Evidence map›Paper›PMID 31352702›Full record

ArticleClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2019

Genes Involved in Neurodevelopment, Neuroplasticity and Major Depression: No Association for

Marco Calabrò, Laura Mandelli, Concetta Crisafulli, Soo-Jung Lee, Tae-Youn Jun, Sheng-Min Wang, Ashwin A Patkar, Prakash S Masand, Changsu Han, Chi-Un Pae and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  12. Possible Modulatory Role of ARC Gene Variants in Mood Disorders.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021
    Article
  13. Network Pharmacology and Molecular Docking Analyses of Mechanisms Underlying Effects of theEvidence-based complementary and alternative medicine : eCAM · 2021
    Article
  14. 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

11 authors at 6 institutions in 4 countries.

Marco Calabrò
Laura MandelliDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Concetta CrisafulliDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina.
Soo-Jung LeeDepartment of Psychiatry and 8Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Tae-Youn JunDepartment of Psychiatry and 8Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Sheng-Min WangDepartment of Psychiatry and 8Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Ashwin A PatkarDepartment of Psychiatry and Behavioural Sciences, Duke University Medical Center, Durham, NC, USA.
Prakash S MasandAcademic Medicine Education Institute, Duke-NUS Medical School, Singapore, Singapore.
Changsu HanDepartment of Psychiatry, Korea University College of Medicine, Seoul, Korea.
Chi-Un PaeDepartment of Psychiatry and 8Cell Death Disease Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID http://orcid.org/0000-0003-1632-4248
Alessandro SerrettiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Catholic University of Korea · KRDuke University · USUniversity of Bologna · ITUniversity of Messina · ITDuke-NUS Medical School · SGKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGenetics factors are likely to play a role in the risk, clinical presentation and treatment outcome in major depressive disorder (MDD). In this study, we investigated the role of three candidate genes for MDD; calcium voltage- gated channel subunit alpha1 C ( CACNA1C ), cholinergic receptor nicotinic alpha 7 subunit ( CHRNA7 ), and mitogen- activated protein kinase 1 ( MAPK1 ).

methodsTwo-hundred forty-two MDD patients and 326 healthy controls of Korean ancestry served as samples for the analyses. Thirty-nine single nucleotide polymorphisms (SNPs) within CACNA1C , CHRNA7 , and MAPK1 genes were genotyped and subsequently tested for association with MDD (primary analysis) and other clinical features (symptoms' severity, age of onset, history of suicide attempt, treatment outcome) (secondary analyses). Single SNPs, haplotypes and epistatic analyses were performed.

resultsSingle SNPs were not associated with disease risk and clinical features. However, a combination of alleles (haplotype) within MAPK1 was found associated with MDD-status. Secondary analyses detected a possible involvement of CACNA1C haplotype in resistance to antidepressant treatment.

conclusionThese data suggest a role for MAPK1 and CACNA1C in MDD risk and treatment resistance, respectively. However, since many limitations characterize the analysis, the results must be considered with great caution and verified.

Indexed as

CACNA1CCHRNA7Deep phenotypingMajor depressive disorderMAPK1

Identifiers

PMID31352702
PMCPMC6705106
OpenAlexW2966444856

What Socratic 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 Socratic graph.