Apoptosis is a genetically regulated cell death program, which shows distinct morphological characteristics. It takes place during neuronal development and in some neurodegenerative diseases. During apoptosis, the intracellular proteins are degraded by various caspases, cysteine aspartases, which are regulated by pro- and anti-apoptotic signals. This thesis elucidates the role of anti-apoptotic proteins in nerve cell survival and neurodegeneration. Studies have focused on Bcl-2 family members and Inhibitor of Apoptosis Proteins (IAP). XIAP and RIAP-2 are IAP proteins, which are expressed by neurons in the central nervous system. Kainic acid, a glutamate receptor agonist that induces seizures, increased XIAP immunoreactivity in rat hippocampus, whereas RIAP-2 expression in the same time decreased in degenerating neurons. Both XIAP and RIAP-2 were absent in dying neurons indicating that these proteins have a protective role in kainic acid induced neurodegeneration. NAIP, another IAP family member, was shown to interact with the calcium binding protein Hippocalcin using the yeast two-hybrid system and immunoprecipitation experiments. Hippocalcin-NAIP interaction increased motoneuron survival in caspase-3 independent and dependent manners. The anti-apoptotic Bcl-2 proteins, Bcl-2 and Bcl-x, were studied using cultured neurons and human neuronal progenitor cells. In the progenitor cells, Bcl-2 overexpression enhanced cell survival and induced downregulation of Caspase-2 (ICH-1) and caspase-3 (YAMA/CPP32). These results suggest a novel mechanism for the action of Bcl-2. Estrogen was shown to inhibit death of cultured dorsal root ganglion neurons (DRG) after nerve growth factor withdrawal. The hormone increased the levels of Bcl-x, which may explain the known neuroprotective function of estrogen.

Neurotransmitter release at presynaptic terminals is a complex process involving calcium ion influx through voltage-gated calcium channels (CaV). In addition to their role as entry points through which calcium influx may occur, CaV are now understood to be fundamental components of a common release-site complex that is highly adapted for modulation. Consistent with this model, I investigated mechanisms of modulating a presynaptic calcium channel, CaV2.2, via a heterotrimeric G-protein pathway. Using the patch-clamp technique, I demonstrated in chick dorsal root ganglion (DRG) neurons that the slow kinetics of G-protein inhibition of CaV2.2 via GTPgammaS were limited by the rate of GDP dissociation from the G-protein nucleotide binding site. In addition, I investigated the role of G-protein regulation of CaV2.2 currents evoked by action potential-like stimuli. Here, I characterized an inhibited current that was advanced in time with respect to uninhibited controls. These currents exhibited a shorter latency to current activation and faster deactivation. These findings may have important physiological ramifications on signal transduction and timing. In addition to G-protein regulation, presynaptic CaV2.2 have been demonstrated to exhibit a resistance to voltage-dependent inactivation (VDI), a property thought to be important in determining channel availability and synaptic excitability. I demonstrated a role for dynamic palmitoylation in conferring resistance to VDI in presynaptic terminals of the chick ciliary ganglion. Using tunicamycin, an inhibitor of palmitoylation, I induced a hyperpolarizing shift in the steady-state-inactivation (SSI) profile of presynaptic CaV2.2. Finally, I examined the role of a CaV interacting protein, Munc18, as a potential regulator of CaV. I probed for alterations in CaV2.2 function in DRG neurons that had been transfected with Munc18 or Munc18 siRNA. Despite the intimate interaction between Munc18 and CaV2.2, no major effects on the fundamental characteristics of CaV2.2 function were observed. However, a hyperpolarizing shift in the inactivation profile of CaV2.2 was determined in DRG neurons in which Munc18 was knocked down. It is not clear if this was a direct consequence of Munc18 perturbation.

