šŸ‘¤ Anna Rostedt Punga

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2
Articles
2
Name variants
Also published as: Tanel Punga
articles
Amol K Bhandage, Sarah Hoffmann, Carla Dusemund +6 more Ā· 2025 Ā· European journal of neurology Ā· Blackwell Publishing Ā· added 2026-04-24
Myasthenia gravis (MG) lacks disease-specific biomarkers that can support monitoring of disease activity or guide treatment decisions. This study aimed to validate serum inflammatory proteins as MG-sp Show more
Myasthenia gravis (MG) lacks disease-specific biomarkers that can support monitoring of disease activity or guide treatment decisions. This study aimed to validate serum inflammatory proteins as MG-specific biomarkers by comparing their specificity to controls and individuals with other autoimmune neurological disorders, including multiple sclerosis (MS) and chronic inflammatory demyelinating polyneuropathy (CIDP). In this multicentre cross-sectional study, serum from 200 acetylcholine receptor antibody seropositive (AChR+) MG patients, 192 matched controls, 93 MS patients, and 51 CIDP patients was analyzed using a 92-plex inflammation panel (Olink PEA). Logistic regression, principal component analysis, and Boruta machine learning algorithms identified differentially expressed proteins. MG subgroups were defined by age at onset, disease severity, and immunosuppressive treatment. Fourteen proteins significantly distinguished MG from controls, including AXIN1 (OR: 0.24), IL7 (OR: 9.38), ST1A1 (OR:0.42), IL10 (OR:3.62), CASP-8 (OR:1.61), and TNFSF14 (OR:0.50) (Bonferroni-corrected p < 0.00135). AXIN1, ST1A1, STAMBP, CDCP1, and SIRT2 were specific for MG, separating it from MS and CIDP. Shared markers across disorders included IL6, IL8, STAMBP, and TNFSF14. A 15-protein profile, including FGF-23 and CXCL9, correlated with MG severity. Subgroup analyses revealed distinct protein patterns by age and treatment. TRANCE and CD6 were reduced in immunosuppressed patients, whereas EN-RAGE, IL10, and TNFRSF9 varied in those receiving biologicals. This study validates the MG-specific serum proteomic biomarkers AXIN1, STAMBP, ST1A1, CDCP1, and SIRT2 and identifies signatures associated with severity, onset, and treatment. These findings support the use of blood-based biomarkers for monitoring and stratification in MG clinical trials and care. Show less
šŸ“„ PDF DOI: 10.1111/ene.70426
AXIN1
Mehdi Motallebipour, Stefan Enroth, Tanel Punga +6 more Ā· 2009 Ā· The FEBS journal Ā· Blackwell Publishing Ā· added 2026-04-24
Sterol regulatory element-binding proteins 1 and 2 (SREBP-1 and SREBP-2) are important regulators of genes involved in cholesterol and fatty acid metabolism, but have also been implicated in the regul Show more
Sterol regulatory element-binding proteins 1 and 2 (SREBP-1 and SREBP-2) are important regulators of genes involved in cholesterol and fatty acid metabolism, but have also been implicated in the regulation of the cell cycle and have been associated with the pathogenesis of type 2 diabetes, atherosclerosis and obesity, among others. In this study, we aimed to characterize the binding sites of SREBP-1 and RNA polymerase II through chromatin immunoprecipitation and microarray analysis in 1% of the human genome, as defined by the Encyclopaedia of DNA Elements consortium, in a hepatocellular carcinoma cell line (HepG2). Our data identified novel binding sites for SREBP-1 in genes directly or indirectly involved in cholesterol metabolism, e.g. apolipoprotein C-III (APOC3). The most interesting biological findings were the binding sites for SREBP-1 in genes for host cell factor C1 (HCFC1), involved in cell cycle regulation, and for filamin A (FLNA). For RNA polymerase II, we found binding sites at classical promoters, but also in intergenic and intragenic regions. Furthermore, we found evidence of sterol-regulated binding of SREBP-1 and RNA polymerase II to HCFC1 and FLNA. From the results of this work, we infer that SREBP-1 may be involved in processes other than lipid metabolism. Show less
no PDF DOI: 10.1111/j.1742-4658.2009.06914.x
APOC3