Evidence map›Paper›PMID 25044049›Full record

ArticleEuropean neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology2014

A multivariate approach linking reported side effects of clinical antidepressant and antipsychotic trials to in vitro binding affinities.

Johanna Michl, Christian Scharinger, Miriam Zauner, Siegfried Kasper, Michael Freissmuth, Harald H Sitte, Gerhard F Ecker, Lukas Pezawas

Open access · greenAbstract read
In one paragraph

Article in European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Johanna MichlDepartment of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Christian ScharingerDepartment of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria.
Miriam ZaunerDepartment of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria.
Siegfried KasperDepartment of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria.
Michael FreissmuthDepartment of Pharmacology, Medical University Vienna, Vienna, Austria.
Harald H SitteDepartment of Pharmacology, Medical University Vienna, Vienna, Austria.
Gerhard F EckerDepartment of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria. Electronic address: gerhard.f.ecker@univie.ac.at.
Lukas PezawasDepartment of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria.
Medical University of Vienna · ATUniversity of Vienna · AT

Funding

Austrian Science Fund FWF F 3502Austrian Science Fund FWF F 3506Austrian Science Fund FWF F 3510Austrian Science Fund FWF F 3514
6 · The paper itself

Abstract

The vast majority of approved antidepressants and antipsychotics exhibit a complex pharmacology. The mechanistic understanding of how these psychotropic medications are related to adverse drug reactions (ADRs) is crucial for the development of novel drug candidates and patient adherence. This study aims to associate in vitro assessed binding affinity profiles (39 compounds, 24 molecular drug targets) and ADRs (n=22) reported in clinical trials of antidepressants and antipsychotics (n>59.000 patients) by the use of robust multivariate statistics. Orthogonal projection to latent structures (O-PLS) regression models with reasonable predictability were found for several frequent ADRs such as nausea, diarrhea, hypotension, dizziness, headache, insomnia, sedation, sleepiness, increased sweating, and weight gain. Results of the present study support many well-known pharmacological principles such as the association of hypotension and dizziness with α1-receptor or sedation with H1-receptor antagonism. Moreover, the analyses revealed novel or hardly investigated mechanisms for common ADRs including the potential involvement of 5-HT6-antagonism in weight gain, muscarinic receptor antagonism in dizziness, or 5-HT7-antagonism in sedation. To summarize, the presented study underlines the feasibility and value of a multivariate data mining approach in psychopharmacological development of antidepressants and antipsychotics.

Indexed as

Multivariate AnalysisAntidepressive AgentsAntipsychotic AgentsClinical Trials as TopicDatabases, FactualDizzinessFemaleHumansHypertensionIn Vitro TechniquesMaleProtein BindingAntidepressive AgentsAntipsychotic AgentsAdverse effectsAntidepressive agentsAntipsychotic agentsClinical pharmacologyDepressive disorderSchizophrenia

Identifiers

PMID25044049
PMCPMC4502613
OpenAlexW2141639597

What OpenQuestion holds

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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.