Literature DB >> 35196789

Elasnin Effectively Eradicates Daptomycin-Resistant Methicillin-Resistant Staphylococcus aureus Biofilms.

Jordy Evan Sulaiman1, Lexin Long2, Pei-Yuan Qian2,3, Henry Lam1.   

Abstract

Elasnin is a recently reported antibiofilm agent that is effective against Gram-positive bacteria including methicillin-resistant Staphylococcus aureus (MRSA). Remarkably, we observed that elasnin has a superior activity in eradicating daptomycin-resistant MRSA strain biofilm, with a lower minimum biofilm eradication concentration (MBEC) value of 0.625 μg/mL, compared to 2.5 μg/mL for the wild type. Confocal microscopy further confirmed the higher biofilm eradication on the daptomycin-resistant strain, displaying ∼53% decrease in cell density upon elasnin treatment, while the wild-type strain was only decreased by ∼15%. Quantitative proteomics revealed that the daptomycin-resistant strain has a lower expression of the membrane, cell wall, and extracellular proteins, and also proteins involved in the arginine biosynthesis, pathogenesis, and cell adhesion compared to the wild type, which may result in weaker biofilm development. This study highlights the potential clinical application of elasnin through its superior biofilm eradication activity against a daptomycin-resistant MRSA strain, and revealed the associated processes governing this superior activity through proteomics analysis. IMPORTANCE Due to the increased use of daptomycin for the treatment of MRSA infections, the emergence of daptomycin-resistant strains has become prevalent in recent years. In this study, we discovered that elasnin, a newly reported antibiofilm compound, has a superior activity in eradicating daptomycin-resistant MRSA strain biofilms compared to the wild type. Follow-up analysis revealed the reason behind this superior activity, which is the lower expression of key proteins that play a role in pathogenesis and cell adhesion in the daptomycin-resistant strain, leading to weaker biofilm development. This showcases the potential use of elasnin in clinical settings where daptomycin-resistant strains and biofilm formation are prevalent. Altogether, our study provides new insights into the mechanism of elasnin in MRSA biofilm cells and identified its superior biofilm eradicating activity in the daptomycin-resistant strain.

Entities:  

Keywords:  MRSA; antibiotics; biofilms; elasnin; proteomics; resistance

Mesh:

Substances:

Year:  2022        PMID: 35196789      PMCID: PMC8865424          DOI: 10.1128/spectrum.02320-21

Source DB:  PubMed          Journal:  Microbiol Spectr        ISSN: 2165-0497


INTRODUCTION

Elasnin was first introduced as a human granulocyte elastase inhibitor that has minimal to none toxic side effects (1, 2). Several studies have suggested that elasnin could be used to treat chronic obstructive lung disease caused by leukocyte elastase that damages the lung tissue (3, 4). Recently, the antibiofilm activity of elasnin was explored, and it was reported that elasnin inhibited biofilm formation of multiple species in the marine environment, including some Gram-positive bacteria such as Staphylococcus aureus (5, 6). Further investigation showed that elasnin did not only inhibit biofilm formation, but also effectively eradicated the biofilms of methicillin-resistant Staphylococcus aureus (MRSA) through the repression of the virulence regulon and interference of the cell division process (i.e., by suppressing the production of newly synthesized extracellular polymeric substance [EPS], cell wall and membrane components, and peptidoglycan hydrolases that are needed to finish cell wall formation) (7). Since elasnin’s main mode of action is by disrupting the biofilm matrix and interfering with the cell division process, it has limited ability to kill biofilm or stationary phase cells (7). However, the resulting elasnin-treated biofilm cells were shown to exhibit cell wall defects and became more sensitive to β-lactams such as penicillin G. Follow-up analysis showed that although elasnin could barely kill non-growing stationary phase or biofilm cells upon prolonged treatment, it exhibited antibacterial activity against growing S. aureus planktonic cells, albeit with slow killing kinetics (8). The last-resort antibiotics against MRSA bacteremia infections are vancomycin (VAN) and daptomycin (DAP) (9, 10). However, due to the extensive use of these two antibiotics, clinical isolates that are resistant to VAN and DAP were frequently reported and quickly became prevalent in clinics (11–15). In this study, we explored the effectiveness of elasnin against a daptomycin-resistant MRSA (DAPR) strain that was isolated from our previous work, bearing a single point mutation in the mprF gene that matched those observed in clinical isolates (16). This is particularly important since the DAPR MRSA strain possessed membrane and other cell wall-related modifications, which were known to be affected by elasnin according to a previous study (7). Moreover, in our previous study, we have also shown that the DAPR strain has defects in biofilm forming abilities compared to the wild-type (WT) MRSA, which might impact their survival toward elasnin treatment (16). Interestingly, here we discovered that elasnin has a superior biofilm eradicating activity against the DAPR strain compared to the susceptible WT strain. This highlighted the potential clinical application of elasnin, since MRSA strains often formed biofilms in medical devices (17), and DAPR biofilm was known to be harder to eradicate compared to the WT biofilm with either DAP or VAN (16). Using proteomics, we compared the proteome profile of DAPR and the WT biofilm cells under elasnin treatment to reveal the reason behind elasnin’s superior biofilm eradication activity against the DAPR strain.

RESULTS AND DISCUSSION

Elasnin has a superior biofilm inhibition and eradication activity against DAPR MRSA compared to the WT.

It was reported that elasnin interfered with cell division and cell wall biosynthesis in both planktonic culture and biofilms (7, 8). Therefore, we were interested in seeing how elasnin affects a daptomycin-resistant MRSA (DAPR) strain, which has membrane and cell-wall modifications due to the mutation it possessed (T345A gain-of-function in the mprF gene), and also lower biofilm formation compared to the WT strain (16). Our recent transcriptomic study has also shown that elasnin treatment led to a 10-fold downregulation in the expression of mprF gene on MRSA planktonic cells, the gene that was mutated in the DAPR strain (8). First, we investigated the antibacterial activity of elasnin toward planktonic culture of WT and DAPR MRSA strains. Time-kill assay showed that after prolonged elasnin treatment, the survival level for WT and DAPR MRSA were similar (∼0.01% survival after 21 h) (Fig. 1a), and there was no difference in the MIC toward elasnin between the WT and DAPR MRSA, as measured by broth microdilution (4 μg/mL) and disc diffusion assay (Fig. 1b). These results suggested that despite the membrane and cell-wall modifications in the DAPR strain that conferred its resistance, elasnin could still eliminate most of the growing DAPR cells to the same extent as in the WT strain when applied at a high dose (>10× MIC). Next, we looked at the differences between elasnin treatment in the WT biofilm cells and the DAPR biofilm cells. Interestingly, biofilm assay revealed that although the measured minimum biofilm inhibitory concentration (MBIC) of elasnin toward both WT and DAPR MRSA were the same (5 μg/mL), the minimum biofilm eradication concentration (MBEC) of elasnin toward DAPR MRSA was much lower compared to the WT (0.625 μg/mL and 2.5 μg/mL for DAPR and WT, respectively) (Fig. 1c and d). These relatively low MBEC values (compared to other antibiotics such as daptomycin and vancomycin, with MBEC of 20 μg/mL [5, 16]) showcased the excellent performance of elasnin in disrupting mature biofilms not only in the WT strain but also in the DAPR strain. Moreover, the activity of elasnin was observed to be higher in the DAPR strain compared to the WT. Under 2.5 μg/mL of elasnin treatment, the biofilm inhibition percentage for the DAPR strain was 81%, compared to 59% for the WT (Fig. 1c). Similarly, under 0.625 μg/mL of elasnin treatment, the biofilm eradication percentage for the DAPR strain was 61%, compared to 16% for the WT (Fig. 1d). Since the superior activity of elasnin was more evident in biofilm eradication than in inhibition, we focused on investigating the former phenomenon. Besides, it was also reported that the DAPR strain biofilm was harder to eradicate using two of the most commonly used antibiotics in clinics against MRSA, DAP, and VAN, compared to the DAP-susceptible WT (16). Therefore, elasnin’s superior biofilm eradication activity against the DAPR strain would have important clinical implications.
FIG 1

Susceptibility of WT and DAPR strain planktonic and biofilm cells toward elasnin. (a) Time-kill curve of exponential-phase WT and DAPR MRSA planktonic cells under elasnin treatment (50 μg/mL) (mean ± SEM, n = 3). (b) MIC test toward elasnin carried out using disc diffusion antibiotic sensitivity testing (disc content 40 μg). The text on the lower right corner marks the diameter of the zone of inhibitions. (c–d) Biofilm assay of the WT and DAPR strain toward elasnin treatment. Antimicrobial activities of elasnin against daptomycin susceptible WT MRSA and daptomycin resistant MRSA (DAPR), represented by the minimum concentration needed to inhibit 90% biofilm formation (minimum biofilm inhibitory concentration, MBIC) (c) and minimum concentration needed to eradicate 50% mature biofilm (minimum biofilm eradication concentration, MBEC) (d) (mean ± SEM, n = 4). The figure on the right shows the biofilm inhibition % (c) and biofilm eradication % (d) of WT and DAPR MRSA under 2.5 μg/mL and 0.625 μg/mL of elasnin treatment, respectively. P values were estimated using two-tailed Student’s t-test.

