Affiliations: [a] Department of Anesthesia, Pain Management and Perioperative Medicine, Faculty of Medicine, Dalhousie University, Halifax, Canada
| [b] Praxisklinik Herz und Gefäße, Dresden, Germany
| [c] Institute of Clinical Haemostasiology and Transfusion Medicine, University of Saarland, Homburg, Germany
| [d] Department of Bioengineering, Imperial College London, London, UK
| [e] Central Institute for Biomedical Engineering, Department of Biomaterials, University of Ulm, Ulm, Germany
Corresponding author: A. Krüger-Genge, Department of Anesthesia, Pain Management and Perioperative Medicine, Faculty of Medicine, Dalhousie University, Halifax,
Canada. E-mail: firstname.lastname@example.org.
Abstract: In static or low-flow conditions erythrocytes form linear or three-dimensional aggregates with characteristic face-to-face morphology, similar to a stack of coins, often called rouleaux formation. This aggregation is reversible and shear dependent (i.e. dispersed at high shear and reformed at low shear or stasis) and caused by a variety of macromolecules present in the blood plasma. The plasma protein fibrinogen is the major plasma component promoting red blood cell (RBC) aggregation in blood, with an almost linear relationship between aggregate size and plasma fibrinogen concentration. However, other plasma proteins are also reported to increase RBC aggregation, e.g. α2-macroglobulin, immunoglobulin M or G. In addition, there is evidence, that plasma lipids like cholesterol or triglyceride may influence the aggregation of erythrocytes. In this study we evaluated whether there is an independent influence of proteins and lipids on the RBC aggregation. Using a regression analysis, we analyzed the correlation between the fibrinogen-, α2-macrogobulin-, immunoglobulin M-, Antithrombin III-, Protein C-, Factor VIII-, total cholesterol- and triglyceride concentration with RBC aggregation in blood samples from 2717 apparently healthy subjects or patients. An univariate analysis showed, that the only variable which correlates on a biologically relevant level is fibrinogen (r = 0.46). The multiple correlation coefficient corresponded to rmult = 0.589 what indicated that nearly 59% of the variation of the erythrocyte aggregation can be explained by the influencing factors used in this model. This clearly showed that there are additional factors which are involved in the process of erythrocyte aggregation and still are under discussion.