Evidence map›Paper›PMID 31898087›Full record

ArticleBrain imaging and behavior2020

The importance of identifying functional Val158Met polymorphism in catechol-O- Methyltransferase when assessing MRI-based volumetric measurements in major depressive disorder.

Mario Serrano-Sosa, Kruthika Sampathgiri, Karl Douglas Spuhler, Christine DeLorenzo, Ramin Parsey, Chuan Huang

Abstract read
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In one paragraph

Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 4 institutions in 1 country.

Mario Serrano-SosaDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
Kruthika SampathgiriDepartment of Psychiatry, Stony Brook Medicine, Stony Brook, NY, USA.
Karl Douglas SpuhlerDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
Christine DeLorenzoDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
Ramin ParseyDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
Chuan HuangDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA. chuan.huang@stonybrookmedicine.edu.ORCID http://orcid.org/0000-0001-6052-0663
Stony Brook Medicine · USStony Brook University · USEinstein Medical Center Philadelphia · USStony Brook School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have shown volumetric differences in the hippocampus between COMT gene polymorphisms and other studies have shown differences between depressed patients and controls; yet, few studies have been completed to identify the volumetric differences when taking both factors into consideration. Using voxel-based morphology (VBM) we investigated, in major depressive disorder (MDD) patients and healthy controls, the relationship between COMT gene polymorphism and volumetric abnormalities. Data from 60 MDD patients and 25 healthy controls were included in this study. Volumetric measurements and genotyping of COMTval158met polymorphism were conducted to determine its impact on gray matter volume (GMV) in the hippocampus and amygdala using a Met dominant model (Val/Val vs Met/Val & Met/Met). In the analysis, a significant difference in the right hippocampus (p = 0.015), right amygdala (p = 0.003) and entire amygdala (p = 0.019) was found between the interaction of diagnosis and genotype after MRI scanner, age and sex correction. Healthy controls (HC) with the Met dominant genotype exhibited a larger right hippocampal, right amygdalar and entire amydgalar volume than MDD patients with the Met dominant genotype. Conversely, HC with the Val/Val genotype displayed a lower right hippocampal, right amygdalar and entire amygdalar volume than their MDD counterparts. This study shows that COMT polymorphism and depression may have a confounding effect on neuroimaging studies.

Indexed as

Major Depressive DisorderBrainCatechol O-MethyltransferaseCatecholsGenotypeHumansMagnetic Resonance ImagingPolymorphism, GeneticCatechol O-MethyltransferaseCatecholsCOMT protein, humanBrain morphologyCOMTval158metHippocampusMajor depressive disorderPolymorphism

Identifiers

PMID31898087
OpenAlexW2998621575

What OpenQuestion holds

Textmetadata
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.