On the synergy between silver nanoparticles and doxycycline towards the inhibition of <i>Staphylococcus aureus</i> growth

Silva, Heloiza F. O.; Lima, Rayane P. de; Costa, Fernanda S. L.; Moraes, Edgar P.; Melo, Maria Celeste Nunes de; Sant’Anna, Celso; Eugênio, Mateus; Gasparotto, Luiz H. S.

doi:10.1039/c8ra02176g

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…Thus, the present results demonstrated that the prepared nanoantibiotic system could be potentially use in the treatment of antibiotic‐resistant bacteria. In another study by Silva et al., the changes in the metabolism of Staphylococcus aureus when exposed to Ag nanoparticles carrying Doxycycline were not simply additive effects of Doxycycline and silver nanoparticles separately but had synergistic effects, hindering bacterial protein synthesis [75] . Based on these experimental results, the incorporation of both antibiotics DOX, FLO, and AgNPs in a single nano‐drug delivery system expressed an excellent inhibitory effect on treating infectious diseases.…”

Section: Resultsmentioning

confidence: 96%

Co‐delivery of Doxycycline, Florfenicol and Silver Nanoparticles using Alginate/Chitosan Nanocarriers

Phan

Nguyen

et al. 2022

ChemistrySelect

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The overuse of antibiotics has led to the sharp increase of antibiotic-resistant bacteria that can consequently transmit and cause hard-to-cure human diseases. To deal with this problem, nano drug delivery systems have been widely researched. This report focuses on developing an Alginate/Chitosan-based nanosystem that carried simultaneously Doxycycline (DOX), Florfenicol (FLO), and silver nanoparticles (AgNPs). The optimal Alginate/Chitosan ratio of 3 : 2 (w/w) created the most stable nanocarrier system. The fabricated DOX-FLO@AgNPs had a spherical shape with a small size of about 20 nm and could release slowly DOX and FLO at pH of 7.4 and 5.0. In vitro drug release kinetics of DOX and FLO from DOX-FLO@AgNPs fitted best to the Weibull or Higuchi model by the mechanism of the Fickian or non-Fickian diffusion. The nanosystem of DOX-FLO@AgNPs had much lower IC 50 of 0.012 � 0.001 and 0.08 � 0.005 μg/mL against E.coli and B.subtilis, respectively, than the conventional form. The FIC 50 value of smaller than 0.5 μg/mL for 5 out of 6 tested bacteria also indicated the synergistic effect of each component in this antibiotic combination. Moreover, the cytotoxicity assay confirmed the viability of 96.4 � 2.3 % for vero cell line that exposured to the treatment dose. Therefore, these findings strongly suggest that the DOX-FLO@AgNPs formulation is promising for combined antibiotic drug delivery and silver nanoparticles, and will be worth investigating for further in vivo potential.

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Section: Resultsmentioning

confidence: 96%

Co‐delivery of Doxycycline, Florfenicol and Silver Nanoparticles using Alginate/Chitosan Nanocarriers

Phan

Nguyen

et al. 2022

ChemistrySelect

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“…In addition to exhibiting bactericidal and bacteriostatic properties [16,[30][31][32], silver nanoparticles (AgNPs) are known to present dose-and-time-dependent cytotoxicity in vitro and in vivo [33,34]. Herein, we set out to discovering the conditions under which the NC-AgNPs toxicity emerges.…”

Section: Cytotoxicity Of Nc-agnps Towards Hacat Cellsmentioning

confidence: 99%

Silver-nanoparticle-modified nanocellulose synthesized by pyroligneous acid: cytotoxicity towards HaCat cells

Medeiros,

Sant’Anna,

Ferreira

et al. 2024

Nanotechnology

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In the present study, pyroligneous acid, also known as wood vinegar, has been employed as reducing and stabilizing agent in the synthesis of silver nanoparticles (AgNPs) anchored on nanocellulose (NC). The idea is to confer the latter bactericidal properties for its typical uses such as in cosmetics and food-packing. It has been demonstrated that AgNPs can be directly produced onto NC in one-pot fashion while dramatically enhancing the kinetics of AgNPs synthesis (2 h for reaction completion) in comparison to the NC-less counterpart (10 days for reaction completion). Furthermore, NC allowed for a narrower size distribution of AgNPs. NC-supported and non-supported AgNPs had sizes of 5.1 ± 1.6 nm and 16.7 ± 4.62 nm, respectively. Immortalized human keratinocytes (HaCat) cells were then employed as model to evaluate the cytotoxicity of the AgNPs-NC compound. The latter was found not to impact cell proliferation at any formulation, while decreasing the viability by only 6.8% after 72 h. This study contributes to the development of more environmentally benign routes to produce nanomaterials and to the understanding of their impact on cells.

