Next Article in Journal
Phage Encounters Recorded in CRISPR Arrays in the Genus Oenococcus
Next Article in Special Issue
Comparative Genomics of a Polyvalent Escherichia-Salmonella Phage fp01 and In Silico Analysis of Its Receptor Binding Protein and Conserved Enterobacteriaceae Phage Receptor
Previous Article in Journal
Alpha and Omicron SARS-CoV-2 Adaptation in an Upper Respiratory Tract Model
Previous Article in Special Issue
Recombination Events in Putative Tail Fibre Gene in Litunavirus Phages Infecting Pseudomonas aeruginosa and Their Phylogenetic Consequences
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Microcalorimetry: A Novel Application to Measure In Vitro Phage Susceptibility of Staphylococcus aureus in Human Serum

by
Michèle M. Molendijk
1,2,
My V. T. Phan
2,3,
Lonneke G. M. Bode
1,
Nikolas Strepis
1,
Divyae K. Prasad
2,
Nathalie Worp
2,
David F. Nieuwenhuijse
2,
Claudia M. E. Schapendonk
2,
Bouke K. H. L. Boekema
4,
Annelies Verbon
1,
Marion P. G. Koopmans
2,
Miranda de Graaf
2,† and
Willem J. B. van Wamel
1,*,†
1
Department Medical Microbiology and Infectious Diseases, Erasmus MC, 3015 Rotterdam, The Netherlands
2
Department of Viroscience, Erasmus MC, 3015 Rotterdam, The Netherlands
3
Medical Research Council/Uganda Virus Research Institute, London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe P.O. Box 49, Uganda
4
Association of Dutch Burn Centres, 1941 AJ Beverwijk, The Netherlands
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Viruses 2023, 15(1), 14; https://doi.org/10.3390/v15010014
Submission received: 31 October 2022 / Revised: 14 December 2022 / Accepted: 16 December 2022 / Published: 20 December 2022
(This article belongs to the Special Issue Viruses of Microbes 2022)

Abstract

:
Infections involving antibiotic resistant Staphylococcus aureus (S. aureus) represent a major challenge to successful treatment. Further, although bacteriophages (phages) could be an alternative to antibiotics, there exists a lack of correlation in phage susceptibility results between conventional in vitro and in vivo assays. This discrepancy may hinder the potential implementation of bacteriophage therapy. In this study, the susceptibility of twelve S. aureus strains to three commercial phage cocktails and two single phages was assessed. These S. aureus strains (including ten clinical isolates, five of which were methicillin-resistant) were compared using four assays: the spot test, efficiency of plating (EOP), the optical density assay (all in culture media) and microcalorimetry in human serum. In the spot test, EOP and optical density assay, all cocktails and single phages lysed both methicillin susceptible and methicillin resistant S. aureus strains. However, there was an absence of phage-mediated lysis in high concentrations of human serum as measured using microcalorimetry. As this microcalorimetry-based assay more closely resembles in vivo conditions, we propose that microcalorimetry could be included as a useful addition to conventional assays, thereby facilitating more accurate predictions of the in vivo susceptibility of S. aureus to phages during phage selection for therapeutic purposes.

1. Introduction

Staphylococcus aureus (S. aureus) causes many types of infections, ranging from relatively harmless skin infections to life-threatening endocarditis. In addition, it is the leading cause of bloodstream infections in industrialized countries [1,2,3]. In Europe, infections involving methicillin resistant S. aureus (MRSA) are the second most reported cause of death involving antimicrobial resistant pathogens [4]. Further, the high prevalence of antibiotic resistant S. aureus infections means that there is a need for new therapeutics against this pathogen, particularly against MRSA. A possible alternative to the use of antibiotics are bacteriophages (phages), which are viruses that can infect and lyse bacteria [5,6,7,8]. However, phages are generally very specific for individual strains of bacteria, meaning that the susceptibility of an infecting bacteria should be determined before patient treatment with phages begins. Currently however, there is a lack of standardized methods determining phage susceptibility of bacteria. Importantly, results of currently used in vitro assays for determining phage susceptibility do not always correlate with in vivo phage susceptibility results [9,10], possibly as a result of the complex interactions between phages, bacteria and the human microenvironment—which in vitro conditions might not adequately capture. For example, the expression and glycosylation of surface molecules (such as wall teichoic acid (WTA)) of S. aureus can be influenced by external environmental conditions [11,12,13,14,15]. As WTA may serve as a receptor for S. aureus phages, different environmental conditions may influence phage receptor availability and thus phage susceptibility [12,15]. Consequently, results from in vitro testing may lead to inadequate predictions of clinical outcomes; hence, hampering the advancement of phage therapy [9].
The use of animal models can aid in the translation of in vitro susceptibility results to in vivo phage efficacy in humans [16]. However, even though animal models allow investigation of bacteriophage efficacy under complex physiological conditions, they also suffer from drawbacks. For example, when it comes to studying S. aureus infections, the biggest limitation is differential host interaction observed between animal and human infections. In this respect, several host-specific virulence factors and immune evasion molecules are known to be responsible for the differences in host-pathogen interactions observed between S. aureus infections of mice and humans [17,18]. Additionally, when it comes to bacterial susceptibility testing of phages, animal experiments are time-consuming, come with substantial financial costs and involve multiple ethical considerations [19]. These factors mean that in vitro phage susceptibility testing assays will continue to remain important for phage susceptibility testing and phage selection prior to the administration of phage therapy.
In this publication, the authors used three in vitro assays to determine the phage susceptibility of a panel of S. aureus strains associated with several genomic clonal complexes (CCs). Strains within the CCs can differ in their glycosylation of the phage receptor WTA and in their restriction-modification (RM) systems. RM systems use specific methylation patterns to mark autologous DNA so that restriction enzymes can recognize this and destroy foreign DNA lacking these specific methylation patterns. This means that DNA of phages propagated in bacteria possessing one type of RM system can be recognized as foreign by bacteria possessing other types of RM systems, thereby limiting the range of bacterial strains that can be effectively treated by a phage propagated in a host of another CC [12,20,21]. Therefore, considering the potential influence of WTA and RM systems, the S. aureus panel used was chosen to represent the genetic variety of S. aureus CCs found in humans, while also displaying various clinically relevant antibiotic resistance profiles [22]. The phage susceptibility of our S. aureus panel was determined using three commercially available phage cocktails and two single phages, and was assessed in the spot test and optical density (OD) assay. These are regarded as the conventional assays for phage susceptibility testing prior to the selection of phages for phage therapy [9]. In addition, microcalorimetry (MC) was assessed as an additional tool to determine phage susceptibility in both bacterial culture media and human serum [23,24,25].

2. Materials and Methods

2.1. S. aureus Isolates and Phage Cocktails

S. aureus isolates used are listed in Table 1. The panel contains five MRSA isolates, including SaC042W and MW2 which are closely associated with community outbreaks in the US, Canada, Europe and Asia [26,27]. In addition to the recently isolated clinical strains, two laboratory strains were included: namely, RN4220 and R5. In contrast to the clinical strains, which were isolated from patients and hardly propagated since, the laboratory strains used have been passaged many times in laboratories around the world. RN4220 was chosen as it is widely used because it can accept foreign DNA due to a mutation in the restriction enzyme of its RM system [28]. The R5 strain was chosen because it is highly sensitive to phages and has historically been used for the propagation of phages for phage typing [29].
The commercial bacteriophage cocktails used were Georgian Pyofag cocktail (GPC) (Pharmex Group, Boryspil, Ukraine, batch #432118), Intestifag cocktail (INT) (Pharmex Group, Boryspil, Ukraine, batch #4311118) and Russian Pyobacteriophage cocktail (RPC) (NPO Microgen, Novgorod, Russia, batch #LS-000700). Multiple versions of these three cocktails are currently still commonly used in Russia and Georgia, and have been utilized both in animal models and clinical trials evaluating phage therapy [10,25,30,31,32,33].
Table 1. Panel of S. aureus isolates used in this study.
Table 1. Panel of S. aureus isolates used in this study.
IsolateClonal ComplexMSSA/MRSASourceAccession NumberReferences
Mup15CC15MSSANose, healthy carrier (The Netherlands, 1999–2001)ERS12471228[34,35]
Mup3199CC25MSSANose, healthy carrier (The Netherlands, 1999–2001)ERS12471229[36]
Mup2723CC30MSSANose, healthy carrier (The Netherlands, 1999–2001)ERS12471230[36]
Mup2396CC45MSSANose, healthy carrier (The Netherlands, 1999–2001)ERS12471231[36]
SA2704CC72MSSANose, healthy carrier (The Netherlands, 1999–2001)ERS12471232[36]
MW2 (USA400)CC1MRSABlood (USA, 1998)NC_003923.1[37]
Mu50CC5MRSAVISA *, surgical wound (Japan, 1997)BA000017.4[38]
SAC042W (USA300)CC8 MRSASkin abscess (USA, 2006–2008)ERS12471233[39,40]
M116CC8MRSAOsteomyelitis (Indonesia, 2011)ERS12471234[41]
Rww146CC398MRSALive-stock associated clinical isolateERS12471235[42,43]
RN4220CC8MSSADerivative of strain 8324-4NZ_AFGU00000000.1[28]
R5CC30MSSARIVM, Phage typing strainERS12471236[29]
* Vancomycin intermediate S. aureus.

