Differential complement activation pathways promote C3b deposition on native and acetylated LDL thereby inducing lipoprotein binding to the complement receptor 1.

Lipoproteins can induce complement activation resulting in opsonization and binding of these complexes to complement receptors. We investigated the binding of opsonized native LDL and acetylated LDL (acLDL) to the complement receptor 1 (CR1). Binding of complement factors C3b, IgM, C1q, mannose-binding lectin (MBL), and properdin to LDL and acLDL were investigated by ELISA. Subsequent binding of opsonized LDL and acLDL to CR1 on CR1-transfected Chinese Hamster Ovarian cells (CHO-CR1) was tested by flow cytometry. Both native LDL and acLDL induced complement activation with subsequent C3b opsonization upon incubation with normal human serum. Opsonized LDL and acLDL bound to CR1. Binding to CHO-CR1 was reduced by EDTA, whereas MgEGTA only reduced the binding of opsonized LDL, but not of acLDL suggesting involvement of the alternative pathway in the binding of acLDL to CR1. In vitro incubations showed that LDL bound C1q, whereas acLDL bound to C1q, IgM, and properdin. MBL did neither bind to LDL nor to acLDL. The relevance of these findings was demonstrated by the fact that ex vivo up-regulation of CR1 on leukocytes was accompanied by a concomitant increased binding of apolipoprotein B-containing lipoproteins to leukocytes without changes in LDL-receptor expression. In conclusion, CR1 is able to bind opsonized native LDL and acLDL. Binding of LDL to CR1 is mediated via the classical pathway, whereas binding of acLDL is mediated via both the classical and alternative pathways. Binding of lipoproteins to CR1 may be of clinical relevance due to the ubiquitous cellular distribution of CR1.

Automated screening for myelodysplastic syndromes through analysis of complete blood count and cell population data parameters.

The diagnosis of myelodysplastic syndromes (MDS) requires a high clinical index of suspicion to prompt bone marrow studies as well as subjective assessment of dysplastic morphology. We sought to determine if data collected by automated hematology analyzers during complete blood count (CBC) analysis might help to identify MDS in a routine clinical setting. We collected CBC parameters (including those for research use only and cell population data) and demographic information in a large (>5,000), unselected sequential cohort of outpatients. The cohort was divided into independent training and test groups to develop and validate a random forest classifier that identifies MDS. The classifier effectively identified MDS and had a receiver operating characteristic area under the curve (AUC) of 0.942. Platelet distribution width and the standard deviation of red blood cell distribution width were the most discriminating variables within the classifier. Additionally, a similar classifier was validated with an additional, independent set of >200 patients from a second institution with an AUC of 0.93. This retrospective study demonstrates the feasibility of identifying MDS in an unselected outpatient population using data routinely collected during CBC analysis with a classifier that has been validated using two independent data sets from different institutions.

Postprandial inflammation: targeting glucose and lipids.

Many risk factors have been identified as being responsible for the process of atherogenesis. Several of these risk factors are related to inflammation, which is an obligatory feature of the atherosclerotic plaque. Increasing evidence suggests that postprandial lipoproteins and glucose may be involved in the inflammatory process preceding the development of atherosclerosis. During the postprandial situation, remnants of chylomicrons and very low-density lipoproteins bind to circulating leukocytes and endothelial cells, leading to a state of acute activation with the expression of integrins on different cells, the generation of oxidative stress, production of cytokines and complement activation. Elevated plasma glucose levels may also induce leukocyte activation in humans. In addition, advanced glycation end products, formed during hyperglycemia, cause inflammation and endothelial damage. This chain of events results in a situation of acute inflammation causing endothelial dysfunction, which may be one of the earliest defects in atherogenesis. Interestingly, while this may occur several times each day after each meal, there is only limited information on the contribution of different nutrients on the postprandial inflammatory processes. In this review, we will focus on the available evidence and we will discuss the role of lifestyle and pharmaceutical interventions in modulating postprandial inflammation.

Trans-vessel gradient of myeloperoxidase in coronary artery disease.

