Background: The atherogenic index of plasma (AIP) has been proposed as a novel biomarker predictor for dyslipidemia and has been linked to various diseases. In this study, we explored the relationship between AIP levels and cognitive impairment in a middle-aged and older population.
Methods: This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS) for 7,918 individuals aged 45 and older. The AIP was calculated as the logarithmic ratio of triglycerides to high-density lipoprotein cholesterol. To assess the relationship between the AIP and cognitive impairment, logistic regression models were employed, while restricted cubic spline analysis was conducted to explore potential non-linear associations between AIP levels and cognitive impairment.
Results: The study participants had a mean age of 58.4 ± 8.8 years, and 49.1% were female. From 2011 to 2018, 2,911 participants (36.8%) developed cognitive impairment. After adjusting for potential confounders, the AIP was found to be significantly associated with cognitive impairment. In particular, participants in the higher AIP quartiles (Q2: odds ratio [OR]: 1.45, 95% confidence interval [CI]: 1.24-1.69, < 0.001, Q3: OR: 1.63, 95% CI: 1.40-1.91, < 0.001, and Q4: OR: 1.68, 95% CI: 1.43-1.98, < 0.001) showed an increased risk of cognitive impairment compared to those in the lowest quartile (Q1). Additionally, a non-linear relationship was observed between AIP levels and cognitive impairment risk (P for nonlinear < 0.001).
Conclusion: The study finds that elevated AIP levels are linked to an increased risk of cognitive impairment in middle-aged and older adults, suggesting that managing dyslipidemia could help reduce this risk.
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http://dx.doi.org/10.3389/fnagi.2025.1506973 | DOI Listing |
Front Mol Neurosci
February 2025
Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States.
Introduction: Individuals with Down syndrome (DS) exhibit neurological deficits throughout life including the development of in Alzheimer's disease (AD) pathology and cognitive impairment. At the cellular level, dysregulation in neuronal gene expression is observed in postmortem human brain and mouse models of DS/AD. To date, RNA-sequencing (RNA-seq) analysis of hippocampal neuronal gene expression including the characterization of discrete circuit-based connectivity in DS remains a major knowledge gap.
View Article and Find Full Text PDFBackground And Aims: Alzheimer's disease (AD) is a widespread neurodegenerative condition that has a growing impact on a global scale. This study aims to examine the relationship between cerebral blood flow (CBF) and the synaptic biomarker growth-associated protein 43 (GAP-43) through the utilization of arterial spin labeling (ASL). The research identified noteworthy correlations between cerebrospinal fluid (CSF) GAP-43 levels, CBF, and cognitive composite scores, especially among participants with mild cognitive impairment (MCI) who possess the APOE-ε4 gene.
View Article and Find Full Text PDFBrain Commun
February 2025
National Dementia BioBank, AMPAEYDEN A.C., and Federación Mexicana de Alzheimer, Estado de México CP 54743, México.
Alzheimer's disease is characterized by progressive memory loss and deterioration of cognitive functions. The presence of neurofibrillary tangles in the hippocampal areas (perforant pathway) correlates with cognitive impairment. Pathological processing of tau protein is characterized by post-translational changes such as hyperphosphorylation and truncation, which favour conformational changes within tau.
View Article and Find Full Text PDFFront Neurosci
February 2025
Centre for Brain Research, Indian Institute of Science (IISc), Bengaluru, Karnataka, India.
Introduction: Mild cognitive impairment (MCI), often linked to early neurodegeneration, is associated with subtle disruptions in brain connectivity. In this paper, the applicability of persistent homology, a cutting-edge topological data analysis technique is explored for classifying MCI subtypes.
Method: The study examines brain network topology derived from fMRI time series data.
Front Aging Neurosci
February 2025
Department of Emergency, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China.
Background: The atherogenic index of plasma (AIP) has been proposed as a novel biomarker predictor for dyslipidemia and has been linked to various diseases. In this study, we explored the relationship between AIP levels and cognitive impairment in a middle-aged and older population.
Methods: This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS) for 7,918 individuals aged 45 and older.
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