PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Yousri, N.A.* ; Kastenmüller, G. ; AlHaq, W.G.* ; Holle, R. ; Kääb, S.* ; Mohney, R.P.* ; Gieger, C. ; Peters, A. ; Adamski, J. ; Suhre, K. ; Arayssi, T.*

Diagnostic and prognostic metabolites identified for joint symptoms in the KORA population.

J. Proteome Res. 15, 554-562 (2016)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
This study aims at identifying metabolites that significantly associate with self-reported joint symptoms (diagnostic) and metabolites that can predict the change from a symptom-free status to the development of self-reported joint symptoms after a 7 years period (prognostic). More than 300 metabolites were analyzed for 2246 subjects from the longitudinal study of the KORA (Cooperative Health Research in the Region of Augsburg, Germany), specifically the fourth survey S4 and its 7-year follow-up study F4. Two types of self-reported symptoms, chronic joint inflammation and worn out joints, were used for the analyses. Diagnostic analysis identified dysregulated metabolites in cases with symptoms compared with controls. Prognostic analysis identified metabolites that differentiate subjects in S4 who remained symptom-free after 7 years (F4) from those who developed any combination of symptoms. 48 metabolites were identified as nominally significantly (p < 0.05) associated with the self-reported symptoms in the diagnostic analysis, among which steroids show Bonferroni significance. 45 metabolites were identified as nominally significantly associated with developing symptoms after 7 years, among which hippurate showed Bonferroni significance. We show that metabolic profiles of self-reported joint symptoms are in line with metabolites known to associate with various forms of arthritis and suggest that future studies may benefit from that by investigating the possible use of self-reporting/questionnaire along with metabolic markers for the early referral of patients for further diagnostic workup and treatment of arthritis.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
4.173
1.053
2
2
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Arthritis ; Diagnosis ; Joint Inflammation ; Metabolomics ; Prognosis ; Rheumatoid Arthritis; Rheumatoid-arthritis; Dehydroepiandrosterone-sulfate; Osteoarthritis; Kynurenine; Phenotypes; Platform; Diseases; Plasma; Women
Sprache englisch
Veröffentlichungsjahr 2016
Prepublished im Jahr 2015
HGF-Berichtsjahr 2015
ISSN (print) / ISBN 1535-3893
e-ISSN 1535-3907
Zeitschrift Journal of Proteome Research
Quellenangaben Band: 15, Heft: 2, Seiten: 554-562 Artikelnummer: , Supplement: ,
Verlag American Chemical Society (ACS)
Verlagsort Washington
Begutachtungsstatus Peer reviewed
Institut(e) Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Health Economics and Health Care Management (IGM)
Institute of Epidemiology (EPI)
Institute of Genetic Epidemiology (IGE)
Institute of Experimental Genetics (IEG)
POF Topic(s) 30201 - Metabolic Health
30505 - New Technologies for Biomedical Discoveries
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
90000 - German Center for Diabetes Research
Forschungsfeld(er) Genetics and Epidemiology
Enabling and Novel Technologies
PSP-Element(e) G-505600-003
G-503700-001
G-505300-002
G-504091-004
G-504000-001
G-504100-001
G-501900-061
G-501900-402
G-504090-001
PubMed ID 26653129
DOI 10.1021/acs.jproteome.5b00951
WOS ID WOS:000369771700019
Scopus ID 84957685276
Erfassungsdatum 2015-12-31
[➜Korrektur melden]