Evidence map›Paper›PMID 31748123›Full record

SynthesisBiological psychiatry. Cognitive neuroscience and neuroimaging2020

Regionally Distinct Alterations in Membrane Phospholipid Metabolism in Schizophrenia: A Meta-analysis of Phosphorus Magnetic Resonance Spectroscopy Studies.

Connor S Haszto, Jeffrey A Stanley, Satish Iyengar, Konasale M Prasad

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Leveraging ultra-high field (7T) MRI in psychiatric research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  4. Article
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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

4 authors at 3 institutions in 1 country.

Connor S HasztoKenneth Dietrich School of Arts and Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Jeffrey A StanleyDepartment of Psychiatry and Behavioral Neuroscience, Wayne State University School of Medicine, Detroit, Michigan.
Satish IyengarDepartment of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania.
Konasale M PrasadDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Veterans Affairs Pittsburgh Health System, Pittsburgh, Pennsylvania. Electronic address: PrasadKM@upmc.edu.
University of Pittsburgh · USVA Pittsburgh Healthcare System · USWayne State University · US

Funding

Synaptic Pruning and Complement Gene in Schizophrenia: Imaging & Cellular StudiesR01MH115026 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRASAD, KONASALE M · 2018 to 2022
$3.1M
Dimensional outcomes and neural circuitry associated with psychosis riskR01MH112584 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRASAD, KONASALE M · 2018 to 2021
$2.1M
NIMH NIH HHS R01 MH112584NIMH NIH HHS R01 MH115026
6 · The paper itself

Abstract

backgroundExisting data on altered membrane phospholipid metabolism in schizophrenia are diverse. We conducted a meta-analysis of studies of phosphorus magnetic resonance spectroscopy, a noninvasive imaging approach that can assess molecular biochemistry of cortex by measuring phosphomonoester (PME) and phosphodiester (PDE) levels, which can provide evidence of altered biochemical processes involved in neuropil membrane expansion and contraction in schizophrenia.

methodsWe analyzed PME and PDE data in the frontal and temporal lobes in subjects with schizophrenia from 24 peer-reviewed publications using the MAVIS package in R by building random- and fixed-effects models. Heterogeneity of effect sizes, effects of publication bias, and file drawer analysis were also assessed.

resultsSubjects with schizophrenia showed lower PME levels in the frontal regions (p = .008) and elevated PDE levels in the temporal regions (p < .001) with significant heterogeneity. We noted significant publication bias and file drawer effect for frontal PME and PDE and temporal PDE levels, but not for temporal PME levels. Fail-safe analysis estimated that a high number of negative studies were required to provide nonsignificant results.

conclusionsDespite methodological differences, these phosphorus magnetic resonance spectroscopy studies demonstrate regionally specific imbalance in membrane phospholipid metabolism related to neuropil in subjects with schizophrenia compared with control subjects reflecting neuropil contraction. Specifically, decreased PME levels in the frontal regions and elevated PDE levels in the temporal regions provide evidence of decreased synthesis and increased degradation of neuropil membrane, respectively. Notwithstanding significant heterogeneity and publication bias, a large number of negative studies are required to render the results of this meta-analysis nonsignificant. These findings warrant further postmortem and animal studies.

Indexed as

PhospholipidsSchizophreniaBiochemical PhenomenaHumansMagnetic Resonance SpectroscopyPhosphorusPhospholipidsPhosphorusMagnetic resonance spectroscopyMembrane phospholipidsNeurodevelopmentNeuropilPhosphodiesterPhosphomonoesterPhosphorus magnetic resonance spectroscopySchizophreniaSynaptic pruning

Identifiers

PMID31748123
PMCPMC7064428
OpenAlexW2978697055

What OpenQuestion holds

Textmetadata
LicenceTDM
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.