Susceptibility of WT and DAPR strain planktonic and biofilm cells toward elasnin. (a) Time-kill curve of exponential-phase WT and DAPR MRSA planktonic cells under elasnin treatment (50 μg/mL) (mean ± SEM, n = 3). (b) MIC test toward elasnin carried out using disc diffusion antibiotic sensitivity testing (disc content 40 μg). The text on the lower right corner marks the diameter of the zone of inhibitions. (c–d) Biofilm assay of the WT and DAPR strain toward elasnin treatment. Antimicrobial activities of elasnin against daptomycin susceptible WT MRSA and daptomycin resistant MRSA (DAPR), represented by the minimum concentration needed to inhibit 90% biofilm formation (minimum biofilm inhibitory concentration, MBIC) (c) and minimum concentration needed to eradicate 50% mature biofilm (minimum biofilm eradication concentration, MBEC) (d) (mean ± SEM, n = 4). The figure on the right shows the biofilm inhibition % (c) and biofilm eradication % (d) of WT and DAPR MRSA under 2.5 μg/mL and 0.625 μg/mL of elasnin treatment, respectively. P values were estimated using two-tailed Student’s t-test.

Confocal microscopy of the DAPR MRSA strain biofilm eradication upon elasnin treatment.

We used confocal laser scanning microscopy (CLSM) to confirm our biofilm assay and visualized the eradication of WT and DAPR strain biofilms with elasnin. From the confocal images, we observed that there was a clear reduction in the cell density after treatment with elasnin for both the WT (Fig. 2a and b) and DAPR MRSA (Fig. 2c and d). More importantly, the decrease in cell density was more drastic in the DAPR strain compared to the WT, confirming our biofilm assay. Quantitative analysis showed that the biomass (biofilm cells) of the DAPR strain was significantly reduced after the treatment of elasnin with low concentration (53% decrease in cell density), while the WT strain was only decreased slightly (15% decrease in cell density) (Fig. 2e). The maximum thickness of the biofilm was also decreased in both WT and DAPR MRSA upon elasnin treatment (Fig. 2f).
FIG 2

Comparison of elasnin treatment on WT and DAPR MRSA biofilms using confocal microscopy. (a–d) Image of the preformed WT MRSA biofilms (24 h of incubation) after another incubation for 18 h without antibiotic treatment (a) and the preformed WT MRSA biofilms (24 h of incubation) after another incubation for 18 h with elasnin treatment at a concentration of 0.625 μg/mL (b). Image of the preformed DAPR MRSA biofilms (24 h of incubation) after another incubation for 18 h without antibiotic treatment (c) and the preformed DAPR MRSA biofilms (24 h of incubation) after another incubation for 18 h with elasnin treatment at a concentration of 0.625 μg/mL (d). For a–d, the left and right images are two- and three-dimensional confocal images of biofilm cells stained with FilmTracer FM 1-43 green biofilm cell stain. (e-f) Quantitative analysis of the confocal images. Biomass (e) and maximum thickness (f) of WT and DAPR MRSA without and with elasnin treatment were calculated using COMSTAT 2.1 on the basis of the three-dimensional confocal laser scanning microscopy (CLSM) images (mean ± SEM, n = 5). Significance of difference with the ancestral: ns, not significant; *, P < 0.05; ***, P < 0.001 (two-tailed Student’s t test).

Comparison of elasnin treatment on WT and DAPR MRSA biofilms using confocal microscopy. (a–d) Image of the preformed WT MRSA biofilms (24 h of incubation) after another incubation for 18 h without antibiotic treatment (a) and the preformed WT MRSA biofilms (24 h of incubation) after another incubation for 18 h with elasnin treatment at a concentration of 0.625 μg/mL (b). Image of the preformed DAPR MRSA biofilms (24 h of incubation) after another incubation for 18 h without antibiotic treatment (c) and the preformed DAPR MRSA biofilms (24 h of incubation) after another incubation for 18 h with elasnin treatment at a concentration of 0.625 μg/mL (d). For a–d, the left and right images are two- and three-dimensional confocal images of biofilm cells stained with FilmTracer FM 1-43 green biofilm cell stain. (e-f) Quantitative analysis of the confocal images. Biomass (e) and maximum thickness (f) of WT and DAPR MRSA without and with elasnin treatment were calculated using COMSTAT 2.1 on the basis of the three-dimensional confocal laser scanning microscopy (CLSM) images (mean ± SEM, n = 5). Significance of difference with the ancestral: ns, not significant; *, P < 0.05; ***, P < 0.001 (two-tailed Student’s t test).

Proteomics analysis of WT and DAPR MRSA biofilm cells.

