Journal of Alzheimer's Disease最新文献

The increase in the incidence of dementia over the last century correlates strongly with the increases in post-reproductive lifespan during this time. As post-reproductive lifespan continues to increase it is likely that the incidence of dementia will also increase unless therapies are developed to prevent, slow or cure dementia. A growing body of evidence implicates age-related endocrine dyscrasia and the length of time that the brain is subjected to this endocrine dyscrasia, as a key causal event leading to the cognitive decline associated with aging and Alzheimer's disease (AD), the major form of dementia in our society. In particular, the elevations in circulating gonadotropins, resulting from the loss of gonadal sex hormone production with menopause and andropause, appear central to the development of AD neuropathology and cognitive decline. This is supported by numerous cell biology, preclinical animal, and epidemiological studies, as well as human clinical studies where suppression of circulating luteinizing hormone and/or follicle-stimulating hormone with either gonadotropin-releasing hormone analogues, or via physiological hormone replacement therapy, has been demonstrated to halt or significantly slow cognitive decline in those with AD. This review provides an overview of past and present studies demonstrating the importance of hypothalamic-pituitary-gonadal hormone balance for normal cognitive functioning, and how targeting age-related endocrine dyscrasia with hormone rebalancing strategies provides an alternative treatment route for those with AD.

Background: Aggregated forms of the amyloid-β (Aβ) peptides which form protofibrils and fibrils in the brain are signatures of Alzheimer's disease (AD). Aggregates are also recognized by microglia, which in early phases maybe protective and in later phases contribute to the pathology. We have identified several small molecules, decoys which interfere with Aβ oligomerization and induce other aggregation trajectories leading to aggregated macrostructures which are non-toxic.

Objective: This study investigates whether the small-molecule decoys affect microglial activation in terms of cytokine secretion and phagocytosis of Aβ peptide.

Methods: The effects of the decoys (NSC 69318, NSC 100873, NSC 16224) were analyzed in a model of human THP-1 monocytes differentiated to microglia-like cells. The cells were activated by Aβ40 and Aβ42 peptides, respectively, and after treatment with each decoy the secreted levels of pro-inflammatory cytokines and the Aβ phagocytosis were analyzed.

Results: NSC16224, which generates a double-stranded aggregate of thin protofibrils, was found to block Aβ40- and Aβ42-induced increase in microglial secretion of pro-inflammatory cytokines. NSC 69318, selective for neurotoxicity of Aβ42, and NSC 100873 did not significantly reduce the microglial activation in terms of cytokine secretion. The uptake of Aβ42 was not affected by anyone of the decoys.

Conclusions: Our findings open the possibility that the molecular decoys of Aβ aggregation may block microglial activation by Aβ40 and Aβ42 in addition to blocking neurotoxicity as shown previously.

Background: As a natural antioxidant, uric acid has neuroprotective effects. The association between uric acid levels and dementia risk was reported by previous studies. However, recently published studies showed that the relationship between uric acid and dementia risk might be heterogeneous in dementia subtypes.

Objective: This study aimed to clarify the relationship between hyperuricemia (or gout) and dementia.

Methods: The PubMed and Web of Science databases were systematically searched up to April 2024 to identify relevant studies. A meta-analysis was conducted using hazard ratios (HR) or odds ratios (OR) and 95% confidence interval (CI) as pooled indicators. Heterogeneity between the studies was examined using Cochran's Q statistic and I2 statistic. Subgroup analyses were conducted for gender and age. Stratification analysis, sensitivity analyses and meta-regression were conducted to explore possible explanations for heterogeneity. Publication bias was assessed by funnel plot and Egger's test.

Results: A total of 11 studies met the inclusion criteria including 2,928,152 participants were abstracted. Hyperuricemia (or gout) did not reduce the overall risk of dementia (OR/HR = 0.92, 95% CI: 0.81-1.05) and vascular dementia (OR/HR = 0.74, 95% CI: 0.53-1.05), but may have a protective effect against Alzheimer's disease (OR/HR = 0.82, 95% CI: 0.70-0.96). Subgroup analysis showed that a lower risk of dementia was observed in men (OR/HR = 0.83, 95% CI: 0.77-0.90) and patients whose age under 65 (OR/HR = 0.83, 95% CI: 0.72-0.95).

Conclusions: Patients with gout or hyperuricemia have a low risk of Alzheimer's disease.

Background: Bridging integrator 1 (BIN1) gene polymorphism has been reported to play a role in the pathological processes of Alzheimer's disease (AD).

Objective: To explore the association of BIN1 loci with neuroinflammation and AD pathology.

