Evidence map›Paper›PMID 41888130›Full record

ArticleNPJ science of food2026

Integration of transcriptomics and gut microbiomics reveals walnut septum polyphenols alleviate HFD-induced lipid disorders.

Yue-Xiu Pan, Lei Peng, Xia Hu, Jin-Lian Chen, Min Su, Jing-Jing Dai, Jun Sheng, Zi-Shan Hong, Jing Xie, Yang Tian

Abstract read
In one paragraph

Article in NPJ science of food, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yue-Xiu Pan *College of Pharmacy, Shan Dong Xian Dai University, Jinan, China.
Lei Peng *College of Food Science and Technology, Yunnan Agricultural University, Kunming, China.
Xia HuCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, China.
Jin-Lian ChenCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, China.
Min SuCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, China.
Jing-Jing DaiSchool of Tea and Coffee, Puer University, Puer, China.
Jun ShengCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, China.
Zi-Shan HongSchool of Life and Health Technology, Dongguan University of Technology, Dongguan, China. 15287190113@163.com.
Jing XieCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, China. jingxie0624@163.com.
Yang TianCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, China. tianyang1208@163.com.

Funding

Project of Yunnan Province Xing Dian Talent Support Program-Young Talent Special XDYC-QNRC-2023-0405Yunnan International Joint Laboratory of Green Health Food (China and Thailand) 202203AP140011Yunnan Province-City Integration Project 202302 AN360002Yunnan Province Food and Drug Homologous Resources Functional Food Innovation Team A3032023057
6 · The paper itself

Abstract

Walnut septum, an underutilized agricultural by-product, exhibits anti-obesity potential. However, the in vivo hypolipidemic mechanisms of walnut septum polyphenols (WSP) remain unexplored. We investigated the effects of WSP on lipid metabolism in high-fat diet (HFD)-fed mice using integrated transcriptomic and gut microbiomic analyses. The results indicated that WSP inhibited lipid accumulation in HFD mice and ameliorated HFD-induced oxidative stress, inflammation, and gut barrier impairment. Further studies revealed that WSP positively regulated FoxO1 expression by suppressing the PI3K/AKT signaling pathway, which in turn inhibited hepatic lipid synthesis in HFD mice. Furthermore, WSP concurrently remodeled gut microbiota via selective enrichment of beneficial Akkermansia and depletion of inflammation-associated norank_f__Desulfovibrionaceae. This microbial shift correlated with enhanced intestinal barrier integrity, reduced endotoxemia, and a predicted upregulation of propanoate metabolism. This study provides the first evidence of the synergistic regulation of the PI3K/AKT/FoxO1 pathway and gut microbiota restructuring by WSP, establishing a scientific foundation for valorizing walnut-processing waste into nutraceuticals against obesity.

Identifiers

PMID41888130
PMCPMC13230880

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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.