Evidence map›Paper›PMID 28673279›Full record

ArticleBMC psychiatry2017

Pharmacogenetic evaluation to assess breakthrough psychosis with aripiprazole long-acting injection: a case report.

Seenae Eum, Mark E Schneiderhan, Jacob T Brown, Adam M Lee, Jeffrey R Bishop

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Integrating pharmacogenetic testing into primary care.Expert review of precision medicine and drug development · 2017
    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

5 authors at 2 institutions in 1 country.

Seenae EumCollege of Pharmacy, Department of Experimental and Clinical Pharmacology, University of Minnesota, 308 Harvard St. S.E., Minneapolis, MN, 55455, USA.
Mark E SchneiderhanCollege of Pharmacy, Department of Pharmacy Practice and Pharmaceutical Sciences, University of Minnesota, 1110 Kirby Dr., Duluth, MN, 55812, USA.
Jacob T BrownCollege of Pharmacy, Department of Pharmacy Practice and Pharmaceutical Sciences, University of Minnesota, 1110 Kirby Dr., Duluth, MN, 55812, USA.
Adam M LeeCollege of Pharmacy, Department of Experimental and Clinical Pharmacology, University of Minnesota, 308 Harvard St. S.E., Minneapolis, MN, 55455, USA.
Jeffrey R BishopCollege of Pharmacy, Department of Experimental and Clinical Pharmacology and College of Medicine, Department of Psychiatry, University of Minnesota, 308 Harvard St. S.E., Minneapolis, MN, 55455, USA. jrbishop@umn.edu.
University of Minnesota · USUniversity of Minnesota, Duluth · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the complex nature of symptom presentation and medication regimens, psychiatric clinics may benefit from additional tools to personalize treatments. Utilizing pharmacogenetic information may be helpful in assessing unique responses to therapy. We report herein a case of wearing-off phenomena during treatment with aripiprazole long-acting injectable (LAI) and a proof of concept strategy of how pharmacogenetic information may be used to assess possible genetic factors and also hypothesize potential mechanisms for further study. CASE PRESENTATION: A 51-year-old African American male with schizoaffective disorder was referred to a psychiatric clinic for medication management. After unsuccessful trials of multiple antipsychotics, oral aripiprazole was initiated (up to 30 mg/day) and transitioned to aripiprazole LAI with symptom improvement. At a high dose of aripiprazole LAI (400 mg Q3wks), the patient experienced breakthrough symptoms approximately 3 days prior to his next injection. Various considerations were examined to explain his atypical dose requirements, including but not limited to pharmacogenetic influences. Pharmacogenetic testing ruled out genetic influences on drug metabolism but noted a -141C Del variant in the dopamine-D2 receptor (DRD2) gene associated in prior studies of poor-response to antipsychotics. At this time, a new formulation, aripiprazole lauroxil, was explored due to its availability in higher dose options. Transition to the new formulation (882 mg Q4wks) greatly improved and stabilized the patient's symptoms with no breakthrough psychosis. Comparable daily dose equivalents were achieved with two different formulations due to the Q3wks vs Q4wks dosing strategies, although the two agents have some differences in pharmacokinetic profiles.

conclusionsWe report a case of a patient experiencing wearing-off symptoms with aripiprazole LAI who benefited from switching to aripiprazole lauroxil. Pharmacogenetic testing revealed normal activity for relevant metabolism pathways but a DRD2 -141C variant that may influence brain D2 expression and antipsychotic responsiveness. The clinical utility of DRD2 information and what to do with genotyping results has not been previously addressed, despite availability on clinical test panels. Our case report suggests further investigations of altered dosing strategies and receptor genotype sensitivities to pharmacokinetic factors may be helpful in understanding symptom re-emergence observed in some patients taking LAI antipsychotics.

Indexed as

Antipsychotic AgentsAripiprazoleDelayed-Action PreparationsDrug Administration ScheduleHumansInjectionsMaleMiddle AgedPharmacogeneticsPsychotic DisordersSchizophreniaAntipsychotic AgentsAripiprazoleDelayed-Action PreparationsAripiprazole long-acting injectableClinical pharmacogenetic testingDRD2Wearing-off symptoms

Identifiers

PMID28673279
PMCPMC5496345
OpenAlexW2732445156

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.