SciLifeLab
Browse

File(s) not publicly available

Autoantibodies against PIP4K2B and AKT3 Are Associated with Skin and Lung Fibrosis in Patients with Systemic Sclerosis

dataset
posted on 2023-03-17, 09:17 authored by Marija Geroldinger-Simic, Shaghayegh Bayati, Emmie Pohjanen, Norbert Sepp, Peter Nilsson, Elisa PinElisa Pin

Dataset from Geroldinger-Simic, M.; Bayati, S.; Pohjanen, E.; et al. Autoantibodies against PIP4K2B and AKT3 Are Associated with Skin and Lung Fibrosis in Patients with Systemic Sclerosis. Int J Mol Sci. Accepted on March 2023


Abstract:  Systemic sclerosis (SSc) is a rare autoimmune systemic disease that leads to decreased survival and quality of life due to fibrosis, inflammation, and vascular damage in the skin and/or vital organs. Early diagnosis is crucial for clinical benefit in SSc patients. Our study aimed to identify autoantibodies in the plasma of SSc patients that are associated with fibrosis in SSc. Initially, we performed a proteome-wide screening on sample pools from SSc patients by untargeted autoantibody screening on a planar antigen array (including 42,000 antigens representing 18,000 unique proteins). The selection was complemented with proteins reported in the literature in the context of SSc. A targeted antigen bead array was then generated with protein fragments representing the selected proteins and used to screen 55 SSc plasma samples and 52 matched controls. We found eleven autoantibodies with a higher prevalence in SSc patients than in controls, eight of which were associated with fibrosis. Combining these autoantibodies in a panel could lead to the subgrouping of SSc patients with fibrosis. Anti-Phosphatidylinositol-5-phosphate 4-kinase type 2 beta (PIP4K2B)- and anti-AKT Serine/Threonine Kinase 3 (AKT3)-antibodies should be further explored to confirm their association with skin and lung fibrosis in SSc patients. 


This dataset contains relative continuous as well as binarized autoantibody data, with associated clinical data on the presence of currently clinically available autoantibody biomarkers (e.g. anti-Scl70 and anti-centromere antibodies) and symptomes (e.g. mRSS score, lung fibrosis, digital ulcers, Raynauds, reflux, sicca). 


Data Access Statement

These data constitute sensitive personal information that fall under the GDPR. Therefore, access to data and related code is restricted. The data can be made available for validation purposes, upon reasonable request and in accordance with GDPR.

A reasonable request should contain:
1) Name of PI and host organisation
2) Contact details
3) Scientific purpose of data access request
4) Commitment to inform when the data has been used in a publication
5) Commitment not to host or share the data outside the requesting organisation
6) Statement of non-commercial use of data

Funding

HEalth data LInkage for ClinicAL benefit

European Commission

Find out more...

Swedish Heart Lung Foundation—Hjärt-Lungfonden grant agreement No. 20220373

Clinician scientist grant of the Austrian Society of Dermatology and Venereology

Postdoctoral scholarship for medical doctors in Upper Austria

History

Publisher

KTH Royal Institute of Technology

Access request email

elisa.pin@scilifelab.se

Usage metrics

    Nilsson Lab

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC