Evidence map›Paper›PMID 25436079›Full record

ArticleBasic and clinical neuroscience2014

Mu opioid receptor gene: new point mutations in opioid addicts.

Amin Dinarvand, Ali Goodarzi, Nasim Vousooghi, Mehrdad Hashemi, Rasoul Dinarvand, Fahimeh Ostadzadeh, Ahad Khoshzaban, Mohammad-Reza Zarrindast

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In one paragraph

Article in Basic and clinical neuroscience, 2014. 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
0.4field-weighted citation impact, top 35% 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, 2 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

8 authors at 3 institutions in 1 country.

Amin DinarvandScience and Research Branch of Islamic Azad University, Tehran, Iran.
Ali GoodarziIranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran.
Nasim VousooghiDepartment of Neuroscience, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran ; Genetics laboratory, Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran.
Mehrdad HashemiDepartment of Genetics, Islamic Azad University, Tehran Medical Branch, Tehran, Iran.
Rasoul DinarvandDepartment of Pharmacoeconomics and Pharmaceutical Administration, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran ; Pharmaceutical Sciences Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran ; Nanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Fahimeh OstadzadehScience and Research Branch of Islamic Azad University, Tehran, Iran.
Ahad KhoshzabanEye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad-Reza ZarrindastIranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran ; Department of Neuroscience, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran ; Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran ; Institute for Studies in Theoretical Physics and Mathematics, School of Cognitive Sciences, Tehran, Iran ; Institute for Cognitive Science Studies, Tehran, Iran.
Islamic Azad University, Science and Research Branch · IRTehran University of Medical Sciences · IRIslamic Azad University Medical Branch of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAssociation between single-nucleotide polymorphisms (SNPs) in mu opioid receptor gene and drug addiction has been shown in various studies. Here, we have evaluated the existence of polymorphisms in exon 3 of this gene in Iranian population and investigated the possible association between these mutations and opioid addiction.

methods79 opioid-dependent subjects (55 males, 24 females) and 134 non-addict or control individuals (74 males, 60 females) participated in the study. Genomic DNA was extracted from volunteers' peripheral blood and exon 3 of the mu opioid receptor gene was amplified by polymerase chain reaction (PCR) whose products were then sequenced.

resultsThree different heterozygote polymorphisms were observed in 3 male individuals: 759T > C and 877G > A mutations were found in 2 control volunteers and 1043G > C substitution was observed in an opioid-addicted subject. Association between genotype and opioid addiction for each mutation was not statistically significant. DISCUSSION: It seems that the sample size used in our study is not enough to confirm or reject any association between 759T > C, 877G > A and 1043G > C substitutions in exon 3 of the mu opioid receptor gene and opioid addiction susceptibility in Iranian population.

Indexed as

AddictionOPRM1 GenePolymorphism

Identifiers

PMID25436079
PMCPMC4202600
OpenAlexW2116228096

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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.