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 evaluate the economics of trastuzumab deruxtecan versus the physician-selected chemotherapy （TPC） regimen in the second-line treatment of advanced breast cancer with epidermal growth factor receptor 2 （HER-2） low expression from the perspective of the Chinese healthcare system. METHODS Based on the data of DESTINY-Breast04 clinical trial， the dynamic Markov model was constructed. The time frame of the model simulation was 10 years， and the cycle was 3 weeks. Taking cost， quality-adjusted life year （QALY） and incremental cost-effectiveness ratio （ICER） as the model output indicators， the discount rate of 5% was applied， and 3 times China’s per capita gross domestic product （GDP） in 2023 was taken as the willingness-to-pay （WTP） threshold value. Cost-utility analysis was used to evaluate the economics of the two treatment regiments in the hormone receptor-positive cohort and all patient cohorts， and uncertainty analysis was used to verify the robustness of the basic analysis result. RESULTS The results of the basic analysis showed that compared with the TPC regimen， the ICER value of trastuzumab deruxtecan regimen edu.cn were 1 045 655.76 and 906 404.99 yuan/QALY in the hormone receptor-positive cohort and all patients， respectively， both exceeding the WTP threshold （268 074 yuan/QALY）. The results of single factor sensitivity analysis showed that progression-free survival utility value， the price of trastuzumab deruxtecan and progression disease utility had a significant influence on the model results. The results of probability sensitivity analysis showed that when the WTP threshold was 3 times China’s per capita GDP in 2023， the probability of economic viability of trastuzumab deruxtecan was 0. The results of scenario analysis showed that when the patient assistance program for trastuzumab deruxtecan was considered， the probability of trastuzumab deruxtecan regimen being economical was 0. However， when the price of trastuzumab deruxtecan was reduced by 70%， the probability of its being cost-effective was significantly increased to 82.80%. CONCLUSIONS At a WTP threshold of 3 times China’s per capita GDP in 2023， the trastuzumab deruxtecan regimen is not cost-effective compared to TPC regimen for the second-line treatment of advanced breast cancer with HER-2 low expression. Reducing the price of trastuzumab deruxtecan by region can improve its cost-effectiveness.

Objective To investigate the expression of PLCD3 mRNA in the synovium of osteoarthritis(OA)and its relationship with immune cell infiltration.Methods Based on the differentially expressed genes of OA found in the previous study,the expression of phospholipase Cδ3(PLCD3)mRNA was detected by col-lecting synovial samples from OA group and control group.CIBERSORT algorithm was used to analyze the infiltration pattern of immune cells in OA group and control group,and the correlation between PLCD3 and infiltrating immune cells was further analyzed.Results Compared with the control group,the relative expres-sion level of PLCD3 mRNA was significantly increased in synovial samples of OA group(P<0.05).The pro-portions of B cells naive,NK cells activated,M2 macrophages and mast cells activated in synovial tissues of OA group were relatively high(P<0.05).PLCD3 was positively correlated with the proportion of these four immune cells(P<0.05).Conclusion PLCD3 may be a key biomarker for the diagnosis of OA,which may be involved in the pathogenesis of OA by interacting with infiltrating immune cells.

