Objective The aim of the study is to analyze the incidence patterns and epidemiological characteristics of parasitic and vector-borne diseases in the Minhang and Jinshan districts of Shanghai, and provide evidence-based information for optimizing prevention and control measures. Methods We collected information from epidemic reports and epidemiological investigation forms for cases of parasitic and vector-borne diseases from 2005 to 2024 in Shanghai's Minhang and Jinshan districts. Descriptive epidemiological method were adopted to conduct a comparative analysis of incidence trends, epidemic characteristics, and infection sources. Results A total of 229 cases in 7 categories were reported between 2005 and 2024, with an average annual incidence rate of 0.36/100 000. The average annual incidence rate in Minhang District was significantly higher than that in Jinshan District. The most prevalent diseases were malaria and dengue fever, followed by Japanese encephalitis. Monthly case reports were available, predominantly from June to October, with a peak in July-August. A statistically significant difference was observed between the two districts in case distribution during June-October (P＜0.001), whereas no significant difference was found for July-August (P=0.331). The majority of cases were young men (111/229,48.47%), aged 20-39 years. Migrant workers/farmers constituted the largest occupational group (55/229, 24.02%). Registered residents of other provinces and cities (147/229,64.19%), and the main source of infection was overseas importation (112/229,48.91%). There were no statistically significant differences in gender and household-registration composition between the two districts (P＞0.05). Significant differences existed in age, occupation, and source of infection (P＜0.05). The imported diseases were malaria and dengue fever, with Africa and Southeast Asia being the primary source locations. Malaria was the predominant disease imported from other provinces and cities, with cases having been imported from abroad since 2012. Local infections were mainly Japanese encephalitis, followed by malaria (with the last local case reported in 2010). Cases between 2005 and 2009 were predominantly imported from other provinces and cities. The proportion of cases imported from abroad increased sharply after 2010, particularly in Minhang District. Local infections sometimes arise in Jinshan District, with Japanese encephalitis serving as the primary type. Conclusions Incidence rates of parasitic and vector-borne diseases in Minhang and Jinshan districts have generally remained low. To further reduce this disease burden, it will be necessary to strengthen joint measures for prevention and control, eliminate the environmental risk factors of vector organisms, enhance monitoring and precise control of the environment and inbound personnel to prevent the occurrence and transmission of parasitic and vector-borne diseases.

Objective: To observe the clinical efficacy and safety of Yiqi Tongluo Decoction in the intervention of early traditional Chinese medicine (TCM) syndromes after ischemic cerebrovascular disease (ICVD) intervention. Methods: From October 2020 to July 2023, a randomized, double-blind, placebo-controlled study was conducted to include 60 patients with qi deficiency, blood stasis, and phlegm obstruction syndrome after ICVD interventional therapy. They were assigned to the Yiqi Tongluo Decoction treatment group (30 cases) and the TCM placebo routine treatment control group (30 cases) according to the randomized block design. Both groups received routine standardized treatment of Western medicine, including dual antiplatelet, lipid regulation, and control of risk factors for cerebrovascular disease. The treatment group was treated with Yiqi Tongluo Decoction based on the control group. The course of treatment was 60 days and follow-up was carried out 2 and 6 months after the operation. The improvement of qi deficiency syndrome, blood stasis syndrome, phlegm syndrome score and TCM syndrome score, modified Rankin score (mRS), Barthel index (BI) score, Fatty acid-binding protein 4 (FABP4) level, incidence of transient ischemic attack (TIA) and ischemic stroke (IS) and incidence of adverse reactions, Head and neck CT angiography (CTA) or digital subtraction angiography (DSA) examination were collected. The clinical efficacy of the patients 2 months after the operation was taken as the main outcome index to preliminarily evaluate the early and long-term efficacy of Yiqi Tongluo Decoction after the ICVD intervention. The early and long-term clinical efficacy and safety of Western medicine standardized treatment combined with TCM Yiqi Tongluo Decoction on patients with qi deficiency, blood stasis and phlegm obstruction syndrome after ICVD intervention were evaluated. The safety of Yiqi Tongluo Decoction in the treatment of patients after ICVD intervention with white blood cell (WBC), C-reactive protein (CRP), fibrinogen (FIB), plasminogen time (PT), recurrence of cerebral ischaemia and restenosis in patients at 2 and 6 months after treatment were evaluated. Results: Compared to the control group, the TCM syndrome scores for qi deficiency, blood stasis and phlegm syndrome in the treatment group reduced significantly, the clinical efficacy improved significantly, the mRS score and FABP4 were reduced, and the BI score was increased. Adverse events such as cerebral ischaemia were fewer in the treatment group than in the control group, but the difference was not statistically significant; levels of CRP, WBC and PT were reduced, and levels of FIB were reduced at 6 months post-treatment, all P<0.01, and images were intuitively compared. The treatment group was superior to the control group. Conclusion Yiqi Tongluo Decoction combined with Western medicine standard treatment can improve the early clinical efficacy of ICVD patients with qi deficiency, blood stasis and phlegm obstruction syndrome after interventional surgery, improve neurological impairment and daily living ability, reduce the state of qi deficiency syndrome, blood stasis syndrome and phlegm syndrome after interventional surgery, and improve the clinical efficacy of TCM. At the same time, it can reduce the level of FABP4, the target of atherosclerosis and restenosis after interventional surgery, reduce the level of inflammation after interventional surgery in patients with ICVD, regulate coagulation function, and reduce the incidence of long-term recurrence of cerebral ischemia after interventional surgery, with good safety.

