Evidence map›Paper›PMID 38434364›Full record

ArticleHeliyon2024

Anti-sepsis effect of Xiaochaihu decoction based on the TLR4/MyD88/NF-κB signalling pathway.

Qingxin Yang, Yulong Wang, Gefei Cao, Xiaoqing Li, Tinghui Zhao

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. 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
2.1field-weighted citation impact, top 14% 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, 3 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 2 institutions in 1 country.

Qingxin YangDepartment of Pharmacy, MianYang Orthopaedic Hospital, Mianyang, 621000, PR China.
Yulong WangOffice of Party and Government Affairs, MianYang Orthopaedic Hospital, Mianyang, 621000, PR China.
Gefei CaoOffice of Party and Government Affairs, MianYang Orthopaedic Hospital, Mianyang, 621000, PR China.
Xiaoqing LiPharmaceutical Department, MianYang Hospital of Traditional Chinese Medicine, Mianyang, 621000, PR China.
Tinghui ZhaoBurn and Plastic Surgery, MianYang Central Hospital, Mianyang, 621000, PR China.
Sichuan Mianyang 404 Hospital · CNMianyang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study were to explore the protective effect of Xiaochaihu decoction in mice with sepsis induced by intraperitoneal injection; to explore its anti-inflammatory effect on the TLR4-MyD88-NF-κB signalling pathway; and to explore the main material basis of the anti-inflammatory effect of Xiaochaihu decoction, with the aim of supplementing and expanding the associated research and providing a scientific foundation for the clinical use of the decoction. The effects of Xiaochaihu decoction on septic mice were analysed by measurements of white blood cells (WBC) and Platelets (PLT); Nitric Oxide (NO) level in serum; IL-6, IL-1β and TNF-α levels in serum; RT-PCR; Haematoxylin-Eosin (HE) immunohistochemistry; western blotting (WB). The results showed the excellent in vivo anti-inflammatory effects of Xiaochaihu decoction in LPS-induced septic mice, through down regulation of the gene and protein expression of TLR4, MYD88, TRAF6, IKK, IKBα and p65 and the subsequent reduction in the release of inflammatory mediators IL-6, IL-1β, TNF-α and NO. Moreover, significant anti-septic effect was observed from high and medium doses of Xiaochaihu decoction, but not from the low dose.

Indexed as

LPSMiceMyD88NF-κBSepsisTLR4Xiaochaihu decoction

Identifiers

PMID38434364
PMCPMC10907734
OpenAlexW4391972848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.