OBJECTIVES: To investigate the genomic characteristics and prognostic factors of juvenile myelomonocytic leukemia (JMML) with RAS mutations. METHODS: A retrospective analysis was conducted on the clinical data of JMML children with RAS mutations treated at the Hematology Hospital of Chinese Academy of Medical Sciences, from January 2008 to November 2022. RESULTS: A total of 34 children were included, with 17 cases (50%) having isolated NRAS mutations, 9 cases (27%) having isolated KRAS mutations, and 8 cases (24%) having compound mutations. Compared to children with isolated NRAS mutations, those with NRAS compound mutations showed statistically significant differences in age at onset, platelet count, and fetal hemoglobin proportion (P<0.05). Cox proportional hazards regression model analysis revealed that hematopoietic stem cell transplantation (HSCT) and hepatomegaly (≥2 cm below the costal margin) were factors affecting the survival rate of JMML children with RAS mutations (P<0.05); hepatomegaly was a factor affecting survival in the non-HSCT group (P<0.05). CONCLUSIONS Children with NRAS compound mutations have a later onset age compared to those with isolated NRAS mutations. At initial diagnosis, children with NRAS compound mutations have poorer peripheral platelet and fetal hemoglobin levels than those with isolated NRAS mutations. Liver size at initial diagnosis is related to the prognosis of JMML children with RAS mutations. HSCT can improve the prognosis of JMML children with RAS mutations.
Humans ; Leukemia, Myelomonocytic, Juvenile/therapy* ; Mutation ; Male ; Female ; Child, Preschool ; Retrospective Studies ; Child ; Infant ; GTP Phosphohydrolases/genetics* ; Membrane Proteins/genetics* ; Adolescent ; Hematopoietic Stem Cell Transplantation ; Proportional Hazards Models ; Proto-Oncogene Proteins p21(ras)/genetics* ; Prognosis

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese. METHODS: Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics. RESULTS: The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05). CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.

OBJECTIVE: To explore the relationship between serum chloride levels and prognosis in patients with hepatic coma in the intensive care unit (ICU). METHODS: We analyzed 545 patients with hepatic coma in the ICU from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Associations between serum chloride levels and 28-day and 1-year mortality rates were assessed using restricted cubic splines (RCSs), Kaplan-Meier (KM) curves, and Cox regression. Subgroup analyses, external validation, and mechanistic studies were also performed. RESULTS: A total of 545 patients were included in the study. RCS analysis revealed a U-shaped association between serum chloride levels and mortality in patients with hepatic coma. The KM curves indicated lower survival rates among patients with low chloride levels (< 103 mmol/L). Low chloride levels were independently linked to increased 28-day and 1-year all-cause mortality rates. In the multivariate models, the hazard ratio ( HR) for 28-day mortality in the low-chloride group was 1.424 (95% confidence interval [ CI]: 1.041-1.949), while the adjusted hazard ratio for 1-year mortality was 1.313 (95% CI: 1.026-1.679). Subgroup analyses and external validation supported these findings. Cytological experiments suggested that low chloride levels may activate the phosphorylation of the NF-κB signaling pathway, promote the expression of pro-inflammatory cytokines, and reduce neuronal cell viability. CONCLUSION Low serum chloride levels are independently associated with increased mortality in patients with hepatic coma.
Humans ; Male ; Female ; Middle Aged ; Intensive Care Units ; Prognosis ; Chlorides/blood* ; Aged ; Coma/blood* ; Adult

Viral myocarditis(VMC)is the leading cause of dilated cardiomyopathy,which can lead to heart failure and sudden cardiac death.With the development of high-throughput sequencing technology,non-coding RNA(ncRNA)plays an important role in the occurrence and development of VMC.ncRNA promotes the occurrence and development of VMC by regulating viral replication,immune cell function,myocardial cell death,myocardial interstitial fibrosis,and other pathological processes.This article reviews the research progress of ncRNA in VMC and provides new ideas for the pathogenesis,diagnosis,and treatment of VMC.

Objective As a new type of N-methyl-D-aspartic acid(NMDA)receptor antagonist,esmolamine has the same pharmacological mechanism and site as ketamine,but its affinity to NMDA receptor is 3-4 times that of ketamine,and its analgesic effect is 2-2.5 times that of ketamine.Postoperative cognitive dysfunction is the most common complication in elderly patients undergoing anesthesia and surgery.The incidence is higher in elderly patients over 65 years old,which seriously affects the quality of postoperative recovery and increases the medical burden.It is one of the clinical problems to be solved urgently.In recent years,with the clinical application of esmolamine,it has been found that intraoperative use of esmolamine can make the hemodynamics of surgical patients more stable,reduce the release of inflammatory factors and reduce the incidence of postoperative cognitive impairment.This article reviews the research progress of the effect of esmolamine on postoperative cognitive dysfunction in the field of clinical and basic research at home and abroad,in order to provide clinical reference.

