Paola G. Ferrario

ORCID: 0000-0003-1769-6799
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About
Contact & Profiles
Research Areas
  • Nutrition, Genetics, and Disease
  • Metabolomics and Mass Spectrometry Studies
  • Nutritional Studies and Diet
  • Diet and metabolism studies
  • Statistical Methods and Inference
  • Cancer-related molecular mechanisms research
  • Gut microbiota and health
  • Lipid metabolism and disorders
  • Metabolism, Diabetes, and Cancer
  • Advanced Statistical Methods and Models
  • Diet, Metabolism, and Disease
  • Genetic Associations and Epidemiology
  • Consumer Attitudes and Food Labeling
  • Data Analysis with R
  • Adipose Tissue and Metabolism
  • Gene Regulatory Network Analysis
  • Gene expression and cancer classification
  • Advanced Causal Inference Techniques
  • Atherosclerosis and Cardiovascular Diseases
  • Nuclear Receptors and Signaling
  • Congenital heart defects research
  • Lysosomal Storage Disorders Research
  • Fatty Acid Research and Health
  • Probabilistic and Robust Engineering Design
  • Sparse and Compressive Sensing Techniques

Max Rubner Institut
2016-2025

University of Lübeck
2014-2017

German Centre for Cardiovascular Research
2017

University of Stuttgart
2012-2016

Institute for Integrative and Experimental Genomics
2014

Ezetimibe lowers plasma levels of low-density lipoprotein (LDL) cholesterol by inhibiting the activity Niemann-Pick C1-like 1 (NPC1L1) protein. However, whether such inhibition reduces risk coronary heart disease is not known. Human mutations that inactivate a gene encoding drug target can mimic action an inhibitory and thus be used to infer potential effects drug.We sequenced exons NPC1L1 in 7364 patients with 14,728 controls without who were European, African, or South Asian ancestry. We...

10.1056/nejmoa1405386 article EN New England Journal of Medicine 2014-11-12
Tom R. Webb Jeanette Erdmann Kathleen Stirrups Nathan O. Stitziel Nicholas G. D. Masca and 95 more Henning Jansen Stavroula Kanoni Christopher P. Nelson Paola G. Ferrario Inke R. König John D. Eicher Andrew D. Johnson Stephen E. Hamby Christer Betsholtz Arno Ruusalepp Oscar Franzén Eric E. Schadt Johan Björkegren Peter Weeke Paul L. Auer Ursula M. Schick Yingchang Lu He Zhang Marie‐Pierre Dubé Anuj Goel Martin Farrall Gina M. Peloso Hong‐Hee Won Ron Do Erik Van Iperen Jochen Kruppa Anubha Mahajan Robert A. Scott Christina Willenborg Peter S. Braund Julian C. van Capelleveen Alex S. F. Doney Louise A. Donnelly Rosanna Asselta Pier Angelica Merlini Stefano Duga Nicola Marziliano Joshua C. Denny Christian M. Shaffer Nour Eddine El-Mokhtari André Franke Stefanie Heilmann‐Heimbach Christian Hengstenberg Per Hoffmann Oddgeir L. Holmen Kristian Hveem Jan-Håkan Jansson Karl‐Heinz Jöckel Thorsten Kessler Jennifer Kriebel Karl‐Ludwig Laugwitz Eirini Marouli Nicola Martinelli Mark I. McCarthy Natalie R. van Zuydam Christa Meisinger Tõnu Esko Evelin Mihailov Stefan Andersson Escher Maris Alver Susanne Moebus Andrew D. Morris Jarma Virtamo Majid Nikpay Oliviero Olivieri Sylvie Provost Alaa AlQarawi Neil R. Robertson Karen O. Akinsansya Dermot F. Reilly Thomas Vogt Wu Yin Folkert W. Asselbergs Charles Kooperberg Rebecca D. Jackson Eli A. Stahl Martina Müller‐Nurasyid Konstantin Strauch Tibor V. Varga Mélanie Waldenberger Lingyao Zeng Rajiv Chowdhury Veikko Salomaa Ian Ford J. Wouter Jukema Philippe Amouyel Jukka Kontto Børge G. Nordestgaard Jean Ferrières Danish Saleheen Naveed Sattar Praveen Surendran Aline Wagner Robin Young Joanna M. M. Howson

Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD show pleiotropy; that is, they are also other diseases or traits. This study sought to systematically test if genetic variants for non-CAD diseases/traits associate and undertake a comprehensive analysis the extent pleiotropy all loci. In discovery analyses involving 42,335 cases 78,240 control subjects we tested 29,383 common (minor allele frequency >5%) single...

10.1016/j.jacc.2016.11.056 article EN cc-by Journal of the American College of Cardiology 2017-02-01

Scope Knowledge on the influence of current diet trimethylamine‐N‐oxide (TMAO) levels in humans is still inconsistent. Thus, we aimed to investigate associations with urine and plasma TMAO determine effect different foods variation. Methods results concentrations 297 healthy individuals were assessed using 1 H‐NMR spectroscopy for 24 h collection spot urine, LC‐MS plasma. Of 35 food groups, those a correlation ρ >|0.15| or further investigated multivariate linear regression models showing...

10.1002/mnfr.201700363 article EN Molecular Nutrition & Food Research 2017-07-29

In clinical nutrition, it is regularly observed that individuals respond differently to a dietary treatment. Personalized nutrition aims consider such variability in response by delivering personalized nutritional recommendations. Ideally, the optimal treatment for each individual will be selected and then dispensed according specific individual’s characteristics. The aim of this paper discuss apply existing statistical methods, which can adequately used context nutrition. We estimation...

