Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Philippe Froguel
IRF7 signalling in tanycytes controls brain–body–immune response across the ovarian cycle
Abstract Sex-specific differences in metabolic and immune function are shaped by endocrine–immune interactions, yet the complexity of this relationship remains poorly understood. Here, we identify an immune cell-like state of tanycytes, an ependymoglial cell type lining the third ventricle that mediates brain–body communication1,2 in both mice and humans.
Precision medicine in type 2 diabetes: should clustering be used?
Get full text access Log in, subscribe or purchase for full access. References 1. Bonnefond, A ∙ Florez, JC ∙ Loos, RJF ∙ et al. Dissection of type 2 diabetes: a genetic perspective Lancet Diabetes Endocrinol. 2025; 13:149-164 2. Bonnefond, A ∙ Boissel, M ∙ Bolze, A ∙ et al. Pathogenic variants in actionable MODY genes are associated with type 2 diabetes Nat Metab. 2020; 2:1126-1134 3. Ahlqvist, E ∙ Storm, P ∙ Käräjämäki, A ∙ et al.
Insulin resistance and type 2 diabetes as allostatic responses to chronic nutrient excess
Get full text access Log in, subscribe or purchase for full access. References 1. Diabetes Control and Complications Trial Research Group ∙ Nathan, D.M. ∙ Genuth, S. ... The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus N. Engl. J. Med. 1993; 329:977-986 2.
Epigenetic landscapes in human pancreatic islets reveal distinct drivers for adaptation to age and type 2 diabetes
|
Abstract Age is the strongest risk factor for type 2 diabetes, yet their independent contribution to pancreatic islet dysfunction remains unclear. We integrate DNA methylation, transcriptomic, and genotyping data from 144 islet donors. We identify 996 age- and 902 T2D-associated CpGs with minimal overlap, and 251 age- and 310 diabetes CpG target genes, usually distant from the CpG.
By Lorella Marselli, Mathilde Boissel, Vincent Pascat, Mara Suleiman, Carmela De Luca, Lijiao Ning, Marie Fourcot, Marta Tesi, Bénédicte Toussaint, Mehdi Derhourhi, Frederik Oger, Frédéric Burdet, Mickaël Canouil, Miriam Cnop, Mark Ibberson, Amélie Bonnefond, Piero Marchetti, Philippe Froguel, Amna Khamis, Lucas Maurin, Emma Henriques, Souhila Amanzougarene
|
Nature
Verified
The genetics of obesity: aetiology, prevention and therapy
Abstract Obesity is a complex, multifactorial condition with a strong genetic basis, encompassing monogenic, oligogenic and polygenic contributions. More than 1 billion people worldwide have obesity, including 150 million children. Since the discovery of leptin, over 85 monogenic forms have been identified, characterized by early-onset obesity with impaired appetite regulation, usually associated with neurodevelopmental (and other) phenotypes, making monogenic obesity mostly syndromic.
Inversed impaired osteogenic activity in children with severe obesity due to MC4R deficiency compared to LEP and LEPR deficiency
Abstract Chronic obesity is associated with impaired bone health. However, few investigations have been conducted to assess bone physiology in early-onset obesity. In this study, we measured specific bone turnover and metabolic biomarkers in children with severe obesity with biallelic loss-of-function variants of the leptin (LEP), leptin receptor (LEPR), or melanocortin 4 receptor (MC4R) genes.
A gut microbiome-kidney-heart axis predictive of future cardiovascular diseases - Nature Communications
|
Abstract Cardiovascular diseases (CVD) remain a major global health challenge. Early markers of disease initiation and progression are urgently needed. We, and others, have previously shown changes in the gut microbiome in association with metabolic and CVD. Here, we demonstrate that gut microbiome-related changes can be detected in association with subclinical variations in heart and kidney function.