The superior biofilm eradication activity of elasnin toward DAPR MRSA suggested that there were biofilm-specific processes that were differentially regulated in the DAPR strain (compared to the WT), which made them easier to be eradicated with elasnin. To elucidate these processes, we performed shotgun proteomics on the DAPR and WT biofilms (in the presence and absence of elasnin). Combining all replicates, 1,625 and 1,636 distinct proteins were identified for elasnin-treated WT and DAPR biofilms respectively, whereas 1,643 and 1,642 distinct proteins were identified for untreated WT and DAPR biofilms respectively (Fig. 3a and b). From the principal-component analysis (PCA) plots, we observed that while the untreated DAPR and the WT biofilms were well separated from each other, the elasnin-treated cells were positioned similarly to their untreated counterparts (Fig. 3c and d). Indeed, very few proteins were found differentially expressed when comparing the cells before and after elasnin treatment (Fig. S1 in the supplemental material). The WT strain upregulated four proteins and the DAPR strain upregulated three proteins in response to elasnin treatment, with one of them being shared in both strains. The WT strain upregulated ABC transporter domain-containing protein (Q2G196) by 9.2-fold, putative hemin import ATP-binding protein HrtA (Q2FVR1) by 2.5-fold, and a hypothetical protein (gene_2764) by 3.8-fold, whereas the DAPR strain upregulated urease subunit beta UreB (Q2G2K6) by 5.1-fold and urease accessory protein UreF (Q2G2K7) by 2.4-fold, which were both involved in the urea degradation pathway. The protein that was upregulated in both strains was a putative multidrug ABC transporter permease YbhR (gene_2299), which was upregulated by 12- and 11-fold in the WT and DAPR strains, respectively. These limited numbers of differentially regulated proteins upon elasnin treatment suggested that transport proteins played an important role in MRSA response toward elasnin treatment, while the urease degradation pathway was only upregulated in the DAPR strain. As has been previously reported, the effect of elasnin treatment on the cells was most evident at ∼6 h after treatment, whereas after a prolonged treatment (>12 h), the proteome profile of the biofilm cells reverted to one that resembles the untreated cells. This is likely because at an extended time, most of the treated biofilm cells that exhibited physiological changes were already released to the medium. Those analyzed by proteomics were the cells left behind, which should be located deeper in the biofilm with possibly less elasnin exposure (7). In our case, the biofilm cells were treated with a long treatment period (18 h), which may explain the similar profiles of the treated and untreated cells. Therefore, in this study, we focused on comparing the proteome of the DAPR and WT biofilm cells, which will tell us why the DAPR biofilms were more readily eradicated with elasnin, rather than comparing the proteome of the biofilm cells before and after elasnin treatment, which was already reported elsewhere (7).
FIG 3

Proteome profile comparison between the DAPR and the WT biofilms in the absence and presence of elasnin. (a–b) Venn diagrams for proteome comparison of DAPR and the WT biofilms in the absence of antibiotic (a) and after elasnin treatment (b). (c–d) Principal-component analysis (PCA) of proteomes of the untreated WT, untreated DAPR, elasnin-treated WT, and elasnin-treated DAPR. PC1 versus PC2 (c), PC1 versus PC3 (d). (e–f) Volcano plots for DAPR and the WT biofilms in the absence of antibiotic (e) and after elasnin treatment (f). Differentially expressed proteins (DEPs) are defined to be those with permutation-based false discovery rate (FDR) below 0.05, and fold change lower than 0.5 or greater than 2 (colored dots). Up-regulated proteins are those with higher expression levels on the DAPR strain, while downregulated proteins are those with higher expression levels on the WT strain. (g) Protein–protein interaction network of the DEPs between the DAPR and the WT biofilms, as predicted by STRING v11.0. The lines represent protein interaction (thicker lines mean higher confidence), and the dots in different colors represent different protein functions. The arrow beside the protein functions indicates whether the expression is higher (arrow pointing up) or lower (arrow pointing down) in the DAPR strain compared to the WT biofilm cells. Uncharacterized proteins are not annotated and nodes without function enrichment are colored gray. (h) Gene ontology (GO) analysis and pathway enrichment study (KEGG) by DAVID of the DEPs of DAPR MRSA biofilms compared to the WT in the absence of antibiotic (blue bars) and after elasnin treatment (red bars).

