| 1. |
- Dickens, Alex Mountfort, et al.
(författare)
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Serum Metabolites Associated with Computed TomographyFindings after Traumatic Brain Injury
- 2018
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Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert. - 0897-7151 .- 1557-9042. ; 35:22, s. 2673-2683
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Tidskriftsartikel (refereegranskat)abstract
- There is a need to rapidly detect patients with traumatic brain injury (TBI) who require head computed tomography (CT). Given the energy crisis in the brain following TBI, we hypothesized that serum metabolomics would be a useful tool for developing a set of biomarkers to determine the need for CT and to distinguish between different types of injuries observed. Logistic regression models using metabolite data from the discovery cohort (n=144, Turku, Finland) were used to distinguish between patients with traumatic intracranial findings and negative findings on head CT. The resultant models were then tested in the validation cohort (n=66, Cambridge, UK). The levels of glial fibrillary acidic protein and ubiquitin C-terminal hydrolase-L1 were also quantified in the serum from the same patients. Despite there being significant differences in the protein biomarkers in patients with TBI, the model that determined the need for a CT scan validated poorly (AUC=0.64: Cambridge patients). However, using a combination of six metabolites (two amino acids, three sugar derivatives and one ketoacid) it was possible to discriminate patients with intracranial abnormalities on CT and patients with a normal CT (AUC=0.77 in Turku patients and AUC=0.73 in Cambridge patients). Furthermore, a combination of three metabolites could distinguish between diffuse brain injuries and mass lesions (AUC=0.87 in Turku patients and AUC=0.68 in Cambridge patients). This study identifies a set of validated serum polar metabolites, which associate with the need for a CT scan. Additionally, serum metabolites can also predict the nature of the brain injury. These metabolite markers may prevent unnecessary CT scans, thus reducing the cost of diagnostics and radiation load.
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| 2. |
- Oresic, Matej, 1967-, et al.
(författare)
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Human Serum Metabolites Associate With Severity and Patient Outcomes in Traumatic Brain Injury
- 2016
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Ingår i: EBioMedicine. - : Elsevier. - 2352-3964. ; 12, s. 118-126
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Tidskriftsartikel (refereegranskat)abstract
- Traumatic brain injury (TBI) is a major cause of death and disability worldwide, especially in children and young adults. TBI is an example of a medical condition where there are still major lacks in diagnostics and outcome prediction. Here we apply comprehensive metabolic profiling of serum samples from TBI patients and controls in two independent cohorts. The discovery study included 144 TBI patients, with the samples taken at the time of hospitalization. The patients were diagnosed as severe (sTBI; n=22), moderate (moTBI; n=14) or mild TBI (mTBI; n=108) according to Glasgow Coma Scale. The control group (n=28) comprised of acute orthopedic non-brain injuries. The validation study included sTBI (n=23), moTBI (n=7), mTBI (n=37) patients and controls (n=27). We show that two medium-chain fatty acids (decanoic and octanoic acids) and sugar derivatives including 2,3-bisphosphoglyceric acid are strongly associated with severity of TBI, and most of them are also detected at high concentrations in brain microdialysates of TBI patients. Based on metabolite concentrations from TBI patients at the time of hospitalization, an algorithm was developed that accurately predicted the patient outcomes (AUC=0.84 in validation cohort). Addition of the metabolites to the established clinical model (CRASH), comprising clinical and computed tomography data, significantly improved prediction of patient outcomes. The identified 'TBI metabotype' in serum, that may be indicative of disrupted blood-brain barrier, of protective physiological response and altered metabolism due to head trauma, offers a new venue for the development of diagnostic and prognostic markers of broad spectrum of TBIs. (C) 2016 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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| 3. |
- Posti, Jussi P., et al.
(författare)
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SERUM METABOLITES ASSOCIATE WITH HEAD COMPUTED TOMOGRAPHY FINDINGS FOLLOWING TRAUMATIC BRAIN INJURY
- 2018
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Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert. - 0897-7151 .- 1557-9042. ; 35:16, s. A67-A67
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- There is a need to rapidly detect patients with traumatic brain injury (TBI) who require head computed tomography (CT). Given the energy crisis in the brain following TBI, we hypothesized that serum metabolomics would be a useful tool for developing a set of bio-markers to determine the need for CT and to distinguish between different types of injuries observed. Logistic regression models using metabolite data from the discovery cohort (n=144, Turku, Finland) were used to distinguish between patients with traumatic intracranial findings and negative findings on head CT. The resultant models were then tested in the validation cohort (n=66, Cambridge, UK). The levels of glial fibrillary acidic protein and ubiquitin C-terminalhydrolase-L1 were also quantified in the serum from the same patients. Despite there being significant differences in the protein bio-markers in patients with TBI, the model that determined the need for a CT scan validated poorly (AUC=0.64: Cambridge patients). However, using a combination of six metabolites (two amino acids, thre esugar derivatives and one ketoacid) it was possible to discriminate patients with intracranial abnormalities on CT and patients with a normal CT (AUC=0.77 in Turku patients and AUC=0.73 in Cambridge patients). Furthermore, a combination of three metabolites could distinguish between diffuse brain injuries and mass lesions (AUC=0.87 in Turku patients and AUC=0.68 in Cambridge pa-tients). This study identifies a set of validated serum polar metabolites, which associate with the need for a CT scan. Additionally, serum metabolites can also predict the nature of the brain injury. These metabolite markers may prevent unnecessary CT scans, thus reducing the cost of diagnostics and radiation load.
