Objective:To establish and validate a clinical and CT radiomics combined model for predicting lymph node metastasis (LNM) risk in patients with hilar cholangiocarcinoma (HCCA).Methods:This was a case-control study. Data from 158 pathologically confirmed HCCA patients between January 2016 and January 2022 at the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed. Using stratified random sampling, the patients were randomly divided into a training set ( n=95) and an internal validation set ( n=63) at a 6∶4 ratio. According to postoperative pathology, 31 LNM-positive cases and 64 LNM-negative cases were in the training set, and 22 LNM-positive cases and 41 LNM-negative cases were in the internal validation set. A cohort of 50 HCCA patients was retrospectively collected from West China Hospital of Sichuan University between October 2018 and June 2021 as an external validation set, including 21 LNM-positive and 29 LNM-negative cases. Clinical features were selected by multivariate logistic regression analysis to establish a clinical model. Radiomics features were extracted from portal venous phase CT images using 3D Slicer software. A radiomics model was developed using the least absolute shrinkage and selection operator regression algorithm. A clinical-radiomics model was constructed by integrating clinical features and Radscore, and a nomogram was developed. The prediction performance of models was evaluated by the area under the receiver operating characteristic curve (AUC). The AUC values were compared using the DeLong test. Calibration curves and decision curves were plotted to assess calibration and clinical net benefit. Results:Clinical N (cN) staging was an independent risk factor for LNM ( OR=6.86, 95% CI 2.70-18.49, P<0.001). Totally 12 optimal features were selected to construct the radiomics model, and the clinical-radiomics nomogram model was constructed by combining cN staging and Radscore. In the external validation set, the AUC (95% CI) of the clinical model, radiomics model, and clinical-radiomics nomogram were 0.706 (0.576-0.836), 0.768 (0.637-0.899), and 0.803 (0.680-0.926), respectively. The nomogram achieved higher AUC than clinical and radiomics models with statistical significance ( Z=2.01, 2.21; P=0.044, 0.027). The calibration and decision curves demonstrated good model fit, providing clinical net benefits for patients. Conclusion:The clinical-radiomics nomogram model combining cN staging and CT radiomics features can effectively predict LNM risk in HCCA patients.

BACKGROUND:Osteonecrosis of the femoral head is a common orthopedic disease,and hip preservation surgery with bone grafting is commonly used in the early stage,in which autologous bone and allograft bone are commonly used as bone grafting materials.However,autologous bone transplantation is highly traumatic and bone supply is limited,and allograft bone is rich in sources,but there are serious risks of immune rejection and absorption.In recent years,the tissue engineering technique based on mesenchymal stem cells is a new method for the treatment of femoral head necrosis,which is gradually widely used after basic experiments and clinical application. OBJECTIVE:To review the application and prospect of tissue engineering in the treatment of osteonecrosis of the femoral head to provide a new choice for the clinical treatment of osteonecrosis of the femoral head. METHODS:The PubMed database and CNKI database from 2013 to 2023 were searched by the first author with Chinese and English search terms"tissue engineering,mesenchymal stem cells,biological scaffolds,cytokines,osteonecrosis of the femoral head,bone graft,hip preservation".The articles on the treatment of osteonecrosis of the femoral head with tissue engineering technology were selected,and 55 representative articles were included for review after the initial screening of all articles according to the inclusion and exclusion criteria. RESULTS AND CONCLUSION:(1)With the continuous development of biotechnology and materials science,great progress has been made in the treatment of osteonecrosis of the femoral head by bone tissue engineering,such as the application of gene-modified mesenchymal stem cells to repair osteonecrosis,the combination of gene recombination technology and surface modification technology with bone tissue engineering in the treatment of osteonecrosis of the femoral head.(2)When applied to the necrotic femoral head,tissue engineering technology can promote the regeneration of necrotic bone tissue and the repair of the vascular system,provide biomechanical stability for the necrotic area,and use bioactive factors to accelerate the repair of seed cells to complete the regeneration of new bone in necrotic area.(3)However,most of these studies are still in the animal experiment stage,and there are still many unsolved problems and challenges in bone tissue engineering research.With the rapid development of nanotechnology,tissue engineering and clinical medicine,biomimetic replacement bone grafting materials with perfect performance are expected to come into being.(4)In the future,bone tissue engineering for osteonecrosis of the femoral head is expected to be a satisfactory treatment for patients with hip preservation.

