Selection for depression-specific dementia cases with replication in two cohorts

Alzheimer’s Disease Neuroimaging Initiative (ADNI) and the Texas Alzheimer’s Research and Care Consortium (TARCC)¶

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Abstract

The latent variable “δ” (for “dementia”) provides an etiologically “agnostic” omnibus dementia severity metric capable of recognizing the dementing potential of any condition. Depressive symptoms are independent predictors of δ and are thereby implicated as “dementing”. Serum resistin levels partially mediate the association between depressive symptoms and δ. We use a novel “off-diagonal” CHI SQ algorithm to demonstrate our ability to select individuals demented solely by depression’s effect in both the Texas Alzheimer’s Research and Care Consortium (TARCC) (N 3,500), and the Alzheimer’s Disease Neuroimaging Initiative (ADNI (N 1,750), and demonstrate the higher resistin levels of such cases in TARCC. This approach can be adapted to any δ-related dementia risk factor or biomarker and used identify individuals who might revert back to non-demented states after its successful treatment.

Original languageEnglish (US)
Article numbere0216413
JournalPloS one
Volume14
Issue number5
DOIs
Publication statusPublished - May 1 2019

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ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Alzheimer’s Disease Neuroimaging Initiative (ADNI) and the Texas Alzheimer’s Research and Care Consortium (TARCC)¶ (2019). Selection for depression-specific dementia cases with replication in two cohorts. PloS one, 14(5), [e0216413]. https://doi.org/10.1371/journal.pone.0216413