Evidence map›Paper›PMID 29708511›Full record

ArticleThe Journal of clinical investigation2018

Prometheus revisited.

Kai-Yuan Chen, Xiling Shen, Anna Mae Diehl

Open access · bronzeAbstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Kai-Yuan Chen
Xiling Shen
Anna Mae Diehl
Duke University · US

Funding

Robust Control of the Stem Cell NicheR35GM122465 · NIGMS · TERASAKI INSTITUTE FOR BIOMEDICAL INNOVATION · PI Xiling Shen · 2017 to 2026
$5.6M
Hedgehog Signaling and Adult Liver RegenerationR01DK077794 · NIDDK · DUKE UNIVERSITY · PI DIEHL, ANNA MAE ELIZABETH · 2008 to 2020
$4.6M
TNF Alpha and Recovery from Alchoholic Liver InjuryR37AA010154 · NIAAA · DUKE UNIVERSITY · PI DIEHL, ANNA MAE ELIZABETH · 2009 to 2018
$3.8M
NIAAA NIH HHS R37 AA010154NIDDK NIH HHS R01 DK077794NIGMS NIH HHS R35 GM122465
6 · The paper itself

Abstract

The liver's extraordinary ability to regenerate has been known since the myth of Prometheus, but the mechanisms involved are still being discovered. Various small animal models have been used in this quest. Two of the most popular include partial hepatectomy (PHx), in which two-thirds of the liver mass is surgically removed to evoke a massive, immediate stimulus for regeneration, and prolonged exposure to toxins that kill liver cells more gradually, provoking chronic regenerative activity. In either case, multiple types of cells must interact effectively to repopulate the organ with functional mature hepatocytes and thus assure ultimate restoration of healthy liver structure and function. This complexity has confounded efforts to distinguish specific changes that occur in cells that repopulate the hepatocyte compartment from changes in other cell populations, including subpopulations of hepatocytes or hepatocyte precursors that do not become regenerative. In the current issue of the JCI, Wang et al. used translating ribosome affinity purification followed by high-throughput RNA sequencing (TRAP-seq) to isolate mRNAs from repopulating hepatocytes in order to profile gene expression specifically in the hepatocytes that regenerate the liver following toxic injury imposed by inherent byproducts of tyrosine metabolism. This innovative methodology can potentially be used to design therapeutic strategies for liver regeneration.

Indexed as

CystineGlutamic AcidAnimalsAntiportersHepatectomyHepatocytesLiverLiver RegenerationAntiportersCystineGlutamic Acid

Identifiers

PMID29708511
PMCPMC5983318
OpenAlexW4243699761

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.