TY - JOUR
T1 - Common diseases alter the physiological age-related blood microRNA profile
AU - Fehlmann, Tobias
AU - Lehallier, Benoit
AU - Schaum, Nicholas
AU - Hahn, Oliver
AU - Kahraman, Mustafa
AU - Li, Yongping
AU - Grammes, Nadja
AU - Geffers, Lars
AU - Backes, Christina
AU - Balling, Rudi
AU - Kern, Fabian
AU - Krüger, Rejko
AU - Lammert, Frank
AU - Ludwig, Nicole
AU - Meder, Benjamin
AU - Fromm, Bastian
AU - Maetzler, Walter
AU - Berg, Daniela
AU - Brockmann, Kathrin
AU - Deuschle, Christian
AU - von Thaler, Anna Katharina
AU - Eschweiler, Gerhard W.
AU - Milman, Sofiya
AU - Barziliai, Nir
AU - Reichert, Matthias
AU - Wyss-Coray, Tony
AU - Meese, Eckart
AU - Keller, Andreas
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12
Y1 - 2020/12
N2 - Aging is a key risk factor for chronic diseases of the elderly. MicroRNAs regulate post-transcriptional gene silencing through base-pair binding on their target mRNAs. We identified nonlinear changes in age-related microRNAs by analyzing whole blood from 1334 healthy individuals. We observed a larger influence of the age as compared to the sex and provide evidence for a shift to the 5’ mature form of miRNAs in healthy aging. The addition of 3059 diseased patients uncovered pan-disease and disease-specific alterations in aging profiles. Disease biomarker sets for all diseases were different between young and old patients. Computational deconvolution of whole-blood miRNAs into blood cell types suggests that cell intrinsic gene expression changes may impart greater significance than cell abundance changes to the whole blood miRNA profile. Altogether, these data provide a foundation for understanding the relationship between healthy aging and disease, and for the development of age-specific disease biomarkers.
AB - Aging is a key risk factor for chronic diseases of the elderly. MicroRNAs regulate post-transcriptional gene silencing through base-pair binding on their target mRNAs. We identified nonlinear changes in age-related microRNAs by analyzing whole blood from 1334 healthy individuals. We observed a larger influence of the age as compared to the sex and provide evidence for a shift to the 5’ mature form of miRNAs in healthy aging. The addition of 3059 diseased patients uncovered pan-disease and disease-specific alterations in aging profiles. Disease biomarker sets for all diseases were different between young and old patients. Computational deconvolution of whole-blood miRNAs into blood cell types suggests that cell intrinsic gene expression changes may impart greater significance than cell abundance changes to the whole blood miRNA profile. Altogether, these data provide a foundation for understanding the relationship between healthy aging and disease, and for the development of age-specific disease biomarkers.
UR - http://www.scopus.com/inward/record.url?scp=85096593154&partnerID=8YFLogxK
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U2 - 10.1038/s41467-020-19665-1
DO - 10.1038/s41467-020-19665-1
M3 - Article
C2 - 33235214
AN - SCOPUS:85096593154
SN - 2041-1723
VL - 11
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 5958
ER -