Evidence map›Paper›PMID 34884814›Full record

ArticleInternational journal of molecular sciences2021

Transcriptomics Changes in the Peritoneum of Mice with Lipopolysaccharide-Induced Peritonitis.

Shaoguang Liu, Shaotong Zhang, Yulong Sun, Wence Zhou

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

4 authors at 3 institutions in 1 country.

Shaoguang LiuThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Shaotong ZhangThe Clinical Medical College, Ningxia Medical University, Yinchuan 750004, China.
Yulong SunKey Laboratory for Space Biosciences & Biotechnology, Institute of Special Environmental Biophysics, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0000-0002-6811-5926
Wence ZhouThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Lanzhou University · CNNingxia Medical University · CNNorthwestern Polytechnical University · CN

Funding

the Gansu Provincial Science and Technology Department Foundation No. 20JR5RA149the Natural Science Basic Research Plan in Shaanxi Province of China No. 2020JM-148
6 · The paper itself

Abstract

Peritonitis caused by LPS is a severe clinical challenge, which causes organ damage and death. However, the mechanism of LPS-induced peritonitis has not been fully revealed yet. Here, we investigated the transcriptome profile of the peritoneal tissue of LPS-induced peritonitis in mice. A model of LPS-induced peritonitis in mice was established (LPS 10 mg/kg, i.p.), and the influence of TAK 242 (TLR4 inhibitor) on the level of inflammatory cytokines in mouse peritoneal lavage fluid was investigated by using an ELISA test. Next, the peritoneal tissues of the three groups of mice (Control, LPS, and LPS+TAK 242) (

Indexed as

AnimalsCytokinesGene Expression ProfilingGene Expression RegulationLipopolysaccharidesMaleMiceMice, Inbred C57BLPeritoneal LavagePeritoneumPeritonitisSignal TransductionSulfonamidesToll-Like Receptor 4TranscriptomeCytokinesethyl 6-(N-(2-chloro-4-fluorophenyl)sulfamoyl)cyclohex-1-ene-1-carboxylateLipopolysaccharidesSulfonamidesTlr4 protein, mouseToll-Like Receptor 4bioinformaticsLPSmolecular dynamicsperitonitisRNA sequencingtranscriptomic profiles

Identifiers

PMID34884814
PMCPMC8657704
OpenAlexW3216419825

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.