Genome-wide association analyses identify new Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility

Brugada syndrome (BrS) is a cardiac arrhythmia disorder associated with sudden death in young adults. With the exception of SCN5A, encoding the cardiac sodium channel NaV1.5, susceptibility genes remain largely unknown. Here we performed a genome-wide association meta-analysis comprising 2,820 unrelated cases with BrS and 10,001 controls, and identified 21 association signals at 12 loci (10 new). Single nucleotide polymorphism (SNP)-heritability estimates indicate a strong polygenic influence. Polygenic risk score analyses based on the 21 susceptibility variants demonstrate varying cumulative contribution of common risk alleles among different patient subgroups, as well as genetic associations with cardiac electrical traits and disorders in the general population. The predominance of cardiac transcription factor loci indicates that transcriptional regulation is a key feature of BrS pathogenesis. Furthermore, functional studies conducted on MAPRE2, encoding the microtubule plus-end binding protein EB2, point to microtubule-related trafficking effects on NaV1.5 expression as a new underlying molecular mechanism. Taken together, these findings broaden our understanding of the genetic architecture of BrS and provide new insights into its molecular underpinnings

Genome-wide association analyses identify new Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility.

Brugada syndrome (BrS) is a cardiac arrhythmia disorder associated with sudden death in young adults. With the exception of SCN5A, encoding the cardiac sodium channel Na1.5, susceptibility genes remain largely unknown. Here we performed a genome-wide association meta-analysis comprising 2,820 unrelated cases with BrS and 10,001 controls, and identified 21 association signals at 12 loci (10 new). Single nucleotide polymorphism (SNP)-heritability estimates indicate a strong polygenic influence. Polygenic risk score analyses based on the 21 susceptibility variants demonstrate varying cumulative contribution of common risk alleles among different patient subgroups, as well as genetic associations with cardiac electrical traits and disorders in the general population. The predominance of cardiac transcription factor loci indicates that transcriptional regulation is a key feature of BrS pathogenesis. Furthermore, functional studies conducted on MAPRE2, encoding the microtubule plus-end binding protein EB2, point to microtubule-related trafficking effects on Na1.5 expression as a new underlying molecular mechanism. Taken together, these findings broaden our understanding of the genetic architecture of BrS and provide new insights into its molecular underpinnings

Analyse systémique des sous-populations de cellules immunitaires et réseaux de communication intercellulaires dans les tumeurs du sein humaines

Cell-to-cell communication is at the basis of the higher order organisation observed in tissues, organs, and organism. Understanding cell-to-cell communication, and its underlying mechanisms that drive the development of cancer is essential. Breast tumor microenvironment (TME) is composed of a great cellular diversity, such as endothelial, stromal or immune cells that can influence tumor progression as well as its response to treatment. Among the different immune cell populations, dendritic cells (DCs) subsets integrate signals from their microenvironment and are subsequently essential in orchestrating specific immune response through T cell activation. However, the differential function of these subsets, and their interactions within the TME remain poorly described. My main thesis objective was to understand the impact of the breast TME on DC subsets using systems-level analysis. We used RNA sequencing to systematically analyze the transcriptomes of tumor-infiltrating plasmacytoid pre-DCs (pDCs), cell populations enriched for type 1 classical DCs (cDC1e), type 2 classical DCs (cDC2s), CD14+DCs, and monocytes-macrophages from human primary luminal breast cancer and triple-negative breast cancer. We found that transcriptional reprogramming of tumor-infiltrating antigen-presenting cells is subset-specific. These results suggest a complex interplay between ontogeny and tissue imprinting in conditioning DC diversity and function in cancer.As a second objective, I aimed at studying the cellular communications in order to understand how cells integrate signals from their environment. I developed ICELLNET, a tool to reconstruct intercellular communication networks. This original quantitative method, integrating ligand-receptor interactions and cell type specific gene expression, can be automatically applied to any cell population level transcriptomic profile opening perspectives of application in several disease contexts and biology fields.La communication intercellulaire est à la base de l'organisation d'ordre supérieur observée dans les tissus, les organes et l'organisme. Comprendre la communication intercellulaire et ses mécanismes sous-jacents qui sont impliqués dans le cancer est essentiel. Le microenvironnement des tumeurs du sein est composé d'une grande diversité cellulaire, telle que les cellules endothéliales, stromales ou immunitaires, qui peuvent influencer la progression tumorale ainsi que la réponse au traitement. Parmi les différentes populations de cellules immunitaires, les sous-populations de cellules dendritiques (DCs) intègrent les signaux du microenvironnement puis joue un rôle critique en orchestrant le développement d’une réponse immunitaire spécifique par activation des lymphocytes T. Cependant, les différentes fonctions de ces sous-populations et leurs interactions au sein du microenvironnement tumoral restent mal décrites. L’objectif principal de ma thèse a été de comprendre l'impact du microenvironnement tumorale du sein sur les sous-populations de DCs par analyse systémique. Nous avons utilisé le séquençage de l'ARN pour analyser systématiquement les transcriptomes des pré-DC plasmacytoïdes infiltrant les tumeurs (pDC), les populations cellulaires enrichies pour les DC classiques de type 1 (cDC1e), les DC classiques de type 2, les DC CD14+ et les monocytes-macrophages chez des patientes atteintes de cancer primitif du sein luminal et cancer du sein triple négatif. Nous avons constaté que la reprogrammation transcriptionnelle des cellules présentatrices d’antigène infiltrant la tumeur est spécifique à un sous-ensemble. Ces résultats suggèrent une interaction complexe entre l'ontogenèse et l'empreinte tissulaire dans le conditionnement de la diversité des DCs et de leur fonction dans le cancer.En second lieu, j'ai cherché à étudier les communications intercellulaires afin de comprendre comment les cellules intègrent les signaux de leur environnement. Nous avons développé ICELLNET, un outil pour reconstruire les réseaux de communication intercellulaires. Cette méthode quantitative originale, intégrant les interactions ligand-récepteur et l'expression génique spécifique à un type cellulaire, peut être appliquée automatiquement à tous profils transcriptomiques de population cellulaire, que ce soit dans divers contextes pathologiques ou d’autres domaines de la biologie

