Cited by 116Dementia and Cognitive Impairment ResearchTreatment of Major DepressionTryptophan and brain disorders

Plasma biosignature and brain pathology related to persistent cognitive impairment in late-life depression

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Diniz, B S, Sibille, E, Ding, Y, Tseng, G, Aizenstein, H J, Lotrich, F, Becker, J T, Lopez, O L +4 more·2015·Molecular Psychiatry

Abstract

Cognitive impairment is highly prevalent among individuals with late-life depression (LLD) and tends to persist even after successful treatment. The biological mechanisms underlying cognitive impairment in LLD are complex and likely involve abnormalities in multiple pathways, or 'cascades,' reflected in specific biomarkers. Our aim was to evaluate peripheral (blood-based) evidence for biological pathways associated with cognitive impairment in older adults with LLD. To this end, we used a data-driven comprehensive proteomic analysis (multiplex immunoassay including 242 proteins), along with measures of structural brain abnormalities (gray matter atrophy and white matter hyperintensity volume via magnetic resonance imaging), and brain amyloid-β (Aβ) deposition (PiB-positron emission tomography). We analyzed data from 80 older adults with remitted major depression (36 with mild cognitive impairment (LLD+MCI) and 44 with normal cognitive (LLD+NC)) function. LLD+MCI was associated with differential expression of 24 proteins (P<0.05 and q-value <0.30) related mainly to the regulation of immune-inflammatory activity, intracellular signaling, cell survival and protein and lipid homeostasis. Individuals with LLD+MCI also showed greater white matter hyperintensity burden compared with LLD+NC (P=0.015). We observed no differences in gray matter volume or brain Aβ deposition between groups. Machine learning analysis showed that a group of three proteins (Apo AI, IL-12 and stem cell factor) yielded accuracy of 81.3%, sensitivity of 75% and specificity of 86.4% in discriminating participants with MCI from those with NC function (with an averaged cross-validation accuracy of 76.3%, sensitivity of 69.4% and specificity of 81.8% with nested cross-validation considering the model selection bias). Cognitive impairment in LLD seems to be related to greater cerebrovascular disease along with abnormalities in immune-inflammatory control, cell survival, intracellular signaling, protein and lipid homeostasis, and clotting processes. These results suggest that individuals with LLD and cognitive impairment may be more vulnerable to accelerated brain aging and shed light on possible mediators of their elevated risk for progression to dementia.

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  • Insomnia may partially mediate depression risk for Alzheimer's and related dementias via beta-amyloid accumulation, tau protein aggregation, inflammation and blood-brain-barrier disruption.

    “Insomnia may partially mediate depression risk for Alzheimer's and related dementias via beta‐amyloid accumulation, tau protein aggregation, inflammation and blood‐brain‐barrier disruption204, 205, 206.”
  • Data-driven proteomic analyses have revealed several biological pathways and molecular functions associated with cognitive impairment in late-life major depression, related to neuro-inflammatory control, neurotrophic support, cell survival/apoptosis, endothelial function, and lipid/protein metabolism.

    “Data‐driven proteomic analyses have revealed several biological pathways and molecular functions associated with cognitive impairment in late‐life major depression, related to neuro‐inflammatory control, neurotrophic support, cell survival/apoptosis, endothelial function, and lipid/protein metabolism204, 205, 206.”

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Authors
Diniz, B. S., Sibille, E., Ding, Y., Tseng, G., Aizenstein, H. J., Lotrich, F., Becker, J. T., Lopez, O. L., Lotze, M. T., Klunk, W. E., Reynolds, C. F., & Butters, M. A.
Affiliations
  • Universidade Federal de Minas Gerais (BR)
  • University of Pittsburgh (US)
  • UPMC Hillman Cancer Center (US)
Corresponding author
Butters, M A
Venue
Molecular Psychiatry
Published
2014-08-05
Volume
20
Issue
5
Pages
594-601
ISSN
  • 1359-4184 (ISSN-L)
  • 1476-5578
OpenAlex
W2086139571
Cited by
116
References
57
Citations by year
2026: 5 · 2025: 6 · 2024: 3 · 2023: 10 · 2022: 11 · 2021: 13 · 2020: 8 · 2019: 10 · 2018: 13 · 2017: 9 · 2016: 15 · 2015: 12 · 2014: 1
FWCI
9.41
Type
journal article
Language
en
Open access
Locations
  • Molecular Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (UL1TR000005, KL2TR000146)
  • National Institute on Aging (P50AG005133, P50-AG-05133, P30AG024827)
  • National Institute of Mental Health (P30MH090333, P30 MH90333, R01MH094564, MH080240-S1, R01MH080240, MH080240, K02MH084060)
  • National Cancer Institute (R01CA160417, R01CA181450, P30CA047904)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
Keywords
geriatric depression, cognitive impairment, mild cognitive impairment, plasma proteomics, blood-based biomarkers, white matter hyperintensities, cerebrovascular disease, brain amyloid-beta, gray matter atrophy, immune-inflammatory pathways, apolipoprotein A-I, IL-12, stem cell factor, brain aging, dementia risk, older adults
MeSH terms
Machine Learning, Aged, Aged, 80 and over, Aniline Compounds, Brain, Cognition Disorders, Depression, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Proteins, Psychiatric Status Rating Scales, Thiazoles, Biomarkers, Proteomics, Positron-Emission Tomography, Benzothiazoles

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