Evidence map›Paper›PMID 40909924›Full record

ArticleFrontiers in microbiology2025

Effect of

Mengjiao Li, Zhongyuan Liu, Chen Chen, Ziqi Liu, Liming Liu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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.

Mengjiao LiDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, China.
Zhongyuan LiuCollege of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin, China.
Chen ChenCollege of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin, China.
Ziqi LiuCollege of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin, China.
Liming LiuCollege of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The purpose of this study was to investigate the effects of dietary supplementation of Methods: One hundred one-day-old Luhua broiler were randomly divided into the control group (CON) and LPJZ-658 treatment group (LPJZ-658). The CON group was fed a basal diet, and the LPJZ-658 group was fed the basal diet supplemented with 2 × 10 Results: In the LPJZ-658 group, the serum IgA level, and activity of SOD were significantly higher, concentration of MDA was markedly lower than in the CON group. Caecum microbiota showed that LPJZ-658 could dramatically change the composition of cecum flora. It's mainly by increasing the level of Lactobacillus, Lachnoclostridium, and Parasutterella, and reducing the level of Clostridia_UCG-014, Faecalibacterium, Blautia, Eubacterium_coprostanoligenes_group, Anaerofilum and Shuttle. In addition, serum non-targeted metabolomics results showed that there were 49 serum differential metabolites between the two groups, and the main metabolic pathways affected by LPJZ-658 included phenylalanine, tyrosine and tryptophan biosynthesis, arachidonic acid metabolism, and tyrosine metabolism. Discussion: In summary, LPJZ-658 can improve the serum immune performance and antioxidant capacity of Luhua broiler by regulating the composition of caecum microbiota and serum metabolome, thus improving the health status of Luhua broiler and culture efficiency.

Indexed as

16S rRNAcecal microbiotaLactiplantibacillus plantarum LPJZ-658Luhua broilerserum metabolomics

Identifiers

PMID40909924
PMCPMC12405372

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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.