Pernilla Stridh

Pernilla Stridh

Researcher
Visiting address: L8:05, CMM Karolinska Universitetssjukhuset Solna, 17176 Solna
Postal address: K8 Klinisk neurovetenskap, K8 Neuro Kockum Stridh, 171 77 Stockholm
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About me

  • I am an Assistant Professor and Team Leader of the Functional Genomics of Neurodegeneration and Inflammation Team within the Department of Clinical Neuroscience at Karolinska Institutet. My research is dedicated to unraveling the complex pathomechanisms underlying neuroinflammation, with a particular focus on progression of multiple sclerosis (MS). By dissecting the genetic architecture of MS, I aim to elucidate how functional effects of genetic variants drive disease susceptibility, severity, and progression.

    With rigorous training in sequence-based genetic analysis at the Wellcome Trust Center for Human Genetics, I have developed profound expertise in human genetics and advanced genomic methodologies. My scientific journey includes three pivotal research visits at deCODE Genetics in Iceland, where I developed innovative approaches that transcend traditional genome-wide association studies and mediation analyses to identify novel MS-risk and progression variants.

    Since 2018, my research has expanded to incorporate low-frequency and rare genetic variants, as well as quantitative traits that characterize MS progression and neurodegeneration, thereby advancing the field’s understanding of disease heterogeneity. My work is supported by prestigious funding from DFG Deutsche Forschungsgemeinschaft and the Swedish Research Council, underscoring the scientific excellence and translational potential of my research in improving treatment strategies for individuals living with MS.

    My merits and awards include:

    ·       Max and Edit Follins Foundation award

    ·       Lennmalms Prize and silver medal for research in neurology

    ·       Short Term Fellow. Wellcome Trust Centre for Human Genetics, Oxford University, UK.

    ·       Research Exchange Fellow. deCODE Genetics, Iceland

Research

  • Multiple sclerosis is a leading cause of progressive, incurable disability in young adults, driven by autoimmune-mediated destruction of myelin and neurons through disruption of the blood-brain barrier, infiltration of immune cells into the central nervous system, and activation of microglia. Extensive research has identified over 200 genetic loci associated with MS, highlighting the central role of dysregulated adaptive immunity in disease susceptibility and pathogenesis. The disease’s unpredictability presents formidable challenges in predicting disease activity and progression. Despite significant advances in managing early-stage MS, the phenomenon of progression without overt inflammation, sometimes called smoldering MS, remains a critical unmet challenge. Chronic inflammation exacerbates neuron loss, highlighting an urgent need for neuroprotective strategies to mitigate neuroinflammation-induced damage and disability.

    My research aims to elucidate the precise biological mechanisms through which neuroinflammation drives neurodegeneration. Although the link between inflammation and neuronal loss is well established, the specific pathways and genetic determinants involved remain largely undefined. By addressing this critical gap, my work seeks to deepen our understanding of neuronal responses to inflammatory stress and to identify genetic factors that enhance neuronal resilience—paving the way for novel therapeutic targets to prevent or mitigate neurodegenerative damage.

    In a comprehensive genome-wide association study, we identified the first genome-wide significant locus for MS severity at DYSF-ZNF638, alongside a suggestive association at the DNM3-PIGC locus. Analyzing 7.8 million imputed autosomal single-nucleotide polymorphisms (SNPs) in 12, 584 individuals with MS in the discovery cohort and 9, 805 in replication, we employed the age-related MS severity score (ARMSS) to quantify disease impact. The implicated genes, expressed predominantly in neurons and oligodendrocytes, underscore the critical role of CNS-intrinsic mechanisms in MS progression, emphasizing neuronal resilience and regenerative capacity. Notably, the DYSF-ZNF638 locus correlates with earlier dependence on walking aids, increased cortical and brainstem lesion burden, accelerated brain atrophy, and cognitive decline, highlighting its profound influence on disease progression. My ongoing research focuses on uncovering additional variants and candidate genes linked to neurodegeneration in MS, aiming to advance our understanding of the molecular drivers of disease progression.

    Harroud A, Stridh P, McCauley J, et al. Locus for severity implicates CNS resilience in progression of multiple sclerosis. Nature. 2023;619(7969):329-331. PMID: 37380766. DOI: https://www.nature.com/articles/s41586-023-06250-x.

