Evidence map›Paper›PMID 21176028›Full record

ArticleBipolar disorders2010

Increased peripheral blood expression of electron transport chain genes in bipolar depression.

Robert D Beech, Lori Lowthert, Janine J Leffert, Portia N Mason, Mary M Taylor, Sheila Umlauf, Aiping Lin, Ji Young Lee, Kathleen Maloney, Anjana Muralidharan and 8 more

Open access · greenAbstract read
In one paragraph

Article in Bipolar disorders, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 11% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Psychoneuroimmunology of Mood Disorders.Methods in molecular biology (Clifton, N.J.) · 2025
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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

18 authors at 3 institutions in 1 country.

Robert D BeechDepartment of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA. robert.beech@yale.edu
Lori Lowthert
Janine J Leffert
Portia N Mason
Mary M Taylor
Sheila Umlauf
Aiping Lin
Ji Young Lee
Kathleen Maloney
Anjana Muralidharan
Boris Lorberg
Hongyu Zhao
Samuel S Newton
Shrikant Mane
C Neill Epperson
Rajita Sinha
Hilary Blumberg
Zubin Bhagwagar
W. M. Keck Foundation · USYale University · USBristol-Myers Squibb (United States) · US

Funding

YALE UNIVERSITY CLINICAL AND TRANSLATIONAL SCIENCE AWARD PROGRAMUL1RR024139 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$56.8M
SUBSTANCE ABUSEK12DA000167 · NIDA · YALE UNIVERSITY · PI STEPHANIE S O'MALLEY, Marc N Potenza · 1991 to 2026
$17.7M
Chronic Alcohol and Brain Stress Circuit ResponseR01AA013892 · NIAAA · YALE UNIVERSITY · PI Rajita Sinha · 2003 to 2026
$10.1M
Interdisciplinary Research on Stress, Self-Control & AddictionUL1DE019586 · NIDCR · YALE UNIVERSITY · PI SINHA, RAJITA · 2008 to 2011
$5.0M
Protocols, Statistics, Collaborative Method Development and ToolsPL1DA024859 · NIDA · YALE UNIVERSITY · PI SINHA, RAJITA · 2007 to 2011
$3.6M
Neuroactive Steroids, GABA &Glutamate in PMDDK02MH073090 · NIMH · YALE UNIVERSITY · PI EPPERSON, C. NEILL · 2005 to 2009
$614k
A study of GABA and 5-HT interactions to test a molecular model of vulnerabilityK23MH077914 · NIMH · YALE UNIVERSITY · PI BHAGWAGAR, ZUBIN · 2007 to 2009
$543k
NCRR NIH HHS UL1 RR024139NIAAA NIH HHS R01 AA013892NIAAA NIH HHS R01-AA013892NIDA NIH HHS K12 DA000167NIDA NIH HHS K12 DA-00167NIDA NIH HHS PL1 DA024859NIDA NIH HHS PL1-DA024859NIDCR NIH HHS UL1 DE019586NIDCR NIH HHS UL1-DE019586NIMH NIH HHS 1K23MH077914-01A1NIMH NIH HHS K02 MH073090NIMH NIH HHS K23 MH077914
6 · The paper itself

Abstract

objectiveTo identify specific genetic pathways showing altered expression in peripheral blood of depressed subjects with bipolar disorder (BPD).

methodsIllumina Sentrix BeadChip (Human-6v2) microarrays containing >48,000 transcript probes were used to measure levels of gene expression in peripheral blood from 20 depressed subjects with BPD and in 15 healthy control subjects. Quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) was used to confirm a subset of these differences.

resultsA total of 1,180 genes were differentially expressed between subjects with BPD and healthy controls (fold-change >1.3, false discovery rate-corrected p < 0.05, covaried for age and sex). Of these, 559 genes were up-regulated in BPD subjects and 621 were down-regulated. Surprisingly, there was no difference between medicated (n = 11) and unmedicated (n = 9) subjects with BPD for any of these genes. Pathway analysis using GeneGo MetaCore software showed that the most significantly affected pathway was the mitochondrial electron transport chain (ETC). Of the 85 objects (genes or proteins) in this pathway, 22 were up-regulated and 2 down-regulated in subjects with BPD. qRT-PCR confirmed up-regulation of nuclear encoded ETC genes in complexes I, III, IV, and V and, in addition, demonstrated up-regulation of mitochondrially encoded genes in each of these complexes.

conclusionThese results suggest that increased expression of multiple components of the mitochondrial ETC may be a primary deficit in bipolar depression, rather than an effect of medication.

Indexed as

AdultBipolar DisorderDown-RegulationElectron Transport Chain Complex ProteinsFemaleGene Expression ProfilingHumansMaleMiddle AgedOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, MessengerUp-RegulationElectron Transport Chain Complex ProteinsRNA, Messenger

Identifiers

PMID21176028
PMCPMC3076072
OpenAlexW1709577223

What OpenQuestion holds

Textmetadata
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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.