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| 4. |
- Molander, Pauliina, et al.
(författare)
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Tofacitinib real-world experience in ulcerative colitis in Finland (FinTofUC) : a retrospective non-interventional multicenter patient chart data study
- 2024
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Ingår i: Scandinavian Journal of Gastroenterology. - : Taylor & Francis. - 0036-5521 .- 1502-7708. ; 59:4, s. 425-432
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Tidskriftsartikel (refereegranskat)abstract
- ObjectivesThe aim was to define the effectiveness of tofacitinib and to characterize the patient population receiving tofacitinib in a real-world cohort clinical setting for ulcerative colitis (UC) in Finland.MethodsThis is a retrospective non-interventional multicenter patient chart data study conducted in 23 Finnish Inflammatory Bowel Disease (IBD) centers. Baseline demographic and clinical data, clinical remission, steroid-free remission rate and time to tofacitinib discontinuation, colectomy or UC-related hospitalization were studied.ResultsThe study included 252 UC patients of which 69% were male. Most patients had extensive disease (71%) and were bio-experienced (81%). Tofacitinib demonstrated positive treatment outcomes with clinical response, clinical remission, and steroid-free clinical remission at one year in 33%, 34% and 31% of patients, respectively. Moreover, 64% of patients in pMayo remission at week 16 from the start of tofacitinib were still in remission at one year. Only no or mild disease activity compared to moderate activity at baseline was associated with a higher probability of achieving remission according to pMayo at six months, p = .008. Hospitalizations and/or colectomies during the study period (before treatment discontinuation/end of follow-up) were low (n = 24), with less than 5 colectomies.ConclusionsIn this real-world cohort, including a majority of bio-experienced UC patients, tofacitinib was effective in achieving steroid-free clinical remission in a third of the population at one year. A majority of patients in remission at week 16 were also in remission at one year. Results are in line with earlier published real-world studies. Registration: ClinicalTrials.gov NCT05082428.
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| 5. |
- Roslin, Tomas, et al.
(författare)
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A molecular-based identification resource for the arthropods of Finland
- 2022
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Ingår i: Molecular Ecology Resources. - : Wiley. - 1755-098X .- 1755-0998. ; 22:2, s. 803-822
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Tidskriftsartikel (refereegranskat)abstract
- To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.
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| 6. |
- Turunen, S. Pauliina, et al.
(författare)
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Immunization with malondialdehyde-modified low-density lipoprotein (LDL) reduces atherosclerosis in LDL receptor-deficient mice challenged with Porphyromonas gingivalis
- 2015
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Ingår i: Innate Immunity. - : SAGE Publications. - 1753-4259 .- 1753-4267. ; 21:4, s. 370-85
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Tidskriftsartikel (refereegranskat)abstract
- Periodontal infections increase the risk of atherosclerotic vascular disease via partly unresolved mechanisms. Of the natural IgM Abs that recognize molecular mimicry on bacterial epitopes and modified lipid and protein structures, IgM directed against oxidized low-density lipoprotein (LDL) is associated with atheroprotective properties. Here, the effect of natural immune responses to malondialdehyde-modified LDL (MDA-LDL) in conferring protection against atherosclerosis, which was accelerated by the major periodontopathogen Porphyromonas gingivalis, was investigated. LDL receptor-deficient (LDLR(-/-)) mice were immunized with mouse MDA-LDL without adjuvant before topical application challenge with live P. gingivalis. Atherosclerosis was analyzed after a high-fat diet, and plasma IgG and IgM Ab levels were measured throughout the study, and the secretion of IL-5, IL-10 and IFN-γ in splenocytes stimulated with MDA-LDL was determined. LDLR(-/-) mice immunized with MDA-LDL had elevated IgM and IgG levels to MDA-LDL compared with saline-treated controls. MDA-LDL immunization diminished aortic lipid depositions after challenge with P. gingivalis compared with mice receiving only P. gingivalis challenge. Immunization of LDLR(-/-) mice with homologous MDA-LDL stimulated the production of IL-5, implicating general activation of B-1 cells. Immune responses to MDA-LDL protected from the P. gingivalis-accelerated atherosclerosis. Thus, the linkage between bacterial infectious burden and atherogenesis is suggested to be modulated via natural IgM directed against cross-reactive epitopes on bacteria and modified LDL.
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