    Harris Beecham A, Stridh P. Insights into the genetic architecture of multiple sclerosis severity. Nature. 2023:10.1038/d41586-023-01787-3. PMID: 37380837. DOI: https://www.nature.com/articles/d41586-023-01787-3.

    A central focus of my research is to identify robust outcome predictors that enhance prognostic accuracy and enable tailored clinical management. My prior work has elucidated the genetic architecture and functional genomics of neuroinflammation through integrative analyses of experimental models and patient cohorts. Leveraging large-scale genome-wide association (GWA) studies from extensive case-control and within-case cohorts, I have identified genetic determinants of MS susceptibility and severity, including rare variants, complemented by sequence-based approaches to pinpoint causal variants in experimental systems. While these findings have advanced our understanding of genetic risk, the functional mechanisms involved in MS progression remain to be fully elucidated.

Teaching

  • In my role as a teacher, I am committed to combining deep subject-matter expertise with advanced pedagogical skills and active research engagement. This enables me to communicate complex concepts with clarity and precision, foster meaningful understanding and engagement, and inspire the next generation of teachers and researchers in medicine, multiple sclerosis, and neuroinflammation. My expertise encompasses a comprehensive and nuanced understanding of genetics, epigenetics, multiple sclerosis, biostatistics, and research methodology. I currently teach at undergraduate, master’s, and doctoral levels at Karolinska Institutet and have developed, organized, and served as examiner for the following courses:

    Doctoral course K8F3200: in Clinical and Experimental Neuroimmunology (1.5 hp), part of the Neuroscience and Allergy, Immunology and Inflammation doctoral programs. https://doctoralcourses.application.ki.se/fubasextern/info?kurs=K8F3200

    Master course 4TX030: Applications of Methods in Toxicological Research, Biostatistics 1 block (1.5 hp), part of the Master’s program in Toxicology at the Institute of Environmental Medicine. https://education.ki.se/course-and-programme-syllabi/course-syllabus-4TX030

    Master course 4TX037: Molecular and Cellular Toxicology, Biostatistics 2 block (2.25 hp), part of the Master’s program in Toxicology at the Institute of Environmental Medicine. https://education.ki.se/course-and-programme-syllabi/course-syllabus-4TX037

    Master course 4TX038: Risk Assessment and In Silico Toxicology, Biostatistics 2 block (2.25 hp), part of the Master’s program in Toxicology at the Institute of Environmental Medicine. https://education.ki.se/course-and-programme-syllabi/course-syllabus-4TX038

    Beyond these, I lecture in multiple courses, including Neuroinflammatory Conditions in the Central Nervous System, Focusing on Neuroimmunlogy (2LK092), Frontiers of Translational Medicine (MT012), and Immunology: Hacking Your Immune System for Health in the Region Stockholm Clinical Research School.

    I supervise students in the Medical program and Master’s program in Biomedicine at Karolinska Institutet and in the Cell and Molecular Biology program at Uppsala University, and PhD students at Karolinska Institutet and Umeå University.

