Skip to main content

Gjærde, Lars Klingen

Metabolic Profiling Early Post-Allogeneic Haematopoietic Cell Transplantation in the Context of CMV Infection

Rasmussen, Kirstine K.
Dos Santos, Quenia
MacPherson, Cameron Ross
Zucco, Adrian G.
Gjærde, Lars Klingen
Ilett, Emma E.
Lodding, Isabelle
Helleberg, Marie
Lundgren, Jens D.
Nielsen, Susanne D.
Brix, Susanne
Sengeløv, Henrik
Murray, Daniel D.
AHSCT CMV Correlation Network Analysis Cytomegalovirus Lipidomics Metabolomics TMAO WGCNA
Immune dysfunction resulting from allogeneic haematopoietic stem cell transplantation (aHSCT) predisposes one to an elevated risk of cytomegalovirus (CMV) infection. Changes in metabolism have been associated with adverse outcomes, and in this study, we explored the associations between metabolic profiles and post-transplantation CMV infection using plasma samples collected 7–33 days after aHSCT. We included 68 aHSCT recipients from Rigshospitalet, Denmark, 50% of whom experienced CMV infection between days 34–100 post-transplantation. First, we investigated whether 12 metabolites selected based on the literature were associated with an increased risk of post-transplantation CMV infection. Second, we conducted an exploratory network-based analysis of the complete metabolic and lipidomic profiles in relation to clinical phenotypes and biological pathways. Lower levels of trimethylamine N-oxide were associated with subsequent CMV infection (multivariable logistic regression: OR = 0.63; 95% CI = [0.41; 0.87]; p = 0.01). Explorative analysis revealed 12 clusters of metabolites or lipids, among which one was predictive of CMV infection, and the others were associated with conditioning regimens, age upon aHSCT, CMV serostatus, and/or sex. Our results provide evidence for an association between the metabolome and CMV infection post-aHSCT that is independent of known risk factors.

Early Stimulated Immune Responses Predict Clinical Disease Severity in Hospitalized COVID-19 Patients

Svanberg, Rebecka
MacPherson, Cameron
Zucco, Adrian
Agius, Rudi
Faitova, Tereza
Andersen, Michael Asger
Da Cunha-Bang, Caspar
Gjærde, Lars Klingen
Møller, Maria Elizabeth Engel
Brooks, Patrick Terrence
Lindegaard, Birgitte
Sejdic, Adin
Gang, Anne Ortved
Hersby, Ditte Stampe
Brieghel, Christian
Nielsen, Susanne Dam
Podlekareva, Daria
Hald, Annemette
Bay, Jakob Thaning
Marquart, Hanne
Lundgren, Jens
Lebech, Anne-Mette
Helleberg, Marie
Niemann, Carsten Utoft
Ostrowski, Sisse Rye
Innate Immunity Viral Infection
The immune pathogenesis underlying the diverse clinical course of COVID-19 is poorly understood. Currently, there is an unmet need in daily clinical practice for early biomarkers and improved risk stratification tools to help identify and monitor COVID-19 patients at risk of severe disease.