Attenuated total reflection: Fourier transform infrared spectroscopy for detection of heterogeneous vancomycin—intermediate Staphylococcus aureus

Wongthong, Sujintana; Tippayawat, Patcharaporn; Wongwattanakul, Molin; Poung-ngern, Pirom; Wonglakorn, Lumyai; Chanawong, Aroonwadee; Heraud, Philip; Lulitanond, Aroonlug

doi:10.1007/s11274-019-2788-5

Cited by 19 publications

(17 citation statements)

References 58 publications

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“…The peaks at 1230 and 1114 cm −1 corresponded to the PO 2 asymmetric stretching of phospholipids present in the teichoic acids of the cell wall, while the peaks at 1087 corresponded to the P = O symmetric stretching, and 1070, and 1055 cm −1 corresponded to symmetric stretching from alkoxy C‐O groups attributed to cell wall polysaccharides groups and peptidoglycan (Wongthong et al . 2020). The functional group assignments for the IR absorbance bands of E. faecium and E. faecalis are shown in Table 3.…”

Section: Discussionmentioning

confidence: 99%

Attenuated Total Reflection Fourier Transform Infrared Spectroscopy combined with chemometric modelling for the classification of clinically relevant Enterococci

Nitrosetein

Wongwattanakul

Chonanant

et al. 2020

J. Appl. Microbiol.

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Aims Attenuated Total Reflection Fourier Transform Infrared (ATR‐FT‐IR) Spectroscopy and chemometric modelling, including soft independent modelling by class analogy (SIMCA), partial least squares discriminant analysis (PLS‐DA) and support vector machine (SVM), were applied to attempt to discriminate 60 clinical isolates of Enterococcus faecium and Enterococcus faecalis and hence evaluate the performance of the spectroscopic approach in identifying enterococci infections. Methods and Results The bacterial samples were identified by polymerize chain reaction (PCR) amplification and their ATR‐FT‐IR spectra acquired. Spectra were processed to the second derivative using the Savitzky–Golay algorithm and normalized using extended multiplicative signal correction employing the UnscramblerX (CAMO, Norway) software package. Multivariate classification models and their performance were evaluated using Cohen’s Kappa coefficient. Principal component analysis (PCA) score plots showed separate clusters of spectra related to membership to E. faecium and E. faecalis, with this explained by bands assigned to PO2 (1230 cm−1), P‐O‐C (1114 cm−1), monosubstituted alkene (997, 987 cm−1) and C‐O (1070, 1055, 1036 cm−1) corresponding to teichoic acids, polysaccharides and peptidoglycan from the cell wall in PCA and PLS‐DA loading plots. The best classification model for E. faecium and E. faecalis is SVM, indicating via highest Kappa score. The classification coefficient between SIMCA, PLS‐DA, SVM and PCR as reference method were 0·59, 0·9 and 1, respectively, shown as the Kappa scores. Conclusions The main spectral differences observed between the two clinically relevant enterococci species were associated with changes in the teichoic acid content of cell walls. With regard to the binary classification method, SVM was found to be the best performing classification model, providing the highest correlation with the PCR results. Significance and Impact of the Study The study shows that ATR‐FT‐IR spectroscopy in combination with chemometric modelling can be applied for the phenotypic identification and discrimination of clinically relevant and similar enterococcal species.

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Section: Discussionmentioning

confidence: 99%

Attenuated Total Reflection Fourier Transform Infrared Spectroscopy combined with chemometric modelling for the classification of clinically relevant Enterococci

Nitrosetein

Wongwattanakul

Chonanant

et al. 2020

J. Appl. Microbiol.

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“…Partial least square discriminant analysis was performed on a subset of ten VISA and ten hVISA and could detect differences in spectra that could differentiate all isolates. For example, hVISA isolates had an increase in the cell wall band (peptidoglycan content in the cell) compared to VSSA, which was coherent with the cell wall thickening of hVISA isolates [ 120 ].…”

Section: Emerging Methods For Antimicrobial Resistance Detection In S Aureusmentioning

confidence: 99%

Recent Developments in Phenotypic and Molecular Diagnostic Methods for Antimicrobial Resistance Detection in Staphylococcus aureus: A Narrative Review

