Personal profile


We perform research that facilitates discovery of new biomarkers for high throughput and cost efficient diagnostics, and pinpoints targets for future development of therapeutics for respiratory diseases. We are deeply involved in translational research using porcine models for human diseases including influenza virus infection, bone inflammation and regeneration, necrotizing enterocolitis, traumatic lesions, and S. aureus sepsis.

Research areas

Research activities are focused on the innate immune system, the first line of defense against invading microorganisms. The expression of coding and non-coding RNA is characterised as response to infection or inflammation in livestock. 


The goal is to perform research that facilitate discovery of new biomarkers for diagnostic, prognostic and monitoring uses, and pinpoint targets for future development of therapeutics entities.


Present activities include characterisation of the innate host response in pigs after infection with viral and bacterial lung pathogens as well as development and optimization of methods for identification, characterization, and quantification of coding and non-coding RNA in tissue samples, cell cultures, and blood.


Within the past year, we have optimized our high-throughput real-time quantitative PCR platform, Fluidigm. We have designed, validated, and implemented hundreds of primer assays for measuring the expression of a wide range of immune factors in pigs, cattle, horses, sheep, chickens, and mice.


Gene activity in lung infections

Animal models are essential in understanding the mechanisms involved in human infectious disease and for the development of effective prevention and treatment strategies. We and others have shown that induction of cough and fewer in influenza virus infected pigs were highly similar to what have been reported in humans within the first 3 days of infection. We aim at providing a better understanding of the involvement of circulating non-coding RNA and innate immune factors during influenza virus infection, and subsequently to pinpoint potential miRNAs as biomarkers for disease progression, by employing the pig as a large animal model.


Respiratory infections cause enormous economic losses to Danish and foreign pig producers. Recently, we have identified which genes are up and down regulated in lung, tonsil, liver and spleen after infection with Actinobacillus pleuropneumoniae; a Gram-negative bacterium causing an acute and very rapidly evolving pneumonia in pigs. We investigate the interaction between host and pathogen during the infection by measuring the expression of genes encoded by both organisms in the immediate surroundings of the invading pathogen, in order to get a more comprehensive understanding of the infection dynamics.


The transcriptional activity of immune factors including cytokines, pattern recognition receptors, and acute phase proteins as well as non-protein coding RNA (microRNA) is quantified during infection and inflammation. MicroRNAs are small single-stranded RNA molecules. They do not code for proteins, but they can regulate the activity of protein-coding genes. Expression of human miRNAs is well studied. However, expression of non-coding RNA and its importance for a well-performing immune response is considerably less studied in livestock such as pigs, horses, and cattle. We examine the role of non-coding RNA during influenza infection in the pig - especially in relation to its regulation of the pig innate immune system.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


  • User defined:
  • Translational models
  • Influenza
  • Host/pathogen interactions
  • Quantitative real time reverse transcription PCR (RT-qPCR)
  • Porcine immunology
  • Innate immune response
  • Large animal models


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Collaborations and top research areas from the last five years

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