Objective To explore the mechanism of tumor-associated fibroblasts(CAFs)for regulating proliferation and migration of prostate cancer(PCa)cells.Methods We conducted a bioinformatics analysis to identify miRNAs with high expression in PCa.The proliferation,migration and hsa-miR-18b-5p expression levels were observed in PCa cells co-cultured with CAFs.We further examined hsa-miR-18b-5p expression level in 20 pairs of PCa and adjacent tissue samples and in different PCa cell lines and normal epithelial cells using RT-qPCR.In PCa cell lines C4-2 and LNCAPNC,the effects of transfection with a hsa-miR-18b-5p inhibitor on cell proliferation,migration,invasion,drug resistance,apoptosis and cell cycle were evaluated,and the effects of has-miR-18b-5p knockdown on C4-2 cell xenograft growth and mouse survival were observed in nude mice.Dual luciferase reporter gene assay was used to validate the targeting relationship between hsa-miR-18b-5p and its target genes,whose expressions were detected in PCa cells using RT-qPCR and Western blotting.Results The expression of hsa-miR-18b-5p was significantly increased in the co-culture of CAFs and PCa cell lines,which exhibited significantly enhanced proliferation and migration abilities.Transfection with has-miR-18b-5p inhibitor strongly attenuated the effect of CAFs for promoting proliferation and migration of PCa cells,and in C4-2 and LNCAP cells cultured alone,inhibition of hsa-miR-18b-5p obviously suppressed cell proliferation,migration,invasion,and drug resistance.In the tumor-bearing mice,hsa-miR-18b-5p knockdown in the transplanted cells significantly inhibited xenograft growth and increased the survival time of the mice.Target gene prediction suggested that FBXL3 was a potential target of hsa-miR-18b-5p,and dual luciferase reporter gene confirmed a binding site between them.In C4-2 and LNCAP cells,hsa-miR-18b-5p knockdown resulted in significantly increased expression levels of FBXL3.Conclusion CAFs promotes proliferation and migration of PCa cells by up-regulating hsa-miR-18b-5p to suppress FBXL3 expression.

Objective To explore the mechanism of tumor-associated fibroblasts(CAFs)for regulating proliferation and migration of prostate cancer(PCa)cells.Methods We conducted a bioinformatics analysis to identify miRNAs with high expression in PCa.The proliferation,migration and hsa-miR-18b-5p expression levels were observed in PCa cells co-cultured with CAFs.We further examined hsa-miR-18b-5p expression level in 20 pairs of PCa and adjacent tissue samples and in different PCa cell lines and normal epithelial cells using RT-qPCR.In PCa cell lines C4-2 and LNCAPNC,the effects of transfection with a hsa-miR-18b-5p inhibitor on cell proliferation,migration,invasion,drug resistance,apoptosis and cell cycle were evaluated,and the effects of has-miR-18b-5p knockdown on C4-2 cell xenograft growth and mouse survival were observed in nude mice.Dual luciferase reporter gene assay was used to validate the targeting relationship between hsa-miR-18b-5p and its target genes,whose expressions were detected in PCa cells using RT-qPCR and Western blotting.Results The expression of hsa-miR-18b-5p was significantly increased in the co-culture of CAFs and PCa cell lines,which exhibited significantly enhanced proliferation and migration abilities.Transfection with has-miR-18b-5p inhibitor strongly attenuated the effect of CAFs for promoting proliferation and migration of PCa cells,and in C4-2 and LNCAP cells cultured alone,inhibition of hsa-miR-18b-5p obviously suppressed cell proliferation,migration,invasion,and drug resistance.In the tumor-bearing mice,hsa-miR-18b-5p knockdown in the transplanted cells significantly inhibited xenograft growth and increased the survival time of the mice.Target gene prediction suggested that FBXL3 was a potential target of hsa-miR-18b-5p,and dual luciferase reporter gene confirmed a binding site between them.In C4-2 and LNCAP cells,hsa-miR-18b-5p knockdown resulted in significantly increased expression levels of FBXL3.Conclusion CAFs promotes proliferation and migration of PCa cells by up-regulating hsa-miR-18b-5p to suppress FBXL3 expression.

