Dipeptidyl peptidase IV (DPP IV) and related molecules in type 2 diabetes

Dipeptidyl peptidase IV (DPP IV) is a widely distributed physiological enzyme that can be found solubilized in blood, or membrane-anchored in tissues. DPP IV and related dipeptidase enzymes cleave a wide range of physiological peptides and have been associated with several disease processes including Crohn's disease, chronic liver disease, osteoporosis, multiple sclerosis, eating disorders, rheumatoid arthritis, cancer, and of direct relevance to this review, type 2 diabetes. Here, we place particular emphasis on two peptide substrates of DPP IV with insulin-releasing and antidiabetic actions namely, glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP). The rationale for inhibiting DPP IV activity in type 2 diabetes is that it decreases peptide cleavage and thereby enhances endogenous incretin hormone activity. A multitude of novel DPP IV inhibitor compounds have now been developed and tested. Here we examine the information available on DPP IV and related enzymes, review recent preclinical and clinical data for DPP IV inhibitors, and assess their clinical significance.

Reducing suffering in experimental autoimmune encephalomyelitis (EAE)

This report is based on discussions and submissions from an expert working group consisting of veterinarians, animal care staff and scientists with expert knowledge relevant to the field. It aims to facilitate the implementation of the Three Rs (replacement, reduction and refinement) in the use of animal models or procedures involving experimental autoimmune encephalomyelitis (EAE), an experimental model used in multiple sclerosis research. The emphasis is on refinement since this has the greatest potential for immediate implementation. Specific welfare issues are identified and discussed, and practical measures are proposed to reduce animal use and suffering. Some general issues for refinement are summarised to help achieve this, with more detail provided on a range of specific measures to reduce suffering. © 2013 Elsevier Inc.

Increases in renal ε-(γ-glutamyl)-lysine crosslinks result from compartment-specific changes in tissue transglutaminase in early experimental diabetic nephropathy:Pathologic implications

Diabetic nephropathy (DN) is characterized by an early, progressive expansion and sclerosis of the glomerular mesangium leading to glomerulosclerosis. This is associated with parallel fibrosis of the renal interstitium. In experimental renal scarring, the protein cross-linking enzyme, tissue transglutaminase (tTg), is up-regulated and externalized causing an increase in its crosslink product, e-(γ-glutamyl)-lysine, in the extracellular space. This potentially contributes to the extracellular matrix (ECM) accumulation central to tissue fibrosis by increasing deposition and inhibiting breakdown. We investigated if a similar mechanism may contribute to the ECM expansion characteristic of DN using the rat streptozotocin model over 120 days. Whole kidney e-(γ-glutamyl)-lysine (HPLC analysis) was significantly increased from Day 90 (+337%) and peaked at Day 120 (+650%) (p <0.05). Immunofluorescence showed this increase to be predominantly extracellular in the peritubular interstitial space, but also in individual glomeruli. Total kidney transglutaminase (Tg) was not elevated. However, using a Tg in situ activity assay, increased Tg was detected in both the extracellular interstitial space and glomeruli by Day 60, with a maximal 53% increase at Day 120 (p <0.05). Using a specific anti-tTg antibody, immunohistochemistry showed a similar increase in extracellular enzyme in the interstitium and glomeruli. To biochemically characterize glomerular changes, glomeruli were isolated by selective sieving. In line with whole kidney measurement, there was an increase in glomerular e-(γ-glutamyl) lysine (+ 361%); however, in the glomeruli this was associated with increases in Tg activity (+228%) and tTg antigen by Western blotting (+215%). Importantly, the ratio of glomerular e-(γ-glutamyl) lysine to hydroxyproline increased by 2.2-fold. In DN, changes in the kidney result in increased translocation of tTg to the extracellular environment where high Ca2+ and low GTP levels allow its activation. In the tubulointerstitium this is independent of increased tTg production, but dependent in the glomerulus. This leads to excessive ECM cross-linking, contributing to the renal fibrosis characteristic of progressive DN.

Thiol redox homeostasis in neurodegenerative disease

This review provides an overview of the biochemistry of thiol redox couples and the significance of thiol redox homeostasis in neurodegenerative disease. The discussion is centred on cysteine/cystine redox balance, the significance of the xc- cystine-glutamate exchanger and the association between protein thiol redox balance and neurodegeneration, with particular reference to Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis and glaucoma. The role of thiol disulphide oxidoreductases in providing neuroprotection is also discussed.