Background::Findings on the association of genetic factors and colorectal cancer (CRC) survival are limited and inconsistent, and revealing the mechanism underlying their prognostic roles is of great importance. This study aimed to explore the relationship between functional genetic variations and the prognosis of CRC and further reveal the possible mechanism.Methods::We first systematically performed expression quantitative trait locus (eQTL) analysis using The Cancer Genome Atlas (TCGA) dataset. Then, the Kaplan-Meier analysis was used to filter out the survival-related eQTL target genes of CRC patients in two public datasets (TCGA and GSE39582 dataset from the Gene Expression Omnibus database). The seven most potentially functional eQTL single nucleotide polymorphisms (SNPs) associated with six survival-related eQTL target genes were genotyped in 907 Chinese CRC patients with clinical prognosis data. The regulatory mechanism of the survival-related SNP was further confirmed by functional experiments.Results::The rs71630754 regulating the expression of endoplasmic reticulum aminopeptidase 1 ( ERAP1) was significantly associated with the prognosis of CRC (additive model, hazard ratio [HR]: 1.43, 95% confidence interval [CI]: 1.08-1.88, P = 0.012). The results of dual-luciferase reporter assay and electrophoretic mobility shift assay showed that the A allele of the rs71630754 could increase the binding of transcription factor 3 (TCF3) and subsequently reduce the expression of ERAP1. The results of bioinformatic analysis showed that lower expression of ERAP1 could affect the tumor immune microenvironment and was significantly associated with severe survival outcomes. Conclusion::The rs71630754 could influence the prognosis of CRC patients by regulating the expression of the immune-related gene ERAP1. Trial Registration::No. NCT00454519 (https://clinicaltrials.gov/)

With the development of space technology,the health risks for astronauts in space have also increased,which has made the application value of telemedicine technology in space exploration more prominent.In the outer space environment,various exogenous and endogenous factors may affect human health in multiple ways.As deep space exploration advances and space technology develops,the risks of astronauts'health issues in space increase,and telemedicine technology has important application value in space exploration,which is related to astronauts'lives,health,and the success of missions.This article summarizes the research progress of telemedicine technology in recent years,analyzes remote medical diagnosis and treatment,intelligent surgical robots,and the application of artificial intelligence,discusses the latest progress in related fields at home and abroad,and provides a reference for the medical support of long-term space flight.

In the field of space exploration,the importance of microorganisms to human health cannot be ignored,and they will play a crucial role in maintaining astronaut health,ensuring habitat sustainability,and ensuring the success of the entire mission.Microorganisms may have negative impacts on space missions,but they also have practical value.This article reviews research progress in recent years on the effects of space environments on microorganisms,the current status of microbial contamination in space environments,detection methods,and the application of microorganisms in the field of space health.It clarifies that research on the impact of microorganisms and microbial ecosystems in space exploration is not only helpful in safeguarding the survival and health of astronauts,but also provides valuable reference for future space exploration projects.

To investigate the status and epidemiological characteristics of respiratory pathogens infections in children with influenza-like illnesses (ILI) in Beijing Children′s Hospital from 2022 to 2023. A dual amplification technique was used to detect nucleic acids of seven common respiratory pathogens, including influenza A virus (Flu A), influenza B virus (Flu B), mycoplasma pneumoniae (MP), respiratory syncytial virus (RSV), parainfluenza virus (PIV), adenovirus (ADV), and Chlamydia pneumoniae (CP), in outpatient and inpatient children (aged 0-18 years) with influenza-like symptoms who sought medical care at Beijing Children′s Hospital, from January 2022 to March 2023. A total of 43 663 children were included in the study, of which 27 903 tested positive for respiratory pathogens with a total detection rate of 63.91%. Flu A had the highest detection rate of 69.93% (27 332/39 084), followed by MP about 13.22% (380/2 875). The total detection rate of RSV, PIV and ADV was 7.69% (131/1 704). Flu B had a detection rate of 0.16% (64/39 084). No CP was detected in this study. A total of 7 cases of dual infections were detected, with a detection rate of 0.41% (7/1 704). The Chi-square test was used to analyze the differences in detection rates of pathogens among different genders, age groups, and different seasons. Among the seven pathogens, only Flu A had statistically significant differences in gender ( χ2=16.712, P<0.001). The detection rates of Flu A and MP showed an increasing trend with age (both P trend<0.001), while the detection rates of RSV and PIV showed a decreasing trend with age (both P trend<0.001). Flu A had its epidemic peak in winter and spring, with detection rates of 61.30% (3 907/6 374) and 77.47% (23 207/29 958) respectively; MP and PIV had higher detection rates in autumn (25.14% and 7.64% respectively); RSV showed a relatively higher detection rate in winter (8.69%); Flu B and ADV had lower detection rates throughout the study period (0.16% and 1.17% respectively). In conclusion, children with ILI in 2022-2023 were mainly infected with a single respiratory pathogen, and occasionally dual pathogen infections were observed. Among them, the detection rate of Flu A was the highest, and only Flu A showed a gender difference in detection rate. As the age of the children patients increased, the detection rate of Flu A and MP showed an increasing trend, while RSV and PIV showed a decreasing trend. The prevalence of Flu A, Flu B, MP, PIV, and RSV were seasonal.