2.2. Single Phage Isolation and Production

Single phages were isolated from the RPC as described previously [44]. In short, a double layer assay was performed with the RPC using S. aureus strain R5 as the host. Plaques displaying different morphologies were picked and passaged on R5 until a single plaque morphology was obtained. Another double layer assay was performed to obtain full plate lysis to harvest the purified phage. The upper layer containing purified phages on the plates was scraped and suspended in SM buffer (100 mM NaCl, 8 mM MgSO4·7H2O and 1 M Tris-CI, pH 7.5), followed by centrifugation at 4000× g for 5 min to pellet any (bacterial) debris. The supernatant was stored at 4 °C until further use. To obtain high concentrations of each phage, S. aureus strain R5 was grown in 100 mL TSB and 20 µL of a single phage was added when the bacteria reached the exponential growth phase (OD600 = 0.3–0.6). The suspension of bacteria and phages was incubated overnight, shaking at 37 °C. After incubation, the phage lysate was centrifuged at 4000× g for 40 min at 4 °C. the supernatant was recovered and filtered using a 0.22 µm Whatman puradisc filter (Merck KGaA, Darmstadt, Germany). The filtrate was stored at 4 °C.

2.3. Next Generation Sequencing and Data Analysis

2.3.1. S. aureus Isolates

MW2, Mu50 and RN4220 genomes were obtained from NCBI genomic repository (NC_003923.1, BA000017.4 and NZ_AFGU00000000.1, respectively). For the other isolates, DNA was isolated from freshly grown cultures using the Zymo Research Quick-DNA Fungal/Bacterial Miniprep Kit (Baseclear, Leiden, The Netherlands). Sequencing libraries were prepared from the extracted DNA using the Nextera DNA Flex Library Preparation Kit (Illumina, San Diego, CA, USA) and sequenced on an Illumina iSEQ 100 System (Illumina, San Diego, CA, USA), generating 150 bp paired-end reads. Then, reads were assembled using both CLC Genomics Workbench v20 (Qiagen, Hilden, Germany) and Unicycler v0.4 [45] with default parameters and analyzed using the available scheme in SeqSphere software v5.1.0 (Ridom, Munster, Germany). To assess the genomic diversity of the strains in our panel compared to global diversity, S. aureus genomes (N = 289 sequences) representing the current diversity of S. aureus were retrieved from Genbank using genomes that had been released in the year 2021 (1 January 2021–31 December 2021). The MLST and CC sequence type (ST) analyses were performed using SeqSphere+ v5.1 (Ridom, Münster, Germany). From the downloaded sequences, a maximum of fifteen genomic sequences per ST were randomly selected for further analysis, resulting in a dataset of 205 S. aureus genomes, including the genomic sequences of the twelve strains used in this study. All genomes were subjected to k-mer analysis using kSNP3 v1.1 [46] with default parameters and a k-mer size of 17. The generated maximum-likelihood tree from the core SNPs was uploaded in iTOL v6.5 [47].
For the twelve isolates used in this study, the presence of known phage-resistance genes, such as phage receptors and RM systems, described by Moller et al. (2021) was assessed using BLASTn [48]. The presence of known phage-resistance systems, such as Gabija and Thoeris, was examined using PADLOC, which is an online tool created for this purpose by Payne et al. [49,50,51].

2.3.2. Phage Cocktails and Single Phages

To concentrate the single phages for sequencing PEG6000 (Merck KGaA, Darmstadt, Germany) was added. To enhance virus particle precipitation, the pH was adjusted to 4 using HCl [52]. After overnight incubation at 4 °C, the phages were centrifuged at 13,500× g for ninety minutes. The pellet containing the concentrated phages was dissolved in glycine buffer (glycine 3.75 g/L, NaCl 9 g/L, pH 9.5). Chloroform was added to lyse remaining (infected) bacterial cells and the sample was centrifuged for five minutes at 13,500× g to remove bacterial debris. After centrifugation, the upper phase containing the purified and concentrated phages was collected for sequencing. The phage cocktails were not concentrated or purified to conserve all phages present, but they were centrifuged for five minutes at 13,500× g to pellet bacterial debris and the supernatant was collected for sequencing. The concentrated single phages and phage cocktails were incubated separately with TURBO DNAse (ThermoFisher Scientific, Waltham, MA, USA) for 30 min at 37 °C to remove free nucleic acids. Next, total nucleic acids were extracted using the High Pure RNA Isolation Kit (cat #11828665001, Roche, Basel, Switzerland), of which the DNAse step was omitted to assure extraction of both RNA and DNA. RNA was transcribed into cDNA using random primers (Promega, Madison, WI, USA) and SuperScript IV (ThermoFisher Scientific, Waltham, MA, USA), followed by dsDNA synthesis using Klenow fragments (NEB). The resulting dsDNA was subjected to library preparation and Nanopore sequencing using the PCR Barcoding Kit SQK-PBK004 (Oxford Nanopore, Oxford, UK) according to the manufacturer’s instructions, on a FLO-MIN112 flowcell.
To obtain a general overview of the diversity of phages present in the three phage cocktails, a read-based taxonomic annotation was performed against all bacteriophage sequences available in Genbank, using BLASTn. The abundance of reads mapped to bacteriophages relative to the total amount of reads in the sample has been denoted in Supplementary Materials Table S1.
To specifically look at staphylococci infecting phages present in the phage cocktails, first the raw reads were demultiplexed using CD-HIT-DUP [53] and quality control was performed using fastp v0.12 [54]. Reads with length <75 nt and Phred score <10 were discarded. The resulting reads were de novo assembled using Canu v2.2, with an estimated genome size of 150 kb for single phages and high sensitivity settings [55]. Then, the contigs were mapped against five reference phage genomes representing the genera currently known to infect staphylococci: phage phiSA_BS2 (Boashanvirus, NC_047948.1), phage K (Kayvirus, KF766114.1), phiIBB-SEP1 (Sepunavirus, NC_041928.1), phage Remus (Silviavirus, MW546076.1), phage Twort (Twortvirus, MT151386.1). For the single phages, after assembly, the tail sheath protein genes (accession numbers OP352909 and OP352910) were aligned to the same five reference phage genomes. A maximum-likelihood nucleotide tree based on the tail sheath protein was constructed using IQTree v.1.6, with 1000 bootstraps [56,57] and visualized using FigTree (v1.4.) [58]. A sequence identity matrix of the partial genomes of RPCSa1 and RPCSa2, based on phage K (nt 40352 to nt 141284) as the reference genome, was created using BioEdit v7.2 [59].

2.4. Spot Test

Bacterial strains were grown overnight on Tryptic Soy Agar II plates with 5% sheep blood (TSA II) (BD, Franklin Lakes, NJ, USA). A single bacterial colony was incubated in Luria-Bertani (LB) broth (Merck KGaA, Darmstadt, Germany) at 37 °C and grown until the exponential phase (OD600 = 0.5 ± 0.2). Next, 200 µL of bacteria was added to 4 mL 0.35% LB agar (containing 1 M CaCl2 and 1 M MgSO4) and poured onto a 1.4% LB agar plate. Tenfold dilutions of the phage cocktails or single phages were prepared in SM buffer. When the 0.35% LB agar solidified, a 10 µL of serially diluted phage was pipetted onto the plate. Plates were incubated overnight at 37 °C and individual plaques were counted.

2.5. Optical Density (OD) Assay

S. aureus isolates were grown overnight on TSA II plates, suspended in TSB to OD600 = 0.5 (approx. 1 × 108 colony forming units (cfu)/mL) and further diluted in TSB to achieve approximately 1 × 105 cfu/mL. For the phage cocktails, threefold dilutions were made, starting at 2.4 × 106 plaque-forming units (pfu)/mL (undiluted) in SM buffer. All phage concentrations were determined using S. aureus R5 and thus excluded phages infecting other bacteria. For the single phages, tenfold dilutions started at 3 × 108 pfu/mL. Finally, 180 µL of the bacterial suspension was added to 20 µL of phage dilution in a flat bottom plate (Corning Inc., Corning, NY, USA). Bacterial suspension with 20 µL SM buffer containing gelatin was used as a positive control for bacterial growth and 180 µL TSB with 20 µL SM buffer as a negative control. Plates were incubated at 37 °C in the FLUOstar Omega (BMG Labtech, software v5.50), shaking at 100 revolutions per minute (rpm) before every measurement. Turbidity was measured as OD600 every 10 min for 24 h (Supplementary Materials Figure S1). After 24 h of incubation, the suspensions from each well were grown overnight at 37 °C on TSA II plates, colonies were counted and the cfu/mL was determined to validate the effect of phage dilution on bacterial growth. For clarity Graphpad Prism (GraphPad Software v8.4.1) was used to calculate the area under the curve (AUC) of the turbidity over time. The percentage of the AUC relative to the growth control (set at 100%) was visualized, allowing for better comparison of phage susceptibility of the twelve S. aureus strains used.