Oligodendrocyte pathology in neurodegenerative disease

Oligodendrocytes have multiple functions in the central nervous system including mechanical support of neurons, production of myelin sheaths, and uptake and inactivation of chemical neurotransmitters released by neurons. Consequently, oligodendrocytes could be involved in the pathology of a number of neurodegenerative diseases. Although, the molecular mechanisms involved require further elucidation, it is likely that oligodendrocyte dysfunction is important in Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS), and multiple sclerosis (MS). In addition, abnormal protein aggregates in the form of oligodendrocyte inclusions (OI) have been observed in several other disorders, most notable in multiple system atrophy (MSA), in which the glial cytoplasmic inclusion (GCI) is the ‘signature’ pathology of the disease. OI have also been identified in argyrophilic grain disease (AGD), progressive supranuclear palsy (PSP) (Armstrong et al 2007), and various forms of frontotemporal lobar degeneration (FTLD) (Armstrong et al 2010), although their role in the pathology of these disorders is less clear. It is likely that future research will expand the range of disorders in which oligodendrocytes play a significant role in neurodegeneration.

Survival in the pre-senile dementia frontotemporal lobar degeneration with TDP-43 proteinopathy:effects of genetic, demographic and neuropathological variables

Factors associated with survival were studied in 84 neuropathologically documented cases of the pre-senile dementia frontotemporal dementia lobar degeneration (FTLD) with transactive response (TAR) DNA-binding protein of 43 kDa (TDP-43) proteinopathy (FTLD-TDP). Kaplan-Meier survival analysis estimated mean survival as 7.9 years (range: 1-19 years, SD = 4.64). Familial and sporadic cases exhibited similar survival, including progranulin (GRN) gene mutation cases. No significant differences in survival were associated with sex, disease onset, Braak disease stage, or disease subtype, but higher survival was associated with lower post-mortem brain weight. Survival was significantly reduced in cases with associated motor neuron disease (FTLD-MND) but increased with Alzheimer's disease (AD) or hippocampal sclerosis (HS) co-morbidity. Cox regression analysis suggested that reduced survival was associated with increased densities of neuronal cytoplasmic inclusions (NCI) while increased survival was associated with greater densities of enlarged neurons (EN) in the frontal and temporal lobes. The data suggest that: (1) survival in FTLD-TDP is more prolonged than typical in pre-senile dementia but shorter than some clinical subtypes such as the semantic variant of primary progressive aphasia (svPPA), (2) MND co-morbidity predicts poor survival, and (3) NCI may develop early and EN later in the disease. The data have implications for both neuropathological characterization and subtyping of FTLD-TDP.

Synthesis of azulenylsilane nitrones as diagnostic tools for superoxide detection

The superoxide radical is considered to play important roles in physiological processes as well as in the genesis of diverse cytotoxic conditions such as cancer, various cardiovascular disorders and neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD) and Alzheimer’s disease (AD). The detection and quantification of superoxide within cells is of critical importance to understand biological roles of superoxide and to develop preventive strategies against free radical-mediated diseases. Cyclic nitrone spin traps such as DMPO, EMPO, DEPMPO, BMPO and their derivatives have been widely used in conjunction with ESR spectroscopy to detect cellular superoxide with some success. However, the formation of unstable superoxide adducts from the reaction of cyclic nitrones with superoxide is a stumbling block in detecting superoxide by using electron spin resonance (ESR). A chemiluminescent probe, lucigenin, and fluorogenic probes, hydroethidium and MitoSox, are the other frequently used methods in detecting superoxide. However, luceginen undergoes redox-cycling producing superoxide by itself, and hydroethidium and MitoSox react with other oxidants apart from superoxide forming red fluorescent products contributing to artefacts in these assays. Hence, both methods were deemed to be inappropriate for superoxide detection. In this study, an effective approach, a selective mechanism-based colorimetric detection of superoxide anion has been developed by using silylated azulenyl nitrones spin traps. Since a nitrone moiety and an adjacent silyl group react readily with radicals and oxygen anions respectively, such nitrones can trap superoxide efficiently because superoxide is both a radical and an oxygen anion. Moreover, the synthesized nitrone is designed to be triggered solely by superoxide and not by other commonly observed oxygen radicals such as hydroxyl radical, alkoxyl radicals and peroxyl radical. In vitro studies have shown that these synthesized silylated azylenyl nitrones and the mitochondrial-targeted guanylhydrazone analog can trap superoxide efficiently yielding UV-vis identifiable and even potentially fluorescence-detectable orange products. Therefore, the chromotropic detection of superoxide using these nitrones can be a promising method in contrast to other available methods.