Proteome profile comparison between the DAPR and the WT biofilms in the absence and presence of elasnin. (a–b) Venn diagrams for proteome comparison of DAPR and the WT biofilms in the absence of antibiotic (a) and after elasnin treatment (b). (c–d) Principal-component analysis (PCA) of proteomes of the untreated WT, untreated DAPR, elasnin-treated WT, and elasnin-treated DAPR. PC1 versus PC2 (c), PC1 versus PC3 (d). (e–f) Volcano plots for DAPR and the WT biofilms in the absence of antibiotic (e) and after elasnin treatment (f). Differentially expressed proteins (DEPs) are defined to be those with permutation-based false discovery rate (FDR) below 0.05, and fold change lower than 0.5 or greater than 2 (colored dots). Up-regulated proteins are those with higher expression levels on the DAPR strain, while downregulated proteins are those with higher expression levels on the WT strain. (g) Protein–protein interaction network of the DEPs between the DAPR and the WT biofilms, as predicted by STRING v11.0. The lines represent protein interaction (thicker lines mean higher confidence), and the dots in different colors represent different protein functions. The arrow beside the protein functions indicates whether the expression is higher (arrow pointing up) or lower (arrow pointing down) in the DAPR strain compared to the WT biofilm cells. Uncharacterized proteins are not annotated and nodes without function enrichment are colored gray. (h) Gene ontology (GO) analysis and pathway enrichment study (KEGG) by DAVID of the DEPs of DAPR MRSA biofilms compared to the WT in the absence of antibiotic (blue bars) and after elasnin treatment (red bars). Fig. 3e and f show the volcano plots of fold changes against P values (two-tailed Student's t test) along with the number of differentially expressed proteins (DEPs), highlighting the proteins in the DAPR biofilm with different expression levels compared to the WT in the absence and presence of elasnin, respectively. A total of 155 proteins (73 proteins upregulated and 82 proteins downregulated) were differentially expressed in the DAPR strain compared to the WT in the absence of antibiotic, whereas 106 proteins (33 proteins upregulated and 73 proteins downregulated) were differentially expressed in the DAPR strain compared to the WT in the presence of elasnin. The list of DEPs is available in Table S1, and the protein-protein interaction networks of the DEPs are depicted in Fig. 3g. In the absence of elasnin, the expression of ribosomal proteins was higher in the DAPR biofilm, while the expression of proteins for arginine biosynthesis, urea cycle, response to stress, cell signaling, pathogenesis, and cell adhesion was lower compared to the WT. After elasnin treatment, we observed a smaller number of processes whose expression levels differed between the two strains. While we still spotted the lower expression of proteins for arginine biosynthesis, cell signaling, pathogenesis, and cell adhesion, the lower expression of proteins for the urea cycle and those that act as a response to stress in the DAPR biofilm cells were no longer observed, indicating that they upregulated these proteins after elasnin treatment to a similar level as those in the WT cells. This was consistent with the observed upregulation of proteins for urea degradation (UreB and UreF) on the DAPR strain upon elasnin treatment (Fig. S1), whereas the WT strain did not differentially express these proteins.

DAPR MRSA has a lower expression of proteins for pathogenesis and cell adhesion compared to the WT, which are important for biofilm development.

Similarly, from the Gene Ontology (GO) and pathway analysis, in the absence of elasnin we observed that the DAPR strain has a higher expression of ribosomal proteins, pseudouridine synthase activity, and proteins for rRNA binding compared to the WT, which were all related to gene expression (Fig. 3h). Both in the absence and presence of elasnin, the DAPR strain has a lower expression of membrane and cell wall proteins, and proteins for arginine biosynthesis, pathogenesis, and cell adhesion, indicating that these processes were already differentially regulated in the DAPR strain even before exposure to elasnin, and elasnin treatment also did not alter the regulation of these processes. Interestingly, although the tyrosine-based-site-specific recombinase activity was expressed higher in the DAPR strain even in the absence of elasnin, its fold enrichment in GO analysis drastically increased upon treatment with elasnin, indicating that there are much more proteins with this molecular function that were expressed higher upon elasnin treatment. On the other hand, there are some processes that were altered in the DAPR strain only upon exposure to elasnin, such as the higher expression of proteins related to transposition, UDP-glucose-4-epimerase activity, N-acetylmuramoyl-L-alanine amidase activity, and proteins in the extracellular space. These differential regulations of processes upon elasnin treatment in the two strains might be related to the observed difference in their biofilm eradication. A large array of virulence factors and secreted molecules participate in the typical process of S. aureus biofilm formation and development (18–20). These include adhesive surface proteins (e.g., fibronectin-binding proteins FnbpA and FnbpB, clumping factors ClfA and ClfB), degradative enzymes (e.g., SspA, SspB), autolysins (e.g., LytM and Atl), extracellular polymeric substances (wall teichoic acids, polysaccharide intracellular adhesin, extracellular DNA), toxins (e.g., Hla and HlgAB), and many others (21–23). Indeed, we observed that the expression of these proteins was lower in the DAPR strain. The expression profile of the DEPs involved in pathogenesis and cell adhesion across both the WT and DAPR strains is shown in Fig. 4, where we spotted that microbial surface components recognizing adhesive matrix molecules (MSCRAMMs) such as clumping factors A and B (ClfA, ClfB), fibrinogen binding protein A (FnbpA), and serine-aspartate repeat-containing protein SdrD, were expressed lower in the DAPR biofilm cells compared to the WT. Other proteins that were expressed lower in the DAPR biofilm cells include autolysins such as N-acetylmuramoyl-L-alanine amidase Sle1, glycyl-glycine endopeptidase LytM, and Atl, which are peptidoglycan hydrolases involved in cell wall formation during cell division, toxins such as gamma-hemolysin component B (HlgB) and enterotoxin family protein, and virulence factors such as staphylococcal superantigen-like 1 and 7 (Ssl1 and Ssl7), which are virulence mediators that proteolytically cleave host proteins, type VII secretion system accessory factor EsaA, which acts a secretion platform across cytoplasmic membrane in the host, iron-regulated surface determinant protein B (IsdB) which is a cell wall-anchored surface receptor, and staphylococcal protein A (SpA), which plays a key role in the inhibition of the host innate and adaptive immune responses. Besides, we also observed that extracellular matrix binding protein Emp, one of the secretable expanded repertoire adhesive molecules (SERAMs), was expressed lower by 3.5-fold in the DAPR strain compared to the WT. Since all of these proteins are important for biofilm development, this might explain why the DAPR biofilm cells were easier to be eradicated with elasnin. Besides, the observation that the DAPR strain has lower expression of key proteins for biofilm development was also consistent with the previously reported lower biofilm formation of the DAPR strain compared to the WT MRSA (16).
FIG 4

