cells. Conclusions:This study establishes three pancreatic cancer cell lines stably expressing luciferase, which can be used to evaluate the cytotoxicity of immunotherapy products targeting tumor cells in vitro and in vivo.

Objective:To understand the epidemiology of rubella and the genetic characteristics of the virus circulating during the period 2021-2022, providing basic scientific data for rubella prevention and control in China.Methods:National rubella incidence data for the period 2021-2022 were obtained from the Infectious Disease Surveillance System module and the Surveillance Report Management module of the China′s Disease Prevention and Control Information System. Positive rubella virus(RuV)isolates were obtained from the National Measles/Rubella Laboratory Network. Two nucleotide (nt) fragments [F1-480 (8 633-9 112 nt) and F2-633 (8 945-9 577 nt)] located in the E1 gene were amplified and determined by reverse transcription polymerase chain reaction (RT-PCR), and the target gene (E1-739) was obtained after collating and splicing. The sequences obtained in this study were used to construct a phylogenetic tree with the reported reference strains for genotype and lineage identification. Additionally, the phylogenetic analysis was performed to assess their genetic relatedness of RuV strains prevalent in China during 2018-2020 from GenBank database.Results:In 2021-2022, the rubella incidence in China was 0.06/100, 000 (2021: 840 cases; 2022: 784 cases), with cases primarily concentrated in the western and southern provinces. Age distribution analysis showed that rubella cases in 2021-2022 was mainly in children under 5 years of age (2021: 34.17%, 287/840; 2022: 42.09%, 330/784), with the highest proportion in children aged 0-2 years. Further analysis of the immunization history of cases revealed that in the 8-23 months age group, a significant proportion of cases had received only one dose of rubella containing vaccine (RCV); cases in the 2-14 years age group were mainly among children who had received two or more doses of RCV; however, cases over 15 years of age were primarily found in individuals who had not received RCV or had unknown immunization history. National virological surveillance data showed that totally 22 RuV virus isolates were obtained, from 6 provinces in China during 2021-2022, which belonged to lineage 1E-L2 (11 strains) and 2B-L2c (11 strains). And these viruses displayed high genetic homology with RuV prevalent from 2018 to 2020.Conclusions:The incidence of rubella in China was maintained at a low level during 2021-2022, and the prevalent RuV strains were lineage 1E-L2 and 2B-L2c.

Background::Genetic variants of dopaminergic transcription factor-encoding genes are suggested to be Parkinson’s disease (PD) risk factors; however, no comprehensive analyses of these genes in patients with PD have been undertaken. Therefore, we aimed to genetically analyze 16 dopaminergic transcription factor genes in Chinese patients with PD.Methods::Whole-exome sequencing (WES) was performed using a Chinese cohort comprising 1917 unrelated patients with familial or sporadic early-onset PD and 1652 controls. Additionally, whole-genome sequencing (WGS) was performed using another Chinese cohort comprising 1962 unrelated patients with sporadic late-onset PD and 1279 controls.Results::We detected 308 rare and 208 rare protein-altering variants in the WES and WGS cohorts, respectively. Gene-based association analyses of rare variants suggested that MSX1 is enriched in sporadic late-onset PD. However, the significance did not pass the Bonferroni correction. Meanwhile, 72 and 1730 common variants were found in the WES and WGS cohorts, respectively. Unfortunately, single-variant logistic association analyses did not identify significant associations between common variants and PD. Conclusions::Variants of 16 typical dopaminergic transcription factors might not be major genetic risk factors for PD in Chinese patients. However, we highlight the complexity of PD and the need for extensive research elucidating its etiology.