The discovery of streptomycin in 1943 marked a new era in plague treatment. Over the subsequent eight decades, significant advances have been made through the implementation of various antibiotics, both as monotherapy and in combination regimens. These treatments have included aminoglycosides (such as streptomycin and gentamicin), tetracyclines, sulfonamides, chloramphenicol, quinolones, and beta-lactams, which have dramatically cut down the death rate from plague infections. However, due to bacterial adaptation mechanisms, Yersinia pestis can develop diminished sensitivity or resistance to certain antibiotics. This article examines the resistance mechanisms of Yersinia pestis and analyzes antimicrobial susceptibility patterns and resistance in plague treatment, aiming to provide scientific evidence for clinicians to understand the current status of traditional and new antibiotics in plague treatment and improve the treatment level of plague patients.

The plague is a infectious disease of natural focus. The occurrence of animal plague is a complex biological phenomenon, which is affected by many factors such as hosts, vectors, geographical landscapes, climate, human activities and so on. Its epidemiological patterns exhibit spatial and temporal characteristics. Therefore, the plague monitoring and early warning has always been the key to plague prevention and control, and remains a current research hotspot. In recent years, with the advancement of spatial epidemiology technology, it has been increasingly applied in plague prevention and control, and has made remarkable achievements in exploring the spatio-temporal relationships, influencing factors, monitoring and early warning of the plague. This article provides an overview of specific applications of spatial epidemiological methods in four areas, including spatial visualization of plague outbreaks, aggregation analysis, exploration of influencing factors, risk prediction and early warning. It aims to offer insights for the plague prevention and control personnel to better understand the suddenness and complexity of the plague from the perspective of spatial epidemiology, to uncover the epidemiological patterns of the plague, and to provide a reference for precise plague prevention and control.

The plague is a infectious disease of natural focus. The occurrence of animal plague is a complex biological phenomenon, which is affected by many factors such as hosts, vectors, geographical landscapes, climate, human activities and so on. Its epidemiological patterns exhibit spatial and temporal characteristics. Therefore, the plague monitoring and early warning has always been the key to plague prevention and control, and remains a current research hotspot. In recent years, with the advancement of spatial epidemiology technology, it has been increasingly applied in plague prevention and control, and has made remarkable achievements in exploring the spatio-temporal relationships, influencing factors, monitoring and early warning of the plague. This article provides an overview of specific applications of spatial epidemiological methods in four areas, including spatial visualization of plague outbreaks, aggregation analysis, exploration of influencing factors, risk prediction and early warning. It aims to offer insights for the plague prevention and control personnel to better understand the suddenness and complexity of the plague from the perspective of spatial epidemiology, to uncover the epidemiological patterns of the plague, and to provide a reference for precise plague prevention and control.

The discovery of streptomycin in 1943 marked a new era in plague treatment. Over the subsequent eight decades, significant advances have been made through the implementation of various antibiotics, both as monotherapy and in combination regimens. These treatments have included aminoglycosides (such as streptomycin and gentamicin), tetracyclines, sulfonamides, chloramphenicol, quinolones, and beta-lactams, which have dramatically cut down the death rate from plague infections. However, due to bacterial adaptation mechanisms, Yersinia pestis can develop diminished sensitivity or resistance to certain antibiotics. This article examines the resistance mechanisms of Yersinia pestis and analyzes antimicrobial susceptibility patterns and resistance in plague treatment, aiming to provide scientific evidence for clinicians to understand the current status of traditional and new antibiotics in plague treatment and improve the treatment level of plague patients.

