Evidence map›Paper›PMID 33812382›Full record

ArticleBMC genomics2021

Identification of the molecular regulation of differences in lipid deposition in dedifferentiated preadipocytes from different chicken tissues.

Zheng Ma, Na Luo, Lu Liu, Huanxian Cui, Jing Li, Hai Xiang, Huimin Kang, Hua Li, Guiping Zhao

Abstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

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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

9 authors.

Zheng Ma *School of Life Science and Engineering, Foshan University; Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, Foshan, 534861, China.
Na Luo *Institute of Animal Sciences, Chinese Academy of Agricultural Sciences; State Key Laboratory of Animal Nutrition, Beijing, 100193, China.
Lu LiuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences; State Key Laboratory of Animal Nutrition, Beijing, 100193, China.
Huanxian CuiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences; State Key Laboratory of Animal Nutrition, Beijing, 100193, China.
Jing LiSchool of Life Science and Engineering, Foshan University; Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, Foshan, 534861, China.
Hai XiangSchool of Life Science and Engineering, Foshan University; Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, Foshan, 534861, China.
Huimin KangSchool of Life Science and Engineering, Foshan University; Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, Foshan, 534861, China.
Hua LiSchool of Life Science and Engineering, Foshan University; Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, Foshan, 534861, China. okhuali@fosu.edu.cn.
Guiping ZhaoSchool of Life Science and Engineering, Foshan University; Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, Foshan, 534861, China. zhaoguiping@caas.cn.

Funding

Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding 2019B030301010Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding 201KSYS011High level talent program of Foshan University No. cgz07243Innovation Team of Precise Animal Breeding 2019KCXTD004Key-Area Research and Development Program of Guangdong Province 2020B020222002
6 · The paper itself

Abstract

backgroundA body distribution with high intramuscular fat and low abdominal fat is the ideal goal for broiler breeding. Preadipocytes with different origins have differences in terms of metabolism and gene expression. The transcriptome analysis performed in this study of intramuscular preadipocytes (DIMFPs) and adipose tissue-derived preadipocytes (DAFPs) aimed to explore the characteristics of lipid deposition in different chicken preadipocytes by dedifferentiation in vitro.

resultsCompared with DAFPs, the total lipid content in DIMFPs was reduced (P < 0.05). Moreover, 72 DEGs related to lipid metabolism were screened, which were involved in adipocyte differentiation, fatty acid transport and fatty acid synthesis, lipid stabilization, and lipolysis. Among the 72 DEGs, 19 DEGs were enriched in the PPAR signaling pathway, indicating its main contribution to the regulation of the difference in lipid deposition between DAFPs and DIMFPs. Among these 19 genes, the representative APOA1, ADIPOQ, FABP3, FABP4, FABP7, HMGCS2, LPL and RXRG genes were downregulated, but the ACSL1, FABP5, PCK2, PDPK1, PPARG, SCD, SCD5, and SLC27A6 genes were upregulated (P < 0.05 or P < 0.01) in the DIMFPs. In addition, the well-known pathways affecting lipid metabolism (MAPK, TGF-beta and calcium) and the pathways related to cell communication were enriched, which may also contribute to the regulation of lipid deposition. Finally, the regulatory network for the difference in lipid deposition between chicken DAFPs and DIMFPs was proposed based on the above information.

conclusionsOur data suggested a difference in lipid deposition between DIMFPs and DAFPs of chickens in vitro and proposed a molecular regulatory network for the difference in lipid deposition between chicken DAFPs and DIMFPs. The lipid content was significantly increased in DAFPs by the direct mediation of PPAR signaling pathways. These findings provide new insights into the regulation of tissue-specific fat deposition and the optimization of body fat distribution in broilers.

Indexed as

ChickensGene Expression ProfilingAbdominal FatAnimalsLipid MetabolismLipidsLipidsChickenDedifferentiated preadipocytesDEGsDifferent tissue derivationLipid deposition

Identifiers

PMID33812382
PMCPMC8019497

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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.