Einar August Høgestøl

Researcher - Department of Neurology

Norwegian version of this page

Email e.a.hogestol@medisin.uio.no

Mobile phone +47-41108981

Available hours By agreement

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Visiting address Domus Medica Gaustadalléen 34 0372 Oslo

Postal address Postboks 1094 Blindern 0317 Oslo

Other affiliations Cognitive psychology, Neuroscience and Neuropsychology

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Academic interests

Advanced MRI imaging markers in MS
Biomarkers and MS
Personlized treatment for MS patients

Background

Einar August Høgestøl has a medical degree from University of Oslo in 2012. He then spent 1,5 year at the neurosurgical department at Oslo University Hospital, before he started his PhD project in the MS group as a clinician. He defended his PhD project titled "MRI- and other biomarkers in early multiple sclerosis" in October 27th 2020. He also works as a Doctor in training at the Department of Neurology at Oslo University Hospital and regularly sees MS patients.

Partners

He is also an associate professor with the EU-funded BRAINMINT project at the Department of Psychology, University of Oslo and NORMENT (https://www.med.uio.no/norment/english/ [Open URL]). He has many ongoing projects in collaboration with the Brain Imaging group lead by Professor Lars T. Westlye.

As for international collaboration he is involved in projects within the MAGNIMS consortium, in addition to specific collaborations with Karolinska Hospital in Sweden and VU Universitet in Amsterdam.

