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Updated: Jul 11, 2026

An Immunofluorescent Method for Characterization of Barrett’s Esophagus Cells
Published on: July 20, 2014
Detection of endogenous biomolecules in Barrett's esophagus by Fourier transform infrared spectroscopy
Thomas D Wang1, George Triadafilopoulos, James M Crawford
1Division of Gastroenterology, Stanford University School of Medicine, Palo Alto Veterans Affairs Health Care System, Palo Alto, CA 94304, USA. thomaswa@umich.edu
Abstract:
Fourier transform infrared (FTIR) spectroscopy provides a unique molecular fingerprint of tissue from endogenous sources of light absorption; however, specific molecular components of the overall FTIR signature of precancer have not been characterized. In attenuated total reflectance mode, infrared light penetrates only a few microns of the tissue surface, and the influence of water on the spectra can be minimized, allowing for the analyses of the molecular composition of tissues. Here, spectra were collected from 98 excised specimens of the distal esophagus, including 38 squamous, 38 intestinal metaplasia (Barrett's), and 22 gastric, obtained endoscopically from 32 patients. We show that DNA, protein, glycogen, and glycoprotein comprise the principal sources of infrared absorption in the 950- to 1,800-cm(-1) regime. The concentrations of these biomolecules can be quantified by using a partial least-squares fit and used to classify disease states with high sensitivity, specificity, and accuracy. Moreover, use of FTIR to detect premalignant (dysplastic) mucosa results in a sensitivity, specificity, positive predictive value, and total accuracy of 92%, 80%, 92%, and 89%, respectively, and leads to a better interobserver agreement between two gastrointestinal pathologists for dysplasia (kappa = 0.72) versus histology alone (kappa = 0.52). Here, we demonstrate that the concentration of specific biomolecules can be determined from the FTIR spectra collected in attenuated total reflectance mode and can be used for predicting the underlying histopathology, which will contribute to the early detection and rapid staging of many diseases.
Insights
Fourier transform infrared (FTIR) spectroscopy analyzes tissue molecular composition. This method accurately detects precancerous changes in the esophagus, improving diagnostic agreement between pathologists.
Area of Science:
- Biomedical Spectroscopy
- Molecular Pathology
- Gastroenterology
Background:
- Fourier transform infrared (FTIR) spectroscopy offers molecular fingerprints of tissue via endogenous light absorption.
- Specific molecular components contributing to FTIR signatures of precancer remain uncharacterized.
- Attenuated total reflectance mode minimizes water interference, enabling surface tissue molecular analysis.
Purpose of the Study:
- To characterize specific molecular components of FTIR signatures in esophageal tissue.
- To quantify biomolecule concentrations for disease state classification.
- To evaluate FTIR's efficacy in detecting premalignant esophageal mucosa and improving diagnostic agreement.
Main Methods:
- FTIR spectra were acquired from 98 excised distal esophageal specimens (squamous, intestinal metaplasia, gastric).
- Partial least-squares fitting was employed to quantify DNA, protein, glycogen, and glycoprotein concentrations.
- Diagnostic performance metrics (sensitivity, specificity, accuracy) were calculated for FTIR detection of dysplastic mucosa.
Main Results:
- DNA, protein, glycogen, and glycoprotein were identified as primary infrared absorbers (950–1,800 cm(-1)).
- Quantified biomolecule concentrations accurately classified disease states.
- FTIR detected premalignant (dysplastic) mucosa with 92% sensitivity, 80% specificity, and 89% accuracy.
- FTIR improved interobserver agreement for dysplasia diagnosis (kappa = 0.72) compared to histology alone (kappa = 0.52).
Conclusions:
- FTIR spectroscopy can determine specific biomolecule concentrations in tissue.
- These concentrations predict underlying histopathology, aiding early disease detection and staging.
- FTIR spectroscopy enhances diagnostic accuracy and interobserver agreement in gastrointestinal pathology.
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