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WeightNameValue
1000 Titel
  • The use of urinary proteomics in the assessment of suitability of mouse models for ageing
1000 Autor/in
  1. Nkuipou-Kenfack, Esther |
  2. Schanstra, Joost P |
  3. Bajwa, Seerat |
  4. Pejchinovski, Martin |
  5. Vinel, Claire |
  6. Dray, Cedric |
  7. Valet, Philippe |
  8. Bascands, Jean-loup |
  9. Vlahou, Antonia |
  10. Koeck, Thomas |
  11. Borries, Melanie |
  12. Busch, Hauke |
  13. Bechtel-Walz, Wibke |
  14. Huber, Tobias B. |
  15. Rudolph, Karl Lenhard |
  16. Pich, Andreas |
  17. Mischak, Harald |
  18. Zürbig, Petra |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-02-15
1000 Erschienen in
1000 Quellenangabe
  • 12(2):e0166875
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0166875 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/28199320/ |
1000 Ergänzendes Material
  • https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0166875#sec015 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Ageing is a complex process characterised by a systemic and progressive deterioration of biological functions. As ageing is associated with an increased prevalence of age-related chronic disorders, understanding its underlying molecular mechanisms can pave the way for therapeutic interventions and managing complications. Animal models such as mice are commonly used in ageing research as they have a shorter lifespan in comparison to humans and are also genetically close to humans. To assess the translatability of mouse ageing to human ageing, the urinary proteome in 89 wild-type (C57BL/6) mice aged between 8–96 weeks was investigated using capillary electrophoresis coupled to mass spectrometry (CE-MS). Using age as a continuous variable, 295 peptides significantly correlated with age in mice were identified. To investigate the relevance of using mouse models in human ageing studies, a comparison was performed with a previous correlation analysis using 1227 healthy subjects. In mice and humans, a decrease in urinary excretion of fibrillar collagens and an increase of uromodulin fragments was observed with advanced age. Of the 295 peptides correlating with age, 49 had a strong homology to the respective human age-related peptides. These ortholog peptides including several collagen (N = 44) and uromodulin (N = 5) fragments were used to generate an ageing classifier that was able to discriminate the age among both wild-type mice and healthy subjects. Additionally, the ageing classifier depicted that telomerase knock-out mice were older than their chronological age. Hence, with a focus on ortholog urinary peptides mouse ageing can be translated to human ageing.
1000 Sacherschließung
lokal Support vector machines
lokal Mouse models
lokal Kidneys
lokal Proteomes
lokal Urine
lokal Aging and cancer
lokal Collagens
lokal Aging
1000 Fachgruppe
  1. Medizin |
  2. Biologie |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/Tmt1aXBvdS1LZW5mYWNrLCBFc3RoZXI=|http://orcid.org/0000-0002-7471-372X|https://frl.publisso.de/adhoc/creator/QmFqd2EsIFNlZXJhdA==|http://orcid.org/0000-0002-8029-5800|https://frl.publisso.de/adhoc/creator/VmluZWwsIENsYWlyZQ==|https://frl.publisso.de/adhoc/creator/RHJheSwgQ2Vkcmlj|https://frl.publisso.de/adhoc/creator/VmFsZXQsIFBoaWxpcHBl|http://orcid.org/0000-0002-1667-5913|http://orcid.org/0000-0003-3284-5713|https://frl.publisso.de/adhoc/creator/S29lY2ssIFRob21hcw==|https://frl.publisso.de/adhoc/creator/Qm9ycmllcywgTWVsYW5pZQ==|http://orcid.org/0000-0003-4763-4521|http://orcid.org/0000-0001-6032-3627|https://frl.publisso.de/adhoc/creator/SHViZXIsIFRvYmlhcyBCLg==|http://orcid.org/0000-0002-4839-2862|https://frl.publisso.de/adhoc/creator/UGljaCwgQW5kcmVhcw==|http://orcid.org/0000-0003-0323-0306|http://orcid.org/0000-0003-3465-2173
1000 (Academic) Editor
1000 Förderer
  1. European Union |
  2. Federal Ministry of Education and Research (BMBF) |
  3. Ministerium für Wissenschaft Baden-Württemberg |
  4. German Research Foundation (DFG) |
1000 Fördernummer
  1. GA 31354; CIG 293568; 616891
  2. 031 5896A; EXC294
  3. -
  4. CRC 992; 01GM1518C
1000 Förderprogramm
  1. FP7-PEOPLE-2011-ITN; European Research Council-ERC
  2. Gerontosys II; BIOSS II
  3. Margarete von Wrangell Habilitationsprogramm
  4. Heisenberg program; BMBF-STOP-FSGS
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer European Union |
    1000 Förderprogramm FP7-PEOPLE-2011-ITN; European Research Council-ERC
    1000 Fördernummer GA 31354; CIG 293568; 616891
  2. 1000 joinedFunding-child
    1000 Förderer Federal Ministry of Education and Research (BMBF) |
    1000 Förderprogramm Gerontosys II; BIOSS II
    1000 Fördernummer 031 5896A; EXC294
  3. 1000 joinedFunding-child
    1000 Förderer Ministerium für Wissenschaft Baden-Württemberg |
    1000 Förderprogramm Margarete von Wrangell Habilitationsprogramm
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer German Research Foundation (DFG) |
    1000 Förderprogramm Heisenberg program; BMBF-STOP-FSGS
    1000 Fördernummer CRC 992; 01GM1518C
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6410989.rdf
1000 Erstellt am 2018-11-12T15:16:01.103+0100
1000 Erstellt von 285
1000 beschreibt frl:6410989
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Wed Nov 14 13:53:19 CET 2018
1000 Objekt bearb. Wed Nov 14 13:49:15 CET 2018
1000 Vgl. frl:6410989
1000 Oai Id
  1. oai:frl.publisso.de:frl:6410989 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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