Evidence map›Paper›PMID 36916818›Full record

ArticleMicrobial biotechnology2023

Extensive identification of serum metabolites related to microbes in different gut locations and evaluating their associations with porcine fatness.

Qin Liu, Maozhang He, Zhijun Zeng, Xiaochang Huang, Shaoming Fang, Yuanzhang Zhao, Shanlin Ke, Jinyuan Wu, Yunyan Zhou, Xinwei Xiong and 4 more

Open access · goldAbstract read
In one paragraph

Article in Microbial biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Frontiers in immunology · 2025
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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

14 authors at 3 institutions in 1 country.

Qin LiuNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Maozhang HeNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Zhijun ZengResearch Center for Differention and Development of TCM Basic Theory, Jiangxi Province Key Laboratory of TCM Etiopathogenisis, Jiangxi University of Chinese Medicine, Nanchang, China.
Xiaochang HuangNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Shaoming FangNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Yuanzhang ZhaoNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Shanlin KeNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Jinyuan WuNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Yunyan ZhouNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Xinwei XiongNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Zhuojun LiNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Hao FuNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Lusheng HuangNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Congying ChenNational Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.ORCID 0000-0001-7112-448X
Jiangxi Agricultural University · CNAnhui Medical University · CNJiangxi University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota plays important roles in host metabolism. Whether and how much the gut microbiota in different gut locations contributes to the variations of host serum metabolites are largely unknown, because it is difficult to obtain microbial samples from different gut locations on a large population scale. Here, we quantified the gut microbial compositions using 16S rRNA gene sequencing for 1070 samples collected from the ileum, cecum and faeces of 544 F6 pigs from a mosaic pig population. Untargeted metabolome measurements determined serum metabolome profiles. We found 1671, 12,985 and 103,250 significant correlations between circulating serum metabolites and bacterial ASVs in the ileum, cecum, and faeces samples. We detected nine serum metabolites showing significant correlations with gut bacteria in more than one gut location. However, most metabolite-microbiota pairwise associations were gut location-specific. Targeted metabolome analysis revealed that CDCA, taurine, L-leucine and N-acetyl-L-alanine can be used as biomarkers to predict porcine fatness. Enriched taxa in fat pigs, for example Prevotella and Lawsonia intracellularis were positively associated with L-leucine, while enriched taxa in lean pigs, such as Clostridium butyricum, were negatively associated with L-leucine and CDCA, but positively associated with taurine and N-acetyl-L-alanine. These results suggested that the contributions of gut microbiota in each gut location to the variations of serum metabolites showed spatial heterogeneity.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsBacteriaCecumLeucineMetabolomeRNA, Ribosomal, 16SSwineLeucineRNA, Ribosomal, 16S

Identifiers

PMID36916818
PMCPMC10221527
OpenAlexW4324128633

What OpenQuestion 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 OpenQuestion graph.