Evidence map›Paper›PMID 35236346›Full record

ArticleBMC biology2022

Lack of food intake during shift work alters the heart transcriptome and leads to cardiac tissue fibrosis and inflammation in rats.

Alexandra J Trott, Ben J Greenwell, Tejas R Karhadkar, Natali N Guerrero-Vargas, Carolina Escobar, Ruud M Buijs, Jerome S Menet

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 2 countries.

Alexandra J TrottDepartment of Biology, Texas A&M University, College Station, TX, 77843, USA.ORCID 0000-0003-0990-9993
Ben J GreenwellDepartment of Biology, Texas A&M University, College Station, TX, 77843, USA.ORCID 0000-0002-3879-7946
Tejas R KarhadkarDepartment of Biology, Texas A&M University, College Station, TX, 77843, USA.ORCID 0000-0002-9241-8003
Natali N Guerrero-VargasDepartamento de Anatomía, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City, Mexico.ORCID 0000-0002-6048-7047
Carolina EscobarDepartamento de Anatomía, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City, Mexico.ORCID 0000-0002-2974-7875
Ruud M BuijsInstituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City, Mexico.ORCID 0000-0003-3894-4632
Jerome S MenetDepartment of Biology, Texas A&M University, College Station, TX, 77843, USA. menet@bio.tamu.edu.ORCID 0000-0002-7682-0967
Texas A&M University · USUniversidad Nacional Autónoma de México · MX

Funding

Role of circadian rhythms in the susceptibility to Clostridium difficile infectionR21AI144454 · NIAID · TEXAS A&M UNIVERSITY · PI MENET, JEROME, SORG, JOE · 2020 to 2021
$397k
NIAID NIH HHS R21 AI144454
6 · The paper itself

Abstract

backgroundMany epidemiological studies revealed that shift work is associated with an increased risk of a number of pathologies, including cardiovascular diseases. An experimental model of shift work in rats has additionally been shown to recapitulate aspects of metabolic disorders observed in human shift workers, including increased fat content and impaired glucose tolerance, and used to demonstrate that restricting food consumption outside working hours prevents shift work-associated obesity and metabolic disturbance. However, the way distinct shift work parameters, such as type of work, quantity, and duration, affect cardiovascular function and the underlying mechanisms, remains poorly understood. Here, we used the rat as a model to characterize the effects of shift work in the heart and determine whether they can be modulated by restricting food intake during the normal active phase.

resultsWe show that experimental shift work reprograms the heart cycling transcriptome independently of food consumption. While phases of rhythmic gene expression are distributed across the 24-h day in control rats, they are clustered towards discrete times in shift workers. Additionally, preventing food intake during shift work affects the expression level of hundreds of genes in the heart, including genes encoding components of the extracellular matrix and inflammatory markers found in transcriptional signatures associated with pressure overload and cardiac hypertrophy. Consistent with this, the heart of shift worker rats not eating during work hours, but having access to food outside of shift work, exhibits increased collagen 1 deposition and displays increased infiltration by immune cells. While maintaining food access during shift work has less effects on gene expression, genes found in transcriptional signatures of cardiac hypertrophy remain affected, and the heart of shift worker rats exhibits fibrosis without inflammation.

conclusionsTogether, our findings unraveled differential effects of food consumption on remodeled transcriptional profiles of the heart in shift worker rats. They also provide insights into how shift work affects cardiac function and suggest that some interventions aiming at mitigating metabolic disorders in shift workers may have adverse effects on cardiovascular diseases.

Indexed as

Cardiovascular DiseasesMetabolic DiseasesShift Work ScheduleAnimalsCardiomegalyCircadian RhythmEatingFibrosisInflammationRatsTranscriptomeCardiac fibrosisCardiovascular diseasesCircadian rhythmsHeartInflammationRNA-SeqShift workTranscriptome

Identifiers

PMID35236346
PMCPMC8892784
OpenAlexW4214916879

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.