Evidence map›Paper›PMID 40384785›Full record

ArticleFrontiers in microbiology2025

A metaproteomic analysis of the piglet fecal microbiome across the weaning transition.

Israel Rivera, KaLynn Harlow, Robert N Cole, Robert O'Meally, Wesley Garrett, Weili Xiong, William Oliver, James E Wells, Katie Lynn Summers, Nisan Chhetri and 5 more

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

15 authors.

Israel RiveraAnimal Biosciences and Biotechnology Laboratory, Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, Beltsville, MD, United States.
KaLynn HarlowAnimal Biosciences and Biotechnology Laboratory, Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, Beltsville, MD, United States.
Robert N ColeDepartment of Biological Chemistry, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Robert O'MeallyDepartment of Biological Chemistry, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Wesley GarrettAnimal Biosciences and Biotechnology Laboratory, Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, Beltsville, MD, United States.
Weili XiongU.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD, United States.
William OliverU.S. Meat Animal Research Center, ARS, U.S. Department of Agriculture, Clay Center, NE, United States.
James E WellsU.S. Meat Animal Research Center, ARS, U.S. Department of Agriculture, Clay Center, NE, United States.
Katie Lynn SummersAnimal Biosciences and Biotechnology Laboratory, Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, Beltsville, MD, United States.
Nisan ChhetriDepartment of Computer Science, College of Engineering, North Carolina State University, Raleigh, NC, United States.
Olga PostnikovaAnimal Biosciences and Biotechnology Laboratory, Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, Beltsville, MD, United States.
Lea RempelU.S. Meat Animal Research Center, ARS, U.S. Department of Agriculture, Clay Center, NE, United States.
Matt CrouseU.S. Meat Animal Research Center, ARS, U.S. Department of Agriculture, Clay Center, NE, United States.
Bryan NevilleU.S. Meat Animal Research Center, ARS, U.S. Department of Agriculture, Clay Center, NE, United States.
Cary Pirone DaviesAnimal Biosciences and Biotechnology Laboratory, Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, Beltsville, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiome analysis has relied largely on metagenomics to characterize microbial populations and predict their functions. Here, we used a metaproteomic analysis of the fecal microbiome in piglets before and after weaning to compare protein abundances as they pertain to microbial populations specific to either a milk- or plant-based diet. Fecal samples were collected from six piglets on the day of weaning and 4 weeks after transitioning to a standard nursery diet. Using the 12,554 protein groups identified in samples, we confirmed the shift in protein composition that takes place in response to the microbial succession following weaning and demonstrated the redundancy in metabolic processes between taxa. We identified taxa with roles as primary degraders based on corresponding proteins synthesized, thereby providing evidence for cross-feeding. Proteins associated with the breakdown of milk-specific carbohydrates were common among pre-weaned pigs, whereas the proteome of post-weaned piglets contained a greater abundance of proteins involved in the breaking down plant-specific carbohydrates. Furthermore, output revealed that production of propionate takes place via the propionaldehyde pathway in pre-weaned piglets, but changes to production via the succinate pathway in post-weaned piglets. Finally, a disproportionate quantity of carbohydrate-active enzymes (CAZymes) (~8%) were produced by fungi, which typically only represent ~0.1% of the microbiome taxa. Information gathered through this characterization of the metaproteome before and after weaning revealed important differences regarding the role of members in the microbial community, thereby providing information for the optimization of diets and products for both piglet and microbiome health.

Indexed as

digestionmetaproteomemicrobiomeswineweaning

Identifiers

PMID40384785
PMCPMC12082470

What Socratic holds

Textmetadata
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 Socratic graph.