Publications by authors named "Sohyen Kwon"
Article Synopsis
- Classifying myocardial infarction (MI) by subtype is important for effective treatment, yet current biomarkers like troponin aren't specific enough to differentiate between the types.
- Researchers used mass spectrometry to identify new markers that can help distinguish type 1 MI from other conditions that also cause elevated troponin levels.
- Potential distinguishing markers include -1 acid glycoprotein 2, corticosteroid-binding globulin, and serotransferrin, which could, along with clinical indicators like chest pain and ECG results, aid in more accurate diagnosis of type 1 MI.
Establishing a correlation between environmental variables and chemical change can significantly improve the quality of research in multiple fields. Among various environmental variables, temperature and humidity are closely related to the rate of chemical reactions. This study aimed to confirm changes in metabolite markers that were previously discovered in other temperature and humidity environment conditions and to confirm the possibility that they could act as markers.
View Article and Find Full Text PDFMetabolomic research using analytical chemistry methods has been carried out in a wide range of research fields. However, research combining forensic science and metabolomics is rare. Determining the age of bloodstains could provide key information regarding when a crime was committed.
View Article and Find Full Text PDFBloodstains are frequently encountered at crime scenes and they provide important evidence about the incident, such as information about the victim or suspect and the time of death or other events. Efforts have been made to identify the age of the bloodstain's donor through genomic approaches, but there are some limitations, such as the availability of databases and the quality dependence of DNA. There is a need for the development of a tool that can obtain information at once from a small blood sample.
View Article and Find Full Text PDFAim: This study aimed to discover serum metabolite biomarkers for potential use in screening for rheumatoid arthritis (RA).
Methods: The sera from 43 healthy controls (HCs) and 49 RA patients were globally analyzed using high-performance liquid chromatography- tandem mass spectrometry. Molecular features (MFs) from samples were analyzed using volcano plots, partial least squares discriminant analysis, and variable importance in projection scores to select candidates.