Objective:To construct and validate a prognostic model of colon cancer based on differentially expressed anoikis-related genes, and to preliminarily investigate the relationship between anoikis-related genes and the tumor immune microenvironment of colon cancer.Methods:A total of 472 cancer tissues samples of patients with colon cancer, RNA sequencing data and clinical data of 41 normal tissues samples were downloaded from the Cancer Genome Atlas (TCGA) database between the establishment time and July in 2024. A total of 919 genes related to anoikis were screened out from GeneCards database, and the common genes were selected from the RNA sequencing gene datasets of colon cancer and normal colon tissues in the TCGA database, among which the differentially expressed anoikis-related genes of colon cancer and normal colon tissues were screened out based on P < 0.05. Furthermore, genes related to the prognosis of 446 colon cancer patients with prognostic data in the TCGA database were screened by using univariate Cox proportional risk model; the genes with P < 0.05 were further screened out and a colon cancer prognosis model was constructed by using LASSO-Cox proportional risk model. The risk score of the above 446 colon cancer patients in the TCGA database was calculated according to the prognostic model, and the patients were divided into high-risk (≥ median value) group and low-risk (< median value) group according to the median risk score, and the overall survival of the 2 groups was analyzed by using the Kaplan-Meier method. The risk score based on R software-based time ROC program package was used to predict 1-year, 2-year, 3-year overall survival therapeutic efficacy of colon cancer patients in the TCGA database. According to the median risk score of colon cancer patients in the TCGA database, the patients in the International Cancer Genome Consortium (ICGC) database were divided into high-risk group and low-risk group. Kaplan-Meier method and receiver operating characteristic (ROC) curve were used to verify the predictive effect of the prognostic model. The differentially expressed genes between low-risk group and high-risk group stratified by prognostic model risk score in the TCGA database were used to perform single sample gene set enrichment analysis (ssGESA) of immune cells and immune function by using R software related programs. The differences in risk scores of patients with different immunophenotypes (including inflammator response type, wound healing type, interferon gamma dominant type and lymphocyte depletion type) were compared; and correlation analysis of infiltration and risk scores between immune cells and stromal cells in tumor microenvironment was made. Based on the tumor immune function and rejection (TIDE) database, the relationship between the prognostic model risk score and programmed death receptor ligand 1 (PD-L1) gene expression level was analyzed. Results:Based on anoikis-related genes in the GeneCards database, 236 differentially expressed anoikis-related genes between colon cancer tissues and normal tissues were obtained from the TCGA database. LASSO Cox regression was applied to establish a prognostic model constructed by 7 differentially expressed anoikis-related genes in cancer tissues and normal colon tissues related to the prognosis of colon cancer. Risk score = 0.366×TIMP1-0.404×NAT1+0.207×LTB4R2+0.075×INHBB+0.140×CD36-0.109×MMP3+2.994×OFCC1. The median risk score of 446 colon cancer patients in the TCGA database was 1.754 719 545. Survival analysis showed that the overall survival of colon cancer patients in high-risk group of the TCGA database was worse than that in low-risk group ( P < 0.001); ROC curve analysis showed that the area under the curve for predicting 1-year, 2-year and 3-year overall survival of patients in the TCGA database based on the prognostic model risk score was 0.705, 0.731 and 0.723, respectively. Kaplan-Meier method analysis showed that in the ICGC database, the overall survival of colon cancer patients in high-risk group was worse than that in low-risk group ( P = 0.041); ROC curve analysis showed that the area under the curve of prognostic model risk score for predicting 1-year and 2-year overall survival of colon cancer patients in the ICGC database was 0.663 and 0.966, respectively. ssGESA analysis showed that macrophage level in high-risk group was higher than that in low-risk group, helper T (Th) 1 cell and Th2 cell levels in high-risk group were lower than those in low-risk group (all P < 0.01). In terms of immune function, the cell killing activity and histocompatibility complex Ⅰ level in high-risk group were lower than those in low-risk group, and type Ⅱ interferon response score in high-risk group was higher than that in low-risk group (all P < 0.05). The analysis of immunophenotype showed that the risk score of inflammatory response type was higher than that of wound healing type ( P < 0.05), and there was no statistically significant difference in risk score between the other 2 types (all P > 0.05). Risk score was positively correlated with stromal cell infiltration score ( R = 0.340, P < 0.001) and immune cell infiltration score ( R = 0.148, P < 0.05); the expression level of PD-L1 in high-risk group was higher than that in low-risk group in the TCGA database ( P = 0.048), and the expression level of PD-L1 was positively correlated with risk score ( R = 0.130, P = 0.009). Conclusions:A prognostic model of colon cancer constructed by anoikis-related genes can better predict the prognosis of colon cancer patients, and anoikis-related genes may play an important role in tumor immunity of colon cancer.

