Evidence map›Paper›PMID 28243224›Full record

ReviewFrontiers in endocrinology2017

Rodent Models for the Analysis of Tissue Clock Function in Metabolic Rhythms Research.

Anthony H Tsang, Mariana Astiz, Brinja Leinweber, Henrik Oster

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  15. Mechanisms of Communication in the Mammalian Circadian Timing System.International journal of molecular sciences · 2019
    Review
  16. The role of the circadian clock system in physiology.Pflugers Archiv : European journal of physiology · 2018
    Review
  17. Review
  18. Review
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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

4 authors at 1 institution in 2 countries.

Anthony H TsangChronophysiology Group, Medical Department I, University of Lübeck, Lübeck, Germany; Department of Clinical Biochemistry, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Mariana AstizChronophysiology Group, Medical Department I, University of Lübeck , Lübeck , Germany.
Brinja LeinweberChronophysiology Group, Medical Department I, University of Lübeck , Lübeck , Germany.
Henrik OsterChronophysiology Group, Medical Department I, University of Lübeck , Lübeck , Germany.
University of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The circadian timing system consists on a distributed network of cellular clocks that together coordinate 24-h rhythms of physiology and behavior. Clock function and metabolism are tightly coupled, from the cellular to the organismal level. Genetic and non-genetic approaches in rodents have been employed to study circadian clock function in the living organism. Due to the ubiquitous expression of clock genes and the intricate interaction between the circadian system and energy metabolism, genetic approaches targeting specific tissue clocks have been used to assess their contribution in systemic metabolic processes. However, special requirements regarding specificity and efficiency have to be met to allow for valid conclusions from such studies. In this review, we provide a brief summary of different approaches developed for dissecting tissue clock function in the metabolic context in rodents, compare their strengths and weaknesses, and suggest new strategies in assessing tissue clock output and the consequences of circadian clock disruption

Indexed as

Bmal1clock genesconditional knockoutCRE-loxP systemgene targetingmetabolism

Identifiers

PMID28243224
PMCPMC5304405
OpenAlexW2588077667

What OpenQuestion 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 OpenQuestion graph.