Paving the Way to Precision Nutrition Through Metabolomics

Nutrition is an interdisciplinary science that studies the interactions of nutrients with the body in relation to maintenance of health and well-being. Nutrition is highly complex due to the underlying various internal and external factors that could model it. Thus, hacking this complexity requires more holistic and network-based strategies that could unveil these dynamic system interactions at both time and space scales. The ongoing omics era with its high-throughput molecular data generation is paving the way to embrace this complexity and is deeply reshaping the whole field of nutrition. Understanding the future paths of nutrition science is of importance from both translational and clinical perspectives. Basic nutrients which might include metabolites are important in nutrition science. Moreover, metabolites are key biological communication channels and represent an appealing functional readout at the interface of different major influential factors that define health and disease. Metabolomics is the technology that enables holistic and systematic analyses of metabolites in a biological system. Hence, given its intrinsic functionality, its tight connection to metabolism and its high clinical actionability potential, metabolomics is a very appealing technology for nutrition science. The ultimate goal is to deliver a tailored and clinically relevant nutritional recommendations and interventions to achieve precision nutrition. This work intends to present an update on the applications of metabolomics to personalize nutrition in translational and clinical settings. It also discusses the current conceptual shifts that are remodeling clinical nutrition practices in this Precision Medicine era. Finally, perspectives of clinical nutrition in the ever-growing, data-driven healthcare landscape are presented

Integration of molecular profiles in a longitudinal wellness profiling cohort

An important aspect of precision medicine is to probe the stability in molecular profiles among healthy individuals over time. Here, we sample a longitudinal wellness cohort with 100 healthy individuals and analyze blood molecular profiles including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell profiling, complemented with gut microbiota composition and routine clinical chemistry. Overall, our results show high variation between individuals across different molecular readouts, while the intra-individual baseline variation is low. The analyses show that each individual has a unique and stable plasma protein profile throughout the study period and that many individuals also show distinct profiles with regards to the other omics datasets, with strong underlying connections between the blood proteome and the clinical chemistry parameters. In conclusion, the results support an individual-based definition of health and show that comprehensive omics profiling in a longitudinal manner is a path forward for precision medicine

Disentangling molecular and clinical stratification patterns in beta-galactosidase deficiency

INTRODUCTION: This study aims to define the phenotypic and molecular spectrum of the two clinical forms of β-galactosidase (β-GAL) deficiency, GM1-gangliosidosis and mucopolysaccharidosis IVB (Morquio disease type B, MPSIVB). METHODS: Clinical and genetic data of 52 probands, 47 patients with GM1-gangliosidosis and 5 patients with MPSIVB were analysed. RESULTS: The clinical presentations in patients with GM1-gangliosidosis are consistent with a phenotypic continuum ranging from a severe antenatal form with hydrops fetalis to an adult form with an extrapyramidal syndrome. Molecular studies evidenced 47 variants located throughout the sequence of the GLB1 gene, in all exons except 7, 11 and 12. Eighteen novel variants (15 substitutions and 3 deletions) were identified. Several variants were linked specifically to early-onset GM1-gangliosidosis, late-onset GM1-gangliosidosis or MPSIVB phenotypes. This integrative molecular and clinical stratification suggests a variant-driven patient assignment to a given clinical and severity group. CONCLUSION: This study reports one of the largest series of b-GAL deficiency with an integrative patient stratification combining molecular and clinical features. This work contributes to expand the community knowledge regarding the molecular and clinical landscapes of b-GAL deficiency for a better patient management

The human secretome

The proteins secreted by human cells (collectively referred to as the secretome) are important not only for the basic understanding of human biology but also for the identification of potential targets for future diagnostics and therapies. Here, we present a comprehensive analysis of proteins predicted to be secreted in human cells, which provides information about their final localization in the human body, including the proteins actively secreted to peripheral blood. The analysis suggests that a large number of the proteins of the secretome are not secreted out of the cell, but instead are retained intracellularly, whereas another large group of proteins were identified that are predicted to be retained locally at the tissue of expression and not secreted into the blood. Proteins detected in the human blood by mass spectrometry-based proteomics and antibody-based immuno-assays are also presented with estimates of their concentrations in the blood. The results are presented in an updated version 19 of the Human Protein Atlas in which each gene encoding a secretome protein is annotated to provide an open-access knowledge resource of the human secretome, including body-wide expression data, spatial localization data down to the single-cell and subcellular levels, and data about the presence of proteins that are detectable in the blood

Multidimensional metabolomics analysis : application to Inborn Errors of Metabolism