Objective To observe the effects of abdominal penetrating moxibustion combined with acupuncture at the"four chong points"on balance,walking function and trunk control in patients recovering from stroke.Methods Seventy-eight patients recovering from stroke were randomly divided into an observation group and a control group,with 39 patients in each group.The control group was given conventional rehabilitation exercises,while the observation group was given abdominal penetrating moxibustion combined with acupuncture at the"four chong points"on the basis of the control group.Both groups were treated for 2 consecutive months.After 2 months of treatment,the clinical efficacy of the two groups was evaluated,and the changes in the Berg Scale score and the Timed Up and Go Test(TUGT)were observed before and after treatment.The changes in the National Institutes of Health Stroke Scale(NIHSS)scores were compared before and after treatment between the two groups.The Sheikh Trunk Control Scale scores were also evaluated.Results(1)The total effective rate of the observation group was 94.87%(37/39),and the total effective rate of the control group was 80.00%(31/39),and the efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,the Berg scores of the patients in the two groups were significantly increased(P＜0.05),and the Berg scores of the observation group were higher than those of the control group,and the difference was statistically significant(P＜0.05).(3)After treatment,the TUGT time and NIHSS score of patients in the two groups were significantly improved(P＜0.05),and the TUGT time of the observation group was shorter than that of the control group,and the NIHSS score was lower than that of the control group,and the difference was statistically significant(P＜0.05).(4)After treatment,the Sheikh trunk control scores of the two groups were significantly increased(P＜0.05),and the Sheikh trunk control score of the observation group was higher than that of the control group,and the difference was statistically significant(P＜0.05).Conclusion Abdominal penetrating moxibustion method combined with acupuncture at the four chong points for the treatment of stroke recovery can effectively restore the patients'balance and walking function,improve the patients'trunk control ability,and the therapeutic effect is precise.

46XY simple gonadal hypoplasia, also known as Sweyer syndrome, patients often due to primary amenorrhea or pubertal secondary sex characteristics do not develop the doctor, its combined gonadal tumor is more likely, in the treatment process is often recommended prophylactic removal of gonads, postoperative hormone replacement therapy. We describe two patients diagnosed with Sweyer syndrome, one with gonadowlastoma and mature teratoma, and one with nodular Leydig cell hyperplasia and ectopic adrenal tissue, and reviews the literature.

Objective:To investigate whether long non-coding RNA(lncRNA) AW112010 can improve insulin resistance in aging adipocytes through the miR-204/POU2F2 signaling pathway.Methods:In vivo experiment: C57BL/6 mice were divided into young control group(4 months old) and aging model group(18 months old) based on body weight. The expression levels of AW112010, miR-204-5p, POU2F2, aging related indicators(p16, p21), and insulin signaling pathway genes [insulin receptor(INSR), insulin receptor substrate 1(IRS1), phosphatidylinositol kinase(PI3K), protein kinase B(AKT)] in epididymal adipose tissue were detected using real-time fluorescence quantitative PCR(RT-qPCR) and Western blotting. In vitro experiment: Using adriamycin(ADR) to induce 3T3-L1 aging adipocyte model, β-gal staining was used to observe cellular senescence, and miR-204 inhibitor and miR-204 mimic small interfering RNA were successfully constructed and transfected into 3T3-L1 adipocytes. Results:RT-qPCR and Western blot results showed that compared with the young group, the expression of AW112010 in the adipose tissue of aging mice was increased, while the expression of miR-204-5p was decreased. The expressions of POU2F2, p16, and p21 in the adipose tissue of aging mice were increased, while the expressions of INSR, IRS1, PI3K, GLUT4 mRNA and protein were decreased. The β-gal stainging results showed that the number of 3T3-L1 senescent adipocytes induced by ADR was significantly increased, and the expression levels of AW112010, POU2F2, p16, and p21 in ADR-induced senescent adipocytes were increased compared with the control group, while the expression levels of miR-204-5p, INSR, IRS1, PI3K, GLUT4 were decreased, and remaining glucose in the culture medium was increased. Compared with control, overexpression of miR-204 resulted in decreased expressions of aging indicators p16, p21, and target gene POU2F2 while the expressions of INSR and GLUT4 were increased.Conclusion:Upregulation of lncRNA AW112010 in adipocytes of aging mice may induce insulin resistance by targeting miR-204-5p/POU2F2/IRS1.

