Autoantibodies against PIP4K2B and AKT3 Are Associated with Skin and Lung Fibrosis in Patients with Systemic Sclerosis
type: Dataset
description: 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, …
conditions of access: https://publications.europa.eu/resource/authority/access-right/NON_PUBLIC
conditions of access: info:eu-repo/semantics/restrictedAccess
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Marija Geroldinger-Simic
creator: Shaghayegh Bayati
creator: Emmie Pohjanen
creator: Norbert Sepp
creator: Peter Nilsson
creator: Elisa Pin
date modified: 2023-03-17
date published: 2023-03-17
funding: HEalth data LInkage for ClinicAL benefit
  type: Grant
  funder: European Commission
keywords: Medical and Health Sciences
  type: DefinedTerm
  term code: 3
keywords: Autoimmunity and Inflammation
  type: DefinedTerm
  term code: 30226
keywords: Autoimmunity
publisher: Royal Institute of Technology
version: 0

PropertyValue
property ID: DOI
value: 10.17044/SCILIFELAB.22269211

Marija Geroldinger-Simic
type: Person
family name: Geroldinger-Simic
given name: Marija

Shaghayegh Bayati
type: Person
family name: Bayati
given name: Shaghayegh

Emmie Pohjanen
type: Person
family name: Pohjanen
given name: Emmie

Norbert Sepp
type: Person
family name: Sepp
given name: Norbert

Peter Nilsson
type: Person
family name: Nilsson
given name: Peter

Elisa Pin
type: Person
affiliation: Science for Life Laboratory
family name: Pin
given name: Elisa

Science for Life Laboratory
type: Organization

European Commission
type: Organization

Royal Institute of Technology
type: Organization