Selected publications

  • Letter: MULTIPLE SCLEROSIS JOURNAL. 2024;30(10):1385-1386
    Stridh P; Huang J; Kockum I
  • Article: ANNALS OF NEUROLOGY. 2023;94(6):1080-1085
    Gasperi C; Wiltgen T; Mcginnis J; Cerri S; Moridi T; Ouellette R; Pukaj A; Voon C; Bafligil C; Lauerer M; Andlauer TFM; Held F; Aly L; Shchetynsky K; Stridh P; Harroud A; Wiestler B; Kirschke JS; Zimmer C; Baras A; Piehl F; Berthele A; Granberg T; Kockum I; Hemmer B; Muehlau M
  • Article: NATURE. 2023;619(7969):323-331
    Harroud A; Stridh PJ; McCauley JH; Saarela J; van den Bosch AMR; Engelenburg H; Beecham A; Alfredsson L; Alikhani K; Amezcua L; Andlauer TFM; Ban M; Barcellos L; Barizzone N; Berge T; Berthele A; Bittner S; Bos S; Briggs FBS; Caillier S; Calabresi P; Caputo D; Carmona-Burgos D; Cavalla P; Celius E; Cerono G; Chinea A; Chitnis T; Clarelli F; Comabella M; Comi G; Cotsapas C; Cree BCA; D'Alfonso S; Dardiotis E; De Jager P; Delgado S; Dubois B; Engel S; Esposito F; Fabis-Pedrini M; Filippi M; Fitzgerald K; Gasperi C; Gomez L; Gomez R; Hadjigeorgiou G; Hamann J; Held F; Henry R; Hillert J; Huang J; Huitinga I; Islam T; Isobe N; Jagodic M; Kermode AL; Khalil M; Kilpatrick T; Konidari I; Kreft K; Lechner-Scott J; Leone M; Luessi F; Malhotra S; Manouchehrinia A; Manrique C; Martinelli-Boneschi F; Martinez A; Martinez-Maldonado V; Mascia E; Metz L; Midaglia L; Montalban X; Oksenberg J; Olsson T; Oturai A; Paakkonen K; Parnell GP; Patsopoulos N; Pericak-Vance M; Piehl F; Rubio J; Santaniello A; Santoro S; Schaefer C; Sellebjerg F; Shams H; Shchetynsky K; Silva C; Siokas V; Sondergaard H; Sorosina M; Taylor B; Vandebergh M; Vasileiou E; Vecchio D; Voortman M; Weiner H; Wever D; Yong VW; Hafler D; Stewart G; Compston A; Zipp F; Harbo H; Hemmer B; Goris A; Smolders J; Hauser S; Kockum I; Sawcer S; Baranzini S; Jonsdottir I; Blanco Y; Llufriu S; Madireddy L; Saiz A; Villoslada P; Stefansson K; Harbo HF; Hemmer B; Goris A; Kockum I; Sawcer SJ; Baranzini SE
  • Article: NPJ GENOMIC MEDICINE. 2017;2:24
    Olafsson S; Stridh P; Bos SD; Ingason A; Euesden J; Sulem P; Thorleifsson G; Gustafsson O; Johannesson A; Geirsson AJ; Thorsson AV; Sigurgeirsson B; Ludviksson BR; Olafsson E; Kristjansdottir H; Jonasson JG; Olafsson JH; Orvar KB; Benediktsson R; Bjarnason R; Kristjansdottir S; Gislason T; Valdimarsson T; Mikaelsdottir E; Sigurdsson S; Jonsson S; Rafnar T; Aarsland D; Djurovic S; Fladby T; Knudsen GP; Celius EG; Myhr K-M; Grondal G; Steinsson K; Valdimarsson H; Bjornsson S; Bjornsdottir US; Bjornsson ES; Nilsson B; Andreassen OA; Alfredsson L; Hillert J; Kockum IS; Masson G; Thorsteinsdottir U; Gudbjartsson DF; Stefansson H; Hjaltason H; Harbo HF; Olsson T; Jonsdottir I; Stefansson K

