Evidence map›Paper›PMID 34775657›Full record

ReviewLiver international : official journal of the International Association for the Study of the Liver2022

Gamma-Glutamyl Transferase (γ-GT) - an old dog with new tricks?

Paul N Brennan, John F Dillon, Elliot B Tapper

Abstract readReview
In one paragraph

Review in Liver international : official journal of the International Association for the Study of the Liver, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Paul N BrennanCentre for Regenerative Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-8368-1478
John F DillonDivision of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.ORCID 0000-0002-2164-4476
Elliot B TapperDivision of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-0839-1515

Funding

Optimizing Measures for Clinical Trials in Covert Hepatic EncephalopathyK23DK117055 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TAPPER, ELLIOT · 2019 to 2022
$776k
NIDDK NIH HHS K23 DK117055
6 · The paper itself

Abstract

Gamma-Glutamyl Transferase (γGT) is a key transferase involved in the transpeptidation of functional gamma-glutamyl groups to various receptor moieties. It performs important roles in antioxidant defence mechanisms, particularly glutathione recycling, xenobiotic metabolism, but analogously may also have a pro-oxidant role. γGT is very sensitive for the diagnosis of liver injury, although it has poor specificity for particular aetiologies. It has been used to reflect temporal changes as a form of monitoring depending on aetiology. Given its cellular role in antioxidant function, it has been investigated as a surrogate biomarker of oxidative stress. It has also been found to be a predictor of mortality across a spectra of non-hepatic disease pathologies, from metabolic and cardiovascular risk to chronic kidney disease and neoplasia. Similarly, it also remains of interest to the insurance industry given an apparent ability to predict mortality, in addition to a historical interest from law enforcement as a marker of chronic alcohol ingestion. Here, we review some of the unique characteristics of this important enzyme, previously considered as a mere specific marker of liver dysfunction, but now with clear extra-hepatic implications and novel applications and utility.

Indexed as

gamma-GlutamyltransferaseGlutathioneBiomarkersLiverOxidative StressBiomarkersgamma-GlutamyltransferaseGlutathionecholestasisgamma-glutamyl transferase (γGT)glutamyl cycleglutathioneprognostication

Identifiers

PMID34775657
PMCPMC11165564

What OpenQuestion holds

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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.