CSF Alzheimer Disease Biomarkers: Time-Varying Relationships With MCI Symptom Onset and Associations With Age, Sex,

Barry D Greenberg1, Corinne Pettigrew2, Anja Soldan2

  • 1From the Department of Neurology (B.D.G., C.P., A.S., J.A.D., M.S.A., A.M.), Johns Hopkins University School of Medicine; and Department of Biostatistics (J.W., M.-C.W.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. bgreen45@jhmi.edu.

Neurology
|October 10, 2022
PubMed
Abstract

Insights

Alzheimer disease (AD) biomarkers in cerebrospinal fluid (CSF) predict mild cognitive impairment (MCI) onset differently over time. These associations vary by age and sex, impacting clinical trial strategies.

Area of Science:

  • Neuroscience
  • Biomarkers
  • Gerontology

Background:

  • Alzheimer disease (AD) pathology can be measured in cerebrospinal fluid (CSF).
  • Understanding the temporal relationship between CSF biomarkers and mild cognitive impairment (MCI) onset is crucial.
  • Factors like age, sex, and Apolipoprotein E (ApoE4) status may modify these associations.

Purpose of the Study:

  • To investigate if baseline CSF AD biomarkers are associated with the time to MCI onset.
  • To determine if these associations differ based on age, sex, ApoE4 status, and time to symptom onset (proximal vs. distal).

Main Methods:

  • Utilized CSF samples from the Biomarkers for Older Controls at Risk for Alzheimer Disease (BIOCARD) study.
  • Measured amyloid-beta (Aβ1-42, Aβ1-40), phospho-tau (ptau181), and total tau (t-tau) using Lumipulse G immunoassay.
  • Employed Cox regression models to analyze the relationship between baseline biomarkers and time to MCI, including interactions with demographic factors.

Main Results:

  • Elevated ptau181 and t-tau were linked to MCI onset within 7 years (HR 1.386, 1.329).
  • A lower Aβ42/Aβ40 ratio predicted MCI onset >7 years later (HR 0.596).
  • Significant three-way interactions (CSF × age × sex) were observed for ptau181 and Aβ42/Aβ40, with stronger associations in men that diminished with age.

Conclusions:

  • CSF biomarker associations with MCI onset are time-dependent.
  • Age and sex significantly modify the predictive value of CSF biomarkers for MCI.
  • Findings can inform clinical trial design, enrollment, and the use of biomarkers as surrogate endpoints.

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