Objective To quantitatively assess the correlation between the skeletal muscle index(SMI)of patients and the occur-rence of anastomotic leakage(AL)in rectal cancer patients after surgery,and to analyze the risk factors for AL in rectal cancer patients and the influencing factors of sarcopenia.Methods The clinical,pathological,and related imaging data of 362 patients who under-went radical surgery for rectal cancer were retrospectively analyzed.All patients underwent pelvic MRI and abdominal CT scans(plain/enhanced)within one month before surgery,and the third lumbar vertebra skeletal muscle area(L3-SMA)was measured from the images.All patients were divided into AL group(56 cases)and control group(306 cases)based on the presence or absence of postoperative complications.The differences in clinical characteristics and imaging parameters between the two groups were analyzed.A logistic risk prediction model was established.Results Significant differences were observed between the two groups in sarcopenia,type of surgery,surgical approach,serum albumin level,operation duration,stoma type,and extramural vascular invasion(EMVI)(P＜0.05).These factors were incorporated in a multivariate logistic regression analysis model,the area under the curve(AUC)of receiver operating characteristic(ROC)curve of the model was 0.810[95％confidence interval(CI)0.743-0.876,P＜0.001],with a sensitivity of 0.865 and specificity of 0.669.Conclusion Sar-copenia is a significant risk factor for AL after rectal cancer surgery.It enhances the predictive efficacy for postoperative AL and serves as a basis for identifying high-risk populations for AL in clinical practice.

OBJECTIVES: Recent advancements in single-cell RNA sequencing (scRNA-seq) have revolutionized the study of cellular heterogeneity, particularly within the hematological system. However, accurately annotating cell types remains challenging due to the complexity of immune cells. To address this challenge, we develop a PAN-blood single-cell Data Annotator (scPANDA), which leverages a comprehensive 10-million-cell atlas to provide precise cell type annotation. METHODS: The atlas, constructed from data collected in 16 studies, incorporated rigorous quality control, preprocessing, and integration steps to ensure a high-quality reference for annotation. scPANDA utilizes a three-layer inference approach, progressively refining cell types from broad compartments to specific clusters. Iterative clustering and harmonization processes were employed to maintain cell type purity throughout the analysis. Furthermore, the performance of scPANDA was evaluated in three external datasets. RESULTS: The atlas was structured hierarchically, consisting of 16 compartments, 54 classes, 4,‍460 low-level clusters (pd_cc_cl_tfs), and 611 high-level clusters (pmid_cts). Robust performance of the tool was demonstrated in annotating diverse immune scRNA-seq datasets, analyzing immune-tumor coexisting clusters in renal cell carcinoma, and identifying conserved cell clusters across species. CONCLUSIONS scPANDA exemplifies effective reference mapping with a large-scale atlas, enhancing the accuracy and reliability of blood cell type identification.
Humans ; Single-Cell Analysis/methods* ; Sequence Analysis, RNA/methods* ; Blood Cells

