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.

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Superior vena cava syndrome(SVCS)is a group of clinical syndromes caused by obstruction of the superior vena cava and its major branches from various causes.Pulmonary artery stenosis(PS)is a complication of lung cancer or mediastinal tumours.SVCS combined with PS due to pulmonary metastases from bladder cancer is extremely rare and has not been reported in the literature.Here we reported an old male patient with pulmonary metastases from bladder cancer presenting with swelling of the head,neck and both upper limbs.SVCS combined with PS was clarified by pulmonary artery computed tomography angiography(CTA)and digital subtraction angiography(DSA).Endovascular stenting was used to treat SVCS.Angiography also showed that PS had not caused pulmonary hypertension and did not need to be treated.The swelling of the patient's head,neck and upper limbs was gradually reduced after the procedure.

Fragment with some anti-pancreatic cancer activity was identified by screening our internal chemical library. Eighteen compounds in 4 classes were synthesized by systematic modification and their anti-pancreatic cancer activity were evaluated. Ⅱ-1 (IC₅₀ = 6.40 ± 0.34 μmol·L^-1) and Ⅱ-2 (IC₅₀ = 7.15 ± 0.51 μmol·L^-1) exhibited outstanding activity. Subsequently, the anti-migration ability and invasion ability of Ⅱ-1 was evaluated by wound healing assay and invasion assay, Ⅱ-1 exhibited good anti-migration ability and outstanding anti-invasion ability. Using molecular docking technology and molecular dynamics simulation technology, the potential target was locked on bispecific tyrosine phosphorylation regulates kinase 1A (DYRK1A). By enzyme activity testing, the inhibitory capacity of Ⅱ-1 and Ⅱ-2 was 48% and 32%, respectively.

Exploring the risk "time interval window" of sequential medication of Reduning injection (RDN) and penicillin G injection (PG) by detecting the correlation between serum biochemical indexes and plasma metabonomic characteristics, in order to reduce the risk of adverse reactions caused by the combination of RDN and PG. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). The changes of biochemical indexes in serum of rats were detected by enzyme-linked immunosorbent assay. It was determined that RDN combined with PG could cause pseudo-allergic reactions (PARs) activated by complement pathway. Further investigation was carried out at different time intervals (1.5, 2, 3.5, 4, 6, and 8 h PG+RDN). It was found that sequential administration within 3.5 h could cause significant PARs. However, PARs were significantly reduced after administration interval of more than 4 h. LC-MS was used for plasma metabolomics analysis, and the levels of serum biochemical indicators and plasma metabolic profile characteristics were compared in parallel. 22 differential metabolites showed similar or opposite trends to biochemical indicators before and after 3.5 h. And enriched to 10 PARs-related pathways such as arachidonic acid metabolism, steroid hormone biosynthesis, linoleic acid metabolism, glycerophospholipid metabolism, and tryptophan metabolism. In conclusion, there is a risk "time interval window" phenomenon in the adverse drug reactions caused by the sequential use of RDN and PG, and the interval medication after the "time interval window" can significantly reduce the risk of adverse reactions.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Background and objective Pembrolizumab(PEM)has been shown to be effective in clinical trials for the treatment of advanced non-small cell lung cancer(NSCLC),but clinical trials were based on cohorts of patients selected on specific criteria,and whether the findings are consistent with real-world patients is debatable.The aim of this study is to evaluate the efficacy and safety of PEM in the treatment of advanced NSCLC based on real-world data.Methods A retro-spective collection of real-world data from patients with advanced NSCLC receiving PEM was conducted.Propensity score matching was used to eliminate inter-group differences and assess the efficacy and safety of PEM compared to chemotherapy.Results Among 450 matched patients,the incidence rates of any-grade adverse events were 79.87％in the PEM group and86.71％inthe chemotherapy group,while the incidence rates of grade＞3 adverse events were 4.03％and 7.31％,respectively.The objective response rates were 48.63％for PEM and 36.00％for chemotherapy(P=0.011).The median progression-free survival was 15.5 months for PEM and 8.8 months for chemotherapy(P＜0.001),and the median overall survival was not reached for PEM and 26.2 months for chemotherapy(P＜0.001).Conclusion PEM treatment for advanced NSCLC demonstrates favorable survival outcomes and acceptable safety in real-world clinical practice.

