Modeling the potential of introducing different Wolbachia-infected mosquitoes to control Aedes-borne arboviral infections

Samson Ogunlade developed single and multi-Wolbachia strain(s) invasive models in wild-type mosquitoes. He found that the advantage of Wolbachia retainment in mosquitoes strongly outweighed cytoplasmic incompatibility and releasing mosquitoes with two different strains of Wolbachia did not increase their prevalence, compared with a single-strain Wolbachia-infected mosquito introduction and only delayed Wolbachia dominance. These findings contribute to the mitigation or elimination of global arboviral infections in particular, dengue

A feedback control perspective on biological control of dengue vectors by Wolbachia infection

International audienceControlling diseases such as dengue fever, chikungunya and zika fever by introduction of the intracellular parasitic bacterium $Wolbachia$ in mosquito populations which are their vectors, is presently quite a promising tool to reduce their spread. While description of the conditions of such experiments has received ample attention from biologists, entomologists and applied mathematicians, the issue of effective scheduling of the releases remains an interesting problem. Having in mind the important uncertainties present in the dynamics of the two populations in interaction, we attempt here to identify general ideas for building feedback-based release strategies, enforceable to a variety of models and situations. These principles are exemplified by several feedback control laws whose stabilizing properties are demonstrated, illustrated numerically and compared, when applied to a model retrieved from [P.-A. Bliman et al., Ensuring successful introduction of $Wolbachia$ in natural populations of $Aedes aegypti$ by means of feedback control. $J. of Math. Bio.$ 76(5):1269-1300, 2018]. The contribution is believed to be also of potential interest to tackle other important issues related to the biological control of vectors and pests. A crucial use of the theory of monotone dynamical systems is made in the derivations

Linking Differential Equations to Social Justice and Environmental Concerns

Special issue of the CODEE Journal in honor of its founder, Professor Robert Borrelli

Linking Differential Equations to Social Justice and Environmental Concerns

Special issue of the CODEE Journal in honor of its founder, Professor Robert Borrelli

Homeostasis in Immunity-Related Pupal Tissues of the Malaria Mosquito Anopheles gambiae and its regulation by the NF-kappaB-like Factor Rel2

Die Haut ist eine oft übersehene Komponente des angeborenen Immunsystems der Mücken. Die Haut der Mücke bildet eine physische Barriere, die die mikrobielle Homöostase aufrechterhält, das Eindringen von Toxinen wie Insektiziden verhindert und das Austrocknen verhindert. Die am meisten untersuchten Akteure des Immunsystems von Stechmücken sind das Fettgewebe und die Blutzellen, aber die Hauttalg-Fabriken, die Oenozyten, werden in Studien nur selten berücksichtigt. Mückenpuppen haben aktiv funktionierende immunitätsbezogene Organe, einschließlich derjenigen, die Hautbarrieren produzieren. Ihre biologische Rolle in diesem Entwicklungsstadium ist kaum bekannt, aber der Übergang von der Puppen- zur Erwachsenenhaut und die Auffälligkeit der talgproduzierenden Zellen machen dieses Stadium zu einem vielversprechenden Entwicklungsstadium für die Untersuchung der Hautbildung. Mit Hilfe der Transkriptomanalyse beschreiben wir die Rolle der Blutzellen bei der Entwicklung des chitinösen Teils der Insektenhaut, die Beteiligung des Fettkörpers an der Immunität und bestätigen die Rolle der talgproduzierenden Zellen im Lipidstoffwechsel. Darüber hinaus beschreiben wir talgsezernierende Zellen als einen bedeutenden Wirkungsort des NF-kappaB-ähnlichen IMD-Rel2-Pathway, in dem der Transkriptionsfaktor Rel2 die Retinoid-Homöostase reguliert. Schließlich bestätigen wir eine 100 Jahre alte Beobachtung, wonach sebumsezernierende Zellen der Stechmücke ihren Zellinhalt in einem Netzwerk von Vesikeln absondern. Wir beschreiben extrazelluläres Chromatin als Fracht in diesem Vesikelnetzwerk und sein antimikrobielles Potenzial.The skin is an often overlooked component of the mosquito's innate immune system. The mosquito skin provides a physical barrier that maintains microbial homeostasis, prevents the entry of toxins like insecticides, and avoids desiccation. The most studied players in the immune system of mosquitoes are the adipose tissue and blood cells, but studies rarely consider the skin sebum factories, oenocytes. Mosquito pupae have actively functional immunity-related organs, including those producing skin barriers. Their biological roles at this developmental stage are poorly understood, but the pupae-to-adult metamorphic skin transition and the conspicuity of sebum-secreting cells make it a promising developmental stage to study skin formation. We use transcriptomics to describe the role of blood cells in the development of the chitinous section of the insect skin, the involvement of the fat body in immunity, and confirm the lipid metabolism role of sebum-secreting cells. Furthermore, we describe sebum-secreting cells as a significant action site of the NF-kappaB-like IMD-Rel2 pathway where the transcription factor Rel2 regulates retinoid homeostasis. Finally, we confirm a 100-year-old observation of how mosquito sebum-secreting cells secrete their cellular contents in a network of vesicles. We describe extracellular chromatin as cargo inside this vesicle network and its antimicrobial potential