Objective To explore the molecular mechanisms and cell-cell interactions in the injury process of pancreatic islet transplantation.Methods Single-cell transcriptome data from mouse islets treated with inflammatory factors were used,and data processing was performed using the Seurat package,with integrated data to remove batch effects.Cell subpopulations were annotated based on known markers.Cell-cell interactions in the inflammatory factor-treated group were analyzed using the CellChat package,and inferred based on the expression of cell surface receptors and ligands.Gene set enrichment analysis was used to clarify the biological processes enriched in β-cells after treatment with inflammatory factors.Finally,differentially expressed transcription factors were identified and verified using microarray datasets of donor islet ischemic injury and Western blotting.Results A total of 7 different cell subpopulations were found in mouse islets,with β-cells being the most abundant.Cell-cell interaction network analysis showed that the number and strength of interactions between ductal cells and other cells were the highest.Gene set enrichment analysis showed that after treatment with inflammatory factors,the immune response was positively enriched in β-cells,while peptide hormone metabolism,bile acid metabolism,and ion homeostasis were downregulated.The common differential transcription factors identified in the mouse single-cell transcriptome and the microarray dataset of donor islet ischemic injury were early growth response 1(EGR1),nuclear factor-κB inhibitor α(NFKBIA),and activating transcription factor 3(ATF3).Among them,NFKBIA and ATF3 were upregulated,while EGR1 was downregulated.The expression of EGR1 protein was downregulated after 24 h,48 h,and 72 h of cold ischemia.Conclusions EGR1 is a transcription factor closely related to islet cold ischemia,and future research should focus on the specific mechanisms of EGR1 and its downstream target genes,in order to provide more effective strategies for clinical treatment of islet transplantation.

Objective To investigate the population characteristics,distribution of traditional Chinese medicine(TCM)syndromes and influencing factors of long-term prognosis of diarrhea-predominant irritable bowel syndrome(IBS-D),and to provide evidence for the formulation of intervention program for IBS-D patients.Methods A total of 124 patients with IBS-D admitted to the medical institutions of the project team members from July 2020 to August 2022 were selected.According to the scoring results of IBS Quality of Life Measure(IBS-QOL),the patients were divided into the good prognosis group(81 cases)and the poor prognosis group(43 cases).The distribution of TCM syndromes in patients with IBS-D was explored,and the difference of IBS-QOL scores of the patients between good prognosis group and poor prognosis group was compared.Univariate logistic regression analysis and multivariate logistic regression analysis were used to determine the main risk factors for poor prognosis in patients with IBS-D.Results(1)The analysis of population characteristics showed that there was no significant difference in the proportion of male and female patients with IBS-D.The patients with IBS-D were usually middle-aged,and had a large interval span of the course of disease.The severity of their symptoms was mostly moderate.All of the patients with IBS-D had various degrees of anxiety and depression,and had nutritional imbalance.(2)The distribution of TCM syndromes in the patients with IBS-D were shown as the following:78 cases were identified as liver depression and spleen deficiency type,accounting for 62.90％;26 cases were identified as spleen-qi deficiency type,accounting for 20.97％;20 cases were identified as spleen and kidney yang deficiency type,accounting for 16.13％.(3)Analysis of IBS-QOL score showed that compared with the good prognosis group,the items scores of negative emotion,physical function,behavioral disorder,health status,being fastidious about food,social function,sexual behavior and interpersonal relationship of IBS-QOL in the poor prognosis group were significantly lowered(P＜0.01).(4)The univariate analysis showed that the risk of poor prognosis in patients with IBS-D would be increased by the factors of age,education level,course of disease,severity of symptoms,anxiety state,depression state,TCM syndrome types,Acute Physiology and Chronic Health Evaluation scoring system Ⅱ(APACHE 11)score,complication of neurological diseases,hemoglobin level,albumin level and total protein level(P＜0.01).(5)The multivariate Logistic regression analysis showed that the risk factors for poor prognosis of IBS-D patients involved age,education level below junior high school,the severity of symptoms being severe,Self-Rating Anxiety Scale(SAS)score,Self-Rating Depression Scale(SDS)score,TCM syndrome being liver depression and spleen deficiency type,hemoglobin level,albumin level and total protein level(P＜0.01).Conclusion Most of IBS-D patients exert long-term poor prognosis,and their long-term prognosis is affected by the factors of age,education level,severity of symptoms,anxiety and depression state,nutritional imbalance and TCM syndrome being liver depression and spleen deficiency type.The identification of the risk factors of poor prognosis will provide evidence for the formulation and adjustment of clinical intervention programs.

Objective:To explore the diagnosis and treatment of adolescence-onset methylenetetrahydrofolate reductase (MTHFR) deficiency.Methods:This was a retrospective case study. Nine patients with adolescence-onset MTHFR deficiency were diagnosed at Peking University First Hospital from January 2016 to December 2022, and followed up for more than 1 year. Their general information, clinical manifestations, laboratory tests, cranial images, MTHFR gene variants, diagnosis, treatment, and outcome were analyzed retrospectively.Results:The 9 patients came from 8 families. They had symptoms at age of 8.0 years to 17.0 years and diagnosed at 9.0 years to 17.5 years. Eight were male and 1 was female. Two patients were brothers, the elder brother developed abnormal gait at 17.0 years; and the younger brother was then diagnosed at 15.0 years of age and treated at the asymptomatic stage, who was 18.0 years old with normal condition during this study. The main manifestations of the 8 symptomatic patients included progressive dyskinesia and spastic paralysis of the lower limbs, with or without intellectual decline, cognitive impairment and behavioral abnormalities. Totally, 15 variants of MTHFR gene were identified in the 9 patients, including 8 novel variants. Five patients had brain image abnormalities. Increased plasma total homocysteine level (65-221 μmol/L) was found in all patients, and decreased to 20-70 μmol/L after treatment with betaine and calcium folinate. Besides, the 8 symptomatic patients had their behavior and cognitive problems significantly improved, with a legacy of lower limb motor disorders.Conclusions:Late-onset MTHFR deficiency can occur in adolescence. The diagnosis is usually delayed because of non-specific clinical symptoms. The test of blood total homocysteine could be used as a selective screening test. Eight novel varients of MTHFR gene were identified. Timely treatment can improve clinical condition significantly, and pre-symptomatic treatment may prevent brain damage.

Objective:To investigate the clinical features and outcomes of adolescence-onset methylmalonic acidemia (MMA) and explore preventive strategies.Methods:This was a retrospective case analysis of the phenotypes, genotypes and prognoses of adolescence-onset MMA patients. There were 55 patients diagnosed in Peking University First Hospital from January 2002 to June 2023, the data of symptoms, signs, laboratory results, gene variations, and outcomes was collected. The follow-ups were done through WeChat, telephone, or clinic visits every 3 to 6 months.Results:Among the 55 patients, 31 were males and 24 were females. The age of onset was 12 years old (range 10-18 years old). They visited clinics at Tanner stages 2 to 5 with typical secondary sexual characteristics. Nine cases (16%) were trigged by infection and 5 cases (9%) were triggered by insidious exercises. The period from onset to diagnosis was between 2 months and 6 years. Forty-five cases (82%) had neuropsychiatric symptoms as the main symptoms, followed by cardiovascular symptoms in 12 cases (22%), kidney damage in 7 cases (13%), and eye disease in 12 cases (22%). Fifty-four cases (98%) had the biochemical characteristics of methylmalonic acidemia combined with homocysteinemia, and 1 case (2%) had the isolated methylmalonic acidemia. Genetic diagnosis was obtained in 54 cases, with 20 variants identified in MMACHC gene and 2 in MMUT gene. In 53 children with MMACHC gene mutation,1 case had dual gene variants of PRDX1 and MMACHC, with 105 alleles. The top 5 frequent variants in MMACHC were c.482G>A in 39 alleles (37%), c.609G>A in 17 alleles (16%), c.658_660delAAG in 11 alleles (10%), c.80A>G in 10 alleles (10%), c.567dupT and c.394C>T both are 4 alleles (4%). All patients recovered using cobalamin, L-carnitine, betaine, and symptomatic therapy, and 54 patients (98%) returned to school or work.Conclusions:Patients with adolescence-onset MMA may triggered by fatigue or infection. The diagnosis is often delayed due to non-specific symptoms. Metabolic and genetic tests are crucial for a definite diagnosis. Treatment with cobalamin, L-carnitine, and betaine can effectively reverse the prognosis of MMA in adolescence-onset patients.