Distinctive subgingival microbial signatures in older adults with different levels of cognitive function.

AIM: To examine association between subgingival microbial signatures and levels of cognitive impairment in older adults. MATERIALS AND METHODS: We analysed subgingival plaque samples and 16S ribosomal RNA sequences for microbiota among 165 participants (normal controls [NCs]: 40, subjective cognitive decline [SCD]: 40, mild cognitive impairment [MCI]: 49 and dementia: 36). RESULTS: The bacterial richness was lower among individuals with worse cognitive function, and subgingival microbial communities differed significantly among the four groups. Declining cognitive function was associated with decreasing relative abundance of genera Capnocytophaga, Saccharibacteria_genera_incertae_sedis, Lautropia and Granulicatella, and increasing abundance of genus Porphyromonas. Moreover, there were differentially abundant genera among the groups. Random forest model based on subgingival microbiota could distinguish between cognitive impairment and NC (AUC = 0.933, 95% confidence interval 0.873-0.992). Significant correlations were observed between oral microbiota and sex, Montreal Cognitive Assessment (MoCA) score and Mini-Mental State Examination score. Partial correlation analysis showed that Leptotrichia and Burkholderia were closely negatively associated with the MoCA score after adjusting for multiple covariates. Gene function was not significantly different between SCD and NC groups, whereas three homozygous genes were altered in MCI patients and two in dementia patients. CONCLUSIONS: This is the first study to demonstrate an association between the composition, function and metabolic pathways of subgingival microbiota and different levels of cognitive function among older individuals. Future cohort studies should assess its diagnostic usefulness for cognitive impairment.

Classifying self-management clusters of patients with mild cognitive impairment associated with diabetes: A cross-sectional study.

AIMS AND OBJECTIVES: This study aims to propose a self-management clusters classification method to determine the self-management ability of elderly patients with mild cognitive impairment (MCI) associated with diabetes mellitus (DM). BACKGROUND: MCI associated with DM is a common chronic disease in old adults. Self-management affects the disease progression of patients to a large extent. However, the comorbidity and patients' self-management ability are heterogeneous. DESIGN: A cross-sectional study based on cluster analysis is designed in this paper. METHOD: The study included 235 participants. The diabetes self-management scale is used to evaluate the self-management ability of patients. SPSS 21.0 was used to analyse the data, including descriptive statistics, agglomerative hierarchical clustering with Ward's method before k-means clustering, k-means clustering analysis, analysis of variance and chi-square test. RESULTS: Three clusters of self-management styles were classified as follows: Disease neglect type, life oriented type and medical dependence type. Among all participants, the percentages of the three clusters above are 9.78%, 32.77% and 57.45%, respectively. The difference between the six dimensions of each cluster is statistically significant. CONCLUSION(S): This study classified three groups of self-management styles, and each group has its own self-management characteristics. The characteristics of the three clusters may help to provide personalized self-management strategies and delay the disease progression of MCI associated with DM patients. RELEVANCE TO CLINICAL PRACTICE: Typological methods can be used to discover the characteristics of patient clusters and provide personalized care to improve the efficiency of patient self-management to delay the progress of the disease. PATIENT OR PUBLIC CONTRIBUTION: In our study, we invited patients and members of the public to participate in the research survey and conducted data collection.

Maintenance effects of short-period intensive creative expressive arts-based program (SPI-CrEAS) on cognitive function older adults with mild cognitive impairment: A pilot study.

OBJECTIVES: To assess the maintenance effectiveness of a short-period intensive creative expressive arts-based storytelling (SPI-CrEAS) program in older patients with mild cognitive impairment (MCI). METHODS: This two-arm, single-blinded, pilot, randomized controlled trial was conducted at XXX and included 38 participants who had previously completed a 24-week CrEAS project. Eligible participants were randomly assigned to receive intensive CrEAS program twice weekly for an additional 12 weeks (short-period intensive [SPI]-CrEAS) or complete their daily activities (control group). Linear mixed-model regression was used to analyze baseline and intra-group and inter-group comparisons at different follow-up periods. RESULTS: At the 12-week follow-up, verbal function (Verbal Fluency Test, P=0.021) improved significantly in the SPI-CrEAS group compared with the control group. The cognitive benefits of SPI-CrEAS were sustained with twice-weekly training for 3 months, lasting for up to 9 months. CONCLUSIONS: The initial cognitive improvement following CrEAS was sustained at follow-up and boosted by SPI-CrEAS.

Investigating the association between inflammation mediated by mushroom consumption and mild cognitive impairment in Chinese older adults.

Background: Chronic inflammatory stimulation is a major risk factor for mild cognitive impairment. Mushroom consumption and inflammatory factors may play an important role in the pathogenesis of mild cognitive impairment. Additionally, consuming mushrooms can reduce the levels of inflammatory cytokines and preserve cognitive function. Therefore, this study aimed to investigate the relationship between mushroom consumption and serum inflammatory cytokines and mild cognitive impairment (MCI). Methods: Binary logistic regression was used to determine the relationship between mushroom consumption and MCI in 550 participants. Subsequently, mediation analysis was used to analyze the relationship between mushroom consumption, inflammatory factors, and the Montreal Cognitive assessment (MoCA) score in 248 participants. Results: Mushroom consumption was associated with MCI (odds ratio = 0.623, 95% confidence interval = 0.542-0.715, P < 0.001). The association between mushroom intake and MCI was mediated by interleukin-6 (IL-6) and hypersensitive C-reactive protein (hs-CRP), and the MoCA score was 12.76% and 47.59%, respectively. Conclusion: A high intake of mushrooms was associated with a low risk of MCI. Serum inflammatory factors including IL-6 and hs-CRP play a partial mediating role between mushroom intake and the MoCA score, and the underlying mechanism needs to be further explored.