Evidence map›Paper›PMID 40169424›Full record

ArticleBiomarkers in medicine2025

PRDX-4: a novel biomarker similar to KL-6 for predicting the occurrence and progression of systemic sclerosis-ILD.

Gizem Tuğçe Alp, İbrahim Vasi, Emre Alp, Aslıhan Avanoğlu Güler, Hazan Karadeniz, Özlem Gülbahar, Abdulsamet Erden, Abdurrahman Tufan, Mehmet Akif Öztürk, Berna Göker and 2 more

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Article in Biomarkers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

12 authors.

Gizem Tuğçe AlpDepartment of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0003-0037-2958
İbrahim VasiDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0003-1900-5752
Emre AlpDepartment of Radiology, Gulhane Training and Research Hospital, Ankara, Turkey.ORCID 0000-0002-2301-7804
Aslıhan Avanoğlu GülerDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0001-9866-9797
Hazan KaradenizDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0003-4665-3421
Özlem GülbaharDepartment of Medical Biochemistry, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0003-0450-4305
Abdulsamet ErdenDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0002-8084-2018
Abdurrahman TufanDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0001-6244-9362
Mehmet Akif ÖztürkDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0001-7203-3934
Berna GökerDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0001-9242-0907
Şeminur HaznedaroğluDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0003-3929-6884
Hamit KüçükDivision of Rheumatology, Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0003-1206-4725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimLungs are among the most affected organs in systemic sclerosis (SSc), with interstitial lung disease (ILD) being a leading cause of mortality. Biomarkers are increasingly explored for predicting SSc-ILD detection and progression. This study evaluates the roles of Krebs von den Lungen-6 (KL-6), surfactant protein D (SP-D), and peroxiredoxin-4 (PRDX-4) in diagnosing SSc-ILD and monitoring progression.

methodsA total of 89 individuals (61 SSc patients and 28 healthy volunteers) were included. SSc patients were grouped based on pulmonary function tests and high-resolution computed tomography findings to determine SSc-ILD presence. Patients with SSc-ILD were further categorized by progressive pulmonary fibrosis (PPF) presence based on 2022 guidelines. Serum KL-6, SP-D, and PRDX-4 levels were measured using the Enzyme-Linked Immuno-Sorbent Assay method.

resultsOf the 61 SSc patients, 34 (55.7%) had ILD. Serum KL-6 and PRDX-4 levels were significantly higher in SSc-ILD patients (

conclusionKL-6 is a well-established biomarker for SSc-ILD, but PRDX-4 offers superior diagnostic accuracy, especially in identifying PPF.

Indexed as

Chitinase-3-Like Protein 1Lung Diseases, InterstitialMucin-1PeroxiredoxinsScleroderma, SystemicAdultAgedBiomarkersCase-Control StudiesDisease ProgressionFemaleHumansMaleMiddle AgedPulmonary Surfactant-Associated Protein DBiomarkersChitinase-3-Like Protein 1MUC1 protein, humanMucin-1PeroxiredoxinsPRDX4 protein, humanPulmonary Surfactant-Associated Protein Dbiomarkersinterstitial lung diseaseKL-6PRDX-4SP-DSystemic sclerosis

Identifiers

PMID40169424
PMCPMC12051532

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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.