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This study aimed to evaluate arsenic (As), cadmium (Cd), chromium (Cr), and lead (Pb) levels in dried chili peppers from nine districts in Guizhou Province. These heavy metals, widely dispersed and capable of transferring to crops, pose potential health risks to humans. The assessment included modeling daily intake (EDI), target hazard quotient (THQ), total target hazard index (TTHQ), and target carcinogenic risk (TCR) to assess health risks across different population groups. Results showed chromium (0.9540 ± 0.301 mg/kg) and lead (0.8949 ± 0.266 mg/kg) had the highest concentrations, followed by arsenic (0.3287 ± 0.093 mg/kg) and cadmium (0.0627 ± 0.017 mg/kg). Children exhibited higher EDI values than adults, indicating greater health risks from dried chili pepper consumption at equivalent levels. THQ and TTHQ values were below 1 across all regions, indicating no significant health risks associated with dried chili pepper consumption. Similarly, TCR values were below 10–4 for all nine regions, indicating an acceptable level of carcinogenic risk. Overall, consuming dried chili peppers in Guizhou Province poses an acceptable health risk, but caution is advised, especially for children, to limit heavy metal exposure. [ABSTRACT FROM AUTHOR]

Purpose: The combination of high-pressure air and TNT in shock tubes can effectively simulate real nuclear explosions and conventional weapon explosion shock waves. However, the explosion shock wave parameters are greatly affected by changes in the tube sections and the increase in the initial air pressure. Methods: In this study, the propagation law of explosion shock waves in closed variable section tubes was studied first through theoretical analysis and explosion tests under five different high-pressure environments. Then, the influences of different initial pressures of 100–500 kPa on shock wave related parameters were analyzed by numerical simulation, the change curves of the shock wave overpressure peak and different initial pressures at different test points were fitted, and the change process of the pressure field in the tube was obtained. Finally, an engineering model that can attenuate the shock wave overpressure peak in high-pressure tube with variable section is established by dimensional analysis method. Results: The results show that the attenuation coefficient of the shock wave decreases with an increasing cross section change rate and the related parameters of the shock wave increase with an increasing initial pressure. Compared with normal temperature and pressure, the maximum increase in the peak overpressure of the shock wave is 11.4%, the maximum increase in the arrival time is 94.2%, and the maximum increase in the impulse is 3.5%. Conclusion: The conclusion of this study is that contracting the tube cross-section within the excitation tube driving section can effectively enhance the intensity of the shock wavefront. The combined high-pressure air and explosive driving method can effectively increase the energy of the driving section. Moreover, the higher the initial pressure of air, the higher the energy at the exit of the excitation tube. The results obtained can be used for simulation analysis of explosion shock waves. [ABSTRACT FROM AUTHOR]

Objectives: Precise determination of cervical lymph node metastasis (CLNM) involvement in patients with early-stage thyroid cancer is fairly significant for identifying appropriate cervical treatment options. However, it is almost impossible to directly judge lymph node metastasis based on the imaging information of early-stage thyroid cancer patients with clinically negative lymph nodes. Methods: Preoperative US images (BMUS and CDFI) of 1031 clinically node negative PTC patients definitively diagnosed on pathology from two independent hospitals were divided into training set, validation set, internal test set, and external test set. An ensemble deep learning model based on ResNet-50 was built integrating clinical variables, BMUS, and CDFI images using a bagging classifier to predict metastasis of CLN. The final ensemble model performance was compared with expert interpretation. Results: The ensemble deep convolutional neural network (DCNN) achieved high performance in predicting CLNM in the test sets examined, with area under the curve values of 0.86 (95% CI 0.78–0.94) for the internal test set and 0.77 (95% CI 0.68–0.87) for the external test set. Compared to all radiologists averaged, the ensemble DCNN model also exhibited improved performance in making predictions. For the external validation set, accuracy was 0.72 versus 0.59 (p = 0.074), sensitivity was 0.75 versus 0.58 (p = 0.039), and specificity was 0.69 versus 0.60 (p = 0.078). Conclusions: Deep learning can non-invasive predict CLNM for clinically node-negative PTC using conventional US imaging of thyroid cancer nodules and clinical variables in a multi-institutional dataset with superior accuracy, sensitivity, and specificity comparable to experts. Critical relevance statement: Deep learning efficiently predicts CLNM for clinically node-negative PTC based on US images and clinical variables in an advantageous manner. Key points: • A deep learning-based ensemble algorithm for predicting CLNM in PTC was developed. • Ultrasound AI analysis combined with clinical data has advantages in predicting CLNM. • Compared to all experts averaged, the DCNN model achieved higher test performance. [ABSTRACT FROM AUTHOR]

