Extracellular vesicles (EVs) are a versatile group of cell-secreted membranous nanoparticles present in body fluids. They have an exceptional diagnostic potential due to their molecular content matching the originating cells and accessibility from body fluids. However, methods for EV isolation are still in development, with size exclusion chromatography (SEC) emerging as a preferred method. Here we compared four types of SEC to isolate EVs from the CSF of patients with severe traumatic brain injury. A pool of nine CSF samples was separated by SEC columns packed with Sepharose CL-6B, Sephacryl S-400 or Superose 6PG and a ready-to-use qEV10/70 nm column. A total of 46 fractions were collected and analysed by slot-blot followed by Ponceau staining. Immunodetection was performed for albumin, EV markers CD9, CD81, and lipoprotein markers ApoE and ApoAI. The size and concentration of nanoparticles in fractions were determined by tunable resistive pulse sensing and EVs were visualised by transmission electron microscopy. We show that all four SEC techniques enabled separation of CSF into nanoparticle- and free protein-enriched fractions. Sepharose CL-6B resulted in a significantly higher number of separated EVs while lipoproteins were eluted together with free proteins. Our data indicate that Sepharose CL-6B is suitable for isolation of EVs from CSF and their separation from lipoproteins.
Severe traumatic brain injury (sTBI) is an intracranial damage triggered by external force, most commonly due to falls and traffic accidents. The initial brain injury can progress into a secondary injury involving numerous pathophysiological processes. The resulting sTBI dynamics makes the treatment challenging and prompts the improved understanding of underlying intracranial processes. Here, we analysed how extracellular microRNAs (miRNAs) are affected by sTBI. We collected thirty-five cerebrospinal fluids (CSF) from five sTBI patients during twelve days (d) after the injury and combined them into d1–2, d3–4, d5–6 and d7–12 CSF pools. After miRNA isolation and cDNA synthesis with added quantification spike-ins, we applied a real-time PCR-array targeting 87 miRNAs. We detected all of the targeted miRNAs, with totals ranging from several nanograms to less than a femtogram, with the highest levels found at d1–2 followed by decreasing levels in later CSF pools. The most abundant miRNAs were miR-451a, miR-16-5p, miR-144-3p, miR-20a-5p, let-7b-5p, miR-15a-5p, and miR-21-5p. After separating CSF by size-exclusion chromatography, most miRNAs were associated with free proteins, while miR-142-3p, miR-204-5p, and miR-223-3p were identified as the cargo of CD81-enriched extracellular vesicles, as characterised by immunodetection and tunable resistive pulse sensing. Our results indicate that miRNAs might be informative about both brain tissue damage and recovery after sTBI.
Surgical myocardial revascularization, regardless of the technique used, causes ischemia–reperfusion injury (IRI) in the myocardium mediated by inflammation and degradation of the endothelial glycocalyx (EG). We investigated the difference between on-pump and off-pump techniques in terms of the concentration of proinflammatory interleukin (IL)-18 and the EG degradation products syndecan-1 and hyaluronic acid measured by ELISA in the peripheral and cardiac circulation during open heart surgery and in the early postoperative period. The concentration of IL-18, C-reactive protein (CRP), and cardiac troponin T (cTnT) and the leukocyte count increased statistically significantly in revascularized patients at 24 and 72 h after revascularization compared to the beginning of the procedure and was always statistically significantly higher in on-pump patients. Syndecan-1 and hyaluronic acid only increased in on-pump patients 24 and 72 h after revascularization. IL-18 correlated positively with syndecan-1 and CRP only in the pump setting and with the number of leukocytes in both revascularization regimens 24 and 72 h after the surgery. cTnT and hyaluronic acid did not correlate with IL-18. Our results suggest that IL-18 plays an important role in the early inflammatory response in patients during open heart surgery and in the early postoperative period, leading to additional damage to the EG, while it is probably not responsible for myocardial necrosis. It could serve as a biomarker to identify high-risk patients and as a therapeutic target to reduce inflammation and EG degradation. In addition, measurement of IL-18 could help improve the treatment, recovery, and outcomes of patients after heart surgery.