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  • 1.
    Ayoglu, Burcu
    et al.
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
    Kockum, Ingrid
    Olsson, Tomas
    Nilsson, Peter
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
    Anoctamin 2 identified as an autoimmune target in multiple sclerosis2016In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 22, p. 10-10Article in journal (Other academic)
  • 2.
    Ayoglu, Burcu
    et al.
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Mitsios, N.
    Khademi, M.
    Alfredsson, L.
    Uhlén, Mathias
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Mulder, J.
    Olsson, T.
    Schwenk, Jochen
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Nilsson, Peter
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Anoctamin 2, a novel autoimmune target candidate in multiple sclerosis2014In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 20, p. 49-50Article in journal (Other academic)
  • 3. Houshmand, M.
    et al.
    Sanati, M. H.
    Babrzadeh, F.
    Ardalan, Arman
    Teimori, M.
    Vakilian, M.
    Akuchekian, M.
    Farhud, D.
    Lotfi, J.
    Population screening for association of mitochondrial haplogroups BM, J, K and M with multiple sclerosis: interrelation between haplogroup J and MS in Persian patients2005In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 11, no 6, p. 728-730Article in journal (Refereed)
    Abstract [en]

    Background: Multiple sclerosis (MS) is an immunological inflammatory disease of the central nervous system (CNS) which is chronically observed in young adults. On the basis of earlier studies, potential relatedness between MS and mitochondrial DNA (mtDNA) mutations was postulated. Materials and methods: 246 individuals were screened using the PCR-RFLP method, including 70 MS patients examined for mitochondrial haplogroups BM, J, K and M and 176, 149 and 70 normal controls examined for haplogroups BM and M, J and K, respectively. Results and discussion: Our analysis revealed a relatively high proportion of haplogroup BM in MS patients (∼26%) compared to normal controls (∼13%). In addition, a slightly significant increase of MS patients of haplogroup J (20% in MS patients versus 9.39% in normal controls at P-0.049), while haplogroups M and K did not show contribution to MS contingency (2.85 and 2.27%, respectively at P-1.000 in haplogroup M and 12.85 and 7.14% respectively at P-0.399 in haplogroup K).

  • 4. James, T.
    et al.
    Linden, M.
    Huss, M.
    Brandi, Maya
    KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Khademi, M.
    Tegner, J.
    Gomez-Cabrero, D.
    Kockum, I.
    Olsson, T.
    Impact of genetic risk loci in multiple sclerosis on expression of proximal genes2014In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 20, p. 250-251Article in journal (Other academic)
  • 5. Kavaliunas, A.
    et al.
    Manouchehrinia, A.
    Stawiarz, L.
    Ramanujam, Ryan
    KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.).
    Agholme, J.
    Hedstrom, A. K.
    Beiki, O.
    Glaser, A.
    Hillert, J.
    Importance of early treatment initiation in the clinical course of multiple sclerosis2016In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 22, p. 642-642Article in journal (Refereed)
  • 6. Kavaliunas, Andrius
    et al.
    Manouchehrinia, Ali
    Stawiarz, Leszek
    Ramanujam, Ryan
    KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.).
    Agholme, Jonas
    Hedstrom, Anna Karin
    Beiki, Omid
    Glaser, Anna
    Hillert, Jan
    Importance of early treatment initiation in the clinical course of multiple sclerosis2017In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 23, no 9, p. 1233-1240Article in journal (Refereed)
    Abstract [en]

    Objectives: The aim of this study was to identify factors influencing the long-term clinical progression of multiple sclerosis (MS). A special objective was to investigate whether early treatment decisions influence outcome. Methods: We included 639 patients diagnosed with MS from 2001 to 2007. The median follow-up time was 99 months (8.25 years). Cox regression models were applied to identify factors correlating with the outcome variable defined as time from treatment start to irreversible score 4 of the Expanded Disability Status Scale (EDSS). Results: Patients initiated on treatment later had a greater risk of reaching EDSS 4 (hazard ratio of 1.074 (95% confidence interval (CI), 1.048-1.101)), increased by 7.4% for every year of delay in treatment start after MS onset. Patients who started treatment after 3 years from MS onset reached the outcome sooner with hazard ratio of 2.64 (95% CI, 1.71-4.08) compared with the patients who started treatment within 1 year from MS onset. Baseline EDSS and age at onset were found to be predictive factors of disability progression. Conclusion: Early treatment initiation was associated with a better clinical outcome. In addition, we confirmed the well-established prognostic factors of late age at onset and early disability.