Objective:To construct and validate a prognostic model of colon cancer based on differentially expressed anoikis-related genes, and to preliminarily investigate the relationship between anoikis-related genes and the tumor immune microenvironment of colon cancer.Methods:A total of 472 cancer tissues samples of patients with colon cancer, RNA sequencing data and clinical data of 41 normal tissues samples were downloaded from the Cancer Genome Atlas (TCGA) database between the establishment time and July in 2024. A total of 919 genes related to anoikis were screened out from GeneCards database, and the common genes were selected from the RNA sequencing gene datasets of colon cancer and normal colon tissues in the TCGA database, among which the differentially expressed anoikis-related genes of colon cancer and normal colon tissues were screened out based on P < 0.05. Furthermore, genes related to the prognosis of 446 colon cancer patients with prognostic data in the TCGA database were screened by using univariate Cox proportional risk model; the genes with P < 0.05 were further screened out and a colon cancer prognosis model was constructed by using LASSO-Cox proportional risk model. The risk score of the above 446 colon cancer patients in the TCGA database was calculated according to the prognostic model, and the patients were divided into high-risk (≥ median value) group and low-risk (< median value) group according to the median risk score, and the overall survival of the 2 groups was analyzed by using the Kaplan-Meier method. The risk score based on R software-based time ROC program package was used to predict 1-year, 2-year, 3-year overall survival therapeutic efficacy of colon cancer patients in the TCGA database. According to the median risk score of colon cancer patients in the TCGA database, the patients in the International Cancer Genome Consortium (ICGC) database were divided into high-risk group and low-risk group. Kaplan-Meier method and receiver operating characteristic (ROC) curve were used to verify the predictive effect of the prognostic model. The differentially expressed genes between low-risk group and high-risk group stratified by prognostic model risk score in the TCGA database were used to perform single sample gene set enrichment analysis (ssGESA) of immune cells and immune function by using R software related programs. The differences in risk scores of patients with different immunophenotypes (including inflammator response type, wound healing type, interferon gamma dominant type and lymphocyte depletion type) were compared; and correlation analysis of infiltration and risk scores between immune cells and stromal cells in tumor microenvironment was made. Based on the tumor immune function and rejection (TIDE) database, the relationship between the prognostic model risk score and programmed death receptor ligand 1 (PD-L1) gene expression level was analyzed. Results:Based on anoikis-related genes in the GeneCards database, 236 differentially expressed anoikis-related genes between colon cancer tissues and normal tissues were obtained from the TCGA database. LASSO Cox regression was applied to establish a prognostic model constructed by 7 differentially expressed anoikis-related genes in cancer tissues and normal colon tissues related to the prognosis of colon cancer. Risk score = 0.366×TIMP1-0.404×NAT1+0.207×LTB4R2+0.075×INHBB+0.140×CD36-0.109×MMP3+2.994×OFCC1. The median risk score of 446 colon cancer patients in the TCGA database was 1.754 719 545. Survival analysis showed that the overall survival of colon cancer patients in high-risk group of the TCGA database was worse than that in low-risk group ( P < 0.001); ROC curve analysis showed that the area under the curve for predicting 1-year, 2-year and 3-year overall survival of patients in the TCGA database based on the prognostic model risk score was 0.705, 0.731 and 0.723, respectively. Kaplan-Meier method analysis showed that in the ICGC database, the overall survival of colon cancer patients in high-risk group was worse than that in low-risk group ( P = 0.041); ROC curve analysis showed that the area under the curve of prognostic model risk score for predicting 1-year and 2-year overall survival of colon cancer patients in the ICGC database was 0.663 and 0.966, respectively. ssGESA analysis showed that macrophage level in high-risk group was higher than that in low-risk group, helper T (Th) 1 cell and Th2 cell levels in high-risk group were lower than those in low-risk group (all P < 0.01). In terms of immune function, the cell killing activity and histocompatibility complex Ⅰ level in high-risk group were lower than those in low-risk group, and type Ⅱ interferon response score in high-risk group was higher than that in low-risk group (all P < 0.05). The analysis of immunophenotype showed that the risk score of inflammatory response type was higher than that of wound healing type ( P < 0.05), and there was no statistically significant difference in risk score between the other 2 types (all P > 0.05). Risk score was positively correlated with stromal cell infiltration score ( R = 0.340, P < 0.001) and immune cell infiltration score ( R = 0.148, P < 0.05); the expression level of PD-L1 in high-risk group was higher than that in low-risk group in the TCGA database ( P = 0.048), and the expression level of PD-L1 was positively correlated with risk score ( R = 0.130, P = 0.009). Conclusions:A prognostic model of colon cancer constructed by anoikis-related genes can better predict the prognosis of colon cancer patients, and anoikis-related genes may play an important role in tumor immunity of colon cancer.

