Unveiling the significance of Gremlin-1 as a novel biomarker for enhanced severity prediction in COVID-19 patients
| dc.authorid | 0000-0002-9536-8101 | |
| dc.contributor.author | Celik, Muhammet | |
| dc.contributor.author | Tekin, Erdal | |
| dc.contributor.author | Kocak, Mehmet Nuri | |
| dc.contributor.author | Uzuncakmak, Sevgi Karabulut | |
| dc.contributor.author | Bayraktar, Mustafa | |
| dc.date.accessioned | 2026-02-28T12:17:58Z | |
| dc.date.available | 2026-02-28T12:17:58Z | |
| dc.date.issued | 2024 | |
| dc.department | Bayburt Üniversitesi | |
| dc.description.abstract | Gremlin-1 is associated with lung disease and plays a role in the initiation and progression of pulmonary fibrosis. This suggests that Gremlin-1 may be associated with lung involvement in COVID-19 and poor clinical outcomes and warrants further investigation. This prospective, cross-sectional, single-blind study was the first to investigate Gremlin-1 levels in COVID-19 patients and whether Gremlin-1 levels could be used to predict and guide clinical follow-up in outpatients and inpatients. In this context, serum Gremlin-1 levels were measured and compared in 2 groups of patients who were diagnosed as positive for COVID-19 by RT-PCR and were followed up as outpatients (n = 28) or required hospitalization (n = 30). The median Gremlin-1 values were statistically significantly different between outpatients and intensive care unit patients (0.367 ng/mL [IQR = 0.377], 1.858 ng/mL [IQR = 2.245], respectively) (P < .0001). The area under the ROC curve value to determine the discriminative power of Gremlin-1 was found to be 0.772 (95% CI: 0.672-0.871; P < .0001), and the cutoff value of Gremlin-1 to discriminate between outpatients and hospitalized patients was found to be 1.242 ng/mL with 66.7% sensitivity and 67.2% specificity. Serum Gremlin-1 level is an important biomarker that can be used as a clinical decision-making tool for COVID-19 positive patients. | |
| dc.identifier.doi | 10.1097/MD.0000000000040001 | |
| dc.identifier.issn | 0025-7974 | |
| dc.identifier.issn | 1536-5964 | |
| dc.identifier.issue | 41 | |
| dc.identifier.pmid | 39465816 | |
| dc.identifier.scopus | 2-s2.0-85207328760 | |
| dc.identifier.scopusquality | Q2 | |
| dc.identifier.uri | https://doi.org/10.1097/MD.0000000000040001 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12403/6052 | |
| dc.identifier.volume | 103 | |
| dc.identifier.wos | WOS:001338585900083 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.indekslendigikaynak | PubMed | |
| dc.language.iso | en | |
| dc.publisher | Lippincott Williams & Wilkins | |
| dc.relation.ispartof | Medicine | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WoS_20260218 | |
| dc.subject | COVID-19 | |
| dc.subject | decision-making | |
| dc.subject | Gremlin-1 | |
| dc.subject | hospitalization | |
| dc.subject | outpatient | |
| dc.subject | prediction | |
| dc.title | Unveiling the significance of Gremlin-1 as a novel biomarker for enhanced severity prediction in COVID-19 patients | |
| dc.type | Article |












