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 serum metabolomics and gut microbiota technology, this study explores the effects and mechanisms of the water extract of Ziziphi Spinosae Semen(SZRW) and the petroleum ether extract of Ziziphi Spinosae Semen(SZRO) in improving depressive-like behaviors induced by sleep deprivation. A modified multi-platform water environment method was employed to establish a rat model of sleep deprivation. Depressive-like behaviors in rats were assessed through the sucrose preference test and forced swim test. The expression of barrier proteins, such as Occludin, in the colon was determined by immunofluorescence. UPLC-Q-Orbitrap MS was utilized to analyze the serum metabolic profiles of sleep-deprived rats, screen for differential metabolites, and analyze metabolic pathways. The diversity of the gut microbiota was detected using 16S rRNA gene sequencing. Spearman correlation coefficient analysis was conducted to assess the correlation between differential metabolites and gut microbiota. The results indicated that SZRO significantly increased the sucrose preference index and decreased the immobility time in the forced swim test in rats. A total of 34 differential metabolites were identified through serum metabolomics. SZRW and SZRO shared five metabolic pathways, including phenylalanine metabolism. SZRW uniquely featured taurine and hypotaurine metabolism, while SZRO uniquely featured linoleic acid metabolism and tyrosine metabolism. Correlation analysis revealed that SZRW could upregulate the abundance of Bilophila, promoting the production of indole-3-propionic acid and subsequently upregulating the expression levels of intestinal tight junction proteins such as ZO-1, Occludin, and Claudin-1. SZRO could indirectly influence metabolic pathways such as arginine metabolism and linoleic acid metabolism by upregulating the abundance of gut microbiota such as Coprococcus and Eubacterium species. Both SZRW and SZRO can regulate endogenous metabolism, including amino acids, energy, and lipids, alter the gut microbiota microecology, and improve depressive-like behaviors. SZRO demonstrated superior effects in regulating metabolic pathways and gut microbiota structure compared to SZRW. The findings of this study provide a scientific basis for elucidating the pharmacodynamic material basis of Ziziphi Spinosae Semen.
Animals ; Rats ; Gastrointestinal Microbiome/drug effects* ; Male ; Metabolomics ; Drugs, Chinese Herbal/administration & dosage* ; Depression/blood* ; Rats, Sprague-Dawley ; Sleep Deprivation/complications* ; Ziziphus/chemistry* ; Antidepressive Agents/administration & dosage* ; Behavior, Animal/drug effects* ; Humans

BACKGROUND AND OBJECTIVE: Patients with glioma experience a high symptom burden and have diverse palliative care needs. However, the assessment scales used in palliative care remain non-standardized and highly heterogeneous. To evaluate the application patterns of the current scales used in palliative care for glioma, we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care. METHODS: We conducted a systematic search of five databases including PubMed, Web of Science, Medline, EMBASE, and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care. We extracted data on scale characteristics, domains, frequency, and psychometric properties. Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools. RESULTS: Of the 3,405 records initially identified, 72 studies were included. These studies contained 75 distinct scales that were used 193 times. Mood (21.7%), quality of life (24.4%), and supportive care needs (5.2%) assessments were the most frequently assessed items, exceeding half of all scale applications. Among the various assessment dimensions, the Distress Thermometer (DT) was the most frequently used tool for assessing mood, while the Short Form-36 Health Survey Questionnaire (SF-36) was the most frequently used tool for assessing quality of life. The Mini Mental Status Examination (MMSE) was the most common tool for cognitive assessment. Performance status (5.2%) and social support (6.8%) were underrepresented. Only three brain tumor-specific scales were identified. Caregiver-focused scales were limited and predominantly burden-oriented. CONCLUSIONS: There are significant heterogeneity, domain imbalances, and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care. The scale selected for use should be comprehensive and user-friendly.
Humans ; Glioma/psychology* ; Palliative Care/methods* ; Quality of Life ; Psychometrics ; Brain Neoplasms/psychology*

Ischemic stroke (IS) is a globally life-threatening disease. Presently, few therapeutic medicines are available for treating IS, and rt-PA is the only drug approved by the US Food and Drug Administration (FDA) in the US. In fact, many agents showing excellent neuroprotection but no blood flow-improving activity in animals have not achieved ideal clinical efficacy, while thrombolytic drugs only improving blood flow without neuroprotection have limited their wider application. To address these challenges and meet the huge unmet clinical need, we have designed and identified a novel compound AAPB with dual effects of neuroprotection and cerebral blood flow improvement. AAPB significantly reduced cerebral infarction and neural function deficit in tMCAO rats, pMCAO rats, and IS rhesus monkeys, as well as displayed exceptional safety profiles and excellent pharmacokinetic properties in rats and dogs. AAPB has now entered phase I of clinical trials fighting IS in China.

Alzheimer's disease (AD) is a common neurodegenerative disorder among the elderly, and BuChE has emerged as a potential therapeutic target. In this study, we reported the development of compound 8e, a selective reversible BuChE inhibitor (eqBuChE IC₅₀ = 0.049 μmol/L, huBuChE IC₅₀ = 0.066 μmol/L), identified through extensive virtual screening and lead optimization. Compound 8e demonstrated favorable blood-brain barrier permeability, good drug-likeness property and pronounced neuroprotective efficacy. Additionally, 8e exhibited significant therapeutic effects in zebrafish AD models and scopolamine-induced cognitive impairments in mice. Further, 8e significantly improved cognitive function in APP/PS1 transgenic mice. Proteomics analysis demonstrated that 8e markedly elevated the expression levels of very low-density lipoprotein receptor (VLDLR), offering valuable insights into its potential modulation of the Reelin-mediated signaling pathway. Thus, compound 8e emerges as a novel and potent BuChE inhibitor for the treatment of AD, with significant implications for further exploration into its mechanisms of action and therapeutic applications.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

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.

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.