2.6. Efficiency of Plating (EOP)

To assess discrepancies between the spot test and OD assay, EOP was performed as previously described by Kropinski (2009) with some minor adjustments [60]. In short, bacterial strains were grown overnight on TSA II plates (BD, Franklin Lakes, NY, USA). A single bacterial colony was incubated in LB broth (Merck KGaA, Darmstadt, Germany) at 37 °C and grown until the exponential phase (OD600 = 0.5 ± 0.2). A ten- and hundred-times dilution of the phage cocktails or single phages were made in SM buffer. Next, 100 µL of either undiluted or diluted phages together with 200 µL of bacteria was added to 3 mL 0.35% LB agar (containing 1 M CaCl2 and 1 M MgSO4) and poured onto a 1.4% LB agar plate. Plates were incubated overnight at 37 °C and assessed for bacterial lysis.

2.7. Microcalorimetry (MC)

Microcalorimetry (MC) is used to determine the metabolic activity of bacteria which is depicted as heat flow (in µWatt) over time and can be used as a proxy for bacterial growth [61]. In contrary to the optical density assay, MC is not affected by aggregation of S. aureus in serum.

2.7.1. Serum Used for Microcalorimetry

All serum was acquired from Sanquin blood supply in Amsterdam, The Netherlands. Serum was collected at Sanquin according to the European directives 2002/98/EC, 2004/33/EC and 2005/61/EC, and the General Data Protection Regulation (GDPR). In addition, Sanquin adheres to the Dutch law on acquirement of blood and blood components (BWBR0017977).

2.7.2. Phage Cocktails

S. aureus isolates Mup15 and Mup2723 were grown overnight on TSA II plates. Colonies were suspended in phosphate-buffered saline (PBS) to an OD600 = 0.5 (~1 × 108 cfu/mL). Rifampicin (Sigma Aldrich, Saint Louis, MO, USA) and flucloxacillin (Erasmus MC pharmacy) were diluted in heat-inactivated (HI) human serum pooled from four donors (Sanquin, Amsterdam, The Netherlands) to 40 µg/mL and 128 µg/mL, respectively. Bacteria were diluted in HI human serum, with or without antibiotics, to a final concentration 1 × 107 cfu/mL. Either 10 µL undiluted phage cocktail (2.4 × 106 pfu/mL) or PBS (growth control) was added to the bacteria in CalWel sterile inserts (SymCel, Solna, Sweden), resulting in a final serum concentration of 82% per well. The inserts were placed in titanium cups (SymCel, Solna, Sweden) and placed in the CalScreener (SymCel, Solna, Sweden) at 37 °C. Heat flow was measured for twenty hours. Data were analyzed with CalView (SymCel, Solna, Sweden). Graphpad Prism 5 (GraphPad Software) was used to calculate the area under the curve (AUC) of heat flow over time. The percentage of the AUC relative to the growth control (set at 100%) was visualized, allowing better comparison of phage susceptibility of the panel of twelve S. aureus strains.

2.7.3. Single Phages

S. aureus isolates were grown overnight on TSA II plates and suspended in PBS to OD600 = 0.5 and further diluted to 3 × 107 cfu/mL. Tenfold dilutions of the single phages were made in SM buffer with 1 × 1010 pfu/mL as the highest concentration. Ninety microliters of TSB, or human serum pooled from fifty donors (Sanquin, Amsterdam, The Netherlands), was added to 10 µL of bacterial dilution and 10 µL of phage dilution in CalWel sterile inserts (SymCel, Solna, Sweden), resulting in a final serum or TSB concentration of 82% per well. Bacteria in TSB, or bacteria in serum with 10 µL SM buffer without phages, were used as positive bacterial growth controls. TSB or serum with 10 µL SM and 10 µL PBS were used as a negative control. Heat flow was measured and analyzed as described above.

3. Results

3.1. Genetic Characteristics of Selected Clinical S. aureus Strains and Phage Cocktails

To establish the genetic diversity of our panel of S. aureus strains, all strains were subjected to whole genome sequencing. Multiple clonal complexes (CCs) among the S. aureus isolates were observed based on their core SNP differences (Figure 1). The twelve strains used in this study were widely distributed among different CCs and comprise four of five major human pathogenic lineages circulating globally [62].
Next, the presence of known phage-resistance genes and phage-resistance systems in the S. aureus strains of our panel were identified (Table 2) [48,63]. For most of the methicillin-sensitive S. aureus (MSSA) strains, at least one phage resistance gene or system was identified, except for Mup3199 which did not contain any of the phage resistance genes examined. Similarly, only one MRSA strain, SaC042W, lacked phage resistance genes. In both laboratory strains, phage defense genes were present.
All three phage cocktails are able to target not only S. aureus but also multiple other bacterial species. To examine the content of the three phage cocktails, next generation sequencing was used. Firstly, a general overview of phage diversity in the cocktails was obtained using BLASTn. This confirmed the presence of multiple bacteriophage genera that infect various bacterial hosts, including S. aureus (Supplementary Materials Table S1). Then, to specifically examine the presence of S. aureus infecting phages, reference-based mapping was performed. This showed that 16%, 1% and 13% for the RPC, GPC and INT cocktail, respectively, mapped to phages infecting S. aureus. In addition, the majority of reads mapped to S. aureus infecting phages were most similar to phage K—the species type for the Kayvirus genus in the subfamily Twortvirinae of the family Herelleviridae (Figure 2).

3.2. Determination of Phage Susceptibility Using Conventional In Vitro Assays

The susceptibility of the clinical and laboratory S. aureus strains to the three phage cocktails used was first assessed using the spot test. This test showed similar efficacy for both the RPC and GPC on the same strains, lysing five and six out of ten clinical strains, respectively (Table 3), despite the low percentage of reads mapping to phages infecting Staphylococci in the GPC (Figure 2). No major differences in phage susceptibility were observed between MSSA and MRSA strains for any of the three commercially available cocktails. Of these, INT exhibited the narrowest host range, lysing only four out of ten strains, of which three were MSSA strains. All three cocktails were effective against laboratory strain R5, however: only RPC and GPC lysed RN4220 (Table 3).
Phage susceptibility was also determined in TSB using the OD assay (Figure 3). This assay allows for the use of planktonic bacteria and measures phage efficacy over time, providing insight into phage/bacteria dynamics important for monitoring phage resistance [9]. All ten clinical strains and the two laboratory strains were inoculated with different concentrations of phage cocktail and the OD was measured for 24 h. The area under the curve of the OD curves is shown as a percentage of the growth control, which was set at 100%. Overall, phage susceptibility varied between the five MSSA strains, with Mup15 and Mup2723 being most susceptible to all three cocktails (Figure 3A). In contrast, the OD of Mup2396 and Mup3199 only showed a decrease at the highest MOI despite the lack of known phage resistance genes present in the latter. Growth of the MRSA strains was only restricted at the highest MOI tested and MW2, Mu50 and Rww146 were completely insensitive to INT (Figure 3B). The laboratory strain R5 was very sensitive to the phage cocktails, even at an MOI of 0.003 (Supplementary Materials Figure S2), while RN4220 only showed a reduction in OD600 at the two highest MOIs (Figure 3C). However, the susceptibility to all three phage cocktails was similar per tested S. aureus strain.
Even though conventional assays showed lysis of most of the S. aureus strains in the panel, discrepancies between the two assays were also observed. For example, for multiple strains, including Mup3199, Mu50 and RN4220, lysis was observed in the OD assay but not in the spot test. It has been reported that the spot test could be less accurate than other (more labor-intensive) plate-based assays such as ‘efficiency of plating’ (EOP) [10,64]. Therefore, discrepancies observed between the spot test and OD assay were examined using EOP (Table 4). Even though EOP did match the results of the OD assay more often than the spot test, some discrepancies between both plate-based assays and OD assay still remained. Mu50, for example, was lysed by the RPC in the OD assay but not in the spot test or EOP (Table 4).

3.3. Susceptibility to Commercial Phage Cocktails in Human Serum Measured Using Microcalorimetry

More accurate results regarding phage susceptibility could potentially be achieved by resembling physiological conditions during bacterial infection, including phage susceptibility testing in the presence of human serum. However, the OD assay is not suitable to test phage susceptibility in this way, as serum components (such as fibrinogen and immune globulins) cause S. aureus to clump together in aggregates [65]. Microcalorimetry (MC) measures the metabolic activity of bacteria instead of optical density and is therefore not affected by S. aureus aggregation. However, S. aureus grows less efficiently in human serum compared to TSB, meaning that higher starting concentrations of S. aureus were required in order to measure sufficient metabolic activity of bacteria in human serum. With a higher starting concentration of bacteria, but not a higher concentration of the phage cocktails, the MOI was automatically reduced and therefore lower in the MC compare to the OD assay. For this protocol, we assessed the susceptibility of the two most phage-sensitive clinical S. aureus strains (Mup15 and Mup2723) to the phage cocktails in heat-inactivated human serum. As a control for bacterial cell death, the antibiotics rifampicin and flucloxacillin were used. While there was a clear effect of the antibiotics, the addition of the phage cocktails did not result in a decrease of metabolic activity at an MOI of 0.03 (Figure 4). Further, a higher MOI could not be tested as the phage cocktails were not concentrated due to the risk of losing or inactivating phages present in the original material [66]. Since the other clinical strains in the panel were not susceptible to the cocktails in TSB at MOI 0.03, they were not tested in human serum.

