Evidence map›Paper›PMID 40563274›Full record

ArticleAntioxidants (Basel, Switzerland)2025

Oral Administration of Propolis and Lysozyme Combination Improves Feline Oral Health and Modulates Systemic Inflammatory and Oxidative Responses.

Longjiao Wang, Qianqian Chen, Weiwei Wang, Hao Dong, Xiaohan Chang, Lishui Chen, Ran Wang, Yaoxing Chen, Pengjie Wang, Shuxing Chen and 2 more

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 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

12 authors.

Longjiao WangKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China.ORCID 0009-0006-2260-8836
Qianqian ChenFood Laboratory of Zhongyuan, Luohe 462300, China.
Weiwei WangFood Laboratory of Zhongyuan, Luohe 462300, China.ORCID 0000-0002-3782-0825
Hao DongFood Laboratory of Zhongyuan, Luohe 462300, China.
Xiaohan ChangFood Laboratory of Zhongyuan, Luohe 462300, China.
Lishui ChenFood Laboratory of Zhongyuan, Luohe 462300, China.ORCID 0000-0003-3631-7272
Ran WangKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China.
Yaoxing ChenCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-2576-5977
Pengjie WangKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China.ORCID 0000-0001-9975-6737
Shuxing ChenFood Laboratory of Zhongyuan, Luohe 462300, China.
Wei XiongFood Laboratory of Zhongyuan, Luohe 462300, China.
Yixuan LiKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China.

Funding

National Natural Science Foundation of China 32001676
6 · The paper itself

Abstract

Oral diseases are highly prevalent among domestic cats, with microbiota dysbiosis as a primary etiological factor. However, effective microbiota-targeted interventions remain limited. This study evaluated the efficacy of a dietary supplement combining propolis and lysozyme (PL) in mitigating feline oral health issues, based on a cohort of 24 cats divided equally into placebo, treatment, and healthy control groups (

Indexed as

felineinflammatorylysozymeoral healthoral microbiotaoxidative responsespropolis

Identifiers

PMID40563274
PMCPMC12189585

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.