Evidence map›Paper›PMID 41948285›Full record

ArticleFrontiers in nutrition2026

Divergent pathways of mango fractions in promoting metabolic health: from gut microbiota remodeling to direct systemic regulation.

Shiyuan Cai, Ruijing Zhang, Ke Li, Xin Li, Xianhao Zhou, Yanjun Liu, Kun Wang, Hongli Liao, Chunli Su

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. 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

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.

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

9 authors.

Shiyuan Cai *Department of Pharmacy, The People's Hospital of Miyi County, Panzhihua, China.
Ruijing Zhang *School of Pharmacy, Chengdu Medical College, Chengdu, China.
Ke Li *Department of Pharmacy, The People's Hospital of Miyi County, Panzhihua, China.
Xin LiSchool of Pharmacy, Chengdu Medical College, Chengdu, China.
Xianhao ZhouSchool of Pharmacy, Chengdu Medical College, Chengdu, China.
Yanjun LiuDepartment of Pharmacy, The People's Hospital of Miyi County, Panzhihua, China.
Kun WangDepartment of Pharmacy, The People's Hospital of Miyi County, Panzhihua, China.
Hongli LiaoKey Laboratory of Structure-Specific Small Molecule Drugs at Chengdu Medical College of Sichuan Province, School of Pharmacy, Chengdu Medical College, Chengdu, China.
Chunli SuSchool of Public Health, Chengdu Medical College, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To dissect the distinct metabolic regulatory mechanisms of mango pulp (MPP), peel (MPL), and kernel (MKE), this study integrated 16S rRNA sequencing and fecal metabolomics in a mouse model. We uncovered a clear bifurcation in their actions. MPP and MPL acted primarily by remodeling the gut microbiota. Specifically, MPP treatment enriched Bilophila, while MPL treatment enriched Staphylococcus. Both components altered fecal peptide and lipid metabolism. In contrast, MKE displayed a direct systemic action largely independent of colonic microbial fermentation independent of the microbiota. Despite minimal impact on the fecal metabolome, its bioactive saponins were linked to the modulation of host steroid hormone biosynthesis, suggesting direct absorption. These findings establish a dual-mechanism model for mango's bioactivity, providing a scientific framework for developing its components-specifically the MPP and MPL as microbiota-modulating agents and the MKE as a direct systemic regulator.

Indexed as

by-product valorizationfunctional foodgut microbiotamango kernelmango peelmango pulpmetabolomics

Identifiers

PMID41948285
PMCPMC13050896

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.