Evidence map›Paper›PMID 34642460›Full record

ArticleMolecular psychiatry2022

A multimodal study of a first episode psychosis cohort: potential markers of antipsychotic treatment resistance.

Kun Yang, Luisa Longo, Zui Narita, Nicola Cascella, Frederick C Nucifora, Jennifer M Coughlin, Gerald Nestadt, Thomas W Sedlak, Marina Mihaljevic, Min Wang and 9 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Leveraging ultra-high field (7T) MRI in psychiatric research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A redux of schizophrenia research in 2021.Schizophrenia research · 2022
    Article
  17. Article
  18. Article
  19. Neuroimaging in schizophrenia: A review article.Frontiers in neuroscience · 2022
    Review
  20. Review
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

19 authors.

Kun Yang *Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Luisa Longo *Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Zui NaritaDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Nicola CascellaDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Frederick C NuciforaDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Jennifer M CoughlinDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0002-2514-9640
Gerald NestadtDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Thomas W SedlakDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Marina MihaljevicDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Min WangDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Anshel KenkareDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Anisha NagpalDepartment of Public Health Studies, Johns Hopkins University Zanvyl Krieger School of Arts and Sciences, Baltimore, MD, 21218, USA.
Mehk SethiDepartment of Applied Math and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, 21218, USA.
Alexandra KellyDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Pasquale Di CarloLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0002-5150-5274
Vidyulata KamathDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Andreia FariaDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0002-1673-002X
Peter BarkerDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0002-6410-7793
Akira SawaDepartment of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. asawa1@jhmi.edu.ORCID http://orcid.org/0000-0003-1401-3008

Funding

Project 3P50MH094268 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2020
$19.9M
High throughput marker for cognitive deficit: cellular autofluorescenceR01MH107730 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2018 to 2022
$3.0M
DISC1-dependent defects in neural fate, corticogenesis and cognition in psychosisR01MH105660 · NIMH · JOHNS HOPKINS UNIVERSITY · PI ISHIZUKA, KOKO, SAWA, AKIRA · 2014 to 2018
$2.8M
Oxidative stress and schizophrenia: combination of cell biology and brain imagingR01MH092443 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2015
$1.8M
NIMH NIH HHS P50 MH094268NIMH NIH HHS R01 MH092443NIMH NIH HHS R01 MH105660NIMH NIH HHS R01 MH107730
6 · The paper itself

Abstract

Treatment resistant (TR) psychosis is considered to be a significant cause of disability and functional impairment. Numerous efforts have been made to identify the clinical predictors of TR. However, the exploration of molecular and biological markers is still at an early stage. To understand the TR condition and identify potential molecular and biological markers, we analyzed demographic information, clinical data, structural brain imaging data, and molecular brain imaging data in 7 Tesla magnetic resonance spectroscopy from a first episode psychosis cohort that includes 136 patients. Age, gender, race, smoking status, duration of illness, and antipsychotic dosages were controlled in the analyses. We found that TR patients had a younger age at onset, more hospitalizations, more severe negative symptoms, a reduction in the volumes of the hippocampus (HP) and superior frontal gyrus (SFG), and a reduction in glutathione (GSH) levels in the anterior cingulate cortex (ACC), when compared to non-TR patients. The combination of multiple markers provided a better classification between TR and non-TR patients compared to any individual marker. Our study shows that ACC-GSH, HP and SFG volumes, and age at onset, could potentially be biomarkers for TR diagnosis, while hospitalization and negative symptoms could be used to evaluate the progression of the disease. Multimodal cohorts are essential in obtaining a comprehensive understanding of brain disorders.

Indexed as

Antipsychotic AgentsPsychotic DisordersSchizophreniaBiomarkersHumansMagnetic Resonance ImagingAntipsychotic AgentsBiomarkers

Identifiers

PMID34642460
PMCPMC9001745

What OpenQuestion holds

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Registered trials

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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.