Biochemical Heterogeneity of Endometriosis Phenotypes Revealed by <scp>FTIR</scp> Analysis

Fourier-transform infrared (FTIR) spectroscopy was used to investigate molecular differences among peritoneal, ovarian, bowel endometriosis phenotypes and control tissues. Peritoneal lesions showed the most pronounced spectral changes in CH-stretching (2800-3000 cm<sup>-1</sup>) and 1000-1500 cm<sup>-1</sup> regions, indicating protein and lipid alterations. Bowel lesions exhibited moderate but significant deviations, particularly in protein- and nucleic acid-associated bands, while ovarian lesions displayed subtler differences with increased lipid-related CH-stretching. Principal component analysis distinguished all phenotypes from controls, with peritoneal clustering most distinct, bowel intermediate, and ovarian partially overlapping. Key discriminative regions included phosphate vibrations (1080-1100, 1240-1250 cm<sup>-1</sup>), CH<sub>2</sub> bending (~1450 cm<sup>-1</sup>), amide I (~1650 cm<sup>-1</sup>), and amide II (~1540 cm<sup>-1</sup>). Decision tree analysis identified phenotype-specific markers: 988 cm<sup>-1</sup> (ovarian), 1101 cm<sup>-1</sup> (bowel), 1544 cm<sup>-1</sup> (peritoneal). Marker intensity correlated with tumor size and clinical scores, strongest in ovarian lesions. These findings highlight phenotype-specific FTIR fingerprints, offering diagnostic and prognostic potential in endometriosis.

Authors

Institutions

Publication Details

Journal
Journal of Biophotonics
Published
2025-11-30
DOI
https://doi.org/10.1002/jbio.202500511
Citations
1
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
1.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biochemical Heterogeneity of Endometriosis Phenotypes Revealed by FTIR Analysis

Joanna Depciuch, Bartosz Klębowski, Krzysztof Gałczyński, Łukasz Nowakowski et al.
1 citations
Journal of Biophotonics
Endometriosis Research and Treatment
1.70
article

Biochemical Heterogeneity of Endometriosis Phenotypes Revealed by FTIR Analysis

Joanna Depciuch, Bartosz Klębowski, Krzysztof Gałczyński, Łukasz Nowakowski, Piotr Olcha, Krzysztof Pancerz, Wiesław Paja, Michał Kępski
article en
1 citations

Abstract

Fourier-transform infrared (FTIR) spectroscopy was used to investigate molecular differences among peritoneal, ovarian, bowel endometriosis phenotypes and control tissues. Peritoneal lesions showed the most pronounced spectral changes in CH-stretching (2800-3000 cm<sup>-1</sup>) and 1000-1500 cm<sup>-1</sup> regions, indicating protein and lipid alterations. Bowel lesions exhibited moderate but significant deviations, particularly in protein- and nucleic acid-associated bands, while ovarian lesions displayed subtler differences with increased lipid-related CH-stretching. Principal component analysis distinguished all phenotypes from controls, with peritoneal clustering most distinct, bowel intermediate, and ovarian partially overlapping. Key discriminative regions included phosphate vibrations (1080-1100, 1240-1250 cm<sup>-1</sup>), CH<sub>2</sub> bending (~1450 cm<sup>-1</sup>), amide I (~1650 cm<sup>-1</sup>), and amide II (~1540 cm<sup>-1</sup>). Decision tree analysis identified phenotype-specific markers: 988 cm<sup>-1</sup> (ovarian), 1101 cm<sup>-1</sup> (bowel), 1544 cm<sup>-1</sup> (peritoneal). Marker intensity correlated with tumor size and clinical scores, strongest in ovarian lesions. These findings highlight phenotype-specific FTIR fingerprints, offering diagnostic and prognostic potential in endometriosis.

Journal of BiophotonicsVol. 19(3)
John Paul II Catholic University of Lublin (PL), Medical University of Lublin (PL), Institute of Nuclear Physics, Polish Academy of Sciences (PL), 1 Military Clinical Hospital with Outpatient Clinic (PL), University of Rzeszów (PL)
Openalex Percentile: Top 11%
Endometriosis Research and Treatment
1.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.