Evidence map›Paper›PMID 23272319›Full record

ReviewCellular and molecular life sciences : CMLS2013

Do we need pharmacogenetics to personalize antidepressant therapy?

Cristina Lanni, Marco Racchi, Stefano Govoni

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Cristina LanniDepartment of Drug Sciences (Pharmacology Section), Center of Excellence in Applied Biology, University of Pavia, IUSS-Pavia (Istituto Universitario di Studi Superiori-Pavia), Viale Taramelli 14, 27100, Pavia, Italy. cristina.lanni@unipv.it
Marco Racchi
Stefano Govoni
University of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review examines the role of drug metabolism and drug target polymorphism in determining the clinical response to antidepressants. Even though antidepressants are the most effective available treatment for depressive disorders, there is still substantial need for improvement due to the slow onset of appreciable clinical improvement and the association with side effects. Moreover, a substantial group of patients receiving antidepressant therapy does not achieve remission or fails to respond entirely. Even if the large variation in antidepressant treatment outcome across individuals remains poorly understood, one possible source of this variation in treatment outcome are genetic differences. The review focuses on a few polymorphisms which have been extensively studied, while reporting a more comprehensive reference to the existing literature in table format. It is relatively easy to predict the effect of polymorphisms in drug metabolizing enzymes, such as cytochromes P450 2D6 (CYP2D6) and cytochrome P450 2C19 (CYP2C19), which may be determined in the clinical context in order to explain or prevent serious adverse effects. The role of target polymorphism, however, is much more difficult to establish and may be more relevant for disease susceptibility and presentation rather than for response to therapy.

Indexed as

PharmacogeneticsAntidepressive AgentsAryl Hydrocarbon HydroxylasesATP Binding Cassette Transporter, Subfamily B, Member 1Cytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6DepressionGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, GeneticSerotonin Plasma Membrane Transport ProteinsSuicide PreventionTryptophan HydroxylaseAntidepressive AgentsAryl Hydrocarbon HydroxylasesATP Binding Cassette Transporter, Subfamily B, Member 1CYP2C19 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6Serotonin Plasma Membrane Transport ProteinsSLC6A4 protein, humanTryptophan Hydroxylase

Identifiers

PMID23272319
PMCPMC11113225
OpenAlexW2052852937

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.