Transcriptome analysis of cynomolgus macaques throughout their lifespan reveals age-related immune patterns

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Title
Transcriptome analysis of cynomolgus macaques throughout their lifespan reveals age-related immune patterns
Author(s)
Hyeon-Mu Cho; Se-Hee Choe; Ja-Rang Lee; Hye Ri Park; Min-Gyeong Ko; Yun-Jung Lee; Hwal Yong LeeSung Hyun ParkSang Je ParkYoung Hyun KimJae Won Huh
Bibliographic Citation
npj Aging, vol. 10, pp. 30-30
Publication Year
2024
Abstract
Despite the different perspectives by diverse research sectors spanning several decades, aging research remains uncharted territory for human beings. Therefore, we investigated the transcriptomic characteristics of eight male healthy cynomolgus macaques, and the annual sampling was designed with two individuals in four age groups. As a laboratory animal, the macaques were meticulously shielded from all environmental factors except aging. The results showed recent findings of certain immune response and the age-associated network of primate immunity. Three important aging patterns were identified and each gene clusters represented a different immune response. The increased expression pattern was predominantly associated with innate immune cells, such as Neutrophils and NK cells, causing chronic inflammation with aging whereas the other two decreased patterns were associated with adaptive immunity, especially "B cell activation" affecting antibody diversity of aging. Furthermore, the hub gene network of the patterns reflected transcriptomic age and correlated with human illness status, aiding in future human disease prediction. Our macaque transcriptome profiling results offer systematic insights into the age-related immunological features of primates.
ISSN
2731-6068
Publisher
Springer-Nature Pub Group
Full Text Link
http://dx.doi.org/10.1038/s41514-024-00158-0
Type
Article
Appears in Collections:
Jeonbuk Branch Institute > Primate Resources Center > 1. Journal Articles
Ochang Branch Institute > Division of National Bio-Infrastructure > National Primate Research Center > 1. Journal Articles
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