Evidence map›Paper›PMID 21383957›Full record

ReviewNuclear receptor signaling2010

Deciphering the nuclear bile acid receptor FXR paradigm.

Salvatore Modica, Raffaella M Gadaleta, Antonio Moschetta

Open access · hybridAbstract readReview
In one paragraph

Review in Nuclear receptor signaling, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

159 citing papers in PubMed, 2 syntheses or guidelines pooled it, 282 citations in OpenAlex.

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99 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Salvatore ModicaLaboratory of Lipid Metabolism and Cancer, Consorzio Mario Negri Sud, Santa Maria Imbaro, Chieti, Italy.
Raffaella M Gadaleta
Antonio Moschetta
Mario Negri Sud Foundation · ITUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Originally called retinoid X receptor interacting protein 14 (RIP14), the farnesoid X receptor (FXR) was renamed after the ability of its rat form to bind supra-physiological concentrations of farnesol. In 1999 FXR was de-orphanized since primary bile acids were identified as natural ligands. Strongly expressed in the liver and intestine, FXR has been shown to be the master transcriptional regulator of several entero-hepatic metabolic pathways with relevance to the pathophysiology of conditions such as cholestasis, fatty liver disease, cholesterol gallstone disease, intestinal inflammation and tumors. Furthermore, given the importance of FXR in the gut-liver axis feedbacks regulating lipid and glucose homeostasis, FXR modulation appears to have great input in diseases such as metabolic syndrome and diabetes. Exciting results from several cellular and animal models have provided the impetus to develop synthetic FXR ligands as novel pharmacological agents. Fourteen years from its discovery, FXR has gone from bench to bedside; a novel nuclear receptor ligand is going into clinical use.

Indexed as

AnimalsAtherosclerosisBile Acids and SaltsCholestasisDiabetes MellitusGallstonesGastrointestinal Stromal TumorsGene Expression RegulationGlucoseHyperlipidemiasIntestinal DiseasesLiver NeoplasmsLiver RegenerationRatsReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearBile Acids and SaltsGlucoseReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearTranscription FactorsTriglycerides

Identifiers

PMID21383957
PMCPMC3049226
OpenAlexW1677336966

What OpenQuestion holds

Textmetadata
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.