On-line profiling of volatile compounds produced in vitro by pathogenic oral bacteria

Roslund, Kajsa; Lehto, Markku; Pussinen, Pirkko J.; Groop, Per‐Henrik; Halonen, Lauri; Metsälä, Markus

doi:10.1088/1752-7163/ab5559

Cited by 13 publications

(18 citation statements)

References 71 publications

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“…P. gingivalis, a key pathogen in periodontitis, is a key contributor to Alzheimer's disease pathogenesis (Dominy et al, 2019). Till today, several markers (e.g., methanethiol and acetone) in breath have been proposed for the diagnostic identification of P. gingivalis in the oral cavity (Roslund et al, 2019). However, these markers have not been investigated for their association with Alzheimer's disease.…”

Section: Promising Areas Of Research In Bacterial Infection Volatilomementioning

confidence: 99%

Volatilomes of Bacterial Infections in Humans

Elmassry

Piechulla

2020

Front. Neurosci.

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Sense of smell in humans has the capacity to detect certain volatiles from bacterial infections. Our olfactory senses were used in ancient medicine to diagnose diseases in patients. As humans are considered holobionts, each person's unique odor consists of volatile organic compounds (VOCs, volatilome) produced not only by the humans themselves but also by their beneficial and pathogenic micro-habitants. In the past decade it has been well documented that microorganisms (fungi and bacteria) are able to emit a broad range of olfactory active VOCs [summarized in the mVOC database (http://bioinformatics.charite.de/mvoc/)]. During microbial infection, the equilibrium between the human and its microbiome is altered, followed by a change in the volatilome. For several decades, physicians have been trying to utilize these changes in smell composition to develop fast and efficient diagnostic tools, particularly because volatiles detection is non-invasive and non-destructive, which would be a breakthrough in many therapies. Within this review, we discuss bacterial infections including gastrointestinal, respiratory or lung, and blood infections, focusing on the pathogens and their known corresponding volatile biomarkers. Furthermore, we cover the potential role of the human microbiota and their volatilome in certain diseases such as neurodegenerative diseases. We also report on discrete mVOCs that affect humans.

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Section: Promising Areas Of Research In Bacterial Infection Volatilomementioning

confidence: 99%

Volatilomes of Bacterial Infections in Humans

Elmassry

Piechulla

2020

Front. Neurosci.

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“…The reference strain of P. gingivalis ATCC 33277 (serotype Pg a) was acquired from the American Type Culture Collection (ATCC). The culture method used has been described previously by us 6,7 . The reference strain was stored at − 80 °C in frozen skim milk.…”

Section: Methodsmentioning

confidence: 99%

“…The PTR-ToF-MS method and operation conditions have been previously described by us 6,7 . Measurements were performed from m/z 17 to 239, with H 3 O + as the reagent ion.…”

Section: Measurement and Identification Of Vocsmentioning

confidence: 99%

Antibiotic treatment and supplemental hemin availability affect the volatile organic compounds produced by P. gingivalis in vitro

Roslund

Uosukainen

Järvik

et al. 2022

Sci Rep

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We have measured the changes in the production of volatile organic compounds (VOCs) by the oral pathogen Porphyromonasgingivalis, when treated in vitro with the antibiotic amoxicillin. We have also measured the VOC production of P.gingivalis grown in the presence and absence of supplemental hemin. Planktonic bacterial cultures were treated with different amounts of amoxicillin in the lag phase of the bacterial growth. Planktonic bacteria were also cultured with and without supplemental hemin in the culture medium. Concentrations of VOCs were measured with proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF–MS) and further molecular identification was done with gas chromatography–mass spectrometry (GC–MS) using solid phase microextraction (SPME) for sampling. The cell growth of P.gingivalis in the cultures was estimated with optical density measurements at the wavelength of 600 nm (OD600). We found that the production of methanethiol, hydrogen sulfide and several short- to medium-chain fatty acids was decreased with antibiotic treatment using amoxicillin. Compounds found to increase with the antibiotic treatment were butyric acid and indole. In cultures without supplemental hemin, indole and short- to medium-chain fatty acid production was significantly reduced. Acetic acid production was found to increase when supplemental hemin was not available. Our results suggest that the metabolic effects of both antibiotic treatment and supplemental hemin availability are reflected in the VOCs produced by P.gingivalis and could be used as markers for bacterial cell growth and response to threat. Analysis of these volatiles from human samples, such as the exhaled breath, could be used in the future to rapidly monitor response to antibacterial treatment.

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“…Methanethiol is volatile organo-sulphur material that is considered as a biomarker for the diseases caused by microorganisms like Helicobacter pylori bacteria (H. pylori) [56], Porphyromonas gingivalis (P. Gingivalis) phylum Bacteroidetes [57,58]. To the best of our knowledge, this is the first time that a graphene-based electronic device is used to detect methanethiol.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Modelling of Bandgap Engineered Graphene FET with the Application in Sensing Methanethiol Biomarker

Singh

Sohi

Kahrizi

2021

Sensors

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In this work, we have designed and simulated a graphene field effect transistor (GFET) with the purpose of developing a sensitive biosensor for methanethiol, a biomarker for bacterial infections. The surface of a graphene layer is functionalized by manipulation of its surface structure and is used as the channel of the GFET. Two methods, doping the crystal structure of graphene and decorating the surface by transition metals (TMs), are utilized to change the electrical properties of the graphene layers to make them suitable as a channel of the GFET. The techniques also change the surface chemistry of the graphene, enhancing its adsorption characteristics and making binding between graphene and biomarker possible. All the physical parameters are calculated for various variants of graphene in the absence and presence of the biomarker using counterpoise energy-corrected density functional theory (DFT). The device was modelled using COMSOL Multiphysics. Our studies show that the sensitivity of the device is affected by structural parameters of the device, the electrical properties of the graphene, and with adsorption of the biomarker. It was found that the devices made of graphene layers decorated with TM show higher sensitivities toward detecting the biomarker compared with those made by doped graphene layers.

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On-line profiling of volatile compounds produced in vitro by pathogenic oral bacteria

Cited by 13 publications

References 71 publications

Volatilomes of Bacterial Infections in Humans

Volatilomes of Bacterial Infections in Humans

Antibiotic treatment and supplemental hemin availability affect the volatile organic compounds produced by P. gingivalis in vitro

Finite Element Modelling of Bandgap Engineered Graphene FET with the Application in Sensing Methanethiol Biomarker

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