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

To develop a method for determining the antibody-dependent cell-mediated phagocytosis (ADCP) activity of human epidermal growth factor receptor 2 (HER2)-targeted antibody drug conjugate (ADC) based on the reporter gene assay, we established an ADCP activity assay with Jurkat/NFAT/FcγRIIa cells as the effector cells and BT474 as the target cells. Then, the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were optimized by the method of design of experiment (DOE). The method showed a significant dose-response relationship, which was complied with the four-parameter equation: y=(A-D)/[1+(x/C)^B]+D. The durability ranges of the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were (2.5-4.0)×10⁵ cells/mL, 3-5, 1.0-2.0 h, 0 h, and 5.0-6.0 h, respectively. The results of the methodological validation showed that the linear equation was y=1.106 8x-0.011 6, r=0.969 2. The established method showed the relative accuracy ranging from -6.59% to 2.98% and the geometric coefficient of variation less than 11% in the intermediate precision test. Furthermore, the method was target-specific. The method was then applied to the determination of ADCP activity of HER2-targeted ADC, demonstrating the result of (103.5±5.7)%. We developed a reporter gene assay for determining the ADCP activity of HER2-targeted ADC and the assay demonstrated high accuracy and good reproducibility, which proposes a highly efficient and approache for evaluating ADCP effect of this HER2-targeted ADC, and also provides a referable technique for characterizing the Fc effector functions of ADCs with diverse targets.
Humans ; Receptor, ErbB-2/immunology* ; Phagocytosis/drug effects* ; Immunoconjugates/immunology* ; Genes, Reporter ; Antibody-Dependent Cell Cytotoxicity ; Jurkat Cells

Objective:To explore the effect of psoas muscle index (PMI) and construct a machine learning model to validate the 180-day prognosis in patients with decompensated liver cirrhosis.Methods:Retrospective data were collected from patients with decompensated liver cirrhosis at Henan Provincial People's Hospital from January 2022 to November 2022. The area of the psoas muscle index (PMI) at the level of the third lumbar vertebra was measured and calculated based on the abdominal X-ray computed tomography images stored in the Eastern China Hospital Information System (HIS). Patients were divided into low PMI and normal PMI groups according to the receiver operating characteristic curve. Patients clinical data and complication status were collected.The general conditions of both groups were compared using a t-test, chi-square test, and Mann-Whitney U test. The Kaplan-Meier method was applied for survival analysis. The outcome variable was 180-day mortality, and variables were selected using Cox and LASSO regression. The dataset was divided into training and testing sets in a 7∶3 ratio. Machine learning algorithms were used to build models in the training set, and model performance was validated by the test set. The model for MELD-Na score was compared with the model for End-Stage Liver Disease score. Results:A total of 298 patients with decompensated liver cirrhosis were included.The MELD scores, Child-Pugh classification, and NRS2002 scores, along with the incidence rate of complications such as ascites, hepatic encephalopathy, infections, and gastrointestinal bleeding, were significantly higher in the low PMI than the normal PMI group, with statistically significant differences ( P<0.05). The area under a receiver operating characteristic curve for the extreme gradient boosting model was higher than traditional clinical scores (MELD score 0.658, MELD_Na score 0.719) in the machine learning model. Furthermore, the application of SHAP results model indicated that PMI, hemoglobin, NRS2002 score, direct bilirubin, and blood ammonia were important factors in predicting the prognosis of patients with decompensated liver cirrhosis. Conclusion:A low PMI is closely related to poorer survival rates and the development of complication rates in patients with decompensated liver cirrhosis. The machine learning prediction model based on this construction, especially extreme gradient boosting, has favorable predictive performance, which is superior to the traditional clinical scoring system and can provide patients with the most accurate risk assessment and individualized treatment plan.

