Evidence map›Paper›PMID 23162569›Full record

ArticleFrontiers in genetics2012

Age-by-disease biological interactions: implications for late-life depression.

Brandon C McKinney, Hyunjung Oh, Etienne Sibille

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  5. Role of gamma-amino-butyric acid in the dorsal anterior cingulate in age-associated changes in cognition.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Article
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  8. The Role of BDNF in Age-Dependent Changes of Excitatory and Inhibitory Synaptic Markers in the Human Prefrontal Cortex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2016
    Article
  9. Does physical activity moderate the relationship between depression symptomatology and low back pain? Cohort and co-twin control analyses nested in the longitudinal study of aging Danish twins (LSADT).European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2016
    Article
  10. Hypermethylation of BDNF and SST Genes in the Orbital Frontal Cortex of Older Individuals: A Putative Mechanism for Declining Gene Expression with Age.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2015
    Article
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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

3 authors at 1 institution in 1 country.

Brandon C McKinneyDepartment of Psychiatry, University of Pittsburgh Pittsburgh, PA, USA.
Hyunjung Oh
Etienne Sibille
University of Pittsburgh · US

Funding

Transcriptome analysis in major depressionR01MH077159 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCCLUNG, COLLEEN A, SIBILLE, ETIENNE L · 2007 to 2015
$3.2M
Molecular Aging of the Human Brain: Genetic Modulation and Functional OutcomesR01MH093723 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2011 to 2015
$2.6M
Molecular characterization of a corticolimbic network in depressionK02MH084060 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2009 to 2013
$589k
NIMH NIH HHS K02 MH084060NIMH NIH HHS R01 MH077159NIMH NIH HHS R01 MH093723
6 · The paper itself

Abstract

Onset of depressive symptoms after the age of 65, or late-life depression (LLD), is common and poses a significant burden on affected individuals, caretakers, and society. Evidence suggests a unique biological basis for LLD, but current hypotheses do not account for its pathophysiological complexity. Here we propose a novel etiological framework for LLD, the age-by-disease biological interaction hypothesis, based on the observations that the subset of genes that undergoes lifelong progressive changes in expression is restricted to a specific set of biological processes, and that a disproportionate number of these age-dependent genes have been previously and similarly implicated in neurodegenerative and neuropsychiatric disorders, including depression. The age-by-disease biological interaction hypothesis posits that age-dependent biological processes (i) are "pushed" in LLD-promoting directions by changes in gene expression naturally occurring during brain aging, which (ii) directly contribute to pathophysiological mechanisms of LLD, and (iii) that individual variability in rates of age-dependent changes determines risk or resiliency to develop age-related disorders, including LLD. We review observations supporting this hypothesis, including consistent and specific age-dependent changes in brain gene expression and their overlap with neuropsychiatric and neurodegenerative disease pathways. We then review preliminary reports supporting the genetic component of this hypothesis. Other potential biological mediators of age-dependent gene changes are proposed. We speculate that studies examining the relative contribution of these mechanisms to age-dependent changes and related disease mechanisms will not only provide critical information on the biology of normal aging of the human brain, but will inform our understanding of age-dependent diseases, in time fostering the development of new interventions for prevention and treatment of age-dependent diseases, including LLD.

Indexed as

depressionepigenetic modificationsgene expressionlate-life depressionmolecular agingoxidative stresstelomere

Identifiers

PMID23162569
PMCPMC3499806
OpenAlexW2069573609

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.