Dilated cardiomyopathy (DCM) is a primary myocardial disease of unclear mechanism and poor prevention. The purpose of this study is to explore the potential molecular mechanisms and targets of DCM via bioinformatics methods and try to diagnose and prevent disease progression early. We screened 333 genes differentially expressed between DCM and normal heart samples from GSE141910, and further used Weighted correlation network analysis to identify 197 DCM-related genes. By identifying the key modules in the protein–protein interaction network and Least Absolute Shrinkage and Selection Operator regression analysis, seven hub DCM genes (CX3CR1, AGTR2, ADORA3, CXCL10, CXCL11, CXCL9, SAA1) were identified. Calculating the area under the receiver's operating curve revealed that these 7 genes have an excellent ability to diagnose and predict DCM. Based on this, we built a logistic regression model and drew a nomogram. The calibration curve showed that the actual incidence is basically the same as the predicted incidence; while the C-index values of the nomogram and the four external validation data sets are 0.95, 0.90, 0.96, and 0.737, respectively, showing excellent diagnostic and predictive ability; while the decision curve indicated the wide applicability of the nomogram is helpful for clinicians to make accurate decisions. [ABSTRACT FROM AUTHOR]

Background/Aims: Targeted drug delivery vehicles with low immunogenicity and toxicity are needed for cancer therapy. Here, we prepare an active targeting drug carrier of low immunogenicity and toxicity for targeted therapy. Methods: Immature dendritic cells (imDCs) from BALB/c mice were used as donor cells of exosomes (Exos) that were transfected with the plasmids expressing fusion proteins of a tumor-targeting peptide known as internalizing RGD (iRGD) to construct a type of tumor-targeting iRGD-Exos and observe the interaction between these iRGD-Exos. Also, recombinant methioninase (rMETase) was loaded into the iRGD-Exos by electroporation to construct iRGD-Exos-rMETase and to assess the tumor-targeting function of the iRGD-Exos-rMETase. Finally, 30 BALB/c were randomly divided into five groups (n = 6), to observe tumor growth in vivo. Results: The iRGD-Exos-rMETase was 99.58 nm in diameter and presented a unique "goblet" structure under transmission electron microscopy (TEM), with the encapsulation efficiency (EE) of 19.05%. iRGD-Exos-rMETase group has the strongest tumor suppressive effect. Compared to the iRGD-Exos-rMETase group, rMETase group and the blank-Exos-rMETase group were less effective, while the PBS group and the iRGD-Exos group showed no inhibitory effect on tumor growth. After treatment, the iRGD-Exos-rMETase group had gastric tumors significantly smaller and lighter than the other groups (P < 0.05). Conclusion: The iRGD-Exos-rMETase is an effective antitumor therapy that delivers rMETase to tumor tissue using the iRGD-Exos. With its favorable inhibitory effect and tumor-targeting function, the iRGD-Exos-rMETase shows excellent potential value and exciting prospects in clinical applications. [ABSTRACT FROM AUTHOR]