Neurotransmitter release at presynaptic terminals is a complex process involving calcium ion influx through voltage-gated calcium channels (CaV). In addition to their role as entry points through which calcium influx may occur, CaV are now understood to be fundamental components of a common release-site complex that is highly adapted for modulation. Consistent with this model, I investigated mechanisms of modulating a presynaptic calcium channel, CaV2.2, via a heterotrimeric G-protein pathway. Using the patch-clamp technique, I demonstrated in chick dorsal root ganglion (DRG) neurons that the slow kinetics of G-protein inhibition of CaV2.2 via GTPgammaS were limited by the rate of GDP dissociation from the G-protein nucleotide binding site. In addition, I investigated the role of G-protein regulation of CaV2.2 currents evoked by action potential-like stimuli. Here, I characterized an inhibited current that was advanced in time with respect to uninhibited controls. These currents exhibited a shorter latency to current activation and faster deactivation. These findings may have important physiological ramifications on signal transduction and timing. In addition to G-protein regulation, presynaptic CaV2.2 have been demonstrated to exhibit a resistance to voltage-dependent inactivation (VDI), a property thought to be important in determining channel availability and synaptic excitability. I demonstrated a role for dynamic palmitoylation in conferring resistance to VDI in presynaptic terminals of the chick ciliary ganglion. Using tunicamycin, an inhibitor of palmitoylation, I induced a hyperpolarizing shift in the steady-state-inactivation (SSI) profile of presynaptic CaV2.2. Finally, I examined the role of a CaV interacting protein, Munc18, as a potential regulator of CaV. I probed for alterations in CaV2.2 function in DRG neurons that had been transfected with Munc18 or Munc18 siRNA. Despite the intimate interaction between Munc18 and CaV2.2, no major effects on the fundamental characteristics of CaV2.2 function were observed. However, a hyperpolarizing shift in the inactivation profile of CaV2.2 was determined in DRG neurons in which Munc18 was knocked down. It is not clear if this was a direct consequence of Munc18 perturbation.

In this thesis we studied theoretically and numerically dynamics, order and fluctuations in two dimensional active matter with specific reference to the nematic phase in collections of self-driven particles.The aim is to study the ways in which a nonequilibrium steady state with nematic order differs from a thermal equilibrium system of the same spatial symmetry. The models we study are closely related to “flocking”[1], as well as to equations written down to describe the interaction of molecular motors and filaments in a living cell[2,3] and granular nematics [4]. We look at (i) orientational and density fluctuations in the ordered phase, (ii) the way in which density fluctuations evolve in a nematic background, and finally (iii) the coarsening of nematic order and the density field starting from a statistically homogeneous and isotropic initial state. Our work establishes several striking differences between active nematics and their thermal equilibrium counterparts. We studied two-dimensional nonequilibrium active nematics. Two-dimensional nonequilibrium nematic steady states, as found in agitated granular-rod monolayers or films of orientable amoeboid cells, were predicted [5] to have giant number fluctuations, with the standard deviation proportional to the mean. We studied this problem more closely, asking in particular whether the active nematic steady state is intrinsically phase-separated. Our work has close analogy to the work of Das and Barma[6] on particles sliding downhill on fluctuating surfaces, so we looked at a model in which particles were advected passively by the broken-symmetry modes of a nematic, via a rule proposed in [5]. We found that an initially homogeneous distribution of particles on a well-ordered nematic background clumped spontaneously, with domains growing as t1/2, and an apparently finite phase-separation order parameter in the limit of large system size. The density correlation function shows a cusp, indicating that Porod’s Law does not hold here and that the phase-separation is fluctuation-dominated[7]. Dynamics of active particles can be implemented either through microscopic rules as in[8,9]or in a long-wavelength phenomenological approach as in[5]It is important to understand how the two methods are related. The purely phenomenological approach introduces the simplest possible (and generally additive)noise consistent with conservation laws and symmetries. Deriving the long-wavelength equation by explicit coarse-graining of the microscopic rule will in general give additive and multiplicative noise terms, as seen in e.g., in [10]. We carry out such a derivation and obtain coupled fluctuating hydrodynamic equations for the orientational order parameter (polar as well as apolar) and density fields. The nonequilibrium “curvature-induced” current term postulated on symmetry grounds in[5]emerges naturally from this approach. In addition, we find a multiplicative contribution to the noise whose presence should be of importance during coarsening[11]. We studied nonequilibrium phenomena in detail by solving stochastic partial differential equations for apolar objects as obtained from microscopic rules in[8]. As a result of “curvature-induced” currents, the growth of nematic order from an initially isotropic, homogeneous state is shown to be accompanied by a remarkable clumping of the number density around topological defects. The consequent coarsening of both density and nematic order are characterised by cusps in the short-distance behaviour of the correlation functions, a breakdown of Porod’s Law. We identify the origins of this breakdown; in particular, the nature of the noise terms in the equations of motion is shown to play a key role[12]. Lastly we studied an active nematic steady-state, in two space dimensions, keeping track of only the orientational order parameter, and not the density. We apply the Dynamic Renormalization Group to the equations of motion of the order parameter. Our aim is to check whether certain characteristic nonlinearities entering these equations lead to singular renormalizations of the director stiffness coefficients, which would stabilize true long-range order in a two-dimensional active nematic, unlike in its thermal equilibrium counterpart. The nonlinearities are related to those in[13]but free of a constraint that applies at thermal equilibrium. We explore, in particular, the intriguing but ultimately deceptive similarity between a limiting case of our model and the fluctuating Burgers/KPZequation. By contrast with that case, we find that the nonlinearities are marginally irrelevant. This implies in particular that 2-dactive nematics too have only quasi-long-range order[14].

