Evidence map›Paper›PMID 39985678›Full record

ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2025

The Anti-obesity Effects of Lotus (Nelumbo nucifera Gaertn.) Seed Red Skin (Testa) Catechins by Regulating Lipoprotein Lipase Expression and Activity.

Lingxiao Gong, Shiping Yang, Zishuo Zhang, Hong Xu

Abstract read
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In one paragraph

Article in Plant foods for human nutrition (Dordrecht, Netherlands), 2025. 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
–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

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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.

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

4 authors.

Lingxiao GongKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Beijing, 100048, China.
Shiping YangKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Beijing, 100048, China.
Zishuo ZhangKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Beijing, 100048, China.
Hong XuKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Beijing, 100048, China. xuhong@th.btbu.edu.cn.

Funding

Natural Science Foundation of Beijing Municipality 6202001
6 · The paper itself

Abstract

Lipoprotein lipase (LPL) participates in the development of obesity by regulating triglyceride hydrolysis and fat storage or oxidation. In this study, the anti-obesity effects of lotus seed skin catechins and its mechanisms associated with LPL modulation were demonstrated. In vivo, catechins reduced body weight in high-fat diet-induced obese mice, improved lipid metabolism and antioxidant indices, and modulated LPL activity in adipose and skeletal muscle tissues. The expression of peroxisome proliferator-activated receptor γ (PPARγ) and (angiopoietin-like 4 proteins) ANGPTL4 mRNA and protein was significantly upregulated in epididymal fat depot but downregulated in skeletal muscle tissue. In vitro cell experiments and chromatin immunoprecipitation (ChIP) assays further revealed that the binding sites of PPARγ protein in the ANGPTL4 promoter region were enriched in adipocytes or reduced in skeletal muscle cells in response to catechin treatment. Therefore, lotus seed skin catechins exhibit anti-obesity activity in vivo and in vitro by specifically regulating the activity and expression of LPL in target tissues.

Indexed as

Anti-Obesity AgentsCatechinLipoprotein LipaseNelumboObesity3T3-L1 CellsAdipocytesAdipose TissueAngiopoietin-Like Protein 4AnimalsDiet, High-FatLipid MetabolismMaleMiceMice, Inbred C57BLMuscle, SkeletalAngiopoietin-Like Protein 4Angptl4 protein, mouseAnti-Obesity AgentsCatechinLipoprotein LipasePPAR gammaAngiogenic protein-like protein 4CatechinLipoprotein lipaseLotus seed red skinPeroxisome proliferator-activated receptor γ

Identifiers

What OpenQuestion holds

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Registered trials

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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.