Evidence map›Paper›PMID 37753072›Full record

ArticleFrontiers in immunology2023

Proteomic aptamer analysis reveals serum biomarkers associated with disease mechanisms and phenotypes of systemic sclerosis.

Francesca Motta, Antonio Tonutti, Natasa Isailovic, Angela Ceribelli, Giovanni Costanzo, Stefano Rodolfi, Carlo Selmi, Maria De Santis

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

8 authors at 3 institutions in 1 country.

Francesca MottaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Antonio TonuttiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Natasa IsailovicRheumatology and Clinical Immunology, Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Rozzano, Italy.
Angela CeribelliDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Giovanni CostanzoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Stefano RodolfiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Carlo SelmiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Maria De SantisDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Humanitas University · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIRCCS Humanitas Research Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic sclerosis (SSc) is an autoimmune connective tissue disease that affects multiple organs, leading to elevated morbidity and mortality with limited treatment options. The early detection of organ involvement is challenging as there is currently no serum marker available to predict the progression of SSc. The aptamer technology proteomic analysis holds the potential to correlate SSc manifestations with serum proteins up to femtomolar concentrations. Methods: This is a two-tier study of serum samples from women with SSc (including patients with interstitial lung disease - ILD - at high-resolution CT scan) and age-matched healthy controls (HC) that were first analyzed with aptamer-based proteomic analysis for over 1300 proteins. Proposed associated proteins were validated by ELISA first in an independent cohort of patients with SSc and HC, and selected proteins subject to further validation in two additional cohorts. Results: The preliminary aptamer-based proteomic analysis identified 33 proteins with significantly different concentrations in SSc compared to HC sera and 9 associated with SSc-ILD, including proteins involved in extracellular matrix formation and cell-cell adhesion, angiogenesis, leukocyte recruitment, activation, and signaling. Further validations in independent cohorts ultimately confirmed the association of specific proteins with early SSc onset, specific organ involvement, and serum autoantibodies. Conclusions: Our multi-tier proteomic analysis identified serum proteins discriminating patients with SSc and HC or associated with different SSc subsets, disease duration, and manifestations, including ILD, skin involvement, esophageal disease, and autoantibodies.

Indexed as

ProteomicsScleroderma, SystemicAutoantibodiesBiomarkersFemaleHumansPhenotypeAutoantibodiesBiomarkersaptamer technologyconnective tissue diseaseimmunologyinterstitial lung diseaseproteomics

Identifiers

PMID37753072
PMCPMC10518467
OpenAlexW4386605043

What OpenQuestion holds

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Registered trials

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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.