Background: Microglial processing and recycling of debris is implicated in AD. AD GWAS loci are enriched for genes in efferocytosis, phagocytosis, endosomal trafficking and cholesterol efflux. Acting as a buffer, lipid droplets increase as a consequence of an imbalance between lipid debris influx and efflux rates. We hypothesize that a pivotal point in disease progression occurs when this buffering saturates, resulting in expanded lipid-droplet accumulating microglia (LDAM). We anticipate a positive-feedback effect where saturation accelerates neurodegeneration via inflammation and lipid processing via astrocytes. Susceptibility to this saturation may be connected to microglial AD GWAS loci-and would be reflected in progression rates. To explore this hypothesis, we analyzed lipidomic, proteomic, cognitive and genetic ADNI data to identify a signature indicative of this inflection point.
Method: We identified ADNI individuals in comparable states of disease progression, grouping them into ADAS13 (cognitive score) quartiles, then examined blood lipidomic and CSF proteomic data. This resulted in a cross-sectional dataset of 608 subjects spanning from cognitively normal to demented. We examined protein/lipid correlations across each quartile, identifying and characterizing inflection points.
Result: We observed a stark and unique pattern of correlations in individuals with an ADAS13 score range from 13 to 19. We observed two subpopulations that differed in their rate of disease progression. CSF proteins in the rapid progressors point to microglial lipid droplet signaling and the lactate shuttle. We observed key changes in plasmalogens and cholesterol esters with DHA fatty acid tails, both indicative of neuronal debris processing and reverse cholesterol transport, as well as changes in acylcarnitines-indicative of reduced lipid hydrolysis. We also found differential enrichment of specific AD GWAS loci between the fast and slow progressors.
Conclusion: Our analysis provides evidence for the importance of lipid droplet saturation coinciding with correlational changes in CSF proteins and plasma lipids, occurring in individuals transitioning from cognitively normal to MCI. We connected microglial AD GWAS loci to differences in the progression rates at this transition. These results have potential clinical relevance for predicting progression rate at MCI diagnosis, and inform our understanding of the role of GWAS loci in key transitions.
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http://dx.doi.org/10.1002/alz.092897 | DOI Listing |
HGG Adv
January 2025
Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Inherited genetics represents an important contributor to risk of esophageal adenocarcinoma (EAC), and its precursor Barrett's esophagus (BE). Genome-wide association studies have identified ∼30 susceptibility variants for BE/EAC, yet genetic interactions remain unexamined. To address challenges in large-scale G×G scans, we combined knowledge-guided filtering and machine learning approaches, focusing on genes with (A) known/plausible links to BE/EAC pathogenesis (n=493) or (B) prior evidence of biological interactions (n=4,196).
View Article and Find Full Text PDFActa Neuropathol Commun
January 2025
Department of Biological Sciences, Purdue University, 915 Mitch Daniels Blvd, West Lafayette, IN, USA.
Dementia refers to an umbrella phenotype of many different underlying pathologies with Alzheimer's disease (AD) being the most common type. Neuropathological examination remains the gold standard for accurate AD diagnosis, however, most that we know about AD genetics is based on Genome-Wide Association Studies (GWAS) of clinically defined AD. Such studies have identified multiple AD susceptibility variants with a significant portion of the heritability unexplained and highlighting the phenotypic and genetic heterogeneity of the clinically defined entity.
View Article and Find Full Text PDFNat Commun
January 2025
Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs & Fisheries college, Jimei University, Xiamen, Fujian, People's Republic of China.
Deep phenotyping can enhance the power of genetic analysis, including genome-wide association studies (GWAS), but the occurrence of missing phenotypes compromises the potential of such resources. Although many phenotypic imputation methods have been developed, the accurate imputation of millions of individuals remains challenging. In the present study, we have developed a multi-phenotype imputation method based on mixed fast random forest (PIXANT) by leveraging efficient machine learning (ML)-based algorithms.
View Article and Find Full Text PDFMicrocirculation
January 2025
Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Coronary microvascular disease (CMVD) affects the coronary pre-arterioles, arterioles, and capillaries and can lead to blood supply-demand mismatch and cardiac ischemia. CMVD can present clinically as ischemia or myocardial infarction with no obstructive coronary arteries (INOCA or MINOCA, respectively). Currently, therapeutic options for CMVD are limited, and there are no targeted therapies.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
First Operating Room, The First Hospital of Jilin University, Changchun, China. Electronic address:
Background: Certain peripheral proteins are believed to be involved in the development of Alzheimer's disease (AD), but the roles of other new protein biomarkers are still unclear. Current treatments aim to manage symptoms, but they are not effective in stopping the progression of the disease. New drug targets are needed to prevent Alzheimer's disease.
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