Objective:To investigate the pathogenetic characteristics and risk factors of nosocomial infection with multidrug-resistant organisms (MDRO) in trauma patients.Methods:A retrospective case-control study was conducted to analyze the clinical data of 103 trauma patients with nosocomial infection admitted to the 926th Hospital of the Joint Logistics Support Force of the PLA from January 2021 to December 2023, including 84 males and 19 females aged 12-80 years [50(39, 59)years]. The patients were divided into MDRO infection group ( n=36) and non-MDRO infection group ( n=67) according to whether nosocomial MDRO infection occurred. The pathogenetic characteristics of MDRO infection were observed. Univariate analysis was used to compare the two groups in terms of their demographic characteristics (gender, age), comorbidities (hypertension, diabetes mellitus), injuries [multiple injuries, open injuries, injury severity score (ISS)], laboratory indicators (hemoglobin, leukocytes) on admission, and other treatment data (emergency admission to the healthcare facility, transferal, length of hospital stay before diagnosis of infection, number of surgeries before diagnosis of infection, blood transfusion before diagnosis of infection, tracheotomy/tracheal intubation before diagnosis of infection). Logistic regression analysis was used to screen the independent risk factors for nosocomial MDRO infection in trauma patients. Results:A total of 52 MDRO strains were detected, including 17 Gram-positive (33%) and 35 Gram-negative (67%) ones, with the top 5 strains being Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae, and Staphylococcus epidermidis, respectively. The specimen source with the most detected MDRO strains was wound/incision secretion, followed by sputum. The results of the univariate analysis showed statistically significant differences in ISS and hemoglobin on admission between two groups ( P<0.05); however, no statistically significant differences were observed in gender, age, hypertension, diabetes mellitus, multiple injuries, open injuries, leukocytes on admission, emergency admission to the healthcare facility, transferal, length of hospital stay before diagnosis of infection, number of surgeries before diagnosis of infection, blood transfusion before diagnosis of infection, or tracheotomy/tracheal intubation before diagnosis of infection ( P>0.05). The results of the multivariate Logistic regression analysis showed that male gender ( OR=5.01, 95% CI 1.09, 23.08, P<0.05), age ( OR=1.03, 95% CI 1.00, 1.07, P<0.05), multiple injuries ( OR=5.28, 95% CI 1.04, 26.87, P<0.05), hemoglobin on admission ( OR=0.97, 95% CI 0.95, 0.99, P<0.05), and length of hospital stay before diagnosis of infection ( OR=1.06, 95% CI 1.01, 1.11, P<0.05) were significantly associated with the occurrence of nosocomial MDRO infection in trauma patients. Conclusions:In trauma patients, nosocomial MDRO infection pathogens were predominantly Gram-negative and the top five strains are Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae and Staphylococcus epidermidis, respectively. Male gender, age, multiple injuries, hemoglobin on admission and length of hospital stay before diagnosis of infection are independent risk factors for the occurrence of nosocomial MDRO infection in trauma patients.