BACKGROUND: Coronary artery disease (CAD) may reflect generalized inflammation. We evaluated leucocyte activation in subjects with and without CAD in different vascular compartments. MATERIALS AND METHODS: Patients were divided in two groups; subjects without CAD (controls; n = 25) and with stable CAD (n = 52) based on coronary angiography. After blood sampling from vessels, cardiovascular risk factors and leucocyte activation markers CD11b, CD66b and cytoplasmatic myeloperoxidase (MPO) were determined by flow cytometry. RESULTS: Myeloperoxidase (MPO) was higher in patients with CAD at all sites compared with controls (188 ± 7 vs. 210 ± 12 au for venous (P < 0.05), 178 ± 7 vs. 212 ± 12 au for femoral artery (P = 0.08), 166 ± 7 vs. 195 ± 12 au for abdominal artery (P < 0.05), 166 ± 6 vs. 189 ± 14 au for left coronary (P = 0.08) and 163 ± 6 vs. 193 ± 12 au for the right coronary artery (P < 0.05)). Other markers did not differ between the groups. A gradient of inflammation from peripheral vessels to the coronaries was found by differences in MPO in both groups; from 210 ± 12 au in the venous compartments towards 189 ± 14 and 193 ± 12 au, in the left and right coronaries, respectively, for the controls (P = 0.001), and from 188 ± 7 au in the venous compartment towards 166 ± 6 and 163 ± 6 au in the left and right coronaries, respectively, for the patients (P = 0.007). Other leucocyte activation markers did not show such a gradient. CONCLUSIONS: There is a generalized inflammatory neutrophil gradient for MPO from peripheral vessels towards the coronaries in both patients with CAD and controls. However, patients with CAD show a higher degree of inflammation, mostly in the coronaries. These data strengthen the role of activated neutrophils in CAD.

Exploring the value of apoB48 as a marker for atherosclerosis in clinical practice.

BACKGROUND: Postprandial accumulation of atherogenic remnants has been described in patients with type 2 diabetes mellitus (T2DM), familial combined hyperlipidaemia (FCH), familial hypercholesterolaemia (FH) and coronary artery disease (CAD). Scarce data are available on fasting plasma apolipoprotein (apo) B48 levels in relation to these conditions and atherosclerosis. DESIGN: Treated patients with FCH (18), FH (20), T2DM (26), CAD (65), T2DM with CAD (T2DM/CAD) (28) and 33 healthy controls were included. Intima-media thickness (IMT) measurements were carried out to investigate subclinical atherosclerosis. RESULTS: LDL-C and total apoB were lowest in patients with T2DM/CAD owing to the more frequent use of lipid-lowering medication. Fasting plasma apoB48 was elevated in patients with FCH (11·38 ± 1·50 mg/L) and T2DM/CAD (9·65 ± 1·14 mg/L) compared with the other groups (anova, P < 0·01). CAD patients (8·09 ± 0·57 mg/L) had higher apoB48 levels than controls (5·74 ± 0·55 mg/L) and FH patients (5·40 ± 0·51 mg/L) (P = 0·02). IMT was highest in subjects with T2DM/CAD (0·77 ± 0·03 mm) (P < 0·01). The lowest IMT was measured in controls (0·56 ± 0·02 mm) and FCH patients (0·60 ± 0·03 mm). In the total group, the best association for apoB48 was found with fasting triglyceride (Pearson's r = 0·72, P < 0·001). In the subjects not using statins (n = 74), the best correlation was found with IMT (r = 0·52; P < 0·001), whereas total apoB was not associated with IMT (r = 0·20, P = 0·12). CONCLUSIONS: ApoB48 concentrations are highest in patients with FCH and in atherosclerotic subjects with T2DM. In patients not using statins, the surrogate atherosclerosis marker IMT correlates best with apoB48, suggesting that fasting apoB48 may help to detect subjects at risk.

A new flow cytometric method for differential cell counting in ascitic fluid.

BACKGROUND: Cell counts in bodyfluids such as ascitic fluid can be difficult to perform and report rapidly. The current gold standard for cell counting in body fluids is a suitable automated cell counter or a manual counting chamber, combined with differential counting on a cytospin. This technique has several disadvantages, so we designed a new flow cytometric test for cell counting in ascites. We compared this with an automatic cell counter (LH750, Beckman Coulter) and manual counting of cytospins. METHODS: Ascitic samples (n = 53) from 38 patients were studied. Polymorphonuclear neutrophils (PMN), lymphocytes, eosinophils, and macrophages were defined by flow cytometry. We compared this with our reference method: the absolute cell concentration calculated from the leukocyte concentration of the LH750 combined with a differential cell count performed manually on a cytospin. RESULTS: The outcomes of validation experiments (linearity, reproducibility, and detection limit) of the flow cytometric assay prove it is well suited for cell counting in ascitic fluid. CONCLUSIONS: Based on analytical performance, flow cytometry is suited for cell counting in ascitic fluid. An ascitic fluid cell count is frequently ordered to detect spontaneous bacterial peritonitis (SBP). If the PMN count is ≥250 cells/mm3 , SBP is highly suspected. Using our reference method, we calculated the sensitivities and specificities to detect ≥250 PMN cells/mm3 for the LH750 (100% and 65%, respectively) and flow cytometric assay (100%, 100%). As flow cytometry is easier and faster we recommend this method for rapid cell counting in ascitic fluid. © 2014 International Clinical Cytometry Society.

