Identification of neutrophils and eosinophils in upper airway mucosa with immunofluorescence multiplex image cytometry.
Aris Ioannis GiotakisJozsef DudasRudolf GlueckertElias BuechelHerbert RiechelmannPublished in: Histochemistry and cell biology (2024)
Characterization of inflammation in chronic rhinosinusitis with (CRSwNP) and without nasal polyps (CRSsNP) is an ongoing research process. To overcome limitations of current cytologic techniques, we investigated whether immunofluorescence multiplex image cytometry could quantify intact neutrophils, eosinophils, and other immune cells in solid upper airway mucosa. We used a four-channel immunofluorescence-microscopy technique for the simultaneous detection of the leukocyte marker CD45, the neutrophil marker myeloperoxidase, two eosinophil markers, i.e., major basic protein and eosinophil peroxidase, and DAPI (4',6-diamidin-2-phenylindole), in formalin-fixed paraffin-embedded upper airway tissue samples of patients with CRSwNP and CRSsNP, as well as of patients free of CRS with inferior turbinate hypertrophy (controls). Image acquisition and analysis were performed with TissueFAXS and StrataQuest (TissueGnostics, Vienna, Austria), respectively. Positive and negative immunostaining were differentiated with a specific fluorescence signal/background signal ratio. Isotype controls were used as negative controls. In six controls, nine patients with CRSsNP, and 11 patients with CRSwNP, the median area scanned and median cell count per patient were 14.2 mm 2 and 34,356, respectively. In CRSwNP, the number of eosinophils was three times higher (23%) than that of neutrophils (7%). Three times more immune cells were encountered in CRSwNP (33%) compared to CRSsNP (11%). In controls, inflammation was balanced between the epithelial layer and lamina propria, in contrast to CRS (three times more pronounced inflammation in the lamina propria). The quantification of intact neutrophils, eosinophils, and other immune cells in solid tissue with undisrupted architecture seems feasible with immunofluorescence multiplex image cytometry.
Keyphrases
- chronic rhinosinusitis
- single cell
- deep learning
- high throughput
- oxidative stress
- real time pcr
- end stage renal disease
- magnetic resonance
- single molecule
- newly diagnosed
- chronic kidney disease
- ejection fraction
- prognostic factors
- case report
- hydrogen peroxide
- cell therapy
- computed tomography
- protein protein
- machine learning
- mesenchymal stem cells
- energy transfer
- nitric oxide
- bioinformatics analysis