Sandra Hellberg

Assistant Professor

News

Severe MS predicted using machine learning

A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals. The proteins could be used to tailor treatments to the individual based on the expected severity of the disease.

BKV triples its commitment to gender equality and equal opportunities

BKV doesn't stand still when it comes to equal opportunities – they triple their commitment! Emma, Sandra, and Francisca are the trio that now wants to make the workplace menstruation friendly as part of their gender equality efforts.

Why women with multiple sclerosis get better when pregnant

Women suffering from multiple sclerosis temporarily get much better when pregnant. Researchers have now identified the beneficial changes naturally occurring in the immune system during pregnancy. The findings can show the way to new treatments.

Publications

2025

Maike Bensberg, Aida Selimovic, Lisa Haglund, Júlia Goldmann, Sandra Hellberg, Colm Nestor (2025)

Exposing the DNA methylation-responsive compartment of the leukaemic genome in T-ALL cell lines support its potential as a novel therapeutic target in T-ALL CLINICAL EPIGENETICS, Vol. 17, Article 114 (Article in journal)

https://dx.doi.org/10.1186/s13148-025-01915-y

2024

Maria Svenvik, Maria Jenmalm, Lars Brudin, Johanna Raffetseder, Sandra Hellberg, Daniel Axelsson, Gunnel Lindell, Marie Blomberg, Jan Ernerudh (2024)

Chemokine and cytokine profiles in preterm and term labor, in preterm prelabor rupture of the membranes, and in normal pregnancy Journal of Reproductive Immunology, Vol. 164, Article 104278 (Article in journal)

https://dx.doi.org/10.1016/j.jri.2024.104278

Maria Svenvik, Johanna Raffetseder, Lars Brudin, Göran Berg, Sandra Hellberg, Marie Blomberg, Maria C. Jenmalm, Jan Ernerudh (2024)

Early prediction of spontaneous preterm birth before 34 gestational weeks based on a combination of inflammation-associated plasma proteins Frontiers in Immunology, Vol. 15, Article 1415016 (Article in journal)

https://dx.doi.org/10.3389/fimmu.2024.1415016

Anna J. Henningsson, Sandra Hellberg, Maria Lerm, Shumaila Sayyab (2024)

Genome-wide DNA Methylation Profiling in Lyme Neuroborreliosis Reveals Altered Methylation Patterns of HLA Genes Journal of Infectious Diseases, Vol. 229, p. 1209-1214 (Article in journal)

https://dx.doi.org/10.1093/infdis/jiad451

2023

Julia Åkesson, Sara Hojjati, Sandra Hellberg, Johanna Raffetseder, Mohsen Khademi, Robert Rynkowski, Ingrid Kockum, Claudio Altafini, Zelmina Lubovac-Pilav, Johan Mellergård, Maria Jenmalm, Fredrik Piehl, Tomas Olsson, Jan Ernerudh, Mika Gustafsson (2023)

Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis Nature Communications, Data for: Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis, Vol. 14, Article 6903 (Article in journal)

https://dx.doi.org/10.1038/s41467-023-42682-9