Evidence map›Paper›PMID 31792391›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2020

Arctigenin alleviates myocardial infarction injury through inhibition of the NFAT5-related inflammatory phenotype of cardiac macrophages/monocytes in mice.

Shi-Hao Ni, Shu-Ning Sun, Zheng Zhou, Yue Li, Yu-Sheng Huang, Huan Li, Jia-Jia Wang, Wei Xiao, Shao-Xiang Xian, Zhong-Qi Yang and 2 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Shi-Hao NiThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Shu-Ning SunThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Zheng ZhouThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Yue LiThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Yu-Sheng HuangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Huan LiThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Jia-Jia WangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Wei XiaoSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China.
Shao-Xiang XianThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Zhong-Qi YangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China.
Ling-Jun WangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China. smu868@gzucm.edu.cn.
Lu LuThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China. coinland@gzucm.edu.cn.ORCID http://orcid.org/0000-0002-9457-0164
Guangzhou University of Chinese Medicine · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we screened potential natural compounds for the treatment of myocardial infarction (MI) and explored the underlying mechanisms. We built three machine learning models to screen the potential compounds. qPCR, flow cytometry, immunohistochemistry, and immunofluorescence analyses were applied to analyze the pharmacological effects of the compounds on macrophages/monocytes in vivo and in vitro. Arctigenin (AG) was selected as a candidate, and echocardiography, Masson's trichrome staining, and TUNEL staining were utilized to detect the effect of AG on MI in vivo. Transcriptome analysis and subsequent bioinformatics analyses were performed to predict the target of the selected compound. Western blot and luciferase reporter assays were used to confirm the target and mechanism of AG. The reversibility of the effects of AG were verified through overexpression of NFAT5. The results showed that AG can improve cardiac injury after MI by reducing infarct size, improving heart function, and inhibiting cardiac death. In addition, AG suppresses inflammatory macrophages/monocytes and proinflammatory cytokines in vivo and in vitro. Transcriptomic and biological experiments revealed that AG modulates macrophage polarization via the NFAT5-induced signaling pathway. Therefore, our data suggest that AG can improve MI by inhibiting the inflammatory phenotype of macrophages/monocytes through targeting of NFAT5.

Indexed as

Transcription FactorsAnimalsFuransHeartInflammationLignansMacrophagesMaleMiceMice, Inbred C57BLMonocytesMyocardial InfarctionMyocardiumRAW 264.7 CellsSignal TransductionarctigeninFuransLignansNfat5 protein, mouseTranscription Factors

Identifiers

PMID31792391
OpenAlexW2991220096

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.