Targeted DNA Methylation Analysis Facilitates Leukocyte Counts in Dried Blood Samples.

BACKGROUND: Cell-type specific DNA methylation (DNAm) can be employed to determine the numbers of leukocyte subsets in blood. In contrast to conventional methods for leukocyte counts, which are based on cellular morphology or surface marker protein expression, the cellular deconvolution based on DNAm levels is applicable for frozen or dried blood. Here, we further enhanced targeted DNAm assays for leukocyte counts in clinical application. METHODS: DNAm profiles of 40 different studies were compiled to identify CG dinucleotides (CpGs) with cell-type specific DNAm using a computational framework, CimpleG. DNAm levels at these CpGs were then measured with digital droplet PCR in venous blood from 160 healthy donors and 150 patients with various hematological disorders. Deconvolution was further validated with venous blood (n = 75) and capillary blood (n = 31) that was dried on Whatman paper or on Mitra microsampling devices. RESULTS: In venous blood, automated cell counting or flow cytometry correlated well with epigenetic estimates of relative leukocyte counts for granulocytes (r = 0.95), lymphocytes (r = 0.97), monocytes (r = 0.82), CD4 T cells (r = 0.84), CD8 T cells (r = 0.94), B cells (r = 0.96), and NK cells (r = 0.72). Similar correlations and precisions were achieved for dried blood samples. Spike-in with a reference plasmid enabled accurate epigenetic estimation of absolute leukocyte counts from dried blood samples, correlating with conventional venous (r = 0.86) and capillary (r = 0.80) blood measurements. CONCLUSIONS: The advanced selection of cell-type specific CpGs and utilization of digital droplet PCR analysis provided accurate epigenetic blood counts. Analysis of dried blood facilitates self-sampling with a finger prick, thereby enabling easier accessibility to testing.

Toward Clinical Application of Leukocyte Counts Based on Targeted DNA Methylation Analysis.

BACKGROUND: Differential leukocyte counts are usually measured based on cellular morphology or surface marker expression. It has recently been shown that leukocyte counts can also be determined by cell-type-specific DNA methylation (DNAm). Such epigenetic leukocyte counting is applicable to small blood volumes and even frozen material, but for clinical translation, the method needs to be further refined and validated. METHODS: We further optimized and validated targeted DNAm assays for leukocyte deconvolution using 332 venous and 122 capillary blood samples from healthy donors. In addition, we tested 36 samples from ring trials and venous blood from 266 patients diagnosed with different hematological diseases. Deconvolution of cell types was determined with various models using DNAm values obtained by pyrosequencing or digital droplet PCR (ddPCR). RESULTS: Relative leukocyte quantification correlated with conventional blood counts for granulocytes, lymphocytes, B cells, T cells (CD4 or CD8), natural killer cells, and monocytes with pyrosequencing (r = 0.84; r = 0.82; r = 0.58; r = 0.50; r = 0.70; r = 0.61; and r = 0.59, respectively) and ddPCR measurements (r = 0.65; r = 0.79; r = 0.56; r = 0.57; r = 0.75; r = 0.49; and r = 0.46, respectively). In some patients, particularly with hematopoietic malignancies, we observed outliers in epigenetic leukocyte counts, which could be discerned if relative proportions of leukocyte subsets did not sum up to 100%. Furthermore, absolute quantification was obtained by spiking blood samples with a reference plasmid of known copy number. CONCLUSIONS: Targeted DNAm analysis by pyrosequencing or ddPCR is a valid alternative to quantify leukocyte subsets, but some assays require further optimization.

Selective ABO immunoadsorption in hematopoietic stem cell transplantation with major ABO incompatibility.

OBJECTIVE: ABO mismatch between donor and recipient occurs in 40% of allogeneic hematopoietic stem cell transplantations (HCT). Different strategies have been described to reduce isohemagglutinins (IHA) before HCT. We describe the effect of selective ABO immunoadsorption (ABO IA) on erythrocyte transfusion rate and the development of post-transplant pure red cell aplasia (ptPRCA). METHODS: 63 patients with major ABO incompatibility were retrospectively analyzed. Nine patients with major ABO incompatibility and high-IHA titer were treated by ABO IA before HCT. We analyzed the need for transfusion and the occurrence of ptPRCA. We compared the outcome with patients treated by other methods to reduce IHA. RESULTS: In all nine patients treated by ABO IA, IHA decreased in a median four times. PtPRCA occurred in one patient. The median number of transfusions was 8 (range: 0-36) between d0 and d100. In 25 patients with high-IHA titer without treatment or treated by other methods to reduce IHA, the need for transfusions was comparable. No difference in the incidence of ptPRCA was observed. CONCLUSIONS: Selective ABO IA is a feasible, safe, and effective method to reduce IHA before HCT in major ABO incompatibility. No effect on transfusion rate or ptPRCA compared to other strategies could be observed.

Blood donor screening for West Nile virus (WNV) revealed acute Usutu virus (USUV) infection, Germany, September 2016.

