Evidence map›Paper›PMID 37386405›Full record

ArticleBMC genomics2023

Genome wide transcriptome analysis provides bases on hepatic lipid metabolism disorder affected by increased dietary grain ratio in fattening lambs.

Hui Mi, Fan Hu, Kefyalew Gebeyew, Yan Cheng, Ruiping Du, Min Gao, Zhixiong He, Zhiliang Tan

Open access · goldAbstract readRandomized Controlled Trial, Veterinary
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Hui Mi *CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Institute of Subtropical Agriculture, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, The Chinese Academy of Sciences, Changsha, 410125, China.
Fan Hu *CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Institute of Subtropical Agriculture, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, The Chinese Academy of Sciences, Changsha, 410125, China.
Kefyalew GebeyewCAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Institute of Subtropical Agriculture, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, The Chinese Academy of Sciences, Changsha, 410125, China.
Yan ChengCAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Institute of Subtropical Agriculture, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, The Chinese Academy of Sciences, Changsha, 410125, China.
Ruiping DuInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, 010031, China.
Min GaoInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, Inner Mongolia, 010031, China.
Zhixiong HeCAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Institute of Subtropical Agriculture, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, The Chinese Academy of Sciences, Changsha, 410125, China. zxhe@isa.ac.cn.
Zhiliang TanCAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Institute of Subtropical Agriculture, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, The Chinese Academy of Sciences, Changsha, 410125, China.
Institute of Subtropical Agriculture · CNUniversity of Chinese Academy of Sciences · CNInner Mongolia Academy of Agricultural & Animal Husbandry Sciences · CN

Funding

Innovation Province Project 2019RS3021National Natural Science Foundation of China 32072760Natural Science Foundation of Hunan Province of China 2022JJ10054Strategic Priority Research Program Grant XDA26040304the Science and Technology Development Project of Jilin Province 20200201140JCthe Technology Cooperation High-Tech Industrialization Project of Jilin Province and the Chinese Academy of Sciences 2022SYHZ0020
6 · The paper itself

Abstract

backgroundThe liver is a principal metabolic organ and has a major role in regulating lipid metabolism. With the development of rapidly fattening livestock in the modern breeding industry, the incidence of hepatic steatosis and accumulation in animals was significantly increased. However, the molecular mechanisms responsible for hepatic lipid metabolic disturbances in a high concentrate diet remain unclear. The objective of this study was to evaluate the effects of increasing concentrate level in a fattening lamb diet on biochemical indices, hepatic triglycerides (TG) concentration, and hepatic transcriptomic profiles. In the present study, 42 weaned lambs (about 3 ± 0.3 months old) were randomly assigned to the GN60 group (60% concentrate of dry matter, GN60, n = 21) or GN70 group (70% concentrate of dry matter, n = 21) for a 3-months feeding trial.

resultsNo difference was observed in the growth performance or plasma biochemical parameters between the GN60 group and the GN70 group. The hepatic TG concentration was higher in the GN70 group than GN60 group (P < 0.05). Hepatic transcriptomic analysis showed that there were 290 differentially expressed genes identified between GN60 and GN70 groups, with 125 genes up-regulated and 165 genes down-regulated in the GN70 group. The enriched Gene Ontology (GO) items and KEGG pathways and protein-protein interaction (PPI) network of differentially expressed genes (DEGs) revealed that the majority of enriched pathways were related to lipid metabolism. Further analysis revealed that the fatty acid synthesis was up-regulated, while fatty acid transport, oxidation, and TG degradation were down-regulated in the GN70 group when compared with the GN60 group.

conclusionsThese results indicated that GN70 induced excess lipid deposition in the liver of lambs during the fattening period, with high synthesis rates and low degradation rates of TG. The identified mechanisms may help understand hepatic metabolism in lambs with a high concentrate diet and provide insight into decreasing the risk of liver metabolism disorder in animals.

Indexed as

Lipid MetabolismLipid Metabolism DisordersAnimalsDietEdible GrainFatty AcidsGene Expression ProfilingLipidsLiverPlant BreedingSheepSheep, DomesticFatty AcidsLipidsDietary grain ratioFattening lambHepatic lipid metabolismRNA-sequencing

Identifiers

PMID37386405
PMCPMC10308664
OpenAlexW4382560219

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Registered trials

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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.