Abstract

The current understanding of deviations of human microbiota caused by antibiotic treatment is poor. In an attempt to improve it, a proof-of-principle spectroscopic study of the breath of one volunteer affected by a course of antibiotics for Helicobacter pylori eradication was performed. Fourier transform spectroscopy enabled searching for the absorption spectral structures sensitive to the treatment in the entire mid-infrared region. Two spectral ranges were found where the corresponding structures strongly correlated with the beginning and end of the treatment. The structures were identified as methyl ester of butyric acid and ethyl ester of pyruvic acid. Both acids generated by bacteria in the gut are involved in fundamental processes of human metabolism. Being confirmed by other studies, measurement of the methyl butyrate deviation could be a promising way for monitoring acute gastritis and anti-Helicobacter pylori antibiotic treatment.

Highlights

  • A number of bacteria-related diseases increases as our understanding of the role of microbiota deepens (for detail, see Section 1 of the Supplementary Materials (SM))

  • To the best of our knowledge, we demonstrate the first signatures of breath-related dynamics of acute gastritis affected by the quadruple antibiotics course

  • The carriers of the dynamics were identified as volatile derivatives of short-chain fatty acids (SCFA) and alpha-keto acid

Read more

Summary

Introduction

A number of bacteria-related diseases increases as our understanding of the role of microbiota deepens (for detail, see Section 1 of the Supplementary Materials (SM)). Bacteria in feces become already modified in comparison to the gut state and, strictly speaking, should be considered as being measured in vitro [13] The aim of this one-case study was to verify whether breath carries significant information about acute gastritis and the dynamic response of the body to anti-Hp treatment. Data points corresponding to dates earlier than −60 and longer than 60 days were collected and used only for analysis; they are not presented here in order to improve the visibility of the plots

Other Signals
Identification of the Molecules Responsible for the Spectral Signals
The Instrument
Subject of the Study and a Description of the Treatment Antibiotics Course
Identification Procedures of the Spectral Structures
Numerical Simulation
Findings
Conclusions and Future Work
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call