Objective To investigate the effect of altered oxidative stress system on liver function after partial splenic embolization(PSE).Methods Twenty-nine patients with liver cirrhosis and hypersplenism who received PSE were selected.Peripheral venous blood was drawn from the patients before and at 1 week,1 month,and 3 months after PSE,and the indexes of oxidative stress system factors including malondialdehyde(MDA),superoxide dismutase(SOD),advanced oxidiation protein products(AOPPs),and gluta-thione peroxidase(GSH-Px)were detected,as well as liver function indexes.Results There were positive correlation between SOD activity and total bilirubin(TBil)and model for end-stage liver disease(MELD)scores at 1 week postoperatively(TBil:r=0.725,P＜0.05;MELD:r=0.764,P＜0.05).There was positive correlation between GSH-Px activity and alanine aminotransferase(ALT)at 1 month postoperatively(r=0.777,P＜0.05),however,the AOPPs was negatively correlated with ALT and aspartate aminotransferase(AST)at 3 months postoperatively(ALT:r--0.900,P＜0.05;AST:r=-0.957,P＜0.05).Conclusion PSE can improve the body oxidative stress system and enhance the body's antioxidant response,and then improve the liver function.

Objective:To develop a recombinant protein vaccine based on KPC-2, a drug resistance target in Klebsiella pneumoniae, and evaluate its immunogenicity, protective efficacy and mechanism in a mouse model of pneumonia. Methods:KPC-2 was expressed in Escherichia coli and purified using GST affinity chromatography. A recombinant protein vaccine was prepared with KPC-2 and used to immunize New Zealand rabbits through subcutaneous injection. Serum samples were isolated from cardiac blood and Protein G chromatography was used to purify polyclonal antibodies against KPC-2. Opsonophagocytic killing assay was used to assess the bactericidal activity of the polyclonal antibodies in vitro. Female BALB/c mice were immunized three times with the recombinant protein vaccine, and the titers of specific IgG antibodies in serum were measured by indirect ELISA. One week after the last vaccination, the mice were infected with Klebsiella pneumoniae strain SRT through tracheal intubation, and received a single intravenous dose of meropenem (0.1 mg) 1 h later. The protective efficacy of the KPC-2 recombinant protein vaccine was evaluated by comparing the survival rates, bacterial colonization and histopathological changes between vaccine group and adjuvant group as well as the survival rates between meropenem group and normal saline group. Moreover, the protective efficacy of polyclonal antibodies against KPC-2 was evaluated through passive immunization. Results:The level of specific IgG antibodies in serum was significantly higher in the vaccine group than in the adjuvant group ( t=4.325, P<0.05). The survival rate in the vaccine group was also higher than that of the adjuvant group [70% (7/10) vs 10% (1/10), P<0.05]. Furthermore, lung inflammation was less severe and bacterial burden was reduced in the vaccine group as compared with those of the control group ( t=3.127, P<0.05). Both active and passive vaccination strategies demonstrated strong protective efficacy against Klebsiella pneumoniae infection, and had a synergistic effect when used in combination with antibiotic therapy. The polyclonal antibodies against KPC-2 had bactericidal activity in vitro ( t=5.427, P<0.05). Conclusions:The prepared KPC-2 vaccine has better immunogenicity and protective efficacy. It can induce strong humoral immune responses. This study suggest that drug resistance target may be used as a candidate antigen for future vaccine development.

Objective:To automatically synthesize Al 18F-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid (NOTA)-fibroblast activation protein inhibitor (FAPI)-04, perform PET/CT imaging in vivo, and evaluate its diagnostic efficacy on tumors. Methods:Al 18F-NOTA-FAPI-04 was produced in All-in-one automatic synthesis module and its quality control was conducted by high performance liquid chromatography (HPLC) equipped with a radioactive detector. Al 18F-NOTA-FAPI-04 PET/CT imaging was performed in normal BALB/c mice ( n=3) and 4T1 breast cancer models ( n=3) to determine its biodistribution. Then Al 18F-NOTA-FAPI-04 and 18F-FDG PET/CT imaging were performed in a hepatocellular carcinoma patient (male, 51 years old). Results:The synthesis time of Al 18F-NOTA-FAPI-04 was about 35 min, and the radiochemical yield was (25.2±1.9)% (attenuation correction, n=3). The product was colorless transparent solution with pH value of 7.0-7.5, and the specific activity was (46.11±3.07) GBq/μmol (attenuation correction, n=3). The radiochemical purity was above 99.0% and was still above 98.0% at room temperature after 6 h. PET/CT imaging in mice showed that physiological uptake of Al 18F-NOTA-FAPI-04 was mainly in biliary system and bladder, and Al 18F-NOTA-FAPI-04 highly concentrated in tumor xenografts. PET/CT imaging in the patient showed that Al 18F-NOTA-FAPI-04 obtained high tumor background ratio (TBR) values of 4.1, 8.9, 5.4, 4.8, 2.2 in parasternal lymph nodes, anterior diaphragmatic lymph nodes, hilar lymph nodes, pancreaticoduodenal ligament lymph nodes, abdominal aortic lymph nodes, respectively, while TBR values were 1.0, 2.8, 5.0, 2.1, 1.1 by 18F-FDG. Conclusions:Al 18F-NOTA-FAPI-04 can be synthesized with short time, high radiochemical yield and good stability using All-in-one module. Al 18F-NOTA-FAPI-04 PET/CT imaging has high contrast and excellent diagnostic efficacy on tumors.

