Literature DB >> 26732124

Alteration of Bacterial Antibiotic Sensitivity After Short-Term Exposure to Diagnostic Ultrasound.

Seyed Mohammad Javad Mortazavi1, Leili Darvish2, Mohammad Abounajmi3, Samira Zarei4, Tahereh Zare2, Mohammad Taheri5, Samaneh Nematollahi6.   

Abstract

BACKGROUND: Many pathogenic bacteria show different levels of antibiotic resistance. Furthermore, a lot of hospital-acquired infections are caused by highly resistant or multidrug-resistant Gram-negative bacteria. According to WHO, patients with drug-resistant infections have higher morbidity and mortality. Moreover, patients infected with bacteria that are resistant to antibiotics considerably consume more healthcare resources.
OBJECTIVES: In this study, we explored a physical method of converting drug-resistant bacteria to drug-sensitive ones.
MATERIALS AND METHODS: This is an in vitro case-control study, performed at the Ionizing and Non-ionizing Radiation Protection Research Center (INIRPRC), Shiraz University of Medical Sciences (SUMS), Shiraz, Iran in 2014. All experiments were carried out using Gram-negative bacteria Klebsiella pneumonia and E. coli and Gram-positive Staphylococcus aureus and Streptococcus group A, isolated from hospitalized patients. The bacterial strains were obtained from the Persian Type Culture Collection, IROST, Iran (Klebsiella pneumonia PTCC 1290) and Bacteriology Department of Shahid Faghihi Teaching Hospital, Shiraz, Iran (E. coli, Staphylococcus aureus, and Streptococcus group A). The bacteria in culture plates were exposed to diagnostic ultrasound using a MyLab70XVG sonography system for 5 minutes. Then, the bacteria were cultured on Mueller-Hinton agar and incubated at 35°C for 18 hours. Finally, antibiotic susceptibility test was performed and the inhibition zone in both control and exposed groups were measured. Three replicate agar plates were used for each test and the inhibition zones of the plates were recorded.
RESULTS: Compared with the results obtained from unexposed bacteria, statistically significant variations of sensitivity to antibiotics were found in some strains after short-term exposure. In particular, we found major differences (making antibiotic-resistant bacteria susceptible or vice versa) in the diameters of inhibition zones in exposed and non-exposed samples of Klebsiella pneumonia and Streptococcus.
CONCLUSIONS: This study clearly shows that short-term exposure of microorganisms to diagnostic ultrasonic waves can significantly alter their sensitivity to antibiotics. We believe that this physical method of making the antibiotic-resistant population susceptible can open new horizons in antibiotic therapy of a broad range of diseases, including tuberculosis.

Entities:  

Keywords:  Antibiotics; Drug Resistance; Infection; Ultrasound

Year:  2015        PMID: 26732124      PMCID: PMC4698328          DOI: 10.5812/ircmj.26622

Source DB:  PubMed          Journal:  Iran Red Crescent Med J        ISSN: 2074-1804            Impact factor:   0.611


1. Background

The World Health Organization (WHO) believes that antimicrobial resistance (AMR) is a progressive and serious threat to global public health that endangers the effective prevention and treatment of an ever-increasing range of infections caused by bacteria, parasites, viruses, and fungi. According to WHO, as AMR can be found in all parts of the world, international actions are needed to overcome this problem as new resistance mechanisms emerge and spread globally. Diagnostic sonography as a very safe, reliable, and economic way to observe various organs of the body (1, 2) uses ultrasound waves in the frequency range of 1 - 20 MHz (however, frequencies up to 50 - 100 MHz have been used experimentally in ultrasound biomicroscopy, a technique used for obtaining high-resolution in vivo imaging of special regions of the body such as the anterior chamber of the eye). The annual number of ultrasound examinations has increased dramatically over the past decade. The induction of “adaptive response” in bacteria has been already reported (3). Adaptive response can be defined as the induction of repair by pre-exposure to a low level chemical or physical stress. We have previously shown that pre-exposure of living organisms to low levels of ionizing (4-7) or a large dose of non-ionizing radiation (8-12), decrease the detrimental biological effects on these organisms compared to exposure to the large dose alone. Therefore, adaptive response in bacteria can also be observed as the decrease in lethal effects of antibiotics after exposure to a low level physical stress such as short exposure to electromagnetic radiation or ultrasound.

