Objective To observe the efficacy of gray-scale ultrasound-based radiomics for differentiating peripheral pulmonary adenocarcinoma and squamous cell carcinoma.Methods Data of 88 patients with single peripheral lung adenocarcinoma and 58 patients with single peripheral lung squamous cell carcinoma proved pathologically with puncture biopsy and clearly visualized with lung ultrasound were retrospectively analyzed.The patients were divided into training set(n=103)and test set(n=43)at the ratio of 7:3.Based on gray-scale ultrasound of training set,radiomics features associated with differential diagnosis of peripheral lung adenocarcinoma and lung squamous cell carcinoma were extracted and screened.Using 4 different classifiers,including support vector machine(SVM),linear discriminant analysis(LDA),logistic regression(LR)and the least absolute shrinkage and selection operator combined with logistic regression(LASSO-LR),4 corresponding radiomics models were obtained,and the relative best models were selected according to their performances under 10-fold cross validation.The receiver operating characteristic curves were drawn,the areas under the curve(AUC)were calculated to evaluate the differentiating efficacy of each model,and DeLong test was used for the comparison.The differentiating accuracy of models were obtained under the best cutoff value with the maximum Youden index.Results The AUC of SVM,LDA,LR and LASSO-LR radiomics models for differentiating peripheral lung adenocarcinoma and lung squamous carcinoma in test set was 0.864,0.867,0.880 and 0.844,respectively,and no significant difference was found among 4 models(all P＞0.05).Under the best cutoff value of each model,the corresponding accuracy of SVM,LDA,LR and LASSO-LR radiomics models for differentiating peripheral lung adenocarcinoma and lung squamous cell carcinoma was 86.05％,83.72％,88.37％and 86.05％,respectively.Conclusion Radiomics models based on gray-scale ultrasound could be used to differentiate peripheral lung adenocarcinoma and lung squamous cell carcinoma.

Humans ; Artificial Intelligence ; Lung Neoplasms/pathology* ; Mediastinum/pathology* ; Lymph Nodes/pathology* ; Neoplasm Staging ; Lymph Node Excision

BACKGROUND: Preoperative diagnosis and differential diagnosis of small solid pulmonary nodules are very difficult. Computed tomography (CT), as a common method for lung cancer screening, is widely used in clinical practice. The aim of this study was to analyze the clinical data of patients with malignant pulmonary nodules and intrapulmonary lymph nodes in the clinical diagnosis and treatment of <1 cm solid pulmonary nodules, so as to provide reference for the differentiation of the two. METHODS: Patients with solid pulmonary nodules who underwent surgery from June 2017 to June 2020 were analyzed retrospectively. The clinical data of 145 nodules (lung adenocarcinoma 60, lung carcinoid 2, malignant mesothelioma 1, sarcomatoid carcinoma 1, lymph node 81) were collected and finally divided into two groups: lung adenocarcinoma and intrapulmonary lymph nodes, and their clinical data were statistically analyzed. According to the results of univariate analysis (χ² test, t test), the variables with statistical differences were selected and included in Logistic regression multivariate analysis. The predictive variables were determined and the receiver operating characteristic (ROC) curve was drawn to get the area under the curve (AUC) value of the area under the curve. RESULTS: Logistic regression analysis showed that the longest diameter, Max CT value, lobulation sign and spiculation sign were important indicators for distinguishing lung adenocarcinoma from intrapulmonary lymph nodes, and the risk ratios were 106.645 (95%CI: 3.828-2,971.220, P<0.01), 0.980 (95%CI: 0.969-0.991, P<0.01), 3.550 (95%CI: 1.299-9.701, P=0.01), 3.618 (95%CI: 1.288-10.163, P=0.02). According to the results of Logistic regression analysis, the prediction model is determined, the ROC curve is drawn, and the AUC value under the curve is calculated to be 0.877 (95%CI: 0.821-0.933, P<0.01). CONCLUSIONS For <1 cm solid pulmonary nodules, among many factors, the longest diameter, Max CT value, lobulation sign and spiculation sign are more important in distinguishing malignant pulmonary nodules from intrapulmonary lymph nodes.

Hepatitis C virus (HCV) is a leading cause of liver disease worldwide. Although several HCV protease/polymerase inhibitors were recently approved by U.S. FDA, the combination of antivirals targeting multiple processes of HCV lifecycle would optimize anti-HCV therapy and against potential drug-resistance. Viral entry is an essential target step for antiviral development, but FDA-approved HCV entry inhibitor remains exclusive. Here we identify serotonin 2A receptor (5-HTR) is a HCV entry factor amendable to therapeutic intervention by a chemical biology strategy. The silencing of 5-HTR and clinically available 5-HTR antagonist suppress cell culture-derived HCV (HCVcc) in different liver cells and primary human hepatocytes at late endocytosis process. The mechanism is related to regulate the correct plasma membrane localization of claudin 1 (CLDN1). Moreover, phenoxybenzamine (PBZ), an FDA-approved 5-HTR antagonist, inhibits all major HCV genotypes in vitro and displays synergy in combination with clinical used anti-HCV drugs. The impact of PBZ on HCV genotype 2a is documented in immune-competent humanized transgenic mice. Our results not only expand the understanding of HCV entry, but also present a promising target for the invention of HCV entry inhibitor.

Objective To investigate the relationship between prognostic nutritional index (PNI) and neutropenia after adjuvant chemotherapy in patients with colorectal cancer. Methods The clinical data of 44 patients with colorectal cancer performed adjuvant chemotherapy in Shunyi District Hospital from December 2014 to January 2018 were retrospectively analyzed, and the patients were divided into group A (grade 0-2 neutropenia) and group B (grade3-4 neutropenia) according to the degree of neutropenia. The serum albumin, peripheral lymphocyte counts, and neutrophil counts within 1 week before chemotherapy were collected, and the PNI was calculated. The chi-square test and rank sum test were used to compare the clinical data, body mass index (BMI), baseline neutrophil count, and PNI between the two groups. Logistic regression analysis was used to analyze the risk factors for neutropenia after chemotherapy. Results The baseline median neutrophil counts and median PNI in group A were 3.17×109/L [(1.38-7.79)×109/L] and 50.40 (37.40-57.05), and in group B were 2.54 ×109/L [(1.22-3.87) ×109/L] and 45.50 (37.95-50.95). The baseline neutrophil counts and PNI in group A were significantly higher than those in group B, the differences between the two groups were statistically significant (Z= -2.085, P= 0.037; Z= -2.615, P= 0.009). Logistic regression analysis showed that PNI was an independent risk factor for neutropenia after chemotherapy (HR=0.803, 95％CI 0.646-0.998, P= 0.048). Conclusion PNI has a certain role in predicting neutropenia after adjuvant chemotherapy in patients with colorectal cancer.

Objective To evaluate the influence of different load carriages during military walking on the gait of lower limbs. Methods In a randomized cross-over design, 15 healthy young males were asked to perform self-paced walking with a normal uniform under a load carriage of 0 kg, 7.5 kg, 27 kg, and 50 kg for four times. The kinematics parameters of the pelvis, knee, and ankle were evaluated by the Vicon motion capture system and AMTI force plates. Results With increasing load carriage, the stride frequency relatively improved, whereas the stride reduced and the speed was maintained on the whole. The peak left/right hip flexion and extension angle and peak knee adduction angle were obviously affected by the load carriage, whereas the movement magnitudes could be maintained. The peak varus angle of the left ankle and peak valgus angle of the right ankle were also affected. The peak force and moment of the left/right knee and ankle increased. Conclusions With increasing load carriage, overall, the movement magnitudes of lower limb joints were maintained under the given loads, whereas the lower limb loads were increased, which could increase the potential risk of lower limb injuries.

