Objective:A nomogram model for predicting double positivity of microvascular invasion (MVI) and vascular endothelial-to-mesenchymal transition (VETC) in patients with hepatocellular carcinoma (HCC) was constructed and its predictive performance was evaluated.Methods:A retrospective analysis was conducted on 326 HCC patients who were treated at the Third People's Hospital of Nantong and the First Affiliated Hospital of Soochow University from January 2013 to June 2023, including 240 males and 86 females, with an average age of (58.7±9.0) years. The 326 patients were randomly divided into a training set ( n=228) and a test set ( n=98) at a ratio of 7: 3 using the random number table method. The training set was divided into a double-positive group ( n=54) and a control group ( n=174) based on whether the HCC patients were double positive for MVI and VETC. Univariate and multivariate logistic regression analyses were performed to identify the influencing factors of double positivity of microvascular invasion in HCC patients, and a nomogram for predicting double positivity of microvascular invasion patterns was constructed based on the multivariate. The predictive performance and clinical net benefit of the nomogram were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results:There were statistically significant differences in alpha-fetoprotein, gamma-glutamyl transferase, and phosphatidylinositol proteoglycan between the two groups (all P<0.05). Multivariate logistic regression analysis showed that LI-RADS category ( OR=8.58, 95% CI: 1.87-39.38), intratumoral hemorrhage ( OR=2.16, 95% CI: 1.14-4.07), and intratumoral arteries ( OR=2.59, 95% CI: 1.19-5.64) were all influencing factors of double positivity of microvascular invasion patterns in HCC patients (all P<0.05). Based on the multivariate results, a nomogram was constructed. In the training set, the area under the ROC curve for predicting double positivity of microvascular invasion patterns in HCC patients was 0.769 (95% CI: 0.720-0.814). In the test set, the area under the ROC curve for predicting double positivity of microvascular invasion patterns in HCC patients was 0.756 (95% CI: 0.622-0.850). The calibration curve showed a good fit between the predicted model and the ideal curve. Decision curve analysis showed that the clinical applicability was good when the threshold was 0.01-0.80 in the training set and 0.01-0.65 in the test set. Conclusion:The nomogram model based on LI-RADS category, intratumoral hemorrhage, and intratumoral arteries can effectively predict double positivity of microvascular invasion patterns in HCC patients and has good clinical applicability.

Actinomycetes are important producers of high-value natural products, and the engineering of actinomycetes to enhance the biosynthesis of target natural products has long been a hot research topic in the scientific community. However, non-rational engineering methods suffer from low beneficial mutation rates, which limit the efficiency of mutant screening. The integration of high-throughput screening (HTS) technologies can effectively enhance the screening efficiency of elite mutants and significantly shorten the cycle of actinomycete strain engineering. This review comprehensively discusses various HTS technologies suitable for the engineering of actinomycete strains and compares them in terms of application scenarios, advantages, and disadvantages. HTS technologies include microplate-based screening, antimicrobial activity screening, antibiotic resistance screening, fluorescence-activated cell sorting (FACS), and fluorescence-activated droplet sorting (FADS). Additionally, this review summarizes the applications of these technologies in assisting actinomycete strain engineering and enhancing the yields of target compounds. The development and application of HTS technologies have not only facilitated the exploration of natural product resources in actinomycetes but also provided strong support for the rapid and efficient construction of high-performance engineered actinomycete strains.
Actinobacteria/metabolism* ; High-Throughput Screening Assays/methods* ; Genetic Engineering/methods* ; Biological Products/metabolism* ; Flow Cytometry ; Metabolic Engineering/methods*