Tags: Cognitive neuroscience, genetics

Kennedy, Keith E.; de Rosbo, Nicole Kerlero; Uccelli, Antonio; Cellerino, Maria; Ivaldi, Federico & Contini, Paola [Show all 37 contributors for this article] (2024). Multiscale networks in multiple sclerosis. PLoS Computational Biology. ISSN 1553-734X. 20(2). doi: 10.1371/journal.pcbi.1010980.
Fleischer, Vinzenz; Gonzalez-Escamilla, Gabriel; Pareto, Deborah; Rovira, Alex; Sastre-Garriga, Jaume & Sowa, Piotr [Show all 23 contributors for this article] (2024). Prognostic value of single-subject grey matter networks in early multiple sclerosis. Brain. ISSN 0006-8950. 147(1), p. 135–146. doi: 10.1093/brain/awad288.
Andorra, Magi; Freire, Ana; Zubizarreta, Irati; de Rosbo, Nicole Kerlero; Bos, Steffan Daniel & Rinas, Melanie [Show all 40 contributors for this article] (2023). Predicting disease severity in multiple sclerosis using multimodal data and machine learning. Journal of Neurology. ISSN 0340-5354. doi: 10.1007/s00415-023-12132-z. Full text in Research Archive
Brune-Ingebretsen, Synne; Høgestøl, Einar August; de Rosbo, Nicole Kerlero; Berg-Hansen, Pål; Brunborg, Cathrine & Blennow, Kaj [Show all 12 contributors for this article] (2023). Immune cell subpopulations and serum neurofilament light chain are associated with increased risk of disease worsening in multiple sclerosis. Journal of Neuroimmunology. ISSN 0165-5728. 382. doi: 10.1016/j.jneuroim.2023.578175. Full text in Research Archive Show summary
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 neuro-axonal injury in MS that could be used to monitor disease activity, response to drugs and to prognosticate disease course. Here we show a moderate correlation between sNfL and lymphocyte cell subpopulations, and our data furthermore suggest that sNfL and specific immune cell subpopulations together could predict future disease worsening in MS.
Wolf, Asia-Sophia Fumika Michaela; Ravussin, Anthony; König, Marton; Øverås, Mathias Herstad; Solum, Guri & Kjønstad, Ingrid Fadum [Show all 18 contributors for this article] (2023). T cell responses to SARS-CoV-2 vaccination differ by disease-modifying therapy for multiple sclerosis. JCI Insight. ISSN 2379-3708. 8(12), p. 1–14. doi: 10.1172/jci.insight.165111. Full text in Research Archive
Martí-Juan, Gerard; Sastre-Garriga, Jaume; Martinez-Heras, Eloy; Vidal-Jordana, Angela; Llufriu, Sara & Groppa, Sergiu [Show all 20 contributors for this article] (2023). Using The Virtual Brain to study the relationship between structural and functional connectivity in patients with multiple sclerosis: a multicenter study. Cerebral Cortex. ISSN 1047-3211. 33(12), p. 7322–7334. doi: 10.1093/cercor/bhad041.
Rise, Henning Hoel; Brune, Synne; Chien, Claudia; Berge, Tone; Bos, Steffan Daniel & Andorrà, Magí [Show all 23 contributors for this article] (2022). Brain disconnectome mapping derived from white matter lesions and serum neurofilament light levels in multiple sclerosis: A longitudinal multicenter study. NeuroImage: Clinical. ISSN 2213-1582. 35, p. 1–11. doi: 10.1016/j.nicl.2022.103099. Full text in Research Archive
Brune, Synne; Høgestøl, Einar August; de Rodez Benavent, Sigrid Aune; Berg-Hansen, Pål; Beyer, Mona K. & Leikfoss, Ingvild Sørum [Show all 23 contributors for this article] (2022). Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis. Multiple Sclerosis. ISSN 1352-4585. 28(12), p. 1859–1870. doi: 10.1177/13524585221097296. Full text in Research Archive
Nes, Dragana; Berg-Hansen, Pål; de Rodez Benavent, Sigrid Aune; Høgestøl, Einar August; Beyer, Mona K. & Rinker, Daniel Allen [Show all 12 contributors for this article] (2022). Exploring Retinal Blood Vessel Diameters as Biomarkers in Multiple Sclerosis. Journal of Clinical Medicine. ISSN 2077-0383. 11(11). doi: 10.3390/jcm11113109. Full text in Research Archive
Cappelletti, Chiara; Eriksson, Anna Maria; Brorson, Ina Skaara; Leikfoss, Ingvild Sørum; Glomstad Kråbøl, Oda & Høgestøl, Einar August [Show all 12 contributors for this article] (2022). Quantitative proteomics reveals protein dysregulation during T cell activation in multiple sclerosis patients compared to healthy controls. Clinical Proteomics. ISSN 1542-6416. 19(1), p. 1–17. doi: 10.1186/s12014-022-09361-1. Full text in Research Archive Show summary
