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Experimental Hematology & Oncology

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Open Access 01-12-2018 | Research

Understanding metabolic changes in aging bone marrow

Authors: Kwasi M. Connor, Young Hsu, Pardeep Kumar Aggarwal, Stephen Capone, Anthony R. Colombo, Giridharan Ramsingh

Published in: Experimental Hematology & Oncology | Issue 1/2018

Abstract

Background

Aging is associated with complex molecular alterations at the cellular level. Bone marrow exhibits distinct phenotypic, genetic and epigenetic alterations with aging. Metabolic changes in the bone marrow related to aging have not been studied.

Methods

In this study, we characterized the metabolome and transcriptome of aging murine bone marrow and compared it with bone marrow from young healthy mice and chemotherapy treated mice; chemotherapy treatment is known to induce age-related changes in hematopoiesis.

Results

The metabolome of the aging bone marrow exhibited a signature of suppressed fatty-acid oxidation: accumulation of free fatty acids, reduced acyl-carnitines and low β-hydroxy butyric acid. The aged bone marrow also exhibited a significant reduction in amino acid and nucleic acid pool. The transcriptome of the aging bone marrow revealed a signature of oxidative stress, known to be associated with mitochondrial dysfunction. Lastly, the metabolic and transcriptomic profiles of the bone marrow of chemotherapy treated mice did not show broad age-related changes but rather mostly resembled young healthy mice, suggestive of a lack of ‘metabolic aging’ with chemotherapy exposure.

Conclusion

Our results revealed broad changes in lipids, amino acids, and nucleotides in aging marrow tissue. Together, these data provide a rich resource for the study of metabolic changes associated with aging in bone marrow.

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Title: Understanding metabolic changes in aging bone marrow
Authors: Kwasi M. Connor
Young Hsu
Pardeep Kumar Aggarwal
Stephen Capone
Anthony R. Colombo
Giridharan Ramsingh
Publication date: 01-12-2018
Publisher: BioMed Central
Published in: Experimental Hematology & Oncology / Issue 1/2018
Electronic ISSN: 2162-3619
DOI: https://doi.org/10.1186/s40164-018-0105-x

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Abstract

Background

Methods

Results

Conclusion

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