A practical system for hands-off computer interaction based on electromyogram (EMG)/eye gaze tracking (EGT)

Effective interaction with personal computers is a basic requirement for many of the functions that are performed in our daily lives. With the rapid emergence of the Internet and the World Wide Web, computers have become one of the premier means of communication in our society. Unfortunately, these advances have not become equally accessible to physically handicapped individuals. In reality, a significant number of individuals with severe motor disabilities, due to a variety of causes such as Spinal Cord Injury (SCI), Amyothrophic Lateral Sclerosis (ALS), etc., may not be able to utilize the computer mouse as a vital input device for computer interaction. The purpose of this research was to further develop and improve an existing alternative input device for computer cursor control to be used by individuals with severe motor disabilities. This thesis describes the development and the underlying principle for a practical hands-off human-computer interface based on Electromyogram (EMG) signals and Eye Gaze Tracking (EGT) technology compatible with the Microsoft Windows operating system (OS). Results of the software developed in this thesis show a significant improvement in the performance and usability of the EMG/EGT cursor control HCI.

Fuzzy angel: uma arquitetura distribuída de telemedicina para monitoramento de pacientes com esclerose lateral amiotrófica

The Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by progressive muscle weakness that leads the patient to death, usually due to respiratory complications. Thus, as the disease progresses the patient will require noninvasive ventilation (NIV) and constant monitoring. This paper presents a distributed architecture for homecare monitoring of nocturnal NIV in patients with ALS. The implementation of this architecture used single board computers and mobile devices placed in patient’s homes, to display alert messages for caregivers and a web server for remote monitoring by the healthcare staff. The architecture used a software based on fuzzy logic and computer vision to capture data from a mechanical ventilator screen and generate alert messages with instructions for caregivers. The monitoring was performed on 29 patients for 7 con-tinuous hours daily during 5 days generating a total of 126000 samples for each variable monitored at a sampling rate of one sample per second. The system was evaluated regarding the rate of hits for character recognition and its correction through an algorithm for the detection and correction of errors. Furthermore, a healthcare team evaluated regarding the time intervals at which the alert messages were generated and the correctness of such messages. Thus, the system showed an average hit rate of 98.72%, and in the worst case 98.39%. As for the message to be generated, the system also agreed 100% to the overall assessment, and there was disagreement in only 2 cases with one of the physician evaluators.

Fuzzy angel: uma arquitetura distribuída de telemedicina para monitoramento de pacientes com esclerose lateral amiotrófica

The Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by progressive muscle weakness that leads the patient to death, usually due to respiratory complications. Thus, as the disease progresses the patient will require noninvasive ventilation (NIV) and constant monitoring. This paper presents a distributed architecture for homecare monitoring of nocturnal NIV in patients with ALS. The implementation of this architecture used single board computers and mobile devices placed in patient’s homes, to display alert messages for caregivers and a web server for remote monitoring by the healthcare staff. The architecture used a software based on fuzzy logic and computer vision to capture data from a mechanical ventilator screen and generate alert messages with instructions for caregivers. The monitoring was performed on 29 patients for 7 con-tinuous hours daily during 5 days generating a total of 126000 samples for each variable monitored at a sampling rate of one sample per second. The system was evaluated regarding the rate of hits for character recognition and its correction through an algorithm for the detection and correction of errors. Furthermore, a healthcare team evaluated regarding the time intervals at which the alert messages were generated and the correctness of such messages. Thus, the system showed an average hit rate of 98.72%, and in the worst case 98.39%. As for the message to be generated, the system also agreed 100% to the overall assessment, and there was disagreement in only 2 cases with one of the physician evaluators.