Objective:A nomogram model for predicting double positivity of microvascular invasion (MVI) and vascular endothelial-to-mesenchymal transition (VETC) in patients with hepatocellular carcinoma (HCC) was constructed and its predictive performance was evaluated.Methods:A retrospective analysis was conducted on 326 HCC patients who were treated at the Third People's Hospital of Nantong and the First Affiliated Hospital of Soochow University from January 2013 to June 2023, including 240 males and 86 females, with an average age of (58.7±9.0) years. The 326 patients were randomly divided into a training set ( n=228) and a test set ( n=98) at a ratio of 7: 3 using the random number table method. The training set was divided into a double-positive group ( n=54) and a control group ( n=174) based on whether the HCC patients were double positive for MVI and VETC. Univariate and multivariate logistic regression analyses were performed to identify the influencing factors of double positivity of microvascular invasion in HCC patients, and a nomogram for predicting double positivity of microvascular invasion patterns was constructed based on the multivariate. The predictive performance and clinical net benefit of the nomogram were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results:There were statistically significant differences in alpha-fetoprotein, gamma-glutamyl transferase, and phosphatidylinositol proteoglycan between the two groups (all P<0.05). Multivariate logistic regression analysis showed that LI-RADS category ( OR=8.58, 95% CI: 1.87-39.38), intratumoral hemorrhage ( OR=2.16, 95% CI: 1.14-4.07), and intratumoral arteries ( OR=2.59, 95% CI: 1.19-5.64) were all influencing factors of double positivity of microvascular invasion patterns in HCC patients (all P<0.05). Based on the multivariate results, a nomogram was constructed. In the training set, the area under the ROC curve for predicting double positivity of microvascular invasion patterns in HCC patients was 0.769 (95% CI: 0.720-0.814). In the test set, the area under the ROC curve for predicting double positivity of microvascular invasion patterns in HCC patients was 0.756 (95% CI: 0.622-0.850). The calibration curve showed a good fit between the predicted model and the ideal curve. Decision curve analysis showed that the clinical applicability was good when the threshold was 0.01-0.80 in the training set and 0.01-0.65 in the test set. Conclusion:The nomogram model based on LI-RADS category, intratumoral hemorrhage, and intratumoral arteries can effectively predict double positivity of microvascular invasion patterns in HCC patients and has good clinical applicability.

Objective To quantify the mean fat fraction(FF)values of hip abductor muscles using the MR least squares estimation method of iterative water-fat separation(IDEAL-IQ)technique and to analyze the correlation between muscle fat infiltration and cartilage damage in hip osteoarthritis(HOA),age and gender.Methods Ninety-five patients with clinical symptoms of hip joint(HOA group)and volunteers(control group)underwent MRI conventional sequence and IDEAL-IQ sequence scans of the hip joint were selected.Hip cartilage damage was graded based on conventional MRI sequences(mild HOA group and severe HOA group),and the FF values of hip abductor muscles were measured for each group.ANOVA analysis and Pearson correlation tests were used to compare the differences between the groups and correlation analyses were performed.Results The FF values of hip abductor muscles in the mild HOA group and severe HOA group were significantly higher than those in the control group,with statistically significant differences(P＜0.05).There were correlations between the FF values of hip abductor muscles and the degree of HOA cartilage damage,age and gender(r=0.677,0.566,0.311).Conclusion The IDEAL-IQ technique can be used for quantitative research on muscle fat infiltration,and fat infiltration in hip abductor muscles is an important risk factor for HOA cartilage damage.

Objective To quantify the mean fat fraction(FF)values of hip abductor muscles using the MR least squares estimation method of iterative water-fat separation(IDEAL-IQ)technique and to analyze the correlation between muscle fat infiltration and cartilage damage in hip osteoarthritis(HOA),age and gender.Methods Ninety-five patients with clinical symptoms of hip joint(HOA group)and volunteers(control group)underwent MRI conventional sequence and IDEAL-IQ sequence scans of the hip joint were selected.Hip cartilage damage was graded based on conventional MRI sequences(mild HOA group and severe HOA group),and the FF values of hip abductor muscles were measured for each group.ANOVA analysis and Pearson correlation tests were used to compare the differences between the groups and correlation analyses were performed.Results The FF values of hip abductor muscles in the mild HOA group and severe HOA group were significantly higher than those in the control group,with statistically significant differences(P＜0.05).There were correlations between the FF values of hip abductor muscles and the degree of HOA cartilage damage,age and gender(r=0.677,0.566,0.311).Conclusion The IDEAL-IQ technique can be used for quantitative research on muscle fat infiltration,and fat infiltration in hip abductor muscles is an important risk factor for HOA cartilage damage.

