Anna Månberg

Key Publications
Biological signatures in the Alzheimer’s continuum discriminate between diagnosis-related and -unrelated associations to ATN categories
Brain Communications, 2025
Cerebrospinal fluid levels of NfM in relation to NfL and pNfH as prognostic markers in amyotrophic lateral sclerosis
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, 2025
Cerebrospinal fluid levels of NfM in relation to NfL and pNfH as prognostic markers in amyotrophic lateral sclerosis
2024
Robust humoral and cellular immune responses and low risk for reinfection at least 8 months following asymptomatic to mild COVID‐19
Journal of Internal Medicine, 2022
Autoantibody profiles associated with clinical features in psychotic disorders
Translational Psychiatry, 2021

My research is centred around developing and applying affinity proteomics methods allowing for both high-throughput and multiplex protein analysis in human body fluids. We design project-specific protein panels and can make use of the method’s full capacity in terms of multiplexing through a close collaboration with the Human Protein Atlas project providing antibodies to the majority of the human proteome. Collaborations with national and international clinicians and researchers with aligned research interests allow analysis of large and well-characterised sample cohorts.

The overall aim of my research is to find proteins and protein profiles that can help us understand disease pathology with potential for clinical applications and patient stratification. The main focus is currently on amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), Alzheimer’s disease (AD) and psychiatric disorders but we also have ongoing studies and collaborations in the context of other neurological diseases. Data analysis is focused on finding associations of protein levels within and across these diseases making use of available information such as diagnosis and clinical phenotypes. We also apply a more data-driven approach where we move beyond the current clinically defined phenotypes in the search for novel patient subgroups.

Last updated: 2025-11-05

Content Responsible: Hampus Pehrsson Ternström(hampus.persson@scilifelab.uu.se)