Abstract
Background
Differentiation of idiopathic orbital inflammation (IOI) from non‐Hodgkin orbital lymphoma (NHOL) can be difficult in patients with a deep localization within the orbit. Available blood tests are not able to distinguish IOI from NHOL. Immuno‐phenotyping of peripheral blood of patients may aid in differentiating NHOL from IOI.
Purpose
To map the composition of common and rare myeloid and lymphoid populations in mononuclear cell fractions of peripheral blood of a cohort of IOI and NHOL patients.
Methods
To describe innate immune cells and adaptive immune cells in 13 IOI patients, 9 NHOL patients and 25 unaffected controls, we used four multi‐color flow‐cytometry panels that measure the expression levels of 31 protein markers, which allowed us to report more than 100 distinct immunophenotypes. Results of manual gating were validated by automatic gating using FlowSOM.
Results
Through the use of technical replicates, we verified that the immunophenotypes measured were highly reproducible. Both IOI and NHOL cases showed a decrease in several dendritic cell populations and an increase in plasmablasts, compared to controls. The proportion of monocytes was significantly increased in NHOL cases compared to cases with IOI. In more detail, classical CD14‐high (CD14++) monocytes were increased in NHOL patients and decreased in IOI patients. In addition, in NHOL patients, B cells showed decreased expression for the B cell differentiation marker CD24. These results were confirmed in unsupervised clustering by FlowSOM.
Conclusion
Immune‐profiling of peripheral blood may aid in differentiating orbital disease.
Differentiation of idiopathic orbital inflammation (IOI) from non‐Hodgkin orbital lymphoma (NHOL) can be difficult in patients with a deep localization within the orbit. Available blood tests are not able to distinguish IOI from NHOL. Immuno‐phenotyping of peripheral blood of patients may aid in differentiating NHOL from IOI.
Purpose
To map the composition of common and rare myeloid and lymphoid populations in mononuclear cell fractions of peripheral blood of a cohort of IOI and NHOL patients.
Methods
To describe innate immune cells and adaptive immune cells in 13 IOI patients, 9 NHOL patients and 25 unaffected controls, we used four multi‐color flow‐cytometry panels that measure the expression levels of 31 protein markers, which allowed us to report more than 100 distinct immunophenotypes. Results of manual gating were validated by automatic gating using FlowSOM.
Results
Through the use of technical replicates, we verified that the immunophenotypes measured were highly reproducible. Both IOI and NHOL cases showed a decrease in several dendritic cell populations and an increase in plasmablasts, compared to controls. The proportion of monocytes was significantly increased in NHOL cases compared to cases with IOI. In more detail, classical CD14‐high (CD14++) monocytes were increased in NHOL patients and decreased in IOI patients. In addition, in NHOL patients, B cells showed decreased expression for the B cell differentiation marker CD24. These results were confirmed in unsupervised clustering by FlowSOM.
Conclusion
Immune‐profiling of peripheral blood may aid in differentiating orbital disease.
Original language | English |
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Pages (from-to) | 28-28 |
Journal | Acta Ophthalmologica |
Volume | 97 |
Issue number | S262 |
Publication status | Published - Mar 2019 |