Evidence map›Paper›PMID 39563419›Full record

ArticleAnimal microbiome2024

Single-strain probiotics enhance growth, anti-pathogen immunity, and resistance to Nocardia seriolae in grey mullet (Mugil cephalus) via gut microbiota modulation.

Ching-Hung Chan, Li-Han Chen, Kuang-Yu Chen, I-Hung Chen, Kung-Ta Lee, Liang-Chuan Lai, Mong-Hsun Tsai, Eric Y Chuang, Ming-Tse Lin, Tsong-Rong Yan

Abstract read
In one paragraph

Article in Animal microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Beyond Probiotics: Postbiotics for Healthy Aquaculture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

10 authors.

Ching-Hung ChanDepartment of Chemical Engineering and Biotechnology, College of Engineering, Tatung University, Taipei, Taiwan.
Li-Han ChenInstitute of Fisheries Science, College of Life Science, National Taiwan University, Taipei, Taiwan. lihanchen@ntu.edu.tw.
Kuang-Yu ChenInstitute of Fisheries Science, College of Life Science, National Taiwan University, Taipei, Taiwan.
I-Hung ChenInstitute of Fisheries Science, College of Life Science, National Taiwan University, Taipei, Taiwan.
Kung-Ta LeeDepartment of Biochemical Science & Technology, College of Life Science, National Taiwan University, Taipei, 10617, Taiwan.
Liang-Chuan LaiGraduate Institute of Physiology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Mong-Hsun TsaiBioinformatics and Biostatistics Core, Center of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan.
Eric Y ChuangBioinformatics and Biostatistics Core, Center of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan.
Ming-Tse LinDepartment of Chemical Engineering and Biotechnology, College of Engineering, Tatung University, Taipei, Taiwan.
Tsong-Rong YanDepartment of Chemical Engineering and Biotechnology, College of Engineering, Tatung University, Taipei, Taiwan.

Funding

National Science and Technology Council MOST 110-2313-B-002 -005 -MY2National Taiwan University NTU-JP-113L7210
6 · The paper itself

Abstract

Grey mullet (Mugil cephalus) aquaculture is economically vital due to the high value of its roe. However, it faces significant risks from disease outbreaks, particularly from Nocardia seriolae. Current reliance on antibiotics has drawbacks, highlighting the potential of probiotics as a promising alternative. Despite this, no studies have focused on the effects and mechanisms of probiotics in disease prevention and treatment in grey mullet. This study, therefore, investigates the efficacy of probiotics in enhancing disease resistance and promoting growth in grey mullet. Three strains of probiotics, Lacticaseibacillus rhamnosus FS3051, Limosilactobacillus reuteri FS3052, and Bacillus subtilis natto NTU-18, were selected to evaluate their anti-N. seriolae activity and hydrolytic enzyme secretion in vitro. Then, 144 grey mullet were randomly divided into four groups: control, L. rhamnosus FS3051, L. reuteri FS3052, and B. subtilis natto NTU-18. After being fed the corresponding diet for 28 days, fish were measured for immune gene expression and short-term growth followed by challenge of N. seriolae. Survival rates were recorded for 35 days post challenge. Additionally, the gut microbiota of the control and probiotic groups with effects on both growth and protection against N. seriolae were analyzed to investigate the potential role of gut microbiota. Results demonstrated that L. rhamnosus FS3051 and L. reuteri FS3052 inhibited N. seriolae, while B. subtilis natto NTU-18 did not inhibited N. seriolae. Probiotics also had the ability to secrete hydrolytic enzymes. Probiotic-fed grey mullet showed significant improvements in weight gain ratio, feed efficiency, and specific growth rate, particularly in the B. subtilis natto NTU-18 group. Immune gene expression was enhanced by probiotics, especially L. rhamnosus, FS3051, which induced IL-8, IL-1β, TNF-α, IFN-γ, and MHCI. Survival rates post-N. seriolae challenge improved significantly for L. rhamnosus FS3051-fed fish. L. rhamnosus FS3051 also altered the gut microbiota, enriching beneficial genera like Lactobacillus, which correlated positively with immune responses and growth, while reducing Mycoplasma and Rhodobacter, which were negatively correlated with immune responses. This study underscores the potential of probiotics in enhancing disease resistance and growth via regulating gut microbiota in grey mullet.

Indexed as

Disease resistanceGut microbiotaMugil cephalusNocardia seriolaeProbiotics

Identifiers

PMID39563419
PMCPMC11575433

What OpenQuestion holds

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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.