Evidence map›Paper›PMID 40859348›Full record

ArticleAnimal microbiome2025

Dietary protein sources in concentrate supplementation influence growth performance by manipulating gut microbiota and serum metabolites in suckling Donkey foals.

Yipeng Li, Huifang Zhou, Jie Yu, Boying Dong, Han Li, Chongyu Zhang, Guiguo Zhang, Cuihua Guo

Abstract read
In one paragraph

Article in Animal microbiome, 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. Article
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

8 authors.

Yipeng Li *Key Laboratory of Efficient Utilization of Non-grain Feed Resources (Co- construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Animal Nutrition and Efficient Feeding, Department of Animal Science, Shandong Agricultural University, Taian, Shandong, 271017, China.
Huifang Zhou *Key Laboratory of Efficient Utilization of Non-grain Feed Resources (Co- construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Animal Nutrition and Efficient Feeding, Department of Animal Science, Shandong Agricultural University, Taian, Shandong, 271017, China.
Jie YuNational Engineering Research Center for Gelatin-based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd, Liaocheng, Shandong, 252201, China.
Boying DongNational Engineering Research Center for Gelatin-based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd, Liaocheng, Shandong, 252201, China.
Han LiKey Laboratory of Efficient Utilization of Non-grain Feed Resources (Co- construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Animal Nutrition and Efficient Feeding, Department of Animal Science, Shandong Agricultural University, Taian, Shandong, 271017, China.
Chongyu ZhangKey Laboratory of Efficient Utilization of Non-grain Feed Resources (Co- construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Animal Nutrition and Efficient Feeding, Department of Animal Science, Shandong Agricultural University, Taian, Shandong, 271017, China.
Guiguo ZhangKey Laboratory of Efficient Utilization of Non-grain Feed Resources (Co- construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Animal Nutrition and Efficient Feeding, Department of Animal Science, Shandong Agricultural University, Taian, Shandong, 271017, China.
Cuihua GuoKey Laboratory of Efficient Utilization of Non-grain Feed Resources (Co- construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Animal Nutrition and Efficient Feeding, Department of Animal Science, Shandong Agricultural University, Taian, Shandong, 271017, China. gch@sdau.edu.cn.

Funding

Key R&D Program of Shandong Province 2022TZXD0018National Key R&D Program of China-Korea Cooperative Project 2019YFE0107700Research and Development Project on Full-Priced Mixed Pellet Feed for Donkeys DEEJ-YB-2024-01-033Shandong Province Modern Agricultural Technology System Donkey Industry Innovation Team SDAIT-30-02
6 · The paper itself

Abstract

backgroundProtein is a primary nutrient in concentrate supplementation for donkey foals, and the source of this protein significantly influences their growth and development. Milk-derived protein sources, such as milk powder, casein, and whey protein, are widely used in milk replacers for donkey foals due to their balanced nutritional profiles, high digestibility, and high bioavailability. However, the increasing costs of milk powder and whey protein have prompted researchers to explore alternative protein sources, with soy protein being a particularly promising option. This study compared the effects of soybean meal and milk-derived ingredients as protein sources in concentrate supplementation on the growth performance, rectal microbiota, and serum metabolites of suckling donkey foals. A total of 42 Dezhou donkey foals, aged 10 days, were randomly assigned to three groups: SP (soybean meal as the main protein source in the diet), MP (milk-derived ingredients as the main protein source in the diet), and SMP (a combination of the SP and MP diets at a ratio of 6:4 used as the dietary component). Each group consisted of 14 replicates, with one donkey in each replicate. The foals were raised from 10 days of age to 130 days of age, and the entire experimental period lasted 120 days.

resultsThe final body weight (at 130 days of age) and average daily gain (ADG) were significantly higher (P < 0.001) in the SP group compared to the MP and SMP groups. The feed conversion ratio (FCR) in the SP and SMP groups was significantly lower than that in the MP group (P < 0.05). Among the three groups, the serum levels of thyroxine, growth hormone (GH), insulin-like growth factor-І (IGF-І), and vitamin B6 were significantly enhanced (P < 0.05) in the SP group, whereas the cortisol levels were significantly decreased (P < 0.05). Rectal microbiota analysis further demonstrated that the SP intervention reshaped the gut microbial composition and enriched several genera, including Oscillospiraceae_UCG-005, Oscillospiraceae_NK4A214_group, Akkermansia, Porphyromonas, Streptococcus, Bacteroides, Fusobacterium, and Christensenellaceae_R-7_group. Metabolomic profiling identified 15 differential metabolites, which were considered the key differential metabolites in this study and were related to phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine biosynthesis, vitamin B6 metabolism, biotin metabolism, tryptophan metabolism, and some amino acid metabolic processes. Notably, the rectal microbial genera Akkermansia, Porphyromonas, Oscillospiraceae_NK4A214_group, Oscillospiraceae_UCG-005, and Streptococcus, which were most abundant in the SP group, showed significant positive correlations with ADG, serum concentrations of thyroxine, IGF-I, and vitamin B6, as well as with the levels of serum metabolites serotonin and pyridoxine.

conclusionsCompared to the milk-derived protein in concentrate supplementation for donkey foals, soybean meal protein improved the abundance of beneficial gut microbiota, further affected serum hormones and metabolites, and probably resulted in improved body weight and feed efficiency. This study provides a new approach to modulating gut bacteria to enhance growth performance in donkey foals.

Indexed as

Donkey foalsGrowth performanceGut microbiotaMilk-derivedSerum metabolomeSoybean meal

Identifiers

PMID40859348
PMCPMC12382213

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.