Jens Kuhle

Prof. Dr. med. Dr. phil.
Jens Kuhle

Senior Physician
Head Multiple Sclerosis Centre

University Hospital Basel

+41 61 328 71 91



Research Focus


Area of Research

Translational Medicine research in the field of inflammatory and degenerative diseases of the Central Nervous System (CNS), with a focus on multiple sclerosis and the Swiss Multiple Sclerosis Cohort Study (SMSC)

Approved Research Projects

  • Swiss Multiple Sclerosis Cohort-Study (supported by the Swiss MS Society).
  • Towards development of neurofilament light chain as precision medicine biomarker for multiple sclerosis (Swiss National Science Foundation project 320030_189140 / 1, 2019-2023)
  • Neurofilament light chain (NfL) as biomarker of disease activity and therapy response in other CNS diseases (neuromyelitis optica, ALS (Lou Gehrig's disease), cardiovascular diseases/stroke
  • Development of novel biomarkers to define the course of disease in MS and for differentiation towards other CNS diseases


      National Collaborations

      • Swiss MS Cohort Study consortium (MS Centres in Aarau, Bern, Geneva, Lausanne, Lugano, St. Gallen, Zurich)
      • Department of Biomedical Engineering (Prof. C. Granziera, Basel)
      • Medical Image Analysis Centre Basel (Lead Dr. J. Wuerfel)
      • Memory Clinic, Department of Geriatric Medicine (Prof. A. Monsch, Basel)

      International Collaborations

      • University of California, San Francisco (USA)
      • University of Münster (Germany)
      • University of Oxford (UK)

      Ongoing Research Projects

      We aim at exploring and validating new diagnostic tools for patients with CNS diseases. By integrating basic research work on the pathophysiology of biomarkers, specifically on NfL, with data from large size patient cohorts (real-world and clinical trials) we will bring NfL and novel biomarkers to clinical application for better therapeutic decision making in individual patients (precision medicine).

      NfL has been established as a blood-based precision medicine tool in MS and many primary neurodegenerative disease (Alzheimer's disease, amyotrophic lateral sclerosis, among others). We were frontrunners in establishing NfL in MS as marker of a) disease activity, b) drug response, and c) as predictor of the long-term outcome of disability and brain atrophy on the group level. These activities are mainly ongoing in the premises of the DBM with strong statistical/analytical support by the Clinical Trial Unit at the DKF.
      Within a Swiss National Science Foundation project, we pursue now to establish NfL as a diagnostic tool for individual patients for therapeutic decision making.
      In collaboration with a network of imaging researchers at the Department of Neurology Basel and national (Swiss MS Cohort Study consortium) and international (UCSF, University of Münster, University of Oxford) research centres we pursue the following four work packages:

      a)    to characterize the pathophysiology of NfL by elucidating its metabolism and pharmacokinetics (collaboration with BioZentrum mass spectrometry facility, University of Oxford).
      b)    to establish a normative data base from controls over eight decades of age as a reference (international collaboration: Germany, Switzerland, United States)
      c)     to establish blood-based biomarkers characterising demyelination/remyelination (international collaboration) and microglial/glial activation in MS to contextualise NfL signals in stages (relapsing-remitting vs progressive) and states (acute exacerbation vs stable disease phase) of MS
      d)    to establish the correlation of NfL with novel MRI features relating to MS progression (investigation on the relationship between serum NfL and chronic active lesions (phase rim lesions, slowly expanding lesions) in MRI as well as their combined value for treatment response and clinical outcome prediction in MS patients (collaboration with Prof. C. Granziera, Basel)

      This project is based on three sources of patient information and biological samples established in the course of the past eleven years:
      1.    Swiss MS Cohort Study: Comprehensive and prospective follow-up of >1200 MS patients with standardized clinical assessment by certified raters and 6/12 monthly follow-up, with biosample collection and state of the art MRI assessment.
      2.    A biobank of more than 2500 neurological patients processed and stored according standard procedures including aliquoted cerebrospinal fluid, serum, plasma, DNA samples with extensive clinical and paraclinical information from MS and non-MS patients including clinical and paraclinical follow-up.
      3.    A biofluid reference data sets of 13'000 normal control persons; world-leading expertise in high-sensitivity biofluid analysis (blood and CSF), and assay development.

      Together with the Department of Biomedical Engineering (Prof Cristina Granziera; SNF professorship on advanced imaging), Medical Image Analysis Centre Basel (Lead Dr. J. Wuerfel), and the CTU Basel we are evaluating and validating manual and automated technologies for the meanwhile more than 4500 cranial MRI scans acquired within the SMSC. We are applying these technologies and are generating high quality MRI data characterising this large real-world cohort further.
      As a result of the collaboration across academic centres in Switzerland, several scientific projects within the SMSC and in close collaboration with the CTU Basel (Dr P. Benkert/ S. Schädelin, MSc) are ongoing and a number are now close to finalization. Besides the focus on further developing NfL and related biomarkers towards clinical application, these are examples of projects currently under way:
      a)    investigations on MS disease progression independent of relapse activity (PIRA), and effects of disease modifying drugs,
      b)    the prognostic relevance of early CSF profiles on future disease activity and long-term severity outcomes,
      c)    the assessment of digital data in MS for prediction of later disease course further, and
      d)    the value of measuring evoked potentials to predict future outcomes and their potential utility as endpoints for clinical trials.

      Research Team

      Prof. Dr. med. David Leppert


      Phone +41 61 328 67 28


      Aleksandra Maceski

      MSc in Biology

      Phone +41 61 328 63 67


      Dr. Annette Orleth

      Study coordinator

      Phone +41 61 328 67 59


      Suvitha Subramaniam, MSc

      Data scientist

      Phone +41 61 328 59 51


      Dr. med. Johanna Oechtering


      Phone +41 61 328 64 21


      Sabrina Zadic

      MSc in Molecular and Industrial Biotechnology

      Phone -


      Stephanie Victoria Meier 

      PhD candidate

      Phone +41 61 328 63 67 

      Lilian Hauss, MSc

      Study coordinator

      Phone +41 61 556 55 55

      PD Dr. med. Özgür Yaldizli


      Phone +41 61 556 55 54


      Dr. Pascal Benkert

      Data scientist + Biostatistician

      Phone +41 61 556 53 98


      Sabine Schädelin, MSc


      Phone +41 61 556 51 67


      Eline Willemse, PhD


      Phone -
      Email -