Evidence map›Paper›PMID 36982700›Full record

ArticleInternational journal of molecular sciences2023

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

Marija Geroldinger-Simić, Shaghayegh Bayati, Emmie Pohjanen, Norbert Sepp, Peter Nilsson, Elisa Pin

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Special Issue "Deployment of Proteomics Approaches in Biomedical Research".International journal of molecular sciences · 2024
    Article
  3. Biomarkers in Systemic Sclerosis: An Overview.Current issues in molecular biology · 2023
    Review
  4. Review
  5. Journal of oral and maxillofacial pathology : JOMFP
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Marija Geroldinger-SimićDepartment of Dermatology and Venereology, Ordensklinikum Linz Elisabethinen, 4020 Linz, Austria.ORCID 0000-0003-2789-1862
Shaghayegh BayatiDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, 171 65 Stockholm, Sweden.ORCID 0000-0002-3745-4570
Emmie PohjanenDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, 171 65 Stockholm, Sweden.
Norbert SeppDepartment of Dermatology and Venereology, Ordensklinikum Linz Elisabethinen, 4020 Linz, Austria.
Peter NilssonDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, 171 65 Stockholm, Sweden.
Elisa PinDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, 171 65 Stockholm, Sweden.ORCID 0000-0002-2158-2674
Science for Life Laboratory · SEJohannes Kepler University of Linz · ATKrankenhaus der Elisabethinen · AT

Funding

Clinician scientist grant of the Austrian Society of Dermatology and VenereologyEuropean Union's Horizon 2020 "HEalth data Linkage for ClinicAL benefit" training network, under the Marie Skłodowska-Curie 813545Postdoctoral scholarship for medical doctors in Upper AustriaSwedish Heart-Lung Foundation 20220373
6 · The paper itself

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 bound to proteins 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.

Indexed as

Autoimmune DiseasesPulmonary FibrosisScleroderma, SystemicAutoantibodiesFibrosisHumansPhosphotransferases (Alcohol Group Acceptor)Proto-Oncogene Proteins c-aktQuality of LifeAKT3 protein, humanAutoantibodiesPhosphotransferases (Alcohol Group Acceptor)PIP4K2B protein, humanProto-Oncogene Proteins c-aktautoantibody profilingbiomarkerslung fibrosisprotein arrayskin fibrosissystemic sclerosis

Identifiers

PMID36982700
PMCPMC10051301
OpenAlexW4327620152

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.