Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR
Abstract Pediatric Inflammatory Multisystem Syndrome (PIMS-TS), associated with SARS-CoV-2 infection, is a severe complication after COVID-19 in children. It is caused by the immune reaction to SARS-CoV-2, and usually appears three to six weeks after the infection. Unfortunately, PIMS causes non-spe...
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Nature Portfolio
2025-02-01
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| Online Access: | https://doi.org/10.1038/s41598-025-88976-4 |
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| author | Joanna Depciuch Izabela Sieminska Pawel Jakubczyk Bartosz Klebowski Katarzyna Ptak Izabela Szymońska Przemko Kwinta Maciej Siedlar Jan Jakub Kęsik Magdalena Parlinska-Wojtan Jarek Baran |
| author_facet | Joanna Depciuch Izabela Sieminska Pawel Jakubczyk Bartosz Klebowski Katarzyna Ptak Izabela Szymońska Przemko Kwinta Maciej Siedlar Jan Jakub Kęsik Magdalena Parlinska-Wojtan Jarek Baran |
| author_sort | Joanna Depciuch |
| collection | DOAJ |
| description | Abstract Pediatric Inflammatory Multisystem Syndrome (PIMS-TS), associated with SARS-CoV-2 infection, is a severe complication after COVID-19 in children. It is caused by the immune reaction to SARS-CoV-2, and usually appears three to six weeks after the infection. Unfortunately, PIMS causes non-specific symptoms, which makes its diagnosis and treatment difficult. In this paper, we propose Fourier Transform InfraRed spectrometry (FTIR) to identify chemical changes in blood serum of children induced by PIMS and caused by subsequent treatment of the syndrome. The results suggest that although the Principal Component Analysis (PCA) of FTIR data did not allow for differentiation of healthy children and children with PIMS before and after the treatment, the implementation of Support Vector Machine (SVM) showed that the accuracy of the FTIR region between 800 cm− 1 and 1800 cm− 1 in PIMS detection is as high as 92% with a sensitivity of 100%. The difference in the chemical compositions of sera from the control group and the children after the treatment was detected in 54%, indicating that the treatment was effective. Indeed, the obtained medical data clearly showed a decrease of C-reactive protein (CRP) and Procalcitonin (PCT) concentration in serum after the treatment. The decision tree showed that peak 1455 cm− 1 could be used as a potential FTIR PIMS marker. Importantly, FTIR data correlates well with medical parameters, however the correlation differs with respect to the groups before and after the treatment. |
| format | Article |
| id | doaj-art-5b37819435144f598772e912d0840867 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-5b37819435144f598772e912d08408672025-02-09T12:37:39ZengNature PortfolioScientific Reports2045-23222025-02-0115111110.1038/s41598-025-88976-4Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIRJoanna Depciuch0Izabela Sieminska1Pawel Jakubczyk2Bartosz Klebowski3Katarzyna Ptak4Izabela Szymońska5Przemko Kwinta6Maciej Siedlar7Jan Jakub Kęsik8Magdalena Parlinska-Wojtan9Jarek Baran10Institute of Nuclear Physics, Polish Academy of SciencesInstitute of Veterinary Sciences, University Center of Veterinary Medicine JU-AU, University of Agriculture in KrakowInstitute of Physics, University of RzeszowInstitute of Nuclear Physics, Polish Academy of SciencesDepartment of Pediatrics, Jagiellonian University Medical CollegeDepartment of Pediatrics, Jagiellonian University Medical CollegeDepartment of Pediatrics, Jagiellonian University Medical CollegeDepartment of Clinical Immunology, Chair of Clinical Immunology and Transplantology, Jagiellonian University Medical CollegeDepartment of Vascular Surgery and Angiology, Medical University of LublinInstitute of Nuclear Physics, Polish Academy of SciencesDepartment of Clinical Immunology, Chair of Clinical Immunology and Transplantology, Jagiellonian University Medical CollegeAbstract Pediatric Inflammatory Multisystem Syndrome (PIMS-TS), associated with SARS-CoV-2 infection, is a severe complication after COVID-19 in children. It is caused by the immune reaction to SARS-CoV-2, and usually appears three to six weeks after the infection. Unfortunately, PIMS causes non-specific symptoms, which makes its diagnosis and treatment difficult. In this paper, we propose Fourier Transform InfraRed spectrometry (FTIR) to identify chemical changes in blood serum of children induced by PIMS and caused by subsequent treatment of the syndrome. The results suggest that although the Principal Component Analysis (PCA) of FTIR data did not allow for differentiation of healthy children and children with PIMS before and after the treatment, the implementation of Support Vector Machine (SVM) showed that the accuracy of the FTIR region between 800 cm− 1 and 1800 cm− 1 in PIMS detection is as high as 92% with a sensitivity of 100%. The difference in the chemical compositions of sera from the control group and the children after the treatment was detected in 54%, indicating that the treatment was effective. Indeed, the obtained medical data clearly showed a decrease of C-reactive protein (CRP) and Procalcitonin (PCT) concentration in serum after the treatment. The decision tree showed that peak 1455 cm− 1 could be used as a potential FTIR PIMS marker. Importantly, FTIR data correlates well with medical parameters, however the correlation differs with respect to the groups before and after the treatment.https://doi.org/10.1038/s41598-025-88976-4PIMSFTIRSerum markerLiquid biopsyMachine learning |
| spellingShingle | Joanna Depciuch Izabela Sieminska Pawel Jakubczyk Bartosz Klebowski Katarzyna Ptak Izabela Szymońska Przemko Kwinta Maciej Siedlar Jan Jakub Kęsik Magdalena Parlinska-Wojtan Jarek Baran Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR Scientific Reports PIMS FTIR Serum marker Liquid biopsy Machine learning |
| title | Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR |
| title_full | Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR |
| title_fullStr | Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR |
| title_full_unstemmed | Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR |
| title_short | Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR |
| title_sort | detection of serum composition in pediatric inflammatory multisystem syndrome associated with sars cov 2 and the response for the treatment by ftir |
| topic | PIMS FTIR Serum marker Liquid biopsy Machine learning |
| url | https://doi.org/10.1038/s41598-025-88976-4 |
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