Evidence map›Paper›PMID 38001778›Full record

ArticleAntioxidants (Basel, Switzerland)2023

Sirtuin1 Mediates the Protective Effects of Echinacoside against Sepsis-Induced Acute Lung Injury via Regulating the NOX4-Nrf2 Axis.

Weixi Xie, Lang Deng, Miao Lin, Xiaoting Huang, Rui Qian, Dayan Xiong, Wei Liu, Siyuan Tang

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
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

8 authors at 1 institution in 1 country.

Weixi XieXiangya Nursing School, Central South University, Changsha 410013, China.
Lang DengXiangya Nursing School, Central South University, Changsha 410013, China.
Miao LinXiangya Nursing School, Central South University, Changsha 410013, China.
Xiaoting HuangXiangya Nursing School, Central South University, Changsha 410013, China.
Rui QianXiangya Nursing School, Central South University, Changsha 410013, China.
Dayan XiongXiangya Nursing School, Central South University, Changsha 410013, China.
Wei LiuXiangya Nursing School, Central South University, Changsha 410013, China.
Siyuan TangXiangya Nursing School, Central South University, Changsha 410013, China.
Central South University · CN

Funding

Natural Science Foundation of Hunan Province, China 2020JJ5828The open Sharing Fund for the Large-scale Instruments and Equipments of Central South University CSUZC202251This research was funded by the Fundamental Research Funds for the Central Universities of Central South University CX20210344
6 · The paper itself

Abstract

Currently, the treatment for sepsis-induced acute lung injury mainly involves mechanical ventilation with limited use of drugs, highlighting the urgent need for new therapeutic options. As a pivotal aspect of acute lung injury, the pathologic activation and apoptosis of endothelial cells related to oxidative stress play a crucial role in disease progression, with NOX4 and Nrf2 being important targets in regulating ROS production and clearance. Echinacoside, extracted from the traditional Chinese herbal plant

Indexed as

acute lung injuryechinacosideNOX4Nrf2oxidative stressSIRT1

Identifiers

PMID38001778
PMCPMC10669561
OpenAlexW4388159119

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.