A
Armand Valsesia
Researcher at Nestlé
Publications - 75
Citations - 12031
Armand Valsesia is an academic researcher from Nestlé. The author has contributed to research in topics: Weight loss & Genome-wide association study. The author has an hindex of 24, co-authored 73 publications receiving 11138 citations. Previous affiliations of Armand Valsesia include Swiss Institute of Bioinformatics & Wellcome Trust Sanger Institute.
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Journal ArticleDOI
Differential Mitochondrial Gene Expression in Adipose Tissue Following Weight Loss Induced by Diet or Bariatric Surgery.
Birgitta W. van der Kolk,Maheswary Muniandy,Dorota Kaminska,Marcus Alvarez,Arthur Ko,Zong Miao,Armand Valsesia,Dominique Langin,Dominique Langin,Maija Vaittinen,Mirva Pääkkönen,Riikka Jokinen,Sanna Kaye,Sini Heinonen,Kirsi A. Virtanen,Kirsi A. Virtanen,Daniel P. Andersson,Ville Männistö,Wim H. M. Saris,Arne Astrup,Mikael Rydén,Ellen E. Blaak,Päivi Pajukanta,Jussi Pihlajamäki,Kirsi H. Pietiläinen +24 more
TL;DR: In this paper, the authors investigated how SAT mitochondria change following diet-induced and bariatric surgery-induced weight-loss interventions in four independent weight loss studies and associated the percentage of loss with global and 2210 mitochondria-related RNA transcripts in linear regression analysis adjusted for age and sex.
Journal ArticleDOI
Multiple hot-deck imputation for network inference from RNA sequencing data.
Alyssa Imbert,Armand Valsesia,Caroline Le Gall,Claudia Armenise,Gregory Lefebvre,Pierre-Antoine Gourraud,Nathalie Viguerie,Nathalie Villa-Vialaneix +7 more
TL;DR: In this paper, a statistical approach, hd-MI, is proposed to increase the reliability of the inference when RNA-seq expression data have been measured together with an auxiliary dataset that can provide external information on gene expression similarity between samples.
Journal ArticleDOI
Fast and Accurate Approaches for Large-Scale, Automated Mapping of Food Diaries on Food Composition Tables.
TL;DR: This study is the first to provide automated approaches for large-scale food item mapping onto FCTs and demonstrates that both high precision and recall can be achieved.
Iconographies supplémentaires de l'article : Rational and design of an overfeeding protocol in constitutional thinness: Understanding the physiology, metabolism and genetic background of resistance to weight gain
Yiin Ling,Bogdan Galusca,Jörg Hager,Léonard Féasson,Armand Valsesia,Jacques Epelbaum,Virginie Alexandre,Emma Wynn,Cécile Dinet,Radu Palaghiu,Michel Peoc'h,Yves Boirie,Christophe Montaurier,Bruno Estour,Natacha Germain +14 more
Journal ArticleDOI
Untargeted Profiling of Bile Acids and Lysophospholipids Identifies the Lipid Signature Associated with Glycemic Outcome in an Obese Non-Diabetic Clinical Cohort.
TL;DR: An LC-MS method combining the targeted and untargeted detection of potential biomarkers in human plasma for biomarker discovery was demonstrated in a well-characterized overweight/obese cohort subjected to a low-caloric diet intervention, followed by a weight maintenance phase.