Genetic variation is a key factor influencing cytokine production capacity,but which genetic loci regulate cytokine production before and after vaccination,particularly in African population is ***,we aimed to identif...
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Genetic variation is a key factor influencing cytokine production capacity,but which genetic loci regulate cytokine production before and after vaccination,particularly in African population is ***,we aimed to identify single-nucleotide polymorphisms(SNPs)controlling cytokine responses after microbial stimulation in infants of West-African ancestry,comprising of low-birth-weight neonates randomized to bacillus Calmette-Gue rin(BCG)vaccine-at-birth or to the usual delayed ***-wide cytokine cytokine quantitative trait loci(cQTL)mapping revealed 12 independent loci,of which the LINC01082-LINC00917 locus influenced more than half of the cytokine-stimulation pairs ***,nine distinct cQTLs were found among infants randomized to *** validation confirmed that several complement genes affect cytokine response after BCG *** observed a limited overlap of common cQTLs between the West-African infants and cohorts of Western European *** data reveal strong population-specific genetic effects on cytokine production and may indicate new opportunities for therapeutic intervention and vaccine development in African populations.
Challenges faced by African countries in achieving the goals of sustainable development are similar and trans-boundary. Previous analysis of Africa’s progress on the Sustainable Development Goals (SDGs) has largely b...
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Challenges faced by African countries in achieving the goals of sustainable development are similar and trans-boundary. Previous analysis of Africa’s progress on the Sustainable Development Goals (SDGs) has largely beennon-spatial, reducing the ability to find spatial relationships between countries and SDGs to help cooperationand proffer country-specific interventions. This study adopted techniques of exploratory and inferential spatialstatistics to assess the successes of African countries from 2016 to 2020 in achieving the goals of sustainable de-velopment. Also, the study sought to understand how the spatial synergies and trade-offs between SDGs vary percountry and time. The results revealed that spatial hotspots of countries with high SDGs scores were mostly con-fined to northern African countries with significant coldspots within central and eastern Africa and few patchesin western and southern Africa for 2016. In 2020, the number of countries forming hotspots reduced, with Cen-tral African countries as significant cold spots. Five main spatial relationships: positive linear, negative linear,concave, convex and undefined complex, were found among countries and the SDGs. However, these spatialrelationships were fluid as they changed over time and with different levels of influence from 2016 to *** study concludes that generic solutions and policies by development agencies, governments, developmentfinance instiutions and other impact investors will not be enough in achieving the SDGs because of the spatialheterogeneity of the continent. Tailored and country-specific policies based on results of spatial statistics matter.
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