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Titel: Common diseases alter the physiological age-related blood microRNA profile
VerfasserIn: 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
Sprache: Englisch
Titel: Nature Communications
Bandnummer: 11
Heft: 1
Verlag/Plattform: Springer Nature
Erscheinungsjahr: 2020
Freie Schlagwörter: Machine learning
Microarrays
Non-coding RNAs
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
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 der Erstveröffentlichung: 10.1038/s41467-020-19665-1
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-336116
hdl:20.500.11880/30937
http://dx.doi.org/10.22028/D291-33611
ISSN: 2041-1723
Datum des Eintrags: 23-Mär-2021
Bezeichnung des in Beziehung stehenden Objekts: Supplementary information
In Beziehung stehendes Objekt: 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
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM4_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM5_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM6_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM7_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM8_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-020-19665-1/MediaObjects/41467_2020_19665_MOESM9_ESM.xlsx
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
Fakultät: M - Medizinische Fakultät
ZE - Zentrale Einrichtungen
Fachrichtung: M - Humangenetik
M - Innere Medizin
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
ZE - Zentrum für Bioinformatik(ZBI)
Professur: M - Prof. Dr. Frank Lammert
M - Prof. Dr. Eckhart Meese
ZE - Sonstige
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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