Glucose-dependent leukocyte activation in patients with type 2 diabetes mellitus, familial combined hyperlipidemia and healthy controls.

BACKGROUND: Leukocyte activation has been associated with vascular complications in type 2 diabetes mellitus (T2DM). Hyperglycemia may be involved in this leukocyte activation. Our aim was to investigate the role of elevated glucose concentrations on leukocyte activation in patients with a wide range of insulin sensitivity. METHODS: Leukocyte activation was determined after ingestion of 75 gram glucose in subjects with T2DM, familial combined hyperlipidemia (FCH) and healthy controls. Leukocyte activation markers were measured by flow cytometry. Postprandial changes were calculated as the area under the curve (AUC), and the incremental area under the curve corrected for baseline values (dAUC). RESULTS: 51 Subjects (20 T2DM, 17 FCH and 14 controls) were included. Fasting neutrophil CD66b expression and CD66b-AUC were respectively 36% and 39% higher in T2DM patients than in controls (p=0.004 and p=0.003). Fasting neutrophil CD66b expression correlated positively with glucose-AUC (Spearman's rho 0.481, p<0.001) and HbA1c (rho 0.433, p=0.002). Although fasting monocyte CD11b expression was not significantly different between subjects, monocyte CD11b-AUC was 26% higher in T2DM than in controls (p=0.006). Similar trends were observed for FCH patients. Monocyte CD11b-dAUC correlated positively with glucose-AUC (rho 0.322, p=0.022) and HbA1c (rho 0.319, p=0.023). CONCLUSIONS: These data suggest that both acute and chronic hyperglycemia, associated with insulin resistance as seen in T2DM and FCH, are involved in the increased fasting and postprandial leukocyte activation observed in these conditions.

A new flow cytometric method for differential cell counting in ascitic fluid.

Background: Cell counts in bodyfluids such as ascitic fluid can be difficult to perform and report rapidly. The current gold standard for cell counting in body fluids is a suitable automated cell counter or a manual counting chamber, combined with differential counting on a cytospin. This technique has several disadvantages, so we designed a new flow cytometric test for cell counting in ascites. We compared this with an automatic cell counter (LH750, Beckman Coulter) and manual counting of cytospins. Methods: Ascitic samples (n=53) from 38 patients were studied. Polymorphonuclear neutrophils (PMN), lymphocytes, eosinophils, and macrophages were defined by flow cytometry. We compared this with our reference method: the absolute cell concentration calculated from the leukocyte concentration of the LH750 combined with a differential cell count performed manually on a cytospin. Results: The outcomes of validation experiments (linearity, reproducibility and detection limit) of the flow cytometric assay prove it is well suited for cell counting in ascitic fluid. Conclusions: Based on analytical performance, flow cytometry is suited for cell counting in ascitic fluid. An ascitic fluid cell count is frequently ordered to detect spontaneous bacterial peritonitis (SBP). If the PMN count is ≥ 250 cells/mm3 , SBP is highly suspected. Using our reference method, we calculated the sensitivities and specificities to detect ≥ 250 PMN cells/mm3 for the LH750 (100% and 65% respectively) and flow cytometric assay (100 %, 100 %). As flow cytometry is easier and faster we recommend this method for rapid cell counting in ascitic fluid. © 2014 Clinical Cytometry Society.

Systemic inflammation and lung function impairment in morbidly obese subjects with the metabolic syndrome.

