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Mendeley readers
Attention Score in Context
| Title |
Understanding metabolic changes in aging bone marrow
|
|---|---|
| Published in |
Experimental Hematology & Oncology, May 2018
|
| DOI | 10.1186/s40164-018-0105-x |
| Pubmed ID | |
| Authors |
Kwasi M. Connor, Young Hsu, Pardeep Kumar Aggarwal, Stephen Capone, Anthony R. Colombo, Giridharan Ramsingh |
| Abstract |
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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 5 | 16% |
| Student > Bachelor | 3 | 9% |
| Other | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 22% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Agricultural and Biological Sciences | 6 | 19% |
| Medicine and Dentistry | 4 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 9 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 June 2018.
All research outputs
#18,632,069
of 23,081,466 outputs
Outputs from Experimental Hematology & Oncology
#207
of 299 outputs
Outputs of similar age
#255,311
of 330,256 outputs
Outputs of similar age from Experimental Hematology & Oncology
#4
of 6 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 299 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.