Objective:To investigate the pathogenetic characteristics and risk factors of nosocomial infection with multidrug-resistant organisms (MDRO) in trauma patients.Methods:A retrospective case-control study was conducted to analyze the clinical data of 103 trauma patients with nosocomial infection admitted to the 926th Hospital of the Joint Logistics Support Force of the PLA from January 2021 to December 2023, including 84 males and 19 females aged 12-80 years [50(39, 59)years]. The patients were divided into MDRO infection group ( n=36) and non-MDRO infection group ( n=67) according to whether nosocomial MDRO infection occurred. The pathogenetic characteristics of MDRO infection were observed. Univariate analysis was used to compare the two groups in terms of their demographic characteristics (gender, age), comorbidities (hypertension, diabetes mellitus), injuries [multiple injuries, open injuries, injury severity score (ISS)], laboratory indicators (hemoglobin, leukocytes) on admission, and other treatment data (emergency admission to the healthcare facility, transferal, length of hospital stay before diagnosis of infection, number of surgeries before diagnosis of infection, blood transfusion before diagnosis of infection, tracheotomy/tracheal intubation before diagnosis of infection). Logistic regression analysis was used to screen the independent risk factors for nosocomial MDRO infection in trauma patients. Results:A total of 52 MDRO strains were detected, including 17 Gram-positive (33%) and 35 Gram-negative (67%) ones, with the top 5 strains being Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae, and Staphylococcus epidermidis, respectively. The specimen source with the most detected MDRO strains was wound/incision secretion, followed by sputum. The results of the univariate analysis showed statistically significant differences in ISS and hemoglobin on admission between two groups ( P<0.05); however, no statistically significant differences were observed in gender, age, hypertension, diabetes mellitus, multiple injuries, open injuries, leukocytes on admission, emergency admission to the healthcare facility, transferal, length of hospital stay before diagnosis of infection, number of surgeries before diagnosis of infection, blood transfusion before diagnosis of infection, or tracheotomy/tracheal intubation before diagnosis of infection ( P>0.05). The results of the multivariate Logistic regression analysis showed that male gender ( OR=5.01, 95% CI 1.09, 23.08, P<0.05), age ( OR=1.03, 95% CI 1.00, 1.07, P<0.05), multiple injuries ( OR=5.28, 95% CI 1.04, 26.87, P<0.05), hemoglobin on admission ( OR=0.97, 95% CI 0.95, 0.99, P<0.05), and length of hospital stay before diagnosis of infection ( OR=1.06, 95% CI 1.01, 1.11, P<0.05) were significantly associated with the occurrence of nosocomial MDRO infection in trauma patients. Conclusions:In trauma patients, nosocomial MDRO infection pathogens were predominantly Gram-negative and the top five strains are Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae and Staphylococcus epidermidis, respectively. Male gender, age, multiple injuries, hemoglobin on admission and length of hospital stay before diagnosis of infection are independent risk factors for the occurrence of nosocomial MDRO infection in trauma patients.

BACKGROUND:The small-diameter blood vessel prosthesis faces the problem of lumen stenosis or even occlusion due to thrombogenesis and intimal hyperplasia after transplantation.The application of stem cells as seed cells to achieve endothelialization of blood vessel prosthesis helps to improve the long-term patency rate after vascular graft transplantation. OBJECTIVE:To summarize the research progress of the application of stem cells in the endothelialization of small-diameter blood vessel prosthesis. METHODS:The relevant articles published on PubMed and WanFang databases from 2013 to 2023 were retrieved by the first author.Chinese and English search terms included"vascular graft,tissue-engineered blood vessel/vascular tissue engineering,endothelialization,stem cells,endothelial progenitor cells,mesenchymal stem cells,induced pluripotent stem cells,embryonic stem cells."The relative articles in the domestic and overseas about the application of stem cells in the endothelialization of small-diameter blood vessel prosthesis in the past 10 years were retrieved.A total of 552 articles were initially found and we finally selected 81 articles to review according to inclusion and exclusion criteria. RESULTS AND CONCLUSION:(1)The low long-term patency rate restricts the application of small-diameter blood vessel prosthesis in clinic.The main causes of low long-term patency rate are thrombogenesis and intimal hyperplasia.The endothelium of native vessels has the function of anti-thrombogenesis and intimal hyperplasia.Endothelialization can simulate the function of native vessels,which is an effective way to improve long-term patency rate.(2)The small-diameter blood vessel prosthesis will undergo in vivo endothelialization after being implanted,but it is difficult to form complete endothelium.Stem cells have the potential to differentiate into endothelial cells.Recruiting stem cells in vivo or seeding them on the inner surface of blood vessel prosthesis in vitro is research strategy to achieve endothelialization.(3)The long-term patency rate of small-diameter blood vessel prosthesis has been improved to a certain extent through seeding endothelial progenitor cells,mesenchymal stem cells,induced pluripotent stem cells,and embryonic stem cells.Each has its own advantages.Endothelial progenitor cells are easy to obtain and can be directly used for seeding.Mesenchymal stem cells come from a wide range of sources and have the function of paracrine and immunological regulation.Induced pluripotent stem cells are rich in sources and the immunogenicity can be eliminated.Embryonic stem cells have a strong proliferative ability and can differentiate into many cells.(4)The application of stem cells in blood vessel prosthesis has not yet been transformed into clinic.Further researches are needed to promote clinical translation.

This study aims to establish an antibody detection method for porcine deltacoronavirus (PDCoV). The recombinant proteins PDCoV-N1 and PDCoV-N2 were expressed via the prokaryotic plasmid pColdII harboring the N gene sequence of the PDCoV strain CH/XJYN/2016. The reactivity and specificity of PDCoV-N1 and PDCoV-N2 with anti-PEDV sera were analyzed after the recombinant proteins were analyzed by SDS-PAGE and purified by the Ni-NTA Superflow Cartridge. Meanwhile, Western blotting and indirect immunofluorescence assay were carried out separately to validate the recombinant proteins PDCoV-N1 and PDCoV-N2. Finally, we established an indirect ELISA method based on the recombinant protein PDCoV-N2 after optimizing the conditions and tested the sensitivity, specificity, and reproducibility of the method. Then, the established method was employed to examine 102 clinical serum samples. The recombinant protein PDCoV-N2 showed low cross-reactivity with anti-PEDV sera. The optimal conditions of the indirect ELISA method based on PDCoV-N2 were as follows: the antigen coating concentration of 1.25 μg/mL and coating at 37 ℃ for 1 h; blocking by BSA overnight at 4 ℃; serum sample dilution at 1:50 and incubation at 37 ℃ for 1 h; secondary antibody dilution at 1:80 000 and incubation at 37 ℃ for 1 h; color development with TMB chromogenic solution at 37 ℃ for 10 min. The S/P value ≥ 0.45, ≤0.38, and between 0.45 and 0.38 indicated that the test sample was positive, negative, and suspicious, respectively. The testing results of the antisera against porcine epidemic diarrhea virus (PEDV), porcine circovirus 2 (PCV2), transmissible gastroenteritis virus (TGEV), foot-and-mouth disease virus (FMDV), and African swine fever virus (ASFV) showed that the S/P values were all less than 0.38. The testing results of the 800-fold diluted anti-PDCoV sera were still positive. The results of the inter- and intra-batch tests showed that the coefficients of variation of this method were less than 10%. Clinical serum sample test results showed the coincidence rate between this method and neutralization test was 94.12%. In this study, an ELISA method for the detection of anti-PDCoV antibodies was successfully established based on the truncated N protein of PDCoV. This method is sensitive, specific, stable, and reproducible, serving as a new method for the clinical diagnosis of PDCoV.
Animals ; Enzyme-Linked Immunosorbent Assay/methods* ; Swine ; Antibodies, Viral/blood* ; Recombinant Proteins/genetics* ; Deltacoronavirus/isolation & purification* ; Coronavirus Infections/virology* ; Swine Diseases/diagnosis* ; Coronavirus Nucleocapsid Proteins ; Sensitivity and Specificity

Objective To investigate the expression changes of T-cell exhaustion-related genes in multiple myeloma(MM)and their potential causal relationships.Methods A bidirectional summary-level Mendelian randomization(MR)analysis was used to explore the causal relationship between T-cell exhaustion and MM.The eQTL data and genome-wide association study(GWAS)were used to summarize data,and corresponding single nucleotide polymorphisms(SNPs)were extracted as instru-mental variables.Four methods,namely inverse variance weighted(IVW)method,MR Egger,weighted median,and weighted mode were used to assess the reliability of the causal relationship.The robustness of the results was validated using Cochran's Q heterogeneity test and pleiotropy test.In cel-lular models,RNA interference was used to silence key target genes,and phenotypic changes such as myeloma cell viability,colony-forming ability,and apoptosis were observed to experimentally confirm the causal effects revealed by MR.Results The genes PRDM1,ENTPD1,PTPN11,and HLA-B were involved in the T-cell exhaustion process in MM.The presence of the PRDM1 gene(OR=0.998 5,95％CI,0.997 1 to 0.999 8,P=0.024 6)may reduce the risk of MM,whereas ENTPD1(OR=1.000 4,95％CI,1.000 1 to 1.000 7,P=0.015 8),HLA-B(OR=1.000 4,95％CI,1.000 1 to 1.000 8,P=0.012 4),and PTPN11(OR=1.002 5,95％CI,1.001 0 to 1.003 9,P=0.001 2)were associated with an increased risk of MM.Real-time quantitative polymerase chain reaction showed overexpression of PTPN11 in MM cell lines and patients' samples.By assessing cell viabili-ty,colony formation and detecting apoptosis,it was found that inhibiting PTPN11 promoted apopto-sis in MM cell lines.Conclusion A causal relationship exists between T-cell exhaustion and MM.Targeted interventions against specific T-cell exhaustion-related genes may help reduce the incidence of MM.

