Article in Food science of animal resources, 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.
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
14 authors.
Xiangzhen GaoKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0009-0004-2456-3403
Zhihua JuKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0003-1703-3215
Xiuge WangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0003-2982-441X
Xiaochao WeiKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0002-2109-8153
Yaping GaoKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0009-0006-3201-0870
Chunhong YangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0002-5726-810X
Yusheng ShiKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0009-0006-1155-8511
Ning HuangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0009-0009-0455-6624
Wenhao LiuKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0009-0000-9548-8579
Qiang JiangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0002-9880-9435
Jinpeng WangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0003-1892-0246
Yaran ZhangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0003-2601-0824
Yao XiaoKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0002-5153-6839
Jinming HuangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID https://orcid.org/0000-0001-9621-5652
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
The composition and metabolites of gut microbiota are shaped by dietary protein, consequently affecting host physiology, health, and diseases. This study aimed to elucidate the role of β-caseins in remodeling the composition of colon microbiota and the relationship between microbiota and serum metabolites. A total of 32 mice were randomly assigned to 4 groups and gavaged with A2, A1/A2, A1 milk, or saline for 5 wk. The supplementation of A1/A2 and A2 milk led to increased weight gain, while the A2 group exhibited an increase in goblet cell number and occludin expression in the colon. 16S ribosomal RNA gene analysis revealed differences in operational taxonomic units across groups, with Bacteroidetes and Firmicutes being predominant. Notably, A2 milk was associated with increased levels of
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.
Dietary Supplement with Milk that Contains Different β-Caseins Influences Gut Microbiota and Serum Metabolites in Mice. · full record | OpenQuestion