Background Multiple sclerosis (MS) is an autoimmune, neurodegenerative disorder with a strong genetic component that acts in a complex interaction with environmental factors for disease development. CD4+ T cells are pivotal players in MS pathogenesis, where peripherally activated T cells migrate to the central nervous system leading to demyelination and axonal degeneration. Through a proteomic approach, we aim at identifying dysregulated pathways in activated T cells from MS patients as compared to healthy controls. Methods CD4+ T cells were purified from peripheral blood from MS patients and healthy controls by magnetic separation. Cells were left unstimulated or stimulated in vitro through the TCR and costimulatory CD28 receptor for 24 h prior to sampling. Electrospray liquid chromatography-tandem mass spectrometry was used to measure protein abundances. Results Upon T cell activation the abundance of 1801 proteins was changed. Among these proteins, we observed an enrichment of proteins expressed by MS-susceptibility genes. When comparing protein abundances in T cell samples from healthy controls and MS patients, 18 and 33 proteins were differentially expressed in unstimulated and stimulated CD4+ T cells, respectively. Moreover, 353 and 304 proteins were identified as proteins exclusively induced upon T cell activation in healthy controls and MS patients, respectively and dysregulation of the Nur77 pathway was observed only in samples from MS patients. Conclusions Our study highlights the importance of CD4+ T cell activation for MS, as proteins that change in abundance upon T cell activation are enriched for proteins encoded by MS susceptibility genes. The results provide evidence for proteomic disturbances in T cell activation in MS, and pinpoint to dysregulation of the Nur77 pathway, a biological pathway known to limit aberrant effector T cell responses.
Brorson, Ina Skaara; Eriksson, Anna Maria; Høgestøl, Einar August; Leikfoss, Ingvild Sørum; Harbo, Hanne-Cathrin Flinstad & Berge, Tone [Show all 8 contributors for this article] (2022). Global DNA methylation changes in treated and untreated MS patients measured over time. Journal of Neuroimmunology. ISSN 0165-5728. 364. doi: 10.1016/j.jneuroim.2022.577808. Full text in Research Archive Show summary
Multiple sclerosis (MS) is an autoimmune, neurological disease. We investigated genome-wide DNA methylation profiles of CD4+ and CD8+ T cells from MS patients and healthy controls at baseline and a follow-up visit. Patients were all treatment-naïve at baseline, and either on treatment or remained untreated at the follow-up visit. MS patients show more changes in their T cell DNA methylation profiles as compared to healthy controls over time, with the most pronounced differences observed in the untreated MS patients. These findings underline the potential of DNA methylation as biomarkers in MS.
Leonardsen, Esten Høyland; Peng, Han; Kaufmann, Tobias; Agartz, Ingrid; Andreassen, Ole & Celius, Elisabeth Gulowsen [Show all 19 contributors for this article] (2022). Deep neural networks learn general and clinically relevant representations of the ageing brain. NeuroImage. ISSN 1053-8119. 256. doi: 10.1016/j.neuroimage.2022.119210. Full text in Research Archive Show summary
The discrepancy between chronological age and the apparent age of the brain based on neuroimaging data — the brain age delta — has emerged as a reliable marker of brain health. With an increasing wealth of data, approaches to tackle heterogeneity in data acquisition are vital. To this end, we compiled raw structural magnetic resonance images into one of the largest and most diverse datasets assembled (n=53542), and trained convolutional neural networks (CNNs) to predict age. We achieved state-of-the-art performance on unseen data from unknown scanners (n=2553), and showed that higher brain age delta is associated with diabetes, alcohol intake and smoking. Using transfer learning, the intermediate representations learned by our model complemented and partly outperformed brain age delta in predicting common brain disorders. Our work shows we can achieve generalizable and biologically plausible brain age predictions using CNNs trained on heterogeneous datasets, and transfer them to clinical use cases.
Beck, Dani; de Lange, Ann-Marie G.; Pedersen, Mads L.; Alnæs, Dag; Maximov, Ivan & Voldsbekk, Irene [Show all 18 contributors for this article] (2021). Cardiometabolic risk factors associated with brain age and accelerate brain ageing. Human Brain Mapping. ISSN 1065-9471. p. 1–21. doi: 10.1002/hbm.25680. Full text in Research Archive
Høgestøl, Einar August; Ghezzo, Samuele; Nygaard, Gro Owren; Espeseth, Thomas; Sowa, Piotr & Beyer, Mona K. [Show all 10 contributors for this article] (2021). Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study. Multiple Sclerosis. ISSN 1352-4585. p. 1–9. doi: 10.1177/13524585211030212. Full text in Research Archive
Aamodt, Anne Hege; Høgestøl, Einar August; Popperud, Trine Haug; Holter, Jan Cato; Dyrhol-Riise, Anne Ma & Tonby, Kristian [Show all 15 contributors for this article] (2021). Blood neurofilament light concentration at admittance: a potential prognostic marker in COVID-19. Journal of Neurology. ISSN 0340-5354. doi: 10.1007/s00415-021-10517-6. Full text in Research Archive