3.4. Susceptibility to Single Phages Using the Conventional In Vitro Assays

To test the effect of specific S. aureus phages, a total of eighteen phages were isolated from the RPC. The host range of these phages was determined using the spot test (data not shown). Two phages with a broad, but not identical, host range were selected: namely, RPCSa1 and RPCSa2 (Table 3). While S. aureus strain M116 was only lysed by the RPCSa1 phage, both phages lysed most other strains except for Mup2396, Mu50 and Rww146. Contrary to the RPC, from which these phages were isolated, both isolated phages were able to lyse Mup3199 and MW2.
Both phages RPCSa1 and RPCSa2 were subjected to next generation sequencing and comparison based on a maximum-likelihood tree of the tail sheath protein genes of reference strains of S. aureus infecting phages. Both phages were closest related to species type phage K representing the genus Kayvirus of subfamily Twortvirinae (Figure 5). In addition, a nucleotide identity matrix of their partial genomes showed 97.5% and 97.6% identity of RCPSa1 and RPCSa2 to phage K, respectively, and 99.8% identity to each other (data not shown).
The broad host range of the single phages was also shown using the OD assay (Figure 6). However, in contrast to the spot test, the OD assay showed lysis of all S. aureus strains by RPCSa1 and RPCSa2, including Mup2396, Mu50 and Rww146, but only at the highest MOI (Figure 6A,B).

3.5. Susceptibility to Single Phages in Human Serum Measured Using Microcalorimetry

Contrary to the phage cocktails, RPCSa1 and RPCSa2 could be purified and produced in high concentrations. They were therefore used to determine phage susceptibility of S. aureus in human serum at higher MOI than tested using the phage cocktails (Figure 7). Two phage-sensitive (Mup15 and SA2704), two moderately sensitive (MW2 and Mup3199) and two resistant strains (Mu50 and Rww146) of S. aureus were selected. High concentrations of RPCSa1 or RPCSa2 were added in 82% TSB (Figure 7A) or human serum (Figure 7B). While phage susceptibility in TSB was similar to that observed in the OD assay, susceptibility of all strains including the highly phage-sensitive strains was completely absent in human serum even at MOI 300 (Figure 7B). Bacterial growth in phage-treated conditions even exceeded the bacterial growth control in serum, especially at the highest concentrations of phages. Further investigation showed this was caused by the presence of TSB in the phage solutions, as adding nutrients together with the phages resulted in increased bacterial growth (Supplementary Materials Figure S3).

4. Discussion

For phage therapy to be successful, the susceptibility of the bacterial strain causing the infection will first need to be determined prior to the administration of phages. For this purpose, in vitro assays are currently used, which are less time consuming and less expensive compared to animal experiments. However, current in vitro results do not always correlate with in vivo data, with differences in phage susceptibility potentially being caused by differences in the microenvironment between in vivo and in vitro assays. Therefore, in this publication, three in vitro phage susceptibility assays were used to investigate the impact of experimental conditions on the susceptibility of clinical S. aureus isolates to phages. Our results showed a clear difference in phage susceptibility between the assays using bacterial culture media and an assay using 82% serum.
In both the OD assay and spot test, three commercial phage cocktails and the single phages used, there was a broad host range against clinical S. aureus strains, despite the genetic variation between the S. aureus isolates evaluated. This is in line with previous in vitro data showing a broad host range for these cocktails [67,68]. These results can be explained by the presence of Kayvirus phages in each cocktail and in the similarity of the single phages to phage K, the species type of this genus. Kayvirus phages are often used in phage cocktails because their genomes contain only a limited number of restriction sites, thereby limiting the recognition and destruction of their DNA by restriction enzymes of bacterial RM-systems [30,69,70]. In addition, these phages bind to WTA, the only known phage-receptor of S. aureus. However, while most phages bind to specific WTA glycan modifications (that can differ between bacterial strains and under different environmental conditions), Kayvirus phages bind to the backbone of WTA and are therefore not affected by these modifications [12,14,69,70,71].
Despite these phage characteristics, not all S. aureus strains were lysed in our experiments. Interestingly, the genomes of the S. aureus strains that showed low phage susceptibility were not genetically closely related to each other, as shown by the phylogenetic analysis. Therefore, no clear link between phage susceptibility and the genetic background of our S. aureus strains could be made. Moreover, the evaluation of known phage-resistance genes in the genome could not explain the differences of phage susceptibility of the isolates either. For example, although Mup3199 was resistant to the phage cocktails tested, no known phage-resistance genes were found. In contrast, R5 is very phage-sensitive despite the presence of multiple phage-resistant genes. This is consistent with the observation of Moller et al. that phage susceptibility relies on both host factors, most of which are still unknown, and phage-specific factors. The lack of a clear relation between the genetic background of isolates and their phage susceptibility highlights the importance of susceptibility testing prior to treatment with phages [48].
Comparison of the spot test and OD assay did not reveal identical phage susceptibility patterns for the S. aureus strains tested. For example, strain M116 was susceptible to GPC and RPC in the spot test but not in the OD assay. This supports previous observations that the spot test might give an overestimation of phage susceptibility [64]. Discrepancies between the two conventional assays were also seen for the single phages but only at the highest MOI, where three S. aureus strains that were not susceptible in the spot test showed a decrease in growth in the OD assay. However, this high MOI might not be realistic for in vivo use because bacteriophages do not accumulate well in all tissues and are cleared from the blood both passively by the spleen and liver and actively by the immune system [72]. Some of these discrepancies could be contributed to a lower accuracy of the spot test as compared to ‘efficiency of plating’ (EOP) [10,64]. However, while EOP did match the OD results for some strains where the spot test did not, differences between all conventional assay still remained for other strains. Next to discrepancies between these conventional assays, which could lead to under- or over-estimation of phage susceptibility, these assays lack resemblance with the in vivo microenvironment.
In contrast, MC allowed the determination of phage susceptibility in human serum, despite the presence of bacterial aggregation, showing a drastic decrease in phage susceptibility to both the phage cocktails and single phages when compared to TSB. However, it should be noted that due to the unknown content of the commercial phage cocktails used, we were not able to concentrate them without the risk of selecting for specific phages [66]. As a result, the cocktails were not tested at the same high MOI that was used for the single phages. Nevertheless, these results confirm previous observations by Shinde et al. (2022), who showed reduced phage infectivity under similar conditions. However, in the study of Shinde et al., bacterial aggregation was observed to be a limitation of the test [65]. The lack of phage susceptibility in serum could, in part, be due to a reduced growth rate of S. aureus in human serum, resulting in reduced phage propagation [73,74]. However, growth controls still exhibited significant signal, albeit lower than in TSB. Previous studies have shown direct binding of antibodies to phages, thereby directly preventing phage binding directly; moreover, competition between phages and antibodies directed to WTA could indirectly prevent phage binding [20,21,73,75,76].
In this study, we highlight the importance of experimental conditions on the phage susceptibility of S. aureus. The lack of phage susceptibility in human serum could explain the discrepancy between in vitro results obtained using conventional assays and in vivo data from clinical phage therapy trials. For example, the intravenous administration of AB-SA01 (a cocktail containing Kayvirus phages) resulted in a response rate of only 62%, despite the spot test indicating complete in vitro phage susceptibility of the infecting bacterial strain [77]. So even though it is a commonly used assay, the spot test might not be able to fully predict phage susceptibility in vivo. Although exhibiting a reduced response rate, these results do suggest a contribution of AB-SA1 in potentially helping to neutralize this infection, even during intravenous administration. Whether this result is actually due to lysis of the bacteria by phages, stimulation of the immune system or other processes needs to be further investigated.
Here, we propose the use of MC testing in combination with current conventional assays, for more accurate in vitro phage selection for phage therapy. This is due to the assay’s better resemblance to the microenvironment encountered by bacteria and phages in vivo. In the future, MC could be used to determine phage susceptibility in other media resembling in vivo environments. For example, it has already been shown to be a valuable tool for phage susceptibility determination in urine [61]. MC might even lead to a novel form of personalized therapy, in which both the infectious strain and the bodily fluids of a patient can be used for bacteriophage selection. Nevertheless, future studies which correlate MC data with data of clinical trials are needed to close the gap between in vitro phage selection and in vivo phage susceptibility. Together, this research might ultimately contribute to improvement of phage selection for phage therapy.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/v15010014/s1: Table S1: Overview of bacteriophage genera present in the three commercially available phage cocktails; Figure S1: Representative curves of the optical density (OD) over time; Figure S2: Area under the curve of the optical density of S. aureus isolates incubated with phage cocktails in TSB; Figure S3: Microcalorimetry in 82% serum in presence of tryptic soy broth (TSB).

Author Contributions

Conceptualization, M.M.M., M.V.T.P., L.G.M.B., A.V., M.P.G.K., M.d.G. and W.J.B.v.W.; methodology, M.M.M., M.V.T.P., C.M.E.S. and B.K.H.L.B.; data analysis, M.M.M., N.S., D.K.P., N.W. and D.F.N.; writing, original draft preparation, M.M.M.; writing, review and editing, M.M.M., M.V.T.P., L.G.M.B., A.V., M.P.G.K., M.d.G. and W.J.B.v.W.; supervision, L.G.M.B., A.V., M.P.G.K., M.d.G. and W.J.B.v.W.; funding acquisition, M.V.T.P., L.G.M.B., A.V., M.P.G.K. and W.J.B.v.W. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by internal funding from the Netherlands Centre for One Health (NCOH). M.V.T.P was supported by a Marie Sklodowska-Curie Individual Fellowship (H2020-EU.1.3.2.; grant agreement number 799417).