Sanchini¹

2022

Diagnostics

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Staphylococcus aureus is an opportunistic pathogen responsible for a wide range of infections in humans, such as skin and soft tissue infections, pneumonia, food poisoning or sepsis. Historically, S. aureus was able to rapidly adapt to anti-staphylococcal antibiotics and become resistant to several classes of antibiotics. Today, methicillin-resistant S. aureus (MRSA) is a multidrug-resistant pathogen and is one of the most common bacteria responsible for hospital-acquired infections and outbreaks, in community settings as well. The rapid and accurate diagnosis of antimicrobial resistance in S. aureus is crucial to the early initiation of directed antibiotic therapy and to improve clinical outcomes for patients. In this narrative review, I provide an overview of recent phenotypic and molecular diagnostic methods for antimicrobial resistance detection in S. aureus, with a particular focus on MRSA detection. I consider methods for resistance detection in both clinical samples and isolated S. aureus cultures, along with a brief discussion of the advantages and the challenges of implementing such methods in routine diagnostics.

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“…Changes in S. aureus membrane upon terbinafine exposure were determined using FTIR analysis [ 29 ]. S. aureus ATCC 6538 overnight culture in the presence of terbinafine (328 µg/mL) was adjusted to 9 × 10 8 CFU/mL.…”

Section: Methodsmentioning

confidence: 99%

Antibiofilm and staphyloxanthin inhibitory potential of terbinafine against Staphylococcus aureus: in vitro and in vivo studies

Askoura

Yousef

Mansour

et al. 2022

Ann Clin Microbiol Antimicrob

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Background Antimicrobial resistance is growing substantially, which necessitates the search for novel therapeutic options. Terbinafine, an allylamine antifungal agent that exhibits a broad spectrum of activity and is used in the treatment of dermatophytosis, could be a possible option to disarm S. aureus virulence. Methods Terbinafine inhibitory effect on staphyloxanthin was characterized by quantitative measurement of staphyloxanthin intermediates and molecular docking. The effect of terbinafine on S. aureus stress survival was characterized by viable counting. The anti-biofilm activity of terbinafine on S. aureus was assessed by the crystal violet assay and microscopy. Changes in S. aureus membrane following treatment with terbinafine were determined using Fourier transform infrared (FTIR) analysis. The synergistic action of terbinafine in combination with conventional antibiotics was characterized using the checkerboard assay. qRT-PCR was used to evaluate the impact of terbinafine on S. aureus gene expression. The influence of terbinafine on S. aureus pathogenesis was investigated in mice infection model. Results Terbinafine inhibits staphyloxanthin biosynthesis through targeting dehydrosqualene desaturase (CrtN). Docking analysis of terbinafine against the predicted active site of CrtN reveals a binding energy of − 9.579 kcal/mol exemplified by the formation of H-bonds, H-arene bonds, and hydrophobic/hydrophilic interactions with the conserved amino acids of the receptor pocket. Terbinafine treated S. aureus was more susceptible to both oxidative and acid stress as well as human blood killing as compared to untreated cells. Targeting staphyloxanthin by terbinafine rendered S. aureus more sensitive to membrane acting antibiotics. Terbinafine interfered with S. aureus biofilm formation through targeting cell autoaggregation, hydrophobicity, and exopolysaccharide production. Moreover, terbinafine demonstrated a synergistic interaction against S. aureus when combined with conventional antibiotics. Importantly, terbinafine attenuated S. aureus pathogenesis using mice infection model. qRT-PCR revealed that terbinafine repressed expression of the transcriptional regulators sigB, sarA, and msaB, as well as icaA in S. aureus. Conclusions Present findings strongly suggest that terbinafine could be used safely and efficiently as an anti-virulent agent to combat S. aureus infections.

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Attenuated total reflection: Fourier transform infrared spectroscopy for detection of heterogeneous vancomycin—intermediate Staphylococcus aureus

Cited by 19 publications

References 58 publications

Attenuated Total Reflection Fourier Transform Infrared Spectroscopy combined with chemometric modelling for the classification of clinically relevant Enterococci

Attenuated Total Reflection Fourier Transform Infrared Spectroscopy combined with chemometric modelling for the classification of clinically relevant Enterococci

Recent Developments in Phenotypic and Molecular Diagnostic Methods for Antimicrobial Resistance Detection in Staphylococcus aureus: A Narrative Review

Antibiofilm and staphyloxanthin inhibitory potential of terbinafine against Staphylococcus aureus: in vitro and in vivo studies

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