Expression level of proteins involved in pathogenesis and cell adhesion across the DEPs of the WT and DAPR strain. Those that are highlighted with blue colors are peptidoglycan hydrolases, yellow colors are toxins, and red colors are microbial surface components recognizing adhesive matrix molecules (MSCRAMMs), which mediate the initial attachment of S. aureus to host tissue, hence providing a critical step for infection establishment.

Expression level of proteins involved in pathogenesis and cell adhesion across the DEPs of the WT and DAPR strain. Those that are highlighted with blue colors are peptidoglycan hydrolases, yellow colors are toxins, and red colors are microbial surface components recognizing adhesive matrix molecules (MSCRAMMs), which mediate the initial attachment of S. aureus to host tissue, hence providing a critical step for infection establishment. A previous study that investigated the transcriptome and proteome changes of MRSA biofilm cells upon elasnin treatment showed that in addition to the membrane and extracellular proteins, elasnin treatment led to the downregulation of genes and proteins involved in cell division, staphylococcus infection, and pathogenesis (7). These genes/proteins include those for the EPS production (IcaA, IcaB, and IcaC), murein hydrolases and autolysins (Atl, LytM, LytR, and CidA), serine protease (SspA, SspB, SspC, SspP, and SplB), toxins (Hld, HlgB, HlgC, and Hly), secreted virulence factors (EsxA), and adhesins (FnbpA, ClfB, SdrD, and Emp), which we also observed to be expressed lower in the DAPR strain compared to the WT biofilm cells. These suggested that the expression of these proteins was important for the cells to withstand biofilm eradication by elasnin, but instead, they were expressed lower in the DAPR strain, consistent with their higher elasnin-induced biofilm eradication. Our findings pointed out the clinical potentials of elasnin. Aside from the effectiveness of elasnin in eradicating DAPR MRSA biofilms through the larger downregulation of important proteins for biofilm development, it can also kill DAPR planktonic cells to a similar extent to the WT strain under prolonged lethal-dose treatment. DAPR MRSA strains have become prevalent in clinics and often formed biofilms in clinical devices, which could not be eradicated by antibiotics such as DAP and VAN (16). Therefore, the discovery of novel antibiofilm agents that can eradicate these notorious resistant MRSA strains would be of great interest. Overall, this study highlights the potential use of elasnin in clinical settings through its superior biofilm eradication activity against DAPR MRSA biofilms compared to the WT and elucidated the processes governing this superiority, which would be useful for follow-up studies focusing on in vivo applications of elasnin as an antibiotic or drug adjuvant.

MATERIALS AND METHODS

Bacterial strains.

In this study, methicillin-resistant S. aureus (MRSA) ATCC 43300 was used as the wild-type strain. The daptomycin-resistant strain (DAPR) with single point mutation on the mprF gene (T345A) was obtained through laboratory evolution experiments from our previous study (16).

Elasnin preparation and treatment in planktonic cells.

The elasnin was prepared according to a previously described protocol (5, 8). Briefly, Streptomyces mobaraensis DSM 40847 was incubated for 5 days, and the culture broth was extracted with ethyl acetate. Pure elasnin was isolated by reversed-phase high-performance liquid chromatography (HPLC) and dissolved in dimethyl sulfoxide (DMSO). To generate the time-kill curves upon elasnin treatment, overnight cultures of MRSA were prepared by incubating cells from frozen stock in cation-adjusted Mueller-Hinton (MH) broth (supplemented with 50 mg/L Ca2+) at 37°C at 250 rpm. The next day, cells were regrown by incubating a 1:1,000 diluted overnight culture in fresh MH broth at 37°C until it reached exponential phase (OD600 of ∼0.1). The exponential phase cultures were treated with elasnin (50 μg/mL) for 21 h, and the number of survivors was counted at specific time points by serially diluting cultures in MH broth, plating 100 μL on MH agar and spread plates.

Disc diffusion assay.

