Evidence map›Paper›PMID 32064136›Full record

ArticleFood science and biotechnology2020

Red pepper seed water extract suppresses high-fat diet-induced obesity in C57BL/6 mice.

Hwa-Jin Kim, Mi-Kyoung You, Ziyun Wang, Young-Hyeon Lee, Hyeon-A Kim

Open access · greenAbstract read
In one paragraph

Article in Food science and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Effect of Soybean and SoybeanInternational journal of environmental research and public health · 2021
    Article
  6. Red Pepper (Nutrients · 2020
    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 2 institutions in 2 countries.

Hwa-Jin KimHisol Inc., Namwon-si, Jeollabuk-do, Republic of Korea.
Mi-Kyoung You2Department of Nutrition and Health Sciences, University of Nebraska-Lincoln, Lincoln, NE USA.
Ziyun Wang3Department of Food and Nutrition, Mokpo National University, Muan-gun, Jeollanam-do Republic of Korea.
Young-Hyeon Lee3Department of Food and Nutrition, Mokpo National University, Muan-gun, Jeollanam-do Republic of Korea.
Hyeon-A Kim3Department of Food and Nutrition, Mokpo National University, Muan-gun, Jeollanam-do Republic of Korea.ORCID 0000-0002-9280-4828
Mokpo National University · KRUniversity of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the protective effect of red pepper seed water extract (RPS) against the obesity in high fat diet (HFD)-fed mice was investigated (HFD control group, and HFD group treated with 100 or 200 mg/kg body weight of RPS for 13 weeks). The application of RPS partially reversed the HFD-induced increases in body weight and adipose tissue weight. The patterns of the adipose tissue weights were parallel to the patterns of fat area, as measured in DXA procedure. In the adipose tissue, RPS suppressed the expression of adipogenic transcription factors and adipose marker genes. AMP-activated protein kinase activation was observed in the adipose tissue by RPS treatment. In addition, RPS improved high homeostasis model assessment of insulin resistance and hyperlipidemia in HFD fed mice. These findings suggest that RPS can be used as a potential therapeutic substance for reducing body fat and obesity related diseases.

Indexed as

Anti-obesityHigh-fat dietHOMA-IRLipid metabolismRed pepper seed

Identifiers

PMID32064136
PMCPMC6992834
OpenAlexW2993827023

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.