Evidence map›Paper›PMID 39536750›Full record

ArticleCell reports. Medicine2024

Discovery of biophysical rate laws from the electronic health record enables real-time liver injury estimation from transaminase dynamics.

Marc S Sherman, Wolfram Goessling

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Marc S ShermanDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Harvard University, Boston, MA, USA; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: msherman@mgh.harvard.edu.
Wolfram GoesslingDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Harvard University, Boston, MA, USA; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Stem Cell Institute, Cambridge, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA. Electronic address: wgoessling@mgh.harvard.edu.

Funding

A Community Zebrafish Resource for Modeling GWAS BiologyR24OD017870 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI GOESSLING, WOLFRAM, MACRAE, CALUM A. · 2014 to 2021
$6.3M
Estrogen Regulation of Hepatic GrowthR01DK090311 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI GOESSLING, WOLFRAM · 2011 to 2020
$4.9M
Metabolic Regulation of Liver GrowthR01DK105198 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI GOESSLING, WOLFRAM · 2016 to 2020
$2.7M
NIDDK NIH HHS R01 DK090311NIDDK NIH HHS R01 DK105198NIH HHS R24 OD017870
6 · The paper itself

Abstract

Alanine (ALT) and aspartate (AST) aminotransferases are standard-of-care biomarkers for liver injury though their temporal dynamics during injury and resolution remain incompletely characterized. Here, we analyze aminotransferase kinetics to determine whether rate laws can be ascertained during acute liver injury agnostic to etiology. From 6.5 million AST and ALT measurements in 91,086 patients, we identify a single rate-limiting step in transaminase decline enabling the discovery of plasma clearance rates of AST (1.13 days

Indexed as

Alanine TransaminaseAspartate AminotransferasesElectronic Health RecordsLiverAdultBiomarkersFemaleHepatocytesHumansKineticsMaleMiddle AgedTransaminasesAlanine TransaminaseAspartate AminotransferasesBiomarkersTransaminasesALT half-lifeAST half-lifebiomarkershepatologyliver injurymathematical modelingplasma clearancerate lawsreal-time indextransaminases

Identifiers

PMID39536750
PMCPMC11604406

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.