Cellerino, Maria; Ivaldi, Frederico; Pardini, Matteo; Rotta, Gianluca; Vila, Gemma & Bäcker-Koduah, Priscilla [Show all 23 contributors for this article] (2020). Impact of treatment on cellular immunophenotype in MS: A cross-sectional study. Neurology: Neuroimmunology and neuroinflammation. ISSN 2332-7812. 7(3), p. 1–13. doi: 10.1212/NXI.0000000000000693. Full text in Research Archive
Brune, Synne; Høgestøl, Einar August; Cengija, Vanja; Berg-Hansen, Pål; Sowa, Piotr & Nygaard, Gro Owren [Show all 8 contributors for this article] (2020). LesionQuant for assessment of MRI in multiple sclerosis—A promising supplement to the visual scan inspection. Frontiers in Neurology. ISSN 1664-2295. 11:546744, p. 1–10. doi: 10.3389/fneur.2020.546744. Full text in Research Archive
Elvsåshagen, Torbjørn; Bahrami, Shahram; van der Meer, Dennis; Agartz, Ingrid; Alnæs, Dag & Barch, Deanna M. [Show all 76 contributors for this article] (2020). The genetic architecture of human brainstem structures and their involvement in common brain disorders. Nature Communications. ISSN 2041-1723. 11. doi: 10.1038/s41467-020-17376-1. Full text in Research Archive Show summary
Brainstem regions support vital bodily functions, yet their genetic architectures and involvement in common brain disorders remain understudied. Here, using imaging-genetics data from a discovery sample of 27,034 individuals, we identify 45 brainstem-associated genetic loci, including the first linked to midbrain, pons, and medulla oblongata volumes, and map them to 305 genes. In a replication sample of 7432 participants most of the loci show the same effect direction and are significant at a nominal threshold. We detect genetic overlap between brainstem volumes and eight psychiatric and neurological disorders. In additional clinical data from 5062 individuals with common brain disorders and 11,257 healthy controls, we observe differential volume alterations in schizophrenia, bipolar disorder, multiple sclerosis, mild cognitive impairment, dementia, and Parkinson’s disease, supporting the relevance of brainstem regions and their genetic architectures in common brain disorders.
Høgestøl, Einar August; Kaufmann, Tobias; Nygaard, Gro Owren; Beyer, Mona K.; Sowa, Piotr & Nordvik, Jan Egil [Show all 11 contributors for this article] (2019). Cross-sectional and longitudinal MRI brain scans reveal accelerated brain aging in multiple sclerosis. Frontiers in Neurology. ISSN 1664-2295. 10:450, p. 1–9. doi: 10.3389/fneur.2019.00450. Full text in Research Archive
Kaufmann, Tobias; van der Meer, Dennis; Doan, Nhat Trung; Schwarz, Emanuel; Lund, Martina Jonette & Agartz, Ingrid [Show all 84 contributors for this article] (2019). Common brain disorders are associated with heritable patterns of apparent aging of the brain. Nature Neuroscience. ISSN 1097-6256. 22(10), p. 1617–1623. doi: 10.1038/s41593-019-0471-7. Full text in Research Archive
Berge, Tone; Eriksson, Anna; Brorson, Ina Skaara; Høgestøl, Einar August; Berg-Hansen, Pål & Døskeland, Anne Marie Simonne [Show all 10 contributors for this article] (2019). Quantitative proteomic analyses of CD4+ and CD8+ T cells reveal differentially expressed proteins in multiple sclerosis patients and healthy controls . Clinical Proteomics. ISSN 1542-6416. 16:19, p. 1–18. doi: 10.1186/s12014-019-9241-5. Full text in Research Archive
Høgestøl, Einar August; Nygaard, Gro Owren; Alnæs, Dag; Beyer, Mona K.; Westlye, Lars Tjelta & Harbo, Hanne Flinstad (2019). Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis. PLOS ONE. ISSN 1932-6203. 14(4). doi: 10.1371/journal.pone.0210375. Full text in Research Archive
Akhmadeev, Konstantin; Houssein, Aya; Moussaoui, Said; Høgestøl, Einar August; Tutturen, Ingerid Maria Voorham & Harbo, Hanne Flinstad [Show all 10 contributors for this article] (2018). SVM-based tool to detect patients with multiple sclerosis using a commercial EMG sensor. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. ISSN 1551-2282. 2018-July, p. 376–379. doi: 10.1109/SAM.2018.8448391. Full text in Research Archive
Berg-Johnsen, Jon & Høgestøl, Einar August (2018). Supplementary motor area syndrome after surgery for parasagittal meningiomas. Acta Neurochirurgica. ISSN 0001-6268. 160(3), p. 583–587. doi: 10.1007/s00701-018-3474-3.
Høgestøl, Einar August & Berg-Johnsen, Jon (2016). Regression of Intracranial Meningioma during Treatment with α1-Adrenoceptor Blocker. Journal of Neurological Surgery Reports. ISSN 2193-6358. 77(1), p. e62–e65. doi: 10.1055/s-0035-1571204.

