Evidence map›Paper›PMID 40996359›Full record

ArticleMicrobiology spectrum2025

Effects of two kinds of marine algae polysaccharides and their oligosaccharides on lipid metabolism and gut microbiota in high-fat diet mice.

Zi-Ang Yao, Ling Xu, Yu Liu, Hai-Ge Wu

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Zi-Ang Yao *College of Life Science, Dalian Minzu University, Dalian, Liaoning, China.
Ling Xu *College of Life and Health, Dalian University, Dalian, Liaoning, China.ORCID 0000-0002-6085-0563
Yu LiuCollege of Life Science, Dalian Minzu University, Dalian, Liaoning, China.ORCID 0009-0000-5354-5459
Hai-Ge WuCollege of Life and Health, Dalian University, Dalian, Liaoning, China.ORCID 0000-0003-0412-0192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal lipid metabolism is manifested in a variety of metabolic diseases. In recent years, studies have shown that the pathogenesis of these disorders is closely associated with the gut microbiota. Marine algae polysaccharides, such as sodium alginate and its oligosaccharides, can reduce blood lipids and improve lipid metabolism to reduce body weight. Polysaccharides are difficult to be absorbed by the human body due to their large molecular weight, which limits their application in the field of medicine and food. In this study, two kinds of marine algae polysaccharides and their oligosaccharides were used to investigate their effects on body weight, lipid metabolism, inflammatory factors, and intestinal health and microbiota in high-fat diet mice. The results showed that after feeding a high-fat diet, the mice's body weight and serum lipids were increased. The formation of fat droplets was observed in the liver cells. Small intestinal microvilli were destroyed and showed obvious accumulation of epithelial cells. After feeding mice with sodium alginate, agar, and its oligosaccharides, the level of body weight and the pathological damage of the liver and intestine were relieved. Gut microbiota analysis showed that two kinds of polysaccharides and their oligosaccharides could improve the composition of gut microbiota at the phylum and genus level, increase the abundance of

Indexed as

Gastrointestinal MicrobiomeLipid MetabolismOligosaccharidesPolysaccharidesAlginatesAnimalsBacteriaBody WeightDiet, High-FatLiverMaleMiceMice, Inbred C57BLAlginatesOligosaccharidesPolysaccharidesagargut microbiotalipid metabolismoligosaccharidessodium alginate

Identifiers

PMID40996359
PMCPMC12584744

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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.