2. Objectives

On the other hand, we have previously shown that pre-exposure of laboratory animals to non-ionizing electromagnetic radiation in radiofrequency (RF) range can induce a survival adaptive response which can be observed as increased resistance to a subsequent Escherichia coli infection (13, 14). Furthermore, over the past years, we have investigated the bio effects of physical stresses such as exposure to ultrasound for enhancing the sensitivity of bacteria to different antibiotics. This study aimed at developing an ultrasound-assisted method for increasing bacterial sensitivity to antibiotics.

3. Materials and Methods

3.1. Isolation and Identification of Isolates

This is an in vitro case-control study, performed at the Ionizing and Non-ionizing Radiation Protection Research Center (INIRPRC), Shiraz University of Medical Sciences (SUMS), Shiraz, Iran in 2014. The bacterial strains were obtained from the Persian Type Culture Collection, IROST, Iran (Klebsiella pneumonia PTCC 1290) and Bacteriology Department of Shahid Faghihi Teaching Hospital, Shiraz, Iran (E. coli, Staphylococcus aureus and Streptococcus group A). The samples were cultured on blood agar and MacConkey agar for the isolation of microorganism. The culture plates were incubated at 37°C for 24 hours and observed for the presence or absence of visible bacterial growth.

3.2. Antibiotic Susceptibility Tests

We performed the antibiotic susceptibility tests by using the Kirby-Bauer disk diffusion method on Muller-Hinton agar (Figure 1). Drug susceptibility test was performed for nitrofurantoin, nalidixic acid (30 μg), gentamicin (10 μg), sulfamethoxazole, cephalexin, ciprofloxacin (5 μg), and cephalothin for Gram-negative bacteria and vancomycin (30 μg), erythromycin (15 μg), amoxicillin (20 μg), penicillin (10 Units), clindamycin (2 μg), and cefixime (5 μg) for Gram-positive bacteria. All culture media and antibiotic disks were purchased from Merck (Germany) and HiMedia Laboratories (Mumbai, India), respectively. Results for antibiotic susceptibility pattern before and after exposure to ultrasound were recorded and analyzed. The inhibition zone of each plate was recorded as the average of 2 diameters (mm) measured at right angles to one another. Three replicate agar plates were used for each regime. According to the CLSI guidelines (2013), the result were categorized as sensitive, intermediate, and resistance.
Figure 1.

Antibiotic Susceptibility Test Performed by Using the Kirby-Bauer Disk Diffusion Method on Muller-Hinton Agar

3.3. Ultrasound Apparatus

The bacteria in culture plates were exposed to diagnostic ultrasound using a recently calibrated MyLab70XVG sonography system (EsaoteBiomedicaMyLab70XVG–Genova, Italia). All ultrasound exposures were performed by a 7.5 - 13 MHz linear array probe (type LA523) by an expert radiologist at Shahid Faghihi teaching Hospital, Shiraz, Iran.

3.4. Statistical Methods

The mean diameters of inhibition zones of the 3 replicates in exposed and non-exposed groups were compared using the nonparametric Mann-Whitney test. The significance level was considered at P < 0.05.

4. Results

Findings of this study are summarized in Tables 1 and 2. Compared to the results obtained from unexposed bacteria, statistically significant variations of sensitivity to antibiotics were found in some strains after short-term exposures. Tables 1 and 2 show the mean diameters of the inhibition zones of non-exposed Klebsiella and those exposed to diagnostic ultrasound in PenM, Res H and Doppler modes, respectively. This part of the study showed major differences in the diameters of zones of inhibition in exposed and non-exposed samples of Klebsiella pneumonia and Staphylococcus aureus. In two modes of ultrasound exposure (PenM and Doppler), ultrasonic waves made sensitive Klebsiella pneumonia resistant to cephalexin (P = 0.001). In ResH mode, ultrasound made sensitive Klebsiella pneumonia intermediate resistant to cephalexin (P = 0.011).
Table 1.