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“…Fluorescence spectroscopy has already been used in the detection 18 , structural investigation 19 , 20 and in the construction of a DNA biosensor for E. coli 21 . Chemometric methods such as Linear Discriminant Analysis (LDA) 22 , Quadratic Discriminant Analysis (QDA) 23 and Support Vector Machines (SVM) 24 , coupled with the dimensionality reduction algorithm: Principal Component Analysis (PCA) 25 , 26 ,and variable selection algorithms: Genetic Algorithm (GA) 27 and Successive Projections Algorithm (SPA) 28 , tend to enhance the spectroscopic techniques 29 – 31 .…”

Section: Introductionmentioning

confidence: 99%

Identification of resistance in Escherichia coli and Klebsiella pneumoniae using excitation-emission matrix fluorescence spectroscopy and multivariate analysis

Costa

Bezerra

Neto

et al. 2020

Sci Rep

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Klebsiella pneumoniae and Escherichia coli are part of the Enterobacteriaceae family, being common sources of community and hospital infections and having high antimicrobial resistance. This resistance profile has become the main problem of public health infections. Determining whether a bacterium has resistance is critical to the correct treatment of the patient. Currently the method for determination of bacterial resistance used in laboratory routine is the antibiogram, whose time to obtain the results can vary from 1 to 3 days. An alternative method to perform this determination faster is excitation-emission matrix (EEM) fluorescence spectroscopy combined with multivariate classification methods. In this paper, Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and Support Vector Machines (SVM), coupled with dimensionality reduction and variable selection algorithms: Principal Component Analysis (PCA), Genetic Algorithm (GA), and the Successive Projections Algorithm (SPA) were used. The most satisfactory models achieved sensitivity and specificity rates of 100% for all classes, both for E. coli and for K. pneumoniae. This finding demonstrates that the proposed methodology has promising potential in routine analyzes, streamlining the results and increasing the chances of treatment efficiency. The Enterobacteriaceae family is one of the most clinically prominent bacteria groups. One of the main gramnegative pathogen is Klebsiella pneumoniae (K. pneumoniae), which causes opportunistic infections, such as pneumonia, sepsis and inflammation of the urinary tract 1. Another gram-negative that compose the entereobacteriaceae family is Escherichia coli, which are not typically pathogenic to humans and have the ability to cause several diseases in different sites including gastrointestinal tract, the renal system and the central nervous system 2,3. Antibiotic therapy induces the selection of resistant bacteria 4 , which generate environmental and health hazards, and economical risk. Over the last decades, several bacterial strains have become progressively resistant to antimicrobial agents 5. Bacteria may have natural or acquired resistance. Among the genetic variations that confer resistance in bacteria, the main ones are extended spectrum betalactamases 6 (ESBL), AmpC production, Carbapenemases production 7 , KPC group and MBL group 5. Currently, the standard detection method is culture-based, which is time-consuming and labor intensive, providing a slow detection 8. Other methods can be used to obtain faster results, such as low cytometry 9 , electrochemical detection 10 , and polymerase chain reaction (PCR) 11. Near infrared (NIR) 12 , Raman 13 and Fourier transform infrared (FTIR) spectroscopy 14 have been also reported for these applications.

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On the synergy between silver nanoparticles and doxycycline towards the inhibition of Staphylococcus aureus growth

Abstract: Silver nanoparticles conjugated with doxycycline act synergistically to halt S. aureus growth via inhibition of protein synthesis.

Cited by 7 publications

References 29 publications

Co‐delivery of Doxycycline, Florfenicol and Silver Nanoparticles using Alginate/Chitosan Nanocarriers

Co‐delivery of Doxycycline, Florfenicol and Silver Nanoparticles using Alginate/Chitosan Nanocarriers

Silver-nanoparticle-modified nanocellulose synthesized by pyroligneous acid: cytotoxicity towards HaCat cells

Identification of resistance in Escherichia coli and Klebsiella pneumoniae using excitation-emission matrix fluorescence spectroscopy and multivariate analysis

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