Between 1 June and 31 December 2016, 13,023 blood donations from the University Hospital Aachen in Germany were routinely screened for West Nile virus (WNV) RNA using the cobas TaqScreen WNV Test. On 28 September 2016, one blood donor was tested positive. Subsequent analysis revealed an acute Usutu virus (USUV) infection. During the ongoing USUV epizootics in Germany, blood transfusion services, public health authorities and clinicians should be aware of increased human USUV infections.

The Unfolded Protein Response Is a Major Driver of LCN2 Expression in BCR-ABL- and JAK2V617F-Positive MPN.

Lipocalin 2 (LCN2), a proinflammatory mediator, is involved in the pathogenesis of myeloproliferative neoplasms (MPN). Here, we investigated the molecular mechanisms of LCN2 overexpression in MPN. LCN2 mRNA expression was 20-fold upregulated in peripheral blood (PB) mononuclear cells of chronic myeloid leukemia (CML) and myelofibrosis (MF) patients vs. healthy controls. In addition, LCN2 serum levels were significantly increased in polycythemia vera (PV) and MF and positively correlated with JAK2V617F and mutated CALR allele burden and neutrophil counts. Mechanistically, we identified endoplasmic reticulum (ER) stress and the unfolded protein response (UPR) as a main driver of LCN2 expression in BCR-ABL- and JAK2V617F-positive 32D cells. The UPR inducer thapsigargin increased LCN2 expression >100-fold, and this was not affected by kinase inhibition of BCR-ABL or JAK2V617F. Interestingly, inhibition of the UPR regulators inositol-requiring enzyme 1 (IRE1) and c-Jun N-terminal kinase (JNK) significantly reduced thapsigargin-induced LCN2 RNA and protein expression, and luciferase promoter assays identified nuclear factor kappa B (NF-κB) and CCAAT binding protein (C/EBP) as critical regulators of mLCN2 transcription. In conclusion, the IRE1-JNK-NF-κB-C/EBP axis is a major driver of LCN2 expression in MPN, and targeting UPR and LCN2 may represent a promising novel therapeutic approach in MPN.

Effect of propofol on adhesion of activated platelets to leukocytes in human whole blood.

OBJECTIVE: To investigate the effect of propofol and its solvent Intralipid on the adhesion of activated platelets to leukocytes in vitro. DESIGN AND SETTING: Prospective study in an experimental laboratory. PARTICIPANTS: Sixteen healthy volunteers. INTERVENTIONS: Whole blood was incubated for 60 min with propofol (4, 40 micro g/ml), an equal volume of Intralipid 10% or phosphate-buffered saline (PBS). After stimulation with adenosine-5-diphosphate (ADP) platelet-leukocyte adhesion and platelet surface expression of P-selectin, GPIb and fibrinogen-binding to platelets were evaluated by flow cytometry. MEASUREMENTS AND RESULTS: The 4 micro g/ml concentration of propofol did not alter binding of platelets to leukocytes, expression of P-selectin, GPIb and fibrinogen binding to platelets. The 40 micro g/ml concentration of propofol reduced spontaneous and ADP-induced formation of platelet-neutrophil conjugates compared with PBS and the equal volume of Intralipid. In addition, binding of ADP-activated platelets to monocytes were also inhibited by 40 micro g/ml propofol. Following incubation with propofol, platelets showed reduced binding of fibrinogen in the unstimulated and ADP-stimulated blood samples as well as a lower percentage of platelets with bound fibrinogen. Effects dependent on the solvent Intralipid were enhanced adhesion of platelets to monocytes in comparison with propofol (40 micro g/ml) and PBS. CONCLUSION: In clinically used concentrations, propofol does not alter the adhesion of platelets to leukocytes in vitro. At ten-fold anesthetic concentration propofol reduced the formation of platelet-neutrophil and platelet-monocyte conjugates. We suggest that this effect is due to an inhibition of fibrinogen-binding to platelets by propofol. These effects were all independent of the propofol carrier Intralipid.

Rapid and reliable genotyping for the Toll-like receptor 4 A896G polymorphism using fluorescence-labeled hybridization probes in a real-time polymerase chain reaction assay.

BACKGROUND: The Toll-like receptor 4 (TLR4) is involved in immune response to endotoxin as well as the pathogenesis of atherosclerosis. The TLR4 gene was shown to carry a single-nucleotide polymorphism (A896G). We developed a rapid-cycle polymerase chain reaction (PCR) which allows for rapid genotyping and, therefore, may be useful in clinical risk assessment. METHODS: Fluorescently labeled oligonucleotide hybridization probes were designed for the LightCycler instrument. A PCR product was generated in a single reaction followed by melting point analysis. Ninety-three German Caucasians were genotyped. The interleukin-1beta (IL-1beta) response to endotoxin was assessed after whole blood stimulation with endotoxin according to TLR4 genotypes. RESULTS: The method suggested by us is a time-saving technique requiring no additional manual steps. Frequencies of the A and G allele were 0.95 and 0.05, respectively. The study population was in Hardy-Weinberg equilibrium. The specificity of the method was confirmed by sequencing. The IL-1beta levels were lower in carriers of the G allele. CONCLUSIONS: This PCR assay is a rapid and reliable technique for TLR4 genotyping.