Made available in DSpace on 2016-06-02T19:04:00Z (GMT). No. of bitstreams: 1 6814.pdf: 27157124 bytes, checksum: ccc98f69d1fc4cdc487ac2e9917edfc0 (MD5) Previous issue date: 2015-03-09 / Microelectrode arrays (MEA) are devices that allow chemical and electrical stimulation and recording of the extracellular electrical activity from entire neuronal cultures over long periods of time, such as several weeks. Some MEA models have transparent substrate, which enables the imaging of culture using optical microscopy. The images are taken from two channels: fluorescence light and transmitted light channels. In the first one, it is possible to visualize the neurons, while in the other one, it is possible to observe the microelectrodes. The objective of this work is to develop methods that enable performing quantitative analysis of the dissociated culture of rat dorsal root ganglion (DRG) neurons plated on MEA by means of the processing of the images, obtained from confocal fluorescence microscopy. We proposed and developed the following methods in order to achieve this objective: (A) A method to automatically identify the microelectrodes in the transmitted light channel using circular Hough Transform and error correction based on the Delaunay triangulation; (B) the registration of a number of images taken at different parts of the MEA in order to generate a unique and high-resolution representation of the whole culture; (C) the segmentation of the neuron in 2D images taken from the fluorescence channel, composed by the steps: preprocessing, thresholding, morphological filtering, neurons occlusion correction, watershed transform and object classification; (D) 2D quantitative analysis based on the identified microelectrodes and on the segmented neurons; (E) a method for generating 3D polygonal models of the neurons from the volumetric images, to be used for visualizing the culture on the MEA by different points of view and zoom levels; and (F) 3D quantitative analysis performed by the processing of the polygonal surfaces in conjunction with the information about the microelectrodes positioning. The results show that the methods are capable to identify the neurons and microelectrodes on the 2D images efficiently. In the 3D images, the preprocessing step which uses information from the 2D segmentation method, showed to be capable to generate correct polygonal models efficiently. Most of the studies involving the analysis of neuron cultures on MEAs consider only qualitative analysis or simple quantitative measures. However, the methods proposed in this thesis enables to obtain important measures related to the neuron culture, such as: the density and morphology of the neurons, and the spatial and topological distribution of the neurons and microelectrodes. The information about neuron morphology is important because they are related to the behavior of this kind of neuron. The spatial and topological distribution of neurons and microelectrodes are used for providing models of the interface between these elements, for supporting the analysis of the electrophysiological signal recorded by the microelectrodes, as well as in the computational simulations of the neuron culture behavior. / Matrizes de Microeletrodos (MEAs) são dispositivos que permitem estimular quimicamente ou eletricamente e registrar a atividade elétrica extracelular de culturas de neurônios durante um longo período de tempo, da ordem de várias semanas. Modelos de MEAs com o substrato transparente permitem imagear a cultura por meio de microscopia óptica. As imagens são obtidas em dois canais: um de luz de fluorescência e outro de luz de transmissão. O primeiro permite visualizar os neurônios, enquanto o segundo os microeletrodos. O objetivo deste trabalho é desenvolver métodos que permitam realizar análises quantitativas de culturas dissociadas de neurônios de gânglio da raiz dorsal (Dorsal Root Ganglion DRG) de ratos em MEAs por meio do processamento de imagens obtidas por microscopia confocal de fluorescência. Os seguintes métodos foram propostos e desenvolvidos para atingir este objetivo: (A) Identificação automática dos microeletrodos nas imagens do canal de luz de transmissão utilizando a transformada de Hough circular e correção de erros baseado na triangulação de Delaunay; (B) Registro de várias imagens tomadas de diferentes regiões da MEA para gerar uma única imagem em alta resolução que contemple a cultura toda; (C) Segmentação dos neurônios em imagens 2D obtidas a partir do canal de fluorescência, composto por etapas de pré-processamento, segmentação, filtragem morfológica, correção da oclusão de neurônios, transformada watershed e classificação