Adaptive Brain-Computer Interface Systems For Communication in People with Severe Neuromuscular Disabilities

Brain-computer interfaces (BCI) have the potential to restore communication or control abilities in individuals with severe neuromuscular limitations, such as those with amyotrophic lateral sclerosis (ALS). The role of a BCI is to extract and decode relevant information that conveys a user's intent directly from brain electro-physiological signals and translate this information into executable commands to control external devices. However, the BCI decision-making process is error-prone due to noisy electro-physiological data, representing the classic problem of efficiently transmitting and receiving information via a noisy communication channel.

This research focuses on P300-based BCIs which rely predominantly on event-related potentials (ERP) that are elicited as a function of a user's uncertainty regarding stimulus events, in either an acoustic or a visual oddball recognition task. The P300-based BCI system enables users to communicate messages from a set of choices by selecting a target character or icon that conveys a desired intent or action. P300-based BCIs have been widely researched as a communication alternative, especially in individuals with ALS who represent a target BCI user population. For the P300-based BCI, repeated data measurements are required to enhance the low signal-to-noise ratio of the elicited ERPs embedded in electroencephalography (EEG) data, in order to improve the accuracy of the target character estimation process. As a result, BCIs have relatively slower speeds when compared to other commercial assistive communication devices, and this limits BCI adoption by their target user population. The goal of this research is to develop algorithms that take into account the physical limitations of the target BCI population to improve the efficiency of ERP-based spellers for real-world communication.

In this work, it is hypothesised that building adaptive capabilities into the BCI framework can potentially give the BCI system the flexibility to improve performance by adjusting system parameters in response to changing user inputs. The research in this work addresses three potential areas for improvement within the P300 speller framework: information optimisation, target character estimation and error correction. The visual interface and its operation control the method by which the ERPs are elicited through the presentation of stimulus events. The parameters of the stimulus presentation paradigm can be modified to modulate and enhance the elicited ERPs. A new stimulus presentation paradigm is developed in order to maximise the information content that is presented to the user by tuning stimulus paradigm parameters to positively affect performance. Internally, the BCI system determines the amount of data to collect and the method by which these data are processed to estimate the user's target character. Algorithms that exploit language information are developed to enhance the target character estimation process and to correct erroneous BCI selections. In addition, a new model-based method to predict BCI performance is developed, an approach which is independent of stimulus presentation paradigm and accounts for dynamic data collection. The studies presented in this work provide evidence that the proposed methods for incorporating adaptive strategies in the three areas have the potential to significantly improve BCI communication rates, and the proposed method for predicting BCI performance provides a reliable means to pre-assess BCI performance without extensive online testing.

Need To Be Adored

Faced with a diagnosis of multiple sclerosis, I began with the objective of discovering methods for creating art that were still accessible to me. Along the way, I encountered others who had travelled this road before me. Their experiences led me to examine, not only my art, but also my political orientations, my love obligations and my transitioning self. In my varied art pieces, I conjure something from diverse sources and different worldviews, including contemporary feminist performance art and disability cultural theory. My thesis is a project. I make things: puppets, videos and performances, which included the exhibition, Need to be Adored (2014), staged in the digital media lab of the Isabel Bader Centre for the Performing Arts in Kingston, Ontario, Canada. The exhibition introduced thirteen of my puppets and a thirty-two-minute looped video. Following the exhibition, I put the puppets away and spent two years reading. Finally, taking my inspiration from Carolyn Ellis’s The Autoethnographic I (Ellis 2004), I turned my processes into words. I wrote out my experiences. I created an alternative text of my identity from an able-bodied cis-identified woman into a disabled trans-feminist artist academic. The writing required an uncomfortably intimate examination of my life. Nothing less than complete honesty would allow me to understand my new location. The resulting text is a lyrical and sometimes whimsical flow of consciousness that invites the reader to imagine what it might be like to engage in such a candid review of everything one holds close to one’s heart. Contained within are all my identities. In this text I let some out. This is a story of unsettling. I am working on my art practices, creating a cast of characters from cloth. Puppets. El becomes the exulted main character of a fictional accounting. She uncovers her queer roots and begins to see that she is at the centre of a very strange geography. Her desire to make film is revealed as she re-remembers her childhood through a disability lens.

The neurotoxin β-N-methylamino-L-alanine (BMAA) : Sources, bioaccumulation and extraction procedures

β-methylamino-L-alanine (BMAA) is a neurotoxin linked to neurodegeneration, which is manifested in the devastating human diseases amyotrophic lateral sclerosis, Alzheimer’s and Parkinson’s disease. This neurotoxin is known to be produced by almost all tested species within the cyanobacterial phylum including free living as well as the symbiotic strains. The global distribution of the BMAA producers ranges from a terrestrial ecosystem on the Island of Guam in the Pacific Ocean to an aquatic ecosystem in Northern Europe, the Baltic Sea, where annually massive surface blooms occur. BMAA had been shown to accumulate in the Baltic Sea food web, with highest levels in the bottom dwelling fish-species as well as in mollusks. One of the aims of this thesis was to test the bottom-dwelling bioaccumulation hypothesis by using a larger number of samples allowing a statistical evaluation. Hence, a large set of fish individuals from the lake Finjasjön, were caught and the BMAA concentrations in different tissues were related to the season of catching, fish gender, total weight and species. The results reveal that fish total weight and fish species were positively correlated with BMAA concentration in the fish brain. Therefore, significantly higher concentrations of BMAA in the brain were detected in plankti-benthivorous fish species and heavier (potentially older) individuals. Another goal was to investigate the potential production of BMAA by other phytoplankton organisms. Therefore, diatom cultures were investigated and confirmed to produce BMAA, even in higher concentrations than cyanobacteria. All diatom cultures studied during this thesis work were show to contain BMAA, as well as one dinoflagellate species. This might imply that the environmental spread of BMAA in aquatic ecosystems is even higher than previously thought. Earlier reports on the concentration of BMAA in different organisms have shown highly variable results and the methods used for quantification have been intensively discussed in the scientific community. In the most recent studies, liquid chromatography-tandem mass spectrometry (LC-MS/MS) has become the instrument of choice, due to its high sensitivity and selectivity. Even so, different studies show quite variable concentrations of BMAA. In this thesis, three of the most common BMAA extraction protocols were evaluated in order to find out if the extraction could be one of the sources of variability. It was found that the method involving precipitation of proteins using trichloroacetic acid gave the best performance, complying with all in-house validation criteria. However, extractions of diatom and cyanobacteria cultures with this validated method and quantified using LC-MS/MS still resulted in variable BMAA concentrations, which suggest that also biological reasons contribute to the discrepancies. The current knowledge on the environmental factors that can induce or reduce BMAA production is still limited. In cyanobacteria, production of BMAA was earlier shown to be negative correlated with nitrogen availability – both in laboratory cultures as well as in natural populations. Based on this observation, it was suggested that in unicellular non-diazotrophic cyanobacteria, BMAA might take part in nitrogen metabolism. In order to find out if BMAA has a similar role in diatoms, BMAA was added to two diatom species in culture, in concentrations corresponding to those earlier found in the diatoms. The results suggest that BMAA might induce a nitrogen starvation signal in diatoms, as was earlier observed in cyanobacteria. However, diatoms recover shortly by the extracellular presence of excreted ammonia. Thus, also in diatoms, BMAA might be involved in the nitrogen balance in the cell.

Étude de la toxicité causée par le gène C9orf72 dans la Sclérose Latérale Amyotrophique