To investigate the status and epidemiological characteristics of respiratory pathogens infections in children with influenza-like illnesses (ILI) in Beijing Children′s Hospital from 2022 to 2023. A dual amplification technique was used to detect nucleic acids of seven common respiratory pathogens, including influenza A virus (Flu A), influenza B virus (Flu B), mycoplasma pneumoniae (MP), respiratory syncytial virus (RSV), parainfluenza virus (PIV), adenovirus (ADV), and Chlamydia pneumoniae (CP), in outpatient and inpatient children (aged 0-18 years) with influenza-like symptoms who sought medical care at Beijing Children′s Hospital, from January 2022 to March 2023. A total of 43 663 children were included in the study, of which 27 903 tested positive for respiratory pathogens with a total detection rate of 63.91%. Flu A had the highest detection rate of 69.93% (27 332/39 084), followed by MP about 13.22% (380/2 875). The total detection rate of RSV, PIV and ADV was 7.69% (131/1 704). Flu B had a detection rate of 0.16% (64/39 084). No CP was detected in this study. A total of 7 cases of dual infections were detected, with a detection rate of 0.41% (7/1 704). The Chi-square test was used to analyze the differences in detection rates of pathogens among different genders, age groups, and different seasons. Among the seven pathogens, only Flu A had statistically significant differences in gender ( χ2=16.712, P<0.001). The detection rates of Flu A and MP showed an increasing trend with age (both P trend<0.001), while the detection rates of RSV and PIV showed a decreasing trend with age (both P trend<0.001). Flu A had its epidemic peak in winter and spring, with detection rates of 61.30% (3 907/6 374) and 77.47% (23 207/29 958) respectively; MP and PIV had higher detection rates in autumn (25.14% and 7.64% respectively); RSV showed a relatively higher detection rate in winter (8.69%); Flu B and ADV had lower detection rates throughout the study period (0.16% and 1.17% respectively). In conclusion, children with ILI in 2022-2023 were mainly infected with a single respiratory pathogen, and occasionally dual pathogen infections were observed. Among them, the detection rate of Flu A was the highest, and only Flu A showed a gender difference in detection rate. As the age of the children patients increased, the detection rate of Flu A and MP showed an increasing trend, while RSV and PIV showed a decreasing trend. The prevalence of Flu A, Flu B, MP, PIV, and RSV were seasonal.

