Objective: To examine the mediating effect of frailty on social isolation and cognitive function among the elderly. Methods: Demographic information, smoking, alcohol consumption and cognitive function of the elderly at ages of 60 years and older were collected from the China Health and Retirement Longitudinal Study 2020. Social isolation and frailty were evaluated using social isolation index and frailty index, respectively. The mediating effect of frailty on social isolation and cognitive function was analyzed using the Process program, and the significance of the mediating role was tested using the Bootstrap test. Results: A total of 2 822 individuals were enrolled, including 1 483 males (52.55%) and 1 339 females (47.45%). There were 2 497 (88.48%) and 325 (11.52%) individuals at ages of 60-<75 years and ≥75 years, respectively. The median cognitive function score was 14 (interquartile range, 16) points. There were 432 cases with social isolation (15.31%), with a median social isolation index of 10 (interquartile range, 5) points. The median frailty index was 0.11 (interquartile range, 0.15). There were 1 111 individuals without frailty, accounting for 39.37%; 1 214 individuals with pre-frailty, accounting for 43.02%; and 497 individuals with frailty, accounting for 17.61%. Mediating effect analysis showed that social isolation affected cognitive function directly and negatively with the effect value of -0.773 (95%CI: -0.899 to -0.647), and also affected cognitive function by frailty indirectly and negatively with the effect value of -0.147 (95%CI: -0.188 to -0.110), with the mediating effect contributed 15.98% of the total effect. Conclusion Frailty can directly or indirectly affect cognitive function among elderly through social isolation.

Objective:To investigate diagnostic and prognostic value of actin-binding protein ANLN in clear cell renal cell carcinoma(ccRCC)and its relationship with tumor microenvironment.Methods:Gene expression data and clinical data for ccRCC were downloaded from The Cancer Genome Atlas(TCGA).Relationship between ANLN expression and clinicopathological features was assessed by Wilcoxon rank sum test and Logistic regression.Receiver operating characteristic(ROC)curve was used to assess diagnostic value of ANLN expression in ccRCC.Kaplan-Meier and Cox regression analysis were used to investigate effect of ANLN expression on overall survival.Gene set enrichment analysis(GSEA)was used to identify signaling pathways associated with ANLN in ccRCC.Relationship between ANLN expression and immune infiltration was analyzed by ESTIMATE algorithm,tumor immune estima-tion resource(TIMER)and CIBERSORT algorithms.Relationship between ANLN and drug sensitivity was calculated using CellMiner database.Results:ANLN expression was significantly upregulated in ccRCC tissues.ANLN expression in ccRCC was correlated with clinicopathological features.ROC analysis showed that ANLN had a high diagnostic value in ccRCC.High ANLN expression was signifi-cantly associated with poor prognosis.Multivariate Cox regression analysis showed that high ANLN expression was an independent risk factor for overall survival in ccRCC patients.GSEA showed that ANLN was associated with multiple signaling pathways.In terms of immunity,ANLN was closely associated with tumor microenvironment,immune infiltration and immune checkpoint molecules in ccRCC.ANLN expression was negatively correlated with sensitivity of most antitumor drugs.Conclusion:ANLN is a potential diagnos-tic and prognostic biomarker and immunotherapeutic target for ccRCC.

Objective:To understand the regional prevalence and hotspot mutations through analysis of genetic screening results for newborns with pseudohypertrophic muscular dystrophy.Methods:A total of 22 813 newborns (12 065 males and 10 748 females) born at the Women's Hospital of Nanjing Medical University from March 18, 2022, to October 31, 2023, were selected. The Dystrophin gene ( DMD) was detected using chip capture next-generation sequencing technology, followed by bioinformatics analysis. Pathogenic mutations identified were validated using multiplex ligation-dependent probe amplification (MLPA) and Sanger sequencing. Serum creatine kinase levels were also tested in suspected male patients. Descriptive analysis was applied for this study. Results:Among the 10 748 girls, 14 carriers of DMD gene were detected (0.013%), of which, nine cases were validated in the family; one case was a de novo mutation, five were inherited from the mother, and three were inherited from the father. The screening identified nine suspected patients among the boys (0.075%), and eight of them were confirmed by family validation, in which three were de novo mutations, and five were inherited from the mother. Among all identified DMD mutations, deletions were the most common one, accounting for 52.2% (12/23), incluling four cases of deletion at 49-51 exon. Conclusions:Newborn genetic screening based on chip capture next-generation sequencing technology combined with bioinformatics analysis is helpful in early detection of patients and carriers of pseudohypertrophy muscular dystrophy. According to the preliminary statistics, the incidence rate of DMD/BMD in this area is 1/1 341 male infants and the hotspot mutation is exon 49 to 51 deletion.