Data Availability Statement

The nucleotide sequences generated in this study have been deposited in NCBI with accession numbers OP352909 and OP352910 (tail sheath proteins). Accession numbers for whole genome sequences of the sequenced S. aureus isolates are provided in Table 1.

Acknowledgments

We acknowledge and thank Derek Pickard and Gordon Dougan (University of Cambridge, Cambridge, UK) for their advice, support and provision of essential consumables when we first set up the bacteriophage assay work at the Department of Viroscience (Erasmus MC, The Netherlands).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lee, A.S.; De Lencastre, H.; Garau, J.; Kluytmans, J.; Malhotra-Kumar, S.; Peschel, A.; Harbarth, S. Methicillin-resistant Staphylococcus aureus. Nat. Rev. Dis. Prim. 2018, 4, 18033. [Google Scholar] [CrossRef] [Green Version]
  2. Lindsay, J.A.; Holden, M.T.G. Staphylococcus aureus: Superbug, super genome? Trends Microbiol. 2004, 12, 378–385. [Google Scholar] [CrossRef] [PubMed]
  3. Hassoun, A.; Linden, P.K.; Friedman, B. Incidence, prevalence, and management of MRSA bacteremia across patient populations—A review of recent developments in MRSA management and treatment. Crit. Care 2017, 21, 211. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Cassini, A.; Högberg, L.D.; Plachouras, D.; Quattrocchi, A.; Hoxha, A.; Simonsen, G.S.; Colomb-Cotinat, M.; Kretzschmar, M.E.; Devleesschauwer, B.; Cecchini, M.; et al. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European economic area in 2015: A population-level modelling analysis. Lancet Infect. Dis. 2019, 19, 56–66. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Delattre, R.; Seurat, J.; Haddad, F.; Nguyen, T.-T.; Gaborieau, B.; Kane, R.; Dufour, N.; Ricard, J.-D.; Guedj, J.; Debarbieux, L. Title combination of in vivo phage therapy data with in silico model highlights key parameters for treatment efficacy. Cell Rep. 2022, 39, 110825. [Google Scholar] [CrossRef]
  6. El Haddad, L.; Harb, C.P.; Gebara, M.A.; Stibich, M.A.; Chemaly, R.F. A systematic and critical review of bacteriophage therapy against multidrug-resistant ESKAPE organisms in humans. Clin. Infect. Dis. 2019, 69, 167–178. [Google Scholar] [CrossRef]
  7. Jamal, M.; Bukhari, S.M.A.U.S.; Andleeb, S.; Ali, M.; Raza, S.; Nawaz, M.A.; Hussain, T.; Rahman, S.u.; Shah, S.S.A. Bacteriophages: An overview of the control strategies against multiple bacterial infections in different fields. J. Basic Microbiol. 2019, 59, 123–133. [Google Scholar] [CrossRef]
  8. Fauconnier, A. Phage therapy regulation: From night to dawn. Viruses 2019, 11, 352. [Google Scholar] [CrossRef] [Green Version]
  9. Suh, G.A.; Lodise, T.P.; Tamma, P.D.; Knisely, J.M.; Alexander, J.; Aslam, S.; Barton, K.D.; Bizzell, E.; Totten, K.M.C.; Campbell, J.L.; et al. Considerations for the use of phage therapy in clinical practice. Antimicrob. Agents Chemother. 2022, 66, e02071-21. [Google Scholar] [CrossRef]
  10. Glonti, T.; Pirnay, J.P. In vitro techniques and measurements of phage characteristics that are important for phage therapy success. Viruses 2022, 14, 1490. [Google Scholar] [CrossRef]
  11. Cheung, A.L.; Bayer, A.S.; Zhang, G.; Gresham, H.; Xiong, Y.Q. Regulation of virulence determinants in vitro and in vivo in Staphylococcus aureus. FEMS Immunol. Med. Microbiol. 2004, 40, 1–9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Li, X.; Gerlach, D.; Du, X.; Larsen, J.; Stegger, M.; Kuhner, P.; Peschel, A.; Xia, G.; Winstel, V. An accessory wall teichoic acid glycosyltransferase protects Staphylococcus aureus from the lytic activity of podoviridae. Sci. Rep. 2015, 5, 17219. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Weidenmaier, C.; Peschel, A. Teichoic acids and related cell-wall glycopolymers in gram-positive physiology and host interactions. Nat. Rev. Microbiol. 2008, 6, 276–287. [Google Scholar] [CrossRef] [PubMed]
  14. Brown, S.; Xia, G.; Luhachack, L.G.; Campbell, J.; Meredith, T.C.; Chen, C.; Winstel, V.; Gekeler, C.; Irazoqui, J.E.; Peschel, A.; et al. Methicillin resistance in Staphylococcus aureus requires glycosylated wall teichoic acids. Proc. Natl. Acad. Sci. USA 2012, 109, 18909–18914. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Mistretta, N.; Brossaud, M.; Telles, F.; Sanchez, V.; Talaga, P.; Rokbi, B. Glycosylation of Staphylococcus aureus cell wall teichoic acid is influenced by environmental conditions. Sci. Rep. 2019, 9, 3212. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Plumet, L.; Ahmad-Mansour, N.; Dunyach-Remy, C.; Kissa, K.; Sotto, A.; Lavigne, J.P.; Costechareyre, D.; Molle, V. Bacteriophage therapy for Staphylococcus aureus Infections: A review of animal models, treatments, and clinical trials. Front. Cell. Infect. Microbiol. 2022, 12, 808. [Google Scholar] [CrossRef]
  17. Kim, H.K.; Missiakas, D.; Schneewind, O. Mouse models for infectious diseases caused by Staphylococcus aureus. J. Immunol. Methods 2014, 410, 88–99. [Google Scholar] [CrossRef]
  18. Mrochen, D.M.; Fernandes de Oliveira, L.M.; Raafat, D.; Holtfreter, S. Staphylococcus aureus host tropism and its implications for murine infection models. Int. J. Mol. Sci. 2020, 21, 7061. [Google Scholar] [CrossRef]
  19. Doke, S.K.; Dhawale, S.C. Alternatives to animal testing: A review. Saudi Pharm. J. 2015, 23, 223–229. [Google Scholar] [CrossRef] [Green Version]
  20. Kobayashi, S.D.; DeLeo, F.R. Staphylococcus aureus protein A promotes immune suppression. MBio 2013, 4, e00764-13. [Google Scholar] [CrossRef]
  21. Falugi, F.; Kim, H.K.; Missiakas, D.M.; Schneewind, O. Role of protein A in the evasion of host adaptive immune responses by Staphylococcus aureus. MBio 2013, 4, e00575-13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Sultan, A.R.; Tavakol, M.; Lemmens-Den Toom, N.A.; Croughs, P.D.; Verkaik, N.J.; Verbon, A.; van Wamel, W.J.B. Real time monitoring of Staphylococcus aureus biofilm sensitivity towards antibiotics with isothermal microcalorimetry. PLoS ONE 2022, 17, e0260272. [Google Scholar] [CrossRef] [PubMed]
  23. Maskow, T.; Kiesel, B.; Schubert, T.; Yong, Z.; Harms, H.; Yao, J. Calorimetric real time monitoring of lambda prophage induction. J. Virol. Methods 2010, 168, 126–132. [Google Scholar] [CrossRef] [PubMed]
  24. Tkhilaishvili, T.; Di Luca, M.; Abbandonato, G.; Maiolo, E.M.; Klatt, A.B.; Reuter, M.; Möncke-Buchner, E.; Trampuz, A. Real-time assessment of bacteriophage T3-derived antimicrobial activity against planktonic and biofilm-embedded Escherichia coli by isothermal microcalorimetry. Res. Microbiol. 2018, 169, 515–521. [Google Scholar] [CrossRef] [PubMed]
  25. Tkhilaishvili, T.; Wang, L.; Tavanti, A.; Trampuz, A.; Di Luca, M. Antibacterial efficacy of two commercially available bacteriophage formulations, staphylococcal bacteriophage and PYO bacteriophage, against methicillin-resistant Staphylococcus aureus: Prevention and eradication of biofilm formation and control of a systemic infection of galleria Mellonella Larvae. Front. Microbiol. 2020, 11, 110. [Google Scholar] [CrossRef] [Green Version]
  26. Diep, B.A.; Gill, S.R.; Chang, R.F.; Van Phan, T.H.; Chen, J.H.; Davidson, M.G.; Lin, F.; Lin, J.; Carleton, H.A.; Mongodin, E.F.; et al. Complete genome sequence of USA300, an epidemic clone of community-acquired meticillin-resistant Staphylococcus aureus. Lancet 2006, 367, 731–739. [Google Scholar] [CrossRef]
  27. King, J.M.; Kulhankova, K.; Stach, C.S.; Vu, B.G.; Salgado-pabón, W. Phenotypes and virulence among Staphylococcus aureus USA100, USA200, USA300, USA400, and USA600 clonal lineages. Msphere 2016, 1, e00071-16. [Google Scholar] [CrossRef] [Green Version]
  28. Nair, D.; Memmi, G.; Hernandez, D.; Bard, J.; Beaume, M.; Gill, S.; Francois, P.; Cheung, A.L. Whole-genome sequencing of Staphylococcus aureus strain RN4220, a key laboratory strain used in virulence research, identifies mutations that affect not only virulence factors but also the fitness of the strain. J. Bacteriol. 2011, 193, 2332–2335. [Google Scholar] [CrossRef] [Green Version]
  29. Van Wamel, W.J.B.; Rooijakkers, S.H.M.; Ruyken, M.; Van Kessel, K.P.M.; Van Strijp, J.A.G. The innate immune modulators staphylococcal complement inhibitor and chemotaxis inhibitory protein of Staphylococcus aureus are located on β-hemolysin-converting bacteriophages. J. Bacteriol. 2006, 188, 1310–1315. [Google Scholar] [CrossRef] [Green Version]
  30. Villarroel, J.; Larsen, M.V.; Kilstrup, M.; Nielsen, M. Metagenomic analysis of therapeutic PYO phage cocktails from 1997 to 2014. Viruses 2017, 9, 328. [Google Scholar] [CrossRef]
  31. Leitner, L.; Ujmajuridze, A.; Chanishvili, N.; Goderdzishvili, M.; Chkonia, I.; Rigvava, S.; Chkhotua, A.; Changashvili, G.; McCallin, S.; Schneider, M.P.; et al. Intravesical bacteriophages for treating urinary tract infections in patients undergoing transurethral resection of the prostate: A randomised, placebo-controlled, double-blind clinical trial. Lancet Infect. Dis. 2021, 21, 427–436. [Google Scholar] [CrossRef] [PubMed]
  32. Leitner, L.; Sybesma, W.; Chanishvili, N.; Goderdzishvili, M.; Chkhotua, A.; Ujmajuridze, A.; Schneider, M.P.; Sartori, A.; Mehnert, U.; Bachmann, L.M.; et al. Bacteriophages for treating urinary tract infections in patients undergoing transurethral resection of the prostate: A randomized, placebo-controlled, double-blind clinical trial. BMC Urol. 2017, 17, 90. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Erol, H.B.; Kaskatepe, B.; Ozturk, S.; Safi Oz, Z. The comparison of lytic activity of isolated phage and commercial intesti bacteriophage on ESBL producer E. coli and determination of Ec_P6 phage efficacy with in vivo galleria Mellonella Larvae model. Microb. Pathog. 2022, 167, 105563. [Google Scholar] [CrossRef]
  34. Van Trijp, M.J.C.A.; Melles, D.C.; Snijders, S.V.; Wertheim, H.F.L.; Verbrugh, H.A.; van Belkum, A.; van Wamel, W.J. Genotypes, superantigen gene profiles, and presence of exfoliative toxin genes in clinical methicillin-susceptible Staphylococcus aureus isolates. Diagn. Microbiol. Infect. Dis. 2010, 66, 222–224. [Google Scholar] [CrossRef] [PubMed]
  35. Wertheim, H.F.L.; Vos, M.C.; Ott, A.; Van Belkum, A.; Voss, A.; Kluytmans, J.A.J.W.; Van Keulen, P.H.J.; Vandenbroucke-Grauls, C.M.J.E.; Meester, M.H.M.; Verbrugh, H.A. Risk and outcome of nosocomial Staphylococcus aureus bacteraemia in nasal carriers versus non-carriers. Lancet 2004, 364, 703–705. [Google Scholar] [CrossRef]
