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Related Experiment Video

Updated: May 31, 2026

A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
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Published on: October 20, 2016

Decoding the delirium proteome: linking clinical vulnerabilities to acute brain dysfunction.

Xiaoxiao Wang1,2,3, Kaixi Liu1,4, Xiangyang Guo1

  • 1Department of Anesthesiology, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing 100191, China.

The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
|May 28, 2026
PubMed
Summary

This study identified 78 plasma proteins linked to delirium risk, including NEFL and GFAP. These proteins may help explain how factors like age and smoking contribute to delirium development.

Keywords:
DeliriumMediation analysisPlasma poteomicsRisk factors

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09:47

DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data

Published on: December 15, 2023

Area of Science:

  • Neuroscience
  • Biochemistry
  • Genomics

Background:

  • Delirium is a critical brain dysfunction syndrome with significant morbidity and mortality.
  • Underlying mechanisms of delirium remain poorly understood, complicating targeted interventions.
  • Proteomic analysis offers a novel approach to investigate delirium pathogenesis.

Purpose of the Study:

  • To explore associations between established delirium risk factors and incident delirium.
  • To identify plasma proteins associated with delirium using proteomic profiling.
  • To evaluate the role of identified proteins in mediating the relationship between risk factors and delirium.

Main Methods:

  • Utilized UK Biobank data for a large-scale cohort study.
  • Employed Cox proportional hazards models to assess risk factor associations.
  • Conducted plasma proteomic profiling and subsequent pathway and mediation analyses.

Main Results:

  • Over 13.5 years, 701 participants developed delirium.
  • 78 out of 2,915 plasma proteins were significantly associated with delirium.
  • Proteins like NEFL, GFAP, and GDF15 were implicated, with mediation analyses suggesting roles in linking risk factors (age, smoking, diabetes) to delirium.

Conclusions:

  • Identified specific plasma proteins that may elucidate the link between clinical risk factors and delirium.
  • Generated novel hypotheses regarding the biological mechanisms underlying delirium.
  • Provides a foundation for future research into delirium pathophysiology and potential therapeutic targets.