Objective:To analyze the latent profile characteristics of self-management ability in patients with metabolic-associated fatty liver disease (MAFLD) and explore its influencing factors.Methods:This was a cross-sectional study. A total of 311 patients with metabolic-associated fatty liver disease (MAFLD) were selected from the First Affiliated Hospital of Sun Yat-sen University (including those receiving treatment and undergoing physical examinations) between August and October 2024. Data were collected using a general information questionnaire, the self-management Scale for Patients with Non-Alcoholic Fatty Liver Disease, and the Social Support Rating Scale. After excluding 51 patients due to incomplete questionnaire responses or logical inconsistencies, 260 patients were finally included in the analysis. Latent profile analysis was used to identify potential categories of patients′ self-management abilities. With the latent categories as the dependent variable and items with P<0.05 in univariate analysis as independent variables, a multivariate logistic regression analysis (with the "poor self-management group" as the reference group) was performed to explore the influencing factors. Results:Among the 260 participants included in the study, three potential categories of self-management behaviors were finally identified, namely the active self-management group with 106 cases (40.8%), the moderate self-management group with 118 cases (45.4%), and the passive self-management group with 36 cases (13.8%).Results of multivariate logistic regression analysis showed that, compared with the passive self-management group:Patients who resided in rural areas ( OR=0.130, 95% CI: 0.040-0.420), often stayed up late ( OR=0.200, 95% CI: 0.060-0.590), or had an average daily sleep duration of≤5 hours ( OR=0.160, 95% CI: 0.050-0.510) had a significantly lower probability of belonging to the "active self-management group";In contrast, patients with an education level of senior high school or above ( OR=7.530, 95% CI: 1.740-34.160) or a higher total score of social support ( OR=1.120, 95% CI: 1.030-1.210) had a significantly higher probability of being in the "active self-management group" (all P<0.05). Conclusion:There is heterogeneity in self-management ability among patients with metabolic associated fatty liver disease (MAFLD). Residential area, educational level, frequency of staying up late, average daily sleep duration, and social support are influencing factors of patients′ self-management ability.

Objective:To analyze the latent profile characteristics of self-management ability in patients with metabolic-associated fatty liver disease (MAFLD) and explore its influencing factors.Methods:This was a cross-sectional study. A total of 311 patients with metabolic-associated fatty liver disease (MAFLD) were selected from the First Affiliated Hospital of Sun Yat-sen University (including those receiving treatment and undergoing physical examinations) between August and October 2024. Data were collected using a general information questionnaire, the self-management Scale for Patients with Non-Alcoholic Fatty Liver Disease, and the Social Support Rating Scale. After excluding 51 patients due to incomplete questionnaire responses or logical inconsistencies, 260 patients were finally included in the analysis. Latent profile analysis was used to identify potential categories of patients′ self-management abilities. With the latent categories as the dependent variable and items with P<0.05 in univariate analysis as independent variables, a multivariate logistic regression analysis (with the "poor self-management group" as the reference group) was performed to explore the influencing factors. Results:Among the 260 participants included in the study, three potential categories of self-management behaviors were finally identified, namely the active self-management group with 106 cases (40.8%), the moderate self-management group with 118 cases (45.4%), and the passive self-management group with 36 cases (13.8%).Results of multivariate logistic regression analysis showed that, compared with the passive self-management group:Patients who resided in rural areas ( OR=0.130, 95% CI: 0.040-0.420), often stayed up late ( OR=0.200, 95% CI: 0.060-0.590), or had an average daily sleep duration of≤5 hours ( OR=0.160, 95% CI: 0.050-0.510) had a significantly lower probability of belonging to the "active self-management group";In contrast, patients with an education level of senior high school or above ( OR=7.530, 95% CI: 1.740-34.160) or a higher total score of social support ( OR=1.120, 95% CI: 1.030-1.210) had a significantly higher probability of being in the "active self-management group" (all P<0.05). Conclusion:There is heterogeneity in self-management ability among patients with metabolic associated fatty liver disease (MAFLD). Residential area, educational level, frequency of staying up late, average daily sleep duration, and social support are influencing factors of patients′ self-management ability.

Objective:To explore the genetic etiology and clinical phenotype of Feingold syndrome due to chromosome 2p24.3p24.2 microdeletion.Methods:The clinical data of a child admitted to Henan Provincial People′s Hospital in November 2021 and diagnosed as Feingold syndrome type 1 (FGLDS1) associated with chromosome 2p24.3p24.2 microdeletion were collected. The clinical and genetic variation characteristics of the patient were summarized, and 10 patients with chromosome 2p microdeletion reported until November 2022 were reviewed.Results:The boy was 12 years and 5 months old. He presented with backward physical development, motor development retardation, low intelligence, special body and facial appearance, finger developmental deformity and other manifestations, accompanied by hyperactivity and aggressive behavior, impulsive irritability, self-injury and other behavior problems. The proband showed normal chromosome karyotype; the genome-wide copy number variant sequencing and trio-whole exome sequencing revealed a 2.61 Mb deletion at chromosome 2p24.3p24.2 region, and 10 genes including MYCN gene (exons 1 to 3) in the deleted region.The same deletion was not found in either of his parents. The genetic features of 11 cases (including this case) with chromosome 2p microdeletion were summarized, all of whom had insufficient haploid dosage of the MYCN gene due to chromosome 2p microdeletion, and the clinical manifestations of these 11 patients matched the clinical diagnosis of FGLDS1. Conclusion:The proband is consistent with the clinical presentation of the typical Feingold syndrome, and the haploinsufficiency of the MYCN gene due to the microdeletion of chromosome 2 is the genetic etiology of the proband.

BACKGROUND:Traditional 3D dental segmentation methods usually utilize predefined spatial geometric features,such as curvature and normal vectors,as the reference information for tooth segmentation. OBJECTIVE:To propose an algorithm for complex 3D dental segmentation and deeply explore the correlation between segmentation results and application scenarios. METHODS:A 3D dental segmentation algorithm based on dual stream extraction of structural features and spatial features was established,and the modular design of split flow was used to avoid feature confusion.Among them,the attention mechanism on the structural feature flow was used to capture the fine-grained semantic information required for tooth segmentation,and the Tran Net based on the spatial feature flow was used to ensure the robustness of the model to complex tooth and jaw segmentation.This algorithm verified its effectiveness and reliability based on clinical datasets including healthy dental jaws and complex dental jaws such as missing teeth,malocclusion and dentition crowding.The segmentation performance of the model was measured in terms of overall accuracy,mean intersection over union,and directional cut discrepancy. RESULTS AND CONCLUSION:The overall segmentation accuracy of this algorithm in the clinical data set is 97.08%,and the segmentation effect is superior to that of other competitive methods from the qualitative and quantitative perspectives.It is verified that the structural feature flow designed in this paper can extract more precise local details of tooth shape from coordinate and normal information by constructing an attention aggregation mechanism,and the spatial feature flow designed in this paper can ensure the robustness of the model to complex teeth such as missing teeth,dislocated teeth,and crowded dentition by constructing a transformation network(Tran Net).Therefore,this tooth segmentation algorithm is highly reliable for clinicians'practical reference.

OBJECTIVE To explore the application value of indocyanine green combined with near-infrared autofluorescence imaging technique in identifying pathological parathyroid glands during surgery for primary hyperparathyroidism (PHPT). METHODS Data from 40 patients with PHPT treated in Beijing Tongren Hospital,Capital Medical University were collected,including 10 patients in the indocyanine green treated group and 30 patients in the non-treated group. All patients underwent surgical treatment to remove the affected parathyroid glands. Near-infrared autofluorescence imaging was used for image acquisition,and ImageJ software was used for fluorescence intensity analysis. RESULTS The fluorescence intensity of the pathological parathyroid glands in the indocyanine green-treated group was significantly higher than that in the non-treated group(142.7±23.7 vs. 94.5±31.4,t=-4.434,P=0.000);the fluorescence ratio of pathological parathyroid glands/thyroid glands was significantly higher than that in the non-treated group(1.6±0.3 vs. 1.2±0.4,t=-3.162,P=0.004). There was no correlation between the fluorescence intensity of parathyroid glands in the non-treated group and preoperative blood calcium(r=0.029,P=0.088) and preoperative PTH level(r=-0.142,P=0.455),and there was also no correlation between the fluorescence intensity of parathyroid glands in the treated group and preoperative blood calcium(r=0.206,P=0.568) and preoperative PTH level(r=0.160,P=0.658). The detection rate of near-infrared light in the non-treated group was 53.3％(16/30),while that in the treated group was 100％(10/10). The average detection time for the non-treated group was (71.0±16.9)minutes,while that for the treated group was (52.7±11.1)minutes,with a significant difference between the two groups(t=3.187,P=0.003). CONCLUSION The combination of indocyanine green and near-infrared autofluorescence imaging technique is helpful for identifying the diseased parathyroid glands during the surgical treatment of PHPT.