10.3390/data10020018 article EN cc-by Data 2025-01-30

In addition to their role in lipid absorption, bile acids (BAs) are also known for several relevant (endocrine) activities including contributing the regulation of energy homeostasis and some non-communicable diseases (NCDs). Furthermore, moderately elevated unconjugated bilirubin levels, as observed Gilbert’s syndrome (GS), may protect against NCDs. We therefore hypothesized that BA profile GS subjects differs from normo-bilirubinemic individuals. To test this, we performed a human...

10.3390/ijms26062475 article EN International Journal of Molecular Sciences 2025-03-10

10.1038/s41430-023-01350-3 article EN cc-by European Journal of Clinical Nutrition 2023-10-13

Abstract Purified diets (PD) increase standardization and repeatability in rodent studies but lead to differences the phenotype of animals compared grain-based “chow” diets. PD contain less fiber are often devoid soluble fiber, which can impact gut health. Thus, aim present study was modify AIN93G by addition promote more natural development as seen with chow One hundred twenty male C57BL/6J mice were fed over 12 weeks either a diet, or one three modified increased content different ratios...

10.1038/s41598-023-46331-5 article EN cc-by Scientific Reports 2023-11-07

Although sugars and sugar derivatives are an important class of metabolites involved in many physiologic processes, there is limited knowledge on their occurrence pattern biofluids.Our aim was to obtain a comprehensive urinary profile healthy participants demonstrate the wide applicability usefulness this profiling approach for nutritional as well clinical studies.In cross-sectional KarMeN study, 24-h urine samples 301 unrestricted diet, assessed via recall, were analyzed by newly developed...

10.1093/ajcn/nqy131 article EN cc-by-nc American Journal of Clinical Nutrition 2018-06-08

Scope Diabetes is thought to primarily represent a disturbance of carbohydrate metabolism; however, population studies employing metabolomics have mainly identified plasma amino acids and lipids, or their products, as biomarkers. In this pilot study, the aim analyze wide spectrum sugar compounds in fasting state during an oral glucose tolerance test (OGTT) healthy, prediabetic, type 2 diabetic volunteers. Methods results The three volunteer groups underwent standard OGTT. Plasma samples...

10.1002/mnfr.201901190 article EN Molecular Nutrition & Food Research 2020-03-14

Inflammatory diseases, specifically rheumatoid arthritis (RA), are assumed to increase the risk of coronary artery disease (CAD). More recently, multiple single-nucleotide polymorphisms (SNP) associated with RA were identified. If causal mechanisms affecting risks and CAD overlapping, alleles for might also CAD.Sixty-one SNP associating in genome-wide significant analyses tested association CARDIoGRAM (Coronary ARtery DIsease Genome wide Replication Meta-analysis), a metaanalysis including...

10.3899/jrheum.151444 article EN The Journal of Rheumatology 2016-10-15

In this paper, we consider first an estimator of the residual variance treated by Evans [(2005), 'Estimating Variance Multiplicative Noise', in 18th International Conference on Noise and Fluctuations, ICNF, AIP Proceedings, 780, pp. 99–102], Jones [(2008), 'Non-Parametric Estimation Residual Moments Covariance', Proceedings Royal Society A: Mathematical, Physical Engineering Sciences, 464, 2831–2846] Liitiäinen, Corona, Lendasse 'On Nonparametric Estimation', Neural Processing Letters, 28,...

10.1080/10485252.2012.716836 article EN Journal of nonparametric statistics 2012-09-15

Introduction: Endurance exercise alters whole-body as well skeletal muscle metabolism and physiology, leading to improvements in performance health. However, biological mechanisms underlying the body's adaptations different endurance protocols are not entirely understood. Methods: We applied a multi-platform metabolomics approach identify urinary metabolites associated metabolic pathways that distinguish acute response two interventions at distinct intensities. In our randomized crossover...

10.3389/fphys.2023.1028643 article EN cc-by Frontiers in Physiology 2023-01-30

There are many examples in clinical nutrition with individuals responding differently to a dietary intervention. Here, personalized nutritional recommendations could be targeted, tailoring interventions address plurality response. For this, we reconsidered two randomized controlled trials investigating whether different supplementation doses of cholecalciferol resulted an increased serum 25(OH)D concentration. Three statistical methods were applied order identify participants who would enjoy...

10.1038/s41430-022-01159-6 article EN cc-by European Journal of Clinical Nutrition 2022-05-23

Personalized nutrition aims to exploit heterogeneity. One reason for heterogeneity may be the presence of one or more subgroups that respond better a dietary intervention than observed average in entire population considered. However, designing studies solely with intention carry out subgroup analyses is challenging as unknown. In addition, anticipated effects are rarely known advance. This study investigates usefulness methodology where principled post hoc investigations used. By means both...

10.3390/proceedings2023091422 article EN cc-by 2024-04-09

Abstract Introduction In metabolomics, the investigation of associations between metabolome and one trait interest is a key research question. However, statistical analyses such are often challenging. Statistical tools enabling resilient verification clear presentation therefore highly desired. Objectives Our aim to provide contribution for analysis metabolomics data, offering widely applicable open-source workflow, which considers intrinsic complexity data. Methods We combined selected R...

10.1007/s11306-023-02065-z article EN cc-by Metabolomics 2023-11-30
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