The secondary structures of hepatitis C virus (HCV) RNA and the cellular proteins that bind to them are important for modulating both translation and RNA replication. However, the sets of RNA-binding proteins involved in the regulation of HCV translation, replication and encapsidation remain unknown. Here, we identified RNA binding motif protein 24 (RBM24) as a host factor participated in HCV translation and replication. Knockdown of RBM24 reduced HCV propagation in Huh7.5.1 cells. An enhanced translation and delayed RNA synthesis during the early phase of infection was observed in RBM24 silencing cells. However, both overexpression of RBM24 and recombinant human RBM24 protein suppressed HCV IRES-mediated translation. Further analysis revealed that the assembly of the 80S ribosome on the HCV IRES was interrupted by RBM24 protein through binding to the 5'-UTR. RBM24 could also interact with HCV Core and enhance the interaction of Core and 5'-UTR, which suppresses the expression of HCV. Moreover, RBM24 enhanced the interaction between the 5'- and 3'-UTRs in the HCV genome, which probably explained its requirement in HCV genome replication. Therefore, RBM24 is a novel host factor involved in HCV replication and may function at the switch from translation to replication.
Cells, Cultured ; Hepacivirus ; genetics ; growth & development ; metabolism ; Humans ; Protein Biosynthesis ; RNA-Binding Proteins ; metabolism ; Virus Replication ; genetics

Objective To explore the MSCT features of airway-invasive pulmonary aspergillosis.Methods MSCT features of 27 cases of airway-invasive pulmonary aspergillosis confirmed by pathology or clinical experience were analyzed retrospectively.Results The lesions in 27 cases were distributed along the blood vessel and bronchus and located mainly in the upper and middle lung field in 19 cases.Multiple centrilobular nodules and tree-in-bud sign were found in 27 cases and bronchial wall thickening and patchy opacities around the bronchi were in 25 cases.Bronchiectasis was seen in 17 cases,and cavity-like change and inter-cavity separation were in 15 cases.In 22 cases of follow-up,the lesion progressed within 1 week after diagnosised and treatmented in 20 cases and recurred in slow recovery stage in 5 cases.Conclusion MSCT findings of airway-invasive pulmonary aspergillosis are various which may rapidly progress within a short time.MSCT palys an important role in the evolution and follow-up of airway-invasive pulmonary aspergillosis.

Objective To analyze the relationship between CT image characteristics and the pathological subtypes of small lung adenocarcinoma (≤3 cm) with ground-glass opacity(GGO).Methods Two hundred and three cases of small lung adenocarcinoma proved by pathology were collected.Use the 2015 World Health Organization(WHO) classification of lung cancers as pathology standard.The relationship between CT findings and pathologic classification were analyzed statistically.Results There was a positive correlation between CT type and pathological type (rs =0.756).The size of atypical adenomatous hyperplasia(AAH),adenocarcinoma in situ(AIS) and minimally invasive adenocarcinoma(MIA) lesions were smaller than invasive adenocarcinoma(IAC).AAH lesions were smaller than MIA(P＜0.008 3).However,there were no significant size differences in AAH and AIS lesions,or in AIS and MIA lesions (P＞0.008 3).The critical point of non-or-little-invasive (AAH,AIS and MIA) and IAC was 15.35 mm (sensitivity 80.8％,specificity 90.4 ％).Differences in lobulation,air bronchogram,vacuole sign,pleural indentation and vascular convergence among pathological types were statistically significant (P ＜0.05).Differences in shape,speculation and cavity among groups were not significant (P ＞0.05).Conclusion The higher CT type,lower GGO content and bigger lesion size are all associated with increasing tumor degree of malignancy.The size of IAC lesion is usually greater than 15.35 mm.Lobulation,air bronchogram,vacuole sign,pleural indentation and vascular convergence can help to diagnose IAC.