Pascal M. Mutie

ORCID: 0000-0003-2626-1703
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About
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Research Areas
  • Genetic Associations and Epidemiology
  • Nutritional Studies and Diet
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Liver Disease Diagnosis and Treatment
  • Metabolism, Diabetes, and Cancer
  • Bioinformatics and Genomic Networks
  • Cardiovascular Disease and Adiposity
  • Metabolomics and Mass Spectrometry Studies
  • Physical Activity and Health
  • Obesity, Physical Activity, Diet
  • Pancreatic function and diabetes
  • Diet and metabolism studies
  • Dietary Effects on Health
  • Iron Metabolism and Disorders
  • Caveolin-1 and cellular processes
  • Obesity and Health Practices
  • Galectins and Cancer Biology
  • Machine Learning in Bioinformatics
  • Diabetes Treatment and Management
  • Cancer, Lipids, and Metabolism
  • Nuts composition and effects
  • Gut microbiota and health
  • Cardiovascular Health and Disease Prevention
  • Diet, Metabolism, and Disease
  • Alcohol Consumption and Health Effects

Uppsala University
2025

Lund University
2017-2024

Skåne University Hospital
2017-2023

Genomics (United Kingdom)
2022

University of Dundee
2022

Noam Bar Tal Korem Omer Weissbrod David Zeevi Daphna Rothschild and 95 more Sigal Leviatan Noa Kosower Maya Lotan‐Pompan Adina Weinberger Caroline Le Roy Cristina Menni Alessia Visconti Mario Falchi Tim D. Spector Henrik Vestergaard Manimozhiyan Arumugam Torben Hansen Kristine H. Allin Tue H. Hansen Mun‐Gwan Hong Jochen M. Schwenk Ragna S. Häussler Matilda Dale Toni Giorgino Marianne Rodriquez Mandy H. Perry Rachel Nice Timothy J. McDonald Andrew T. Hattersley Angus G. Jones Ulrike Graefe‐Mody Patrick Baum Rolf Grempler Cecilia Engel Thomas Federico De Masi Caroline Brorsson Gianluca Mazzoni Rosa Lundbye Allesøe Simon Rasmussen Valborg Guðmundsdóttir Agnes Martine Nielsen Karina Banasik Konstantinos D. Tsirigos Birgitte Nilsson Helle K. Pedersen Søren Brunak Tugce Karaderi Agnete Troen Lundgaard Joachim Johansen Ramneek Gupta Peter Wad Sackett J. Tillner Thorsten Lehr Nina Scherer Christiane Dings Iryna Sihinevich Heather Loftus Louise Cabrelli Donna McEvoy Andrea Mari Roberto Bizzotto Andrea Tura Leen M. ‘t Hart Koen F. Dekkers Nienke van Leeuwen Roderick C. Slieker Femke Rutters Joline W. J. Beulens Giel Nijpels Anitra D.M. Koopman Sabine van Oort Lenka Groeneveld Leif Groop Petra J. M. Elders Ana Viñuela Anna Ramisch Emmanouil Dermitzakis Beate Ehrhardt Christopher Jennison Philippe Froguel Mickaël Canouil Amélie Boneford Ian McVittie Dianne Wake Francesca Frau Hans‐Henrik Stærfeldt Kofi P. Adragni Melissa K. Thomas Han Wu Imre Pavo Birgit Steckel-Hamann Henrik S. Thomsen Giuseppe N. Giordano Hugo Fitipaldi Martin Ridderstråle Azra Kurbasic Naeimeh Atabaki Pasdar Hugo Pomares‐Millan Pascal M. Mutie Robert W. Koivula

10.1038/s41586-020-2896-2 article EN Nature 2020-11-11

Background Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with without type 2 diabetes (T2D). Early diagnosis of NAFLD important, as this can help prevent irreversible damage to the and, ultimately, hepatocellular carcinomas. We sought expand etiological understanding develop a diagnostic tool for using machine learning. Methods findings utilized baseline data from IMI DIRECT, multicenter prospective cohort study 3,029...

10.1371/journal.pmed.1003149 article EN public-domain PLoS Medicine 2020-06-19

Abstract Obesity and type 2 diabetes are causally related, yet there is considerable heterogeneity in the consequences of both conditions mechanisms action poorly defined. Here we show a genetic-driven approach defining two obesity profiles that convey highly concordant discordant diabetogenic effects. We annotate then compare association signals for these across clinical molecular phenotypic layers. Key differences identified wide range traits, including cardiovascular mortality, fat...

