👤 Emil Holmström

Brain death induces systemic inflammation and hemodynamic changes that can lead to lung injury, impacting the quality of donor organs for transplantation. Extracellular vesicles (EVs) are cell-derived nanoparticles that carry functional biomolecules and reflect the physiological state of their cells of origin. We hypothesized that EVs from brain-dead donors may indicate lung injury and may be used to predict primary graft dysfunction (PGD) in lung transplant recipients. We performed transcriptomic profiling of plasma EVs from 44 brain-dead lung donors and 9 healthy controls using next-generation sequencing. Differential gene expression was assessed, followed by pathway enrichment analyses. The results were validated by quantitative polymerase chain reaction using the study cohort and an independent cohort. Variable importance of projection score analysis and regression models were used to identify EV transcripts associated with PGD in recipients. Transcriptomic analysis revealed that 13% of protein-coding genes were differentially expressed in lung donor EVs compared with controls, with 92% of these genes upregulated. Upregulated genes were enriched in pathways related to inflammation, coagulation, tissue remodeling, and metabolism. Seven key EV transcripts, RAD51D, ABL2, FGFR1, WDR82, PTBP3, OPRL1, and XG were identified as potential PGD indicator. These transcripts were associated with processes such as DNA damage repair, signal transduction, and inflammation, which may contribute to posttransplant lung injury. Donor plasma EVs carry distinct transcriptomic signatures associated with injury and inflammation. Specific EV transcripts, such as RAD51D and XG, hold promise as independent predictive biomarkers for PGD, possibly providing new tools for evaluating donor organ quality and improving lung transplant outcomes. Show less

Chronic pain is characterized by high psychological comorbidity, and diagnoses are symptom-based due to a lack of clear pathophysiological factors and valid biomarkers. We investigate if inflammatory blood biomarker signatures are associated with pain intensity and psychological comorbidity in a mixed chronic pain population. Eighty-one patients (72% women) with chronic pain (>6 months) were included. Patient reported outcomes were collected, and blood was analyzed with the Proseek Multiplex Olink Inflammation Panel (Bioscience Uppsala, Uppsala, Sweden), resulting in 77 inflammatory markers included for multivariate data analysis. Three subgroups of chronic pain patients were identified using an unsupervised principal component analysis. No difference between the subgroups was seen in pain intensity, but differences were seen in mental health and inflammatory profiles. Ten inflammatory proteins were significantly associated with anxiety and depression (using the Generalized Anxiety Disorder 7-item scale (GAD-7) and the Patient Health Questionnaire (PHQ-9): STAMBP, SIRT2, AXIN1, CASP-8, ADA, IL-7, CD40, CXCL1, CXCL5, and CD244. No markers were related to pain intensity. Fifteen proteins could differentiate between patients with moderate/high (GAD-7/PHQ-9 > 10) or mild/no (GAD-7/PHQ-9 < 10) psychological comorbidity. This study further contributes to the increasing knowledge of the importance of inflammation in chronic pain conditions and indicates that specific inflammatory proteins may be related to psychological comorbidity. Show less