Evidence map›Paper›PMID 29576702›Full record

ArticlePharmacognosy magazine

The Standardized Extract of

Na-Hyun Kim, Jeong-Doo Heo, Jung-Rae Rho, Min Hye Yang, Eun Ju Jeong

Open access · greenAbstract read
In one paragraph

Article in Pharmacognosy magazine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Nutrients · 2022
    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 3 institutions in 1 country.

Na-Hyun KimGyeongnam Department of Environment and Toxicology, Korea Institute of Toxicology, Gyeongnam 52834, Republic of Korea.
Jeong-Doo HeoGyeongnam Department of Environment and Toxicology, Korea Institute of Toxicology, Gyeongnam 52834, Republic of Korea.
Jung-Rae RhoDepartment of Oceanography, Kunsan National University, Jeonbuk 54150, Republic of Korea.
Min Hye YangCollege of Pharmacy, Pusan National University, Busan 46241, Republic of Korea.
Eun Ju JeongDepartment of Agronomy and Medicinal Plant Resources, Gyeongnam National University of Science and Technology, Jinju 52725, Republic of Korea.
Korea Institute of Toxicology · KRKunsan National University · KRGyeongnam National University of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn traditional folk medicine,

objectiveThis study aimed to identify the therapeutic effect of MATERIALS AND

methodsC57BL/6J mice were administered 100 mg/kg of EALT with a single binge ethanol/Lieber-DeCarli liquid diet for 8 weeks.

resultsThe chronic-binge ethanol diet induced a significant increase in liver marker enzyme activities. Coadministration of EALT reversed the elevation of serum total cholesterol and triglyceride as well as aspartate aminotransferase and alanine aminotransferase due to chronic alcohol consumption. Histologic findings including markedly attenuated fat accumulation in hepatocytes were observed in EALT-treated mice. EALT supplementation prevented alcoholic liver injury through attenuation of inflammatory mediators such as toll-like receptor-4, cytochrome P4502E1, and cyclooxygenase-2, and inflammatory cytokine interleukin-6.

conclusionResults provided direct experimental evidence for the hepatoprotective effect of EALT in the NIAAA mouse model. Therapeutic attempts with the SUMMARY: Halophyte

Indexed as

Alcoholic liver diseasechronic-binge ethanol-fed miceinflammatory mediators and cytokinesLimonium tetragonumliver marker enzymes

Identifiers

PMID29576702
PMCPMC5858243
OpenAlexW2789692814

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.