Chapter title |
A Robust Phagocytosis Assay to Evaluate the Opsonic Activity of Antibodies against Plasmodium falciparum-Infected Erythrocytes.
|
---|---|
Chapter number | 12 |
Book title |
Malaria Vaccines
|
Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-2815-6_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2814-9, 978-1-4939-2815-6
|
Authors |
Teo, Andrew, Hasang, Wina, Boeuf, Philippe, Rogerson, Stephen, Andrew Teo, Wina Hasang, Philippe Boeuf, Stephen Rogerson |
Editors |
Ashley Vaughan |
Abstract |
Infection with Plasmodium falciparum parasites causes the majority of malaria-related morbidity and mortality. Constant exposure to the pathogen leads to the acquisition of antibodies and high levels of antibodies have been associated with clinical protection against malaria. A possible protective mechanism is the opsonization of parasites, or malaria-infected erythrocytes (IEs), for phagocytic clearance. Current assays use adherent or chemically differentiated THP-1 cells to evaluate opsonic antibodies in patients' samples, but these assays are often time consuming and damage the effector cells. We have developed a high throughput flow cytometry-based phagocytosis assay using undifferentiated THP-1 cells to quantify the opsonic activity against late stage P. falciparum-IEs. Opsonic antibodies bound to IEs promote their phagocytic uptake through Fcγ receptors found on THP-1 cells. Moreover, undifferentiated THP-1 cells do not express CD36, a surface scavenger receptor that promotes non-opsonic phagocytosis. This technical advance allows quantification of opsonic antibodies and is an important tool for the performance of large, population-based studies of malaria immunity, and to provide a significant increase in the statistical power for such studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 33% |
Student > Master | 2 | 11% |
Other | 1 | 6% |
Student > Bachelor | 1 | 6% |
Lecturer | 1 | 6% |
Other | 2 | 11% |
Unknown | 5 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 4 | 22% |
Agricultural and Biological Sciences | 3 | 17% |
Medicine and Dentistry | 3 | 17% |
Computer Science | 1 | 6% |
Economics, Econometrics and Finance | 1 | 6% |
Other | 1 | 6% |
Unknown | 5 | 28% |