Collateral sensitivity to pleuromutilins in vancomycin-resistant Enterococcus faecium

Li, Qian; Chen, Shang; Zhu, Kui; Huang, Xiaoluo; Huang, Yucheng; Shen, Zhangqi; Ding, Shuangyang; Gu, Danxia; Yang, Qiwen; Sun, Hongli; Hu, Fupin; Wang, Hui; Cai, Jiachang; Ma, Bing; Zhang, Rong; Shen, Jianzhong

doi:10.1038/s41467-022-29493-0

Collateral sensitivity to pleuromutilins in vancomycin-resistant Enterococcus faecium

Article
Open access
Published: 07 April 2022

Volume 13, article number 1888, (2022)
Cite this article

Download PDF

You have full access to this open access article

From

View current issue

Collateral sensitivity to pleuromutilins in vancomycin-resistant Enterococcus faecium

Download PDF

6398 Accesses
15 Citations
1 Altmetric
Explore all metrics

Abstract

The acquisition of resistance to one antibiotic sometimes leads to collateral sensitivity to a second antibiotic. Here, we show that vancomycin resistance in Enterococcus faecium is associated with a remarkable increase in susceptibility to pleuromutilin antibiotics (such as lefamulin), which target the bacterial ribosome. The trade-off between vancomycin and pleuromutilins is mediated by epistasis between the van gene cluster and msrC, encoding an ABC-F protein that protects bacterial ribosomes from antibiotic targeting. In mouse models of vancomycin-resistant E. faecium colonization and septicemia, pleuromutilin treatment reduces colonization and improves survival more effectively than standard therapy (linezolid). Our findings suggest that pleuromutilins may be useful for the treatment of vancomycin-resistant E. faecium infections.

Promiscuous, persistent and problematic: insights into current enterococcal genomics to guide therapeutic strategy

Article Open access 28 March 2024

Real-World Treatment of Enterococcal Infections with Daptomycin: Insights from a Large European Registry (EU-CORE)

Article Open access 14 July 2015

Tedizolid susceptibility in linezolid- and vancomycin-resistant Enterococcus faecium isolates

Article 15 August 2016

Introduction

The patterns of evolutionary cross-resistance to clinical antibiotics are a major driving force for accelerating the emergence and dissemination of multidrug resistant (MDR) bacteria¹. Potential avenues for antibiotic resistance are co-selection for resistance driven by antimicrobial‐producing organisms and harmful substances in natural environments where active compounds compete for the same targets². The possibility of such cross‐resistance to clinical antibiotics has received intensive attention previously. Antibiotic resistance often carries various fitness costs in the absence of selective pressures, and such trade-offs in turn occasionally result in rugged fitness landscapes to channel the evolutionary trajectory³. However, the understanding that whether and how negative responses to antibiotic selective pressure modulate the trajectory of evolution in bacteria remains unclear^4,5. Indeed, pioneering works have recently implicated the patterns of collateral sensitivity in Escherichia coli⁶, Pseudomonas aeruginosa⁷, Staphylococcus aureus^8,9 and other pathogens, wherein resistance to one antibiotic simultaneously induces susceptibility to another by forming either homogeneous or heterogeneous populations¹⁰ (Fig. 1a). The clinical implications of collateral sensitivity therefore supply prioritized rational therapies such as the sequential or concurrent deployment of reciprocal collateral sensitivity antibiotic pairs, to combat the antibiotic resistance crisis.

**Fig. 1: Vancomycin-resistant *E. faecium* show collateral sensitivity to lefamulin.**

The increasing vancomycin-resistant enterococci (VRE) particularly vancomycin-resistant Enterococcus faecium (VRE_fm), with high genomic plasticity and metabolic flexibility, seriously compromise the effectiveness of existing antibiotics¹¹. The persistence and spread of VRE_fm within health care settings has become one of the most challenging nosocomial pathogens, leading to at least 5400 estimated deaths and more than $500 million in excess health care costs annually in the United States (U.S.)¹² and accounting for 37% nosocomial infections in Germany¹³. Although vancomycin resistance is widely mediated by mega-plasmids containing diverse van gene clusters, these resistance alleles have been persistently maintained in VRE with low or without fitness cost¹⁴. Therefore, a better mechanistic understanding of antibiotic resistance is urgently required to combat VRE_fm associated infections. However, the evolutionary and pharmacological consequences of dedicated van genes remain largely unknown. In this work, we exploit the evolutionary trade-offs to identify the collateral sensitivity patterns of 102 clinical VRE_fm isolates nationwide for antibiotic repurposing. Our observations indicate that pleuromutilin antibiotics are promising candidates targeting VRE_fm in vitro and in animal models, shedding light on the evolution-directed rational design of antibiotic therapies against MDR bacterial infections.

