Using Raman Spectroscopy to Investigate the Molecular Level Characteristics of Endometriosis-=SUP=-*-=/SUP=-

Sevim Akyüz, Sefa Çeli̇k, Abdullah Taner Usta, Ayşen E. Özel, Gozde Yi lmaz - SUP - - SUP -, Salih Yi lmaz
In: Журнал технической физики · 2020 · vol. 128(8) , pp. 1223 · doi:10.21883/os.2020.08.49736.202-19 · W4253242398
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Raman spectroscopy combined with statistical analysis classified endometriosis severity by identifying increased DNA, pyrrole moieties, and kynurenine in severe cases.

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The paper used Raman spectroscopy with multivariate statistical analysis to characterize endometriosis tissues at the molecular level, analyzing 366 Raman spectra from different points across 72 tissue samples collected from the cyst walls of 12 patients. The authors applied PCA followed by linear discriminant analysis to classify samples into three severity groups (severe, moderate, weak) and reported that severe endometriosis showed increased relative DNA band intensities, along with increased pyrrole moieties and kynurenine. They interpret these molecular changes as severity-correlated increases in DNA concentration and tryptophan degradation associated with increased IDO activity, reflected by kynurenine accumulation and pyrrole intermediates, while noting classification depends on the Raman spectral data and modeling approach. This paper is centrally about endometriosis — it investigates Raman-spectroscopic molecular signatures distinguishing endometriosis severity.

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Abstract

Endometriosis is a benign gynecologic disorder. It is particularly common among young women and may make pregnancy difficult. In this study molecular level characterization of endometriosis tissues were performed using Raman spectroscopy in combination with multivariate statistical analysis. Three hundred sixty-six Raman spectra recorded from different points of seventy two tissue samples, taken from the cyst walls of twelve patients were examined. Principle Component Analysis (PCA) followed by Linear Discriminant Analysis (LDA) were performed on the Raman data, and the samples were then classified into three groups; severe, moderate, and weak endometriosis. In the severe endometriosis group, the relative band intensities of DNA were increased. Moreover, increase in pyrrole moieties and kynurenine were seen. The results show that endometriosis severity correlates to increase in DNA concentration, and degradation of tryptophan due to increased indoleamine-pyrrole 2, 3-dioxygenase (IDO) activity, and an increase in kynurenine concentration and pyrrole intermediate. It is concluded that Raman spectroscopy is capable of providing a quick diagnosis, ahead of the pathology result being reported. Keywords: Endometriosis; Raman spectra, PCA-LDA analysis.
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Оптика и спектроскопия Авторам Вышедшие номера - 2026 - 2025 - 2024 - 2023 - 2022 - 2021 - 2020 - 2019 - 2018 Using Raman Spectroscopy to Investigate the Molecular Level Characteristics of Endometriosis* Переводная версия: 10.1134/S0030400X20080044 Поступила в редакцию: 25 мая 2019 г. Выставление онлайн: 24 мая 2020 г. Endometriosis is a benign gynecologic disorder. It is particularly common among young women and may make pregnancy difficult. In this study molecular level characterization of endometriosis tissues were performed using Raman spectroscopy in combination with multivariate statistical analysis. Three hundred sixty-six Raman spectra recorded from different points of seventy two tissue samples, taken from the cyst walls of twelve patients were examined. Principle Component Analysis (PCA) followed by Linear Discriminant Analysis (LDA) were performed on the Raman data, and the samples were then classified into three groups; severe, moderate, and weak endometriosis. In the severe endometriosis group, the relative band intensities of DNA were increased. Moreover, increase in pyrrole moieties and kynurenine were seen. The results show that endometriosis severity correlates to increase in DNA concentration, and degradation of tryptophan due to increased indoleamine-pyrrole 2, 3-dioxygenase (IDO) activity, and an increase in kynurenine concentration and pyrrole intermediate. It is concluded that Raman spectroscopy is capable of providing a quick diagnosis, ahead of the pathology result being reported. Keywords: Endometriosis; Raman spectra, PCA-LDA analysis. Подсчитывается количество просмотров абстрактов ("html" на диаграммах) и полных версий статей ("pdf"). Просмотры с одинаковых IP-адресов засчитываются, если происходят с интервалом не менее 2-х часов. Дата начала обработки статистических данных - 27 января 2016 г. © 2026 Физико-технический институт им. А.Ф. Иоффе Российской академии наук Powered by webapplicationthemes.com - High quality HTML Theme Powered by webapplicationthemes.com - High quality HTML Theme

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