Evidence map›Paper›PMID 38239571›Full record

ArticleConsortium psychiatricum2023

Dysregulation of Long Intergenic Non-Coding RNA Expression in the Schizophrenia Brain.

Tuan Nguyen, Olga I Efimova, Artem V Tokarchuk, Anna Yu Morozova, Yana A Zorkina, Denis S Andreyuk, George P Kostyuk, Philipp E Khaitovich

Open access · diamondAbstract read
In one paragraph

Article in Consortium psychiatricum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Tuan NguyenV. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology.ORCID https://orcid.org/0000-0002-1703-0404
Olga I EfimovaV. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology.ORCID https://orcid.org/0000-0003-0842-3203
Artem V TokarchukV. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology.ORCID https://orcid.org/0000-0002-9234-5828
Anna Yu MorozovaV. Serbsky National Medical Research Centre of Psychiatry and Narcology of the Ministry of Health of the Russian Federation.ORCID https://orcid.org/0000-0002-8681-5299
Yana A ZorkinaV. Serbsky National Medical Research Centre of Psychiatry and Narcology of the Ministry of Health of the Russian Federation.ORCID https://orcid.org/0000-0003-0247-2717
Denis S AndreyukMental-health Clinic No. 1 named after N.A. Alexeev.ORCID https://orcid.org/0000-0002-3349-5391
George P KostyukMental-health Clinic No. 1 named after N.A. Alexeev.ORCID https://orcid.org/0000-0002-3073-6305
Philipp E KhaitovichV. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology.ORCID https://orcid.org/0000-0002-4305-0054
Skolkovo Institute of Science and Technology · RUMinistry of Health of the Russian Federation · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranscriptomic studies of the brains of schizophrenia (SZ) patients have produced abundant but largely inconsistent findings about the disorders pathophysiology. These inconsistencies might stem not only from the heterogeneous nature of the disorder, but also from the unbalanced focus on particular cortical regions and protein-coding genes. Compared to protein-coding transcripts, long intergenic non-coding RNA (lincRNA) display substantially greater brain region and disease response specificity, positioning them as prospective indicators of SZ-associated alterations. Further, a growing understanding of the systemic character of the disorder calls for a more systematic screening involving multiple diverse brain regions.

aimWe aimed to identify and interpret alterations of the lincRNA expression profiles in SZ by examining the transcriptomes of 35 brain regions.

methodsWe measured the transcriptome of 35 brain regions dissected from eight adult brain specimens, four SZ patients, and four healthy controls, using high-throughput RNA sequencing. Analysis of these data yielded 861 annotated human lincRNAs passing the detection threshold.

resultsOf the 861 detected lincRNA, 135 showed significant region-dependent expression alterations in SZ (two-way ANOVA, BH-adjusted

conclusionOur study highlights the utility of a systematic brain transcriptome analysis relying on the expression profiles measured across multiple brain regions and singles out white matter regions as a prospective target for further SZ research.

Indexed as

brainlincRNAlong intergenic non-coding RNAschizophreniatranscriptomewhite matter

Identifiers

PMID38239571
PMCPMC10790728
OpenAlexW4311856818

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.