de objetos; (D) Análise quantitativa 2D baseada nos microeletrodos identificados e nos neurônios segmentados; (E) Método para geração de modelos poligonais 3D dos neurônios a partir de imagens volumétricas, modelos os quais são utilizados para visualização da cultura na MEA por diferentes pontos de vista e níveis de zoom; e (F) Análise quantitativa 3D realizada por meio do processamento das superfícies poligonais juntamente com as informações sobre a posição dos microeletrodos. Os resultados mostram que os métodos são capazes de identificar com eficiência os neurônios e microeletrodos presentes nas imagens 2D. Nas imagens 3D, a etapa de pré-processamento utilizando informações resultantes do método de segmentação 2D se mostrou eficiente na geração dos modelos poligonais corretos. Enquanto a maioria das análises de imagens de culturas de neurônios em MEA consideram apenas análises quantitativas simples, os métodos aqui propostos permitem obter importantes medidas quantitativas relacionadas às culturas, tais como: a densidade e morfologia dos neurônios, assim como a distribuição espacial e topológica dos neurônios em relação aos microeletrodos. As informações sobre a morfologia são importantes, pois estão relacionadas com o comportamento desse tipo de neurônio. A distribuição espacial e topológica dos neurônios e microeletrodos permitem modelar a interface entre neurônios e microeletrodos e auxiliar nos estudos dos sinais eletrofisiológicos capturados pelos microeletrodos, assim como em simulações computacionais do comportamento dessas culturas.

Introduction / présentation du contexte : La création des ARS s’est accompagnée d’un pilotage régionalisé de la gouvernance sanitaire. Si les modalités administratives de découpage des territoires sanitaires sont connues, nous proposons une analyse géographique des logiques de fréquentation effectives des établissements hospitaliers qui semblent échapper à ce cadre réglementaire.Méthodes employées et sources de donnéesA partir du PMSI-MCO, nous avons étudié les flux inter-régionaux hospitaliers pour dix motifs de recours. L’analyse a été complétée par une analyse cartographique associant les mobilités à différents découpages géographiques et historiques, en Bourgogne et pour neuf autres régions test.Principaux résultats : La cartographie des mobilités hospitalières en Bourgogne et pour chaque région test montre que les flux de patients s’insèrent dans des ensembles territoriaux souvent cohérents au regard des limites que nous avons utilisées. Nos résultats indiquent que les frontières administratives régionales ne délimitent pas toujours des territoires homogènes. Pour chaque région test, des frontières invisibles apparaissent, héritées de la sédimentation historique et façonnées par des interfaces géographiques multiples.Discussion/Conclusion : La géographie aide à mieux comprendre l’organisation des flux hospitaliers, qui échappent aux logiques administratives régionales de la planification actuelle. A l’heure de la création de nouvelles grandes régions, l’outil géographique apparaît essentiel pour contribuer à l’instauration d’une gouvernance sanitaire plus pragmatique. / Introduction / presentation of the context : The creation of ARS (Regional Healthcare Agencies) was accompanied by the regionalized organization of healthcare. Even though the administrative procedures for dividing the country into areas for healthcare coverage are well known, we propose a geographic analysis of the reasons why patients attend one hospital rather than another, which seem to escape the logic used by the authorities.Methods employed and sources of data : Using the PMSI-MCO, we studied the flow of patients living in one region to hospitals in other regions according to ten reasons for visiting hospitals. The analysis was completed by a cartographic analysis, which related the flow to different geographical and historical divisions in Burgundy and in nine other test regions.Main results : The cartography of hospital flow in Burgundy and for each test region showed that the choices made by patients were often coherent with regard to the limits that we used. Our results indicate that regional administrative boundaries do not always create homogeneous territories. For each test region, invisible boundaries appear. They stem from historical sedimentation and were shaped by numerous geographic dynamics.Discussion/ConclusionGeography makes it easier to understand hospital flow, which escapes the logic of current regional administrative planning. Now, with the creation of new super-regions, geography appears to be an essential tool to establish more pragmatic healthcare coverage.