La Sclérose Latérale Amyotrophique (SLA) est une maladie neurodégénérative qui affecte les neurones moteurs. 10% des cas sont des cas familiaux et l’étude de ces familles a mené à la découverte de plusieurs gènes pouvant causer la SLA, incluant SOD1, TARDBP et FUS. L’expansion de la répétition GGGGCC dans le gène C9orf72 est, à ce jour, la cause la plus connue de SLA. L’impact de cette expansion est encore méconnu et il reste à déterminer si la toxicité est causée par un gain de fonction, une perte de fonction ou les deux. Plusieurs gènes impliqués dans la SLA sont conservés entre le nématode Caenorhabditis elegans et l’humain. C. elegans est un vers transparent fréquemment utilisé pour des études anatomiques, comportementales et génétiques. Il possède une lignée cellulaire invariable qui inclue 302 neurones. Aussi, les mécanismes de réponse au stress ainsi que les mécanismes de vieillissement sont très bien conservés entre ce nématode et l’humain. Donc, notre groupe, et plusieurs autres, ont utilisé C. elegans pour étudier plusieurs aspects de la SLA. Pour mieux comprendre la toxicité causée par l’expansion GGGGCC de C9orf72, nous avons développé deux modèles de vers pour étudier l’impact d’une perte de fonction ainsi que d’un gain de toxicité de l’ARN. Pour voir les conséquences d’une perte de fonction, nous avons étudié l’orthologue de C9orf72 dans C. elegans, alfa-1 (ALS/FTD associated gene homolog). Les vers mutants alfa-1(ok3062) développent des problèmes moteurs causant une paralysie et une dégénérescence spécifique des neurones moteurs GABAergiques. De plus, les mutants sont sensibles au stress osmotique qui provoque une dégénérescence. D’autre part, l’expression de la séquence d’ARN contenant une répétition pathogénique GGGGCC cause aussi des problèmes moteurs et de la dégénérescence affectant les neurones moteurs. Nos résultats suggèrent donc qu’un gain de toxicité de l’ARN ainsi qu’une perte de fonction de C9orf72 sont donc toxiques pour les neurones. Puisque le mouvement du vers peut être rapidement évalué en cultivant les vers dans un milieu liquide, nous avons développé un criblage de molécules pouvant affecter le mouvement des vers mutants alfa-1 en culture liquide. Plus de 4 000 composés ont été évalués et 80 ameliore la mobilité des vers alfa-1. Onze molécules ont aussi été testées dans les vers exprimant l’expansion GGGGCC et huit diminuent aussi le phénotype moteur de ces vers. Finalement, des huit molécules qui diminent la toxicité causée par la perte de fonction de C9orf72 et la toxicité de l’ARN, deux restaurent aussi l’expression anormale de plusieurs transcrits d’ARN observée dans des cellules dérivées de patient C9orf72. Avec ce projet, nous voulons identifier des molécules pouvant affecter tous les modes de toxicité de C9orf72 et possiblement ouvrir de nouvelles avenues thérapeutiques

Rôle des cellules myéloïdes dans des modèles murins de la neuroinflammation

L’inflammation du système nerveux central (SNC), appelée neuroinflammation, est un aspect inséparable des maladies neurodégénératives chroniques comme la sclérose en plaques (SEP) et la maladie d’Alzheimer (MA). La caractérisation de la signature moléculaire spécifique à chaque population cellulaire dans des pathologies distinctes va aboutir à la compréhension et donc au contrôle de la neuroinflammation. Le présent ouvrage a pour but de mieux comprendre les mécanismes d’action de deux types cellulaires myéloïdes, la microglie et les neutrophiles, au cours des affections neuroinflammatoires du SNC. Ainsi, le premier objectif a été de comprendre le rôle des cytokines IL-36 dans la neuroinflammation établie au cours de l’encéphalomyélite auto-immune expérimentale (EAE). Dans une seconde partie, l’objectif a été d’explorer l’action du GPR84, un récepteur couplé à la protéine G spécifique à la microglie dans le SNC, lors de l’altération des fonctions cérébrales dans un modèle de souris transgénique de la MA. Nos résultats démontrent que la voie de signalisation IL-36/IL36R est augmentée dans trois modèles différents de l’EAE, mais ne contribue pas au développement ni à la progression de la pathologie. En utilisant l’approche de cytométrie en flux nous identifions les neutrophiles comme la source majeure de l’IL-36γ. De plus, nous démontrons que la microglie exprime l’IL-36R et sa stimulation par l’IL-36γ conduit à la production de cytokines pro-inflammatoires. Dans un second temps, nous caractérisons l’augmentation de l’expression du GPR84 par la microglie dans le modèle murin de la MA APP/PS1. Ainsi, le croisement de ces souris avec des souris déficientes en GPR84 diminue l’activation et le recrutement de la microglie autour des plaques d’amyloïde-β et accélère le déclin cognitif. Nos études impliquent le GPR84 comme un acteur important dans le maintien de l’homéostasie neuronale puisque son absence favorise la dégénérescence des dendrites dans le cerveau. Les résultats obtenus dans cette thèse apportent de nouveaux éléments qui peuvent contribuer au développement des thérapies qui ciblent les cellules myéloïdes dans diverses pathologies du SNC. Ces données ouvrent de nouvelles pistes pour élucider le rôle de l’IL-36γ dans des maladies neurodégénératives. Enfin, pour une première fois, nous présentons un modèle murin permettant d’identifier le(s) ligand(s) endogène(s) du GPR84, une cible thérapeutique potentielle pour la prévention et/ou le traitement de la MA.