The MICs of MRSA cells toward elasnin were measured by broth macrodilution and disc diffusion assay. For broth macrodilution, the MIC was determined by incubating ∼5⋅105 exponential phase bacteria in MH broth overnight with different antibiotics concentrations. The MIC value was determined as the lowest concentration without growth. The disc diffusion test was performed according to the standard EUCAST susceptibility test guideline where inoculum suspension equivalent to a 0.5 McFarland standard (1–2⋅ 108 CFU/mL) was spread on MH agar applied with an antimicrobial disk containing 40 μg elasnin, and incubated at 35°C for 20 h (24).

Biofilm assay.

Biofilm assay was performed as previously described (25, 26). To see the biofilm inhibition, an overnight culture of WT and DAPR MRSA was diluted into approximately 107 CFU/mL with Lysogeny broth (LB) and 0.5% glucose and treated with various concentrations of elasnin in 96-well cell culture plates. Plates were then incubated at 37°C for 24 h and rinsed twice with 1 × PBS (phosphate-buffered saline) to remove nonadhering and planktonic cells. After rinsing, MTT staining assay was conducted to measure viable cells in the biofilms since MTT can react with activated succinate dehydrogenase in viable cell mitochondria to form blue-violet formazan, which can be measured at 570 nm after dissolving in DMSO. Biofilm inhibition (%) is calculated by comparing the OD570 values of the antibiotic-treated cells with the OD570 values of the cells grown without antibiotics. To see the biofilm eradication, an overnight culture of WT and DAPR MRSA was incubated for 24 h in 96-well cell culture plates to form biofilms (without the addition of elasnin). The formed biofilm was rinsed twice with 1 × PBS and challenged with elasnin at a series of concentrations and incubated for another 24 h at 37°C. After incubation, each well was rinsed twice with 1 × PBS, and the MTT assay was conducted to measure viable cells in the remaining biofilm. Biofilm eradication (%) is calculated by comparing the OD570 values of the antibiotic-treated biofilms with the OD570 values of the biofilms without antibiotic treatment. The lowest concentrations of elasnin that resulted in decreases of at least 90% and 50% in OD570 of the WT and DAPR MRSA were recorded as minimum biofilm inhibitory concentration (MBIC) and minimum biofilm eradication concentration (MBEC), respectively.

Confocal laser scanning microscopy (CLSM) observation of biofilm cells under elasnin treatment.

Biofilms were grown on glass cover slides as those described for the MBEC assay with 0.625 μg/mL elasnin. Treated biofilms were then rinsed twice with 1 × PBS and stained with FilmTracer FM 1-43 green biofilm cell stain at room temperature for 30 min in the dark. A Zeiss LSM710 Confocal Microscope was employed to observe cells in the biofilm at 488 nm.

Sample preparation for proteomics.

The WT and DAPR MRSA were incubated for 24 h in 96-well cell culture plates to form biofilms. The formed biofilm was rinsed twice with 1 × PBS and treated with elasnin (0.625 μg/mL) for 18 h. The long treatment time was chosen to ensure that we profiled the biofilm cells with similar progression toward elasnin treatment, rather than those that were still in transition from biofilm to planktonic. Biofilm cells that were not treated with elasnin were collected as a control. For all samples, three biological replicates were performed including the control samples. The subsequent processing of the samples follows the same protocol from our previous study (8). Briefly, the cell pellet was suspended in 350 μL of lysis buffer (8M Urea, 50 mM Tris-HCl pH 8.0), frozen in liquid nitrogen, and sonicated for 15 min. The sample was centrifuged, and an aliquot of the sample was taken for bicinchoninic acid protein assay. After protein quantification, the sample was reduced by dithiothreitol (DTT) to a 0.1 M final concentration at 37°C for 1 h. Next, 100 μg of proteins were transferred to an Amicon filter device and centrifuged, and the retained proteins were alkylated with iodoacetamide (IAA, 50 mM in exchange buffer) in the dark for 20 min, and then centrifuged again. To dilute the urea concentration, 250 μL of 50 mM ammonium bicarbonate was added to the filter device and centrifuged, and this step was repeated once. Proteins were digested by sequencing-grade modified trypsin (1:50 wt/wt) for 12 h at 37°C, and then the sample was acidified with 10% formic acid to a final concentration of 0.1% (vol/vol), followed by 5 min centrifugation. The samples were desalted by C18 reverse-phase ZipTip and dried with SpeedVac for 20 min.

Liquid chromatography (LC) – TimsTOF Pro mass spectrometer (MS).

