Evidence map›Paper›PMID 25651466›Full record

ArticleSurgical infections2015

Endogenous interleukin 18 suppresses hyperglycemia and hyperinsulinemia during the acute phase of endotoxemia in mice.

Hayato Yamashita, Michiko Aoyama-Ishikawa, Miki Takahara, Chisato Yamauchi, Taketo Inoue, Makoto Miyoshi, Noriaki Maeshige, Makoto Usami, Atsunori Nakao, Joji Kotani

Open access · greenAbstract read
In one paragraph

Article in Surgical infections, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Bioactive components and clinical potential ofFrontiers in pharmacology · 2025
    Review
  2. Article
  3. Observational
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

10 authors at 2 institutions in 1 country.

Hayato Yamashita1 Department of Biophysics, Kobe University Graduate School of Health Sciences , Hyogo, Japan .
Michiko Aoyama-Ishikawa
Miki Takahara
Chisato Yamauchi
Taketo Inoue
Makoto Miyoshi
Noriaki Maeshige
Makoto Usami
Atsunori Nakao
Joji Kotani
Hyogo University of Health Sciences · JPHyogo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperglycemia associated with insulin resistance is common among critically ill patients. Interleukin (IL)-18 has been linked with hyperglycemia and insulin resistance in chronic disease, but the relation between IL-18 and insulin resistance during critical illness was unexplored. This study investigated whether IL-18 modulates hyperglycemia and insulin resistance during acute inflammation.

methodsWe injected lipopolysaccharide (LPS) 40 mg/kg into wild-type (WT) and IL-18 knockout (KO) mice to induce endotoxemia and examined insulin resistance and insulin-dependent signaling pathways during the acute phase.

resultsDuring the first hour after LPS treatment, IL-18 KO mice showed higher blood glucose and insulin and less insulin receptor substrate-1 and less phosphorylated Akt in the liver compared with WT mice. Interleukin-18 KO mice exhibited better survival after LPS treatment.

conclusionsThe findings suggest that endogenous IL-18 may attenuate hyperglycemia and modulate insulin signaling in liver. Accordingly, IL-18 may modulate glucose tolerance during acute inflammation.

Indexed as

AnimalsEndotoxemiaHyperglycemiaHyperinsulinismInsulin ResistanceInterleukin-18LipopolysaccharidesLiverMaleMice, Inbred C57BLMice, KnockoutSignal TransductionInterleukin-18Lipopolysaccharides

Identifiers

PMID25651466
PMCPMC4363915
OpenAlexW1627970414

What OpenQuestion holds

Textmetadata
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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.