Objective To explore the clinical value of anti-Müllerian hormone(AMH)to optimize endocrine therapy for peri-menopausal early breast cancer.Methods Two hundred and four patients of pre-menopausal breast cancer aged 45-55 years old between 2020 and 2023 were enrolled,and AMH≤0.1 ng/mL was considered as cut-off value for menopause.Switching from selective estrogen receptor modulator(SERM)to aromatase inhibitor aromatase inhibitor(AI)and initial endocrine therapy regimens were based on AMH,follicle-stimulating hormone(FSH)and estradiol(E2).Results Pre-chemotherapy AMH level was significantly negatively correlated with FSH level(P<0.001).Among 100 cases who were amenorrhea for one year during SERM treatment,42 cases did not have AMH testing.Fourteen out of the 42 cases switched to AI within one year,and ovarian function recovery(OFR)occurred in 2 cases after AI switching.Fifteen cases with AMH>0.1 ng/mL did not switch to AI within one year.Forty among 43 cases with AMH≤0.1 ng/mL switched to AI,after a significantly shorter median SERM treatment duration(3.15 months vs.8.14 months,P<0.001)and a significantly lower OFR rate(0 vs.12.5%,P=0.023)compared with those who did not test AMH but switched to AI.AMH≤0.1 ng/mL was an independent risk factor of transition to menopause shortly in peri-menopausal patients(OR=35.857,P<0.001).Among 104 cases with AMH tested before adjuvant chemotherapy,69 cases had AMH>0.1 ng/mL.Thirty-one out of the 69 cases were treated with ovarian function suppression(OFS)initially and 38 with SERM initially.Thirty-five cases with AMH≤0.1 ng/mL were all treated with SERM initially,with a higher rate of switching to AI(71.4%vs.23.7%,P<0.001)and a shorter SERM treatment duration(6.52 months vs.13.56 months,P=0.016)compared with the 38 cases(AMH>0.1 ng/mL)treated initially with SERM.After a median 30-month follow-up,no recurrence was observed in these thirty-five cases treated with SERM initially and AMH≤0.1 ng/mL,just like in OFS group.And they had a tendency of improved survival outcome compared with those treated with SERM initially and AMH>0.1 ng/mL(Log Rank P=0.076).Conclusion AMH could evaluate and predict menopause accurately,resulting in optimizing endocrine therapy for peri-menopausal patients effectively and safely.

Hereditary breast cancer refers to breast cancer with a genetic susceptibility gene.PTEN germline mutations are rare in breast cancer,but patients with PTEN mutations have a high risk of breast cancer.In 2021,A young patient with bilateral breast cancer was admitted to the Obstetrics and Gynecology Hospital,Fudan University.Due to bilateral multiple breast lumps,she underwent Vacuum-Assisted Breast Biopsy,which was pathologically confirmed as right ductal carcinoma in situ,left breast invasive carcinoma.The patient had multiple neoplasms in bilateral axillary region skin,neck skin and bilateral inguinal regiona skin,and the second-generation sequencing results of peripheral blood genes showed PTEN gene mutation.Combined with family history,the patient was diagnosed with Cowden syndrome(CS).Such patients should be paid attention to cancer risk management and family management,so as to attain early diagnosis and treatment.

Objective To explore the expression of serum fatty acid-binding protein 4(FABP4)and fibroblast growth factor 19(FGF19)in patients with β-thalassemia and their relationship with clinical prognosis.Methods A total of 112 cases ofβ-thalassemia patients diagnosed and treated in Qianjiang Hospital Affiliated to Chongqing University from January 2018 to August 2020 were selected as the case group,and 60 healthy individuals who underwent physical examinations during the same period were taken as the control group.Enzyme-linked immunosorbent assay was used to detect levels of serum FABP4 and FGF19 expression.Multivariate logistic regression analysis was used to analyze factors affecting the prognosis of patients with β-thalassemia.Receiver operating characteristic curve was used to analyze the prognostic value of FABP4 and FGF19 in patients with β-thalassemia.Results The serum FABP4 level(67.13±11.35 μg/L)in the case group was higher than that in the control group(22.01±4.16μg/L),while the serum FGF19 level(104.24±21.46 ng/L)was lower than that in the control group(218.01±36.79 ng/L),with significant differences(t=29.708,25.620,all P＜0.05).The serum FABP4 levels(54.20±12.63 μ g/L,66.83±10.5 μ g/L,79.72±11.05 μ g/L)in the mild group,intermediate group,and severe group were increased sequentially,while FGF19 levels(122.53±22.36 ng/L,103.16±20.37 ng/L,86.53±18.14 ng/L)were decreased sequentially,and the differences were significant(F=39.701,24.231,all P＜0.05).Compared to the survival group,serum FGF19 level(62.80±22.09 ng/L vs 110.16±20.69 ng/L),Hb and the proportion of heterozygous genotypes in the death group patients(β CD17/β N,β CD41-42/β N)was lower,while serum FABP4(116.69±12.30 ng/L vs 60.05±10.17 ng/L),ferritin and the proportion of cardiac enlargement were higher,with significant differences(t/x2=4.436～18.981,all P＜0.05).FGF19(OR=0.634,95％CI:0.451～0.891)was an independent protective factor for β-thalassemia patients(P＜0.001),and serum FABP4(OR=1.840,95％CI:1.193～2.838)was an independent risk factor for prognosis(P＜0.001).The area under the curve(95％CI)of serum FABP4 and FGF19 combination in prognosis evaluation for β-thalassemia patients was 0.897(0.853～0.951),which was greater than the single serum indicator detection of 0.842(0.801～0.879)and 0.814(0.762～0.858),with significant differences(Z=4.864,5.270,P=0.002,0.001).Conclusion The serum FABP4 expression is increased,but serum FGF19 expression is decreased in patients with β-thalassemia.The combination of serum FABP4 and FGF19 may have a high predictive value for the prognosis of patients with β-thalassemia.