Analysis of the aging-related biomarker in a nonhuman primate model using multilayer omics
Yunpeng Liu,
Shuaiyao Lu,
Jing Yang,
Yun Yang,
Li Jiao,
Jingwen Hu,
Yanyan Li,
Fengmei Yang,
Yunli Pang,
Yuan Zhao,
Yanpan Gao,
Wei Liu,
Pengcheng Shu,
Wei Ge,
Zhanlong He,
Xiaozhong Peng
Affiliations
Yunpeng Liu
State Key Laboratory of Respiratory Health and Multimorbidity, National Center of Technology Innovation for Animal Model, National Human Diseases Animal Model Resource Center, NHC Key Laboratory of Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences, CAMS & PUMC
Shuaiyao Lu
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Jing Yang
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Yun Yang
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Li Jiao
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Jingwen Hu
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Yanyan Li
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Fengmei Yang
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Yunli Pang
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Yuan Zhao
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Yanpan Gao
Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, CAMS & PUMC
Wei Liu
Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, CAMS & PUMC
Pengcheng Shu
Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, CAMS & PUMC
Wei Ge
Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, CAMS & PUMC
Zhanlong He
Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College
Xiaozhong Peng
State Key Laboratory of Respiratory Health and Multimorbidity, National Center of Technology Innovation for Animal Model, National Human Diseases Animal Model Resource Center, NHC Key Laboratory of Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Sciences, CAMS & PUMC
Abstract Background Aging is a prominent risk factor for diverse diseases; therefore, an in-depth understanding of its physiological mechanisms is required. Nonhuman primates, which share the closest genetic relationship with humans, serve as an ideal model for exploring the complex aging process. However, the potential of the nonhuman primate animal model in the screening of human aging markers is still not fully exploited. Multiomics analysis of nonhuman primate peripheral blood offers a promising approach to evaluate new therapies and biomarkers. This study explores aging-related biomarker through multilayer omics, including transcriptomics (mRNA, lncRNA, and circRNA) and proteomics (serum and serum-derived exosomes) in rhesus monkeys (Macaca mulatta). Results Our findings reveal that, unlike mRNAs and circRNAs, highly expressed lncRNAs are abundant during the key aging period and are associated with cancer pathways. Comparative analysis highlighted exosomal proteins contain more types of proteins than serum proteins, indicating that serum-derived exosomes primarily regulate aging through metabolic pathways. Finally, eight candidate aging biomarkers were identified, which may serve as blood-based indicators for detecting age-related brain changes. Conclusions Our results provide a comprehensive understanding of nonhuman primate blood transcriptomes and proteomes, offering novel insights into the aging mechanisms for preventing or treating age-related diseases.
