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Urine is a very good source for biomarker discovery because it accumulates the changes of body. The urinary proteome is influenced by various factors, which is a major challenge in urinary biomarker discovery. To circumvent these problems, simpler systems, such as animal models, should be used to establish associations between physiological or pathological conditions and changes in the urinary proteome. In this study, the urinary proteome of young (2-month-old) and old rats (20-month-old; 9 in each group) were analyzed using LC-MS/MS and quantified using the Progenesis LC-MS software. A total of 371 proteins were identified, 194 of which were shared between young and old rats. Based on the criteria of a fold change ≥ 2, P < 0.05 and being identified in each rat in the high abundance group, 33 proteins were changed (15 up-regulated and 18 down-regulated in old rats). By adding a more stringent standard (protein spectral counts from every rat in the higher group greater than those in the lower group), 8 proteins were changed consistently in all rats of between the groups, 2 of which are also altered in the urinary proteome of aging humans. There are no shared proteins between our results and the previous aging plasma proteome. Twenty of the 33 (60 %) changed proteins have been reported to be disease biomarkers, which implies that aging may share similar urinary changes with some diseases. The 33 proteins corresponded to 28 human orthologs, which are strongly expressed in the kidney, intestine, cerebellum and lung, according to the human protein ATLAS. Therefore, the urinary proteome may reflect aging conditions in these organs.
The name of the author is wrong, so we corrected them in this version.
Table S1 All the proteins identified and quantified in this experiment
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