Methods: Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 495) was the discovery cohort, and Chinese Alzheimer's Biomarker and LifestylE (CABLE, N = 619) study was used to replicate the results. Two BIN1 gene polymorphism (rs7561528 and rs744373) were included in the analysis. Multiple linear regression model and causal mediation analysis conducted through 10,000 bootstrapped iterations were used to examine the BIN1 loci relationship with cerebrospinal fluid (CSF) AD biomarkers and alternative biomarker of microglial activation microglia-soluble triggering receptor expressed on myeloid cells 2 (sTREM2).

Results: In ADNI database, we found a significant association between BIN1 loci (rs7561528 and rs744373) and levels of CSF phosphorylated-tau (P-tau) (pc = 0.017; 0.010, respectively) and total-tau (T-tau) (pc = 0.011; 0.013, respectively). The BIN1 loci were also correlated with CSF sTREM2 levels (pc = 0.010; 0.008, respectively). Mediation analysis demonstrated that CSF sTREM2 partially mediated the association of BIN1 loci with P-tau (Proportion of rs7561528 : 20.8%; Proportion of rs744373 : 24.8%) and T-tau (Proportion of rs7561528 : 36.5%; Proportion of rs744373 : 43.9%). The analysis in CABLE study replicated the mediation role of rs7561528.

Conclusions: This study demonstrated the correlation between BIN1 loci and CSF AD biomarkers as well as microglia biomarkers. Additionally, the link between BIN1 loci and tau pathology was partially mediated by CSF sTREM2.

Background: Post-diagnostic care for people with vascular cognitive impairment (VCI) typically involves multiple professions and disjointed care pathways not specifically designed to aid VCI needs.

Objective: Exploring perspectives of healthcare professionals on post-diagnostic care for people with VCI.

Methods: We conducted a qualitative focus group study. We used purposive sampling to include healthcare professionals in different compositions of primary and secondary care professionals per focus group. Thematic saturation was reached after seven focus groups. Transcripts were iteratively coded and analyzed using inductive thematic analysis.

Results: Forty participants were included in seven focus groups (4-8 participants). Results showed knowledge and awareness of VCI as prerequisites for adequate post-diagnostic care, and for pre-diagnostic detection of people with VCI (theme 1). In light of perceived lack of differentiation between cognitive disorders, participants shared specific advice regarding post-diagnostic care for people with VCI and informal caregivers (theme 2). Participants thought current care for VCI was fragmented and recommended further integration of care and collaboration across settings (theme 3).

Conclusions: People with VCI and their caregivers risk getting stuck in a "no man's land" between post-diagnostic care pathways; challenges lie in acknowledgement of VCI and associated symptoms, and alignment between healthcare professionals. Education about the symptoms and consequences of VCI, to healthcare professionals, people with VCI and caregivers, may increase awareness of VCI and thereby better target care. Specific attention for symptoms common in VCI could further tailor care and reduce caregiver burden. Integration could be enhanced by combining expertise of dementia and stroke/rehabilitation pathways.

Background: The widespread exposure to plastic products and the increasing number of individuals with cognitive impairments have imposed a heavy burden on society.

Objective: This study aims to investigate the relationship between plastic product exposure in daily life and cognitive function in older Chinese individuals.

Methods: Data were obtained from the 2023 Ningxia Older Psychological Health Cohort, comprising 4045 participants aged 60 and above. Cognitive function was assessed using the Mini-Mental State Examination scale. A population-based plastic exposure questionnaire was used to calculate plastic exposure scores (PES). Binary logistic regression was employed to analyze the relationship between PES and cognitive function, while restricted cubic splines were used to examine the dose-response relationship between PES and cognitive function. Latent profile analysis (LPA) was employed to explore the potential patterns of plastic exposure, and logistic regression was used to investigate the relationship between different exposure patterns and cognitive function. A linear regression model was utilized to investigate the relationship between PES and different dimensions of cognitive function.

Results: Among the 4045 participants, 1915 individuals were assessed with mild cognitive impairment (MCI). After adjusting for all covariates, PES (OR = 1.04, 95% CI 1.02-1.06) was significantly associated with the risk of MCI and exhibited a dose-response relationship. LPA identified two potential categories of plastic exposure, with a higher risk of MCI observed in the group using plastic utensils.

Conclusions: This study indicates a positive correlation between plastic exposure levels and MCI risk, particularly among individuals who frequently use plastic tableware.

Background: Identifying high-risk individuals with mild cognitive impairment (MCI) who are likely to progress to Alzheimer's disease (AD) is crucial for early intervention.

Objective: This study aimed to develop and validate a novel clinical score for personalized estimation of MCI-to-AD conversion.

Methods: The data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study were analyzed. Two-thirds of the MCI patients were randomly assigned to a training cohort (n = 478), and the remaining one-third formed the validation cohort (n = 239). Multivariable logistic regression was performed to identify factors associated with MCI-to-AD progression within 4 years. A prediction score was developed based on the regression coefficients derived from the logistic model and tested in the validation cohort.

