• Blood neurofilament light concentration at admittance: a potential prognostic marker in COVID-19 

      Aamodt, Anne Hege; Høgestøl, Einar August; Popperud, Trine Haug; Holter, Jan Cato; Dyrhol-Riise, Anne Ma; Tonby, Kristian; Stiksrud, Birgitte; Paulsen, Else Quist; Berge, Tone; Barratt-Due, Andreas; Aukrust, Pål; Heggelund, Lars; Blennow, Kaj; Zetterberg, Henrik; Harbo, Hanne Flinstad (Journal of Neurology;, Peer reviewed; Journal article, 2021-03-20)
      Objective To test the hypotheses that blood biomarkers for nervous system injury, serum concentrations of neurofilament light chain protein (NfL) and glial fibrillary acidic protein (GFAp) can serve as biomarkers for disease ...
    • Common brain disorders are associated with heritable patterns of apparent aging of the brain 

      Kaufmann, Tobias; van der Meer, Dennis; Doan, Nhat Trung; Schwarz, Emanuel; Lund, Martina Jonette; Agartz, Ingrid; Alnæs, Dag; Barch, Deanna M.; Baur-Streubel, Ramona; Bertolino, Alessandro; Bettella, Francesco; Beyer, Mona K.; Bøen, Erlend; Borgwardt, Stefan; Brandt, Christine Lycke; Buitelaar, Jan; Celius, Elisabeth Gulowsen; Cervenka, Simon; Conzelmann, Annette; Còrdova Palomera, Aldo; Dale, Anders; de Quervain, Dominique J.F.; di Carlo, Pasquale; Djurovic, Srdjan; Dørum, Erlend Solberg; Eisenacher, Sarah; Elvsåshagen, Torbjørn; Espeseth, Thomas; Fatouros-Bergman, Helena; Flyckt, Lena; Franke, Barbara; Frei, Oleksandr; Haatveit, Beathe; Håberg, Asta; Harbo, Hanne Flinstad; Hartman, Catharina A; Heslenfeld, Dirk J; Hoekstra, Pieter J; Høgestøl, Einar August; Jernigan, Terry L.; Jonassen, Rune; Jönsson, Erik Gunnar; Kirsch, Peter; Kłoszewska, Iwona; Kolskår, Knut-Kristian; Landrø, Nils Inge; Le Hellard, Stephanie; Lesch, Klaus-Peter; Lovestone, Simon; Lundervold, Arvid; Lundervold, Astri; Maglanoc, Luigi Angelo; Malt, Ulrik Fredrik; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Moberget, Torgeir; Norbom, Linn Christin Bonaventure; Nordvik, Jan Egil; Nyberg, Lars; Oosterlaan, Jaap; Papalino, Marco; Papassotiropoulos, Andreas; Pauli, Paul; Pergola, Giulio; Persson, Karin Ester Torun; Richard, Geneviève; Rokicki, Jaroslav; Sanders, Anne-Marthe; Selbæk, Geir; Shadrin, Alexey A.; Smeland, Olav Bjerkehagen; Soininen, Hilkka; Sowa, Piotr; Steen, Vidar Martin; Tsolaki, Magda; Ulrichsen, Kristine Moe; Vellas, Bruno; Wang, Lei; Westman, Eric; Ziegler, Georg C.; Zink, Mathias; Andreassen, Ole Andreas; Westlye, Lars Tjelta (Nature Neuroscience;Volume 22, Issue 10, Journal article; Peer reviewed, 2019-07-22)
      Common risk factors for psychiatric and other brain disorders are likely to converge on biological pathways influencing the development and maintenance of brain structure and function across life. Using structural MRI data ...
    • The genetic architecture of human brainstem structures and their involvement in common brain disorders 

      Elvsåshagen, Torbjørn; Bahrami, Shahram; van der Meer, Dennis; Agartz, Ingrid; Alnæs, Dag; Barch, Deanna M.; Baur-Streubel, Ramona; Bertolino, Alessandro; Beyer, Mona K.; Blasi, Giuseppe; Borgwardt, Stefan; Boye, Birgitte; Buitelaar, Jan; Bøen, Erlend; Celius, Elisabeth Gulowsen; Cervenka, Simon; Conzelmann, Annette; Coynel, David; di Carlo, Pasquale; Djurovic, Srdjan; Eisenacher, Sarah; Espeseth, Thomas; Fatouros-Bergman, Helena; Flyckt, Lena; Franke, Barbara; Frei, Oleksandr; Gelao, Barbara; Harbo, Hanne Flinstad; Hartman, Catharina A.; Håberg, Asta; Heslenfeld, Dirk; Hoekstra, Pieter J.; Høgestøl, Einar August; Jonassen, Rune; Jönsson, Erik G.; Kirsch, Peter; Kloszewska, Iwona; Lagerberg, Trine Vik; Landrø, Nils Inge; Le Hellard, Stephanie; Lesch, Klaus-Peter; Maglanoc, Luigi Angelo; Malt, Ulrik Fredrik; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Moberget, Torgeir; Nordvik, Jan Egil; Nyberg, Lars; O’ Connell, Kevin S.; Oosterlaan, Jaap; Papalino, Marco; Papassotiropoulos, Andreas; Pauli, Paul; Pergola, Giulio; Persson, Karin; de Quervain, Dominique; Reif, Andreas; Rokicki, Jaroslav; Van Rooij, Daan; Shadrin, Alexey A.; Schmidt, André; Schwarz, Emanuel; Selbæk, Geir; Soininen, Hilkka; Sowa, Piotr; Steen, Vidar M.; Tsolaki, Magda; Vellas, Bruno; Wang, Lei; Westman, Eric; Ziegler, Georg C.; Zink, Mathias; Andreassen, Ole Andreas; Westlye, Lars Tjelta; Kaufmann, Tobias (Nature Communications;11:4016, Journal article; Peer reviewed, 2020-08-11)
      Brainstem regions support vital bodily functions, yet their genetic architectures and invol- vement in common brain disorders remain understudied. Here, using imaging-genetics data from a discovery sample of 27,034 ...
    • Immune cell subpopulations and serum neurofilament light chain are associated with increased risk of disease worsening in multiple sclerosis 