La migraine (données épidémiologiques et rôle du pharmacien)

TOULOUSE3-BU Santé-Centrale (315552105) / SudocSudocFranceF

Global analysis of VHHs framework regions with a structural alphabet: VHH FRs structures

International audienceThe VHHs are antigen-binding region/domain of camelid heavy chain antibodies (HCAb). They have many interesting biotechnological and biomedical properties due to their small size, high solubility and stability, and high affinity and specificity for their antigens. HCAb and classical IgGs are evolutionary related and share a common fold. VHHs are composed of regions considered as constant, called the frameworks (FRs) connected by Complementarity Determining Regions (CDRs), a highly variable region that provide interaction with the epitope. Actually, no systematic structural analyses had been performed on VHH structures despite a significant number of structures. This work is the first study to analyse the structural diversity of FRs of VHHs. Using a structural alphabet that allows approximating the local conformation, we show that each of the four FRs do not have a unique structure but exhibit many structural variant patterns. Moreover, no direct simple link between the local conformational change and amino acid composition can be detected. These results indicate that long-range interactions affect the local conformation of FRs and impact the building of structural models

Systems analysis of human T helper17 cell differentiation uncovers distinct time-regulated transcriptional modules

T helper (Th) 17 cells protect from infections and are pathogenic in autoimmunity. While human Th17 cell differentiation has been defined, the global and stepwise transcriptional changes accompanying this process remain uncharacterized. Herein, by performing transcriptome analysis of human Th17 cells, we uncovered three time-regulated modules: early, involving exclusively "signaling pathways" genes; late, characterized by response to infections; and persistent, involving effector immune functions. To assign them an inflammatory or regulatory potential, we compared Th17 cells differentiated in presence or absence of interleukin (IL)-1β, respectively. Most inflammatory genes belong to the persistent module, whereas regulatory genes are lately or persistently induced. Among inflammatory genes, we identified the effector molecules IL17A, IL17F, IL26, IL6, interferon (IFN)G, IFNK, LTA, IL1A, platelet-derived growth factor (PDGF) A and the transcriptional regulators homeodomain-only protein homeobox (HOPX) and sex-determining-region-Y-box (SOX)2, whose expression was independently validated. This study provides an integrative representation of the stepwise human Th17 differentiation program and offers new perspectives toward therapeutic targeting of Th17-related autoimmune diseases

Age-dependency of molecular diffusion in the human anterior lens capsule assessed using fluorescence recovery after photobleaching

