Evidence map›Paper›PMID 37780219›Full record

ArticleNutrition research and practice2023

Youngji Han, Ji-Young Choi, Eun-Young Kwon

Open access · diamondAbstract read
In one paragraph

Article in Nutrition research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 3 institutions in 1 country.

Youngji HanBiological Clock-based Anti-aging Convergence Regional Leading Research Center of National Research Foundation of Korea, Korea University, Sejong 30019, Korea.ORCID https://orcid.org/0000-0003-2270-8176
Ji-Young ChoiDepartment of Food and Nutrition, Chosun University, Gwangju 61452, Korea.ORCID https://orcid.org/0000-0002-2022-3741
Eun-Young KwonDepartment of Food Science and Nutrition, Kyungpook National University, Daegu 41566, Korea.ORCID https://orcid.org/0000-0001-8357-9158
Chosun University · KRKyungpook National University · KRNational Research Foundation of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesObesity is a major risk factor for metabolic syndrome, a global public health problem. MATERIALS/

methodsThirty-five male C57BL/6J mice were randomly divided into 2 groups and fed either a normal diet (ND, n = 10) or a high-fat diet (HFD, n = 25) for 4 weeks to induce obesity. After the obesity induction period, the HFD-fed mice were randomly separated into 2 groups: one group continued to be fed HFD (n = 15, HFD group), while the other group was fed HFD with 1.5% (w/w) MA ethanol extract (n = 10, MA group) for 13 weeks.

resultsThe results showed that body and white adipose tissue (WAT) weights were significantly decreased in the MA-supplemented group compared to the HFD group. Additionally, MA supplementation enhanced energy expenditure, leading to improvements in plasma lipids, cytokines, hepatic steatosis, and fecal lipids. Furthermore, MA supplementation regulated lipid-metabolism-related enzyme activity and gene expression, thereby suppressing lipid accumulation in the WAT and liver.

conclusionsThese findings indicate that MA has the potential to improve diet-induced obesity and its associated complications, including adiposity, dyslipidemia, hepatic steatosis, and inflammation.

Indexed as

diet, high-fatherbal medicinemetabolic syndromenonalcoholic fatty liver diseaseObesity

Identifiers

PMID37780219
PMCPMC10522806
OpenAlexW4386903319

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.