Browsing by Subject "Blood"

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  • Avela, Henri F.; Siren, Heli (2020)
    The present article examines recently published literature on lipids, mainly focusing on research involving glycero-, glycerophospho- and sphingo-lipids. The primary aim is identification of distinct profiles in biologic lipidomic systems by ultra-high-performance liquid chromatography (UHPLC) coupled with mass spectrometry (MS, tandem MS) with multivariate data analysis. This review specifically targets lipid biomarkers and disease pathway mechanisms in humans and artificial targets. Different specimen matrices such as primary blood derivatives (plasma, serum, erythrocytes, and blood platelets), faecal matter, urine, as well as biologic tissues (liver, lung and kidney) are highlighted.
  • Kuuliala, Krista; Kuuliala, Antti; Koivuniemi, Riitta; Kautiainen, Hannu; Repo, Heikki; Leirisalo-Repo, Marjatta (2017)
    Background: We found recently that baseline signal transducer and activator of transcription 3 phosphorylation in peripheral blood CD4(+) T cells of patients with early rheumatoid arthritis (RA) is associated with treatment response to synthetic disease-modifying antirheumatic drugs (DMARDs). This prompted us to study the baseline phosphorylation profiles of Janus kinases (JAKs) in blood leukocytes with respect to treatment response in early RA. Methods: Thirty-five DMARD-naive patients with early RA provided blood samples for whole blood flow cytometric determination of phosphorylation of JAKs in CD4(+) and CD8(+) T cells, CD19(+) B cells, and CD14(+) monocytes. Treatment response was determined after 1 year of treatment with synthetic DMARDs, with remission defined as absence of tender and swollen joints and normal erythrocyte sedimentation rate. Exact logistic regression was used to investigate the association of baseline variables with treatment response. Ninety-five percent CIs of means were estimated by bias-corrected bootstrapping. Results: High JAK3 phosphorylation in CD4(+) and CD8(+) T cells, CD19(+) B cells, and CD14(+) monocytes and low JAK2 phosphorylation in CD14(+) monocytes were significantly associated with remission following treatment with synthetic DMARDs. Conclusions: Baseline JAK phosphorylation profile in peripheral blood leukocytes may provide a means to predict treatment response achieved by synthetic DMARDs among patients with early RA.
  • Kuuliala, Krista; Kuuliala, Antti; Koivuniemi, Riitta; Kautiainen, Hannu; Repo, Heikki; Leirisalo-Repo, Marjatta (BioMed Central, 2017)
    Abstract Background We found recently that baseline signal transducer and activator of transcription 3 phosphorylation in peripheral blood CD4+ T cells of patients with early rheumatoid arthritis (RA) is associated with treatment response to synthetic disease-modifying antirheumatic drugs (DMARDs). This prompted us to study the baseline phosphorylation profiles of Janus kinases (JAKs) in blood leukocytes with respect to treatment response in early RA. Methods Thirty-five DMARD-naïve patients with early RA provided blood samples for whole blood flow cytometric determination of phosphorylation of JAKs in CD4+ and CD8+ T cells, CD19+ B cells, and CD14+ monocytes. Treatment response was determined after 1 year of treatment with synthetic DMARDs, with remission defined as absence of tender and swollen joints and normal erythrocyte sedimentation rate. Exact logistic regression was used to investigate the association of baseline variables with treatment response. Ninety-five percent CIs of means were estimated by bias-corrected bootstrapping. Results High JAK3 phosphorylation in CD4+ and CD8+ T cells, CD19+ B cells, and CD14+ monocytes and low JAK2 phosphorylation in CD14+ monocytes were significantly associated with remission following treatment with synthetic DMARDs. Conclusions Baseline JAK phosphorylation profile in peripheral blood leukocytes may provide a means to predict treatment response achieved by synthetic DMARDs among patients with early RA.
  • Zhang, Guangyi; Ashrafi, Reza A.; Juuti, Anne; Pietiläinen, Kirsi; Marttinen, Pekka (2021)
    Estimating the impact of a treatment on a given response is needed in many biomedical applications. However, methodology is lacking for the case when the response is a continuous temporal curve, treatment covariates suffer extensively from measurement error, and even the exact timing of the treatments is unknown. We introduce a novel method for this challenging scenario. We model personalized treatment-response curves as a combination of parametric response functions, hierarchically sharing information across individuals, and a sparse Gaussian process for the baseline trend. Importantly, our model accounts for errors not only in treatment covariates, but also in treatment timings, a problem arising in practice for example when data on treatments are based on user self-reporting. We validate our model with simulated and real patient data, and show that in a challenging application of estimating the impact of diet on continuous blood glucose measurements, accounting for measurement error significantly improves estimation and prediction accuracy.
  • Isokuortti, Harri; Luoto, Teemu (2019)
    Tavallisin syy aivovammaan on kaatuminen ja suurin osa vammoista on lieviä. Alkuvaiheessa tärkeintä on sulkea pois vakavan vamman mahdollisuus. Tapahtumatiedot, löydökset ja oireet kirjataan huolellisesti. Olennaisia ovat tajunnan muutokset, muistiaukko ja kuvantamislöydökset. Akuuttivaiheessa ensisijainen kuvantamismuoto on pään tietokonetomografia. Sillä voidaan sulkea pois vakavat kallonsisäiset verenvuodot. Toipumista voidaan edistää oireenmukaisella hoidolla ja potilasohjauksella. Ennuste on hyvä, mutta toipumisen pitkittyessä erikoissairaanhoidon arvio on usein tarpeen.