Elisa Pin

KTH Royal Institute of Technology

Key Publications

1. Shaghayegh Bayati, Jamsheela Nazeer, James Ng, Angel Mary George, Michael Hayes, Mark A. Little, Peter Nilsson, Elisa Pin (2024) Autoantibodies towards HFE and SYT5 in anti-neutrophil cytoplasm antibody-associated vasculitis relapse. Rheumatology 14:keae540. link: https://pmc.ncbi.nlm.nih.gov/articles/PMC12048051/; doi: 10.1093/rheumatology/keae540.

2. Federica Mescia, Shaghayegh Bayati, Elisabeth Brouwer, Peter Heeringa, Erik J M Toonen, Marijke Beenes, Miriam J Ball, Andrew J Rees, Renate Kain, Paul A Lyons, Peter Nilsson, Elisa Pin (2023) Autoantibody Profiling and Anti-Kinesin Reactivity in ANCA-Associated Vasculitis. International journal of molecular sciences Oct 19;24(20):15341. link: https://pmc.ncbi.nlm.nih.gov/articles/PMC10607136/; doi: 10.3390/ijms242015341.

3. Marija Geroldinger-Simić, Shaghayegh Bayati, Emmie Pohjanen, Norbert Sepp, Peter Nilsson, Elisa Pin (2023) Autoantibodies against PIP4K2B and AKT3 Are Associated with Skin and Lung Fibrosis in Patients with Systemic Sclerosis. International journal of molecular sciences 2023 Mar 15;24(6):5629. link: https://pmc.ncbi.nlm.nih.gov/articles/PMC10051301/; doi: 10.3390/ijms24065629

My research focuses on understanding autoimmune and inflammatory diseases through comprehensive profiling of proteins and autoantibodies in patient samples. To achieve this, we use affinity-based proteomic technologies that allow us to measure large numbers of targets simultaneously from small volumes of serum or plasma. A key component of the work is the development of panels of antigens and proteins tailored to specific research questions. Through our close collaboration with the Human Protein Atlas, we are able to access broad antibody and antigen collections covering the majority of the human proteome.

Our research is embedded in a strong research network involving clinical partners in Sweden and abroad. This provides access to well-defined patient cohorts and detailed clinical datasets.

The overall goal is to uncover autoantibody and protein signatures that could support improved patient stratification and offer new insight into the biology of the disease. Much of our current work focuses on systemic autoimmune rheumatic disorders, but we also engage in collaborative studies across additional autoimmune and inflammatory conditions. Analytical efforts include hypothesis-driven evaluation of profiles and we aim to explore broader data-driven approaches to identify subgroups of patients not captured by current clinical definitions.

Last updated: 2025-12-03

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