Results: A lipidomics-signature was obtained that showed a significant association with disease progression. The MCI conversion scoring system (ranged from 0 to 14 points), consisting of the lipidomics-signature and five other significant variables (Apolipoprotein ɛ4, Rey Auditory Verbal Learning Test immediate and delayed recall, Alzheimer's Disease Assessment Scale delayed recall test, Functional Activities Questionnaire, and cortical thickness of the AD signature), was constructed. Higher conversion scores were associated with a higher proportion of patients converting to AD. The scoring system demonstrated good discrimination and calibration in both the training cohort (AUC = 0.879, p of Hosmer-Lemeshow test = 0.597) and the validation cohort (AUC = 0.915, p of Hosmer-Lemeshow test = 0.991). The risk classification achieved excellent sensitivity (0.84) and specificity (0.75).

Conclusions: The MCI-to-AD conversion score is a reliable tool for predicting the risk of disease progression in individuals with MCI.

Background: The fractional amplitude of low-frequency fluctuations (fALFFs) can detect spontaneous brain activity. However, the association between abnormal brain activity and cognitive function, amyloid protein (Aβ), and emotion in Alzheimer's disease (AD) patients remains unclear.

Objective: This study aimed to survey alterations in fALFF in different frequency bands and the relationship between abnormal brain activity, depressive mood, and cognitive function to determine the potential mechanism of AD.

Methods: We enrolled 34 AD patients and 32 healthy controls (HC). All the participants underwent resting-state magnetic resonance imaging, and slow-4 and slow-5 fALFF values were measured. Subsequently, the study determined the correlation of abnormal brain activity with mood and cognitive function scores.

Results: AD patients revealed altered mfALFF values in the slow-5 and slow-4 bands. In the slow-4 band, the altered mfALFF regions were the right cerebellar crus I, right inferior frontal orbital gyrus (IFOG), right supramarginal gyrus, right precuneus, angular gyrus, and left middle cingulate gyrus. Elevated mfALFF values in the right IFOG were negatively associated with Montreal Cognitive Assessment scores, Boston Naming Test, and Aβ1-42 levels. The mfALFF value of the AD group was lower than the HC group in the slow-5 band, primarily within the right inferior parietal lobule and right precuneus.

Conclusions: Altered mfALFF values in AD patients are linked with cognitive dysfunction. Compared with HCs, Aβ1-42 levels in AD patients are related to abnormal IFOG activity. Therefore, mfALFF could be a potential biomarker of AD.

Biomarkers that accurately identify mild cognitive impairment (MCI) are of greater importance for Alzheimer's disease (AD) management and treatment. On the other hand, blood-based biomarkers are not only more practical but also less invasive than the common cerebrospinal fluid biomarkers. In their report in the Journal of Alzheimer's Disease, Wang and collaborators identified 67 upregulated and 220 downregulated long noncoding RNAs (lncRNAs). They further demonstrated that 4 of these lncRNAs could discriminate MCI from cognitively healthy individuals. Apart from their significance as potential biomarkers for MCI diagnosis, these lncRNAs can offer additional information on the cellular mechanisms of AD pathology.

Background: Sigma-1 receptors are highly expressed in brain areas related to cognitive function and are a promising target for anti-amnesic treatments. We previously showed that activation of sigma-1 receptors by the selective agonist compound methyl(1 R,2 S/1 S,2 R)-2-[4-hydroxy-4-phenylpiperidin-1-yl)methyl]-1-(4-methylphenyl) cyclopropane carboxylate [(±)-PPCC] promotes a remarkable recovery in rat models of memory loss associated to cholinergic dysfunction.

Objective: In this study, we sought to assess the role of (±)-PPCC on working memory deficits caused by noradrenergic depletion.

Methods: Animals with a mild or severe working memory deficits associated to varying degrees of noradrenergic neuronal depletion were treated with the sigma-1 agonist just prior to the beginning of each behavioral testing session.

Results: While (±)-PPCC alone at a dose of 1 mg/kg/day failed to affect working memory in lesioned animals, its association with the α2 adrenergic receptor agonist clonidine, completely blocked noradrenaline release, significantly improving rat performance. This effect, distinct from noradrenaline activity, is likely to result from a direct action of the (±)-PPCC compound onto sigma-1 receptors, as pre-treatment with the selective sigma-1 receptor antagonist BD-1047 reversed the improved working memory performance. Despite such clear functional effects, the treatment did not affect noradrenergic neuron survival or terminal fiber proliferation.

Conclusions: Future studies are thus necessary to address the effects of long-lasting (±)-PPCC treatment, with or without clonidine, on cognitive abilities and Alzheimer's disease-like histopathology. Considering the already established involvement of sigma-1 receptors in endogenous cell plasticity mechanisms, their activation by selective agonist compounds holds promises as possibly positive contributor to disease-modifying events in neurodegenerative diseases.