In vitro studies have established the prevalent theory that the mitochondrial kinase PINK1 protects neurodegeneration by removing damaged mitochondria in Parkinson's disease (PD). However, difficulty in detecting endogenous PINK1 protein in rodent brains and cell lines has prevented the rigorous investigation of the in vivo role of PINK1. Here we report that PINK1 kinase form is selectively expressed in the human and monkey brains. CRISPR/Cas9-mediated deficiency of PINK1 causes similar neurodegeneration in the brains of fetal and adult monkeys as well as cultured monkey neurons without affecting mitochondrial protein expression and morphology. Importantly, PINK1 mutations in the primate brain and human cells reduce protein phosphorylation that is important for neuronal function and survival. Our findings suggest that PINK1 kinase activity rather than its mitochondrial function is essential for the neuronal survival in the primate brains and that its kinase dysfunction could be involved in the pathogenesis of PD.

Objective:To investigate the evaluation value of one-stop whole-brain dynamic volume CT angiography and CT perfusion imaging (CTA-CTP) in the cynomolgus monkeys models of middle cerebral artery occlusion (MCAO).Methods:Ten adult cynomolgus monkeys were selected and examined by head and neck CTA-CTP and craniocerebral MRI to rule out craniocerebral space-occupying lesions or cerebrovascular malformation. Under guidance of digital substraction angiography (DSA), the right femoral artery was dissected and monkey autologous thrombosis was injected into the right middle cerebral artery (MCA) through microcatheter to prepare MCAO models. Whole brain DSA was performed intraoperatively to observe whether the model was successfully prepared, and head and neck CTA-CTP was performed 24 h and 7 d after modeling to determine the locations and brain blood flow changes of ischemic lesions. The monkeys were sacrificed 8 d after modeling, and the brain tissues were stained with 2,3,5-triphenyltetrazolium chloride (TTC).Results:Among the 10 cynomolgus monkeys, one was excluded because of preoperative cerebrovascular malformation, and one died of cerebral hernia caused by cerebral hemorrhage during the experiment. The remaining 8 MCAO models were successfully prepared. Intraoperative DSA orthography showed unclear M1 segment and distal branch of MCA. Brain CT scan 24 h and 7 d after modeling showed obvious cerebral ischemic lesions in the right MCA blood supply area, and the infarct extent 7 d after surgery was more obvious than that 24 h after surgery. CTA examination showed obvious blood flow interruption imaging in the in M1 segment of MCA on the right side, the distal vessels were not clearly displayed and the distal branches of the infarct side 7 d after surgery were obvious decreased as compared with those 24 h after surgery. CTP scan showed that the cerebral blood volume of the right cerebrum was obviously reduced as compared with that of the left cerebrum, which was consistent with the blood supply area of MCA; and the infarct cores and penumbra areas 7 d after surgery were obvious increased as compared with those 24 h after surgery. TTC staining showed that the ischemic lesions of the brain tissue on the slices were gray and involved multiple layers, and the range was roughly consistent with the infarction sites shown by DSA and CT imaging.Conclusion:One-stop whole brain dynamic volume CTA-CTP has good evaluation value in imaging findings in MCAO animal models.

Humans ; Male ; Middle Aged ; Paranasal Sinuses ; diagnostic imaging ; Sublingual Gland Neoplasms ; diagnosis

Objective:To establish the quality standard for Aidi B capsules.Methods:Astragalus membranaceus,Fallopia multi-flora and Gastrodiae elata were identified by TLC qualitatively.The content of gastrodin was determined by HPLC.The chromatographic separation was carried out on an Eclipse Plus C18column (250 mm ×4.6 mm,5 μm). The mobile phase consisted of acetonitrile-0.05% phosphoric acid solution (2:98) at a flow rate of 1.0 ml·min-1.The detection wavelength and the column temperature was 220 nm and 25℃,respectively.Results:The spots in TLC were clear without any interference.The linear range of gastrodin was 8.532-208.8 μg·ml-1(r=1.000 0),and the average recovery was 100.30%(RSD=0.37%,n=6).Conclusion:The method is simple with good repeatability,which can be used for the quality control of Aidi B capsules.