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Leštan Ramovš Z, Sodin-Šemrl S, Lakota K, Čučnik S, Manevski D, Zbačnik R, Zupančič M, Verbič M, Terčelj M. Correlation of the High-Resolution Computed Tomography Patterns of Intrathoracic Sarcoidosis with Serum Levels of SAA, CA 15.3, SP-D, and Other Biomarkers of Interstitial Lung Disease. Int J Mol Sci 2023; 24:10794. [PMID: 37445972 DOI: 10.3390/ijms241310794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 06/24/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Studies on the serum biomarkers of granulomatous inflammation and pulmonary interstitial disease in intrathoracic sarcoidosis have shown conflicting results. We postulated that differences in the concentrations of serum biomarkers can be explained by the heterogenous patterns of sarcoidosis seen on thoracic HRCT. Serum biomarker levels in 79 consecutive patients, newly diagnosed with intrathoracic sarcoidosis, were compared to our control group of 56 healthy blood donors. An analysis was performed with respect to HRCT characteristics (the presence of lymph node enlargement, perilymphatic or peribronchovascular infiltrates, ground-glass lesions, or fibrosis), CXR, and disease extent. Serum levels of CXCL9, CXCL10, CTO, and CCL18 were statistically significantly increased in all patients compared to controls. Serum levels of CA15.3 were statistically significantly increased in all patients with parenchymal involvement. SAA was increased in patients with ground-glass lesions while SP-D levels were statistically significantly increased in patients with lung fibrosis. Only SP-D and CA15.3 showed a significant correlation to interstitial disease extent. In conclusion, we found that sarcoidosis patients with different HRCT patterns of intrathoracic sarcoidosis have underlying biochemical differences in their serum biomarkers transcending Scadding stages. The stratification of patients based on both radiologic and biochemical characteristics could enable more homogenous patient selection for further prognostic studies.
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Affiliation(s)
- Zala Leštan Ramovš
- Department of Pulmonary Diseases, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, Slovenia
| | - Snežna Sodin-Šemrl
- Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT), University of Primorska, 6000 Koper, Slovenia
| | - Katja Lakota
- Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT), University of Primorska, 6000 Koper, Slovenia
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
| | - Saša Čučnik
- Department of Rheumatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
- Faculty of Pharmacy, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Damjan Manevski
- Institute for Biostatistics and Medical Informatics, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Rok Zbačnik
- Institute of Radiology, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, Slovenia
| | - Mirjana Zupančič
- Laboratory Department, Children's Hospital, University Medical Center Ljubljana, Zaloška 7, 1000 Ljubljana, Slovenia
| | - Martin Verbič
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Marjeta Terčelj
- Department of Pulmonary Diseases, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, Slovenia
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