Title |
Evolution of the levels of human leukocyte antigen G (HLA-G) in Beninese infant during the first year of life in a malaria endemic area: using latent class analysis
|
---|---|
Published in |
Malaria Journal, February 2016
|
DOI | 10.1186/s12936-016-1131-y |
Pubmed ID | |
Authors |
Tania C. d’Almeida, Ibrahim Sadissou, Gilles Cottrell, Rachida Tahar, Philippe Moreau, Benoit Favier, Kabirou Moutairou, Eduardo A. Donadi, Achille Massougbodji, Nathalie Rouass-Freiss, David Courtin, André Garcia |
Abstract |
HLA-G, a non-classical HLA class I antigen, is of crucial interest during pregnancy by inhibiting maternal immune response. Its role during infections is discussed, and it has been described that high levels of soluble HLA-G during childhood increase the risk of malaria. To explore more precisely interactions between soluble HLA-G and malaria, latent class analysis was used to test whether distinct sub-populations of children, each with distinctive soluble HLA-G evolutions may suggest the existence of groups presenting variable malaria susceptibility. A study was conducted in Benin from 2010 to 2013 and 165 children were followed from birth to 12 months. Evolution of soluble HLA-G was studied by the latent class method. Three groups of children were identified: one with consistently low levels of soluble HLA-G during follow-up, a second with very high levels and a last intermediate group. In all groups, low birth weight, high number of malaria infections and high exposure to malaria transmission were associated with high level of soluble HLA-G. Placental malaria was not. Presence of soluble HLA-G in cord blood increased the probability of belonging to the highest trajectory. These results, together with previous ones, confirm the important role of HLA-G in the individual susceptibility to malaria. Assaying soluble HLA-G at birth could be a good indicator of newborns more fragile and at risk of infections during childhood. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 15% |
Student > Master | 7 | 15% |
Unspecified | 6 | 13% |
Researcher | 6 | 13% |
Student > Doctoral Student | 3 | 6% |
Other | 8 | 17% |
Unknown | 10 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 15% |
Nursing and Health Professions | 5 | 11% |
Medicine and Dentistry | 5 | 11% |
Design | 5 | 11% |
Business, Management and Accounting | 2 | 4% |
Other | 10 | 21% |
Unknown | 13 | 28% |