Evidence map›Paper›PMID 18568127›Full record

ArticleNeuropsychiatric disease and treatment2005

Candidate genes for antidepressant response to selective serotonin reuptake inhibitors.

Francis E Lotrich, Bruce G Pollock

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Depression and antidepressants: molecular and cellular aspects.Cellular and molecular life sciences : CMLS · 2009
    Review
  11. Article
  12. 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

2 authors.

Francis E LotrichUniversity of Pittsburgh Medical Center, Western Psychiatric Institute and Clinic, Department of Psychiatry Pittsburgh, PA, USA. lotrichfe@upmc.edu
Bruce G Pollock

Funding

MHIRC FOR THE STUDY OF MOOD AND ANXIETY DISORDERSP30MH030915 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KUPFER, DAVID J · 1995 to 2005
$11.9M
MHCRC FOR THE STUDY OF LATE LIFE MOOD DISORDERSP30MH052247 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F · 1995 to 2004
$7.5M
Training for Transformative Discovery in PsychiatryT32MH016804 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 1985 to 2025
$6.2M
Geropsychopharmacology: Enhancing Benefit, Reducing RiskK24MH065416 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI POLLOCK, BRUCE G · 2002 to 2006
$616k
NIMH NIH HHS K24 MH065416NIMH NIH HHS P30 MH030915NIMH NIH HHS P30 MH052247NIMH NIH HHS T32 MH016804
6 · The paper itself

Abstract

Selective serotonin reuptake inhibitors (SSRIs) can safely and successfully treat major depression, although a substantial number of patients benefit only partially or not at all from treatment. Genetic polymorphisms may play a major role in determining the response to SSRI treatment. Nonetheless, it is likely that efficacy is determined by multiple genes, with individual genetic polymorphisms having a limited effect size. Initial studies have identified the promoter polymorphism in the gene coding for the serotonin reuptake transporter as moderating efficacy for several SSRIs. The goal of this review is to suggest additional plausible polymorphisms that may be involved in antidepressant efficacy. These include genes affecting intracellular transductional cascades; neuronal growth factors; stress-related hormones, such as corticotropin-releasing hormone and glucocorticoid receptors; ion channels and synaptic efficacy; and adaptations of monoaminergic pathways. Association analyses to examine these candidate genes may facilitate identification of patients for targeted alternative therapies. Determining which genes are involved may also assist in identifying future, novel treatments.

Indexed as

depressionpharmacogeneticpharmacogenomicSSRI

Identifiers

PMID18568127
PMCPMC2426818

What OpenQuestion holds

Textmetadata
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.