Evidence map›Paper›PMID 38934690›Full record

ArticleJournal of food and drug analysis2024

Citrus depressa peel extract acts as a prebiotic to reduce lipid accumulation and modulate gut microbiota in obese mice.

Zheng-Yuan Su, Jie-An Liao, Ching-Ting Lin, Guor-Jien Wei, Yen-Chen Tung

Abstract read
In one paragraph

Article in Journal of food and drug analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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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.

Zheng-Yuan SuDepartment of Bioscience Technology, Chung Yuan Christian University, Taoyuan City, 320314, Taiwan.
Jie-An LiaoDepartment of Bioscience Technology, Chung Yuan Christian University, Taoyuan City, 320314, Taiwan.
Ching-Ting LinDepartment of Bioscience Technology, Chung Yuan Christian University, Taoyuan City, 320314, Taiwan.
Guor-Jien WeiInstitute of Food Safety and Health Risk Assessment, National Yang Ming Chiao Tung University, Taipei, 112304, Taiwan.
Yen-Chen TungDepartment of Food Science, National Ilan University, Yilan County, 260007, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Citrus peels contain abundant polyphenols, particularly flavonoids, and have been shown to exert lipid accumulation decreasing ability. In this study, Citrus depressa peel applied to oven drying and extracted with ethanol extract as CDEE to analyze its flavonoids compositions and investigated its effects on a high-fat diet (HFD)-induced obese mice model. CDEE contained several flavonoids such as hesperidin, sinesentin, nobiletin, tangeretin, 5-demethylnobiletin, and 5-demethyltangeretin. The mice fed an HFD, and administration of 2% CDEE to could decrease weight gain, abdominal fat weight, inguinal fat weight, and the adipocyte size, and CDEE also reduced serum total cholesterol (TCHO), triacylglycerol (TG) compared with mice fed only on HFD. CDEE hindered lipid accumulation through a decreased fatty acid synthase (FAS) protein expression via upregulation of the protein expression of AMP-activated protein kinase α (AMPKα). Moreover, CDEE modulated gut microbiota that altered by HFD through an increased abundance of Lactobacillus reuteri compared with the HFD group. The results demonstrated that CDEE helps decrease lipid accumulation through the AMPK pathway, which also indicates a prebiotic-like effect on gut microbiota.

Indexed as

CitrusDiet, High-FatGastrointestinal MicrobiomeLipid MetabolismMice, Inbred C57BLMice, ObeseObesityPlant ExtractsPrebioticsAnimalsBacteriaHumansMaleMiceTriglyceridesPlant ExtractsPrebioticsTriglycerides

Identifiers

PMID38934690
PMCPMC11210465

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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.