SEARCHOTHERpreclinical research, endocrinology

other·preclinical research, endocrinology, nutrition, biomedical research·PMC10258790

Dynamic chromatin architecture of the porcine adipose tissues with weight gain and loss

Nature Communications · 34 authors, 12 centres

AI SUMMARY

FIDELITY 100%

POPULATIONAdult female miniature pigs with diet-induced weight gain or weight loss

INTERVENTIONDietary intervention leading to weight gain or weight loss over 12 weeks

COMPARISONComparisons between subcutaneous adipose tissue (SAT) and visceral adipose tissues (VATs), and between weight gain and weight loss groups

This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

AGENT 01 · STRUCTURED SUMMARY

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TL;DR

Using a pig model, this study generated high-resolution chromatin contact maps to show that 3D genome architecture remodeling underlies transcriptomic differences between subcutaneous and visceral adipose tissues during weight gain and loss, providing a resource for identifying obesity-related regulatory elements.

Full summary

1,035 CHARS

This preclinical study used adult female miniature pigs to investigate diet-induced changes in the 3D genome architecture of subcutaneous and visceral adipose tissues. The researchers generated 249 high-resolution in situ Hi-C maps to analyze chromatin contact patterns alongside transcriptomic data. The central finding is that remodeling of chromatin architecture, including changes in A/B compartments and TAD boundaries, underpins transcriptomic divergence between anatomically distinct fat depots, potentially linked to metabolic risks. The study also performed comparative analyses, finding similarities in obesity-related regulatory elements between pigs and humans, as well as species-specific elements. A key limitation is the use of bulk Hi-C, which provides average chromatin features and does not resolve cellular heterogeneity. The implications suggest the pig model is valuable for studying human obesity and that the generated data can serve as a resource for linking obesity-associated genetic variants to target genes.

PICO

PPOPULATION

Adult female miniature pigs with diet-induced weight gain or weight loss

IINTERVENTION

Dietary intervention leading to weight gain or weight loss over 12 weeks

OOUTCOME

Changes in 3D chromatin architecture (A/B compartments, TADs) and transcriptomic profiles in adipose tissues

STUDY TYPE

other

SPECIALTY

preclinical research

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10258790

Dynamic chromatin architecture of the porcine adipose tissues with weight gain and loss

Nature Communications

READ THE FULL PAPER

ABSTRACT

Using an adult female miniature pig model with diet-induced weight gain/weight loss, we investigated the regulatory mechanisms of three-dimensional (3D) genome architecture in adipose tissues (ATs) associated with obesity. We generated 249 high-resolution in situ Hi-C chromatin contact maps of subcutaneous AT and three visceral ATs, analyzing transcriptomic and chromatin architectural changes under different nutritional treatments. We find that chromatin architecture remodeling underpins transcriptomic divergence in ATs, potentially linked to metabolic risks in obesity development. Analysis of chromatin architecture among subcutaneous ATs of different mammals suggests the presence of transcriptional regulatory divergence that could explain phenotypic, physiological, and functional differences in ATs. Regulatory element conservation analysis in pigs and humans reveals similarities in the regulatory circuitry of genes responsible for the obesity phenotype and identified non-conserved elements in species-specific gene sets that underpin AT specialization. This work provides a data-rich tool for discovering obesity-related regulatory elements in humans and pigs.

CITATION EXPORT

Long Jin, Danyang Wang, Jiaman Zhang et al.. Dynamic chromatin architecture of the porcine adipose tissues with weight gain and loss. Nature Communications. (2023). https://doi.org/10.1038/s41467-023-39191-0

AUTHORS

34 · 12 CENTRES

Long Jin, Danyang Wang, Jiaman Zhang, Pengliang Liu, Yujie Wang, Yu Lin, Can Liu, Ziyin Han, Keren Long, Diyan Li, Yu Jiang, Guisen Li, Yu Zhang, Jingyi Bai, Xiaokai Li, Jing Li, Lu Lu, Fanli Kong, Xun Wang, Hua Li, Zhiqing Huang, Jideng Ma, Xiaolan Fan, Linyuan Shen, Li Zhu, Yanzhi Jiang, Guoqing Tang, Bin Feng, Bo Zeng, Liangpeng Ge, Xuewei Li, Qianzi Tang, Zhihua Zhang, Mingzhou Li

1grid.80510.3c0000 0001 0185 3134Livestock and Poultry Multi-omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
2grid.80510.3c0000 0001 0185 3134Animal Breeding and Genetics Key Laboratory of Sichuan Province, Institute of Animal Genetics and Breeding, Sichuan Agricultural University, Chengdu, 611130 China
3grid.464209.d0000 0004 0644 6935CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, 100101 Beijing, China
4grid.410726.60000 0004 1797 8419School of Life Science, University of Chinese Academy of Sciences, 100049 Beijing, China
5grid.4422.00000 0001 2152 3263Sars-Fang Centre and MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, 266100 China
6grid.443369.f0000 0001 2331 8060Animal Molecular Design and Precise Breeding Key Laboratory of Guangdong Province, School of Life Science and Engineering, Foshan University, Foshan, 528225 China
7grid.411292.d0000 0004 1798 8975School of Pharmacy, Chengdu University, Chengdu, 610106 China
8grid.144022.10000 0004 1760 4150Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100 China
9grid.54549.390000 0004 0369 4060Institute of Nephrology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, 610072 China
10grid.80510.3c0000 0001 0185 3134Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu, 611130 China
11Ya’an Digital Economy Operation Company, Ya’an, 625014 China
12grid.410597.ePig Industry Sciences Key Laboratory of Ministry of Agriculture and Rural Affairs, Chongqing Academy of Animal Sciences, Chongqing, 402460 China