Evidence map›Paper›PMID 34776829›Full record

ArticleFood & nutrition research2021

Jaeyong Kim, Gyuok Lee, Huwon Kang, Ji-Seok Yoo, Yongnam Lee, Hak-Sung Lee, Chul-Yung Choi

Open access · goldAbstract read
In one paragraph

Article in Food & nutrition research, 2021. 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
0.4field-weighted citation impact, top 40% 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, 5 citations in OpenAlex.

  1. The GenusCombinatorial chemistry & high throughput screening · 2026
    Review
  2. 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

7 authors at 2 institutions in 1 country.

Jaeyong KimJeonnam Bioindustry Foundation, Jeonnam Institute of Natural Resources Research (JINR), Jeollanamdo, Republic of Korea.
Gyuok LeeJeonnam Bioindustry Foundation, Jeonnam Institute of Natural Resources Research (JINR), Jeollanamdo, Republic of Korea.
Huwon KangJeonnam Bioindustry Foundation, Jeonnam Institute of Natural Resources Research (JINR), Jeollanamdo, Republic of Korea.
Ji-Seok YooRexpharmtech. Co., Ltd., Yongin, Seoul, Republic of Korea.
Yongnam LeeRexpharmtech. Co., Ltd., Yongin, Seoul, Republic of Korea.
Hak-Sung LeeJeonnam Bioindustry Foundation, Jeonnam Institute of Natural Resources Research (JINR), Jeollanamdo, Republic of Korea.
Chul-Yung ChoiDepartment of Biomedical Science College of Natural Science, Chosun University, Gwangju, Republic of Korea.
Jeonnam Bioindustry Foundation · KRChosun University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation is emerging as a key contributor to many vascular diseases and furthermore plays a major role in autoimmune diseases, arthritis, allergic reactions, and cancer. Lipopolysaccharide (LPS), which is a component constituting the outer membrane of Gram-negative bacteria, is commonly used for an inflammatory stimuli to mimic inflammatory diseases. Nuclear factor-kappa B (NF-κB) is a transcription factor and regulates gene expression particularly related to the inflammatory process.

objectiveThe purpose of this study was to investigate the anti-inflammatory activity of YRA-1909, the leaf aqueous extract of

resultsYRA-1909 inhibited the LPS-induced nitric oxide (NO) and proinflammatory cytokine production in rat peritoneal macrophages without causing cytotoxicity and reduced inducible NO synthase and prostaglandin E

conclusions

Indexed as

Aktanti-inflammatorychlorogenic acidcryptochlorogenic acidneochlorogenic acidNF-κBStauntonia hexaphyllaYRA-1909

Identifiers

PMID34776829
PMCPMC8559446
OpenAlexW3209700185

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.