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...
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MDPI AG
2020-12-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/22/1/281 |
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| author | Weronika Gonciarz Łukasz Lechowicz Mariusz Urbaniak Wiesław Kaca Magdalena Chmiela |
| author_facet | Weronika Gonciarz Łukasz Lechowicz Mariusz Urbaniak Wiesław Kaca Magdalena Chmiela |
| author_sort | Weronika Gonciarz |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T13:40:47Z |
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| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T13:40:47Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-8f534b930d84418e9e80a830f20996832023-11-21T03:02:42ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672020-12-0122128110.3390/ijms22010281Use of Fourier-Transform Infrared Spectroscopy (FT-IR) for Monitoring Experimental <i>Helicobacter pylori</i> Infection and Related Inflammatory Response in Guinea Pig ModelWeronika Gonciarz0Łukasz Lechowicz1Mariusz Urbaniak2Wiesław Kaca3Magdalena Chmiela4Department of Immunology and Infectious Biology, Institute of Microbiology, Biotechnology and Immunology, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/16, 90-237 Łódź, PolandInstitute of Biology, Faculty of Natural Sciences, Jan Kochanowski University, Uniwersytecka 7, 25-406 Kielce, PolandInstitute of Chemistry, Faculty of Natural Sciences, Jan Kochanowski University, Uniwersytecka 7, 25-406 Kielce, PolandInstitute of Biology, Faculty of Natural Sciences, Jan Kochanowski University, Uniwersytecka 7, 25-406 Kielce, PolandDepartment of Immunology and Infectious Biology, Institute of Microbiology, Biotechnology and Immunology, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/16, 90-237 Łódź, PolandInfections 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.https://www.mdpi.com/1422-0067/22/1/281<i>H. pylori</i>FT-IRguinea pigschemometriccluster analysis |
| spellingShingle | Weronika Gonciarz Łukasz Lechowicz Mariusz Urbaniak Wiesław Kaca Magdalena Chmiela Use of Fourier-Transform Infrared Spectroscopy (FT-IR) for Monitoring Experimental <i>Helicobacter pylori</i> Infection and Related Inflammatory Response in Guinea Pig Model International Journal of Molecular Sciences <i>H. pylori</i> FT-IR guinea pigs chemometric cluster analysis |
| title | Use of Fourier-Transform Infrared Spectroscopy (FT-IR) for Monitoring Experimental <i>Helicobacter pylori</i> Infection and Related Inflammatory Response in Guinea Pig Model |
| title_full | Use of Fourier-Transform Infrared Spectroscopy (FT-IR) for Monitoring Experimental <i>Helicobacter pylori</i> Infection and Related Inflammatory Response in Guinea Pig Model |
| title_fullStr | Use of Fourier-Transform Infrared Spectroscopy (FT-IR) for Monitoring Experimental <i>Helicobacter pylori</i> Infection and Related Inflammatory Response in Guinea Pig Model |
| title_full_unstemmed | Use of Fourier-Transform Infrared Spectroscopy (FT-IR) for Monitoring Experimental <i>Helicobacter pylori</i> Infection and Related Inflammatory Response in Guinea Pig Model |
| title_short | Use of Fourier-Transform Infrared Spectroscopy (FT-IR) for Monitoring Experimental <i>Helicobacter pylori</i> Infection and Related Inflammatory Response in Guinea Pig Model |
| title_sort | use of fourier transform infrared spectroscopy ft ir for monitoring experimental i helicobacter pylori i infection and related inflammatory response in guinea pig model |
| topic | <i>H. pylori</i> FT-IR guinea pigs chemometric cluster analysis |
| url | https://www.mdpi.com/1422-0067/22/1/281 |
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