Similarly, the parameters and settings for the LC-MS follow the same protocol from our previous study (8). Briefly, the samples were reconstituted in 25 μL water:acetonitrile:formic acid in a 97.9:2:0.1 ratio (vol/vol/vol), and a volume of 1 μL (200 ng of the protein digest) was processed through Bruker nanoElute Ultra-High-Performance Liquid Chromatography (UHPLC) coupled to a hybrid trapped ion mobility-quadrupole time-of-flight mass spectrometer (TimsTOF Pro) via a nano-electrospray ion source. The mobile phase composition is 0.1% formic acid in water for solvent A, and 0.1% formic acid in acetonitrile for solvent B. The gradient was applied as follows: from 2% to 5% of solvent B for the first 0.5 min, from 5% to 30% of solvent B for 26.5 min, from 30% to 95% of solvent B for 0.5 min, keeping 95% of solvent B for 0.5 min, and finally decreasing from 95% to 2% of solvent B for 0.1 min. Two min equilibration with 2% of solvent B was applied before the next injection. For the TimsTOF Pro mass spectrometer (MS), we set the accumulation and ramp time to 100 ms each and recorded mass spectra in the range from m/z 100 to 1700 using the positive electrospray mode. The ion mobility was scanned from 0.85 to 1.30 Vs/cm2, the quadrupole isolation width was set to 2 Th for m/z < 700 and 3 Th for m/z > 700, and the collision energy was linearly increased from 27 eV to 45 eV as a function of increasing ion mobility. Low-abundance precursor ions with an intensity above a threshold of 2,500 counts but below a target value of 20,000 counts were repeatedly scheduled and otherwise dynamically excluded for 0.4 min.

Database searching and label-free quantification of proteomics data.

The database searching and quantification of proteomics data follow the same protocol from our previous study (8). Briefly, the raw data were processed by MaxQuant v1.6.17.0 (27, 28) with default parameters except the following. Discard unmodified counterpart peptides was set to false, write msScans table was set to true, and match between runs was set to true. For label-free quantification (LFQ), the minimum ratio count was set to 2, and separate LFQ in parameter groups was set to true. For the database searching, a custom database was generated by converting the genome sequence of MRSA ATCC 43300 into a protein database using GeneMark (29) (version 3.25) gene prediction tool. The proteins were subsequently annotated using BLASTp (version 2.7.1) from NCBI using MRSA NCTC 8325 as the protein database. The sequences of common contaminants such as trypsin and human keratins were then added to the database. Perseus v1.6.15.0 (30) was used to process the subsequent data from MaxQuant. Briefly, protein group LFQ intensities were log2-transformed, missing values were imputed from the normal distribution, and log ratios were calculated as the difference in the average log2 LFQ intensity values between experimental and control groups. Two-tailed Student's t test calculations were used in statistical tests. A protein is considered as differentially expressed if its fold change is higher or lower than ±2-fold and permutation-based false discovery rate (FDR) ≤ 0.05. Perseus was used to visualize the proteomic data using principal-component analysis of the log2 LFQ intensity values. To highlight potentially important proteins among the differentially expressed proteins, STRING version 11.0 (31) was used to predict the protein–protein interactions and to visualize the interactions. Finally, DAVID (Database for Annotation, Visualization and Integrated Discovery) version 6.8 (32) was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.

Data availability.

The mass spectrometry proteomics data have been deposited to ProteomeXchange via the PRIDE repository with the data set identifier PXD024005.
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1.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

2.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

3.  GeneMark.hmm: new solutions for gene finding.

Authors:  A V Lukashin; M Borodovsky
Journal:  Nucleic Acids Res       Date:  1998-02-15       Impact factor: 16.971

4.  The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.

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Journal:  Nat Protoc       Date:  2016-10-27       Impact factor: 13.491

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Authors:  Michael Otto
Journal:  Microbiol Spectr       Date:  2018-08

6.  Elasnin, a new human granulocyte elastase inhibitor produced by a strain of Streptomyces.

Authors:  S Omura; H Ohno; T Saheki; M Yoshida; A Nakagawa
Journal:  Biochem Biophys Res Commun       Date:  1978-07-28       Impact factor: 3.575

7.  Daptomycin-resistant, methicillin-resistant Staphylococcus aureus bacteremia.

Authors:  A Mangili; I Bica; D R Snydman; D H Hamer
Journal:  Clin Infect Dis       Date:  2005-02-17       Impact factor: 9.079

8.  Proteomics and Transcriptomics Uncover Key Processes for Elasnin Tolerance in Methicillin-Resistant Staphylococcus aureus.

Authors:  Jordy Evan Sulaiman; Lexin Long; Pei-Yuan Qian; Henry Lam
Journal:  mSystems       Date:  2022-01-25       Impact factor: 6.496

Review 9.  Natural Anti-biofilm Agents: Strategies to Control Biofilm-Forming Pathogens.

Authors:  Rojita Mishra; Amrita Kumari Panda; Surajit De Mandal; Muhammad Shakeel; Satpal Singh Bisht; Junaid Khan
Journal:  Front Microbiol       Date:  2020-10-29       Impact factor: 5.640

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1.  Mutation in the Two-Component System Regulator YycH Leads to Daptomycin Tolerance in Methicillin-Resistant Staphylococcus aureus upon Evolution with a Population Bottleneck.

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