Cargando…

Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer’s Disease

BACKGROUND: The complex and not yet fully understood etiology of Alzheimer’s disease (AD) shows important proteopathic signs which are unlikely to be linked to a single protein. However, protein subsets from deep proteomic datasets can be useful in stratifying patient risk, identifying stage depende...

Descripción completa

Detalles Bibliográficos
Autores principales:	Tandon, Raghav, Levey, Allan I., Lah, James J., Seyfried, Nicholas T., Mitchell, Cassie S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	IOS Press 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041447/ https://www.ncbi.nlm.nih.gov/pubmed/36776048 http://dx.doi.org/10.3233/JAD-220683

Ejemplares similares

Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease
por: Ping, Lingyan, et al.
Publicado: (2018)

Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease
por: Ping, Lingyan, et al.
Publicado: (2020)

Network Analysis of a Membrane-Enriched Brain Proteome across Stages of Alzheimer’s Disease
por: Higginbotham, Lenora, et al.
Publicado: (2019)

Effects of APOE Genotype on Brain Proteomic Network and Cell Type Changes in Alzheimer's Disease
por: Dai, Jingting, et al.
Publicado: (2018)

Targeted mass spectrometry to quantify brain-derived cerebrospinal fluid biomarkers in Alzheimer’s disease
por: Zhou, Maotian, et al.
Publicado: (2020)

Targeted Quantification of Detergent-Insoluble RNA-Binding Proteins in Human Brain Reveals Stage and Disease Specific Co-aggregation in Alzheimer’s Disease
por: Guo, Qi, et al.
Publicado: (2021)

Predictors of Cognitive Decline in Healthy Middle-Aged Individuals with Asymptomatic Alzheimer’s Disease
por: Tandon, Raghav, et al.
Publicado: (2023)

Exploring the potential of the platelet membrane proteome as a source of peripheral biomarkers for Alzheimer's disease
por: Donovan, Laura E, et al.
Publicado: (2013)

Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease
por: Johnson, Erik C. B., et al.
Publicado: (2018)

Correction to: Exploring the potential of the platelet membrane proteome as a source of peripheral biomarkers for Alzheimer’s disease
por: Donovan, Laura E., et al.
Publicado: (2021)

Association of plasma and CSF cytochrome P450, soluble epoxide hydrolase, and ethanolamide metabolism with Alzheimer’s disease
por: Borkowski, Kamil, et al.
Publicado: (2021)

Multi-platform proteomic analysis of Alzheimer’s disease cerebrospinal fluid and plasma reveals network biomarkers associated with proteostasis and the matrisome
por: Dammer, Eric B., et al.
Publicado: (2022)

Integrated proteomics reveals brain-based cerebrospinal fluid biomarkers in asymptomatic and symptomatic Alzheimer’s disease
por: Higginbotham, Lenora, et al.
Publicado: (2020)

Identification and therapeutic modulation of a pro-inflammatory subset of disease-associated-microglia in Alzheimer’s disease
por: Rangaraju, Srikant, et al.
Publicado: (2018)

Neuronal LR11 Expression Does Not Differentiate between Clinically-Defined Alzheimer's Disease and Control Brains
por: Sager, Kristen L., et al.
Publicado: (2012)

Differential Phagocytic Properties of CD45(low) Microglia and CD45(high) Brain Mononuclear Phagocytes—Activation and Age-Related Effects
por: Rangaraju, Srikant, et al.
Publicado: (2018)

Quantitative proteomics of cerebrospinal fluid from African Americans and Caucasians reveals shared and divergent changes in Alzheimer’s disease
por: Modeste, Erica S., et al.
Publicado: (2023)

Shared proteomic effects of cerebral atherosclerosis and Alzheimer’s disease on the human brain
por: Wingo, Aliza P., et al.
Publicado: (2020)

A proteomic network approach across the ALS‐FTD disease spectrum resolves clinical phenotypes and genetic vulnerability in human brain
por: Umoh, Mfon E, et al.
Publicado: (2017)

Quantitative Mass Spectrometry Analysis of Cerebrospinal Fluid Protein Biomarkers in Alzheimer’s Disease
por: Watson, Caroline M., et al.
Publicado: (2023)

CSF complement 3 and factor H are staging biomarkers in Alzheimer’s disease
por: Hu, William T., et al.
Publicado: (2016)

U1 small nuclear ribonucleoproteins (snRNPs) aggregate in Alzheimer’s disease due to autosomal dominant genetic mutations and trisomy 21
por: Hales, Chadwick M, et al.
Publicado: (2014)

Quantitative proteomics of acutely-isolated mouse microglia identifies novel immune Alzheimer’s disease-related proteins
por: Rangaraju, Srikant, et al.
Publicado: (2018)

Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
por: Rayaprolu, Sruti, et al.
Publicado: (2020)

Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis
por: Wingo, Aliza P., et al.
Publicado: (2021)

Coaggregation of RNA-Binding Proteins in a Model of TDP-43 Proteinopathy with Selective RGG Motif Methylation and a Role for RRM1 Ubiquitination
por: Dammer, Eric B., et al.
Publicado: (2012)

Integration of plasma and CSF metabolomics with CSF proteomic reveals novel associations between lipid mediators and central nervous system vascular and energy metabolism
por: Borkowski, Kamil, et al.
Publicado: (2023)

Integrative functional genomic analysis of intron retention in human and mouse brain with Alzheimer's disease
por: Li, Hong‐Dong, et al.
Publicado: (2021)

Magnetic resonance evidence of increased iron content in subcortical brain regions in asymptomatic Alzheimer's disease
por: Lin, Qixiang, et al.
Publicado: (2023)

Differentiation during fig ontogeny suggests opposing selection by mutualists
por: Lomáscolo, Silvia B., et al.
Publicado: (2020)

Tau-Mediated Disruption of the Spliceosome Triggers Cryptic RNA Splicing and Neurodegeneration in Alzheimer’s Disease
por: Hsieh, Yi-Chen, et al.
Publicado: (2019)

Atlas of RNA editing events affecting protein expression in aged and Alzheimer’s disease human brain tissue
por: Ma, Yiyi, et al.
Publicado: (2021)

Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease
por: Rayaprolu, Sruti, et al.
Publicado: (2020)

Brain microRNAs are associated with variation in cognitive trajectory in advanced age
por: Wingo, Aliza P., et al.
Publicado: (2022)

Unsupervised Machine Learning to Identify Separable Clinical Alzheimer’s Disease Sub-Populations
por: Prakash, Jayant, et al.
Publicado: (2021)

Differential DNA Methylation in the Brain as Potential Mediator of the Association between Traffic-related PM(2.5) and Neuropathology Markers of Alzheimer’s Disease
por: Li, Zhenjiang, et al.
Publicado: (2023)

Identification of Conserved Proteomic Networks in Neurodegenerative Dementia
por: Swarup, Vivek, et al.
Publicado: (2020)

Integrated Approaches for Analyzing U1-70K Cleavage in Alzheimer’s Disease
por: Bai, Bing, et al.
Publicado: (2014)

Proteomics of protein post-translational modifications implicated in neurodegeneration
por: Ren, Ru-Jing, et al.
Publicado: (2014)

Development of transgenic rats producing human β-amyloid precursor protein as a model for Alzheimer's disease: Transgene and endogenous APP genes are regulated tissue-specifically
por: Agca, Cansu, et al.
Publicado: (2008)

Cannot write session to /tmp/vufind_sessions/sess_lv0pvfaenrn09mfmo05vg1evci