To quantify the partition coefficient and the diffusion coefficient of metal-carrier proteins in the human lens capsule as a function of age. Whole lenses from human donors were incubated overnight in a solution of fluorescently labeled transferrin, albumin, or ceruloplasmin. In the central plane of the capsule thickness, fluorescence recovery after photobleaching (FRAP) experiments were conducted to measure the diffusion of the protein within the lens capsule. The anterior portion of the lens was recorded before the FRAP experiments to locate the boundaries of the anterior lens capsule and to measure the partition coefficient of the labeled proteins. The partition coefficient (P), the time to half maximum recovery of the fluorescent intensity (τ ), and the diffusion coefficient (D) for each protein were analyzed as a function of donor age. There was no statistically significant relationship between the half maximum recovery time or the diffusion coefficient and age for transferrin (molecular weight [MW]=79.5 kDa, τ =17.26±4.840 s, D=0.17±0.05 μm /s), serum albumin (MW=66.5 kDa, τ =18.45±6.110 s, D=0.17±0.06 μm /s), or ceruloplasmin (MW=120 kDa, τ =36.57±5.660 s, D=0.08±0.01 μm /s). As expected, the larger protein (ceruloplasmin) took longer to recover fluorescent intensity due to its slower movement within the lens capsule. The partition coefficient statistically significantly increased with age for each protein (P : 0.09-0.71, P : 0.42-0.95, P : 0.19-1.17). The diffusion of heavy-metal protein carriers within the anterior lens capsule is not dependent on age, but it is dependent on the size of the protein. The permeability of the lens capsule to these heavy-metal protein carriers increases with age, suggesting that there will be a higher concentration of heavy metals in the older lens. This behavior may favor the formation of cataract, because heavy metals enhance protein oxidation through the Fenton reaction

Discrete analysis of camelid variable domains: sequences, structures, and in-silico structure prediction: Sequence-structure characteristics of VHH domains

International audienceAntigen binding by antibodies requires precise orientation of the complementarity- determining region (CDR) loops in the variable domain to establish the correct contact surface. Members of the family Camelidae have a modified form of immunoglobulin gamma (IgG) with only heavy chains, called Heavy Chain only Antibodies (HCAb). Antigen binding in HCAbs is mediated by only 3 CDR loops from the single variable domain (VHH) at the N-terminus of each heavy chain. This feature of the VHH, along with other important features, e.g. easy expression, small size, thermo-stability and hydrophilicity, made them promising candidates for therapeutics and diagnostics. Thus, to design better VHH domains, it is important to thoroughly understand their sequence and structure characteristics and relationships. In this study sequence, characteristics of VHH have been analysed in depth, along with their structural features using innovative approaches, namely a structural alphabet. An elaborate summary of various studies proposing structural models of VHHs showed diversity in the algorithms used. Finally, a case study to elucidate the differences in structural models from single and multiple templates is presented. In this case study, along with the above-mentioned aspects of VHH, an exciting view of various factors in structure prediction of VHH, like template framework selection, is also discussed

Regulation of PPARα by APP in Alzheimer disease affects the pharmacological modulation of synaptic activity.

Among genetic susceptibility loci associated with late-onset Alzheimer disease (LOAD), genetic polymorphisms identified in genes encoding lipid carriers led to the hypothesis that a disruption of lipid metabolism could promote disease progression. We previously reported that amyloid precursor protein (APP) involved in Alzheimer disease (AD) physiopathology impairs lipid synthesis needed for cortical networks' activity and that activation of peroxisome proliferator-activated receptor α (PPARα), a metabolic regulator involved in lipid metabolism, improves synaptic plasticity in an AD mouse model. These observations led us to investigate a possible correlation between PPARα function and full-length APP expression. Here, we report that PPARα expression and activation were inversely related to APP expression both in LOAD brains and in early-onset AD cases with a duplication of the APP gene, but not in control human brains. Moreover, human APP expression decreased PPARA expression and its related target genes in transgenic mice and in cultured cortical cells, while opposite results were observed in APP-silenced cortical networks. In cultured neurons, APP-mediated decrease or increase in synaptic activity was corrected by a PPARα-specific agonist and antagonist, respectively. APP-mediated control of synaptic activity was abolished following PPARα deficiency, indicating a key function of PPARα in this process