Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

With the acceleration of industrialization,the issue of heavy metal pollution has become increasingly severe,and the potential threat to the ecological environment and human health is increasing.It is necessary and important to detect the contents and species of heavy metal ions.To reduce the influence of complex sample matrices and enrich low contents of analytes,suitable sample pretreatment is usually required before analysis.In recent years,magnetic solid phase extraction(MSPE)based on magnetic extraction materials prepared by rational design and functional modification have attracted much attention in the analysis of heavy metal ions due to their high selectivity,satisfactory adsorption capacity and efficient separation ability.In this paper,the application progress of magnetic composite materials based on ion imprinted polymers,chitosan,metal organic frameworks,ionic liquids and other polymers in the extraction of heavy metal ions from environmental water samples,seafood,radioactive waste and food in recent years was reviewed.The current review focused on the preparation of representative materials in the same category and their adsorption performance towards heavy metal ions.The challenges were analyzed and the future development trend was also prospected.

Methods: Questionnaire items were created based on a literature review, followed by a process of content validation by experts and modification based on expert opinions to achieve an acceptable content validity index (CVI, 0.70–1.00). To calculate factor loadings for each question, a pilot test was subsequently conducted from a pool of patients who underwent lumbar spine surgeries for degenerative spine diseases. Results: All items achieved a CVI of >0.85 for both relevancy and clarity and were successfully validated after appropriate corrections were made before the second validation phase. Except for Q9 and Q10, which showed low-loading factors in the pooled sample, the remainder of the items had acceptable loading factors across different subgroups, indicating that the passage of time did not affect the results of the exploratory factor analysis. Conclusions The retrospective questionnaire that encompasses the general well-being and lumbar-specific symptoms is a valid and reliable instrument to provide an impression of the outcome after intervention in a patient with a degenerative lumbar spinal disease. A summative score will indicate the overall outcome.

OBJECTIVE: To investigate the effect of Cyr61 on imatinib (IM) resistance in chronic myeloid leukemia (CML) and its mechanism. METHODS: Cyr61 level in cell culture supernatant was determined by enzyme-linked immunosorbent assay. The expression of Cyr61 and Bcl-xL were measured by real-time PCR and Western blot. Cell apoptosis was analyzed using an Annexin V-APC Kit. Expression of signal pathways related proteins was determined by Western blot. RESULTS: The level of Cyr61 obviously increased in K562G cells (IM resistance to CML cell line K562). Down-regulating the expression of Cyr61 decreased the resistance of K562G cells to IM and promoted IM induced apoptosis. In CML mouse model, down-regulating the expression of Cyr61 could increase the sensitivity of K562G cells to IM. The mechanism studies showed that Cyr61 mediated IM resistance in CML cells was related to the regulation of ERK1/2 pathways and apoptosis related molecule Bcl-xL by Cyr61. CONCLUSION Cyr61 plays an important role in promoting IM resistance of CML cells. Targeting Cyr61 or its related effectors pathways may be one of the ways to overcome IM resistance of CML cells.
Animals ; Humans ; Mice ; Apoptosis ; Drug Resistance, Neoplasm ; Imatinib Mesylate/pharmacology* ; K562 Cells ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/metabolism* ; Signal Transduction

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

OBJECTIVE: To explore the effects of prognostic nutritional index (PNI) combined with D-dimer on the prognosis of patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). METHODS: The clinical data of 73 DLBCL patients at initial diagnosis were retrospectively evaluated, and the optimal cut-off point of PNI and D-dimer were determined by ROC curve. The overall survival (OS) rate and progression-free survival (PFS) rate in different subgroups were compared using Kaplan-Meier survival curves. Univariate and multivariate Cox regression analysis was performed to identify the factors associated with OS. RESULTS: Compared with the low PNI group (PNI<44.775), the high PNI group (PNI≥44.775) had better OS (P =0.022) and PFS (P =0.029), the 2-year OS rates of the two groups were 55.6% and 78.3% respectively (P =0.041). Compared with the high D-dimer group (D-dimer≥0.835), the low D-dimer group (D-dimer<0.835) had better OS (P <0.001) and PFS (P <0.001), the 2-year OS rates of the two groups were 51.4% and 86.8% respectively (P =0.001). Meanwhile, patients in the high PNI+ low D-dimer group had better OS (P =0.003) and PFS (P <0.001) than the other three groups, the 2-year OS rate was statistically different from the other three groups (P <0.05). The multivariate analysis revealed that NCCN-IPI (HR =2.083, 95%CI : 1.034-4.196, P =0.040), PNI (HR =0.267, 95%CI : 0.076-0.940, P =0.040) and PNI+D-dimer (HR =9.082, 95%CI : 1.329-62.079, P =0.024) were the independent risk factors affecting OS in patients with DLBCL. Subgroup analysis showed that PNI, D-dimer, and PNI combined with D-dimer could improve the prognostic stratification in low and low-intermediate risk DLBCL patients. CONCLUSION High PNI, low D-dimer and combination of high PNI and low D-dimer at initial diagnosis suggest a better prognosis in DLBCL patients.
Humans ; Prognosis ; Nutrition Assessment ; Retrospective Studies ; Lymphoma, Large B-Cell, Diffuse/pathology*

Objective To design a mobile intelligent inventory system for medical equipment to solve the problems of medical equipment management in efficiency and accuracy due to manual inventory.Methods A mobile intelligent inventory system for medical equipment was designed with radio frequency identification(RFID)technology,optical character recognition technology and wireless network technology,which was composed of a photo acquisition device,an inventory workstation,a wireless router,a mobile cart,a RFID barcode printer and a mobile power source.The photo acquisition device realized equipment image collection with a photography App in the cell phone or tablet computer;the inventory workstation consisted of an offline inventory system and an equipment nameplate recognition system,which built inventory tasks with Tomcat Web service and identified equipment nameplate information through feature-based learning algorithms;the RFID barcode printer controlled label printing by an offline inventory system embedded into its driver.Results The system developed executed medical equipment inventory and labeling simultaneously,which established electronic file for each piece of equipment to realize accounts corresponding to the equipment accurately.Conclusion The inventory system developed enhances the efficiency of medical equipment inventory,standardizes the flow of medical equipment ledger management and provides support for life-cycle management of medical equipment.[Chinese Medical Equipment Journal,2023,44(11):45-49]

Humans ; Hematopoiesis, Extramedullary ; Liver Neoplasms/diagnosis* ; Diagnostic Errors

This study aimed to investigate the neurotoxicity induced by trichloroacetic acid (TCA) and the possible protective mechanisms of boron (B). Mouse BV2 cells were treated with TCA (0, 0.39, 0.78, 1.56, 3.12, 6.25, or 12.5 mmol/L) and B (0, 7.8, 15.6, 31.25, 62.5, 125, 500, or 1,000 mmol/L) for 3 h and 24 h, respectively. Then, reactive oxygen species, and supernatant proinflammatory cytokine and protein levels were analyzed after 24 h of combined exposure. Beyond the dose-dependent decrease in the cellular viability, it clearly increased after B supplementation ( P < 0.05). Moreover, B decreased oxidative damage, and significantly down-regulated IL-6 levels and up-regulated TNF-β production ( P < 0.05). B also decreased apoptosis via the p53 pathway. The present findings indicated that TCA may induce oxidative damage, whereas B mitigates these adverse effects by decreasing cell apoptosis.
Animals ; Apoptosis ; Boron/toxicity* ; Mice ; Oxidative Stress ; Reactive Oxygen Species/metabolism* ; Trichloroacetic Acid/toxicity* ; Tumor Suppressor Protein p53/metabolism*