Evidence map›Paper›PMID 24286759›Full record

ReviewBiological psychiatry2014

Peripheral biomarkers revisited: integrative profiling of peripheral samples for psychiatric research.

Akiko Hayashi-Takagi, Marquis P Vawter, Kazuya Iwamoto

Abstract readReview
In one paragraph

Review in Biological psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Influence of Translocator Protein (Life (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Peripheral Markers of Depression.Journal of clinical medicine · 2020
    Review
  16. Neuroinflammation in psychiatric disorders: An introductory primer.Pharmacology, biochemistry, and behavior · 2020
    Article
  17. Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Akiko Hayashi-TakagiLaboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, University of Tokyo, Tokyo; Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan. Electronic address: hayashi888@m.u-tokyo.ac.jp.
Marquis P VawterDepartment of Psychiatry and Human Behavior, Functional Genomics Laboratory, University of California, Irvine, California.
Kazuya IwamotoDepartment of Molecular Psychiatry, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPUniversity of California, Irvine · US

Funding

Mitochondrial Dysfunction In SchizophreniaR01MH085801 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI VAWTER, MARQUIS PHILIP · 2009 to 2020
$5.0M
Biomarker Genes in Mood Disorder: Lymphocyte and BrainR21MH074307 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI VAWTER, MARQUIS PHILIP · 2005 to 2006
$353k
NIMH NIH HHS R01 MH085801NIMH NIH HHS R21 MH074307
6 · The paper itself

Abstract

Peripheral samples, such as blood and skin, have been used for decades in psychiatric research as surrogates for central nervous system samples. Although the validity of the data obtained from peripheral samples has been questioned and other state-of-the-art techniques, such as human brain imaging, genomics, and induced pluripotent stem cells, seem to reduce the value of peripheral cells, accumulating evidence has suggested that revisiting peripheral samples is worthwhile. Here, we re-evaluate the utility of peripheral samples and argue that establishing an understanding of the common signaling and biological processes in the brain and peripheral samples is required for the validity of such models. First, we present an overview of the available types of peripheral cells and describe their advantages and disadvantages. We then briefly summarize the main achievements of omics studies, including epigenome, transcriptome, proteome, and metabolome analyses, as well as the main findings of functional cellular assays, the results of which imply that alterations in neurotransmission, metabolism, the cell cycle, and the immune system may be partially responsible for the pathophysiology of major psychiatric disorders such as schizophrenia. Finally, we discuss the future utility of peripheral samples for the development of biomarkers and tailor-made therapies, such as multimodal assays that are used as a battery of disease and trait pathways and that might be potent and complimentary tools for use in psychiatric research.

Indexed as

Biomedical ResearchBiomarkersBlood CellsBrainEpigenomicsHumansMental DisordersMetabolomeProteomePsychiatryReproducibility of ResultsSkinTranscriptomeBiomarkersProteomeBiomarkerdiagnostic supportfunctional assayomicsperipheral sampletailor-made therapy

Identifiers

PMID24286759
PMCPMC4964959
OpenAlexW2134998548

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.