Evidence map›Paper›PMID 38837944›Full record

ArticleGigaScience2024

Mechanisms of hepatic steatosis in chickens: integrated analysis of the host genome, molecular phenomics and gut microbiome.

Congjiao Sun, Fangren Lan, Qianqian Zhou, Xiaoli Guo, Jiaming Jin, Chaoliang Wen, Yanxin Guo, Zhuocheng Hou, Jiangxia Zheng, Guiqin Wu and 5 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GigaScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Congjiao SunDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-9673-9533
Fangren LanDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0009-0005-9637-7762
Qianqian ZhouDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-6651-8182
Xiaoli GuoDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-8589-0203
Jiaming JinDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0009-0007-4183-4852
Chaoliang WenDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-0514-2847
Yanxin GuoDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Zhuocheng HouDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-4752-2255
Jiangxia ZhengDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-7464-3154
Guiqin WuBeijing Engineering Research Centre of Layer, Beijing 101206, China.
Guangqi LiBeijing Engineering Research Centre of Layer, Beijing 101206, China.
Yiyuan YanBeijing Engineering Research Centre of Layer, Beijing 101206, China.ORCID 0009-0006-4517-003X
Junying LiDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Qiugang MaDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-7260-3765
Ning YangDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-5772-3320

Funding

China Agricultural UniversityNational Key Research and Development Program of China 2022YFF1000204National Natural Science Foundation of China 31930105
6 · The paper itself

Abstract

Hepatic steatosis is the initial manifestation of abnormal liver functions and often leads to liver diseases such as nonalcoholic fatty liver disease in humans and fatty liver syndrome in animals. In this study, we conducted a comprehensive analysis of a large chicken population consisting of 705 adult hens by combining host genome resequencing; liver transcriptome, proteome, and metabolome analysis; and microbial 16S ribosomal RNA gene sequencing of each gut segment. The results showed the heritability (h2 = 0.25) and duodenal microbiability (m2 = 0.26) of hepatic steatosis were relatively high, indicating a large effect of host genetics and duodenal microbiota on chicken hepatic steatosis. Individuals with hepatic steatosis had low microbiota diversity and a decreased genetic potential to process triglyceride output from hepatocytes, fatty acid β-oxidation activity, and resistance to fatty acid peroxidation. Furthermore, we revealed a molecular network linking host genomic variants (GGA6: 5.59-5.69 Mb), hepatic gene/protein expression (PEMT, phosphatidyl-ethanolamine N-methyltransferase), metabolite abundances (folate, S-adenosylmethionine, homocysteine, phosphatidyl-ethanolamine, and phosphatidylcholine), and duodenal microbes (genus Lactobacillus) to hepatic steatosis, which could provide new insights into the regulatory mechanism of fatty liver development.

Indexed as

ChickensFatty LiverGastrointestinal MicrobiomeAnimalsGenomeLiverMetabolomePoultry DiseasesTranscriptomechickensgeneticshepatic steatosisintegrative analysismicrobiota

Identifiers

PMID38837944
PMCPMC11152177

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.