Evidence map›Paper›PMID 38926642›Full record

ArticleBMC genomics2024

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 and 6 more

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

16 authors.

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, Beijing, 100021, China.
Shuaiyao Lu *Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Jing Yang *Institute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Yun YangInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Li JiaoInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Jingwen HuInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Yanyan LiInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Fengmei YangInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Yunli PangInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Yuan ZhaoInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China.
Yanpan GaoDepartment of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, CAMS & PUMC, Beijing, 100005, China.
Wei LiuDepartment of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, CAMS & PUMC, Beijing, 100005, China.
Pengcheng ShuDepartment of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, CAMS & PUMC, Beijing, 100005, China.
Wei GeDepartment of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, CAMS & PUMC, Beijing, 100005, China.
Zhanlong HeInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, 650031, China. hzl@imbcams.com.
Xiaozhong PengState 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, Beijing, 100021, China. pengxiaozhong@pumc.edu.cn.

Funding

National Key R&D Program of China 2022YFA1103803
6 · The paper itself

Abstract

backgroundAging 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).

resultsOur 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.

conclusionsOur 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.

Indexed as

AgingBiomarkersExosomesMacaca mulattaProteomicsAnimalsGene Expression ProfilingGenomicsModels, AnimalProteomeRNA, Long NoncodingRNA, MessengerTranscriptomeBiomarkersProteomeRNA, Long NoncodingRNA, MessengerAgingBiomarkersLncRNAsNonhuman primateSerum-derived exosomes

Identifiers

PMID38926642
PMCPMC11209966

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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.