Yazar "Yonar, Dilek" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • Küçük Resim
    Öğe
    Infrared spectroscopy offers tremendous potential in cancer diagnosis
    (Cell Press, 2019) Severcan, Feride; Abbas, Sherif; Yonar, Dilek; Emri, Salih
    All over the word, scientists are actively engaged in the characterization, screening and diagnosis of different pathological conditions. Ideally, the aim is to monitor the system of interest, without disturbing it, in a sensitive, rapid and operated manner at minimum cost.
  • Küçük Resim
    Öğe
    Rapid diagnosis of malignant pleural mesothelioma and its discrimination from lung cancer and benign exudative effusions using blood serum
    (2022) Yonar, Dilek; Severcan, Mete; Gurbanov, Rafig; Sandal, Abdulsamet; Yılmaz, Ülkü; Emri, Salih; Severcan, Feride
    Malignant pleural mesothelioma (MPM), an aggressive cancer associated with exposure to fibrous minerals, can only be diagnosed in the advanced stage because its early symptoms are also connected with other respiratory diseases. Hence, understanding the molecular mechanism and the discrimination of MPM from other lung diseases at an early stage is important to apply effective treatment strategies and for the increase in survival rate. This study aims to develop a new approach for characterization and diagnosis of MPM among lung diseases from serum by Fourier transform infrared spectroscopy (FTIR) coupled with multivariate analysis. The detailed spectral characterization studies indicated the changes in lipid biosynthesis and nucleic acids levels in the malignant serum samples. Furthermore, the results showed that healthy, benign exudative effusion, lung cancer, and MPM groups were successfully separated from each other by applying principal component analysis (PCA), support vector machine (SVM), and especially linear discriminant analysis (LDA) to infrared spectra.
  • Küçük Resim
    Öğe
    Relapsing-remitting multiple sclerosis diagnosis from cerebrospinal fluids via fourier transform infrared spectroscopy coupled with multivariate analysis
    (Nature Publishing Group, 2018) Yonar, Dilek; Ocek, Levent; Tiftikçioğlu, Bedile İrem; Zorlu, Yaşar; Severcan, Feride
    Multiple sclerosis (MS) is a chronic, progressive, inflammatory and degenerative disease of central nervous system. Here, we aimed to develop a method for differential diagnosis of Relapsing-Remitting MS (RRMS) and clinically isolated syndrome (CIS) patients, as well as to identify CIS patients who will progress to RRMS, from cerebrospinal fluid (CSF) by infrared (IR) spectroscopy and multivariate analysis. Spectral analyses demonstrated significant differences in the molecular contents, especially in the lipids and Z conformation of DNA of CSF from CIS, CIS to RRMS transformed (TCIS) and RRMS groups. These changes enables the discrimination of diseased groups and controls (individuals with no neurological disease) from each other using hierarchical cluster and principal component analysis. Some CIS samples were consistently clustered in RRMS class, which may indicate that these CIS patients potentially will transform to RRMS over time. Z-DNA band at 795 cm(-1) that is existent only in diseased groups and significant increase in carbonyl amount, decrease in amideI/amide II and lipid/protein ratios observed only for RRMS groups can be used as diagnostic biomarkers. The results of the present study shed light on the early diagnosis of RRMS by IR spectroscopy complemented with multivariate analysis tools.