Browsing by Author "Kabuk, Hayrunnisa Nur"

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Auxiliary Differential Diagnosis of Schizophrenia and Phases of Bipolar Disorder Based on the Blood Serum Raman Spectra
(Wiley, 2020) ILDIZ, GÜLCE ÖĞRÜÇ; Bayari, Sevgi; Aksoy, Umut M.; Yorguner, Neşe; Bulut, Hüseyin; Yılmaz, Sultan S.; Halimoğlu, Gökhan; Kabuk, Hayrunnisa Nur; YAVUZ, GİZEM; Fausto, Rui
Schizophrenia (SZ) and bipolar disorder (BP) are severe psychiatric disorders that are characterized by an extensive spectrum of symptoms and affect approximately 2% of the world population. BP exhibits three well-distinct phases, which are classified as manic and depressive episodes and euthymic phase. These disorders are of difficult differential clinical diagnosis due to the similarity of their symptoms. Diagnostic approaches for SZ and BP are based on constructed patient interviews and subjective evaluations of clinical symptoms, and there are still no molecular-based auxiliary diagnostic tools to support the clinical diagnosis. In this study, an analytical model for auxiliary differential diagnosis of SZ and BP, based on the analysis of patients' blood serum Raman spectra, is developed, which is able to account for the different BP phases and can also differentiate SZ and BP patients from healthy individuals. The model is based on a hierarchical sequence of four two-class PLS-DA steps where the Raman spectra are theX-predictor variables. It is concluded that the full 400-3,100 cm(-1)Raman spectroscopic range is a sensitive probe for the disorders, thus working as a general spectroscopic biomarker for the illnesses. The proposed methodology is reliable, fast, cheap, essentially minimal-invasive, and might be implemented easily in the clinical environment.
Open Access
Şizofreni ve bipolar manik bozukluğun raman spektroskopik ve kemometrik analiz yöntemleriyle ayrıştırılması
(İstanbul Kültür Üniversitesi / Lisansüstü Eğitim Enstitüsü / Fizik Ana Bilim Dalı / Fizik Bilim Dalı, 2021) Kabuk, Hayrunnisa Nur; Ildız, Gülce Öğrüç
Şizofreni (SZ) ve Bipolar duygu durum bozukluğu (BP), dünyada yaklaşık olarak nüfusun %2'sini etkileyen nöropsikiyatrik sendromları olan ve bu sendromların çok çeşitlilik gösterdiği ve dolayısıyla tanılanmaları oldukça zor olan hastalıklardır. Bipolar bozukluk; manik epizod BP(M), depresif episod ve ötimik olmak üzere 3 fazda gözlenmektedir. Bipolar bozukluğun manik fazının Şizofreni ile benzer semptomlar göstermesi bu iki bozukluğun ayrıştırılmasını zorlaştırmakta ve tanılarında güçlükler yaşanmasına neden olmaktadır. Şizofren ve Bipolar hastalıkların tanısında, hastalar ile birebir yapılan görüşmelerde ortaya çıkan bazı sübjektif verilere dayanılarak, sonuca gidilmeye çalışılmaktadır. Hâlihazırda bu hastalıkların tanısı için geliştirilmiş, klinik tanı yöntemlerini destekleyecek nitelikte moleküler tabanlı herhangi bir tanı yöntemi bulunmamaktadır. Bu tez çalışması çerçevesinde SZ ve BP(M) hastalarını birbirinden ve sağlıklı bireylerden ayırabilen, hastaların kan serumunun Raman spektrumları analizine dayanan, SZ ve BP(M)'nin yardımcı ayırıcı tanısı için analitik bir model geliştirildi. Bu model, Raman spektrumlarının X-bağımsız değişkenlerinin olduğu iki sınıflı, iki PLS-DA adımının hiyerarşik bir dizimine dayanmaktadır. Analizler sonucunda 400-3100 cm-1 Raman spektroskopik aralığının bu bozukluklar için hassas bir spektroskopik biyobelirteç olarak çalıştığı sonucuna varıldı. Önerilen metodoloji güvenilir, hızlı, ucuz, portatif ve klinik ortamda kolayca uygulanabilir niteliktedir.
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Vibrational Spectroscopy as a Tool to Diagnose Psychiatric and Neurodevelopmental Disorders, Through Chemometrics Analysis of Spectral Data of Blood Plasma Samples
(2019-11) Bayari, Sevgi; Aksoy, Umut Mert; Yorguner, Neşe; büber, ahmet; Bulut, Hüseyin; Yılmaz, Sultan S.; Kabuk, Hayrunnisa Nur; Halimoğlu, Gökhan; Karadağ, Ahmet; Kaygısız, Ersin; Fausto, Rui; YAVUZ, GİZEM; ILDIZ, GÜLCE ÖĞRÜÇ; 107326; 4103; 172022; 158800
It is well known that neurodegenerative illnesses like Alzheimer’s, which are associated with loss of cognitive functions, have been amplifying their impact on society with the increase of the lifetime expectation achieved in the last few decades. But also in the case of psychiatric and neurodevelopmental disorders for which aging is not a dominant factor (like, for example, autism, schizophrenia and bipolar diseases), the demands of the modern life have augmented their societal importance. Unfortunately, most of these types of diseases are of difficult clinical diagnosis due to the heterogeneity of their symptoms, what leads to errors in the initial diagnosis, for example of the bipolar disorder, close to 70%, with more than 30% of patients remaining misdiagnosed for at least 10 years. Altemative/complementary strategies that may help clinicians to improve these numbers are then of great relevance, in particular when they rely in fast and cheap analytical procedures having a molecular basis. Use of spectroscopic methods for accomplishment of this goal, through analysis of body fluids and identification of biomarker-related spectroscopic features, appears as a promising approach to this problem. In fact, this approach has been shown to be appropriate for helping diagnosis of other types of diseases, like cancer and infectious diseases, for example. In this investigation, vibrational spectroscopy (both infrared absorption - 1R - and Raman scattering), has been selected as analytical technique for trial diagnosis of a series of disorders affecting the cognitive functions. Vibrational spectroscopy is a veiy sensitive analytical method to sample composition and variability; it allows fast and cheap analyses and, when the object of analysis is a body fluid, the tests can be performed without requiring patients’ multiple visits to the health units (in contrast with the clinical traditional methods). The present program of studies focusses on the analysis of blood plasma samples of patients clinically diagnosed as bearing psychiatric or neurodevelopmental disorders, in order to find proper biomarker- related spectroscopic features that can help a correct diagnosis. Chemometrics is used to perform the analysis of the spectroscopic data obtained by 1R or Raman spectroscopies, in the search for a reliable statistical model to discriminate and classify the patients according to their disease. In this poster, the results obtained for the case of autism will be presented, together with the plan designed for the ongoing studies focusing on other types of illnesses, in particular, schizophrenia and bipolar diseases (including subgroups: bipolar depressive episode, manic episode and otimic), as well the relevant information about the research consortium established to undertake these studies. It will be shown that the information contained in the infrared spectra of blood samples of autistic patients allowed for their correct classification against the control group, thus testifying the potential of the used methodology for the aimed purposes.