Using Raman Spectroscopy to Investigate the Molecular Level Characteristics of Endometriosis

In: Optics and Spectroscopy · 2020 · vol. 128(8) , pp. 1318–1327 · doi:10.1134/s0030400x20080044 · W3028396859
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Raman spectroscopy combined with statistical analysis characterized endometriosis tissues and classified samples by severity, finding increased DNA, pyrrole moieties, and kynurenine in severe cases.

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The study investigated molecular-level characteristics of endometriosis tissues using Raman spectroscopy combined with multivariate statistics. Raman spectra were collected from multiple points on cyst walls from 72 patients, and samples were classified into three groups (severe, moderate, and weak) using PCA followed by linear discriminant analysis. Severe endometriosis showed increased relative DNA band intensities, along with increased pyrrole moieties and kynurenine, which the authors interpret as reflecting increased IDO activity, tryptophan degradation, and an accumulation of kynurenine and pyrrole intermediates; they also conclude Raman spectroscopy could provide rapid classification compared with pathology reporting. The paper relates to endometriosis: it directly analyzes endometriosis tissue Raman spectra and links molecular signatures to disease severity in order to characterize endometriosis.

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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.
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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. Similar content being viewed by others

References

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Author information Authors and Affiliations Corresponding author Ethics declarations COMPLIANCE WITH ETHICAL STANDARDS All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. CONFLICT OF INTEREST The authors declare that they have no conflicts of interest. Rights and permissions About this article Cite this article Akyuz, S., Celik, S., Usta, A.T. et al. Using Raman Spectroscopy to Investigate the Molecular Level Characteristics of Endometriosis. Opt. Spectrosc. 128, 1318–1327 (2020). https://doi.org/10.1134/S0030400X20080044 Received: Revised: Accepted: Published: Version of record: Issue date: DOI: https://doi.org/10.1134/S0030400X20080044

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