BACKGROUND: Obesity and asthma are associated. There is a relationship between lung function impairment and the metabolic syndrome. Whether this relationship also exists in the morbidly obese patients is still unknown. Hypothesis. Low-grade systemic inflammation associated with the metabolic syndrome causes inflammation in the lungs and, hence, lung function impairment. METHODS: This is cross-sectional study of morbidly obese patients undergoing preoperative screening for bariatric surgery. Metabolic syndrome was assessed according to the revised NCEP-ATP III criteria. RESULTS: A total of 452 patients were included. Patients with the metabolic syndrome (n = 293) had significantly higher blood monocyte (mean 5.3 versus 4.9, P = 0.044) and eosinophil percentages (median 1.0 versus 0.8, P = 0.002), while the total leukocyte count did not differ between the groups. The FEV1/FVC ratio was significantly lower in patients with the metabolic syndrome (76.7% versus 78.2%, P = 0.032). Blood eosinophils were associated with FEV1/FVC ratio (adj. B -0.113, P = 0.018). CONCLUSION: Although the difference in FEV1/FVC ratio between the groups is relatively small, in this cross-sectional study, and its clinical relevance may be limited, these data indicate that the presence of the metabolic syndrome may influence lung function impairment, through the induction of relative eosinophilia.

Underdiagnosis and overdiagnosis of asthma in the morbidly obese.

BACKGROUND: The prevalence of obesity and asthma has increased concurrently over the last decades, suggesting a link between obesity and asthma. However, asthma might not be adequately diagnosed in this population. AIM: To investigate whether not only overdiagnosis but also underdiagnosis of asthma is present in an obese population. METHODS: Morbidly obese subjects with or without physician-diagnosed asthma were recruited from a pre-operative screening programme for bariatric surgery, and were characterized using an extensive diagnostic algorithm. RESULTS: 473 subjects were screened; 220 met inclusion criteria, and 86 agreed to participate. Among the 32 participating subjects who had a physician diagnosis of asthma, reversible airway obstruction and/or bronchial hyperresponsiveness could only be detected in 19 patients (59%, 95% CI [0.41-0.76]), whereas in 13 patients (41%, 95% CI [0.24-0.50]) the diagnosis of asthma could not be confirmed (overdiagnosis). In contrast, in the remaining 54 patients, 17 (31%, 95% CI [0.20-0.46]) were newly diagnosed with asthma (underdiagnosis). CONCLUSION: Besides overdiagnosis, there is also substantial underdiagnosis of asthma in the morbidly obese. Symptoms could be incorrectly ascribed to either obesity or asthma, and therefore also in the morbidly obese the diagnosis of asthma should also be based on pulmonary function testing.

Erythrocyte-bound apolipoprotein B in relation to atherosclerosis, serum lipids and ABO blood group.

INTRODUCTION: Erythrocytes carry apolipoprotein B on their membrane, but the determining factors of erythrocyte-bound apolipoprotein B (ery-apoB) are unknown. We aimed to explore the determinants of ery-apoB to gain more insight into potential mechanisms. METHODS: Subjects with and without CVD were included (N = 398). Ery-apoB was measured on fresh whole blood samples using flow cytometry. Subjects with ery-apoB levels ≤ 0.20 a.u. were considered deficient. Carotid intima media thickness (CIMT) was determined as a measure of (subclinical) atherosclerosis. RESULTS: Mean ery-apoB value was 23.2% lower in subjects with increased CIMT (0.80 ± 0.09 mm, N = 140) compared to subjects with a normal CIMT (0.57 ± 0.08 mm, N = 258) (P = 0.007, adjusted P<0.001). CIMT and ery-apoB were inversely correlated (Spearman's r: -0.116, P = 0.021). A total of 55 subjects (13.6%) were considered ery-apoB deficient, which was associated with a medical history of CVD (OR: 1.86, 95% CI 1.04-3.33; adjusted OR: 1.55; 95% CI 0.85-2.82). Discontinuation of statins in 54 subjects did not influence ery-apoB values despite a 58.4% increase in serum apolipoprotein B. Subjects with blood group O had significantly higher ery-apoB values (1.56 ± 0.94 a.u.) when compared to subjects with blood group A (0.89 ± 1.15 a.u), blood group B (0.73 ± 0.1.12 a.u.) or blood group AB (0.69 ± 0.69 a.u.) (P-ANOVA = 0.002). CONCLUSION: Absence or very low values of ery-apoB are associated with clinical and subclinical atherosclerosis. While serum apolipoprotein B is not associated with ery-apoB, the ABO blood group seems to be a significant determinant.