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Fasting and time of day independently modulate circadian rhythm relevant gene expression in adipose and skin tissue

Overview of attention for article published in BMC Genomics, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Title
Fasting and time of day independently modulate circadian rhythm relevant gene expression in adipose and skin tissue
Published in
BMC Genomics, September 2018
DOI 10.1186/s12864-018-4997-y
Pubmed ID
Authors

Alexessander Couto Alves, Craig A. Glastonbury, Julia S. El-Sayed Moustafa, Kerrin S. Small

Abstract

Intermittent fasting and time-restricted diets are associated with lower risk biomarkers for cardio-metabolic disease. The shared mechanisms underpinning the similar physiological response to these events is not established, but circadian rhythm could be involved. Here we investigated the transcriptional response to fasting in a large cross-sectional study of adipose and skin tissue from healthy volunteers (N = 625) controlling for confounders of circadian rhythm: time of day and season. We identified 367 genes in adipose and 79 in skin whose expression levels were associated (FDR < 5%) with hours of fasting conditionally independent of time of day and season, with 19 genes common to both tissues. Among these genes, we replicated 38 in human, 157 in non-human studies, and 178 are novel associations. Fasting-responsive genes were enriched for regulation of and response to circadian rhythm. We identified 99 genes in adipose and 54 genes in skin whose expression was associated to time of day; these genes were also enriched for circadian rhythm processes. In genes associated to both exposures the effect of time of day was stronger and in an opposite direction to that of hours fasted. We also investigated the relationship between fasting and genetic regulation of gene expression, including GxE eQTL analysis to identify personal responses to fasting. This study robustly implicates circadian rhythm genes in the response to hours fasting independently of time of day, seasonality, age and BMI. We identified tissue-shared and tissue-specific differences in the transcriptional response to fasting in a large sample of healthy volunteers.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 26%
Student > Ph. D. Student 6 8%
Student > Doctoral Student 5 7%
Lecturer 5 7%
Student > Master 5 7%
Other 13 18%
Unknown 19 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 19%
Medicine and Dentistry 11 15%
Nursing and Health Professions 9 13%
Agricultural and Biological Sciences 7 10%
Mathematics 1 1%
Other 4 6%
Unknown 26 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 July 2023.
All research outputs
#2,967,445
of 24,036,420 outputs
Outputs from BMC Genomics
#999
of 10,884 outputs
Outputs of similar age
#59,720
of 339,481 outputs
Outputs of similar age from BMC Genomics
#26
of 194 outputs
Altmetric has tracked 24,036,420 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,884 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.