Triandrin

28484455

Understanding molecular interactions on immune cells is crucial for drug development to treat cancer and autoimmune diseases. When characterizing molecular interactions, the use of a relevant living model system is important, as processes such as receptor oligomerization and clustering can influence binding patterns. We developed a protocol to enable time-resolved analysis of ligand binding to receptors on living suspension cells. Different suspension cell lines and weakly adhering cells were tethered to Petri dishes with the help of a biomolecular anchor molecule, and antibody binding was analyzed using LigandTracer. The protocol and assay described in this report were used to characterize interactions involving eight cell lines. Experiments were successfully conducted in three different laboratories, demonstrating the robustness of the protocol. For various antibodies, affinities and kinetic rate constants were obtained for binding to CD20 on both Daudi and Ramos B-cells, the T-cell co-receptor CD3 on Jurkat cells, and the Fcγ receptor CD32 on transfected HEK293 cells, respectively. Analyzing the binding of Rituximab to B-cells resulted in an affinity of 0.7-0.9 nM, which is similar to values reported previously for living B-cells. However, we observed a heterogeneous behavior for Rituximab interacting with B-cells, which to our knowledge has not been described previously. The understanding of complex interactions will be facilitated with the possibility to characterize binding processes in real-time on living immune cells. This provides the chance to broaden the understanding of how binding kinetics relate to biological function.

affinity, kinetics, therapeutic antibody, B-cells, T-cells, CD20, Fcγ receptor

Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells

Sina Bondza,1,2,* Eleanor Foy,3 Jonathan Brooks,4 Karl Andersson,1,2 James Robinson,3 Pascale Richalet,5 and Jos Buijs1,2

2017;

26770642

This study aimed to investigate the methods, effects, and application value of a combination of CO2 laser-assisted uvulopalatopharyngoplasty (UPPP) and selective nasal cavity expansion for the treatment of multiplanar narrowing-induced obstructive sleep apnea hypopnea syndrome (OSAHS). Ninety-three patients with OSAHS and multiplanar stenosis were treated with CO2 laser-assisted modified UPPP and selective surgical expansion of the nasal cavity, with 12 completing the operation in stages. Six months after the operation, 23 patients (24.7%) were effectively cured, 52 (55.9%) had excellent efficacy, and 18 (19.4%) were cured, and the total efficacy was 100%. One year after the surgery, the surgical outcomes of 65 patients were reviewed, and the surgeries were ineffective in four (6.2%), effective in 14 (21.5%), very effective in 36 (55.4%), and curative in 11 (16.9%), and the total efficacy was 93.8%. Another 93 cases were treated with the traditional UPPP method only. At the six-month postoperative review, 18 (19.4%) were effectively cured, 30 (32.3%) had excellent efficacy, and 10 (10.8%) were cured, while the surgery was ineffective in 35 (37.6%). The total efficacy was 62.4%. One year after the surgery, the surgical outcomes of 75 patients were reviewed, and the surgeries were ineffective in 29 (38.7%), effective in 14 (18.7%), very effective in 24 (32.0%), and curative in eight (10.7%), and the total efficacy was 61.3%. Compared to the traditional operative methods, the treatment with one operation involving CO2-laser-assisted UPPP and selective nasal cavity expansion was thoroughly effective on multiple stenosis sites, including nasal, nasopharyngeal, and oropharyngeal airways. However, potential complications must be carefully avoided.

Obstructive sleep apnea hypopnea syndrome, modified uvulopalatopharyngoplasty, selective expansion of the nasal cavity

Combination of CO2 laser-assisted uvulopalatopharyngoplasty and nasal cavity expansion enhances treatment of obstructive sleep apnea-hypopnea syndrome

De Huai, Jun Dai, Min Xu, Ying Cao, Hongmao Song, Shoufeng Wang, Haixu Wang, Min Yin, Lei Cheng, Yalong Zhang, Xiaojian Zhou, Jianwu Wang

2015;