Ulrik Plesner Jacobsen

Context-dependent molecular responses to heterogeneous metabolic disease traits

Theodora-Dafni Michalettou, Sapna Sharma, Natalie N. Atabaki, Juan J. Fernandez-Tajes et autres

ABSTRACT Metabolic diseases such as type 2 diabetes (T2D) arise through complex interactions between physiological, molecular, and environmental processes. Clinical traits including age, sex, adiposity, and glycaemic status are strongly associated with disease risk and progression, yet most molecular studies examine these …

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A biological-systems-based analysis using proteomic and metabolic network inference reveals mechanistic insights into hepatic steatosis

Natalie N. Atabaki, Daniel Coral, Hugo Pomares-Millan, Kieran Smith et autres

OBJECTIVE: To delineate organ-specific and systemic drivers of metabolic dysfunction-associated steatotic liver disease (MASLD), we applied integrative causal inference across clinical, imaging, and proteomic domains in individuals with and without type 2 diabetes (T2D). METHODS: Bayesian network analyses and complementary two-sample Mendelian …

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Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study

Richard A. J. Howey, Jonathan Adam, Jerzy Adamski, Natalie N. Atabaki et autres

Here we report the results from exploratory analysis using a Bayesian network approach of data originally derived from a large North European study of type 2 diabetes (T2D) conducted by the IMI DIRECT consortium. 3029 individuals (795 with T2D and 2234 without) …

gb, us, de, si, sg, dk, se, ch, nl, fi, it, fr (code pays fourni par la source)

A Biological-Systems-Based Analyses Using Proteomic and Metabolic Network Inference Reveals Mechanistic Insights into Hepatic Lipid Accumulation: An IMI-DIRECT Study

Natalie N. Atabaki, Daniel Coral, Hugo Pomares-Millan, Kieran Smith et autres

Objective: To delineate organ-specific and systemic drivers of metabolic dysfunction-associated steatotic liver disease (MASLD), we applied integrative causal inference across clinical, imaging, and proteomic domains in individuals with and without type 2 diabetes (T2D). Research Design and Methods: We used Bayesian network …

dk, se, gb, us, it, nl, de, fi, si, sg, ch (code pays fourni par la source)

Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

Andrew Anand Brown, Juan J. Fernandez-Tajes, Mun‐Gwan Hong, Caroline Brorsson et autres

We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple …

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Author Correction: Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models

Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, Alejandro Aguayo‐Orozco et autres

In the version of this article initially published, Cristina Leal Rodríguez (Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark) was omitted from the author list. The error has been corrected in the …

dk, it, gb, ch, de, se, nl, fr, fi, us, si, sg, es (code pays fourni par la source)

Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models

Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, Alejandro Aguayo‐Orozco et autres

The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based …

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Translational Informatics in Toxicology

Ulrik Plesner Jacobsen

This thesis, and the subjects presented herein, is a condensed representation of most of the comprehensive scientific projects I have been working on, or been involved in, during my years as a PhD student. The work was mainly carried out at the …

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Interpretation of Appearance: The Effect of Facial Features on First Impressions and Personality

Karin Wolffhechel, Jens Fagertun, Ulrik Plesner Jacobsen, Wiktor Majewski et autres

Appearance is known to influence social interactions, which in turn could potentially influence personality development. In this study we focus on discovering the relationship between self-reported personality traits, first impressions and facial characteristics. The results reveal that several personality traits can be …

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Facial Features−Personality Trait Evaluation Questionnaire

Karin Wolffhechel, Jens Fagertun, Ulrik Plesner Jacobsen, Wiktor Majewski et autres

HExpoChem: a systems biology resource to explore human exposure to chemicals

Olivier Taboureau, Ulrik Plesner Jacobsen, Christian Gram Kalhauge, Daniel Edsgärd et autres

SUMMARY: Humans are exposed to diverse hazardous chemicals daily. Although an exposure to these chemicals is suspected to have adverse effects on human health, mechanistic insights into how they interact with the human body are still limited. Therefore, acquisition of curated data …

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ChemProt-2.0: visual navigation in a disease chemical biology database

Sonny Kim Kjærulff, Louis Wich, Jens Vindahl Kringelum, Ulrik Plesner Jacobsen et autres

ChemProt-2.0 (http://www.cbs.dtu.dk/services/ChemProt-2.0) is a public available compilation of multiple chemical-protein annotation resources integrated with diseases and clinical outcomes information. The database has been updated to >1.15 million compounds with 5.32 millions bioactivity measurements for 15 290 proteins. Each protein is linked to …

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