Connectomics, a research field in neuroscience studying the synaptic connectivity patterns between neurons across different brain regions, is crucial for understanding neural computations underlying complex functions such as emotion, learning, and cognition. Specifically, micrometer-resolution mesoscale connectomics has become the most widely used technology in rodent neuroscience due to its unique advantages, and it also has the potential to transform brain research in non-human primates. Traditional mesoscale connectome techniques typically use fluorescence labeling and optical imaging to perform anterograde or retrograde tracing of neural circuits. To achieve single-cell resolution, methods for sparse labeling of neurons have been developed. However, it remains challenging to trace neurons in high throughput in individual animals and integrate multi-omics data across modalities. In the past decade, high-throughput mesoscale connectome technologies based on DNA barcoding have made significant progress. These technologies have provided novel tools to map single cell connectome, with higher throughput, lower cost, and multi-omics compatibility. Here we review several mature mesoscale connectome technologies based on DNA barcoding, discussing their principles, applications, advantages and disadvantages. We also propose future directions for barcoding-based connectomics.

Objective To explore the efficiency of artificial intelligence and radiomics-assisted X-ray in diagnosis of lumbar osteoporotic vertebral compression fractures(OVCF).Methods The clinical data of 455 patients diagnosed as lumbar OVCF by MRI in our hospital were selected.The patients were divided into the training group(n=364)and the validation group(n=91),X-ray films were extracted,the image delineation,feature extraction and data analysis were carried out,and the artificial intelligence radiomics deep learning was applied to establish a diagnostic model for OVCF.After verifying the effectiveness of the model by receiver operating characteristic(ROC)curve,area under the curve(AUC),calibration curve,and decision curve analysis(DCA),the efficiencies of manual reading,model reading,and model-assisted manual reading of X-ray in the early diagnosis of OVCF were compared.Results The ROC curve,AUC and calibration curve proved that the model had good discrimination and calibration,and excellent diagnostic performance.DCA demonstrated that the model had a higher clinical net benefit.The diagnostic efficiency of the manual reading group:the accuracy rate was 0.89,the recall rate was 0.62.The diagnostic efficiency of the model reading group:the accuracy rate was 0.93,the recall rate was 0.86,the model diagnosis showed good predictive performance,which was significantly better than the manual reading group.The diagnostic efficiency of the model-assisted manual reading group:the accuracy rate was 0.92,the recall rate was 0.72,and the recall rate of the model-assisted manual reading group was higher than that of the manual reading group,but lower than that of the model reading group,indicating the superiority of the model diagnosis.Conclusion The diagnostic model established based on artificial intelligence and radiomics in this study has reached an ideal level of efficacy,with better diagnostic efficacy compared with manual reading,and can be used to assist X-ray in the early diagnosis of OVCF.

Objective To develop a clinical prediction model for predicting risk factors for prolonged hospital stay after anterior cervical discectomy and fusion(ACDF).Methods The clinical data of 914 patients underwent ACDF treatment for cervical spondylotic myelopathy(CSM)were retrospectively analyzed.According to the screening criteria,800 eligible patients were eventually included,and the patients were divided into the development cohort(n=560)and the validation cohort(n=240).LASSO regression was used to screen variables,and multivariate Logistic regression analysis was used to establish a prediction model.The prediction model was evaluated from three aspects:differentiation,calibration and clinical effectiveness.The performance of the model was evaluated by area under the curve(AUC)and Hosmer-Lemeshow test.Decision curve analysis(DCA)was used to evaluate the clinical effectiveness of the model.Results In this study,the five factors that were significantly associated with prolonged hospital stay were male,abnormal BMI,mild-to-moderate anemia,stage of surgery(morning,afternoon,evening),and alcohol consumption history.The AUC of the development cohort was 0.778(95%CI:0.740 to 0.816),with a cutoff value of 0.337,and that of the validation cohort was 0.748(95%CI:0.687 to 0.809),with a cutoff value of 0.169,indicating that the prediction model had good differentiation.At the same time,the Hosmer-Lemeshow test showed that the model had a good calibration degree,and the DCA proved that it was effective in clinical application.Conclusion The prediction model established in this study has excellent comprehensive performance,which can better predict the risk of prolonged hospital stay,and can guide clinical intervention as soon as possible,so as to minimize the postoperative hospital stay and reduce the cost of hospitalization.