The Mean Diameters of the Inhibition Zones (mm) of Klebsiella (PTCC: 1290) in Bacteria Exposed to Diagnostic Ultrasound (PEN M and RES H Modes) and Non-Exposed Bacteria[a]

AntibioticBacteria Exposed to Diagnostic UltrasoundNon-Exposed BacteriaP Value
Inhibition Zones[b]SensitivityInhibition Zones[b]Sensitivity
PenM Mode
Nitrofurantoin 17.67 ± 0.58Sensitive16.34 ± 0.58Intermediate0.047
Nalidixic acid 20.34 ± 0.58Sensitive19.67 ± 0.58Sensitive0.230
Gentamicin 14.34 ± 0.58Intermediate14.67 ± 0.58Intermediate0.519
Sulfamethoxazol 20.67 ± 0.58Sensitive21.34 ± 0.58Sensitive0.230
Cephalexin 10.67 ± 1.15Resistant16.67 ± 0.58Sensitive0.001
Ciprofloxacin 19.67 ± 0.58Intermediate20.34 ± 0.58Intermediate0.230
Cephalothin 16.67 ± 0.58Intermediate18.34 ± 0.58Sensitive0.024
Res H Mode
Nitrofurantoin 17.34 ± 0.58Sensitive16.34 ± 0.58Intermediate0.101
Nalidixic acid 19.34 ± 0.58Sensitive19.67 ± 0.58Sensitive0.519
Gentamicin 13.67 ± 0.58Intermediate14.67 ± 0.58Intermediate0.101
Sulfamethoxazol 20.34 ± 0.58Sensitive21.34 ± 0.58Sensitive0.101
Cephalexin 13.34 ± 1.15Intermediate16.67 ± 0.58Sensitive0.011
Ciprofloxacin 17.67 ± 0.58Intermediate20.34 ± 0.58Intermediate0.005
Cephalothin 16.34 ± 0.58Intermediate18.34 ± 0.58Sensitive0.013

a(N = 3).

bData are presented as mean ± SD.

Table 2.

The Mean Diameters of the Inhibition Zones (mm) of Klebsiella (PTCC: 1290) in Bacteria Exposed to Diagnostic Ultrasound (Doppler) and Non-Exposed Bacteria [a]

AntibioticBacteria Exposed to Diagnostic UltrasoundNon-Exposed BacteriaP Value
Inhibition Zones[b]SensitivityInhibition Zones[b]Sensitivity
Nitrofurantoin 16.34 ± 0.58Intermediate16.34 ± 0.58Intermediate> 0.999
Nalidixic acid 18.34 ± 0.58Intermediate19.67 ± 0.58Sensitive0.047
Gentamicin 12.34 ± 0.58Resistant14.67 ± 0.58Intermediate0.008
Sulfamethoxazole 17.67 ± 0.58Sensitive21.34 ± 0.58Sensitive0.001
Cephalexin 12.34 ± 0.58Resistant16.67 ± 0.58Sensitive0.001
Ciprofloxacin 17.34 ± 0.58Intermediate20.34 ± 0.58Intermediate0.003
Cephalothin 16.34 ± 0.58Intermediate18.34 ± 0.58Sensitive0.013

a(N = 3).

bData are presented as mean ± SD.

a(N = 3). bData are presented as mean ± SD. a(N = 3). bData are presented as mean ± SD. Tables 3 and 4 show the mean diameters of the inhibition zones of non-exposed Staphylococcus epidermidis and those exposed to diagnostic ultrasound in PenM, ResH and Doppler modes, respectively. Again, statistically significant variations of sensitivity to antibiotics were found in Staphylococcus epidermidis after short-term exposure to ultrasound. However, ultrasound was unable to make antibiotic-resistant bacteria susceptible or to make sensitive bacteria, resistant.
Table 3.

