Multiorgan transcriptomics in mice identifies immunoglobulin heavy constant mu ( <i>Ighm</i> ) as a tissue-level aging biomarker
Abstract
Identifying aging-associated biomarkers applicable for multiple tissues is challenging but crucial for assessing tissue aging. Here, we obtained and analyzed 456 transcriptomes on 17 organs from 30 C57BL/6 J mice with different ages, revealing the consistently upregulated mRNAs of Ighm , C4b , and Ccl8 in most aged organs. This finding received support from independent transcriptomic and proteomic datasets and was further validated through western blot, enzyme-linked immunosorbent assay (ELISA), and immunofluorescence, arguing for both Ighm mRNA and protein as tissue-level aging biomarkers, at least in mice. Its sensitivity to antiaging interventions further emphasizes the significance of Ighm in assessing tissue aging in mice.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (14)
Fan-Qian Yin
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Xia-Yan Wang
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Yong-Xuan Li
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Kai-Jing Li
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Si-Yu Ma
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Meng-Jiao Lv
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Zhen-Hua Liu
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Wei-Xia Zhong
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Yan Liu
Chuan-Fang Tang
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Hong-Shi Liu
Heilongjiang Provincial Hospital
Yuze Li
Heilongjiang Provincial Hospital
Fu-Hui Xiao
State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences
Qing-Peng Kong