Objective:To investigate the cognitive function and its influencing factors among residents in Qingdao city.Methods:The 5 311 research subjects over 65 years old were selected from Qingdao by simple random sampling and stratified sampling. All subjects were investigated by AD8 dementia early screening questionnaire and community screening instrument dementia (CSI-D) to evaluate the prevalence of cognitive decline in this study.The score of AD8 dementia early screening questionnaire ≥2 points or the score of CSI-D ≤7 points was considered to be cognitive decline. Mann-Whitney U test, Chi-square test, Fisher exact probability method, univariate and multivariate Logistic regression analysis and Bootstrap verification were performed using SPSS 26.0 software. Results:Among 5 311 subjects, 1 899 subjects had normal cognitive function (35.76%) and 3 412 subjects had cognitive decline (64.24%). The age of the cognitive decline group was significantly higher than that of the normal group ( P<0.01). There were significant differences in gender, educational level, rural residents, marital status, chronic medical history, hypertension, rheumatoid arthritis, cerebrovascular disease, intervertebral disc disease, ischemic heart disease, monthly household income and alcohol consumption between the two groups (all P<0.05). Univariate Logistic regression analysis showed that female ( β=0.313, OR=1.367, 95% CI=1.221-1.530), age ( β=0.052, OR=1.053, 95% CI=1.043-1.063), rural residents ( β=0.850, OR=2.340, 95% CI=2.042-2.682), widowed ( β=0.557, OR=1.745, 95% CI=1.500-2.029), chronic medical history ( β=0.290, OR=1.336, 95% CI=1.191-1.498), hypertension ( β=0.134, OR=1.143, 95% CI=1.020-1.281), rheumatoid arthritis ( β=0.458, OR=1.581, 95% CI=1.222-2.046), cerebrovascular disease ( β=0.584, OR=1.794, 95% CI=1.352-2.380), intervertebral disc disease ( β=0.578, OR=1.782, 95% CI=1.370-2.319), ischemic heart disease ( β=0.501, OR=1.651, 95% CI=1.272-2.143) were the risk factors for cognitive decline. Higher education level, higher monthly household income and abstinence ( β=-0.244, OR=0.783, 95% CI=0.619-0.992) were protective factors for cognitive decline. Multivariate logistic regression analysis showed that age ( β=0.035, OR=1.036, 95% CI=1.025-1.047), rural residents ( β=0.215, OR=1.239, 95% CI=1.047-1.468), chronic medical history ( β=0.191, OR=1.210, 95% CI=1.067-1.372), cerebrovascular disease ( β=0.480, OR=1.616, 95% CI=1.195-2.187), intervertebral disc disease ( β=0.456, OR=1.578, 95% CI=1.190-2.094) were risk factors for Alzheimer's disease. Higher education level and higher monthly household income were protective factors for Alzheimer's disease. Conclusion:The elderly with chronic diseases, low income and low education level may be at the high risk of cognitive function decline, which should be paid attention to in early screening and intervention.

Objective To investigate the value of the liver imaging reporting and data system v2018(LI-RADS v2018)and other imaging features in predicting preoperative risk and postoperative prognosis of isolated macrotrabecular-massive hepatocellular carcinoma(MTM-HCC).Methods Patients with isolated hepatocellular carcinoma(HCC)confirmed by pathology after preoperative MRI examination were selected,and all patients were randomly assigned to a training group(n=146)and a validation group(n=62)in a 7∶3 ratio.Least absolute shrinkage and selection operator(LASSO)regression and multivariate logistic regression were used to screen independent prognostic factors of MTM-HCC and construct a nomogram.Patients were stratified into high-risk and low-risk subgroups based on the nomogram scores.Kaplan-Meier survival curves and Log-rank tests were used to compare the recurrence-free survival(RFS)among different subgroups of patients.Results Multivariate logistic regression analysis revealed that intratumoral vessels[odds ratio(OR)=3.480,95％confidence interval(CI)1.110-10.912,P=0.032],arterial phase hypovascular component ≥20％(OR=4.615,95％CI 1.728-12.321,P=0.002),and corona enhancement(OR=4.814,95％CI 1.816-12.766,P=0.002)were independent predictors of MTM-HCC.The nomogram constructed based on these indicators demonstrated area under the curve(AUC)of the receiver operating characteristic(ROC)curve was 0.834 and 0.764 for predicting MTM-HCC in the training and validation groups,respectively.The RFS predicted by the nomogram was significantly different between the high-risk and low-risk subgroups and both the pathologically confirmed MTM-HCC positive and negative groups(P＜0.05).Conclusion Intratumoral vessels,arterial phase hypovascular component ≥20％,and corona enhancement are independent predictors of MTM-HCC.The constructed nomogram based on these predictors demonstrates good diagnostic efficacy for MTM-HCC and has significant prognostic value for patients'RFS.

