Evidence map›Paper›PMID 42014993›Full record

ArticleBMC microbiology2026

Multi-omics integration analyses reveal microbiome and metabolome features in pregnant sow diarrhea induced by porcine epidemic diarrhea virus.

Xia Dong, Jiahui Yi, Ying Wang, Ao Zhou, Jing Zhang, Liangyu Shi, Cheng Wang

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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

7 authors.

Xia Dong *Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming & Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Hubei, 430023, China.
Jiahui Yi *Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming & Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Hubei, 430023, China.
Ying WangLaboratory of Genetic Breeding, Reproduction and Precision Livestock Farming & Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Hubei, 430023, China.
Ao ZhouLaboratory of Genetic Breeding, Reproduction and Precision Livestock Farming & Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Hubei, 430023, China. zhouao2008@aliyun.com.
Jing ZhangLaboratory of Genetic Breeding, Reproduction and Precision Livestock Farming & Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Hubei, 430023, China.
Liangyu ShiLaboratory of Genetic Breeding, Reproduction and Precision Livestock Farming & Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Hubei, 430023, China.
Cheng WangXiangxi Tujia and Miao Autonomous Prefecture Animal Husbandry and Aquatic Products Affairs Center, Hunan, 416300, China. wangcheng20130716@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbial dysbiosis and its derived-metabolites changes have been evidenced to participant in diarrhea piglets; little is known underlying the crosstalk between gut microbiota and metabolites in pregnant sow diarrhea induced with PEDV. In this study, we performed fecal metagenomic and metabolomic profiling in diarrheic pregnant sows infected with PEDV to evaluate the functional characteristics of gut microbiota and metabolites. Microbiome analysis revealed the alterations in composition and diversity of gut microbiota in diarrheic pregnant sows compared with non-diarrheic. The relative abundances of the genera Prevotella, Treponema and Bacteroides were significantly lower and the abundant of Lactobacillus and Ruminococcus were increased in diarrheic pregnant sows. In addition, we found that the increase of Ruminococcus_sp_CAG563, Mycoplasma_sp_CAG472, Prevotella_sp_CAG520, Candidatus_Melainabacteria_bacterium and Eubacterium_coprostanoligenes was the important characteristics in diarrheic pregnant sows. In addition, metabolomic analysis showed a distinct metabolic profile in diarrheic pregnant sows infected with PEDV and the differential metabolites were associated with secondary bile acid biosynthesis, protein digestion and absorption, amino acid biosynthesis. Moreover, our multi-omics data integration analysis indicated that the significant dominant bacteria in diarrheic pregnant sows were positively correlated with 5-aminovaleric acid, pantothenate, 8,4-oxyneolignan-4-xyloside and xanthine, while the predominant coexistence of Treponema, Bacteroides, and Fibrobacter promoted the production of dodecanedioic acid, sesamol and sebacic acid in non-diarrheic pregnant sows infected with PEDV. Taken together, our findings revealed the dynamic changes in the microbiota and metabolites of diarrheic pregnant sows during PEDV infection, identifying microbiota‑derived metabolites associated with host resistance, providing novel insight into the host–gut microbiota interaction.

Indexed as

Coronavirus InfectionsDiarrheaGastrointestinal MicrobiomeMetabolomePorcine epidemic diarrhea virusSwine DiseasesAnimalsBacteriaFecesFemaleMetagenomicsMultiomicsPregnancySwineGut microbiotaMetabolomicMetagenomicsPEDVPregnant sow diarrhea

Identifiers

PMID42014993
PMCPMC13237879

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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.