Author
Listed:
- Tobias Fehlmann
(Saarland University)
- Benoit Lehallier
(Stanford University)
- Nicholas Schaum
(Stanford University)
- Oliver Hahn
(Stanford University)
- Mustafa Kahraman
(Saarland University)
- Yongping Li
(Saarland University)
- Nadja Grammes
(Saarland University)
- Lars Geffers
(Luxembourg Center for Systems Biomedicine)
- Christina Backes
(Saarland University)
- Rudi Balling
(Luxembourg Center for Systems Biomedicine
Transversal Translational Medicine, Luxembourg Institute of Health (LIH)
Parkinson Research Clinic, Centre Hospitalier de Luxembourg)
- Fabian Kern
(Saarland University)
- Rejko Krüger
(Luxembourg Center for Systems Biomedicine
Transversal Translational Medicine, Luxembourg Institute of Health (LIH)
Parkinson Research Clinic, Centre Hospitalier de Luxembourg)
- Frank Lammert
(Saarland University)
- Nicole Ludwig
(Saarland University)
- Benjamin Meder
(University Hospital Heidelberg)
- Bastian Fromm
(Stockholm University)
- Walter Maetzler
(Christian-Albrechts-Universität zu Kiel)
- Daniela Berg
(Christian-Albrechts-Universität zu Kiel)
- Kathrin Brockmann
(TREND study center Tübingen)
- Christian Deuschle
(TREND study center Tübingen)
- Anna-Katharina Thaler
(TREND study center Tübingen)
- Gerhard W. Eschweiler
(University Hospital Tübingen)
- Sofiya Milman
(Albert Einstein College of Medicine)
- Nir Barziliai
(Albert Einstein College of Medicine)
- Matthias Reichert
(Saarland University)
- Tony Wyss-Coray
(Stanford University)
- Eckart Meese
(Saarland University)
- Andreas Keller
(Saarland University
Stanford University
Saarland University)
Abstract
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.
Suggested Citation
Tobias Fehlmann & Benoit Lehallier & Nicholas Schaum & Oliver Hahn & Mustafa Kahraman & Yongping Li & Nadja Grammes & Lars Geffers & Christina Backes & Rudi Balling & Fabian Kern & Rejko Krüger & Fran, 2020.
"Common diseases alter the physiological age-related blood microRNA profile,"
Nature Communications, Nature, vol. 11(1), pages 1-14, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19665-1
DOI: 10.1038/s41467-020-19665-1
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