title: Blood monocytes mimic endothelial progenitor cells.
abstract: The generation of endothelial progenitor cells (EPCs) from blood monocytes has been propagated as a novel approach in the diagnosis and treatment of cardiovascular diseases. Low-density lipoprotein (LDL) uptake and lectin binding together with endothelial marker expression are commonly used to define these EPCs. Considerable controversy exists regarding their nature, in particular, because myelomonocytic cells share several properties with endothelial cells (ECs). This study was performed to elucidate whether the commonly used endothelial marker determination is sufficient to distinguish supposed EPCs from monocytes. We measured endothelial, hematopoietic, and progenitor cell marker expression of monocytes before and after angiogenic culture by fluorescence microscopy, flow cytometry, and real-time reverse transcription-polymerase chain reaction. The function of primary monocytes and monocyte-derived supposed EPCs was investigated during vascular network formation and EC colony-forming unit (CFU-EC) development. Monocytes cultured for 4 to 6 days under angiogenic conditions lost CD14/CD45 and displayed a commonly accepted EPC phenotype, including LDL uptake and lectin binding, CD31/CD105/CD144 reactivity, and formation of cord-like structures. Strikingly, primary monocytes already expressed most tested endothelial genes and proteins at even higher levels than their supposed EPC progeny. Neither fresh nor cultured monocytes formed vascular networks, but CFU-EC formation was strictly dependent on monocyte presence. LDL uptake, lectin binding, and CD31/CD105/CD144 expression are inherent features of monocytes, making them phenotypically indistinguishable from putative EPCs. Consequently, monocytes and their progeny can phenotypically mimic EPCs in various experimental models.
authors.affiliation: Department of Blood group Serology and Transfusion Medicine, Medical University, Auenbrugger Pl. 38 A-8036, Graz, Austria.
authors.forename: Eva
authors.initials: E
authors.lastname: Rohde
authors.forename: Christina
authors.initials: C
authors.lastname: Malischnik
authors.forename: Daniela
authors.initials: D
authors.lastname: Thaler
authors.forename: Theresa
authors.initials: T
authors.lastname: Maierhofer
authors.forename: Werner
authors.initials: W
authors.lastname: Linkesch
authors.forename: Gerhard
authors.initials: G
authors.lastname: Lanzer
authors.forename: Christian
authors.initials: C
authors.lastname: Guelly
authors.forename: Dirk
authors.initials: D
authors.lastname: Strunk
mesh_terms: D015415:Biomarkers / Q000032:analysis; D002454:Cell Differentiation; D002478:Cells, Cultured; D008078:Cholesterol, LDL / Q000097:blood; D042783:Endothelial Cells / Q000378:metabolism*; D015672:Erythroid Precursor Cells / Q000502:physiology; D005434:Flow Cytometry; D018922:HL-60 Cells; D006801:Humans; D037102:Lectins / Q000097:blood; D008297:Male; D008856:Microscopy, Fluorescence; D009000:Monocytes / Q000378:metabolism*; D018919:Neovascularization, Physiologic; D016133:Polymerase Chain Reaction; D020133:Reverse Transcriptase Polymerase Chain Reaction; D013234:Stem Cells / Q000502:physiology*; D015854:Up-Regulation
chemical_list: D015415:Biomarkers; D008078:Cholesterol, LDL; D037102:Lectins