Evidence map›Paper›PMID 33443681›Full record

ArticleMolecular neurobiology2021

Cottonseed Oil Alleviates Ischemic Stroke-Induced Oxidative Stress Injury Via Activating the Nrf2 Signaling Pathway.

Min Liu, Hao Li, Lixia Zhang, Zhipeng Xu, Yuxiang Song, Xiaoyan Wang, Ruitong Chu, Yunming Xiao, Miao Sun, Yulong Ma and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  7. Polyphenolic metabolites inFrontiers in pharmacology · 2025
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  8. Nutrients · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Oxidative Injury in Ischemic Stroke: A Focus on NADPH Oxidase 4.Oxidative medicine and cellular longevity · 2022
    Review
  13. The Nrf2 Pathway in Ischemic Stroke: A Review.Molecules (Basel, Switzerland) · 2021
    Review
  14. 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

11 authors at 1 institution in 1 country.

Min Liu *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Hao Li *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Lixia Zhang *Department of Burn and Plastic Surgery, The Fourth Medical Center of Chinese PLA General Hospital, Beijing, 100048, China.
Zhipeng XuDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yuxiang SongDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Xiaoyan WangDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Ruitong ChuDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yunming XiaoMedical School of Chinese PLA, Department of Nephrology, The First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, 100853, China.
Miao SunDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yulong Ma *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. yulongma123@163.com.ORCID http://orcid.org/0000-0003-0982-9571
Weidong Mi *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. wwdd1962@aliyun.com.
Chinese PLA General Hospital · CN

Funding

National Science Foundation of China 82003321the Clinical Research Support Fund of Chinese PLA General Hospital 2019XXJSYX08the Medical Big Data Research of Chinese PLA General Hospital 2019XXMBD003the National Natural Science Foundation of China 81471119the National Natural Science Foundation of China 81671039the National Natural Science Foundation of China 81801138
6 · The paper itself

Abstract

Oxidative stress is believed to be one of the primary causes in ischemic stroke injury, and the nuclear factor erythroid 2-related factor 2 (Nrf2) signaling pathway is the most important endogenous antioxidative stress damage pathway. Cottonseed oil (CSO), which is used mostly as a solvent for lipid-soluble drugs, has been shown to exert antioxidative effects against peripheral tissue injury. However, the effects and mechanisms of CSO on ischemic stroke-induced oxidative stress injury and the Nrf2 signaling pathway remain largely unknown. In this study, we investigated the potential of CSO in regulating oxidative stress injury induced by middle cerebral artery occlusion and reperfusion (MCAO-R), or oxygen and glucose deprivation and reperfusion (OGD-R). We found that 1.3 mL/kg CSO treatment of male rats with a subcutaneous injection once every other day for 3 weeks significantly improved neurological deficit; reduced infarction volume; alleviated neuronal injuries; reduced the content of ROS and MDA; increased the activity of SOD, GSH, and GSH-PX; and markedly increased the expression of Nrf2. Furthermore, treatment with 10

Indexed as

Oxidative StressSignal TransductionAnimalsCell NucleusCottonseed OilGlucoseIschemic StrokeMaleMiceNeuronsNF-E2-Related Factor 2OxygenProtein TransportRatsRats, Sprague-DawleyReperfusion InjuryCottonseed OilGlucoseNF-E2-Related Factor 2OxygenCottonseed oil (CSO)Ischemic strokeNeuroprotectionNrf2Oxidative stress injury

Identifiers

PMID33443681
OpenAlexW3118510185

What OpenQuestion holds

Textmetadata
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.