Objective To investigate the implementation of surveillance,prevention and control measures for healthcare-associated infection(HAI)in maternal and child healthcare(MCH)institutions,and provide policy evi-dence for optimizing HAI prevention and control in MCH institutions.Methods Stratified sampling was conducted among the MCH institutions at provincial,municipal and county levels in 8 provinces/autonomous regions.A uni-fied questionnaire was designed and the online survey was conducted through"Questionnaire Star".Results The data from 123 MCH institutions were included in the analysis.90.24％of the MCH institutions carried out compre-hensive surveillance on HAI.The ratios of MCH institutions which implemented targeted surveillance on HAI in neonatal intensive care unit(NICU),surgical site infection,multidrug-resistant organisms(MDROs)and HAI in intensive care units(non-NICU excluded)were 89.66％,85.96％,80.77％,and 74.19％,respectively.51.22％MCH institutions adopted information surveillance system on HAI cases.94.31％MCH institutions carried out surveillance on hand hygiene compliance.Over 90％MCH institutions carried out surveillance on environment hy-giene in high-risk departments.71.54％MCH institutions conducted centralized cleaning,disinfection,sterilization and supply for reusable medical instruments in the central sterile supply department(CSSD).Over 90％MCH insti-tutions established three-level pre-examination triage systems.86.18％set up transitional wards.MCH institutions generally adopted a management model with established effective communication,full appointment visits,and sepa-rate visits for special medical groups,such as registered pregnant women,high-risk newborns,healthcare groups,and long-term rehabilitation patients.However,the ratio of institutions conducting on-line follow-up visits was less than 50％.Conclusion MCH institutions have generally carried out comprehensive and targeted surveillance on HAI.Information surveillance need to be facilitated.Hand hygiene and environmental hygiene surveillance has been popularized to a certain extent at all levels of MCH institutions.The cleaning,disinfection,sterilization,and supply processes of reusable medical devices in a few MCH institutions are not standardized.Special medical populations get effective management.On-line healthcare is to be further promoted.

OBJECTIVE: To establish a sensitive, simple and rapid detection method for African swine fever virus (ASFV) B646L gene. METHODS: A recombinase-aided amplification-lateral flow dipstick (RAA-LFD) assay was developed in this study. Recombinase-aided amplification (RAA) is used to amplify template DNA, and lateral flow dipstick (LFD) is used to interpret the results after the amplification is completed. The lower limits of detection and specificity of the RAA assay were verified using recombinant plasmid and pathogenic nucleic acid. In addition, 30 clinical samples were tested to evaluate the performance of the RAA assay. RESULTS: The RAA-LFD assay was completed within 15 min at 37 °C, including 10 min for nucleic acid amplification and 5 minutes for LFD reading results. The detection limit of this assay was found to be 200 copies per reaction. And there was no cross-reactivity with other swine viruses. CONCLUSION A highly sensitive, specific, and simple RAA-LFD method was developed for the rapid detection of the ASFV.
African Swine Fever/virology* ; African Swine Fever Virus/isolation & purification* ; Animals ; Nucleic Acid Amplification Techniques/methods* ; Recombinases/chemistry* ; Sensitivity and Specificity ; Swine ; Viral Proteins/genetics*

OBJECTIVE: To investigate the relationship between preoperative waiting time and prognosis of elderly patients with hip fracture. METHODS: From January 2014 to December 2018, 333 elderly hip fracture patients undergoing surgery were retrospectively analyzed, including 104 males and 229 females, aged from 60 to 99 years with an average of (77.93±8.49) years, and 183 patients were femoral neck fracture, 150 patients were femoral intertrochanteric fracture. Among them, 269 patients (80.78%) had a clustered preoperative waiting time of 2 to 8 days, and then divided into within 4-day group(91 cases) and over 4-day group(242 cases) according to their preoperative waiting time. The survival situation was followed by telephone, and follow-up time started from fracture admission to the death event, or to the research deadline (December 31, 2019). The Kaplan-Meier method was used for survival analysis, and Cox risk proportion model was used to analyze the independent risk factors of hip fracture in elderly patients. RESULTS: All patients were followed up for 12 to 75 months(means 35 months), 59 patients died and the mortality rate was 17.72%(59/333). Compared with within 4-day group, the mortality rate was higher in over 4-day group[20.66%(50/242) vs. 9.89%(9/91), χ²=5.263, P=0.022]. Multiariable Cox regression analysis showed that preoperative waiting time, age, male and Charlson comorbidity index were independent risk factors for the prognosis of hip fracture in elderly patients (all P<0.05), and every 1-day delay was associated with 5% increase of the risk of death[HR=1.05, 95%CI(1.00-1.10), P=0.045]. Subsequent analyse was stratified according to the Charlson comorbidity index (CCI), and found that over 4-day group had a higher mortality rate in patients with CCI<2, with statistically significant difference(P<0.05). CONCLUSION For elderly patients with hip fracture, most of hospitals could not complete the hip fracture surgery within 48 hours, we also need to shorten the waiting time before surgery, and thereby improve their prognosis.
Aged ; Female ; Femoral Neck Fractures ; Hip Fractures/surgery* ; Humans ; Male ; Prognosis ; Retrospective Studies ; Waiting Lists

