Metabolic signature associated with parameters of the complete blood count in apparently healthy individuals.
J. Cell. Mol. Med. 23, 5144-5153 (2019)
Metabolomics studies now approach large sample sizes and the health characterization of the study population often include complete blood count (CBC) results. Upon careful interpretation the CBC aids diagnosis and provides insight into the health status of the patient within a clinical setting. Uncovering metabolic signatures associated with parameters of the CBC in apparently healthy individuals may facilitate interpretation of metabolomics studies in general and related to diseases. For this purpose 879 subjects from the population-based Study of Health in Pomerania (SHIP)-TREND were included. Using metabolomics data resulting from mass-spectrometry based measurements in plasma samples associations of specific CBC parameters with metabolites were determined by linear regression models. In total, 118 metabolites significantly associated with at least one of the CBC parameters. Strongest associations were observed with metabolites of heme degradation and energy production/consumption. Inverse association seen with mean corpuscular volume and mean corpuscular haemoglobin comprised metabolites potentially related to kidney function. The presently identified metabolic signatures are likely derived from the general function and formation/elimination of blood cells. The wealth of associated metabolites strongly argues to consider CBC in the interpretation of metabolomics studies, in particular if mutual effects on those parameters by the disease of interest are known.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Apparently Healthy ; Blood Cell Metabolism ; Complete Blood Count ; Metabolomics ; Populationbased Study; Cell Distribution Width; Chain Amino-acids; Kidney-function; Inflammation; Erythrocytes; Hemostasis; Mechanisms; Platelets; Transport; Release
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2019
Prepublished im Jahr
HGF-Berichtsjahr
2019
ISSN (print) / ISBN
1582-1838
e-ISSN
1582-4934
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 23,
Heft: 8,
Seiten: 5144-5153
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Blackwell
Verlagsort
111 River St, Hoboken 07030-5774, Nj Usa
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
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Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30505 - New Technologies for Biomedical Discoveries
30201 - Metabolic Health
Forschungsfeld(er)
Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e)
G-503700-001
G-500600-003
G-500600-001
Förderungen
Copyright
Erfassungsdatum
2019-06-27