Evidence map›Paper›PMID 25687188›Full record

ReviewJournal of affective disorders2015

Biomarkers of intergenerational risk for depression: a review of mechanisms in longitudinal high-risk (LHR) studies.

Rachel H Jacobs, Jonathan L Orr, Jennifer R Gowins, Erika E Forbes, Scott A Langenecker

Open access · greenAbstract readReview
In one paragraph

Review in Journal of affective disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Relations of gray matter volume to dimensional measures of cognition and affect in mood disorders.Cortex; a journal devoted to the study of the nervous system and behavior · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. The genetics of anxiety-related negative valence system traits.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Review
  9. Article
  10. Article
  11. Article
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 at 3 institutions in 1 country.

Rachel H JacobsDepartment of Psychiatry, University of Illinois at Chicago, Chicago, USA. Electronic address: rjacobs@psych.uic.edu.
Jonathan L OrrDepartment of Clinical Psychology, Teachers College, Columbia University, USA.
Jennifer R GowinsDepartment of Psychiatry, University of Illinois at Chicago, Chicago, USA.
Erika E ForbesDepartments of Psychiatry, Psychology, and Pediatrics, University of Pittsburgh, USA.
Scott A LangeneckerDepartment of Psychiatry, University of Illinois at Chicago, Chicago, USA.
University of Illinois Chicago · USColumbia University · USUniversity of Pittsburgh · US

Funding

Three Generations at High and Low Risk for Depression Followed LongitudinallyR01MH036197 · NIMH · YALE UNIVERSITY · PI POSNER, JONATHAN E, WEISSMAN, MYRNA M · 1985 to 2020
$15.0M
Translational Research Training in Child PsychiatryT32MH016434 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Cristiane S. Duarte, Kate Dimond Fitzgerald · 1985 to 2026
$10.9M
Center for Clinical and Translational ScienceUL1TR000050 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AZAR, DIMITRI T, MERMELSTEIN, ROBIN J. · 2012 to 2014
$9.8M
Serotonergic Modulation of Brain Development: Genetic and Pharmacologic InfluencP50MH090966 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI GINGRICH, JAY A · 2010 to 2014
$9.6M
Changes in brain function during adolescence and risk for depression in girlsR01MH093605 · NIMH · UNIVERSITY OF CHICAGO · PI FORBES, ERIKA E, GUYER, AMANDA E · 2011 to 2015
$2.9M
Dimensional RDoC Modeling across the Range of Negative Mood DysfunctionR01MH101487 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LANGENECKER, SCOTT A · 2013 to 2016
$2.5M
Neurobiological Intermediate Phenotypes of Major Depressive DisorderR01MH091811 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGENECKER, SCOTT A · 2010 to 2014
$2.3M
Self-Regulation of Reward in AdolescenceR21DA033612 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FORBES, ERIKA E · 2011 to 2012
$366k
NCATS NIH HHS UL1 TR000050NCATS NIH HHS UL1TR00050NIDA NIH HHS DA033612NIDA NIH HHS R21 DA033612NIMH NIH HHS 1P50MH090966NIMH NIH HHS 5R01MH036197NIMH NIH HHS 5T32MH016434NIMH NIH HHS MH091811NIMH NIH HHS MH093605NIMH NIH HHS MH101487NIMH NIH HHS P50 MH090966NIMH NIH HHS R01 MH036197NIMH NIH HHS R01 MH091811NIMH NIH HHS R01 MH093605NIMH NIH HHS R01 MH101487NIMH NIH HHS T32 MH016434
6 · The paper itself

Abstract

backgroundLongitudinal research is critical for understanding the biological mechanisms underlying the development of depression. Researchers recruit high-risk cohorts to understand how risk is transmitted from one generation to the next. Biological measurements have been incorporated into these longitudinal high-risk (LHR) studies in order to illuminate mechanistic pathways.

methodsTo frame our review, we first present heritability estimates along the gene-by-environment continuum as a foundation. We then offer a Biomarkers of Intergenerational Risk for Depression (BIRD) model to describe the multiple hits individuals at risk receive and to allow for greater focus on the interactive effects of markers. BIRD allows for the known multifinality of pathways towards depression and considers the context (i.e., environment) in which these mechanisms emerge. Next, we review the extant LHR cohort studies that have assessed central nervous system (electroencephalography (EEG), neuroimaging), endocrine (hypothalamic-pituitary-adrenal axis (HPA)/cortisol), autonomic (startle, heart rate), genetic, sleep, and birth characteristics.

resultsResults to date, in conjunction with the proposed model, point towards several pathways of discovery in understanding mechanisms, providing clear direction for future research examining potential endophenotypes. LIMITATIONS: Our review is based on relatively narrow inclusion and exclusion criteria. As such, many interesting studies were excluded, but this weakness is offset by strengths such as the increased reliability of findings.

conclusionsBlanket prevention programs are inefficient and plagued by low effect sizes due to low rates of actual conversion to disorder. The inclusion of biomarkers of risk may lead to enhanced program efficiency by targeting those at greatest risk.

Indexed as

BiomarkersEndophenotypesAutonomic Nervous SystemBrainBrain WavesDepressionElectroencephalographyHumansHypothalamo-Hypophyseal SystemLongitudinal StudiesMagnetic Resonance ImagingNeuroimagingPituitary-Adrenal SystemBiomarkersBiologyDepressionDevelopmentHigh-riskLongitudinal

Identifiers

PMID25687188
PMCPMC4405143
OpenAlexW2103864283

What OpenQuestion holds

Textmetadata
LicenceTDM
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.