Results and discussion

VRE_fm show collateral sensitivity to pleuromutilins

To identify the trade-offs in VRE_fm, we first determined the susceptibility and constructed the network of collateral sensitivity of 10 main classes of antibiotics routinely used in the clinic against both 20 VRE_fm and 20 vancomycin sensitive E. faecium (VSE_fm) isolates. Markedly, compared to VSE_fm, we observed that VRE_fm exhibited specific susceptibility to lefamulin (Fig. 1b, Supplementary Tables 1, 2), an approved pleuromutilin antibiotic by the U.S. Food and Drug Administration (FDA) for community-acquired bacterial pneumonia (CABP) in 2019¹⁵, although they displayed general cross-resistance to multiple antibiotics as expected (Fig. 1c). The susceptibility to lefamulin increased more than 500 folds, from ≥16 μg/mL to 0.03 μg/mL. To extend whether other ribosome-targeting antibiotics display similar behaviors, we tested eight antibiotics with different binding sites¹⁶. It confirmed a strong collateral sensitivity to lefamulin with the minimum inhibitory concentration required to inhibit the growth of 50% bacteria (MIC₅₀) of 0.03 μg/mL in VRE_fm, whereas most VSE_fm were resistant to lefamulin with MIC₅₀ of 16 μg/mL (Fig. 2a). Therefore, we hypothesized that such collateral response could be due to the distinct modes of action of pleuromutilins (PLEs).

**Fig. 2: Collateral response to pleuromutilins is universal in VRE_fm.**

To test the generality of VRE_fm channeled evolution toward elevated susceptibility to pleuromutilins, we first performed the structure-activity relationship (SAR) analysis of five pleuromutilins routinely used in human and veterinary medicine (Fig. 2b, Supplementary Fig. 2a). We expanded the number of E. faecium isolates to 210, including 102 VRE_fm isolates of human origins and 109 VSE_fm isolates of human, animals and probiotics in China. These VRE_fm isolates validated the robust collateral sensitivity to pleuromutilins, particularly the decreased MICs of lefamulin, retapamulin and valnemulin with resistance ratios of <0.002 (Fig. 2b, Supplementary Table 1). Our results are consistent with previous empirical observations that the analogs of pleuromutilin tend to be efficacious against VRE_fm^17,18. To further verify this phenomenon, we compared the genomes of 79 global VRE_fm isolates (Supplementary Table 3) with 21 domestic ones, and found that the allelic profiles in China showed high genetic relationships with that in Europe and North America (Supplementary Fig. 1a). Notably, the vanA gene clusters are dominant (95%, 20/21) in 21 clinic VRE_fm isolates (Supplementary Fig. 1b), consisting with the vanA genotype most frequently recorded^11,13. To further assess the generality of collateral sensitivity in other van gene clusters, we found that a clinical vanB-type E. faecium isolate showed similar collateral patterns to five pleuromutilins (Supplementary Table 2). Then, we tested the activity of lefamulin against E. faecalis including vancomycin resistant/ sensitive isolates. In contrast to VRE_fm, vancomycin-resistant E. faecalis (VRE_fs) were resistant to lefamulin (Fig. 2c), implying the species specificity of collateral sensitivity in enterococci. The collateral pattern indicates the species-specific effect¹⁹, where the collateral sensitivity to pleuromutilins in VRE_fm is contingent upon the intrinsic genomics. It is consistent with previous studies^20,21 that the van gene clusters are located on pMG1-like and pheromone sensing plasmids in VRE_fm and VRE_fs, respectively. Additionally, the ubiquity of plasmid-encoded toxin-antitoxin gene systems may also account for the species-specific effect²². Collectively, it suggests that the antibiotic pairs of vancomycin and pleuromutilins exhibit ubiquitous collateral sensitivity in VRE_fm.

To further characterize the collateral response, we noticed the susceptibility of 210 E. faeciums isolates in four patterns that approx. 90% isolates (89/102) of VRE_fm display collateral sensitivity to pleuromutilins using lefamulin as a model (P_sV_r) (Fig. 2d). Intriguingly, we observed the contrary pattern of pleuromutilin susceptibility in VSE_fm, in which approx. 90% isolates (96/109) of VSE_fm were resistant to pleuromutilins (P_rV_s). Therefore, E. faecium shape the divergent evolution upon pleuromutilins to four patterns, including P_sV_r, P_sV_s, P_rV_s and P_rV_r, and in turn such contingency can be used to design rational approaches to treating the prevalent VRE_fm associated infections.