Articles

All other publications

Selected grants

  • Deutsche Forschungsgemeinschaft
    1 January 2025 - 31 December 2028
    We hypothesise that the ability of neurons to survive and function under the inflammatory conditions is, to a considerable degree, under genetic control. Notably, identifying such genes will not only give insights into the molecular causes of neurodegeneration but also provide potential therapeutic targets to halt disease progression. Specifically, we aim to: • Identify candidate genes for MS severity for mechanistic studies (WP A) • Establish the role of the hallmark genes of inflamed neurons in MS development (WP B) • Evaluate the relative contribution of immune vs. CNS reactions to MS progression (WP C) We aim to characterize molecular targets that predispose for disease outcomes in persons with MS. For that purpose, we have built the most powerful cohorts and datasets for genetic and mediation analysis. Joining forces with NeuroFlame will provide highly relevant functional context for the mechanistic characterization of risk genes. We will utilize NeuroFlame’s epigenetic, transcriptomic and pathology data to fine-map risk loci. The NeuroFlame expertise will facilitate the prioritization of candidate genes and their functional characterization. In turn, we will investigate if the genes in hallmark pathways of inflamed neurons associate with MS outcomes, thus providing a strong link with their causal involvement in disease.
  • Improving prediction and prognosis of multiple sclerosis; algorithmic approaches and biomarkers
    The Swedish Research Council
    1 January 2025 - 31 December 2029
    Multiple Sclerosis (MS), a complex autoimmune disorder affecting mainly young adults, with a higher prevalence in women. Its diverse symptoms and inherent progression complexity hinder early detection and personalized prognostic evaluations. This proposal aspires to enhance health outcomes, elucidate MS’s intricate mechanisms, and reduce neurological disabilities through innovative, transformative methodologies. The objective is to develop advanced predictive models by harnessing extensive multimodal data, facilitating early detection, and personalized interventions. The project is organized in 6 different but interconnected tasks and will run for 5 years. We will integrate clinical, lifestyle, and 'omics' data. By targeting the prodromal phase of MS, we aspire to devise impactful intervention strategies and project disease progression, with Artificial Intelligence (AI) serving as the cornerstone for analyzing data. We will test the MS prediction among first degree relatives. We will also identify biomarkers for MS risk and severity and genetic factors associated with MS severity. A special focus will be on role of sex hormones. Employing advanced analytical techniques, network theories, autoencoders and deep learning, we will probe the multifaceted nature of MS using one of the world’s leading MS-specific databases. This will contribute to more comprehensive and individualized MS treatment approaches.
  • Genetic determinants of neurodegeneration during central nervous system inflammation
    Karolinska Institutet
    1 January 2024 - 31 December 2027
    The overall aim is to characterize the biological mechanisms involved in determining disease trajectories and clinical outcomes in individuals affected by multiple sclerosis (MS). Grounded in the premise of the causal relationship between a genetic variation and an associated trait, we aim to characterize molecular and cellular mechanisms underlying the effect of genetic variants associated with MS severity. While identifying association of a trait with genomic loci genome-wide has become a routine, the detection of underlying molecular mechanisms is still notoriously challenging. The vast majority of associations reside in intergenic regions, often displaying a complex time- and tissue-specific regulatory effect on surrounding genes. We hypothesise that the ability of neurons to survive and function under inflammatory conditions is, to a considerable degree, under genetic control. Notably, identifying such genes will provide insights into the molecular causes of neurodegeneration and provide potential therapeutic targets to halt disease progression. Specifically, we aim to: Identify candidate genes for MS severity for mechanistic studies Establish the role of hallmark genes of inflamed neurons in MS development Evaluate the relative contribution of immune CNS reactions to MS progression For these aims, we have built the most powerful cohorts and datasets for genetic and mediation analysis. Genome-wide genotyping has already been completed in 14,500 MS cases from the Swedish cohort (collaboration with deCODE Genetics). In addition, 3,500 of the MS cases have also been whole genome sequenced using the Illumina HiSeq X Ten method. Through collaboration we have access to deCODE’s excellent Scandinavian reference panel for imputation of near sequence-level genotypes. The seq-imputation results in > 40 million high quality genetic variants, improving the precision of any identified associations. Moreover, we will focus on novel clinical outcomes of disability progression, such as ‘relapse-associated worsening’, ‘progression independent of relapse activity’ (PIRA), and brain atrophy, which is frequently observed in patients and appears to account for most of disability accumulation. By establishing a genetic link between MS phenotypes and pathways known to govern inflamed neurons, we can infer a causal role in MS in general, and in a particular clinical context, which is currently missing.
  • Genes that drive severity and progression of MS.
    Margaretha af Ugglas Foundation
    1 January 2024 - 31 December 2025