Objective To quantitatively assess the correlation between the skeletal muscle index(SMI)of patients and the occur-rence of anastomotic leakage(AL)in rectal cancer patients after surgery,and to analyze the risk factors for AL in rectal cancer patients and the influencing factors of sarcopenia.Methods The clinical,pathological,and related imaging data of 362 patients who under-went radical surgery for rectal cancer were retrospectively analyzed.All patients underwent pelvic MRI and abdominal CT scans(plain/enhanced)within one month before surgery,and the third lumbar vertebra skeletal muscle area(L3-SMA)was measured from the images.All patients were divided into AL group(56 cases)and control group(306 cases)based on the presence or absence of postoperative complications.The differences in clinical characteristics and imaging parameters between the two groups were analyzed.A logistic risk prediction model was established.Results Significant differences were observed between the two groups in sarcopenia,type of surgery,surgical approach,serum albumin level,operation duration,stoma type,and extramural vascular invasion(EMVI)(P＜0.05).These factors were incorporated in a multivariate logistic regression analysis model,the area under the curve(AUC)of receiver operating characteristic(ROC)curve of the model was 0.810[95％confidence interval(CI)0.743-0.876,P＜0.001],with a sensitivity of 0.865 and specificity of 0.669.Conclusion Sar-copenia is a significant risk factor for AL after rectal cancer surgery.It enhances the predictive efficacy for postoperative AL and serves as a basis for identifying high-risk populations for AL in clinical practice.

Objective:To explore the effect of psoas muscle index (PMI) and construct a machine learning model to validate the 180-day prognosis in patients with decompensated liver cirrhosis.Methods:Retrospective data were collected from patients with decompensated liver cirrhosis at Henan Provincial People's Hospital from January 2022 to November 2022. The area of the psoas muscle index (PMI) at the level of the third lumbar vertebra was measured and calculated based on the abdominal X-ray computed tomography images stored in the Eastern China Hospital Information System (HIS). Patients were divided into low PMI and normal PMI groups according to the receiver operating characteristic curve. Patients clinical data and complication status were collected.The general conditions of both groups were compared using a t-test, chi-square test, and Mann-Whitney U test. The Kaplan-Meier method was applied for survival analysis. The outcome variable was 180-day mortality, and variables were selected using Cox and LASSO regression. The dataset was divided into training and testing sets in a 7∶3 ratio. Machine learning algorithms were used to build models in the training set, and model performance was validated by the test set. The model for MELD-Na score was compared with the model for End-Stage Liver Disease score. Results:A total of 298 patients with decompensated liver cirrhosis were included.The MELD scores, Child-Pugh classification, and NRS2002 scores, along with the incidence rate of complications such as ascites, hepatic encephalopathy, infections, and gastrointestinal bleeding, were significantly higher in the low PMI than the normal PMI group, with statistically significant differences ( P<0.05). The area under a receiver operating characteristic curve for the extreme gradient boosting model was higher than traditional clinical scores (MELD score 0.658, MELD_Na score 0.719) in the machine learning model. Furthermore, the application of SHAP results model indicated that PMI, hemoglobin, NRS2002 score, direct bilirubin, and blood ammonia were important factors in predicting the prognosis of patients with decompensated liver cirrhosis. Conclusion:A low PMI is closely related to poorer survival rates and the development of complication rates in patients with decompensated liver cirrhosis. The machine learning prediction model based on this construction, especially extreme gradient boosting, has favorable predictive performance, which is superior to the traditional clinical scoring system and can provide patients with the most accurate risk assessment and individualized treatment plan.

Air Pollution/analysis* ; Environmental Exposure/analysis* ; China/epidemiology* ; Air Pollutants/analysis* ; Particulate Matter/analysis* ; Environmental Monitoring