  • 7.
    Manouchehrinia, A.
    et al.
    Karolinska Inst, Stockholm, Sweden..
    Chachólski, Wojciech
    KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.). Royal Inst Technol, Stockholm, Sweden..
    Hillert, J.
    Karolinska Inst, Stockholm, Sweden..
    Ramanujam, Ryan
    KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.). Karolinska Inst, Stockholm, Sweden.;Royal Inst Technol, Stockholm, Sweden..
    Topological data analysis to identify subgroups of multiple sclerosis patients with faster disease progression2018In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 24, p. 342-343Article in journal (Other academic)
  • 8.
    Nilsson, Peter
    KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics.
    Affinity proteomics for array based profiling of autoantibody repertoires.2018In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 24, p. 69-70Article in journal (Other academic)
  • 9.
    Olsson, T.
    et al.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Huang, J.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Hellström, Cecilia
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science. Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Tengvall, K.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Kammer, P.
    German Canc Res Ctr, Heidelberg, Germany..
    Bistrom, M.
    Umea Univ, Dept Pharmacol & Clin Neurosci, Umea, Sweden..
    Bomfim, I. Lima
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Stridh, P.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Butt, J.
    German Canc Res Ctr, Heidellberg, Germany..
    Nicole, B.
    German Canc Res Ctr, Heidelberg, Germany..
    Michel, A.
    German Canc Res Ctr, Heidelberg, Germany..
    Ayoglu, Burcu
    KTH, Centres, Science for Life Laboratory, SciLifeLab. Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Lundberg, K.
    Karolinska Inst, Dept Med, Stockholm, Sweden..
    Lundberg, I.
    Karolinska Inst, Dept Med, Stockholm, Sweden..
    Olafsson, S.
    deCode Genet, Reykavik, Iceland..
    Jonsdottir, I.
    deCode Genet, Reykavik, Iceland..
    Stefansson, K.
    deCode Genet, Reykavik, Iceland..
    Dilthey, A.
    Welcome Trust Ctr Human Genet, Oxford, England..
    Hillert, J.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Alfredsson, L.
    Karolinska Inst, Inst Environm Med, Stockholm, Sweden..
    Sundstrom, P.
    Umea Univ, Pharmacol & Clin Neurosci, Umea, Sweden..
    Nilsson, Peter
    KTH, Centres, Science for Life Laboratory, SciLifeLab. Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Waterboer, T.
    German Canc Res Ctr, Heidelberg, Germany..
    Kockum, I.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Molecular mimicry between the autoantigen Anoctamin 2 and Epstein Barr virus nuclear antigen 1 associates with increased risk for multiple sclerosis2018In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 24, p. 64-64Article in journal (Other academic)
  • 10.
    Platten, M.
    et al.
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH). Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Andersson, O.
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH).
    Stawiarz, L.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Hillert, J.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Piehl, F.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Wang, C.
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH).
    Granberg, T.
    Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
    Measuring neurodegeneration in multiple sclerosis with automatic segmentations of Corpus callosum based on deep learning2019In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 25, p. 691-691Article in journal (Other academic)
  • 11.
    Platten, M.
    et al.
    KTH. Karolinska Inst, Stockholm, Sweden.;Royal Inst Technol, Stockholm, Sweden..
    Martola, J.
    Karolinska Inst, Stockholm, Sweden..
    Fink, K.
    Karolinska Inst, Stockholm, Sweden..
    Granberg, T.
    Karolinska Inst, Stockholm, Sweden..
    Precision of manual vs. automated corpus callosum atrophy measurements in multiple sclerosis2018In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 24, p. 209-209Article in journal (Other academic)
  • 12.
    Ramanujam, R.
    et al.
    KTH, School of Engineering Sciences (SCI), Mathematics (Dept.). Karolinska Inst, Sweden.
    Hedstrm, A. K.
    Manouchehrinia, A.
    Alfredsson, L.
    Olsson, T.
    Bottai, M.
    Hillert, J.
    Beneficial effect of smoking cessation on multiple sclerosis prognosis2015In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 21, p. 164-164Article in journal (Other academic)
  • 13.
    Ramanujam, Ryan
    et al.
    KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematics (Div.).
    Hillert, J.
    Manouchehrinia, A.
    Predicting conversion to secondary progressive multiple sclerosis using a clinical decision tree2016In: Multiple Sclerosis, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 22, p. 454-454Article in journal (Refereed)
1 - 13 of 13
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