The Mean Diameters of the Inhibition Zones (mm) of Staphylococcus epidermidis in bacteria Exposed to Diagnostic Ultrasound (PenM and Res H modes) and Non-Exposed Bacteria

AntibioticBacteria Exposed to Diagnostic UltrasoundNon-Exposed BacteriaP Value
Inhibition Zones[a]SensitivityInhibition Zones[a]Sensitivity
Pen M Mode
Vancomycin 16.34 ± 0.58Sensitive18.67 ± 0.58Sensitive0.008
Erythromycin 9.34 ± 0.58Resistant10.67 ± 0.58Resistant0.047
Amoxicillin 14.5 ± 0.5Resistant19.67 ± 0.58Resistant0.0001
Penicillin 17.34 ± 0.58Resistant19.67 ± 0.58Resistant0.008
Cefixime 9.84 ± 0.77Resistant9.34 ± 0.58Resistant0.417
ResH Mode
Vancomycin 16.67 ± 0.58Sensitive18.67 ± 0.58Sensitive0.013
Erythromycin 10Resistant10.67 ± 0.58Resistant0.184
Amoxicillin 15.5 ± 0.87Resistant19.67 ± 0.58Resistant0.002
Penicillin 19.67 ± 0.58Resistant19.67 ± 0.58Resistant> 0.999
Cefixime 9.34 ± 0.58Resistant9.34 ± 0.58Resistant> 0.999

aData are presented as mean ± SD.

Table 4.

The Mean Diameters of the Inhibition Zones (mm) of Staphylococcus epidermidis in Bacteria Exposed to Diagnostic Ultrasound (Doppler) and Non-Exposed Bacteria[a]

AntibioticBacteria Exposed to Diagnostic UltrasoundNon-Exposed BacteriaP Value
Inhibition Zones[b]SensitivityInhibition Zones[b]Sensitivity
Vancomycin 16.34 ± 0.58Sensitive18.67 ± 0.58Sensitive0.008
Erythromycin 8.84 ± 0.29Resistant10.67 ± 0.58Resistant0.008
Amoxicillin 16.67 ± 0.58Resistant19.67 ± 0.58Resistant0.003
Penicillin 19.34 ± 0.58Resistant19.67 ± 0.58Resistant0.519
Cefixime 9.34 ± 0.58Resistant9.34 ± 0.58Resistant> 0.999

a(N = 3).

bData are presented as mean ± SD.

aData are presented as mean ± SD. a(N = 3). bData are presented as mean ± SD. Tables 5 and 6 show the mean diameters of the inhibition zones of non-exposed Staphylococcus aureus and those exposed to diagnostic ultrasound in PenM, ResH and Doppler modes, respectively. As observed in previous tests, statistically significant variations of sensitivity to antibiotics were found in Staphylococcus aureus after short-term exposure to ultrasound. In this experiment, ultrasound was able to make antibiotic-resistant bacteria susceptible. In one mode of ultrasound exposure (PenM) ultrasound made resistant Staphylococcus aureus sensitive to amoxicillin (P = 0.003). However, ultrasound was unable to make antibiotic-resistant bacteria susceptible in other modes (ResH and Doppler). Tables 7 and 8 show the mean diameters of the inhibition zones of non-exposed Salmonella sp. and those exposed to diagnostic ultrasound in PenM, ResH and Doppler modes, respectively. Although statistically significant variations of sensitivity to antibiotics were found in Salmonella sp. after short-term exposure to ultrasound, conversion of antibiotic-resistant bacteria to susceptible or vice versa was not found.
Table 5.

The Mean Diameters of the Inhibition Zones (mm) of Staphylococcus aureus in Bacteria Exposed to Diagnostic Ultrasound (PenM and ResH Modes) and Non-Exposed Bacteria[a]

AntibioticBacteria Exposed to Diagnostic UltrasoundNon-Exposed BacteriaP Value
Inhibition Zones[b]SensitivityInhibition Zones[b]Sensitivity
Pen M Mode
Vancomycin 17.67 ± 0.58Sensitive14.67 ± 0.58Sensitive0.003
Erythromycin 0Resistant8.34 ± 0.58Resistant0.002
Amoxicillin 20.34 ± 0.58Sensitive17.34 ± 0.58Resistant0.003
Penicillin 17.67 ± 0.58Resistant13.17 ± 0.77Resistant0.001
Clindamycin 29.34 ± 0.58Sensitive26.34 ± 0.58Sensitive0.003
Cefixime 15.17 ± 0.29(I)ntermediate16.84 ± 0.29Intermediate0.002
ResH Mode
Vancomycin 16.67 ± 0.58Sensitive14.67 ± 0.58Sensitive0.013
Erythromycin 0Resistant8.34 ± 0.58Resistant0.002
Amoxicillin 17.5 ± 0.87Resistant17.34 ± 0.58Resistant0.795
Penicillin 16.67 ± 0.58Resistant13.17 ± 0.77Resistant0.003
Clindamycin 29.67 ± 0.58Sensitive26.34 ± 0.58Sensitive0.002
Cefixime 15.34 ± 0.58Intermediate16.84 ± 0.29Intermediate0.016