Grants

  • Improving prediction of multiple sclerosis, algorithmic approaches and biomarkers
    Region Stockholm ALF Medicin
    1 January 2026 - 31 December 2028
    Multiple Sclerosis (MS), a complex autoimmune disorder affecting mainly young adults, with a higher prevalence in women. Its diverse symptoms and inherent progression complexity hinder early detection and personalized prognostic evaluations. This proposal aspires to enhance health outcomes, elucidate MS’s intricate mechanisms, and reduce neurological disabilities through innovative, transformative methodologies. The objective is to develop advanced predictive models by harnessing extensive multimodal data, facilitating early detection, and personalized interventions. The project is organized in 4 different but interconnected tasks and will run for 3 years. We will integrate clinical, lifestyle, and 'omics' data. By targeting the prodromal phase of MS, we aspire to devise impactful intervention strategies and project disease progression, with Artificial Intelligence (AI) serving as the cornerstone for analyzing data. We will test the MS prediction among first degree relatives. We will also identify biomarkers for MS risk. A special focus will be on role of sex hormones. Employing advanced analytical techniques, network theories, autoencoders and deep learning, we will probe the multifaceted nature of MS using one of the world’s leading MS-specific databases. This will contribute to earlier diagnosis of MS and opening up for reduction of the disease by personalized changes in lifestyle and possibly preventative treatments in the future.
  • Genetic and environmental risk clustering to identifydistinct trajectories in Multiple Sclerosis
    NEURO Sweden
    1 January 2023 - 31 December 2023
  • Genetic and environmental risk clustering to identifydistinct trajectories in Multiple Sclerosis
    NEURO Sweden
    1 January 2022 - 31 December 2022
  • Genetic and protein biomarkers for severity of multiple sclerosis
    Karolinska Institutet
    1 January 2022 - 31 December 2025
  • Genetic and protein biomarkers for risk and severity of multiple sclerosis
    Swedish Research Council
    1 January 2021 - 31 December 2025
  • Genes and environmental exposures that drive MS progression
    Margaretha af Ugglas Foundation
    1 January 2021 - 31 December 2023
  • Genetics and pathogenesis of Multiple Sclerosis severity and progression
    NEURO Sweden
    1 January 2019 - 31 December 2019
  • Genes that drive severity and progression of MS
    Margareta af Ugglas Foundation
    1 January 2018 - 31 December 2020
  • Genetics and Pathogenesis of neuroinflammation with a focus on Multiple Sclerosis
    Swedish Research Council
    1 January 2018 - 31 December 2022
  • Genetics and pathogenesis of Multiple Sclerosis severity and progression
    NEURO Sweden
    1 January 2018 - 31 December 2018
  • Discovering causes of Multiple Sclerosis in whole genome sequenced individuals
    Lars Hiertas Memorial Foundation
    1 January 2018 - 31 December 2018
  • MS-causing gene variants identified in whole-genome sequenced individuals
    MS Research Foundation
    1 January 2017 - 31 December 2019
  • Sjukdoms-orsakande genvarianter för multipel skleros identifieras i DNA-sekvenserade individer
    Lars Hiertas Memorial Foundation
    1 January 2017 - 31 December 2017
  • Discovering causes of Multiple Sclerosis by integrated sequence and genetic mapping
    NEURO Sweden
    1 January 2017 - 31 December 2017
  • Discovering causes of Multiple Sclerosis by integrated DNA sequence and genetic mapping
    Lars Hiertas Memorial Foundation
    1 January 2016 - 31 December 2016
  • Discovering causes of Multiple Sclerosis by integrated sequence and genetic mapping
    NEURO Sweden
    1 January 2016 - 31 December 2016
  • Integrated sequence and genetic mapping in autoimmune neuroinflammation:
    NEURO Sweden
    1 January 2014 - 31 December 2014
  • Inheritance of Experimental Inflammation
    Karolinska Institutet
    1 January 2012 - 31 December 2011
  • Autoimmune Neuroinflammation in the Heterogeneous Stock of Rats
    NEURO Sweden
    1 January 2010 - 31 December 2010
  • Heterosis drives neuroinflammation regulated by Eae23
    NEURO Sweden
    1 January 2008 - 31 December 2009
  • Short Term Fellowship: Statistical Analysis of the Heterogeneous Stock of Rats
    European Union
    1 January 2008 - 31 December 2008
  • Heterosis in Eae23 drives neuroinflammation
    NEURO Sweden
    1 January 2007 - 31 December 2007
  • Short Term Fellowship: Combined Sequence-based and Genetic Mapping Analysis
    European Union
  • Show more

Employments

  • Researcher, Department of Clinical Neuroscience, Karolinska Institutet, 2019-

Degrees and Education

  • Degree Of Doctor Of Philosophy, Department of Clinical Neuroscience, Karolinska Institutet, 2010
  • Bachelor of Science, Psychology: Cognitive Neuroscience, The effects of neural insult on awareness level and cognitive processing during stroke, Psychology, Boise State University, 2004
  • Bachelor of Science, Biology: Human Biology, Biology, Boise State University, 2004

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