The study investigates the mechanism by which Peganum harmala L. (Luotuopeng, LTP) inhibits tube formation in retinal vascular endothelial cells. Tube formation was induced by treatment of retinal vascular endothelial cells with glucose. The cells were divided into a normal group, model group, and an LTP group. The total length of tube formation was measured. The active components, targets, and pathway by which LTP acts in the treatment of diabetic retinopathy was explored by network pharmacology. The mRNA expression levels of targets [extracellular signal-regulated kinase 2 (ERK2), phosphoinositide 3 kinase catalytic alpha polypeptide (PIK3CA), serine/threonine-protein kinase 1 (AKT1)] related to the mitogen-activated protein kinase (MAPK) signaling pathway and vascular endothelial growth factor (VEGF) signaling pathway was measured by real-time PCR. The results of tube formation indicated that compared with the normal group, the total tube length increased in the model group (P < 0.01); after the treatment with LTP, the total tube length decreased compared with the model group (P < 0.01). Network pharmacology revealed that the targets of LTP included PIK3CA, AKT1, and ERK2, and the pathways involved the MAPK signaling pathway and the VEGF signaling pathway. Real-time PCR indicated that compared with the normal group, the mRNA expression levels of ERK2, PIK3CA and AKT1 were elevated in the model group (P < 0.05); after treatment with LTP, the mRNA expression levels of ERK2, PIK3CA and AKT1 decreased compared with the model group (P < 0.05). LTP may inhibit retinal vascular endothelial cell tube formation by regulating the MAPK signaling pathway and the VEGF signaling pathway. This study confirms the multi-targets and multi-pathways of LTP and provides a basis for its use in the treatment of diabetic retinopathy．

Purpose: This study aimed to investigate the potential systemic antitumor effects of stereotactic ablativeradiotherapy (SABR) and apatinib (a novel vascular endothelial growth factor receptor2 inhibitor) via reversing the immunosuppressive tumor microenvironment for lung carcinoma. Materials and Methods: Lewis lung cancer cells were injected into C57BL/6 mice in the left hindlimb (primary tumor;irradiated) and in the right flank (secondary tumor; nonirradiated). When both tumors grewto the touchable size, mice were randomly divided into eight treatment groups. These groupsreceived normal saline or three distinct doses of apatinib (50 mg/kg, 150 mg/kg, and 200mg/kg) daily for 7 days, in combination with a single dose of 15 Gy radiotherapy or not tothe primary tumor. The further tumor growth/regression of mice were followed andobserved. Results: For the single 15 Gy modality, tumor growth delay could only be observed at the primarytumor. When combining SABR and apatinib 200 mg/kg, significant retardation of both primaryand secondary tumor growth could be observed, indicated an abscopal effect wasinduced. Mechanism analysis suggested that programmed death-ligand 1 expressionincreased with SABR was counteract by additional apatinib therapy. Furthermore, whenapatinib was combined with SABR, the composition of immune cells could be changed.More importantly, this two-pronged approach evoked tumor antigen–specific immune responsesand the mice were resistant to another tumor rechallenge, finally, long-term survivalwas improved. Conclusion Our results suggested that the tumor microenvironment could be managed with apatinib,which was effective in eliciting an abscopal effect induced by SABR.

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.