Evidence map›Paper›PMID 24139945›Full record

ReviewThe American journal of pathology2014

Elucidating the metabolic regulation of liver regeneration.

Jiansheng Huang, David A Rudnick

Abstract readReview
In one paragraph

Review in The American journal of pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
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  8. Review
  9. Acta biochimica et biophysica Sinica · 2025
    Article
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  11. Review
  12. Article
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  20. Article

13 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

2 authors.

Jiansheng HuangDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri.
David A RudnickDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri; Department of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri. Electronic address: rudnick_d@kids.wustl.edu.

Funding

Washington University DDRCC Supplemental Equipment RequestP30DK052574 · NIDDK · WASHINGTON UNIVERSITY · PI Nicholas O. Davidson · 2000 to 2026
$30.8M
Hepatobiliary Pathophysiology of Liver RegenerationR01DK068219 · NIDDK · WASHINGTON UNIVERSITY · PI RUDNICK, DAVID A · 2005 to 2009
$1.2M
LIVER REGENERATION IN PEDIATRIC LIVER DISEASEK08DK002900 · NIDDK · WASHINGTON UNIVERSITY · PI RUDNICK, DAVID A · 2000 to 2004
$546k
NIDDK NIH HHS DK-02900NIDDK NIH HHS DK-068219NIDDK NIH HHS K08 DK002900NIDDK NIH HHS P30 DK052574NIDDK NIH HHS P30-DK52574NIDDK NIH HHS R01 DK068219
6 · The paper itself

Abstract

The regenerative capability of liver is well known, and the mechanisms that regulate liver regeneration are extensively studied. Such analyses have defined general principles that govern the hepatic regenerative response and implicated specific extracellular and intracellular signals as regulated during and essential for normal liver regeneration. Nevertheless, the most proximal events that stimulate liver regeneration and the distal signals that terminate this process remain incompletely understood. Recent data suggest that the metabolic response to hepatic insufficiency might be the proximal signal that initiates regenerative hepatocellular proliferation. This review provides an overview of the data in support of a metabolic model of liver regeneration and reflects on the clinical implications and areas for further study suggested by these findings.

Indexed as

Liver RegenerationAnimalsEpigenesis, GeneticGlucoseHepatocytesHumansLiverXenobioticsGlucoseXenobiotics

Identifiers

PMID24139945
PMCPMC3906487

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.