This thesis addresses chemotherapy-induced peripheral neuropathy (CIPN)- a form of pain sensation and a prevalent dose-limiting side-effect of several chemotherapy agents such as vincristine, paclitaxel, and oxaliplatin. These agents are used for treating various cancers such as leukemia, brain tumor, lung cancer. Peripheral neuropathy is a numbing, tingling, and burning sensation felt in the palms and feet, which occurs due to damage to neurons (nerve cells). Prolonged CIPN can impact the quality of life of cancer patients. Occasionally, severe CIPN can result in termination of chemotherapy treatment altogether. Currently, there are no established strategies for treating CIPN due to a lack of understanding of its mechanisms. Moreover, different patients react differently to the same treatment; a subgroup of patient population may never experience CIPN, while another may experience severe CIPN for the same dose. In addition, there are no established strategies for predicting CIPN either. This thesis addresses both prediction and mechanisms of CIPN.<br><br>The following paragraphs reflect the organization of this thesis. Each paragraph introduces a research problem, the approaches taken to investigate it, and states the key results.<br><br>First, a metabolomics-based approach was used to investigate CIPN prediction. Blood samples of pediatric leukemic cancer patients who underwent treatment with a chemotherapy agent - vincristine were provided. These blood samples were analyzed at different treatment time points using mass spectrometry to obtain the metabolite profiles. Machine learning was then employed to identify specific metabolites that can predict overall susceptibility to peripheral neuropathy in those patients at specific treatment time points. Subsequently, selected metabolites were used to train machine learning models to predict neuropathy susceptibility. Finally, the models were deployed into an open-source interactive tool- <i>VIPNp</i>- that can be used by researchers to predict CIPN in new pediatric leukemic cancer patients.<br><br>Second, the focus was shifted to the pathophysiology of pain and the pain-sensing neuron; specifically: (i) investigating pain sensation mutations and the dynamics of the pain-sensing neuron, and (ii) exploring chemotherapy-induced peripheral neuropathy mechanisms. <br><br>While pain is a common experience, genetic mutations in individuals can alter their experience of pain, if any at all (certain mutations yield individuals insensitive to pain). Despite its ubiquity, we do not have a complete understanding of the onset and/or mechanisms of pain sensation. Pain sensation can be broadly classified into three types: (i) nociceptive, (ii) neuropathic, and (iii) inflammatory. Nociceptive pain arises due to a noxious external stimulus (e.g., upon touching a hot object). Neuropathic pain (which is felt as a side-effect of the aforementioned chemotherapy agents) is the numbing and tingling sensation due to nerve damage. Inflammatory pain occurs due to damage to internal tissues. Pain in any form can be characterized in terms of electrical signaling by the pain-sensing neuron. Signal transmission regarding pain occurs through generation of an electrical signal called the action potential- a peak in neuron membrane potential. Excessive firing of action potentials by a pain-sensing neuron indicates pain of a specific form and intensity. In order to investigate this electrical signaling, a mathematical modeling approach was employed. The neuron membrane was assumed to be an electrical circuit and the potential across the membrane was modeled in terms of the sodium and potassium ions flowing across it via voltage-gated sodium and potassium channels, respectively. Generation of a single action potential followed by a resting state corresponds to a normal state, whereas periodic firing of action potentials (an oscillatory state) corresponds to pain of some form and intensity <i>in vitro</i>. Therefore, an investigation into the switch from a resting state to an oscillatory state was proposed. A bifurcation theory approach (generally useful in exploring changes in qualitative behavior of a model) was used to explore possible bifurcations to explain this switch. Firstly, genetic mutations that can shift the pain sensation threshold in the pain-sensing neuron were explored. The detected bifurcation points were found to be sensitive to specific sodium channels’ model parameters, implying sodium channels’ sensitivity towards the pain sensation threshold. This was corroborated by experimental evidence in existing literature. Secondly, a theoretical analysis was performed to explore all possible bifurcations that can explain the dynamics of this pain-sensing neuron model. The mathematical modeling simulations revealed a mixture of small amplitude and large amplitude membrane potential oscillations (mixed-mode oscillations) for specific parameter values. The onset and disappearance of the oscillations were investigated. Model simulations further demonstrated that the mixed-mode oscillations solutions belonged to Farey sequences. Furthermore, regions of bistability- where stable steady state and periodic solutions coexisted- were explored. Additionally, chaotic behavior was observed for specific model parameters.<br><br>Finally, this thesis investigated the role of voltage-gated ion channels in inducing CIPN using the same mathematical model. Repetitive firing of action potentials in the absence of any external stimulus was used as an indicator of peripheral neuropathy. Bifurcation analysis revealed that specific sodium and potassium conductances can induce repetitive firing without any external stimulus. The findings were supplemented by recording the firing rate of a sensory neuron culture. Next, a chemotherapy agent - paclitaxel, was introduced in the model to investigate its potential effects on the firing behavior. It was seen that a medium dose of paclitaxel increased repetitive firing. This was supported by the firing rate recordings of the sensory neuron culture.<br><br>In summary, this thesis presents a prediction strategy for CIPN. Moreover, it presents a bifurcation theory-based framework that can be used to investigate pain sensation, in particular, genetic mutations related to pain sensation and chemotherapy-induced peripheral neuropathy. This framework can be used to find potential voltage-gated ion channels that can be targeted to control the pain sensation threshold in individuals, and can be extended to investigate various degeneracies in CIPN mechanisms to find therapeutic cures for it.

