Back

Joint antibiotic and phage therapy: addressing the limitations of a seemingly ideal phage for treating Staphylococcus aureus infections

Berryhill, B.; Huseby, D.; McCall, I. C.; Hughes, D.; Levin, B. R.

2020-11-08 microbiology
10.1101/2020.04.24.060335 bioRxiv
Show abstract

In response to increasing frequencies of antibiotic-resistant pathogens, there has been a resurrection of interest in the use of bacteriophage to treat bacterial infections: phage therapy. Here we explore the potential of a seemingly ideal phage, PYOSa, for combination phage and antibiotic treatment of Staphylococcus aureus infections. (i) This K-like phage has a broad host range; all 83 tested clinical isolates of S.aureus tested were susceptible to PYOSa. (ii) Because of the mode of action of PYOSa S. aureus is unlikely to generate classical receptor-site mutants resistant to PYOSa; none were observed in the 13 clinical isolates tested. (iii) PYOSa kills S. aureus at high rates. On the downside, the results of our experiments and tests of the joint action of PYOSa and antibiotics raise issues that must be addressed before PYOSa is employed clinically. Despite the maintenance of the phage, PYOSa does not clear the populations of S. aureus. Due to the ascent of a phenotypically diverse array of small colony variants following an initial demise, the bacterial populations return to densities similar to that of phage-free controls. Using a combination of mathematical modeling and in vitro experiments, we postulate and present evidence for a mechanism to account for the demise-resurrection dynamics of PYOSa and S. aureus. Critically for phage therapy, our experimental results suggest that treatment with PYOSa followed by bactericidal antibiotics can clear populations of S. aureus more effectively than the antibiotics alone. Significance StatementThe increasing frequency of antibiotic-resistant pathogens has fostered a quest for alternative means to treat bacterial infections. Prominent in this quest is a therapy that predates antibiotics: bacteriophage. This study explores the potential of a phage, PYOSa, for treating Staphylococcus aureus infections in combination with antibiotics. On first consideration, this phage, isolated from a commercial therapeutic cocktail, seems ideal for this purpose. The results of this population dynamic and genomic analysis study identify a potential liability of using PYOSa for therapy. Due to the production of potentially pathogenic atypical small colony variants, PYOSa alone cannot eliminate S. aureus populations. However, we demonstrate that by following the administration of PYOSa with bactericidal antibiotics, this limitation and potential liability can be addressed.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Microbiology
57 papers in training set
Top 0.1%
18.7%
2
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 5%
10.1%
3
PLOS Computational Biology
1633 papers in training set
Top 4%
8.4%
4
eLife
5422 papers in training set
Top 10%
7.2%
5
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 0.4%
7.2%
50% of probability mass above
6
PLOS Biology
408 papers in training set
Top 0.6%
7.2%
7
Journal of The Royal Society Interface
189 papers in training set
Top 1.0%
4.0%
8
mBio
750 papers in training set
Top 4%
3.6%
9
mSystems
361 papers in training set
Top 3%
3.6%
10
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 2%
3.1%
11
Evolutionary Applications
91 papers in training set
Top 0.4%
2.6%
12
PLOS ONE
4510 papers in training set
Top 46%
2.4%
13
PLOS Genetics
756 papers in training set
Top 8%
1.9%
14
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 0.3%
1.7%
15
Scientific Reports
3102 papers in training set
Top 58%
1.7%
16
PLOS Pathogens
721 papers in training set
Top 6%
1.5%
17
Journal of Theoretical Biology
144 papers in training set
Top 1%
0.9%
18
PeerJ
261 papers in training set
Top 14%
0.8%
19
Current Biology
596 papers in training set
Top 14%
0.7%
20
Antibiotics
32 papers in training set
Top 1%
0.7%
21
Science Advances
1098 papers in training set
Top 31%
0.7%
22
Ecology Letters
121 papers in training set
Top 1%
0.7%
23
PNAS Nexus
147 papers in training set
Top 3%
0.6%