La médecine de précision (MP) est un nouveau paradigme qui révolutionne la pratique médicale actuelle et remodèle complètement la médecine de demain. La MP aspire à placer le patient au centre du parcours de soins en y intégrant les données médicales et biologiques individuelles tout en tenant compte de la grande diversité interindividuelle. La prédiction des états pathologiques chez les patients nécessite une compréhension dynamique et systémique. Les erreurs innées du métabolisme (EIM) sont des troubles génétiques résultant de défauts dans une voie biochimique donnée en raison de la déficience d'une enzyme, de son cofacteur ou d’un transporteur. Les EIM ne sont plus considérées comme des maladies monogéniques mais tendent à être plus complexes et multifactorielles. Le profil métabolomique permet le dépistage d’une pathologie, la recherche de biomarqueurs et l’exploration des voies métaboliques mises en jeu. Dans ce travail de thèse, nous avons utilisé l’approche métabolomique qui est particulièrement pertinente pour les EIM compte tenu de leur physiopathologie de base qui est étroitement liée au métabolisme. Ce travail a permis la mise en place d’une méthodologie métabolomique non ciblée basée sur une stratégie analytique multidimensionnelle comportant la spectrométrie de masse à haute résolution couplée à la chromatographie liquide ultra-haute performance et la mobilité ionique. La mise en place de la méthodologie de prétraitement, d’analyse et d’exploitation des données générées avec des outils de design expérimental et d’analyses multivariées ont été aussi établies. Enfin, cette approche a été appliquée pour l’exploration des EIM avec les mucopolysaccharidoses comme preuve de concept. Les résultats obtenus suggèrent un remodelage majeur du métabolisme des acides aminés dans la mucopolysaccharidose de type I. En résumé, la métabolomique pourrait être un outil complémentaire pertinent en appui à l’approche génomique dans l’exploration des EIM.The new field of precision medicine is revolutionizing current medical practice and reshaping future medicine. Precision medicine intends to put the patient as the central driver of healthcare by broadening biological knowledge and acknowledging the great diversity of individuals. The prediction of physiological and pathological states in patients requires a dynamic and systemic understanding of these interactions. Inborn errors of metabolism (IEM) are genetic disorders resulting from defects in a given biochemical pathway due to the deficiency of an enzyme, its cofactor or a transporter. IEM are no longer considered to be monogenic diseases, which adds another layer of complexity to their characterization and diagnosis. To meet this need for faster screening, the metabolic profile can be a promising candidate given its ability in disease screening, biomarker discovery and metabolic pathway investigation. In this thesis, we used a metabolomic approach which is particularly relevant for IEM given their basic pathophysiology that is tightly related to metabolism. This thesis allowed the implementation of an untargeted metabolomic methodology based on a multidimensional analytical strategy including high-resolution mass spectrometry coupled with ultra-high-performance liquid chromatography and ion mobility. This work also set a methodology for preprocessing, analysis and interpretation of the generated data using experimental design and multivariate data analysis. Finally, the strategy is applied to the exploration of IEM with mucopolysaccharidoses as a proof of concept. The results suggest a major remodeling of the amino acid metabolisms in mucopolysaccharidosis type I. In summary, metabolomic is a relevant complementary tool to support the genomic approach in the functional investigations and diagnosis of IEM

الحملات الإعلامية الإذاعية الخاصة بالتوعية المرورية في الجزائر - دراسة ميدانية على عينة من جمهور السائقين بولاية سطيف

هدفت الدراسة إلى التعرف على مدى فعالية الحملات الإعلامية الإذاعية الخاصة بالتوعية المرورية في الجزائر، وذلك من خلال دراسة ميدانية على عينة من جمهور السائقين بولاية سطيف- التي ترتب ضمن أكثر الولايات تسجيلا للحوادث المرورية - حيث بينت النتائج أن الحملات الإعلامية الاذاعية نجحت في تسجيل نسب تعرض وتذكر معتبرة من طرف جمهور السائقين لها، إلا أن هذه النتائج الايجابية في خطوتي التعرض والتذكر لم ينعكس ايجابا على المستوى السلوكي للسائقين حيث لم يتعدى دورها التأثير الآني في سلوكات السائقين

Croissance des gouttelettes et formation des embryons de precipitations dans les nuages tropicaux

SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : T 79884 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

Analyse métabolomique multidimensionnelle : applications aux erreurs innées du métabolisme

