Enhancing HLA-B27 antigen detection: Leveraging machine learning algorithms for flow cytometric analysis.

As the association of human leukocyte antigen B27 (HLA-B27) with spondylarthropathies is widely known, HLA-B27 antigen expression is frequently identified using flow cytometric or other techniques. Because of the possibility of cross-reaction with off target antigens, such as HLA-B7, each flow cytometric technique applies a "gray zone" reserved for equivocal findings. Our aim was to use machine learning (ML) methods to classify such equivocal data as positive or negative. Equivocal samples (n = 99) were selected from samples submitted to our institution for clinical evaluation by HLA-B27 antigen testing. Samples were analyzed by flow cytometry and polymerase chain reaction. Features of histograms generated by flow cytometry were used to train and validate ML methods for classification as logistic regression (LR), decision tree (DT), random forest (RF) and light gradient boost method (GBM). All evaluated ML algorithms performed well, with high accuracy, sensitivity, specificity, as well as negative and positive predictive values. Although, gradient boost approaches are proposed as high performance methods; nevertheless, their effectiveness may be lower for smaller sample sizes. On our relatively smaller sample set, the random forest algorithm performed best (AUC: 0.92), but there was no statistically significant difference between the ML algorithms used. AUC values for light GBM, DT, and LR were 0.88, 0.89, 0.89, respectively. Implementing these algorithms into the process of HLA-B27 testing can reduce the number of uncertain, false negative or false positive cases, especially in laboratories where no genetic testing is available.

Gender-dependent frequency of unconventional T cells in a healthy adult Caucasian population: A combinational study of invariant NKT cells, γδ T cells, and mucosa-associated invariant T cells.

This study tested the hypothesis of gender bias in frequency of unconventional T cells. Unconventional T cells exist as minor subsets of T cells in peripheral blood. Despite their low number, they play a crucial role in various immune-mediated diseases such as inflammation, autoimmunity, allergy, and cancer. Gender-based frequency of these cells altogether on large number of healthy individuals are unestablished creating hurdles to manifest association with various immune-mediated pathologic conditions. In this study, we used a multicolor flow cytometric panel to identify iNKT cells, γδ T cells, and MAIT cells altogether in the peripheral blood samples of 93 healthy adult males and 109 healthy adult females from the Caucasian population. The results revealed iNKT cell median value (% T cells) in females was higher: 0.114% ranging from 0.011 to 3.84%, than males: 0.076% (p value 0.0292), ranging from 0.007 to 0.816% and found to be negatively correlated with age in females (p value 0.0047). However, γδ T cell median value in males was higher: 2.52% ranging from 0.31 to 16.09%, than females: 1.79% (p value 0.0155), ranging from 0.078 to 12.49% and each gender was negatively correlated with age (male p value 0.0003 and female p value 0.0007). MAIT cell median values were 3.04% ranging from 0.11 to 10.75% in males and 2.67% ranging from 0.2 to 18.36% in females. MAIT cells did not show any statistically significant difference between genders and found to be negatively correlated with age (p value < 0.0001). Our results could be used for further gender-wise investigations of various pathologic conditions such as cancer and their prognosis, autoimmune diseases, allergies, and their pathogenicity.

Comparative Evaluation of Body Fluid Analysis by Sysmex XN Hematology Analyzers, CellaVision, Manual Microscopy and Multicolor Flow Cytometry.

OBJECTIVE: The aim of this study was to investigate the correlation between instrumental and morphological cell differential methods in body fluid (BF) samples. METHODS: Forty ascitic (AF) and forty cerebrospinal (CSF) fluid samples were measured with Sysmex XN1000 and XN2000 instruments in BF mode. Flow cytometry (FC) was carried out with FACS Canto II. From the centrifuged cytospin preparations mononuclear (MN%) and polymorphonuclear (PMN%) cell percentages were determined using optical microscopy (OM) and a digital cell morphology system CellaVision (CV). RESULTS: Both Passing-Bablok and Bland-Altman analysis showed strong correlation between the hematology analyzers for total cell count (TC), white blood cell count (WBC), MN%, and PMN% in BFs. With slightly inferior results, all other WBC differential methods showed acceptable correlation. Passing-Bablok regression analysis yielded a slope encompassing 1.0 in all method comparisons except for three scenarios in CSF. The bias calculated with Bland-Altman plots was comprised between -6.05% and 6.05%. Strong correlations were found when comparing XN1000, XN2000, and CV to OM and FC method with linear regression analysis (r values between 0.905 and 0.984). CONCLUSION: We found strong correlation between instrumental and manual morphological WBC differential methods when testing BF samples containing no tumor cells.

Age-dependent frequency of unconventional T cells in a healthy adult Caucasian population: a combinational study of invariant natural killer T cells, γδ T cells, and mucosa-associated invariant T cells.

Unconventional T cells show distinct and unique features during antigen recognition as well as other immune responses. Their decrease in frequency is associated with various autoimmune disorders, allergy, inflammation, and cancer. The landscape frequency of the unconventional T cells altogether (iNKT, γδ T, and MAIT) is largely unestablished leading to various challenges affecting diagnosis and research in this field. In this study, we have established the age group-wise frequency of iNKT, γδ T, and MAIT cells altogether on a total of 203 healthy adult samples of the Caucasian population. The results revealed that iNKT cells were 0.095%, γδ T cells were 2.175%, and MAIT cells were 2.99% of the total T cell population. γδ and MAIT cell frequency is higher in younger age groups than elderly; however, there is no statistically significant difference in the frequency of iNKT cells. Furthermore, γδ and MAIT cells were negatively correlating with age, supporting immunosenescence, unlike iNKT cells. Our finding could be used for further age-wise investigation of various pathological conditions such as cancer and their prognosis, autoimmune diseases and their pathogenicity.

Combined use of different antibody clones improves the efficiency of human leukocyte antigen B27 detection by flow cytometry.

BACKGROUND: Human leukocyte antigen B27 (HLA-B27) is an major histocompatibility complex Class I cell surface antigen that shows strong association with spondylarthropathies. Although polymerase chain reaction (PCR) is the gold standard method for HLA-B27 detection, monoclonal antibodies, and flow cytometric analysis is also frequently used. We aimed to compare the efficiency of two commercially available monoclonal antibody clones and the DuraClone kit that uses simultaneously these clones. METHODS: Blood samples drawn from 63 patients were analyzed by flow cytometry and PCR. For flow cytometry analysis ABCm3 and FD705 clones were used for flow cytometry as well as the DuraClone Reagent Kit. Results of flow cytometric analysis were confirmed by PCR. RESULTS: Numbers of false-positive and equivocal samples were high when ABCm3 or FD705 clones were used separately: 34 out of 63 and 27 out of 63, respectively. Simultaneous use of the two antibody clones and pre-selection of CD3+ T cells, in the DuraClone kit, significantly decreased the number of these samples. Using the DuraClone kit, only 11 out of 63 samples were inconclusive. Influence of HLA-B7 expression was detectable in some cases when ABCm3 and FD705 were used separately. CONCLUSIONS: Our results show that simultaneous use of HLA-B27 monoclonal antibodies and pre-selection of T cells significantly increased the specificity of the flow cytometric assay, however it did not reach the specificity of PCR. Nevertheless, based on our results, performing the PCR test exclusively in equivocal cases by DuraClone kit reduces the burden of PCR assays and the turn-around time.

Evaluation of Sample Quality As Preanalytical Error in Flow Cytometry Analysis in Childhood Acute Lymphoblastic Leukemia.

INTRODUCTION: Acute lymphoblastic leukemia (ALL) is the most common cancer among children. The intensity of chemotherapy and further therapeutic decisions depend on several prognostic factors, including response to initial treatment by examining peripheral blood (PB), bone marrow (BM) and cerebrospinal fluid (CSF) samples at certain time points. (e.g. day 15 BM). Sample quality is crucial for the correct risk assessment. PATIENTS AND METHODS: We aimed to explore the rate of inadequate samples as a source of preanalytical error. We retrospectively analyzed flow cytometry results of BM (day 15 and day 33) and CSF samples from children with ALL in different cohorts focusing on PB contamination and viable cell ratio among nucleated cells. We also compared viable cell percentages in native and stabilized CSF samples. RESULTS: Due to PB contamination (erythroid precursors < 2%) 12.5% of day 15 and 14% of day 33 BM samples were inadequate for flow cytometry risk stratification. Significantly fewer CSF samples had to be considered inadequate for analysis (defined as viable cells < 30%) in the subgroup of stabilized samples compared to native samples. Four of the CSF samples from children with ALL had identifiable malignant cell population despite the low viable cell percentage. DISCUSSION: Poor sample quality can hamper risk stratification and further therapeutic decision in childhood ALL. Despite low viable cell count malignant cell populations may still be identified in a CSF sample, therefore establishing a certain cutoff point for viable cells is difficult.

The impact of delayed sample handling and type of anticoagulant on the interpretation of dysplastic signs detected by flow cytometry.

INTRODUCTION: A growing body of evidence supports the usefulness of dysplastic signs detected by flow cytometry in the diagnosis of myelodysplastic syndromes (MDS). Our aim was to assess the impact of pre-analytical variables (delayed sample handling, type of anticoagulant, and different clones of antibody) in the interpretation of flow cytometric results. MATERIAL AND METHODS: Bone marrow samples were labelled and analysed immediately after aspiration and on two consecutive days. The effect of anticoagulant type was evaluated in 16 bone marrow samples. Thirty-seven different immunophenotypic variables were recorded after eight-colour staining. Furthermore, 8 normal peripheral blood samples collected in K3-EDTA and Na-heparin were examined with different clones of CD11b antibodies and four parameters were recorded with both anticoagulants on two consecutive days. RESULTS: Fourteen significant differences were detected in the initial immunophenotype of fresh samples collected in K3-EDTA and Na-heparin. Regardless of the anticoagulant type, eleven parameters remained stable despite delayed sample handling. Due to delayed sample processing, more alterations were detected in the samples collected in K3-EDTA than in the samples collected in Na-heparin. The type of CD11b clone influenced the reduction of fluorescence intensity only in samples collected in K3-EDTA, where the alterations were contrary to the changes observed in Na-heparin. CONCLUSIONS: Delayed sample processing causes considerable immunohenotypic alterations, which can lead to false interpretation of the results. If delayed sample evaluation is unavoidable, markers that remain more stable over time should be considered with more weight in the diagnosis of MDS.