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The Potential Urinary Aging Markers from 20‐month‐old Rats
Author(s) -
Li Xundou,
Gao Youhe
Publication year - 2016
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.30.1_supplement.603.1
Subject(s) - proteome , urinary system , biomarker , urine , pathological , proteomics , biomarker discovery , ageing , homeostasis , physiology , medicine , biology , bioinformatics , endocrinology , biochemistry , gene
Different organs may have different aging processes. Is it possible to find markers of aging from different organs? Biomarker is measurable changes associated with physiological and/or pathophysiological conditions. Urine can be better source for biomarker discovery because it accumulates the changes of body while body removes them from blood by homeostatic mechanisms. 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 direct 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 (liquid chromatography‐mass spectrometry) 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. More age groups should be included in the study if more mass spectrometry time could be available for this study. Support or Funding Information This work was supported by the National Basic Research Program of China (2012CB517606, 2013CB530805, 2014CBA02005 and 2013FY114100).