Objective:To analyze the hepatobiliary phase (HBP) image manifestation classification and pathological features of nodules in nodules accompanied by hepatocellular carcinoma (NIN-HCC).Methods:Twenty-five cases cases (27 lesions) with cirrhosis who were confirmed as NIN-HCC by surgical pathology and underwent gadoxetate disodium-enhanced MRI examination before surgery at Nantong Third Hospital affiliated with Nantong University from July 2015 to November 2022 were retrospectively enrolled. The size, signal intensity, enhancement pattern, and pathological features of internal and external nodules were analyzed in NIN-HCC. The lesions score were recorded according to the 2018 version of the Liver Imaging Reporting and Data Systems (LI-RADS) classification criteria. NIN-HCCs were grouped and typed according to the different HBP signal intensities of the inner and outer nodules. The independent-samples t-test, Mann-Whitney U test or Fisher's exact probability method were used to compare the differences in imaging features and LI-RADS scores between the groups. The Spearman correlation coefficient was used to evaluate the correlation between the pathological differentiation degree of internal and external nodules and the HBP signal intensity. The Kaplan-Meier curve was used to analyze recurrence-free survival (RFS) following NIN-HCC surgery. Results:The internal nodules of the 27 NIN-HCCs showed altered hypervascularity with a maximum diameter of (13.2±5.5) mm during the arterial phase. 51.9% (14/27) and 48.1% (13/27) showed "fast in and fast out" and fast in and slow out"enhancement patterns. The external nodules showed altered hypovascularity with a maximum diameter of (25.7±7.3) mm, and 13 (48.1%) of them were accompanied to manifest during the arterial phase. NIN-HCC was divided into two groups according to the signal intensity of HBP of the outer nodules with the background liver parenchyma signal intensity as a reference: the hyposignal group ( n=17, 63.0%) and the isosignal group ( n=10, 37.0%). The hyposignal group and the isosignal group were divided into A~C type and D~F type, a total of six types, according to the hypo, iso, and hyper signals of the inner nodules and the signal intensity of the outer nodules as a reference. Within the hyposignal group, 7.4% (2/27) of the inner nodules showed hyposignal (type A), 37.0% (10/27) showed isosignal (type B), and 18.5% (5/27) showed hypersignal (type C). Within the isosignal group, 29.6% (8/27) of the inner nodules showed hyposignal (type D), 7.4% (2/27) showed isosignal (type E), and there was no hypersignal (type F). 40.7% (11/27) of the lesions were LR-4 in LI-RADS score, and 59.3% (16/27) were LR-5. There was no statistically significant difference ( P>0.05) in the maximum diameter, enhancement pattern, and LI-RADS score of internal and external nodules between the hypo and iso signal group. Histologically, NIN-HCC showed fine trabecular/pseudoglandular duct type without microvascular invasion, among which the inner nodules were mainly moderately differentiated HCC, and the outer nodules were mainly well-differentiated HCC. The degree of differentiation between the inner and outer nodules and the HBP signal intensity had no statistically significant difference ( r=0.290, P=0.143; r=0.079, P=0.697). The median RFS follow-up time after NIN-HCC radical resection was 31.7 months, and the cumulative RFS rates at 1, 3, and 5 years were 96.0%, 76.0%, and 64.0%, respectively. Conclusions:NIN-HCC can serve as a morphological marker for early-stage diagnosis of multi-step cancer evolution in HCC, with certain imaging and pathological features. HBP imaging classification is helpful to enhance the diagnostic recognition of this disease.

Objective To evaluate the clinical efficacy of kissing-stent implantation in the treatment of chronic iliac-vena cava occlusion.Methods The clinical data of 22 patients with chronic iliac-vena cava occlusion,who received kissing-stent implantation,were retrospectively analyzed.The surgical success rate and the procedure-related complications were recorded,the postoperative 3-,6-and 12-month stent patency rates were calculated,and the postoperative 6-month Villalta score was compared with its preoperative value.Results The technical success rate of kissing-stent implantation was 100％.No procedure-related surgical complications occurred.The postoperative 3-,6-and 12-month stent patency rates were 95.5％,90.9％and 86.1％respectively.The postoperative 6-month Villalta score was(12.14±2.80)points,which was remarkably lower than preoperative(20.91±3.16)points,the difference was statistically significant(P＜0.05).Conclusion The implantation of kissing-stent can successfully reconstruct iliac-vena cava with satisfactory short-term efficacy for chronic iliac-vena cava occlusion.