      Brune-Ingebretsen, Synne; Høgestøl, Einar August; de Rosbo, Nicole Kerlero; Berg-Hansen, Pål; Brunborg, Cathrine; Blennow, Kaj; Zetterberg, Henrik; Paul, Friedemann; Uccelli, Antonio; Villoslada, Pablo; Harbo, Hanne-Cathrin Flinstad; Berge, Tone (Peer reviewed; Journal article, 2023)
      Changes is lymphocyte subpopulations in peripheral blood have been proposed as biomarkers for evaluation of disease activity in multiple sclerosis (MS). Serum neurofilament light chain (sNfL) is a biomarker reflecting ...
    • Impact of treatment on cellular immunophenotype in MS: A cross-sectional study 

      Cellerino, Maria; Ivaldi, Frederico; Pardini, Matteo; Rotta, Gianluca; Vila, Gemma; Bäcker-Koduah, Priscilla; Berge, Tone; Laroni, Alice; Lapucci, Caterina; Novi, Giovanni; Boffa, Giacomo; Sbragia, Elvira; Palmeri, Serena; Aassayer, Susanna; Høgestøl, Einar August; Campi, Cristina; Piana, Michele; Inglese, Matilde; Friedemann, Paul; Harbo, Hanne Flinstad; Villoslada, Pablo; Kerlero de Rosbo, Nicole; Uccelli, Antonio (Neurology, Neuroimmunology and Neuroinflammation;volume 7, issue 3, Journal article; Peer reviewed, 2020-03-05)
      Objective: To establish cytometry profiles associated with disease stages and immunotherapy in MS. Methods: Demographic/clinical data and peripheral blood samples were collected from 227 patients with MS and 82 sex- and ...
    • Predicting disease severity in multiple sclerosis using multimodal data and machine learning 

      Andorra, Magi; Freire, Ana; Zubizarreta, Irati; de Rosbo, Nicole Kerlero; Bos, Steffan Daniel; Rinas, Melanie; Høgestøl, Einar August; de Rodez Benavent, Sigrid Aune; Berge, Tone; Brune, Synne; Ivaldi, Federico; Cellerino, Maria; Pardini, Matteo; Vila, Gemma; Pulido-Valdeolivas, Irene; Martinez-Lapiscina, Elena H.; Llufriu, Sara; Saiz, Albert; Blanco, Yolanda; Martinez-Heras, Eloy; Solana, Elisabeth; Bäcker-Koduah, Priscilla; Behrens, Janina; Kuchling, Joseph; Asseyer, Susanna; Scheel, Michael; Chien, Claudia; Zimmermann, Hanna; Motamedi, Seyedamirhosein; Kauer-Bonin, Josef; Brandt, Alex; Saez-Rodriguez, Julio; Alexopoulos, Leonidas G.; Paul, Friedemann; Harbo, Hanne-Cathrin Flinstad; Shams, Hengameh; Oksenberg, Jorge; Uccelli, Antonio; Baeza-Yates, Ricardo; Villoslada, Pablo (Peer reviewed; Journal article, 2023)
      Background Multiple sclerosis patients would benefit from machine learning algorithms that integrates clinical, imaging and multimodal biomarkers to define the risk of disease activity. Methods We have analysed a prospective ...
    • Quantitative proteomic analyses of CD4+ and CD8+ T cells reveal differentially expressed proteins in multiple sclerosis patients and healthy controls 

      Berge, Tone; Eriksson, Anna; Brorson, Ina Skaara; Høgestøl, Einar August; Berg-Hansen, Pål; Døskeland, Anne Marie Simonne; Mjaavatten, Olav; Bos, Steffan Daniel; Harbo, Hanne Flinstad; Berven, Frode (Clinical Proteomics;16, Article number: 19 (2019), Peer reviewed; Journal article, 2019-04-27)
      Background: Multiple sclerosis (MS) is an autoimmune, neuroinflammatory disease, with an unclear etiology. How‑ ever, T cells play a central role in the pathogenesis by crossing the blood–brain‑barrier, leading to inflammation ...