Evidence map›Paper›PMID 41242190›Full record

ArticleNeurobiology of aging2026

Depressive symptoms and plasma AT(N) biomarkers among cognitively healthy and mild cognitively impaired in a diverse cohort.

Christina S Dintica, Leigh Johnson, Melissa Petersen, Sid O'Bryant, Kristine Yaffe

Abstract read
In one paragraph

Article in Neurobiology of aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Christina S DinticaUniversity of California, San Francisco, CA, USA. Electronic address: Christina.dintica@ucsf.edu.
Leigh JohnsonDepartment of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA. Electronic address: leigh.johnson@unthsc.edu.
Melissa PetersenInstitute for Translational Research & Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA. Electronic address: Melissa.Petersen@unthsc.edu.
Sid O'BryantInstitute for Translational Research & Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA. Electronic address: Sid.OBryant@unthsc.edu.
Kristine YaffeUniversity of California, San Francisco, CA, USA; VA Medical Center, San Francisco, CA, USA. Electronic address: Kristine.yaffe@ucsf.edu.

Funding

The Health & Aging Brain Study - Health Disparities (HABS-HD)U19AG078109 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Sid E O'Bryant · 2022 to 2026
$181.1M
Population Based Research for Alzheimer's Innovation (POP BRAIN)R35AG071916 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAFFE, KRISTINE · 2021 to 2024
$3.8M
NIA NIH HHS R35 AG071916NIA NIH HHS U19 AG078109
6 · The paper itself

Abstract

Depression is a known risk factor for dementia and MCI, but its associations with AT(N) biomarkers remain inconsistent and may differ by cognitive status. We cross-sectionally studied 2929 dementia-free participants from the Health & Aging Brain Study-Health Disparities (HABS-HD). Mild cognitive impairment (MCI) was identified as having cognitive complaints, Clinical Dementia Rating scores between 0.5 and 2.0, and at least one cognitive test ≤ 1.5 SD below norms. We defined AT (N) with plasma biomarkers amyloid-β 42/40 (Aβ42/40), phosphorylated tau (p-tau181), neurofilament light (NfL), assessed using SIMOA technology and magnetic resonance imaging (MRI) based Alzheimer disease (AD) signature cortical thickness. Depressive symptoms were measured with the Geriatric Depression Scale (GDS), categorized as high (≥10) or low (<10). We used linear regression to determine association between depressive symptoms and biomarkers, adjusting for age, sex, education, kidney function, and body mass index. High depressive symptoms (19 %) were linked to higher NfL (standardized mean differences [SMD] = 0.10, 95 % confidence interval [CI: 0.02-0.18] and p-tau181 (SMD = 0.15, 95 % CI: 0.07-0.22) levels compared to low symptoms but not with Aβ42/40 or AD cortical thickness. Participants with both MCI and high depressive symptoms had higher NfL (SMD = 0.19, 95 % CI: 0.05-0.33) and p-tau181 (SMD = 0.30, 95 % CI: 0.16-0.45), and lower AD signature cortical thickness (SMD = -0.30, 95 % CI: -0.48 to -0.11). No group differences were found for Aβ42/40. Depressive symptoms, particularly among those with MCI, were linked to greater tau and neurodegeneration; longitudinal studies are needed to clarify this clinical significance.

Indexed as

Cognitive DysfunctionDepressionAgedAmyloid beta-PeptidesBiomarkersBlack or African AmericanCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMexican AmericansMiddle AgedNeurofilament ProteinsNeuroimagingPeptide FragmentsAmyloid beta-Peptidesamyloid beta-protein (40-42)Biomarkersneurofilament protein LNeurofilament ProteinsPeptide Fragmentstau ProteinsAlzheimer's diseaseDepressionMild cognitive impairment

Identifiers

PMID41242190
PMCPMC13131265

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.