Fourier-transform infrared spectroscopy discriminates a spectral signature of endometriosis independent of inter-individual variation

Karen T Cheung, Júlio Trevisan, Jemma G Kelly, Katherine M Ashton, Helen F Stringfellow, Siân Taylor, Siân E Taylor, Maneesh N Singh, Pierre L Martin-Hirsch, Pierre L. Martin‐Hirsch, Francis L Martin, Francis Martin
The Analyst · 2011 · vol. 136(10) , pp. 2047 · doi:10.1039/c0an00972e · PMID:21423930 · W2162137551
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⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

Fourier-transform infrared spectroscopy identified a distinct spectral signature differentiating ectopic endometrial tissue from benign eutopic and endometriosis-associated eutopic tissue, independent of inter-individual variations.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-07 · read from full text ⓘ

The study investigated whether mid-infrared spectroscopy could identify biochemical differences between ectopic endometrial tissue from women with endometriosis, eutopic endometrium from women with endometriosis, and benign eutopic tissue from endometriosis-free women. Using ATR-FTIR spectroscopy or transmission FTIR microspectroscopy to generate absorbance spectra and applying PCA-linear discriminant analysis, the authors found clear spectral segregation among the three tissue categories that was independent of inter-individual variation. A key result was that eutopic tissue differed depending on whether the donor had endometriosis. This paper is centrally about endometriosis — it uses Fourier-transform infrared spectroscopy to discriminate endometriosis-related tissue spectral signatures, including changes in eutopic endometrium.

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Abstract

Endometriosis is the growth of endometrial tissue outside of the uterine cavity. Its aetiology remains obscure, and it is difficult to diagnose ranging from asymptomatic to debilitating disease. Mid-infrared (IR) spectroscopy has become recognised as a potential clinical diagnostic tool. Biomolecules absorb mid-IR (4000 cm(-1) to 400 cm(-1)) and from this, a biochemical-cell fingerprint in the form of an absorbance spectrum can be derived. We set out to determine if IR spectroscopy could be used to identify underlying biochemical differences between endometrial tissues growing outside of the uterus (ectopic) from endometrial tissue of the uterus (eutopic). For comparative purposes, endometrial tissues from endometriosis-free women were also obtained (benign eutopic). Attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy or transmission FTIR microspectroscopy was employed for spectral acquisition. Principal component analysis (PCA)-linear discriminant analysis (LDA) was used for chemometric analysis. A clear segregation was exhibited between the three categories independent of inter-individual confounding differences. Importantly, there was a marked difference between eutopic endometrial tissue from patients with or without endometriosis. This indicates that IR spectroscopy coupled with multivariate analysis (e.g., PCA-LDA) may provide a non-invasive diagnostic tool for endometriosis. By analysing the underlying biochemistry of these endometrial tissues, this approach may facilitate a better understanding of this pathology.
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Endometriosis is the growth of endometrial tissue outside of the uterine cavity. Its aetiology remains obscure, and it is difficult to diagnose ranging from asymptomatic to debilitating disease. Mid-infrared (IR) spectroscopy has become recognised as a potential clinical diagnostic tool. Biomolecules absorb mid-IR (4000 cm−1 to 400 cm−1) and from this, a biochemical-cell fingerprint in the form of an absorbance spectrum can be derived. We set out to determine if IR spectroscopy could be used to identify underlying biochemical differences between endometrial tissues growing outside of the uterus (ectopic) from endometrial tissue of the uterus (eutopic). For comparative purposes, endometrial tissues from endometriosis-free women were also obtained (benign eutopic). Attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy or transmission FTIR microspectroscopy was employed for spectral acquisition. Principal component analysis (PCA)-linear discriminant analysis (LDA) was used for chemometric analysis. A clear segregation was exhibited between the three categories independent of inter-individual confounding differences. Importantly, there was a marked difference between eutopic endometrial tissue from patients with or without endometriosis. This indicates that IR spectroscopy coupled with multivariate analysis (e.g., PCA-LDA) may provide a non-invasive diagnostic tool for endometriosis. By analysing the underlying biochemistry of these endometrial tissues, this approach may facilitate a better understanding of this pathology. You have access to this article Please wait while we load your content... Something went wrong. Try again?

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Spectroscopy, Fourier Transform Infrared Uterine Diseases Discriminant Analysis Endometriosis Female Humans Principal Component Analysis Spectroscopy, Fourier Transform Infrared Uterine Diseases

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