a(N = 3).

bData are presented as mean ± SD.

Table 6.

The Mean Diameters of the Inhibition Zones (mm) of Staphylococcus aureus in Bacteria Exposed to Diagnostic Ultrasound (Doppler) and Non-Exposed Bacteria[a]

AntibioticBacteria Exposed to Diagnostic UltrasoundNon-Exposed BacteriaP Value
Inhibition Zones[b]SensitivityInhibition Zones[b]Sensitivity
Vancomycin 18.67 ± 0.58Sensitive14.67 ± 0.58Sensitive0.001
Erythromycin 0Resistant8.34 ± 0.58Resistant0.002
Amoxicillin 18.84 ± 0.29Resistant17.34 ± 0.58Resistant0.016
Penicillin 16.34 ± 0.58Resistant13.17 ± 0.77Resistant0.005
Clindamycin 29.5 ± 0.87Sensitive26.34 ± 0.58Sensitive0.006
Cefixime 15.5 ± 0.5Intermediate16.84 ± 0.29Intermediate0.016

a(N = 3).

bData are presented as mean ± SD.

Table 7.

The Mean Diameters of the Inhibition Zones (mm) of Salmonella in Bacteria Exposed to Diagnostic Ultrasound (PEN M and RES H Modes) and Non-Exposed Bacteria[a]

AntibioticBacteria Exposed to Diagnostic UltrasoundNon-Exposed BacteriaP Value
Inhibition Zones[b]SensitivityInhibition Zones[b]Sensitivity
PenM Mode
Ciprofloxacin 28.34 ± 0.58Sensitive34.34 ± 0.58Sensitive0.0001
Cefixime 23.67 ± 0.58Sensitive25.67 ± 0.58Sensitive0.013
Amikacin 21.67 ± 0.58Sensitive21.67 ± 0.53Sensitive> 0.999
Sulfamethoxazole/trimethoprim 26.67 ± 0.58Sensitive29.67 ± 0.58Sensitive0.003
Cephalexin 26.34 ± 0.58Sensitive24.34 ± 0.58Sensitive0.013
Gentamycin 20.67 ± 0.58Sensitive20.67 ± 0.58Sensitive> 0.999
ResH Mode
Ciprofloxacin 27.34 ± 0.58Sensitive34.34 ± 0.58Sensitive0.0001
Cefixime 22.34 ± 0.58Sensitive25.67 ± 0.58Sensitive0.002
Amikacin 20.67 ± 0.58Sensitive21.67 ± 0.53Sensitive0.101
Sulfamethoxazole/trimethoprim 26.34 ± 0.58Sensitive29.67 ± 0.58Sensitive0.002
Cephalexin 23.17 ± 0.29Sensitive24.34 ± 0.58Sensitive0.035
Gentamycin 17.67 ± 0.58Sensitive20.67 ± 0.58Sensitive0.003

a(N = 3).

bData are presented as mean ± SD.

Table 8.

The Mean Diameters of the Inhibition Zones (mm) of Salmonella in Bacteria Exposed to Diagnostic Ultrasound (Doppler) and Non-Exposed Bacteria[a]

AntibioticBacteria Exposed to Diagnostic UltrasoundNon-Exposed BacteriaP Value
Inhibition Zones[b]SensitivityInhibition Zones[b]Sensitivity
Ciprofloxacin 27.67 ± 0.58Sensitive34.34 ± 0.58Sensitive0.0001
Cefixime 23.34 ± 0.58Sensitive25.67 ± 0.58Sensitive0.008
Amikacin 21.34 ± 0.58Sensitive21.67 ± 0.53Sensitive0.519
Sulfamethoxazole/trimethoprim 28.84 ± 0.77Sensitive29.67 ± 0.58Sensitive0.206
Cephalexin 23.67 ± 0.58Sensitive24.34 ± 0.58Sensitive0.203
Gentamycin 18.5 ± 0.5Sensitive20.67 ± 0.58Sensitive0.008

a(N = 3).

bData are presented as mean ± SD.

a(N = 3). bData are presented as mean ± SD. a(N = 3). bData are presented as mean ± SD. a(N = 3). bData are presented as mean ± SD. a(N = 3). bData are presented as mean ± SD.

5. Discussion

To the best of our knowledge this is the first study that explores the effect of ultrasound exposure as a mechanical stress on the antibiotic susceptibility of some microorganisms. In this study, we found some major alterations in the diameters of the inhibition zones in Klebsiella pneumonia and Staphylococcus aureus after exposure to ultrasound waves. Interestingly, ultrasound was capable of making some antibiotic-resistant bacteria susceptible as well as making some sensitive bacteria, resistant. Antibiotic resistance can be defined as the ability of microorganisms to resist the lethal effects of specific antibiotics. This phenomenon occurs when the effectiveness of drugs to cure or prevent infections reduces or vanishes (15). Lattimer et al. (16) in a paper published in JAMA in 1961 reported that in spite of great advances in medicine, scientists are losing the battle against drug resistance. At that time, they believed that the speed of discovery and development of new drugs was not fast enough to take over the significant ability of some microorganisms to develop resistant mutants. Therefore, they predicted that humans might encounter lethal epidemics in the future if they could not control drug-resistant microorganisms (16). Now, we should confess that the situation has not changed significantly since the publication of this paper more than 50 years ago. The decrease observed in the diameters of the inhibition zones in Klebsiella pneumonia and Staphylococcus aureus after exposure to ultrasound waves, can be interpreted as an adaptive response. Adaptive response can be defined as the acquisition of radiation resistance against exposure to high dose in cultured cells or organisms which had been previously pretreated with an adapting low dose radiation (this low dose radiation is also called “priming dose” or “conditioning dose”) (17). This observation is generally in line with our previous reports on the induction of adaptive response after exposure to low levels of ionizing (4-7) and non-ionizing radiation (8-12). More specifically, our findings are in line with the reports indicating that when bacteria are exposed to mild forms of different stresses (chemical and physical stresses), this stress improves their abilities to adapt and become resistant to any subsequent more extreme exposures (18-20). Also, that pre-exposure can increase the resistance to other exposures (e.g. exposure to antibiotics) and induce “cross-protection” phenomenon (3). The main limitation of our experiment was the low number of bacterial strains studied. However, the unique inter-department collaboration in our study was a significant strength point. Based on these results, we believe that short-term exposure of microorganisms to diagnostic ultrasonic waves can significantly alter their sensitivity to antibiotics. It can be concluded that the physical methods of making the antibiotic-resistant population susceptible can open new horizons in antibiotic therapy fora broad range of diseases, including tuberculosis. On the other hand, when exposure to ultrasound makes the antibiotic-susceptible population resistant, this may endanger patients’ lives.
  9 in total

1.  Environmental stress and antibiotic resistance in food-related pathogens.

Authors:  M Ann S McMahon; Jiru Xu; John E Moore; Ian S Blair; David A McDowell
Journal:  Appl Environ Microbiol       Date:  2006-12-01       Impact factor: 4.792

Review 2.  Modes and modulations of antibiotic resistance gene expression.

