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X Demographics
Mendeley readers
| Title |
Study roadmap for high-throughput development of easy to use and affordable biomarkers as diagnostics for tropical diseases: a focus on malaria and schistosomiasis
|
|---|---|
| Published in |
Infectious Diseases of Poverty, October 2017
|
| DOI | 10.1186/s40249-017-0344-9 |
| Pubmed ID | |
| Authors |
Kokouvi Kassegne, Ting Zhang, Shen-Bo Chen, Bin Xu, Zhi-Sheng Dang, Wang-Ping Deng, Eniola Michael Abe, Hai-Mo Shen, Wei Hu, Takele Geressu Guyo, Solomon Nwaka, Jun-Hu Chen, Xiao-Nong Zhou |
| Abstract |
Interventions are currently being used against 'infectious diseases of poverty', which remain highly debilitating and deadly in most endemic countries, especially malaria, schistosomiasis, echinococcosis and African sleeping sickness. However, major limitations of current 'traditional' methods for diagnosis are neither simple nor convenient for population surveillance, and showed low sensitivity and specificity. Access to novel technologies for the development of adequate and reliable tools are expressly needed. A collaborative project between African Network for Drugs and Diagnostics Innovation and partner institutions in Africa and China aims to screen suitable serological biomarkers for diagnostic pipelines against these 'diseases of the poor'. Parasite-specific exposed versus unexposed individuals were screened and sera or urine/stools were collected through case-control studies in China and African countries. Target genes/open reading frames were selected, then will be cloned and cell-free expressed, quantified and immuno-detected. Target antigens/epitopes will be probed and screened with sera from exposed or unexposed individuals using a high-throughput antigen screening platform as the study progresses. The specificity and sensitivity of highly immunoreactive biomarkers will be evaluated as well, using enzyme-linked immunosorbent assays or dipsticks. This roadmap explicitly unfolds the integrated operating procedures with focus on malaria and schistosomiasis, for the identification of suitable biomarkers that will aid the prioritization of diagnostics for population use. However, there is need to further validate any new diagnostic through comparison with standard methods in field deployable tests for each region. Our expectations for the future are to seek regulatory approval and promote the use of diagnostics in endemic areas. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 15% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Bachelor | 3 | 8% |
| Lecturer | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Nursing and Health Professions | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 17 | 44% |