View all works in Cristin

Skattebøl, Lars; Øverås, Mathias Herstad; Nordhøy, Wibeke; Harbo, Hanne Flinstad; Sowa, Piotr & Lundby, Rigmor [Show all 8 contributors for this article] (2023). Brain Age and Quantitative Susceptibility Mapping of Chronic Active Lesions in Relapsing Multiple Sclerosis.
König, Marton; Wolf, Asia-Sophia Fumika Michaela; Ravussin, Anthony; Chopra, Adity; Tran, Trung & Torgauten, Hilde Marie [Show all 28 contributors for this article] (2022). Immunogenicity and efficacy of mRNA-COVID-19 vaccines in people with multiple sclerosis.
Nygaard, Gro Owren; Torgauten, Hilde Marie; Skattebøl, Lars; Høgestøl, Einar August; Sowa, Piotr & Myhr, Kjell-Morten [Show all 8 contributors for this article] (2022). Risk of fingolimod rebound after switching to cladribine or rituximab in multiple sclerosis. Multiple Sclerosis and Related Disorders. ISSN 2211-0348. 62. doi: 10.1016/j.msard.2022.103812.
Kaufmann, Tobias; van der Meer, Dennis; Doan, Nhat Trung; Schwarz, Emanuel; Lund, Martina Jonette & Agartz, Ingrid [Show all 97 contributors for this article] (2020). Publisher Correction: Common brain disorders are associated with heritable patterns of apparent aging of the brain (Nature Neuroscience, (2019), 22, 10, (1617-1623), 10.1038/s41593-019-0471-7). Nature Neuroscience. ISSN 1097-6256. 23(2). doi: 10.1038/s41593-019-0553-6.
Bos, Steffan Daniel; Brorson, Ina Skaara; Høgestøl, Einar August; Berge, Tone; Saez-Rodriguez, Julio & Uccelli, Antonio [Show all 9 contributors for this article] (2018). Multiple Sclerosis genetic burden score in a systems biology study of MS patients from four countries.
Berge, Tone; Eriksson, Anna; Brorson, Ina Skaara; Høgestøl, Einar August; Harbo, Hanne Flinstad & Bos, Steffan Daniel [Show all 7 contributors for this article] (2018). Proteomic profiling of T cells from multiple sclerosis patients and healthy controls.
Zubizarreta, Irati; de Rosbo, Nicole Kerlero; Rinas, Melanie; Høgestøl, Einar August; de Rodez Benavent, Sigrid Aune & Bos, Steffan Daniel [Show all 17 contributors for this article] (2018). The Sys4MS project: Personalizing health care in Multiple Sclerosis using systems medicine tools .
Berge, Tone; Brorson, Ina Skaara; Høgestøl, Einar August; Bos, Steffan Daniel; Harbo, Hanne Flinstad & Berven, Frode (2018). Proteomic profiling of CD4+ and CD8+ T cells from multiple sclerosis patients and healthy controls.
Eriksson, Anna; Brorson, Ina Skaara; Høgestøl, Einar August; Bos, Steffan Daniel; Harbo, Hanne Flinstad & Berven, Frode [Show all 7 contributors for this article] (2018). Proteomic profiling of CD4+ T cells from MS patients show increased activity of T cell activation pathways (compared to healthy controls) .
Berge, Tone; Eriksson, Anna; Brorson, Ina Skaara; Høgestøl, Einar August; Bos, Steffan Daniel & Harbo, Hanne Flinstad [Show all 7 contributors for this article] (2018). Proteomic profiling of CD4+ and CD8+ T cells from multiple sclerosis patients and healthy controls.