| Title |
Urine proteomes of healthy aging humans reveal extracellular matrix (ECM) alterations and immune system dysfunction
|
|---|---|
| Published in |
GeroScience, August 2013
|
| DOI | 10.1007/s11357-013-9562-7 |
| Pubmed ID | |
| Authors |
M. Bakun, G. Senatorski, T. Rubel, A. Lukasik, P. Zielenkiewicz, M. Dadlez, L. Paczek |
| Abstract |
Aging is a complex physiological process that poses considerable conundrums to rapidly aging societies. For example, the risk of dying from cardiovascular diseases and/or cancer steadily declines for people after their 60s, and other causes of death predominate for seniors older than 80 years of age. Thus, physiological aging presents numerous unanswered questions, particularly with regard to changing metabolic patterns. Urine proteomics analysis is becoming a non-invasive and reproducible diagnostic method. We investigated the urine proteomes in healthy elderly people to determine which metabolic processes were weakened or strengthened in aging humans. Urine samples from 37 healthy volunteers aged 19-90 years (19 men, 18 women) were analyzed for protein expression by liquid chromatography-tandem mass spectrometry. This generated a list of 19 proteins that were differentially expressed in different age groups (young, intermediate, and old age). In particular, the oldest group showed protein changes reflective of altered extracellular matrix turnover and declining immune function, in which changes corresponded to reported changes in cardiovascular tissue remodeling and immune disorders in the elderly. Thus, urinary proteome changes in the elderly appear to reflect the physiological processes of aging and are particularly clearly represented in the circulatory and immune systems. Detailed identification of "protein trails" creates a more global picture of metabolic changes that occur in the elderly. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 28% |
| Researcher | 8 | 17% |
| Student > Bachelor | 7 | 15% |
| Student > Master | 5 | 11% |
| Other | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 22% |
| Agricultural and Biological Sciences | 10 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Computer Science | 3 | 7% |
| Nursing and Health Professions | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 6 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 September 2014.
All research outputs
#15,168,167
of 25,371,288 outputs
Outputs from GeroScience
#1,047
of 1,594 outputs
Outputs of similar age
#113,693
of 208,854 outputs
Outputs of similar age from GeroScience
#12
of 20 outputs
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