Evidence map›Paper›PMID 21696522›Full record

ArticleHepatology research : the official journal of the Japan Society of Hepatology2011

Toll-like receptor signaling in liver regeneration, fibrosis and carcinogenesis.

Ekihiro Seki, Eekjoong Park, Jiro Fujimoto

Open access · greenAbstract read
In one paragraph

Article in Hepatology research : the official journal of the Japan Society of Hepatology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  13. RNA mFrontiers in immunology · 2024
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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 2 countries.

Ekihiro SekiDivision of Gastroenterology, Department of Medicine, University of California San Diego, School of Medicine, La Jolla, California, USA; and Department of Surgery, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan.
Eekjoong Park
Jiro Fujimoto
University of California, San Diego · USHyogo Medical University · JP

Funding

LPS binding to TLR4 regulates hepatic stellate cell activation and fibrosisR01DK085252 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EKIHIRO SEKI · 2011 to 2026
$4.8M
Synergistic Actions By Multiple Toll-Like Receptors in Alcoholic Liver DiseaseR01AA020172 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEKI, EKIHIRO · 2010 to 2014
$1.8M
NIAAA NIH HHS R01 AA020172NIDDK NIH HHS R01 DK085252
6 · The paper itself

Abstract

Toll-like receptors (TLR) are the germline-coded pattern recognition receptors that sense microbial products. This signaling orchestrates complex signaling pathways that induce expression of inflammatory genes for host defense against invading microorganisms. Recent studies illustrate the role of TLR on non-infectious inflammatory diseases. The liver has a unique anatomy bridging with the intestine by portal vein and bile ducts. This allows delivery of products from intestinal microflora directly into the liver. Subsequently, microbial products cause acute and chronic inflammation through TLR signaling in the liver. Not only exogenous products, but endogenous denatured products released from dying cells also facilitate inflammation even in sterile conditions. Consequently, these responses elicit tissue repairing including liver regeneration and fibrogenesis. An aberrant regenerative response may lead to hepatic carcinogenesis. In this review, we highlight the recently accumulated knowledge about TLR signaling in liver regeneration, fibrosis and carcinogenesis.

Identifiers

PMID21696522
PMCPMC3754784
OpenAlexW2156159854

What OpenQuestion holds

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LicenceTDM
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.