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Related Concept Videos

Protein Networks02:26

Protein Networks

4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Related Experiment Video

Updated: Jul 10, 2025

A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
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Proteome Network Analysis Identifies Potential Biomarkers for Brain Aging.

Meghan I Short1,2,3, Alison E Fohner4,5, Håvard K Skjellegrind6,7

  • 1Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA.

Journal of Alzheimer'S Disease : JAD
|November 26, 2023
PubMed
Summary

Plasma proteomic networks reveal early inflammation and synaptic changes linked to preclinical brain atrophy. These findings suggest potential biomarkers for dementia risk years before symptoms appear.

Keywords:
Alzheimer’s diseasebiomarkersdementiaendophenotypesmagnetic resonance imagingproteomics

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Area of Science:

  • Neuroscience
  • Proteomics
  • Gerontology

Background:

  • Alzheimer's disease and related dementias (ADRD) develop over decades before clinical diagnosis.
  • The plasma proteome may provide insights into brain aging and dementia risk in healthy adults.

Purpose of the Study:

  • Identify plasma proteomic biomarkers and pathways associated with neuroimaging and dementia risk.
  • Utilize correlation-based network analysis in community-based cohorts.

Main Methods:

  • Applied weighted co-expression network analysis to 1,305 plasma proteins.
  • Analyzed data from Framingham Heart Study (FHS) and Cardiovascular Health Study (CHS) cohorts.
  • Examined associations with MRI brain volumes and incident dementia over long-term follow-up.

Main Results:

  • Two proteomic modules (M2: protein clearance/synaptic maintenance; M4: inflammation) associated with total brain volume in FHS.
  • Associations with total brain volume did not replicate in the CHS cohort.
  • No significant associations found with hippocampal volume, white matter hyperintensities, or incident dementia.

Conclusions:

  • Proteome networks suggest early involvement of inflammation and synaptic pathways in preclinical brain atrophy.
  • These pathways may have implications for the development of clinical dementia.
  • Plasma proteomic analysis offers a window into early neurodegenerative processes.