Objective: To investigate the incidence and influencing factors of falls among the elderly in Ningbo City, Zhejiang Province, so as to provide the basis for developing effective prevention strategies. Methods: The residents aged 60 years and above in Haishu District and Yuyao City of Ningbo City were selected by the multi-stage cluster random sampling method from June to October 2022. Demographic information, fall incidence in the past year, history of disease and self-rated health were collected through questionnaire surveys. Incidence of falls was descriptively analyzed, and factors affecting falls were identified using a multivariable logistic regression model stratified by gender and age. Results: A total of 1 275 elderly people were surveyed, including 635 men and 640 women. The median age was 72.00 (interquartile range, 13.00) years. In the past year, 158 residents fell, accounting for 12.39%. Additionally, 14 individuals experienced two or more falls, accounting for 8.86%. The incidence of falls was 14.69% in women, which was higher than the 10.08% in men (P<0.05). The incidence of falls was 14.86% in the elderly over 70 years, which was higher than the 9.39% in those aged 60 to 70 years (P<0.05). Multivariable logistic regression showed that the educational level (primary school and above, OR=0.501, 95%CI: 0.301-0.836), heart disease (present, OR=1.996, 95%CI: 1.076-3.703), and self-rated health status (good, OR=0.529, 95%CI: 0.319-0.875) were factors affecting falls in women; educational level (primary school and above, OR=0.514, 95%CI: 0.285-0.928) and self-rated health status (good, OR=0.456, 95%CI: 0.253-0.824) were factors affecting falls in residents aged 60 to 70 years. Conclusion Fall risk among the elderly is associated with gender, age, heart disease, educational level and self-rated health status, and the influencing factors for falls vary in different genders and ages.

Parkinson's disease (PD) is a kind of common degenerative diseases of the nervous system. Levodopa replacement therapy is the most important clinical treatment method. However, long-term use can lead to the occurrence of dyskinesia and seriously affect the quality of life of patients. The current treatment methods for PD dyskinesia include drug therapy and non-drug therapy; most patients with dyskinesia can got improvement well by adjusting the dosage of drugs, changing the methods of administration, combination medication, or surgical treatments. Based on this, this article reviews the latest research on the treatment of PD dyskinesia to further help clinical colleagues effectively treat PD dyskinesia.

Objective: : Kinesin family member C1 (KIFC1), a non-essential kinesin-like motor protein, has been found to serve a crucial role in supernumerary centrosome clustering and the progression of several human cancer types. However, the role of KIFC1 in glioma has been rarely reported. Thus, the present study aimed to investigate the role of KIFC1 in glioma progression. Methods: : Online bioinformatics analysis was performed to determine the association between KIFC1 expression and clinical outcomes in glioma. Immunohistochemical staining was conducted to analyze the expression levels of KIFC1 in glioma and normal brain tissues. Furthermore, KIFC1 expression was knocked in the glioma cell lines, U251 and U87MG, and the functional roles of KIFC1 in cell proliferation, invasion and migration were analyzed using cell multiplication, wound healing and Transwell invasion assays, respectively. The autophagic flux and expression levels matrix metalloproteinase-2 (MMP2) were also determined using imaging flow cytometry, western blotting and a gelation zymography assay. Results: : The results revealed that KIFC1 expression levels were significantly upregulated in glioma tissues compared with normal brain tissues, and the expression levels were positively associated with tumor grade. Patients with glioma with low KIFC1 expression levels had a more favorable prognosis compared with patients with high KIFC1 expression levels. In vitro, KIFC1 knockdown not only inhibited the proliferation, migration and invasion of glioma cells, but also increased the autophagic flux and downregulated the expression levels of MMP2. Conclusion : Upregulation of KIFC1 expression may promote glioma progression and KIFC1 may serve as a potential prognostic biomarker and possible therapeutic target for glioma.

Aging-induced changes in the immune system are associated with a higher incidence of infection and vaccination failure. Lymph nodes, which filter the lymph to identify and fight infections, play a central role in this process. However, careful characterization of the impact of aging on lymph nodes and associated autoimmune diseases is lacking. We combined single-cell RNA sequencing (scRNA-seq) with flow cytometry to delineate the immune cell atlas of cervical draining lymph nodes (CDLNs) of both young and old mice with or without experimental autoimmune uveitis (EAU). We found extensive and complicated changes in the cellular constituents of CDLNs during aging. When confronted with autoimmune challenges, old mice developed milder EAU compared to young mice. Within this EAU process, we highlighted that the pathogenicity of T helper 17 cells (Th17) was dampened, as shown by reduced GM-CSF secretion in old mice. The mitigated secretion of GM-CSF contributed to alleviation of IL-23 secretion by antigen-presenting cells (APCs) and may, in turn, weaken APCs' effects on facilitating the pathogenicity of Th17 cells. Meanwhile, our study further unveiled that aging downregulated GM-CSF secretion through reducing both the transcript and protein levels of IL-23R in Th17 cells from CDLNs. Overall, aging altered immune cell responses, especially through toning down Th17 cells, counteracting EAU challenge in old mice.
Aging ; Animals ; Autoimmune Diseases ; Disease Models, Animal ; Granulocyte-Macrophage Colony-Stimulating Factor/metabolism* ; Mice ; Mice, Inbred C57BL ; Th17 Cells/metabolism* ; Uveitis/pathology* ; Virulence

Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtype-specific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.
Adult ; Aged ; Aged, 80 and over ; Aging ; genetics ; immunology ; Betacoronavirus ; CD4-Positive T-Lymphocytes ; metabolism ; Cell Lineage ; Chromatin Assembly and Disassembly ; Coronavirus Infections ; immunology ; Cytokine Release Syndrome ; etiology ; immunology ; Cytokines ; biosynthesis ; genetics ; Disease Susceptibility ; Flow Cytometry ; methods ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Gene Rearrangement ; Humans ; Immune System ; cytology ; growth & development ; immunology ; Immunocompetence ; genetics ; Inflammation ; genetics ; immunology ; Mass Spectrometry ; methods ; Middle Aged ; Pandemics ; Pneumonia, Viral ; immunology ; Sequence Analysis, RNA ; Single-Cell Analysis ; Transcriptome ; Young Adult