Evidence map›Paper›PMID 37179393›Full record

ArticleScientific data2023

Integrated microbiome-metabolome-genome axis data of Laiwu and Lulai pigs.

Xueshuang Lai, Zhenyang Zhang, Zhe Zhang, Shengqiang Liu, Chunyan Bai, Zitao Chen, Qamar Raza Qadri, Yifei Fang, Zhen Wang, Yuchun Pan and 1 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 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
1.1field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Application of Omics in Donkey Meat Research: A Review.Animals : an open access journal from MDPI · 2025
    Review
  4. Article
  5. Article
  6. Review
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

11 authors at 4 institutions in 1 country.

Xueshuang LaiDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
Zhenyang ZhangDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China.
Zhe ZhangDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China.
Shengqiang LiuDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China.
Chunyan BaiDepartment of Animal Science, College of Animal Sciences, Jilin University, Changchui, 130015, PR China.
Zitao ChenDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China.
Qamar Raza QadriDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
Yifei FangDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
Zhen WangDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China.
Yuchun PanDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China. panyc@zju.edu.cn.ORCID 0000-0002-1163-5963
Qishan WangDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310030, PR China. wangqishan@zju.edu.cn.ORCID 0000-0002-6475-0009
Zhejiang University · CNSanya University · CNShanghai Jiao Tong University · CNJilin University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32272833National Natural Science Foundation of China (National Science Foundation of China) U21A20249
6 · The paper itself

Abstract

Excessive fat deposition can trigger metabolic diseases, and it is crucial to identify factors that can break the link between fat deposition and metabolic diseases. Healthy obese Laiwu pigs (LW) are high in fat content but resistant to metabolic diseases. In this study, we compared the fecal microbiome, fecal and blood metabolome, and genome of LW and Lulai pigs (LU) to identify factors that can block the link between fat deposition and metabolic diseases. Our results show significant differences in Spirochetes and Treponema, which are involved in carbohydrate metabolism, between LW and LU. The fecal and blood metabolome composition was similar, and some anti-metabolic disease components of blood metabolites were different between the two breeds of pigs. The predicted differential RNA is mainly enriched in lipid metabolism and glucose metabolism, which is consistent with the functions of differential microbiota and metabolites. The down-regulated gene RGP1 is strongly negatively correlated with Treponema. Our omics data would provide valuable resources for further scientific research on healthy obesity in both human and porcine.

Indexed as

MetabolomeMicrobiotaSwineAnimalsGenomeLipid MetabolismObesity

Identifiers

PMID37179393
PMCPMC10183000
OpenAlexW4376641126

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.