ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective: To identify the maximum tolerated dose (MTD) of docetaxel combined with a fixed dose of cisplatin (75 mg/m 2 ) delivered as hyperthermic intraperitoneal chemotherapy (HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal interval design was used.Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 increments until the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The doselimiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC was delivered immediately following debulking surgery at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among the patients who received a dose of docetaxel ≤65 mg/m2 , no DLT was reported. DLTs were observed in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in three patients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade 3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated with docetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of 25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be used safely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC (43°C, 90 minutes) following debulking surgery.

Objective To analyze the spatial-temporal distribution characteristics and influencing factors of the in-cidence of tuberculosis(TB)in Chinese mainland,and provide scientific basis for relevant departments to formulate policies and guidelines.Methods TB incidence in Chinese mainland from 2017 to 2022 was as the research object,and data of relevant influencing factors were collected.The spatial autocorrelation analysis method was adopted to establish a spatial lag model to explore the spatial-temporal distribution characteristics of TB incidence,and the im-portant influencing factors of TB incidence were screened.Results From 2017 to 2022,TB incidence reported in 31 provinces and cities in Chinese mainland were 60.53/100 000,59.27/100 000,55.55/100 000,47.76/100 000,45.37/100 000 and 39.76/100 000,respectively,showing a yearly downward trend.Global Moran's Ⅰ analysis showed that TB incidence presented spatial-temporal aggregation.The spatial distribution map and the local indica-tors of spatial association(LISA)aggregation diagram analysis results for the incidence of reported TB showed a de-creasing trend from west to east in TB incidence.In the spatial lag model,the coefficients of 6 insignificant factors shrank to 0,and 6 important factors were screened out:gross domestic product(GDP)per capita(coefficient-0.259),urban unemployment rate(coefficient-0.198),annual sunshine duration(coefficient-0.332),annual mean rela-tive humidity(coefficient-0.433),annual mean NO2 concentration(coefficient-0.263),and annual mean PM10 concentration(coefficient-0.336).Conclusion From 2017 to 2022,TB incidences in Chinese mainland declined year by year,and presented spatial difference and spatial aggregation:high in the east,low in the west,and stable in the middle area.Social economy,climate and air pollution have strong effects on the incidence of TB.Relevant departments should pay more attention to the prevention and treatment of TB in the western region and take targeted preventive measures.

The blood-brain barrier (BBB) plays a crucial role in maintaining the homeostasis of the brain's internal environment, which poses challenges to the treatment of central nervous system diseases. Drug carriers can aid in the delivery of therapeutic agents across the BBB to exert their pharmacological effects. The article reviewed the pathways for drug delivery across the BBB, the intracerebral fate and the classification of drug carriers and focuses on the functions and characteristics of liposomes, exosomes, apoptotic bodies, cell-penetrating peptides, and cell-targeting peptides. The review will provide an outlook on the future and challenge of research in the field of drug delivery across the BBB.

Objective: To identify the maximum tolerated dose (MTD) of docetaxel combined with a fixed dose of cisplatin (75 mg/m 2 ) delivered as hyperthermic intraperitoneal chemotherapy (HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal interval design was used.Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 increments until the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The doselimiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC was delivered immediately following debulking surgery at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among the patients who received a dose of docetaxel ≤65 mg/m2 , no DLT was reported. DLTs were observed in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in three patients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade 3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated with docetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of 25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be used safely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC (43°C, 90 minutes) following debulking surgery.

Objective: To identify the maximum tolerated dose (MTD) of docetaxel combined with a fixed dose of cisplatin (75 mg/m 2 ) delivered as hyperthermic intraperitoneal chemotherapy (HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal interval design was used.Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 increments until the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The doselimiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC was delivered immediately following debulking surgery at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among the patients who received a dose of docetaxel ≤65 mg/m2 , no DLT was reported. DLTs were observed in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in three patients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade 3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated with docetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of 25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be used safely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC (43°C, 90 minutes) following debulking surgery.

Pancreatic cancer is a highly malignant tumor with a poor prognosis. It is very hard to treat pancreatic cancers for their high heterogeneity, complex tumor microenvironment, and drug resistance. Currently, gemcitabine plus nab-paclitaxel, capecitabine and FOLFIRINOX are standard chemotherapy for resectable or advanced metastatic pancreatic cancer. Considering the limited efficacy and toxic side effects of chemotherapy, targeted and immune drugs have gradually attracted attention and made some progress. In this article, we systematically reviewed the chemotherapeutic drugs, targets and related targeted drugs, and immunotherapy drugs for pancreatic cancer.