  36. Wertheim, H.F.L.; van Leeuwen, W.B.; Snijders, S.; Vos, M.C.; Voss, A.; Vandenbroucke-Grauls, C.M.J.E.; Kluytmans, J.A.J.W.; Verbrugh, H.A.; van Belkum, A. Associations between Staphylococcus aureus genotype, infection, and in-hospital mortality: A nested case-control study. J. Infect. Dis. 2005, 192, 1196–1200. [Google Scholar] [CrossRef] [Green Version]
  37. Baba, T.; Takeuchi, F.; Kuroda, M.; Yuzawa, H.; Aoki, K.I.; Oguchi, A.; Nagai, Y.; Iwama, N.; Asano, K.; Naimi, T.; et al. Genome and virulence determinants of high virulence community-acquired MRSA. Lancet 2002, 359, 1819–1827. [Google Scholar] [CrossRef]
  38. Kuroda, M.; Ohta, T.; Uchiyama, I.; Baba, T.; Yuzawa, H.; Kobayashi, I.; Kobayashi, N.; Cui, L.; Oguchi, A.; Aoki, K.I.; et al. Whole genome sequencing of meticillin-resistant Staphylococcus aureus. Lancet 2001, 357, 1225–1240. [Google Scholar] [CrossRef]
  39. Den Reijer, P.M.; Haisma, E.M.; Lemmens-Den Toom, N.A.; Willemse, J.; Koning, R.A.; Demmers, J.A.A.; Dekkers, D.H.W.; Rijkers, E.; El Ghalbzouri, A.; Nibbering, P.H.; et al. Detection of alpha-toxin and other virulence factors in biofilms of Staphylococcus aureus on polystyrene and a human epidermalmodel. PLoS ONE 2016, 11, e0145722. [Google Scholar] [CrossRef]
  40. Faden, H.; Lesse, A.J.; Trask, J.; Hill, J.A.; Hess, D.J.; Dryja, D.; Lee, Y.H. Importance of colonization site in the current epidemic of staphylococcal skin abscesses. Pediatrics 2010, 125, e618–e624. [Google Scholar] [CrossRef]
  41. Sultan, A.R.; Swierstra, J.W.; Lemmens-den Toom, N.A.; Snijders, S.V.; Maňásková, S.H.; Verbon, A.; van Wamel, W.J.B. Production of staphylococcal complement inhibitor (SCIN) and other immune modulators during the early stages of Staphylococcus aureus biofilm formation in a mammalian cell culture medium. Infect. Immun. 2018, 86, e00352-18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Slingerland, B.C.G.C.; Tavakol, M.; McCarthy, A.J.; Lindsay, J.A.; Snijders, S.V.; Wagenaar, J.A.; van Belkum, A.; Vos, M.C.; Verbrugh, H.A.; van Wamel, W.J.B. Survival of Staphylococcus aureus ST398 in the human nose after artificial inoculation. PLoS ONE 2012, 7, e48896. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. McCarthy, A.J.; van Wamel, W.; Vandendriessche, S.; Larsen, J.; Denis, O.; Garcia-Graells, C.; Uhlemann, A.C.; Lowy, F.D.; Skov, R.; Lindsay, J.A. Staphylococcus aureus CC398 clade associated with human-to-human transmission. Appl. Environ. Microbiol. 2012, 78, 8845–8848. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Luong, T.; Salabarria, A.C.; Edwards, R.A.; Roach, D.R. Standardized bacteriophage purification for personalized phage therapy. Nat. Protoc. 2020, 15, 2867–2890. [Google Scholar] [CrossRef]
  45. Wick, R.R.; Judd, L.M.; Gorrie, C.L.; Holt, K.E. Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput. Biol. 2017, 13, e1005595. [Google Scholar] [CrossRef] [Green Version]
  46. Gardner, S.N.; Slezak, T.; Hall, B.G. KSNP3.0: SNP Detection and phylogenetic analysis of genomes without genome alignment or reference genome. Bioinformatics 2015, 31, 2877–2878. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Letunic, I.; Bork, P. Interactive tree of life (ITOL) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021, 49, W293–W296. [Google Scholar] [CrossRef]
  48. Moller, A.G.; Winston, K.; Ji, S.; Wang, J.; Hargita Davis, M.N.; Solís-Lemus, C.R.; Read, T.D. Genes influencing phage host range in Staphylococcus aureus on a species-wide scale. mSphere 2021, 6, e01263-20. [Google Scholar] [CrossRef]
  49. Cheng, R.; Huang, F.; Wu, H.; Lu, X.; Yan, Y.; Yu, B.; Wang, X.; Zhu, B. A nucleotide-sensing endonuclease from the Gabija bacterial defense system. Nucleic Acids Res. 2021, 49, 5216–5229. [Google Scholar] [CrossRef]
  50. Ka, D.; Oh, H.; Park, E.; Kim, J.H.; Bae, E. Structural and functional evidence of bacterial antiphage protection by thoeris defense system via NAD+ degradation. Nat. Commun. 2020, 11, 2816. [Google Scholar] [CrossRef]
  51. Payne, L.J.; Todeschini, T.C.; Wu, Y.; Perry, B.J.; Ronson, C.W.; Fineran, P.C.; Nobrega, F.L.; Jackson, S.A. Identification and classification of antiviral defence systems in bacteria and archaea with PADLOC reveals new system types. Nucleic Acids Res. 2021, 49, 10868–10878. [Google Scholar] [CrossRef] [PubMed]
  52. Atha, D.H.; Ingham, K.C. Mechanism of precipitation of proteins by polyethylene glycols. Analysis in terms of excluded volume. J. Biol. Chem. 1981, 256, 12108–12117. [Google Scholar] [CrossRef] [PubMed]
  53. Li, W.; Fu, L.; Niu, B.; Wu, S.; Wooley, J. Ultrafast clustering algorithms for metagenomic sequence analysis. Brief. Bioinform. 2012, 13, 656–668. [Google Scholar] [CrossRef] [PubMed]
  54. Chen, S.; Zhou, Y.; Chen, Y.; Gu, J. Fastp: An ultra-fast all-in-One FASTQ preprocessor. Bioinformatics 2018, 34, i884–i890. [Google Scholar] [CrossRef] [PubMed]
  55. Koren, S.; Walenz, B.P.; Berlin, K.; Miller, J.R.; Bergman, N.H.; Phillippy, A.M. Canu: Scalable and accurate long-read assembly via adaptive κ-mer weighting and repeat separation. Genome Res. 2017, 27, 722–736. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Minh, B.Q.; Schmidt, H.A.; Chernomor, O.; Schrempf, D.; Woodhams, M.D.; Von Haeseler, A.; Lanfear, R.; Teeling, E. IQ-TREE 2: New models and efficient methods for phylogenetic inference in the genomic era. Mol. Biol. Evol. 2020, 37, 1530–1534. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. IQ Tree. Available online: http://www.iqtree.org/ (accessed on 1 June 2022).
  58. André Rambaut FigTree—v1.4.4. Available online: http://tree.bio.ed.ac.uk/software/figtree/ (accessed on 4 July 2022).
  59. Hall, T. BioEdit: A user friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp. Ser. 1999, 41, 95–98. [Google Scholar]
  60. Clokie, M.R.J.; Kropinski, A.M. Bacteriophages; Methods and Protocols, Volume 1: Isolation, Characterization, and Interactions; Human Press: Totowa, NJ, USA, 2009. [Google Scholar]
  61. Sigg, A.P.; Mariotti, M.; Grütter, A.E.; Lafranca, T.; Leitner, L.; Bonkat, G.; Braissant, O. A method to determine the efficacy of a commercial phage preparation against uropathogens in urine and artificial urine determined by isothermal microcalorimetry. Microorganisms 2022, 10, 845. [Google Scholar] [CrossRef]
  62. Dabul, A.N.G.; Camargo, I.L.B.C. Clonal complexes of Staphylococcus aureus: All mixed and together. FEMS Microbiol. Lett. 2014, 351, 7–8. [Google Scholar] [CrossRef] [Green Version]
  63. Egido, J.E.; Costa, A.R.; Aparicio-Maldonado, C.; Haas, P.-J.; Brouns, S.J.J. Mechanisms and clinical importance of bacteriophage resistance. FEMS Microbiol. Rev. 2021, 46, fuab048. [Google Scholar] [CrossRef]
  64. Mirzaei, M.K.; Nilsson, A.S. Isolation of phages for phage therapy: A comparison of spot tests and efficiency of plating analyses for determination of host range and efficacy. PLoS ONE 2015, 10, e0118557. [Google Scholar] [CrossRef]
  65. Shinde, P.; Stamatos, N.; Doub, J.B. Human plasma significantly reduces bacteriophage infectivity against Staphylococcus aureus clinical isolates. Cureus 2022, 14, e23777. [Google Scholar] [CrossRef] [PubMed]
  66. Carroll-Portillo, A.; Coffman, C.N.; Varga, M.G.; Alcock, J.; Singh, S.B.; Lin, H.C. Standard bacteriophage purification procedures cause loss in numbers and activity. Viruses 2021, 13, 328. [Google Scholar] [CrossRef] [PubMed]
  67. Erol, H.B.; Kaskatepe, B.; Bakkaloglu, Z.; Suzuk Yildiz, S. The evaluation of five commercial bacteriophage cocktails against methicillin-resistant Staphylococcus aureus isolated from Nasal Swab samples. Arch. Microbiol. 2021, 203, 5735–5743. [Google Scholar] [CrossRef]
  68. Neguţ, A.C.; Chifiriuc, M.C.; Săndulescu, O.; Streinu-Cercel, A.; Oprea, M.; Drăgulescu, E.C.; Gheorghe, I.; Berciu, I.; Coralia, B.; Popa, M.; et al. Bacteriophage-driven inhibition of biofilm formation in Staphylococcus strains from patients attending a Romanian reference center for infectious diseases. FEMS Microbiol. Lett. 2016, 363, fnw193. [Google Scholar] [CrossRef] [Green Version]
  69. O’Flaherty, S.; Coffey, A.; Edwards, R.; Meaney, W.; Fitzgerald, G.F.; Ross, R.P. Genome of staphylococcal phage K: A new lineage of Myoviridae infecting gram-positive bacteria with a low G+C content. J. Bacteriol. 2004, 186, 2862–2871. [Google Scholar] [CrossRef] [Green Version]
  70. Azam, A.H.; Tanji, Y. Peculiarities of Staphylococcus aureus phages and their possible application in phage therapy. Appl. Microbiol. Biotechnol. 2019, 103, 4279–4289. [Google Scholar] [CrossRef] [PubMed]
  71. Moller, A.G.; Lindsay, J.A.; Read, T.D.; Johnson, K.N. Determinants of phage host range in Staphylococcus species. Appl. Environ. Microbiol. 2019, 85, 209–228. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Dąbrowska, K.; Abedon, S.T. Pharmacologically aware phage therapy: Pharmacodynamic and pharmacokinetic obstacles to phage antibacterial action in animal and human bodies. Microbiol. Mol. Biol. Rev. 2019, 83, e00012-19. [Google Scholar] [CrossRef] [PubMed]
  73. Brown, M.; Hall, A.; Zahn, H.; Eisenberg, M.; Erickson, S. Bacteriophage-based detection of Staphylococcus aureus in human serum. Viruses 2022, 14, 1748. [Google Scholar] [CrossRef] [PubMed]
  74. Biswas, B. Propagation of S. aureus phage K in presence of human blood. Biomed. J. Sci. Tech. Res. 2019, 18, 11–13. [Google Scholar] [CrossRef]
  75. Łusiak-Szelachowska, M.; Zaczek, M.; Weber-Dabrowska, B.; Międzybrodzki, R.; Kłak, M.; Fortuna, W.; Letkiewicz, S.; Rogóz, P.; Szufnarowski, K.; Jończyk-Matysiak, E.; et al. Phage neutralization by sera of patients receiving phage therapy. Viral Immunol. 2014, 27, 295–304. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Hodyra-Stefaniak, K.; Kaźmierczak, Z.; Majewska, J.; Sillankorva, S.; Miernikiewicz, P.; Międzybrodzki, R.; Górski, A.; Azeredo, J.; Lavigne, R.; Lecion, D.; et al. Natural and induced antibodies against phages in humans: Induction kinetics and immunogenicity for structural proteins of PB1-related phages. Phage 2020, 1, 91–99. [Google Scholar] [CrossRef] [PubMed]
  77. Fabijan, A.P.; Lin, R.C.Y.; Ho, J.; Maddocks, S.; Iredell, J.R. Safety and tolerability of bacteriophage therapy in severe Staphylococcus aureus infection. bioRxiv 2019. bioRxiv: 619999. [Google Scholar] [CrossRef]
