Evidence map›Paper›PMID 42426928›Full record

ArticleMicrobiome2026

Duodenal resident Limosilactobacillus improves feed efficiency through ornithine-mediated optimization of gut microbiota and nutrient absorption via the Nrf2 signaling.

Zhang-Chao Deng, Yu-Xuan Huang, Ke-Xin Cao, Zhe Peng, Alainaa Refaie, Mahmoud Mohamed Khalil, Ling Zhao, Le Luo Guan, Lv-Hui Sun

Abstract read
In one paragraph

Article in Microbiome, 2026. 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
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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

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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

9 authors.

Zhang-Chao DengNational Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Yu-Xuan HuangNational Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Ke-Xin CaoNational Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Zhe PengNational Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Alainaa RefaieNational Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Mahmoud Mohamed KhalilAnimal Production Department, Faculty of Agriculture, Benha University, Benha, 13736, Egypt.
Ling ZhaoDepartment of Animal Science, Cornell University, Ithaca, NY, 14850, USA.
Le Luo GuanFaculty of Land and Food Systems, The University of British Columbia, Vancouver, V6T 1Z4, Canada.
Lv-Hui SunNational Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. lvhuisun@mail.hzau.edu.cn.

Funding

Academy of Scientific Research and Technology RESPECT-25505Fundamental Research Funds for the Central Universities 2662025DKPY006National Key Research and Development Program of China 2022YFD1300402National Natural Science Foundation of China W2412097
6 · The paper itself

Abstract

backgroundThe small intestinal microbiota directly influences host intestinal digestive and absorptive responses to dietary nutrients and plays a crucial role in optimizing feed efficiency in food-producing animals. However, the microbial functions of small intestine in regulating feed efficiency in broiler chickens remain to be elucidated.

methodsA total of 150 healthy broilers were individually housed under identical feeding conditions to accurately calculate their feed efficiency. The gut microbiota in different intestinal segments of high and low feed efficiency chickens were compared using 16S rRNA sequencing. Gut bacterial candidates associated with feed efficiency were identified through a two-part model, LEfSe, and the Wilcoxon rank-sum test. Another 1725 1-day-old male broiler chicks were fed either a basal diet (BD) or BD supplemented with four different bacterial candidates isolated from the chicken gut to investigate their roles in regulating gut microbiota and nutrient absorption. The underlying molecular mechanisms by which key Limosilactobacillus strains and their metabolite ornithine improve intestinal health were also examined using an intestinal epithelial cell line.

resultsThis study found that chickens with high feed efficiency exhibited greater microbial community stability and stronger cooperative interactions compared to low feed efficiency chickens, particularly within the duodenal microbiota. Meanwhile, duodenal resident Limosilactobacillus were significantly positively correlated with feed efficiency. Further validation trials revealed that specific Limosilactobacillus strains (L. vaginalis LD11 and L. ingluviei CC32) significantly improved feed efficiency, concurrently enhancing antioxidant capacity, barrier function, nutrient absorption, as well as increasing Limosilactobacillus abundance in the duodenum. These two bacterial strains could produce high concentrations of ornithine in the duodenum, which effectively alleviated LPS-induced intestinal cell damage by enhancing antioxidant capacity and upregulating the protein expression of nutrient transporters. Mechanistically, both bacterial strains and ornithine enhanced antioxidant capacity and nutrient uptake by activating Nrf2 signaling.

conclusionsDietary intervention using L. vaginalis LD11 and L. ingluviei CC32 contributes to high feed efficiency by producing ornithine, which modulates the duodenal microbiota and enhances the intestinal physiological functions for nutrient absorption Video Abstract.

Indexed as

ChickensDuodenumGastrointestinal MicrobiomeNF-E2-Related Factor 2OrnithineAnimal FeedAnimalsBacteriaIntestinal AbsorptionMaleNutrientsRNA, Ribosomal, 16SSignal TransductionNF-E2-Related Factor 2OrnithineRNA, Ribosomal, 16SDuodenumFeed efficiencyIntestinal healthNutrient uptakeOrnithine

Identifiers

PMID42426928
PMCPMC13560232

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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.