Authors:  Florence Depardieu; Isabelle Podglajen; Roland Leclercq; Ekkehard Collatz; Patrice Courvalin
Journal:  Clin Microbiol Rev       Date:  2007-01       Impact factor: 26.132

3.  Drug-resistant bacteria made drug-susceptible by enzyme inhibitors.

Authors:  J K LATTIMER; H SENECA; H H ZINSSER; J T DONOVAN
Journal:  JAMA       Date:  1961-11-18       Impact factor: 56.272

4.  Non-linear adaptive phenomena which decrease the risk of infection after pre-exposure to radiofrequency radiation.

Authors:  S M J Mortazavi; M Motamedifar; G Namdari; M Taheri; A R Mortazavi; N Shokrpour
Journal:  Dose Response       Date:  2013-07-18       Impact factor: 2.658

5.  Effects of osmotic pressure, acid, or cold stresses on antibiotic susceptibility of Listeria monocytogenes.

Authors:  Anas A Al-Nabulsi; Tareq M Osaili; Reyad R Shaker; Amin N Olaimat; Ziad W Jaradat; Noor A Zain Elabedeen; Richard A Holley
Journal:  Food Microbiol       Date:  2014-08-07       Impact factor: 5.516

6.  Increased Radioresistance to Lethal Doses of Gamma Rays in Mice and Rats after Exposure to Microwave Radiation Emitted by a GSM Mobile Phone Simulator.

Authors:  Smj Mortazavi; Ma Mosleh-Shirazi; Ar Tavassoli; M Taheri; Ar Mehdizadeh; Sas Namazi; A Jamali; R Ghalandari; S Bonyadi; M Haghani; M Shafie
Journal:  Dose Response       Date:  2012-07-02       Impact factor: 2.658

Review 7.  Emergence and spread of antibiotic resistance: setting a parameter space.

Authors:  José Luis Martínez; Fernando Baquero
Journal:  Ups J Med Sci       Date:  2014-03-30       Impact factor: 2.384

8.  The role of lung ultrasound in diagnosis of respiratory distress syndrome in newborn infants.

Authors:  Jing Liu; Hai-Ying Cao; Hua-Wei Wang; Xiang-Yong Kong
Journal:  Iran J Pediatr       Date:  2014-04       Impact factor: 0.364

9.  A case of neonatal urosepsis with multifocal osteoarthritis: could ultrasonography change the clinical course?

Authors:  Giovanni Ottonello; Angelica Dessì; Maria Elisabetta Trudu; Carmela Porcu; Vassilios Fanos
Journal:  Iran J Radiol       Date:  2013-08-30       Impact factor: 0.212

  9 in total
  5 in total

1.  Evaluation of the Effect of Radiofrequency Radiation Emitted From Wi-Fi Router and Mobile Phone Simulator on the Antibacterial Susceptibility of Pathogenic Bacteria Listeria monocytogenes and Escherichia coli.

Authors:  M Taheri; S M J Mortazavi; M Moradi; S Mansouri; G R Hatam; F Nouri
Journal:  Dose Response       Date:  2017-01-23       Impact factor: 2.658

2.  Exposure to Visible Light Emitted from Smartphones and Tablets Increases the Proliferation of Staphylococcus aureus: Can this be Linked to Acne?

Authors:  M Taheri; M Darabyan; E Izadbakhsh; F Nouri; M Haghani; S A R Mortazavi; G Mortazavi; S M J Mortazavi; M Moradi
Journal:  J Biomed Phys Eng       Date:  2017-06-01

3.  Re: Presence of Multidrug Resistant Bacteria on Mobile Phones of Healthcare Workers Accelerates the Spread of Nosocomial Infections and Regarded as a Threat to Public Health in Bangladesh.

Authors:  S M J Mortazavi
Journal:  J Microsc Ultrastruct       Date:  2018 Oct-Dec

4.  Antibacterial Susceptibility Pattern of the Pseudomonas aeruginosa and Staphylococcus aureus after Exposure to Electromagnetic Waves Emitted from Mobile Phone Simulator.

Authors:  M M Movahedi; F Nouri; A Tavakoli Golpaygani; L Ataee; S Amani; M Taheri
Journal:  J Biomed Phys Eng       Date:  2019-12-01

Review 5.  Ultrasound-mediated therapies for the treatment of biofilms in chronic wounds: a review of present knowledge.

Authors:  Gareth LuTheryn; Peter Glynne-Jones; Jeremy S Webb; Dario Carugo
Journal:  Microb Biotechnol       Date:  2019-08-07       Impact factor: 5.813

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.