Evidence map›Paper›PMID 29471546›Full record

ArticleSchizophrenia bulletin2019

Longitudinal Analyses of Blood Transcriptome During Conversion to Psychosis.

Boris Chaumette, Oussama Kebir, Juliette Pouch, Bertrand Ducos, Fekrije Selimi, ICAAR study group, Raphael Gaillard, Marie-Odile Krebs

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Animal Models of Relevance to the Schizophrenia Prodrome.Biological psychiatry global open science · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

8 authors at 4 institutions in 1 country.

Boris ChaumetteUniversite Paris Descartes, Université Sorbonne Paris Cite, Paris, France.
Oussama KebirUniversite Paris Descartes, Université Sorbonne Paris Cite, Paris, France.
Juliette PouchPlateforme qPCR-HD-GPC, Ecole Normale Supérieure, Fondation Pierre-Gilles de Gennes, PSL Research University, Paris, France.
Bertrand DucosPlateforme qPCR-HD-GPC, Ecole Normale Supérieure, Fondation Pierre-Gilles de Gennes, PSL Research University, Paris, France.
Fekrije SelimiCenter for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS UMR and INSERM U1050, Paris, France.
ICAAR study group
Raphael GaillardUniversite Paris Descartes, Université Sorbonne Paris Cite, Paris, France.
Marie-Odile KrebsUniversite Paris Descartes, Université Sorbonne Paris Cite, Paris, France.
Délégation Paris 5 · FRCentre National de la Recherche Scientifique · FRInserm · FRUniversité Paris Sciences et Lettres · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biological processes associated with the onset of schizophrenia remain largely unknown. Current hypotheses favor gene × environment interactions as supported by our recent report about DNA methylation changes during the onset of psychosis. Here, we conducted the first longitudinal transcriptomic analysis of blood samples from 31 at-risk individuals who later converted to psychosis and 63 at-risk individuals who did not. Individuals were followed for a maximum of 1 year. Blood samples were collected at baseline and at the end of follow-up and individuals served as their own controls. Differentially expressed genes between the 2 groups were identified using the RNA sequencing of an initial discovery subgroup (n = 15 individuals). The most promising results were replicated using high-throughput real-time qPCR in the whole cohort (n = 94 individuals). We identified longitudinal changes in 4 brain-expressed genes based on RNAseq analysis. One of these genes (CPT1A) was replicated in the whole cohort. The previously observed hypermethylation in NRP1 and GSTM5 during the onset of psychosis correlated with a decrease in corresponding gene expression. RNA sequencing also identified 2 co-expression networks that were impaired after conversion compared with baseline-the Wnt pathway including AKT1, CPT1A and semaphorins, and the Toll-like receptor pathway, related to innate immunity. This longitudinal study of transcriptomic changes in individuals with at-risk mental state revealed alterations during conversion to psychosis in pathways and genes relevant to schizophrenia. These results may be a first step toward better understanding psychosis onset. They may also help to identify new biomarkers and targets for disease-modifying therapeutic strategies.

Indexed as

Disease ProgressionTranscriptomeAdolescentAdultFemaleHigh-Throughput Nucleotide SequencingHumansLongitudinal StudiesMaleProdromal SymptomsPsychotic DisordersRiskRNA, MessengerSequence Analysis, RNAYoung AdultRNA, Messenger

Identifiers

PMID29471546
PMCPMC6293211
OpenAlexW2790821441

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.