Ndong Ngomo J M, M'Bondoukwe N P, Yavo W, Bongho Mavoungou L C, Bouyou-Akotet M K, Mawili-Mboumba D P
Faculty of Medicine, Department of Parasitology and Mycology, University des Sciences de la Santé, BP 4009, Libreville, Gabon.
Malaria Research and Control Centre, National Institute of Public Health, BPV 47, Abidjan, Cote d'Ivoire; Faculty of Pharmacy, Department of Parasitology and Mycology, Félix Houphouët-Boigny University, BPV 34, Abidjan, Cote d'Ivoire.
Acta Trop. 2018 Feb;178:27-33. doi: 10.1016/j.actatropica.2017.09.026. Epub 2017 Oct 7.
Plasmodium population dynamics analysis may help to assess the impact of malaria control strategies deployment. In Gabon, new strategies have been introduced, but malaria is still a public health problem marked by a rebound of the prevalence in 2011. The aim of the study was to investigate the spatial and temporal distribution of P. falciparum strains in different areas in Gabon during a period of malaria transmission transition, between 2008 and 2011. A total of 109P. falciparum isolates were genotyped using nested-PCR of Pfmsp1 and Pfmsp2 genes. 3D7, FC27 and K1 allele frequencies were comparable between sites (p=0.9); those of Ro33 (93.6%; 44/47) and Mad20 (60%; 12/20) were significantly higher in isolates from Oyem (p<0.01) and Port-Gentil (p=0.02), respectively. The frequency of multiples infections (77%) and the complexity of infection (2.66±1.44) were the highest at Oyem. Pfmsp1 gene analysis highlighted a trend of a decreasing frequency of K1 family, in Libreville and Oyem between 2008 and 2011; while that of Ro33 (p<0.01) and Mad20 (p<0.01) increased. The prevalence of multiple infections was comparable between both periods in each site: 42.2% vs 47.6% (p=0.6) in Libreville and 57.7% vs 61.7% in Oyem (p=0.8). In contrast, in 2011, the COI tends to be higher in Libreville and did not vary in Oyem. These data confirm an extended genetic diversity of P. falciparum isolates over time and according to geographic location in Gabon. Nevertheless, the impact of the deployment of malaria control strategies on the parasites genetic profile is not clearly established here.
疟原虫种群动态分析有助于评估疟疾控制策略实施的影响。在加蓬,已引入新的策略,但疟疾仍是一个公共卫生问题,其特征是2011年患病率出现反弹。本研究的目的是调查2008年至2011年疟疾传播过渡期间加蓬不同地区恶性疟原虫菌株的时空分布。使用Pfmsp1和Pfmsp2基因的巢式PCR对总共109株恶性疟原虫分离株进行基因分型。各地点间3D7、FC27和K1等位基因频率具有可比性(p = 0.9);Ro33(93.6%;44/47)和Mad20(60%;12/20)的等位基因频率在奥耶姆(p < 0.01)和让蒂尔港(p = 0.02)的分离株中分别显著更高。多重感染频率(77%)和感染复杂性(2.66±1.44)在奥耶姆最高。Pfmsp1基因分析突出显示,2008年至2011年期间,利伯维尔和奥耶姆的K1家族频率呈下降趋势;而Ro33(p < 0.01)和Mad20(p < 0.01)的频率增加。每个地点两个时期的多重感染患病率具有可比性:利伯维尔为42.2%对47.6%(p = 0.6),奥耶姆为57.7%对61.7%(p = 0.8)。相比之下,2011年,利伯维尔的感染复杂性指数趋于更高,而奥耶姆则无变化。这些数据证实,随着时间推移以及根据加蓬的地理位置,恶性疟原虫分离株的遗传多样性有所扩展。然而,此处尚未明确确立疟疾控制策略的实施对寄生虫基因谱的影响。