Duchenne muscular dystrophy (DMD) is a severe neuromuscular genetic disorder characterized by progressive muscle atrophy, with most patients succumbing to heart or respiratory failure around the age of 20. This article systematically reviews the discovery, pathological research, diagnosis, and development of newborn screening for DMD. Since the 19th century, pioneers such as Bell, Conte, Meryon, Duchenne, and Gowers have laid the foundation for understanding this disease through their discoveries and descriptions of DMD. In the 1980s, molecular biology research further elucidated the pathological mechanisms of DMD and established diagnostic methods. Since the 1970s, newborn screening for DMD has flourished, evolving through various stages including creatine kinase testing, muscle-type creatine kinase isoenzyme testing, and genetic screening. With ongoing research, early screening and diagnostic protocols for DMD have been continuously refined and gradually implemented in clinical practice.

Objective:To investigated the relationship between magnetic resonance imaging(MRI)parameters and the molecular pathology of primary central nervous system lymphoma(PCNSL).Methods:We retrospectively analyzed 26 patients from The First Affiliated Hospital of Harbin Medical University between January 2020 and June 2023 classified into germinal center B-cell like(GCB)and non-germinal center B-cell like(non-GCB)groups based on cell origin,into Ki-67≥75%and<75%groups based on the Ki-67 index,into BCL-2+and BCL-2-groups based on BCL-2 expression,and into responsive and non-responsive groups based on their response to MAP+Bruton's tyrosine kinase inhib-itor(BTKi)treatment.We extracted and compared first-order parameters between the groups,including mean value,standard deviation,variance,coefficient of variation,skewness,kurtosis,and entropy from baseline MRI images.Results:Four parameters(variance,kurtosis,skewness,and coefficient of variation)showed no significant differences between groups.However,three parameters(mean,standard devi-ation,and entropy)significantly differed between the groups based on Ki-67 and BCL-2 expression.For the Ki-67 index,the three parameters'areas under the curve(AUC)were 0.731,0.831,and 0.913,respectively.For BCL-2 expression,the mean and standard deviation AUCs were 0.889 and 0.938,respectively.In addition,the mean and entropy parameters significantly differed between the groups categorized by cell origin and treatment responsiveness(P<0.05).Multi-parameter joint analysis demonstrated greater identification accuracy compared to util-izing individual quantitative parameters from texture analysis.Conclusions:The mean,standard deviation,and entropy MRI parameters can help predict Ki-67 and BCL-2 expression in patients with PCNSL and have evaluative functions for treatment.They are beneficial for preoper-ative non-invasive assessment of tumor malignancy,providing vidence for prognosis and treatment planning.

The pathogenesis of aplastic anemia(AA)is complex and associated with hematopoietic stem cell defect,abnormal bone marrow microenvironment,immune dysfunction,and somatic mutation,in which the immune mechanism plays an important role.This article reviews the pathogenesis of AA from the following aspects:regulatory T cell reduction,hematopoietic stem cell reduction caused by factor-related apoptosis/factor-related apoptosis ligand signaling pathway,aberrant target gene expression induced by inflammatory factor-stimulated microRNAs,and regulatory T cell dysfunction,so as to provide ideas and methods for clinical practice.

ObjectiveTo investigate the relationship of physical activity (PA) and cognitive function to sleep quality in older adults with cognitive impairment based on resting electroencephalogram (EEG), and to explore the mediating role of specific EEG markers in the relationship between PA and sleep quality. MethodsFrom March to May, 2024, 137 older adults were recruited from Chenfu Jiayuan and Qiangwei Jiuli in Songjiang district, and Luyan communities in Jinshan district, Shanghai. The assessments included Montreal Cognitive Assessment (MoCA), International Physical Activity Questionnaire-Short Form (IPAQ-SF) and Pittsburgh Sleep Quality Index (PSQI), along with a five-minute EEG recording. ResultsThere was significant difference in sleep quality among older adults with different levels of cognitive impairment (t = -7.400, P < 0.001). The PSQI total score was negatively correlated with MoCA scores (r = -0.412, P < 0.001) and total physical activity level (PAL) (r = -0.363, P < 0.001). The θ power in the frontal areas (F3, F4) was significantly correlated with both PSQI scores and PAL (P < 0.01). The θ power in F3 + F4 exhibited a significant partial (effect size = -0.0004, 95%CI -0.0007 to -0.0002) mediating effect between PA and sleep quality in older adults with cognitive impairment. ConclusionOlder adults with more severe cognitive impairment tend to have poorer sleep quality, whereas higher PAL is associated with better sleep quality. PA can indirectly influence sleep quality in older adults with cognitive impairment by affecting θ power (F3 + F4).