Evidence map›Paper›PMID 22832727›Full record

ArticleTranslational psychiatry2012

Plasma biomarkers of depressive symptoms in older adults.

S E Arnold, S X Xie, Y-Y Leung, L-S Wang, M A Kling, X Han, E J Kim, D A Wolk, D A Bennett, A Chen-Plotkin and 7 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 16% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. The IGF System and Aging.Endocrine reviews · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Reduced plasma Fetuin-A is a promising biomarker of depression in the elderly.European archives of psychiatry and clinical neuroscience · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Serum proteomic profiles of depressive subtypes.Translational psychiatry · 2016
    Article
  17. Review
  18. Review
  19. Article
  20. 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

17 authors at 4 institutions in 1 country.

S E ArnoldDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA. steven.arnold@uphs.upenn.edu
S X Xie
Y-Y Leung
L-S Wang
M A Kling
X Han
E J Kim
D A Wolk
D A Bennett
A Chen-Plotkin
M Grossman
W Hu
V M-Y Lee
R Scott Mackin
J Q Trojanowski
R S Wilson
L M Shaw
University of Pennsylvania · USRush University Medical Center · USEmory University · USUniversity of California, San Francisco · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DETRE, JOHN A · 1991 to 2020
$35.1M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Regulation of gene expression in frontotemporal dementia: A genome-wide approachK08AG033101 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2008 to 2012
$640k
"MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies"K01AG030514 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARMICHAEL, OWEN T. · 2008 to 2012
$495k
NIA NIH HHS AG033101NIA NIH HHS AG10124NIA NIH HHS AG10161NIA NIH HHS K01 AG030514NIA NIH HHS K08 AG033101NIA NIH HHS P30 AG010124NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG010161NIA NIH HHS R01 AG015819NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

The pathophysiology of negative affect states in older adults is complex, and a host of central nervous system and peripheral systemic mechanisms may play primary or contributing roles. We conducted an unbiased analysis of 146 plasma analytes in a multiplex biochemical biomarker study in relation to number of depressive symptoms endorsed by 566 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) at their baseline and 1-year assessments. Analytes that were most highly associated with depressive symptoms included hepatocyte growth factor, insulin polypeptides, pregnancy-associated plasma protein-A and vascular endothelial growth factor. Separate regression models assessed contributions of past history of psychiatric illness, antidepressant or other psychotropic medicine, apolipoprotein E genotype, body mass index, serum glucose and cerebrospinal fluid (CSF) τ and amyloid levels, and none of these values significantly attenuated the main effects of the candidate analyte levels for depressive symptoms score. Ensemble machine learning with Random Forests found good accuracy (~80%) in classifying groups with and without depressive symptoms. These data begin to identify biochemical biomarkers of depressive symptoms in older adults that may be useful in investigations of pathophysiological mechanisms of depression in aging and neurodegenerative dementias and as targets of novel treatment approaches.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseArtificial IntelligenceBiomarkersDepressive DisorderFemaleFollow-Up StudiesHepatocyte Growth FactorHumansInsulinMaleMiddle AgedPeptide FragmentsPregnancy-Associated Plasma Protein-AReference ValuesBiomarkersHepatocyte Growth FactorHGF protein, humanInsulinPeptide FragmentsPregnancy-Associated Plasma Protein-AVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID22832727
PMCPMC3309547
OpenAlexW2122929809

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.