The new field of precision medicine is revolutionizing current medical practice and reshaping future medicine. Precision medicine intends to put the patient as the central driver of healthcare by broadening biological knowledge and acknowledging the great diversity of individuals. The prediction of physiological and pathological states in patients requires a dynamic and systemic understanding of these interactions. Inborn errors of metabolism (IEM) are genetic disorders resulting from defects in a given biochemical pathway due to the deficiency of an enzyme, its cofactor or a transporter. IEM are no longer considered to be monogenic diseases, which adds another layer of complexity to their characterization and diagnosis. To meet this need for faster screening, the metabolic profile can be a promising candidate given its ability in disease screening, biomarker discovery and metabolic pathway investigation. In this thesis, we used a metabolomic approach which is particularly relevant for IEM given their basic pathophysiology that is tightly related to metabolism. This thesis allowed the implementation of an untargeted metabolomic methodology based on a multidimensional analytical strategy including high-resolution mass spectrometry coupled with ultra-high-performance liquid chromatography and ion mobility. This work also set a methodology for preprocessing, analysis and interpretation of the generated data using experimental design and multivariate data analysis. Finally, the strategy is applied to the exploration of IEM with mucopolysaccharidoses as a proof of concept. The results suggest a major remodeling of the amino acid metabolisms in mucopolysaccharidosis type I. In summary, metabolomic is a relevant complementary tool to support the genomic approach in the functional investigations and diagnosis of IEM.La médecine de précision (MP) est un nouveau paradigme qui révolutionne la pratique médicale actuelle et remodèle complètement la médecine de demain. La MP aspire à placer le patient au centre du parcours de soins en y intégrant les données médicales et biologiques individuelles tout en tenant compte de la grande diversité interindividuelle. La prédiction des états pathologiques chez les patients nécessite une compréhension dynamique et systémique. Les erreurs innées du métabolisme (EIM) sont des troubles génétiques résultant de défauts dans une voie biochimique donnée en raison de la déficience d'une enzyme, de son cofacteur ou d’un transporteur. Les EIM ne sont plus considérées comme des maladies monogéniques mais tendent à être plus complexes et multifactorielles. Le profil métabolomique permet le dépistage d’une pathologie, la recherche de biomarqueurs et l’exploration des voies métaboliques mises en jeu. Dans ce travail de thèse, nous avons utilisé l’approche métabolomique qui est particulièrement pertinente pour les EIM compte tenu de leur physiopathologie de base qui est étroitement liée au métabolisme. Ce travail a permis la mise en place d’une méthodologie métabolomique non ciblée basée sur une stratégie analytique multidimensionnelle comportant la spectrométrie de masse à haute résolution couplée à la chromatographie liquide ultra-haute performance et la mobilité ionique. La mise en place de la méthodologie de prétraitement, d’analyse et d’exploitation des données générées avec des outils de design expérimental et d’analyses multivariées ont été aussi établies. Enfin, cette approche a été appliquée pour l’exploration des EIM avec les mucopolysaccharidoses comme preuve de concept. Les résultats obtenus suggèrent un remodelage majeur du métabolisme des acides aminés dans la mucopolysaccharidose de type I. En résumé, la métabolomique pourrait être un outil complémentaire pertinent en appui à l’approche génomique dans l’exploration des EIM

The reality of inflation in Algeria through the coefficient of monetary stability and the criterion of total internal demand surplus from 2000 to 2019: واقع التضخم في الجزائر من خلال معامل الاستقرار النقدي ومعيار فائض الطلب الكلي الداخلي خلال الفترة 2000-2019

يهدف هذا البحث إلى تشخيص التضخم في الجزائر من خلال معامل الاستقرار النقدي ومعيار فائض الطلب الكلي الداخلي خلال الفترة 2000-2019، هذه الفترة التي أعقبت الطفرة النفطية لسنة 1999، والتي تبنت فيها الحكومة لسياسة اقتصادية جديدة تمثلت في تسطيرها لبرامج التنمية الاقتصادية 2001-2019، ولتحقيق هدف هذا البحث اعتمدنا على معطيات إحصائية مستقات من الهيئات الحكومية بالإضافة بعض المواقع الاحصائية، حيث توصلنا من خلال المؤشر الأول إلى أن معدل النمو السنوي لحجم الكتلة النقدية قد فاق معدل النمو السنوي للناتج الداخلي الخام الحقيقي، ومن خلال المؤشر الثاني إلى أن وجود فائض في الطلب الخام الكلي الداخلي، وبالتالي هاتين الدلالتين تؤديان إلى ارتفاع في أسعار السلع والخدمات، وبالتالي ارتفاع معدل التضخم.The following research aims to diagnose inflation in Algeria throughout the coefficient of monetary stability and total internal demand surplus during the period 2000-2018. This period had followed the 1999 oil leap, in which the government adopted a new economic policy represented in designing economic development programs 2001-2019. In view to achieve the aim of this research, we relied on the statistical data excerpted from governmental instances as well as some statistical site; and we concluded according to the first indicator that the annual growth rate of the volume of means of payment exceeded the annual growth rate of the real gross domestic product. The second indicator indicates that there is a surplus in aggregate domestic demand. Thus, these two signs lead to a rise in the prices of goods and services, including the high rate of inflation