Objectives: . Reactive oxygen species in the stria vascularis (SV) of the cochlea may be involved in the pathogenesis of sensorineural hearing loss. However, the effects of oxidative stress on SV endothelial cells (SV-ECs) remain largely unknown, and no feasible in vitro cell culture model exists for the functional study of SV-ECs. Methods: . We isolated primary SV-ECs from the SV of neonatal mice. The apoptosis-reducing effects of fibronectin in SV-ECs cultured with serum-free medium were determined using β-galactosidase staining and flow cytometry. SV-ECs incubated in serum-free medium were treated with various H2O2 concentrations to evaluate the effects of H2O2 on their viability. The secretome of SV-ECs treated with or without H2O2 (100 μM or 500 μM) was analyzed using high-resolution mass spectrometry. The function of the SV-EC secretome was evaluated by a macrophage assay. Results: . We successfully isolated and characterized the SV-ECs. Treatment with H2O2 at concentrations up to 500 μM for 2 hours and further incubation with serum-free medium in plates precoated with fibronectin showed no significant effect on apoptosis. Compared to the control SV-ECs, the amount of differential proteins in the secretome of SV-ECs stimulated with 500 μM H2O2 was much higher than in those treated with 100 μM H2O2. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyses suggested that the proteins differentially expressed in SV-ECs treated with 500 μM H2O2 were involved in the regulation of multiple signaling pathways and cellular processes. The secretome of H2O2-stimulated SV-ECs exhibited significant pro-inflammatory effects on macrophages. Conclusion . We successfully established an in vitro serum-free culture method, identified the differential proteins released by oxidative stress-induced ECs and their functions, and revealed the pro-inflammatory effects of the secretome of H2O2-stimulated SV-ECs. Therefore, SV-ECs might elicit immunoregulatory effects on bystander cells in the microenvironment of oxidative stress-induced cochlea, especially cochlear macrophages.

Humans ; East Asian People ; Psoriasis/drug therapy* ; Antibodies, Monoclonal, Humanized/therapeutic use* ; Treatment Outcome ; Severity of Illness Index

Atherosclerosis(AS) is the key pathological basis of coronary heart disease(CHD), and lipid infiltration is a classical theory to explain the pathological mechanism of AS. The theory highlights that the occurrence and development of AS are closely related to abnormal lipid metabolism, with the essence of the pathological reaction caused by the invasion of lipids into arterial intima from plasma. Phlegm and blood stasis are physiologically homologous and subject to pathological co-existence. Phlegm-blood stasis correlation is the basic theory to explain the pathogenesis characteristics of CHD and has important guiding significance for revealing the mecha-nism of lipid infiltration of CHD. Phlegm is the pathological product of abnormal metabolism of Qi, blood, and body fluid, and a gene-ral summary of a series of abnormally expressed lipid substances. Among them, turbid phlegm invades the heart vessels, gradually accumulates, and condenses to achieve the qualitative change from "invisible pathogen" to "tangible pathogen", which corresponds to the mechanism of lipid migration and deposition in the intima of blood vessels, and is the starting factor of the disease. Blood stasis is the continuous development of phlegm, and it is a result of pathological states such as decreased blood fluidity, increased blood coagulation, and abnormal rheology. The fact that blood stasis caused by phlegm accords with the pathological process of "lipid abnormality-circulatory disturbance" and is the central link of the disease. Phlegm and blood stasis aggravate each other and lead to indissoluble cementation. The phlegm-blood stasis combination serves as common pathogen to trigger the disease, which is the inevitable outcome of the disease. Based on the phlegm-blood stasis correlation theory, the simultaneous treatment of phlegm and blood stasis is established. It is found that this therapy can simultaneously regulate blood lipid, reduce blood viscosity, and improve blood circulation, which can fundamentally cut off the biological material basis of the reciprocal transformation between phlegm and blood stasis, thus exerting a significant curative effect.
Humans ; Medicine, Chinese Traditional ; Coronary Disease ; Mucus ; Atherosclerosis ; Lipids