AIM:To investigate the protective effect of total flavonoids from Patrina villosa Juss(PJF)on the lung in an experimental rat model of acute lung injury(ALI),and to elucidate the potential mechanism.METHODS:The ALI rat model was established by instilling 5 mg/kg of lipopolysaccharide(LPS)into the airway.Sixty male SD rats were randomly divided into 4 groups:control,LPS,LPS+low-dose PJF(receiving 100 mg/kg PJF one hour before ALI modeling)and LPS+high-dose PJF(receiving 300 mg/kg PJF one hour before ALI modeling).Each group consisted of 15 animals.Lung tissues and bronchoalveolar lavage fluid(BALF)were collected from all groups 24 h after modeling.For as-sessment of lung tissue morphology,HE staining was performed.The wet/dry weight ratio of the lung tissue was deter-mined using the wet/dry weighing method.Evans blue staining was conducted to assess epithelial barrier permeability in lung tissues.ELISA was used to detect the levels of inflammatory factors tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β)and IL-6 in the BALF,as well as oxidative stress markers including superoxide dismutase(SOD),myeloperoxi-dase(MPO)and glutathione peroxidase(GSH-Px)activity,and malondialdehyde(MDA)content in the lung tissue.The expression levels of C/EBP homologous protein(CHOP),glucose-regulated protein 78(GRP78)and X-box binding pro-tein 1(XBP1)in the lung tissue were analyzed by Western blotting.RESULTS:Compared with control group,the rats in LPS group exhibited a blurred alveolar structure with a significant infiltration of inflammatory cells.The ALI score and the wet/dry weight ratio of the lung tissue were increased(P<0.05).Concurrently,the levels of IL-6,IL-1β and TNF-α in the BALF,along with MDA content and MPO activity in the lung tissue,were elevated(P<0.05).Additionally,the pro-tein levels of CHOP,GRP78 and XBP1 were up-regulated in the lung tissue(P<0.05),while the SOD and GSH-Px activi-ty was significantly decreased(P<0.05).Compared with LPS group,PJF intervention exerted beneficial effects on the lung tissue morphology with reduced ALI score and lower lung wet/dry weight ratio(P<0.05).Moreover,the levels of IL-6,IL-1β and TNF-α in BALF,as well as MDA content,MPO activity and the protein levels of CHOP,GRP78 and XBP1 in the lung tissue were all significantly decreased(P<0.05),while the SOD and GSH-Px activity was significantly in-creased(P<0.05).The efficacy in high-dose group exceeded that in low-dose group.CONCLUSION:The PJF have pro-tective effect on the lungs of rats with ALI,and its mechanism may be related to the inhibition of inflammation,oxidative stress and endoplasmic reticulum stress.

Objective To evaluate the safety and efficacy of CT-guided needle puncture biopsy of pancreatic lesions through gastrointestinal space.Methods Data of 96 patients with single pancreatic lesion who underwent CT-guided needle puncture biopsy through gastrointestinal space were retrospectively analyzed,and the success rate of puncture biopsy was recorded.The diagnostic efficacy of biopsy pathology was evaluated based on surgical pathology and follow-up results,and the relative complications were observed.Results Puncture biopsy was successfully completed in all 96 cases(96/96,100%).The sensitivity of biopsy pathology diagnosis was 97.75%(87/89),with specificity of 100%(7/7),positive predictive value of 100%(87/87),negative predictive value of 77.78%(7/9)and accuracy of 97.92%(94/96).Complications were noticed in 6 cases,including small amount of peripancreatic effusion in 3 cases,small amount of abdominal effusion in 1 case and intermittent fever in 2 cases,which were all improved.No other complication occurred.Conclusion CT-guided needle puncture biopsy of pancreatic lesions through gastrointestinal space was safe and effective.

Objective To observe the value of CT radiomics-based nomogram for predicting difference of Lauren types of gastric cancers between endoscopic biopsy and postoperative pathology.Methods Totally 126 patients with gastric cancer diagnosed by surgical pathology were retrospectively analyzed.The patients were divided into concordant group(n=77)and inconsistent group(n=49)according to the concordance between endoscopic biopsy and postoperative pathology results or not,also divided into training set and validation set at the ratio of 2∶1.Clinical predictors were screened,then a clinical prediction model was constructed.Radiomics features were extracted based on venous-phase CT images and screened using L1 regularization.Radiomics models were constructed using 3 machine learning(ML)algorithms,i.e.decision trees,random forests and logistic regression.The nomogram based on clinical and the best ML radiomics model was constructed,and the efficacy and clinical utility of the above models and nomogram for predicting inconsistency of Lauren types of gastric cancers between endoscopic biopsy and postoperative pathology were evaluated.Results Patients'age,platelet count,and arterial-phase CT values of tumors were all independent predictors of inconsistency between endoscopic biopsy and postoperative pathology of Lauren types of gastric cancer.CT radiomics model using random forests algorithm showed better predictive efficacy among 3 ML models,with the area under the curve(AUC)of 0.835 in training set and 0.724 in validation set,respectively.The AUC of clinical model,radiomics model and the nomogram in training set was 0.764,0.835 and 0.884,while was 0.760,0.724 and 0.841 in validation set,respectively.In both training set and validation set,the nomogram showed a good fit and considerable clinical utility.Conclusion CT radiomics-based nomogram had potential clinical application value for predicting inconsistency of Lauren types of gastric cancers between endoscopic biopsy and postoperative pathology.