Figure 1. Circular visualization of the genomes of S. aureus strains in our panel compared to 205 S. aureus strains representing global genetic diversity. The maximum-likelihood tree in the figure describes the core SNP differences. From the inner to the outer circle, the first circle represents public genomes of S. aureus including the genomes from this study marked in blue and larger font, the second and third circles represents sequence type (ST) characterization visualized by color and text and the fourth circle represents CC information. Genomes without an ST and CC identification were symbolized with NA (Non-Available).
Figure 1. Circular visualization of the genomes of S. aureus strains in our panel compared to 205 S. aureus strains representing global genetic diversity. The maximum-likelihood tree in the figure describes the core SNP differences. From the inner to the outer circle, the first circle represents public genomes of S. aureus including the genomes from this study marked in blue and larger font, the second and third circles represents sequence type (ST) characterization visualized by color and text and the fourth circle represents CC information. Genomes without an ST and CC identification were symbolized with NA (Non-Available).
Viruses 15 00014 g001
Figure 2. Presence of phages in three commercially available phage cocktails. Y-axis: Percentage of viral sequencing reads for the Russian- and Georgian-Pyofag cocktail (RPC and GPC, respectively) and the Intestifag cocktail (INT) mapped against the genome sequences of species types representing five genera that mostly comprise virulent phages against S. aureus.
Figure 2. Presence of phages in three commercially available phage cocktails. Y-axis: Percentage of viral sequencing reads for the Russian- and Georgian-Pyofag cocktail (RPC and GPC, respectively) and the Intestifag cocktail (INT) mapped against the genome sequences of species types representing five genera that mostly comprise virulent phages against S. aureus.
Viruses 15 00014 g002
Figure 3. Susceptibility of S. aureus isolates to phage cocktails as determined by OD assay in TSB. The OD of five MSSA strains, five MRSA strains and two laboratory strains (LS) inoculated with the (A) RPC, (B) GPC and (C) INT at different multiplicity of infection (MOI) was measured for 24 h. The OD over time (24 h) is depicted as percentage of area under the curve (AUC) compared to the growth control, which was set at 100%. All conditions were repeated in three independent experiments.
Figure 3. Susceptibility of S. aureus isolates to phage cocktails as determined by OD assay in TSB. The OD of five MSSA strains, five MRSA strains and two laboratory strains (LS) inoculated with the (A) RPC, (B) GPC and (C) INT at different multiplicity of infection (MOI) was measured for 24 h. The OD over time (24 h) is depicted as percentage of area under the curve (AUC) compared to the growth control, which was set at 100%. All conditions were repeated in three independent experiments.
Viruses 15 00014 g003
Figure 4. Metabolic activity of two phage sensitive strains in heat-inactivated human serum. Two phage-sensitive clinical S. aureus strains, Mup15 and Mup2723, were inoculated with phage cocktails RPC, GPC or INT an MOI 0.03 or with rifampicin (RIF; 40 µg/mL) or flucloxacillin (FLX; 128 µg/mL). As a positive control for bacterial growth, a control with PBS instead of phages or antibiotics was used. The heat flow was measured for 20 h and is shown as a percentage of the area under the curve (AUC) when compared to the positive growth control, which was set at 100%. All conditions were tested in three independent experiments.
Figure 4. Metabolic activity of two phage sensitive strains in heat-inactivated human serum. Two phage-sensitive clinical S. aureus strains, Mup15 and Mup2723, were inoculated with phage cocktails RPC, GPC or INT an MOI 0.03 or with rifampicin (RIF; 40 µg/mL) or flucloxacillin (FLX; 128 µg/mL). As a positive control for bacterial growth, a control with PBS instead of phages or antibiotics was used. The heat flow was measured for 20 h and is shown as a percentage of the area under the curve (AUC) when compared to the positive growth control, which was set at 100%. All conditions were tested in three independent experiments.
Viruses 15 00014 g004
Figure 5. Phylogenetic tree of single phages and reference strains. A maximum-likelihood phylogenetic tree was inferred for the RPCSa1 and RPCSa2 and reference strains representing the diversity of staphylococci phages using the tail sheath protein gene. The tree was mid-point rooted and bootstrap values are shown at the nodes. Scale bars show the number of nucleotide substitutions per site.
Figure 5. Phylogenetic tree of single phages and reference strains. A maximum-likelihood phylogenetic tree was inferred for the RPCSa1 and RPCSa2 and reference strains representing the diversity of staphylococci phages using the tail sheath protein gene. The tree was mid-point rooted and bootstrap values are shown at the nodes. Scale bars show the number of nucleotide substitutions per site.
Viruses 15 00014 g005
Figure 6. Susceptibility of S. aureus isolates to isolated single phages as determined by OD assay in TSB. The OD was measured for five MSSA strains, five MRSA strains and two laboratory strains (LS) inoculated with (A) RPCSa1 and (B) RPCSa2 at different MOIs. The OD over time (20 h) is shown as percentage of the area under the curve (AUC) compared to the growth control, which was set at 100%. # For clarity, values above 200% are not shown. All conditions were tested in three independent experiments.
Figure 6. Susceptibility of S. aureus isolates to isolated single phages as determined by OD assay in TSB. The OD was measured for five MSSA strains, five MRSA strains and two laboratory strains (LS) inoculated with (A) RPCSa1 and (B) RPCSa2 at different MOIs. The OD over time (20 h) is shown as percentage of the area under the curve (AUC) compared to the growth control, which was set at 100%. # For clarity, values above 200% are not shown. All conditions were tested in three independent experiments.
Viruses 15 00014 g006
Figure 7. Phage susceptibility in TSB compared to 82% human serum. Microcalorimetry was used to measure bacterial heat production after incubation of isolated single phages with two highly sensitive strains (Mup15 and SA2704), two moderate sensitive strains (MW2 and Mup3199) and two non-sensitive strains (Mu50 and Rww146) of S. aureus. Heat flow was measured for twenty hours in either (A) TSB or (B) 82% human serum and is shown as a percentage of the area under the curve of the growth control (no phages added). # For clarity, values above 200% are not shown. All conditions were tested in three independent experiments.
Figure 7. Phage susceptibility in TSB compared to 82% human serum. Microcalorimetry was used to measure bacterial heat production after incubation of isolated single phages with two highly sensitive strains (Mup15 and SA2704), two moderate sensitive strains (MW2 and Mup3199) and two non-sensitive strains (Mu50 and Rww146) of S. aureus. Heat flow was measured for twenty hours in either (A) TSB or (B) 82% human serum and is shown as a percentage of the area under the curve of the growth control (no phages added). # For clarity, values above 200% are not shown. All conditions were tested in three independent experiments.
Viruses 15 00014 g007
Table 2. Overview of the presence of phage resistance genes in the S. aureus strains.
Table 2. Overview of the presence of phage resistance genes in the S. aureus strains.
MSSA StrainsMRSA StrainsLab Strains
Genes *Mup15Mup3199Mup2723Mup2396SA2704MW2Mu50SaC042WM116Rww146RN4220R5
isdB + # ++ +++Moller et al. (2021) [48]
mrpF + ++ +++
relA + ++ +++
tarP +
phoR + ++ +++
tarS + ++ +++
tarM + +++ ++
fmtC + ++ +++
tagH + ++ +++
trpA + ++ +++
tarJ + ++ +++
sodM2 + ++ +++
hsdR ++++ ++++
hsdM+ ++ ++ +++
sau3AIR+
gajA + PADLOC [51]
gajB +
drt4
thsB +
thsA +
lmuA +
lmuB +
avs2 + +
* Genes described by Moller et al. (2021) [48] examined using BLASTn and phage defense systems found by the online tool PADLOC [51]. Genes included are involved in WTA biosynthesis (tarJ, tagH), modification (tarP, tarS, tarM) and degradation (phoR); restriction-methylation (hsdR, hsdM and sau3AIR); abortive infection (thsA and thsB); cell surface stress tolerance (sodM), surface charge (fmtC, mrpF) and surface occlusion (isdB); bacterial metabolism (relA, trpA); phage resistance mechanisms that are not yet fully understood (gajA, gajB, lmuA, lmuB, drt4 and avs2) [13,48,63] # Genes that are present genes are indicated with a ‘+’.
Table 3. Susceptibility of ten clinical and two laboratory S. aureus strains to three phage cocktails and two single phages as determined by the spot test.
Table 3. Susceptibility of ten clinical and two laboratory S. aureus strains to three phage cocktails and two single phages as determined by the spot test.
RPCGPCINTRPCSa2RPCSa1
MSSA
strains
Mup15++ #++++++++++++
Mup3199 ++++++
Mup2723++++++++++++++
Mup2396
SA2704+++++++++
MRSA
strains
MW2 ++++++++
Mu50
SaC042W++++ ++++++
M116+++ +++
Rww146
Lab
strains
RN4220++++ +++++++
R5++++++++++
# Lysis of bacterial strains is indicated with a ‘+’ for individual plaques found at a phage dilution of 10−1 to 10−2, ‘++’ for plaques found at a dilution of 10−3 to 10−4, ‘+++’ for plaques found at dilution 10−6 to 10−7 and ‘++++’ for plaques found at a dilution of 10−8. Empty cells indicate no observed lysis.
Table 4. Discrepancies between the spot test (ST) and OD assay were assessed using ‘efficiency of plating’ (EOP).
Table 4. Discrepancies between the spot test (ST) and OD assay were assessed using ‘efficiency of plating’ (EOP).
RPCGPCINTRPCSa2RPCSa1
STODEOPSTODEOPSTODEOPSTODEOPSTODEOP
Mup3199 -#++-++-++
Mup2396 -+- -++-++
MW2 -++ +-+
Mu50 -+--+- -++-++
SaC042W+-+ -++
M116 +-++-+ -++
Rww146 -+- -+--+-
RN4220 -++
# Lysis of bacterial strains are indicated with a ‘+’ and no observed lysis is indicated with ‘-‘. When no discrepancies between the spot test and OD assay were observed, EOP was not performed (empty cells).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Molendijk, M.M.; Phan, M.V.T.; Bode, L.G.M.; Strepis, N.; Prasad, D.K.; Worp, N.; Nieuwenhuijse, D.F.; Schapendonk, C.M.E.; Boekema, B.K.H.L.; Verbon, A.; et al. Microcalorimetry: A Novel Application to Measure In Vitro Phage Susceptibility of Staphylococcus aureus in Human Serum. Viruses 2023, 15, 14. https://doi.org/10.3390/v15010014