By Kanta Chechi, Rima Chakaroun, Antonis Myridakis, Sofia K. Forslund-Startceva, Sebastién Fromentin, Trine Nielsen, Eugeni Belda, Edi Prifti, Pierre Bel Lassen, Gwen Falony, Sara Vieira-Silva, Julien Chilloux, Kazuhiro Sonomura, Lesley Hoyles, Laura Martinez-Gili, Francesco Pallotti, Petros Andrikopoulos, Francesc Puig-Castellví, Ines Y. Castro-Dionicio, Hugo Roume, Nicolas Pons, Emmanuelle Le Chatelier, Benoit Quinquis, Magali Berland, Michael T. Olanipekun, Matthias Blüher, Luis Pedro Coelho, Kevin Da Silva, Pilar Galan, Boyang Ji, Ana Neves, Christine Rouault, Joe-Elie Salem, Valentina Tremaroli, Tue H. Hansen, Nadja B. Søndertoft, Helle Pedersen, Peter Mark, Jens P Goetze, Lars Køber, Henrik Vestergaard, Torben Frøstrup Hansen, Jean-Daniel Zucker, Serge Hercberg, Fredrik Bäckhed, Ivica Letunic, Jean-Michel Oppert, Jens Christian Nielsen, Jeroen Raes, Ioanna Tzoulaki, Abbas Dehghan, Verena Zuber, Emmanuelle Bouzigon, Mark Lathrop, Parminder Raina, Philippe Froguel, Fumihiko Matsuda, Florence Demenais, Dominique Gauguier, Michael Stumvoll, Peer Bork, Oluf Borbye Pedersen, S. Ehrlich, Karine Clément, Marc-Emmanuel Dumas, Judith Aron-Wisneswky, Romina Pacheco Tapia, Nathalie Galleron, Manyi Jia, Angelos Manolias, Bridget Holmes, Solia Adriouch, Christian Lewinter, Taka-Aki Sato
|
Nature
Verified
Partitioned polygenic scores show mechanistic heterogeneity in type 2 diabetes and hypertension comorbidity - Nature Communications
Abstract Type 2 diabetes and hypertension are common health conditions that often occur together, suggesting shared biological mechanisms. To explore this relationship, we analyse large-scale multiomic data to uncover genetic factors underlying type 2 diabetes and blood pressure comorbidity.
OBEClust: joining forces to prevent obesity - Nature Reviews Endocrinology
Despite progress in obesity treatment, prevention remains the best option to avoid associated comorbidities. The European Cluster of Obesity Research Projects (OBEClust) is a pan-European multidisciplinary network of obesity experts, linked to nine European Union-funded projects, aiming to enhance the collective effect of obesity research in Europe, with an emphasis on prevention.
Dissection of type 2 diabetes: a genetic perspective
Get full text access Log in, subscribe or purchase for full access. References 1. Ong, KL ∙ Stafford, LK ∙ McLaughlin, SA ∙ et al. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021 Lancet. 2023; 402:203-234 2. Magliano, D ∙ Boyko, EJ IDF diabetes atlas 3. ElSayed, NA ∙ Aleppo, G ∙ Aroda, VR ∙ et al.
A framework for conducting GWAS using repeated measures data with an application to childhood BMI - Nature Communications
Abstract Genetic effects on changes in human traits over time are understudied and may have important pathophysiological impact. We propose a framework that enables data quality control, implements mixed models to evaluate trajectories of change in traits, and estimates phenotypes to identify age-varying genetic effects in GWAS.
Genetics brings new insight to β-cell function - Nature Metabolism
A meta-analysis of genome-wide association study for eight traits related to pancreatic β-cell function, based on 26,000 individuals, identified 55 independent association signals mapping to 44 loci. This study highlighted new effectors of β-cell function.
Obesity: exploring its connection to brain function through genetic and genomic perspectives - Molecular Psychiatry
Abstract Obesity represents an escalating global health burden with profound medical and economic impacts. The conventional perspective on obesity revolves around its classification as a “pure” metabolic disorder, marked by an imbalance between calorie consumption and energy expenditure.
Functional genetics reveals the contribution of delta opioid receptor to type 2 diabetes and beta-cell function - Nature Communications
Abstract Functional genetics has identified drug targets for metabolic disorders. Opioid use impacts metabolic homeostasis, although mechanisms remain elusive. Here, we explore the OPRD1 gene (encoding delta opioid receptor, DOP) to understand its impact on type 2 diabetes.
Towards the recognition of oligogenic forms of type 2 diabetes
Highlights The boundary between polygenic and monogenic diabetes is less distinct than previously believed, with oligogenic forms providing a bridge between these forms. The advent of large-scale next-generation sequencing has enabled the identification of rare variants in several genes causing oligogenic type 2 diabetes.
Human GLP1R variants affecting GLP1R cell surface expression are associated with impaired glucose control and increased adiposity - Nature Metabolism
Abstract The glucagon-like peptide 1 receptor (GLP1R) is a major drug target with several agonists being prescribed in individuals with type 2 diabetes and obesity1,2. The impact of genetic variability of GLP1R on receptor function and its association with metabolic traits are unclear with conflicting reports.
GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification - Nature Genetics
|
Abstract Conventional measurements of fasting and postprandial blood glucose levels investigated in genome-wide association studies (GWAS) cannot capture the effects of DNA variability on ‘around the clock’ glucoregulatory processes. Here we show that GWAS meta-analysis of glucose measurements under nonstandardized conditions (random glucose (RG)) in 476,326 individuals of diverse ancestries and without diabetes enables locus discovery and innovative pathophysiological observations.
By Alessia Faggian, Alessia David, Reedik Mägi, Emma Ahlqvist, Gudmar Thorleifsson, Robert Scott, Aaron Isaacs, Christian Gieger, Rona J. Strawbridge, Anuj Goel, Anne Jackson, Heather M. Stringham, Eric Farber-Eger, Valgerdur Steinthorsdottir, André G. Uitterlinden, Patricia B Munroe, Morris Brown, Barbara Thorand, Tom Wilsgaard, Karen L. Mohlke, Zhe Wang, GWA-PA Consortium, Wolfgang Koenig, Inês Barroso, Jaakko Tuomilehto, Michael Boehnke, Mark Caulfield, Nicholas J Wareham, Claudia Langenberg, Grant W. Montgomery, Ioanna Tzoulaki, Paul Elliott, Kari Stefansson, Evan L. Brittain, Mark McCarthy, Philippe Froguel, Leif Groop, Josée Dupuis, James B. Meigs, Giuseppe Deganutti, Yurii S. Aulchenko, Ben Jones, Inga Prokopenko
|
Nature
Verified
Genetic insights into resting heart rate and its role in cardiovascular disease - Nature Communications
|
Method details Populations The full RHR meta-analysis included 100 studies with data on RHR in up to 835,465 individuals. RHR was obtained from ECG in 54 studies, from pulse rate in 31 studies (of which seven were self-measured by the participants), from blood pressure monitor in nine studies, from electronic medical records in three studies, from manual measurement in one study and through a combination of multiple of the before mentioned methods in two studies.
By Yanick Hagemeijer, Albert Smith, Claudia Schurmann, Jennifer Brody, Gardar Sveinbjornsson, Cécile Lecoeur, Aaron Isaacs, Jian’an Luan, Anne Jackson, Lawrence F. Bielak, Maria Nethander, Wei Zhao, Carolina Roselli, Weihua Zhang, Marcus E Kleber, Raymond Noordam, Stella Trompet, Stefan Weiss, Xueling Sim, Ilja M. Nolte, Leo-Pekka Lyytikäinen, Lenore J. Launer, Susan M. Ring, Allan Linneberg, Bruce M. Psaty, Daniel F. Gudbjartsson, Hilma Holm, Beverley Balkau, Christopher Newton-Cheh, Patricia A. Peyser, Heribert Schunkert, Jari Lahti, Jennifer Smith, Maria Pina Concas, Thomas Meitinger, Melanie Waldenberger, Moritz F Sinner, Kent Taylor, Luisa Foco, Åsa Johansson, Peter K. Joshi, Peter W. Macfarlane, Kirill V. Tarasov, Harold Snieder, Johan Ormel, Andrew Morris, Torben Frøstrup Hansen, Themistocles L. Assimes, Vilmundur Gudnason, Nicholas J Timpson, Alanna C. Morrison, Patricia B Munroe, David P. Strachan, Niels Grarup, Susan R. Heckbert, Philippe Froguel, Leif Groop, Nicholas J Wareham, Mary F. Feitosa, Michael Boehnke, Jeanette Erdmann, Claes Ohlsson, David Porteous, Claude Bouchard Verified, Susanne Moebus, Peter Kraft, David R. Weir, Luigi Ferrucci, Giorgia Girotto, Adolfo Correa, Stefan Kääb, Annette Peters, Jaspal S Kooner, Jerome I. Rotter, Andrew Hicks, Ulf Gyllensten, James WIlson, James Wilson, Stephen Burgess, Johan Sundström, Wolfgang Lieb, J. Wouter Jukema, Ching-Yu Cheng, Marcus Dörr, Charumathi Sabanayagam, Albertine J. Oldehinkel, Terho Lehtimäki, Claes Ladenvall
|
Nature
Verified
A rare human variant that disrupts GPR10 signalling causes weight gain in mice - Nature Communications
Abstract Disruption of brain-expressed G protein-coupled receptor-10 (GPR10) causes obesity in animals. Here, we identify multiple rare variants in GPR10 in people with severe obesity and in normal weight controls. These variants impair ligand binding and G protein-dependent signalling in cells. Transgenic mice harbouring a loss of function GPR10 variant found in an individual with obesity, gain excessive weight due to decreased energy expenditure rather than increased food intake.
Monogenic diabetes
20 hours ago Two weeks ago, I wrote about some reservations I have about a Cochrane review meta-analysis finding mask-wearing in the community probably “makes little or no difference” against respiratory infections. While the overwhelming majority of the studies included in the review weren’t about Covid — and …
Adolescent obesity: towards drug treatment?
Fighting obesity in young people is the best way to greatly reduce the number of obese adults and associated diseases (diabetes, liver, cardiovascular or pulmonary diseases, cancers, joint disorders, etc.). Childhood obesity has soared in Europe with Covid-related movement restrictions.
The discovery of human agouti-induced obesity and its implication for genetic diagnosis - Nature Metabolism
Multiomic analyses in an individual with severe, early-onset obesity, followed by targeted screening in additional patients identifies a tandem duplication at the ASIP gene (encoding agouti-signalling protein) as a novel cause of monogenic obesity, with implications for genetic diagnosis of obesity.
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation - Nature Genetics
|
Abstract We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10−9), which were delineated to 338 distinct association signals.
By Anubha Mahajan, Weihua Zhang, Sina Rüeger, young kim, Josep M. Mercader, Irene Miguel-Escalada, Patricia A. Peyser, Alan B. Zonderman, Charles N. Rotimi, Eleftheria Zeggini, Stephen S. Rich, Charles Kooperberg, James S Pankow, James C. Engert, Philippe Froguel, M. Geoffrey Hayes, Leif Groop, Andrew Morris, Michiya Igase, Michael A. Province
|
Nature
Verified
Clustering for a better prediction of type 2 diabetes mellitus
Complex phenotypic and genetic clustering of individuals who are potentially at increased risk of type 2 diabetes mellitus (T2DM) can enable the identification of individuals who are likely to develop T2DM and vascular complications. Precision medicine for prediabetes should improve prevention programmes and reduce mortality. Refers to Wagner, R. et al. Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes. Nat. Med. https://doi.org/10.1038/s41591-020-1116-9 (2021).
Adipose Tissue in Obesity-Related Inflammation and Insulin Resistance: Cells, Cytokines, and Chemokines
1. Hotamisligil GS, Erbay E. Nutrient sensing and inflammation in metabolic diseases. Nature Reviews Immunology. 2008;8(12):923–934. [PMC free article] [PubMed] [Google Scholar] 2. Gregor MF, Hotamisligil GS. Inflammatory mechanisms in obesity. Annual Review of Immunology. 2011;29:415–445. [PubMed] [Google Scholar] 3. Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006;444(7121):860–867. [PubMed] [Google Scholar] 4. Ouchi N, Parker JL, Lugus JJ, Walsh K.
Quand il est muté, ce gène rend obèse et diabétique
L’obésité est une maladie « de civilisation » : le mode de vie occidental actuel est considéré comme étant à l’origine de la croissance mondiale « épidémique » de cette forme sévère de surpoids. En cause, la sédentarité, la malbouffe, ainsi que de nombreux autres facteurs environnementaux souvent partagés par tous, comme les perturbateurs endocriniens, les médicaments psychotropes, ou même la généralisation de l’air conditionné.
Comment on Beltrand et al. Sulfonylurea Therapy Benefits Neurological and Psychomotor Functions in Patients With Neonatal Diabetes Owing to Potassium Channel Mutations. Diabetes Care 2015;38:2033-2041 | Diabetes Care
Beltrand et al. (1) have conducted a prospective single-center clinical study for assessing neurodevelopmental parameters in 18 patients presenting with neonatal diabetes caused by mutations in KCNJ11 or ABCC8 encoding the two ATP-dependent potassium (KATP) channel subunits who were successfully switched from insulin to sulfonylurea (SU) therapy.
Rare and Common Genetic Events in Type 2 Diabetes: What Should Biologists Know?
Type 2 diabetes (T2D) had long been referred to as the “geneticist’s nightmare.” Genome-wide association studies have fully confirmed the polygenic nature of T2D, demonstrating the role of many genes in T2D risk. The increasingly busier picture of T2D genetics is quite difficult to understand for the diabetes research community, which can create misunderstandings with geneticists, and can eventually limit both basic research and translational outcomes of these genetic discoveries.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Philippe
Contact Philippe, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack