Evidence map›Paper›PMID 38487016›Full record

ArticleiScience2024

Extensive dynamic changes in the human transcriptome and its circadian organization during prolonged bed rest.

Simon N Archer, Carla Möller-Levet, María-Ángeles Bonmatí-Carrión, Emma E Laing, Derk-Jan Dijk

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Simon N ArcherSurrey Sleep Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK.
Carla Möller-LevetBioinformatics Core Facility, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK.
María-Ángeles Bonmatí-CarriónSurrey Sleep Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK.
Emma E LaingDepartment of Microbiology, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK.
Derk-Jan DijkSurrey Sleep Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, UK.
University of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physiological and molecular processes including the transcriptome change across the 24-h day, driven by molecular circadian clocks and behavioral and systemic factors. It is not known how the temporal organization of the human transcriptome responds to a long-lasting challenge. This may, however, provide insights into adaptation, disease, and recovery. We investigated the human 24-h time series transcriptome in 20 individuals during a 90-day constant bed rest protocol. We show that the protocol affected 91% of the transcriptome with 76% of the transcriptome still affected after 10 days of recovery. Dimensionality-reduction approaches revealed that many affected transcripts were associated with mRNA translation and immune function. The number, amplitude, and phase of rhythmic transcripts, including clock genes, varied significantly across the challenge. These findings of long-lasting changes in the temporal organization of the transcriptome have implications for understanding the mechanisms underlying health consequences of conditions such as microgravity and bed rest.

Indexed as

Expression studyHuman specimenMedical researchTranscriptomics

Identifiers

PMID38487016
PMCPMC10937834
OpenAlexW4392059188

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.