Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.04.26.489492

Assessment of Culicidae collection methods for xenomonitoring lymphatic filariasis in malaria co-infection context in Burkina Faso

Abstract

BackgroundEntomological surveillance of lymphatic filariasis (LF) and malaria infections play an important role in the decision-making of national programs, to control or eliminate these both diseases. In order to corroborate infections in the human population, sampling large numbers of mosquitoes is necessary. To overcome this challenge, this study was design to assess the efficiency of four mosquito collection methods for monitoring LF and malaria infections in mosquito population. Methodology/Principle FindingsMosquito collections were performed between August and September 2018 in four villages (Koulpissy, Seiga, and Peribgan, Saptan), distributed in East and South-West health regions of Burkina Faso. Different collection methods were used: Human Landing Catches (HLC) executed indoor and outdoor, Window Exit-Trap, Double Net Trap (DNT) and Pyrethrum Spray Catches (PSC). Molecular analyses were performed to identify Anopheles gambiae s.l. sibling species and to detect Wuchereria bancrofti and Plasmodium falciparum infection in mosquitoes. A total of 3,322 mosquitoes were collected among this, Anopheles gambiaes.l. was the vector caught in largest proportion (63.82%). An. gambiae s.l. sibling species molecular characterization showed that Anopheles gambiae was the dominant specie in all health regions. The Human Landing Catches (indoor and outdoor) collected the highest proportion of mosquitoes (between 61.5%and 82.79%). For sampling vectors infected to W. bancrofti and P. falciparum, PSC, HLC and Window Exit-Trap were been find as the most effective collection methods. Conclusions/SignificanceThis study revealed that HLC indoor and outdoor remained the most effective collection methods. Likewise, the results showed the probability to use Window Exit-Trap and PSC collection methods to sample Anopheles infected and can be useful for xenomonitoring for both LF and malaria. Author summaryIn Burkina Faso the monitoring and evaluation scheme to assess the impact of LF and malaria interventions is only focusing on parasitological tests. While nowadays, the most simple and direct measure of vector borne diseases is xenomonitoring. Thus, in order to confirm both diseases infection rate in the human population, sampling large numbers of mosquitoes is necessary. This study was undertaken in this context to assess the efficiency of four mosquito collection methods for xenomonitoring LF and malaria. Mosquito collections were performed between August and September 2018 in four villages, distributed in East and South-West health regions of Burkina Faso. Human Landing Catches (HLC), Window Exit-Trap, Double Net Trap (DNT) and Pyrethrum Spray Catches (PSC) were evaluated. The results showed that HLC remained the most effective collection method by collecting the highest number of Anopheles (2,388; 71.88% of total). Across the study, mosquito infection rate for Wuchereria bancrofti and Plasmodium falciparum were 0.004 and 0.13 respectively. To collect vectors infected it was found that Window Exit-Trap and PSC were efficiencies. In conclusion, HLC has shown to be appropriate for collect large number of mosquitoes. Likewise, Window Exit-Trap and PSC can be useful for xenomonitoring for both LF and malaria.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Coulibaly, S., Sawadogo, S. P., Nikiema, A. S., Hien, A. S., Bamogo, R., Koala, L., Sangare, I., Bougma, R. W., Koudou, B. B., Fournet, F., Ouedraogo, G. A., Dabire, R. K.. 2022-04-27. Assessment of Culicidae collection methods for xenomonitoring lymphatic filariasis in malaria co-infection context in Burkina Faso. https://doi.org/10.1101/2022.04.26.489492

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

NAE1-Dependent Protein Neddylation Preserves Endothelial Identity and Vascular Integrity