AMA Style

Molendijk MM, Phan MVT, Bode LGM, Strepis N, Prasad DK, Worp N, Nieuwenhuijse DF, Schapendonk CME, Boekema BKHL, Verbon A, et al. Microcalorimetry: A Novel Application to Measure In Vitro Phage Susceptibility of Staphylococcus aureus in Human Serum. Viruses. 2023; 15(1):14. https://doi.org/10.3390/v15010014

Chicago/Turabian Style

Molendijk, Michèle M., My V. T. Phan, Lonneke G. M. Bode, Nikolas Strepis, Divyae K. Prasad, Nathalie Worp, David F. Nieuwenhuijse, Claudia M. E. Schapendonk, Bouke K. H. L. Boekema, Annelies Verbon, and et al. 2023. "Microcalorimetry: A Novel Application to Measure In Vitro Phage Susceptibility of Staphylococcus aureus in Human Serum" Viruses 15, no. 1: 14. https://doi.org/10.3390/v15010014

APA Style

Molendijk, M. M., Phan, M. V. T., Bode, L. G. M., Strepis, N., Prasad, D. K., Worp, N., Nieuwenhuijse, D. F., Schapendonk, C. M. E., Boekema, B. K. H. L., Verbon, A., Koopmans, M. P. G., Graaf, M. d., & van Wamel, W. J. B. (2023). Microcalorimetry: A Novel Application to Measure In Vitro Phage Susceptibility of Staphylococcus aureus in Human Serum. Viruses, 15(1), 14. https://doi.org/10.3390/v15010014

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop