Differential roles of coding and non-coding transcripts in obesity: insights from RNA-seq analysis of Macaca fascicularis hepatocytes

Long non-coding RNAs (lncRNAs) can regulate metabolism-associated genes and cooperate to activate obesity-related pathways. However, the role of lncRNAs in obesity-related diabetes is not clear. To address this, we analyzed the hepatic transcriptomes of diabetic and non-diabetic Cynomolgus monkeys (Macaca fascicularis) using next-generation sequencing (NGS). Our findings demonstrate that coding and non-coding RNAs exhibit distinct patterns of expression, with coding mRNAs notably enriched for metabolic pathways and particularly lipid transport. At the same time, the expression of genes related to alcohol metabolism was suppressed in diabetic samples compared with normal samples. This study expands the understanding of the molecular underpinnings behind obesity and suggests possible avenues for precision treatment approaches that target metabolic diseases.

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Journal
BMC Genomics
Published
2025-12-22
DOI
https://doi.org/10.1186/s12864-025-12380-5
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
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article

Differential roles of coding and non-coding transcripts in obesity: insights from RNA-seq analysis of Macaca fascicularis hepatocytes

Ya Tan, Leonard Lipovich, Andrew P. Hutchins, Weizhong Z. Wang et al.
BMC Genomics
Cancer-related molecular mechanisms research
article

Differential roles of coding and non-coding transcripts in obesity: insights from RNA-seq analysis of Macaca fascicularis hepatocytes

Ya Tan, Leonard Lipovich, Andrew P. Hutchins, Weizhong Z. Wang, Z. Wang, Pengfei Zhang, Wenling Zheng, Yu Liu, Linna Liu
article en

Abstract

Long non-coding RNAs (lncRNAs) can regulate metabolism-associated genes and cooperate to activate obesity-related pathways. However, the role of lncRNAs in obesity-related diabetes is not clear. To address this, we analyzed the hepatic transcriptomes of diabetic and non-diabetic Cynomolgus monkeys (Macaca fascicularis) using next-generation sequencing (NGS). Our findings demonstrate that coding and non-coding RNAs exhibit distinct patterns of expression, with coding mRNAs notably enriched for metabolic pathways and particularly lipid transport. At the same time, the expression of genes related to alcohol metabolism was suppressed in diabetic samples compared with normal samples. This study expands the understanding of the molecular underpinnings behind obesity and suggests possible avenues for precision treatment approaches that target metabolic diseases.

BMC GenomicsVol. 26(1)
Guangzhou Institutes of Biomedicine and Health (CN), Southern University of Science and Technology (CN), Hua Yuan Group (China) (CN), Beike Biotechnology (China) (CN), Shenzhen Institutes of Advanced Technology (CN)
Good health and well-being
Openalex Percentile: Top 35%
Cancer-related molecular mechanisms research
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