Representation of Lymphocytes in Sinonasal Tissue of Chronic Rhinosinusitis Patients

Indrawati, Luh Putu Lusy; Fatimah, Vita Arfiana Nurul; Sianipar, O

doi:10.18502/kls.v4i11.3857

Cited by 1 publication

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“…The antibodies used in the present study are shown in Table 1 together with the clone and source of provenance, the dilution used, as well as the mode of removal and the tissue used for the positive external control. For the semi-quantitative assessment of analyzed markers, we used an adapted scoring system based on literature data [14][15][16][17][18][19][20], which followed the evaluation of immunolabeled cells number. The reactions were quantified as follows:…”

Section:  Materials and Methodsmentioning

confidence: 99%

Involvement of inflammatory cells in chronic rhinosinusitis with nasal polyps

Enache

Ioniță

Anghelina³

et al. 2021

Rom J Morphol Embryol

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Inflammation plays an important role in the pathogenesis of nasal polyps. Understanding the biomolecular action mechanisms of inflammatory elements can contribute to improving the prognosis of these lesions. The study analyzed the distribution and immunohistochemically quantified eosinophils [eosinophil major basic protein (BMK-13)], lymphocytes [cluster of differentiation (CD) 4, CD8, CD20] and plasmocytes (CD138) in both the epithelial and stromal compartment in relation to composite scores, which included specific histopathological parameters for 50 sinonasal polyps. Inflammatory elements predominated at stromal level, the high histological composite scores being frequently associated with increased expression of inflammatory elements. Also, the numerical distribution of inflammatory elements indicated positive linear relations within the groups BMK-13/CD8 and CD4/CD20/CD138, and a negative linear relation between the two groups. This aspect can support the existence of alternative or sequential pathogenic mechanisms involved in the pathogenesis of sinonasal polyps, and the results obtained can be used for a better stratification of patients in order to optimize the therapy.

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