Multibody Systems with Flexible Elements

Multibody systems with flexible elements represent mechanical systems composed of many elastic (and rigid) interconnected bodies meeting a functional, technical, or biological assembly. The displacement of each or some of the elements of the system is generally large and cannot be neglected in mechanical modeling. The study of these multibody systems covers many industrial fields, but also has applications in medicine, sports, and art. The systematic treatment of the dynamic behavior of interconnected bodies has led to an important number of formalisms for multibody systems within mechanics. At present, this formalism is used in large engineering fields, especially robotics and vehicle dynamics. The formalism of multibody systems offers a means of algorithmic analysis, assisted by computers, and a means of simulating and optimizing an arbitrary movement of a possibly high number of elastic bodies in the connection. The domain where researchers apply these methods are robotics, simulations of the dynamics of vehicles, biomechanics, aerospace engineering (helicopters and the behavior of cars in a gravitational field), internal combustion engines, gearboxes, transmissions, mechanisms, the cellulose industry, simulation of particle behavior (granulated particles and molecules), dynamic simulation, military applications, computer games, medicine, and rehabilitation

Mathematical model of interactions immune system with Micobacterium tuberculosis

Tuberculosis (TB) remains a public health problem in the world, because of the increasing prevalence and treatment outcomes are less satisfactory. About 3 million people die each year and an estimated one third of the world's population infected with Mycobacterium Tuberculosis (M.tb) is latent. This is apparently related to incomplete understanding of the immune system in infection M.tb. When this has been known that immune responses that play a role in controlling the development of M.tb is Macrophages, T Lymphocytes and Cytokines as mediators. However, how the interaction between the two populations and a variety of cytokines in suppressing the growth of Mycobacterium tuberculosis germ is still unclear. To be able to better understand the dynamics of infection with M tuberculosis host immune response is required of a model.One interesting study on the interaction of the immune system with M.tb mulalui mathematical model approach. Mathematical model is a good tool in understanding the dynamic behavior of a system. With the mediation of mathematical models are expected to know what variables are most responsible for suppressing the growth of Mycobacterium tuberculosis germ that can be a more appropriate approach to treatment and prevention target is to develop a vaccine. This research aims to create dynamic models of interaction between macrophages (Macrophages resting, macrophages activated and macrophages infected), T lymphocytes (CD4 + T cells and T cells CD8 +) and cytokine (IL-2, IL-4, IL-10,IL-12,IFN-dan TNF-) on TB infection in the lung. To see the changes in each variable used parameter values derived from experimental literature. With the understanding that the variable most responsible for defense against Mycobacterium tuberculosis germs, it can be used as the basis for the development of a vaccine or drug delivery targeted so hopefully will improve the management of patients with tuberculosis. Mathematical models used in building Ordinary Differential Equations (ODE) in the form of differential equation systems Non-linear first order, the equation contains the functions used in biological systems such as the Hill function, Monod function, Menten- Kinetic Function. To validate the system used 4th order Runge Kutta method with the help of software in making the program Matlab or Maple to view the behavior and the quantity of cells of each population

Reticulate Evolution: Symbiogenesis, Lateral Gene Transfer, Hybridization and Infectious heredity

info:eu-repo/semantics/publishedVersio

EVOLUTION OF WOLBACHIA SYMBIOSIS IN ARTHOPODS AND NEMATODES: INSIGTHS FROM PHYLOGENETICS AND COMPARATIVE GENOMICS

Wolbachia is a bacterium observed in relationship with a wide array of arthropod and nematode species. This is an obligate intracellular symbiont, maternally transferred through the host oocytes. In arthropods Wolbachia is able to manipulate reproduction, using multiple strategies to increase the fitness of infected females. In nematodes the bacterium has a fundamental, and not completely understood, role in larvae development. Wolbachia infects ~50% of all the arthropod species worldwide, and in some of them it can be considered the most important sex determination factor. In contrast, Wolbachia presence is much more limited in nematodes, being present in a limited number of filarial species. The taxonomic status within the Wolbachia genus is highly debated, with the current classification dividing all strains in 14 'supergroups'. During my Ph.D. I studied the evolution of the symbiotic relationship between Wolbachia and its arthropod and nematode hosts, using genomic approaches. Indeed, during the evolution of the Wolbachia-host relationship, genetic signs have been left in the Wolbachia genomes. I worked to identify these genomic signs and to evaluate them within an evolutionary frame, in order to obtain a better understanding of how the Wolbachia-host symbiosis evolved. The work here presented can be organized in three major sections: i) the sequencing and analysis of the genome of the filarial nematode Dirofilaria immitis and of its symbiotic Wolbachia strain, wDi; ii) the sequencing of the genome of Wolbachia endosymbiont of Litomosoides sigmodontis, and the phylogenomic reconstruction of the Wolbachia supergroups A-D; iii) a comparison of the genomes of 26 Wolbachia strains spanning the A to F supergroups. Here a schematic summary of the results is reported: 1. Dirofilaria immitis and the Wolbachia symbiont wDi show metabolic complementarity for fundamental pathways 2. The metabolic pathway for the synthesis of wDi membrane proteins is one evolving the fastest in the genome of the bacterium 3. Nematode Wolbachia belonging to supergroups C and D are monophyletic, indicating that a single transition to mutualism likely occurred during the evolution of Wolbachia 4. Wolbachia strains of the C supergroup show genomic features that are unique in the genus, such as a much higher level of synteny compared to the rest of Wolbachia supergroups, and a newly generated pattern of GC skew curves, typically observed in free-living bacteria genomes 5. Wolbachia supergroups show conserved genomic features, which suggest genomic isolation among them