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Bertin, G.

Publications and source records attributed to Bertin, G..

3 recordsLinked to original sources

A complex Plasmodium falciparum cryptotype circulating at low frequency across the African continent

The population structure of the malaria parasite Plasmodium falciparum can reveal underlying demographic and adaptive evolutionary processes. Here, we analyse population structure in 4,376 P. falciparum genomes from 21 countries across Africa. We identified a strongly differentiated cluster of parasites, comprising [~]1.2% of samples analysed, geographically distributed over 13 countries across the continent. Members of this cluster, named AF1, carry a genetic background consisting of a large number of highly differentiated variants, rarely observed outside this cluster, at a multitude of genomic loci distributed across most chromosomes. At these loci, the AF1 haplotypes appear to have common ancestry, irrespective of the sampling location; outside the shared loci, however, AF1 members are genetically similar to their sympatric parasites. AF1 parasites sharing up to 23 genomic co-inherited regions were found in all major regions of Africa, at locations over 7,000 km apart. We coined the term cryptotype to describe a complex common background which is geographically widespread, but concealed by genomic regions of local origin. Most AF1 differentiated variants are functionally related, comprising structural variations and single nucleotide polymorphisms in components of the MSP1 complex and several other genes involved in interactions with red blood cells, including invasion and erythrocyte antigen export. We propose that AF1 parasites have adapted to some as yet unidentified evolutionary niche, by acquiring a complex compendium of interacting variants that rarely circulate separately in Africa. As the cryptotype spread across the continent, it appears to have been maintained mostly intact in spite of recombination events, suggesting a selective advantage. It is possible that other cryptotypes circulate in Africa, and new analysis methods may be needed to identify them.

genomics↗

Innate immune recognition of a bacterial MAMP leads to conditional activation of pro- or anti-inflammatory responses

Microbe-associated molecular patterns (MAMPs) are recognized by pattern recognition receptors (PRRs) of the innate immune system. Flagellin, the primary component of bacterial flagella, is recognized by membrane TLR5 and cytoplasmic NLRC4 receptors, which promote a vigorous pro-inflammatory response typically associated with bacterial infection. However, herein, we report that the nature of the flagellin-induced response is highly dependent on the physiological state of the tissue. Specifically, in the steady state, epithelial cell detection of flagellin orchestrates an anti-inflammatory response mediated by IL-33-dependent type 2 regulatory T cells while, in the context of injury, it induces a pro-inflammatory response mediated by myeloid cells, IL-18 and Th17 cells. Likewise, in the absence of infection, bacterial symbionts expressing high levels of flagellin induce a type 2 response. These data demonstrate that, depending on the inflammatory state of the milieu, MAMPs can function both as immunogens or tolerogens.

immunology↗

Genomic from Plasmodium falciparum field isolates from Benin allows the identification of PfEMP1 variants by LC-MS/MS at the patient’s level

PfEMP1 are the major protein family from parasitic origin involves in the pathophysiology of severe malaria, and PfEMP1 domain subtypes are associated with the infection outcome. In addition, PfEMP1 variability in endless and current protein repository do not reflect the immense diversity of the sequences of PfEMP1 proteins. The aim of our study was to identify the different PfEMP1 variants expressed within a patient sample by mass spectrometry. We performed a proteogenomic approach to decipher at the patients level PfEMP1 expression in different clinical settings: cerebral malaria, severe anemia and uncomplicated malaria. The combination of whole genome sequencing approach, RNAsequencing, and mass spectrometry proteomic analysis allowed to attribute PfEMP1 sequences to each sample and classify the relative expression level of PfEMP1 proteins within each sample. We predicted PfEMP1 structures using the newly identified protein sequences. We confirmed the involvement of DBL{beta} in malaria pathogenesis and observed that CIDR domains linked to ICAM-1 binding DBL{beta} domains displayed EPCR binding structure.

microbiology↗