Please use this identifier to cite or link to this item: doi:10.22028/D291-33611
Title: Common diseases alter the physiological age-related blood microRNA profile
Author(s): Fehlmann, Tobias
Lehallier, Benoit
Schaum, Nicholas
Hahn, Oliver
Kahraman, Mustafa
Li, Yongping
Grammes, Nadja
Geffers, Lars
Backes, Christina
Balling, Rudi
Kern, Fabian
Krüger, Rejko
Lammert, Frank
Ludwig, Nicole
Meder, Benjamin
Fromm, Bastian
Maetzler, Walter
Berg, Daniela
Brockmann, Kathrin
Deuschle, Christian
von Thaler, Anna-Katharina
Eschweiler, Gerhard W
Milman, Sofiya
Barziliai, Nir
Reichert, Matthias
Wyss-Coray, Tony
Meese, Eckart
Keller, Andreas
Language: English
Title: Nature Communications
Volume: 11
Issue: 1
Publisher/Platform: Springer Nature
Year of Publication: 2020
Free key words: Machine learning
Microarrays
Non-coding RNAs
DDC notations: 610 Medicine and health
Publikation type: Journal Article
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.
DOI of the first publication: 10.1038/s41467-020-19665-1
Link to this record: urn:nbn:de:bsz:291--ds-336116
hdl:20.500.11880/30937
http://dx.doi.org/10.22028/D291-33611
ISSN: 2041-1723
Date of registration: 23-Mar-2021
Description of the related object: Supplementary information
Related object: https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM1_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM2_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM3_ESM.pdf
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https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM5_ESM.xlsx
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https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM10_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM11_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM12_ESM.pdf
Faculty: M - Medizinische Fakultät
ZE - Zentrale Einrichtungen
Department: M - Humangenetik
M - Innere Medizin
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
ZE - Zentrum für Bioinformatik(ZBI)
Professorship: M - Prof. Dr. Frank Lammert
M - Prof. Dr. Eckhart Meese
ZE - Sonstige
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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