10.1038/s42255-022-00731-5 article EN cc-by Nature Metabolism 2023-01-26

<title>Abstract</title> Obesity is a significant risk factor for Type 2 diabetes (T2D), disease that affects about 10% of the global population. also heterogeneous condition, and molecular mechanisms linking it to T2D are not yet fully understood. The aim this study was elucidate causal pathways between obesity characterize their signatures using an innovative multi-omics approach, thereby highlighting why some, but all, obese individuals develop T2D. We identified 513 independent...

10.21203/rs.3.rs-6079296/v1 preprint EN cc-by Research Square (Research Square) 2025-03-14

While a dose-response relationship between physical activity and risk of diabetes has been demonstrated, few studies have assessed the relative importance different measures on risk. The aim was to examine association self-reported type 2 in prospective cohort study.Out 26,615 adults (45-74 years, 60% women) population-based Swedish Malmö Diet Cancer Study cohort, 3791 cases were identified from registers during 17 years follow-up. Leisure-time (17 activities), occupational domestic through...

10.1186/s12889-020-8344-2 article EN cc-by BMC Public Health 2020-02-21

Abstract Leucine-rich repeats and immunoglobulin-like domains (LRIG) proteins have been implicated as regulators of growth factor signaling; however, the possible redundancy among mammalian LRIG1, LRIG2, LRIG3 has hindered detailed elucidation their physiological functions. Here, we show that Lrig -null mouse embryonic fibroblasts (MEFs) are deficient in adipogenesis bone morphogenetic protein (BMP) signaling. In contrast, transforming factor-beta (TGF-β) receptor tyrosine kinase (RTK)...

10.1038/s42003-020-01613-w article EN cc-by Communications Biology 2021-01-19

Excess adiposity is differentially associated with increased risk of cardiometabolic disease in men and women, according to observational studies. Causal inference studies largely assume a linear relationship between BMI outcomes, which may not be the case. In this study, we investigated shapes causal relationships diseases factors. We further sex differences within framework.

10.1007/s00125-022-05811-5 article EN cc-by Diabetologia 2022-10-12

The association between leisure-time physical activity and cardiovascular mortality has been previously studied, but few studies have focused on specific activities intensities.The different was investigated among 25,876 individuals without diabetes or disease from the population-based Malmö Diet Cancer Study cohort. estimated average duration spent 17 at baseline in 1991-1996 after 5 years. Cardiovascular obtained a register during mean of 20 years follow-up.A total 15-25 metabolic...

10.1186/s12889-021-11972-6 article EN cc-by BMC Public Health 2021-10-26

Background Diet and physical activity (PA) are modifiable risk factors thought to influence the of ischemic stroke (IS). However, few studies have examined their effect on different subtypes IS. Aim To examine components overall diet quality types PA in relation atherothrombotic IS (aIS). Materials methods The study population included 23,797 participants (mean age 58 years; 63% women) from Malmö Cancer Study cohort. Participants were enrolled between 1991 1996 followed until end 2016...

10.3389/fcvm.2022.993112 article EN cc-by Frontiers in Cardiovascular Medicine 2022-10-14

ABSTRACT Background Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in type 2 diabetes (T2D) beyond. Early diagnosis of NAFLD important, as this can help prevent irreversible damage to the ultimately hepatocellular carcinomas. Methods Findings Utilizing baseline data from IMI DIRECT participants (n=1514) we sought expand etiological understanding develop a diagnostic tool for using machine learning. Multi-omic (genetic, transcriptomic,...

10.1101/2020.02.10.20021147 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-02-11

Abstract Obesity and type 2 diabetes are causally related, yet the underlying mechanisms poorly defined. We aimed to subclassify obesity into etiological subtypes using a genetic-driven agnostic approach. Genetic instruments for body mass index were classified profiles that convey highly concordant (48 SNPs) discordant (19 diabetogenic effects. annotated association signals these across clinical molecular phenotypic layers, spanning &gt; 5,000 traits. Using combination of machine-learning...

10.21203/rs.3.rs-1171707/v1 preprint EN cc-by Research Square (Research Square) 2022-05-10
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