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. 2020 Jun 4:11:1006.
doi: 10.3389/fimmu.2020.01006. eCollection 2020.

Small Paroxysmal Nocturnal Hemoglobinuria Clones in Autoimmune Hemolytic Anemia: Clinical Implications and Different Cytokine Patterns in Positive and Negative Patients

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Small Paroxysmal Nocturnal Hemoglobinuria Clones in Autoimmune Hemolytic Anemia: Clinical Implications and Different Cytokine Patterns in Positive and Negative Patients

Bruno Fattizzo et al. Front Immunol. .

Abstract

Autoimmune hemolytic anemia (AIHA) is characterized by immune mediated erythrocytes destruction by autoantibodies with or without complement activation. Additional pathologic mechanisms include cellular cytotoxicity, cytokline dysregulation, and inadequate bone marrow compensation with fibrosis/dyserythropoiesis. The latter resembles that of bone marrow failures, namely aplastic anemia and myelodysplastic syndromes. Paroxysmal nocturnal hemoglobinuria (PNH) clones are increasingly recognized in bone marrow failure syndromes, and their selection and expansion are thought to be mediated by immune mechanisms. In this study, we aimed to evaluate the prevalence of PNH clones in 99 patients with primary AIHA, and their correlations with disease features and outcomes. Moreover, in the attempt to disclose the physiopathology of PNH positivity in AIHA, serum levels of several immunomodulatory cytokines were tested. A PNH clone was found in 37 AIHA patients (37,4%), with a median size of 0.2% on granulocytes (range 0.03-85). Two patients showed a large clone (16 and 85%) and were therefore considered as AIHA/PNH association and not included in further analysis. Compared to PNH negative, PNH positive cases displayed a higher hemolytic pattern with adequate bone marrow compensation. AIHA type, response to therapy, complications and outcome were comparable between the two groups. Regarding cytokine levels, IFN-γ and IL-17 were lower in PNH positive vs. PNH negative AIHAs (0.3 ± 0.2 vs. 1.33 ± 2.5; 0.15 ± 0.3 vs. 3,7 ± 9.1, respectively, p = 0.07 for both). In PNH positive AIHAs, IFN-γ positively correlated with reticulocytes (r = 0.52, p = 0.01) and with the bone marrow responsiveness index (r = 0.69, p = 0.002). Conversely, IL-6 and IL-10 showed the same pattern in PNH positive and PNH negative AIHAs. IL-6 levels and TGF-β positively correlated with clone size (r = 0.35, p = 0.007, and r = 0.38, p = 0.05, respectively), as well as with LDH values (r = 0.69, p = 0.0003, and r = 0.34, p = 0.07, respectively). These data suggest testing PNH clones in AIHA since their prevalence is not negligible, and may correlate with a prominent hemolytic pattern, a higher thrombotic risk, and a different therapy indication. PNH testing is particularly advisable in complex cases with inadequate response to AIHA-specific therapy. Cytokine patterns of PNH positive and negative AIHAs may give hints about the pathogenesis of highly hemolytic AIHA.

Keywords: cold agglutinin disease; cytokines; paroxysmal nocturnal hemoglobinuria; rituximab; warm autoimmune hemolytic anemia.

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Figures

Figure 1
Figure 1
Clinical course of two patients (A,B) with PNH/AIHA association and a clone size>10%. Hb, continuous line; LDH, dotted line; gray area, prednisone therapy; arrows, rituximab 375 mg/sm/week for 4 weeks; LMWH, low molecular weight heparin; thrombosis, DVT, deep venous thrombosis; PE, pulmonary embolism; cross indicates death.
Figure 2
Figure 2
cytokine levels in PNH positive and PNH negative AIHA patients, in age and sex matched controls (N = 40), and in a cohort of classic hemolytic PNH cases (N = 28). IFN-γ and IL-17 levels were lower in PNH positive versus PNH negative AIHA (p = 0.07 for both). No significant p values were obtained. TNF-α and TGF-β levels are not shown into the figure; their values were (mean ± SD): TNF-α 0.2 ± 0.2 pg/mL in PNH+AIHA, 0.2 ± 0.1 pg/mL in PNH-AIHA, 0.23 ± 0.29 pg/mL in classic PNH, and 1.3 ± 0.9 pg/mL in healthy controls. TGF-β 3,249 ± 1,570 pg/mL in PNH+AIHA, 3,295 ± 1,697 pg/mL in PNH-AIHA, 21,010 ± 602 pg/mL in classic PNH, and 3,160 ± 1,884 pg/mL in healthy controls. *represent outlier values.

References

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