My thesis introduces the topic of nociceptive signalisation and processes involved in the formation and spreading of neuropathic pain. This study focuses on the mechanisms of nociceptive synaptic transmission mechanisms in the level of spinal dorsal horn and its modulation by paclitaxel, a chemotherapeutic drug inducing neuropathic changes. The attention is put especially on the possibility of glial activity participation in paclitaxel side effects. This idea stems from the existing hypothesis of the functional connection between TLR4 and TRPV1 receptor activity. TRPV1 is well known for its participation in chemical, thermal and nociceptive sensory transmission. Minocycline antibiotic is considered as an inhibitor of microglial activation therefore it was used for blocking neuroinflammation. The experimental part is comparing an impact of substances applied to the model of tachyphylaxis used for monitoring of nociceptive transmission changes according to decreasing activity of TRPV1 receptors. Electrophysiological recording of miniature excitatory postsynaptic currents from neurons in the Rexed laminae I. and II. of spinal dorsal horn was used. The results of my measurements show that minocycline is able to suppress acute effects of paclitaxel application in vitro if the spinal slice is incubated...

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La γ-hémolysine HlgC/HlgB et la leucocidine de Panton et Valentine (LPV) sont deux toxines formant des pores de la famille des leucotoxines bipartites (formées de deux sous-unités de classe S et F) sécrétées par S. aureus qui ciblent directement les polynucléaires neutrophiles humains (hPNNs) et qui augmentent le pouvoir pathogène de la bactérie. Ces leucotoxines sont également capables de cibler d’autres types cellulaires comme les neurones en grain du cervelet de rat et les DRG. D’abord, le composé de classe S de ces leucotoxines se fixe à un récepteur membranaire, le C5aR. Des substitutions en Alanine par mutagénèse dirigée ont permis la caractérisation d’un cluster d’acides aminés essentiels pour la fixation de LukS-PV à C5aR, localisé sur 2 boucles du domaine « Rim ». Puis, suite à la fixation de la sous-unité de classe F, HlgC/HlgB et la LPV semblent être internalisées, permettant une augmentation de la [Ca2+]i. Malgré les grandes similarités entre ces deux leucotoxines les sous-unités de classe F permettent à chaque leucotoxine d’activer des voies calciques différentes. Des dérivés du para-sulfonate-calix[4]arène ont un effet inhibiteur de ces toxines et pourraient montrer un potentiel à être utilisés comme auxiliaires aux antibiothérapies. / The γ-hemolysin HlgC/HlgB and the Panton and Valentine leukocidin (PVL) are two pore-forming toxins of the family of bicomponent leukotoxins secreted by S. aureus that directly target human neutrophils (hPNNs) and increase the pathogenicity of the bacteria. These leukotoxins also are capable of targeting other cell types such as rat cerebellar granular neurons and DRG. First, the compound of the class S binds to a membrane receptor, C5aR. Alanine-scanning mutagenesis allowed the characterization of a cluster of amino acids localized on two loops of the “Rim” domain essential for LukS-PV binding to C5aR. Then, after the class F subunit binding, HlgC/HlgB and PVL appear to be internalized, allowing an increase in [Ca2+]i. Despite the similarities between these two subunits, the class F component allows each leukotoxin to activate different pathways. Derivatives of para-sulfonato-calix[4]arene have an inhibitory effect on these toxins and may offer a potential to be used as auxiliary to antibiotherapy.