Background: Endothelial dysfunction is a central driver of cardiovascular and inflammatory diseases, yet the post-translational mechanisms that preserve endothelial homeostasis remain incompletely understood. Protein neddylation, the covalent conjugation of a ubiquitin-like modifier, regulates diverse cellular processes, yet its physiological role in the vascular endothelium remains unknown. This study investigated whether protein neddylation is required to preserve endothelial identity and vascular homeostasis. Methods: We generated tamoxifen-inducible endothelial-specific Nae1 knockout mice to inhibit neddylation and combined bulk RNA sequencing, single-cell and single-nucleus transcriptomics, quantitative proteomics, biochemical analyses, and gain- and loss-of-function approaches to define the role of endothelial neddylation in vascular homeostasis and inflammatory injury. Results: Endothelial-specific Nae1 deletion caused rapid mortality associated with vascular leakage, platelet accumulation, inflammation, and multi-organ injury. Multi-omics analyses demonstrated profound loss of endothelial identity, characterized by suppression of core endothelial programs and activation of inflammatory, procoagulant, and pyroptotic pathways. Single-cell analyses revealed progressive endothelial dysfunction culminating in depletion of the endothelial population and remodeling of the vascular niche. Mechanistically, endothelial neddylation deficiency activated gasdermin D (GSDMD)- and gasdermin E (GSDME)-dependent pyroptosis, whereas dual inhibition of GSDMD and GSDME markedly attenuated inflammatory transcriptomic remodeling, vascular injury, hepatocyte death, immune cell infiltration, and platelet accumulation. Translational analyses demonstrated reduced endothelial neddylation in experimental endotoxemia and decreased expression of neddylation pathway components in human atherosclerosis and COVID-19 datasets. Conversely, restoration of endothelial neddylation partially reversed inflammatory endothelial transcriptomic reprogramming in vivo. Conclusions: NAE1-dependent protein neddylation is an essential regulator of endothelial identity and vascular integrity. Loss of endothelial neddylation promotes gasdermin-dependent pyroptosis and thrombo-inflammatory vascular injury, whereas restoration of the neddylation pathway mitigates inflammatory endothelial dysfunction. These findings identify endothelial neddylation as a fundamental mechanism maintaining vascular homeostasis and a potential therapeutic target for cardiovascular and inflammatory diseases.

pathology↗

Integrating cellular graph embeddings with tumor morphological features to predict in-silico spatial transcriptomics from H&E images

Spatial transcriptomics allows precise RNA abundance measurement at high spatial resolution, linking cellular morphology with gene expression. We present a novel deep learning algorithm predicting local gene expression from histopathology images. Our approach employs a graph isomorphism neural network capturing cell-to-cell interactions in the tumor microenvironment and a Vision Transformer (CTransPath) for obtaining the tumor morphological features. Using a dataset of 30,612 spatially resolved gene expression profiles matched with histopathology images from 23 breast cancer patients, we identify 250 genes, including established breast cancer biomarkers, at a 100 {micro}m resolution. Additionally, we co-train our algorithm on spatial spot-level transcriptomics from 10x Visium breast cancer data along with another variant of our algorithm on TCGA-BRCA bulk RNA Seq. data, yielding mutual benefits and enhancing predictive accuracy on both these datasets. This work enables image-based screening for molecular biomarkers with spatial variation, promising breakthroughs in cancer research and diagnostics.

pathology↗

Small but significant genetic differentiation among populations of Phyllachora maydis in the midwestern United States revealed by microsatellite (SSR) markers.

Phyllachora maydis Maubl, the causal pathogen of tar spot of corn (Zea mays L.), has emerged recently in the United States and Canada. Studies related to its genetic diversity and population structure are limited and are necessary to improve our understanding of this pathogens biology, ecology, epidemiology, and evolutionary potential within this region. This study developed and used 13 microsatellites (SSR markers) to assess the genetic population structure, diversity, gene flow and reproductive mode of 181 P. maydis samples across five states in the Midwest U.S. The polymorphic information content (PIC) of loci ranged from 0.32 to 0.72 per locus, indicating their high utility for assessing the dynamics of P. maydis populations. Analysis of molecular variance (AMOVA) detected a significantly low, but statistically significant genetic differentiation (FST = 0.15) among populations, where 85% of the variance resided within populations. P. maydis populations were highly diverse (He = 0.55), with moderate gene flow (Nm = 2.80), and showed evidence of sexual recombination ([r]d; p = > 0.001). Structure analysis showed the samples were not geographically structured but rather grouped into two genetic clusters (k =2) of severe genetic admixture suggesting possible long-distance dispersal of aerial spores or infected corn materials among the five Midwest states. Both principal coordinate analysis (PCoA) and discriminate analysis of principal component (DAPC) supported the STRUCTURE analysis of the two clusters. These 13 highly polymorphic molecular markers could be used for future investigations of this pathogens population dynamics within the U.S., and possibly populations outside.

pathology↗