Evidence map›Paper›PMID 33479187›Full record

ArticleJournal of obesity & metabolic syndrome2021

Anti-Obesity Effects of

Eun-Yong Choi, Chan Young Park, Seong Hyun Ho, Su-Jin Park, Donghyun Kim, Byoungduck Han, Seon-Hee Kim

Open access · diamondAbstract read
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Effects of FermentedNutrients · 2023
    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

7 authors at 3 institutions in 3 countries.

Eun-Yong ChoiSungkyun Biotech Co., Ltd., Suwon, Korea.
Chan Young ParkSungkyun Biotech Co., Ltd., Suwon, Korea.
Seong Hyun HoG&P Bioscience Co. LTD., Goyang, Korea.
Su-Jin ParkG&P Bioscience Co. LTD., Goyang, Korea.
Donghyun KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Byoungduck HanDepartment of Family Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2830-1174
Seon-Hee KimSungkyun Biotech Co., Ltd., Suwon, Korea.ORCID https://orcid.org/0000-0003-4079-2594
Bioscience Research · USKorea University Medical Center · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a widespread disease and is caused mainly by excessive adipocyte differentiation and fat accumulation. Peroxisome proliferation-activated receptor γ (PPARγ) and CCAAT/enhancer-binding proteins (C/EBP) are major components for regulating adipocyte differentiation. Uncoupling protein 1 (UCP1) is a transmembrane protein that can convert white fat to brown adipose tissue.

methodsWe investigated the effects of water extracts of

resultsIn this study, WEAA reduced the expression levels of PPARγ and C/EBPα in C3H10T1/2 cells, as well as the expression of enzymes that regulate fatty acid metabolism. In the Zucker fatty rat model and the HFD-induced obesity rat model, WEAA significantly decreased adipogenic differentiation and white fat accumulation between the scapulae, in contrast to the brown fat that remained unchanged between the groups.

conclusionThese results indicated that WEAA could reduce adipocyte differentiation and fat accumulation in

Indexed as

AdipogenesisArtemisia annuaNon-alcoholic fatty liver diseasesObesityUncoupling protein 1

Identifiers

PMID33479187
PMCPMC8017327
OpenAlexW3121744254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.