Related Experiment Video
Updated: Feb 8, 2026

Use of a Monocyte Monolayer Assay to Evaluate Fcγ Receptor-mediated Phagocytosis
Published on: January 2, 2017
Fcγ-RI, Fcγ-RII and IL-10 as predictive biomarkers for post-therapeutic cicatrization time in monocytes from
M L Rodrigues-Alves1,2, O A O Melo-Júnior1, J G Coelho-Dos-Reis2
1Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Abstract:
Cutaneous leishmaniasis (CL) treatment is based on therapy with Glucantime® , yet, there are few laboratory methods to monitor its success. In this study, ex vivo and in vitro evaluations of peripheral blood monocytes were performed in a longitudinal study to characterize the impact of Glucantime® on overall phenotypic/functional features of these cells from CL patients to identify predictive biomarkers for post-therapeutic monitoring by flow cytometry. The ex vivo evaluation from CL patients demonstrated a modulatory profile before treatment, with a decrease in TLR-2, FcγRII, HLA-DR, CD86, IFN-γR, TNF, IL-12, NO, and an increase in FcγRIII and IL-10R. Conversely, treatment changes some of these biomarker expressions by decreasing FcγRIII and IL-10R and increasing IFN-γR, IL-12 and NO. Moreover, an in vitro analysis of these patients showed a reduced phagocytic capacity of Leishmania braziliensis and higher levels of IL-10 and TGF-β modulating functional profile. Regardless of the compromised L. braziliensis phagocytic capacity, treatment re-established the production of IL-12, IL-10, TGF-β and NO at the basal level. Notably, monocytes from patients with early cicatrization showed enhanced FcγRI and FcγRII expressions and reduced IL-10, which was further corroborated by a baseline fold change analysis. Finally, the logistic regression model emphasized the performance of FcγRI, FcγRII and IL-10 as robust predictive biomarkers for post-therapeutic cicatrization during cutaneous leishmaniasis.
Related Concept Videos
Predicting Molecular Geometry
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Therapeutic Index
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Therapeutic Communication
Verbal communication depends on language or a prescribed way of using words so that people can share information effectively. The critical aspects of verbal...