Background: Autophagy plays an important role in regulating cisplatin (CDDP) resistance in gastric cancer cells. However, the underlying mechanism of methioninase (METase) in the regulation of autophagy and CDDP resistance of gastric cancer cells is still not clear. Materials and methods: Western blot was used to detect the levels of autophagy-related proteins, multidrug-resistant 1 (MDR-1), and FoxM1 protein. LncRNA HULC was detected by qRT-PCR. Cell viability was detected using CCK-8 assay. The interaction between lncRNA HULC and FoxM1 was confirmed by RNA pull-down and RIP assay. Results: Lentiviral vector carrying METase (LV-METase) suppressed autophagy and CDDP resistance of drug-resistant gastric cancer cells. LncRNA HULC was significantly downregulated in drug-resistant gastric cancer cells transfected with LV-METase. Besides, we found that lncRNA HULC interacted with FoxM1. In addition, METase suppressed autophagy to reduce CDDP resistance of drug-resistant gastric cancer cells through regulating HULC/FoxM1, and interfering HULC suppressed autophagy to reduce CDDP resistance of drug-resistant gastric cancer cells through regulating FoxM1. Finally, interfering HULC inhibited tumor growth in vivo. Conclusion: METase suppressed autophagy to reduce CDDP resistance of drug-resistant gastric cancer cells through regulating HULC/FoxM1 pathway. [ABSTRACT FROM AUTHOR]

This retrospective analysis compared standard regimen of doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD) with the dose-dense ABVD regimen (ABVD-21) in terms of efficacy and toxicity. Patients who had early-stage unfavorable or advanced Hodgkin's lymphoma (HL) according to German Hodgkin Study Group criteria from March 1999 to February 2011 were analyzed for treatment response, long-term survival and hematological toxicity. There were 85 patients in the ABVD-21 group and 118 patients in the ABVD group respectively. The complete remission rates after completion of treatment were 92.9% and 90.7% for ABVD-21 and ABVD, respectively. During a median follow-up period of 62 months, no significant difference was found in projected 10-year progression-free survival (PFS) and overall survival (OS) rates (84.7% and 94.1% respectively for ABVD-21; 81.4% and 91.5% for ABVD). Subgroup analyses showed that ABVD-21 was significantly better than ABVD for patients with IPS≥3 in terms of PFS and OS rates. Grade 3 to 4 leukopenia (51.8% vs. 28.8%, P=0.001) and neutropenia (57.6% vs. 39.0%, P=0.009) were more common with ABVD-21. We were led to conclude that dose-dense ABVD did not result in better tumor control and overall survival than did ABVD for early-stage unfavorable HL. However, patients at high risk, for example, with IPS≥3, may benefit from dose-dense ABVD. [ABSTRACT FROM AUTHOR]

This study was conducted to evaluate the efficacy and safety of gemcitabine-based combination regimen in patients with peripheral T-cell lymphoma (PTCL). Between May 2007 and August 2011, 26 consecutive patients with PTCL were enrolled in this study. Of these 26 patients, histology was extranodal NK/T-cell lymphoma, nasal type in 14 (53.9 %), peripheral T-cell lymphoma, not otherwise specified in nine (34.6 %), anaplastic large cell lymphoma, ALK negative in three (11.5 %). The majority of patients had newly diagnosed (65.4 %) and advanced (80.8 %) diseases. Treatment regimen was DIMG (dexamethasone, ifosfamide, methotrexate, and gemcitabine) given to the first 6 patients, and GDP (gemcitabine, dexamethasone, and cisplatin) given to the remaining 20 patients. The median follow-up time was 25 (range 7-60) months. The overall response rate was 88.5 %. Twelve (46.2 %) patients achieved complete remission, 11 (42.3 %) patients achieved partial remission, and 1 (3.8 %) patient had stable disease (SD), two (7.7 %) patients had progressive diseases. The 1- and 2-year progression-free survival rates were 58.7 and 45.9 %, while 1- and 2-year overall survival rates for all patients were 80.6 and 63.7 %, respectively. Adverse events included grade 3 or 4 neutropenia (35.0 %) and thrombocytopenia (15.0 %) from patients treated with GDP. Grade 3 or 4 neutropenia and thrombocytopenia were 100.0 and 66.7 %, respectively, for patients who received DIMG regimen. Our study has demonstrated that the gemcitabine-based combination regimen, especially GDP regimen, is safe and well tolerated with promising clinical activity in patients with PTCLs. [ABSTRACT FROM AUTHOR]