Evidence map›Paper›PMID 28057729›Full record

ArticleGenome biology and evolution2017

LXRα and LXRβ Nuclear Receptors Evolved in the Common Ancestor of Gnathostomes.

Elza Fonseca, Raquel Ruivo, Mónica Lopes-Marques, Huixian Zhang, Miguel M Santos, Byrappa Venkatesh, L Filipe C Castro

Abstract read
In one paragraph

Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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.

Elza FonsecaCIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, U. Porto, Portugal.
Raquel RuivoCIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, U. Porto, Portugal.
Mónica Lopes-MarquesCIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, U. Porto, Portugal.
Huixian ZhangInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Biopolis, Singapore.
Miguel M SantosCIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, U. Porto, Portugal.
Byrappa VenkateshInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Biopolis, Singapore.
L Filipe C CastroCIIMAR/CIMAR - Interdisciplinary Centre of Marine and Environmental Research, U. Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear receptors (NRs) regulate numerous aspects of the endocrine system. They mediate endogenous and exogenous cues, ensuring a homeostatic control of development and metabolism. Gene duplication, loss and mutation have shaped the repertoire and function of NRs in metazoans. Here, we examine the evolution of a pivotal orchestrator of cholesterol metabolism in vertebrates, the liver X receptors (LXRs). Previous studies suggested that LXRα and LXRβ genes emerged in the mammalian ancestor. However, we show through genome analysis and functional assay that bona fide LXRα and LXRβ orthologues are present in reptiles, coelacanth and chondrichthyans but not in cyclostomes. These findings show that LXR duplicated before gnathostome radiation, followed by asymmetric paralogue loss in some lineages. We suggest that a tighter control of cholesterol levels in vertebrates was achieved through the exploitation of a wider range of oxysterols, an ability contingent on ligand-binding pocket remodeling.

Indexed as

Evolution, MolecularAnimalsCholesterolLipid MetabolismLiver X ReceptorsPhylogenyVertebratesCholesterolLiver X Receptorscholesterolchordatesliver X receptornuclear receptors

Identifiers

PMID28057729
PMCPMC5381633

What OpenQuestion holds

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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.