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Proteomic profiling identifies novel inflammation-related plasma proteins associated with ischemic stroke outcome

Angerfors, Annelie (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
Brännmark, Cecilia (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
Lagging, Cecilia (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
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Tai, Kara (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
Månsby Svedberg, Robert (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
Andersson, Björn, 1977 (författare)
Gothenburg University,Göteborgs universitet,Core Facilities, Bioinformatics,Core Facilities, Bioinformatics
Jern, Christina, 1962 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
Stanne, Tara M, 1979 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
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 (creator_code:org_t)
2023
2023
Engelska.
Ingår i: Journal of Neuroinflammation. - 1742-2094. ; 20:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background The inflammatory response to cerebral ischemia is complex; however, most clinical studies of stroke outcome focus on a few selected proteins. We, therefore, aimed to profile a broad range of inflammation-related proteins to: identify proteins associated with ischemic stroke outcome that are independent of established clinical predictors; identify proteins subsets for outcome prediction; and perform sex and etiological subtype stratified analyses.Methods Acute-phase plasma levels of 65 inflammation-related proteins were measured in 534 ischemic stroke cases. Logistic regression was used to estimate associations to unfavorable 3-month functional outcome (modified Rankin Scale score > 2) and LASSO regressions to identify proteins with independent effects.Results Twenty proteins were associated with outcome in univariable models after correction for multiple testing (FDR < 0.05), and for 5 the association was independent of clinical variables, including stroke severity (TNFSF14 [LIGHT], OSM, SIRT2, STAMBP, and 4E-BP1). LASSO identified 9 proteins that could best separate favorable and unfavorable outcome with a predicted diagnostic accuracy (AUC) of 0.81; three associated with favorable (CCL25, TRAIL [TNFSF10], and Flt3L) and 6 with unfavorable outcome (CSF-1, EN-RAGE [S100A12], HGF, IL-6, OSM, and TNFSF14). Finally, we identified sex- and etiologic subtype-specific associations with the best discriminative ability achieved for cardioembolic, followed by cryptogenic stroke.Conclusions We identified candidate blood-based protein biomarkers for post-stroke functional outcome involved in, e.g., NLRP3 inflammasome regulation and signaling pathways, such as TNF, JAK/STAT, MAPK, and NF-kappa B. These proteins warrant further study for stroke outcome prediction as well as investigations into the putative causal role for stroke outcome.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)

Nyckelord

Ischemic stroke
Proteomics
TNFSF14 [LIGHT] protein
TNFSF10 [TRAIL]
protein
Oncostatin M protein
Sirtuin 2 protein
STAM-binding protein
CSF-1
Brain ischemia
Stroke
tnf superfamily
recovery
Immunology
Neurosciences & Neurology

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