Evidence map›Paper›PMID 41722074›Full record

ArticleEuropean addiction research2026

Peripheral Expression of Dopamine Genes as a Biomarker for Cocaine Addiction in Humans.

Stacey L Kigar, Tsen Vei Lim, Lorinda Turner, Edward T Bullmore, Karen D Ersche

Abstract read
In one paragraph

Article in European addiction research, 2026. 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
–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

0 citing papers in PubMed.

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

5 authors.

Stacey L KigarDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Tsen Vei LimDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Lorinda TurnerDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Edward T BullmoreDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Karen D ErscheDepartment of Psychiatry, University of Cambridge, Cambridge, UK, ke220@cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Introduction: Objective measures for the severity of addiction are needed to identify and appropriately stratify patients into effective treatment groups for intervention and recovery. Our aim was to determine if blood-derived, dopamine-related biomarkers hold predictive validity in patients with cocaine use disorder (CUD).

methodsA total of 349 participants (163 patients with moderate-to-severe CUD and 186 healthy control participants without a history of substance use disorder) were recruited for a cross-sectional case-control study in the East of England, UK. Data on individual differences in CUD-related traits, e.g., impulsivity, sensation-seeking, were collected. Measurements included mRNA transcription of dopamine-related genes (DRD2, DRD3, DRD4, and COMT) and risk alleles (rs6277, rs1800497, rs12364283, rs6280, and rs4680).

resultsCUD patients showed elevated DRD2 mRNA in peripheral blood (B

conclusionsBlood-based expression of DRD2 may be a useful biomarker related to CUD diagnosis and related traits. </p>.

Indexed as

Cocaine-Related DisordersDopamineReceptors, Dopamine D2AdultBiomarkersCase-Control StudiesCatechol O-MethyltransferaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideReceptors, Dopamine D3Receptors, Dopamine D4RNA, MessengerBiomarkersCatechol O-MethyltransferaseCOMT protein, humanDopamineDRD2 protein, humanDRD3 protein, humanDRD4 protein, humanReceptors, Dopamine D2Receptors, Dopamine D3Receptors, Dopamine D4RNA, MessengerBiomarkersCocaine use disorderDopamineImpulsivitySingle-nucleotide polymorphism

Identifiers

PMID41722074
PMCPMC13061397

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.