Use of Fourier-Transform Infrared Spectroscopy (FT-IR) for Monitoring Experimental <i>Helicobacter pylori</i> Infection and Related Inflammatory Response in Guinea Pig Model
Infections due to Gram-negative bacteria <i>Helicobacter pylori</i> may result in humans having gastritis, gastric or duodenal ulcer, and even gastric cancer. Investigation of quantitative changes of soluble biomarkers, correlating with <i>H. pylori</i> infection, is a promis...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-12-01
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| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1422-0067/22/1/281 |
| Summary: | Infections due to Gram-negative bacteria <i>Helicobacter pylori</i> may result in humans having gastritis, gastric or duodenal ulcer, and even gastric cancer. Investigation of quantitative changes of soluble biomarkers, correlating with <i>H. pylori</i> infection, is a promising tool for monitoring the course of infection and inflammatory response. The aim of this study was to determine, using an experimental model of <i>H. pylori</i> infection in guinea pigs, the specific characteristics of infrared spectra (IR) of sera from <i>H. pylori</i> infected (40) vs. uninfected (20) guinea pigs. The <i>H. pylori</i> status was confirmed by histological, molecular, and serological examination. The IR spectra were measured using a Fourier-transform (FT)-IR spectrometer Spectrum 400 (PerkinElmer) within the range of wavenumbers 3000–750 cm<sup>−1</sup> and converted to first derivative spectra. Ten wavenumbers correlated with <i>H. pylori</i> infection, based on the chi-square test, were selected for a K-nearest neighbors (k-NN) algorithm. The wavenumbers correlating with infection were identified in the W2 and W3 windows associated mainly with proteins and in the W4 window related to nucleic acids and hydrocarbons. The k-NN for detection of <i>H. pylori</i> infection has been developed based on chemometric data. Using this model, animals were classified as infected with <i>H. pylori</i> with 100% specificity and 97% sensitivity. To summarize, the IR spectroscopy and k-NN algorithm are useful for monitoring experimental <i>H. pylori</i> infection and related inflammatory response in guinea pig model and may be considered for application in humans. |
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| ISSN: | 1661-6596 1422-0067 |