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Proteomics Clin Appl. 2018 Dec 13:e1800135. doi: 10.1002/prca.201800135. [Epub ahead of print]

Proteomic Evidence of Biological Aging in a Child with a Compound Heterozygous ZMPSTE24 Mutation.

Author information

1
Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK.
2
Developmental Endocrinology Research Group, School of Medicine, University of Glasgow, Glasgow, G51 4TF, UK.
3
Mosaiques Diagnostics GmbH, Rotenburger Str. 20, 30659, Hannover, Germany.
4
Department of Clinical Genetics, Queen Elizabeth University Hospital, Glasgow, G51 4TF, UK.

Abstract

BACKGROUND:

Progeria-like syndromes offer a unique insight into aging. Here the case of a boy affected with mandibuloacral dysplasia and compound heterozygous mutations in ZMPSTE24 is presented.

METHODS:

Capillary electrophoresis-mass spectroscopy is used for proteome analysis to analyze peptides previously found to be differentially regulated in chronic kidney disease (273 peptides defining the CKD273 classifier), coronary artery disease (238 peptides defining the CAD238 classifier), and aging (116 peptides defining the AGE116 classifier).

RESULTS:

No evidence of renal disease is identified. Although the boy has no overt cardiovascular disease other than a raised carotid intima media thickness relative to his age, a proteomic classifier for the diagnosis of coronary artery disease is mildly raised. The biological age based on the proteomic AGE116 classifier is 24 years compared to the chronological ages of 5 and 10 years. In contrast, a control group of healthy children has a significantly lower (p < 0.0001) calculated mean age of 13.

CONCLUSION:

Urinary proteomic analysis is effective in confirming advanced biological age and to identify early evidence of renal or cardiovascular damage. This case highlights the value of proteomic approaches in aging research and may represent a method for non-invasive monitoring of the effects of early aging.

KEYWORDS:

biomarkers; capillary electrophoresis-mass spectroscopy; progeria

PMID:
30548811
DOI:
10.1002/prca.201800135

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