Evidence map›Paper›PMID 41427140›Full record

ArticleFrontiers in veterinary science2025

Effects of green tea dust on the biochemical parameters, antioxidant capacity, and intestinal microbiota composition in goose.

Zhuoya Gu, Wenwu Xu, Yong Tian, Lizhi Lu, Guohong Chen

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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

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

5 authors.

Zhuoya GuJiangsu Key Laboratory for Animal Genetic, Breeding and Molecular Design, Yangzhou University, Yangzhou, China.
Wenwu XuInstitute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Yong TianInstitute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Lizhi LuInstitute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Guohong ChenJiangsu Key Laboratory for Animal Genetic, Breeding and Molecular Design, Yangzhou University, Yangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Green tea dust (GTD), a by-product of tea processing, exhibits promising potential as a functional feed additive owing to its rich protein profile and bioactive compounds. Methods: This study evaluated the impact of GTD inclusion on biochemical parameters, oxidative stress markers, intestinal morphology, and cecal microbiota in Zhedong White geese. A cohort of 120 21-day-old male geese was randomly allocated to four dietary regimens: a basal diet (CTRL) and basal diets supplemented with 10% (LGTD), 15% (MGTD), or 20% ET (HGTD). The experimental period lasted seven weeks. Results: Results indicated that GTD supplementation exerted no significant influence on plasma lipid metabolism. However, graded GTD doses markedly elevated systemic antioxidant activity, as evidenced by improved plasma antioxidant indices. Morphometric analysis revealed enhanced intestinal absorptive function, characterized by increased villus height (VH), reduced crypt depth (CD), and elevated VH/CD ratios in the duodenum. Furthermore, GTD supplementation modulated cecal microbial communities, promoting a favorable microbiota profile. Conclusion: These findings underscore the utility of GTD as a dietary intervention to augment intestinal health and oxidative status in geese, providing empirical support for its broader adoption in poultry nutrition.

Indexed as

antioxidant capacitygoosegut microbiotaintestinal absorption capacitytea dust

Identifiers

PMID41427140
PMCPMC12713316

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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.