Heterogeneous collateral responses are channeled by ribosomes

The unique collateral sensitive antibiotics suggest that the interaction between pleuromutilins and the target may shed light on elucidating the evolutionary conservation in VSE_fm. First, lefamulin showed moderate bacteriostatic activity against VRE_fm at a high level (1.2 μg/mL, 40 × MIC) (Supplementary Fig. 3). Furthermore, we quantified the accumulation of lefamulin in eight E. faecium isolates including all four phenotypes of heterogeneous collateral responses and found no difference (Supplementary Fig. 5a, b). Last, we confirmed there was almost no further modifications for the accumulated lefamulin in E. faecium (Supplementary Fig. 5c–j). These data denote that the intrinsic properties of pleuromutilins should be excluded and the main target of pleuromutilins should eventually dominate the trajectory of collateral response in VRE_fm.

Pleuromutilins exhibit distinctive recognition to the peptidyl transferase center (PTC) by blocking bacterial protein biosynthesis¹⁶. Pleuromutilins mainly interact with eight nucleotides in the PTC domain. We first confirmed that there were no mutations at such sites in 20 VRE_fm and 20 VSE_fm isolates based on whole-genome sequence analysis (Fig. 4a, Supplementary Figs. 2c, 6b). Moreover, we found no genes such as cfr²³ encoding methyltransferases to confer universal resistance (Supplementary Fig. 7a–c). Interestingly, we found that pleuromutilins had a higher affinity to ribosomes in P_sV_r than P_rV_s type strains through fluorescence polarization analysis²⁴ (Supplementary Fig. 8a, b), implying that VRE_fm may modulate the susceptibility to pleuromutilins through the mechanism of ribosomal protection. The ATP-binding cassette F (ABC-F) protein family protects bacterial ribosomes from multiple classes of ribosome-targeting antibiotics²⁵. We found the presence of four prevailing genes (msrC, eatA/eatAv and lsaE) of the 26 members of the ABC-F family²⁶ in 40 E. faecium isolates (Supplementary Fig. 6b). Nevertheless, both lsaE and eatA/eatAv were partially carried by clinical isolates and expressed at similar levels in the presence and absence of pleuromutilins (Supplementary Fig. 9a, b). Extremely, we noticed that the species-specific gene msrC²⁷ expressed more than 70-fold higher in model strain VSE_fm CAU310 than VRE_fm CAU369 (Supplementary Fig. 9c), suggesting that the low expression of msrC may potentiate the efficacy of pleuromutilins. Meanwhile, we observed that the decreased transcription of msrC in two lefamulin sensitive VRE_fm isolates (Fig. 3a, Supplementary Fig. 10a) is in a dose-dependent manner of lefamulin. Furthermore, we found the increased transcription of msrC in all 12 lefamulin resistant isolates as well (Fig. 3b, Supplementary Figs. 10b, 11). Constantly, we obtained the increased expression of MsrC in a lefamulin resistant VRE_fm CAU378 treated with lefamulin for 1 h (Fig. 3c), based on proteomics analysis. Additionally, the MsrC overexpression strain was constructed in a pleuromutilins-sensitive strain using conjugative transformation (Supplementary Fig. 12a). We found that the conjugant (pAM401 + msrC) shows high expression of msrC and are resistant to all pleuromutilins (Supplementary Fig. 12b–d). Taken together, these results indicate that msrC is linked with the collateral sensitivity in VRE_fm.

**Fig. 3: Low expression of *msrC* is linked with collateral sensitivity.**

To explore how MsrC reduces the susceptibility to pleuromutilins, we performed a simulation analysis on the interaction between MsrC and the PTC domain²⁸. Compared to the affinity between pleuromutilins and PTC with Z-docker interaction energy of −146.324 kcal, the residues of R241 and L242, and K233 and K246 in MsrC competitively bound to the shared binding sites U2504 and C2063 of MsrC and lefamulin in PTC domain, respectively, with Z-docker interaction energy of −170.611 kcal (Fig. 3d). These findings indicate that high expression of species-specific MsrC tends to block pleuromutilins targeting PTC in VSE_fm, whereas the low expression of MsrC facilitate the binding of pleuromutilins in VRE_fm accordingly.

Epistasis between van gene clusters and msrC

To understand how msrC mediates collateral response in VRE_fm, we first observed the delayed growth curves of a constructed conjugant containing the vanA-plasmid from E. faecium CAU369 (pCAU369) in E. faecium BM4105-RF²⁰, in the presence of sub-inhibitory levels of lefamulin (Supplementary Fig. 14b, c). It suggested that the plasmid carrying the van gene cluster plays a crucial role in the increased susceptibility to pleuromutilins in VRE_fm. Subsequently, we showed that most van gene clusters are dominant vanA-type (95%, 19/20) (Supplementary Fig. 6b), consisting with previous reports that the increasing dissemination of vanA-VRE_fm is prevalent world widely, particularly in the U.S. and Europe^29,30. Therefore, we compared 14 plasmids containing vanA gene clusters in global E. faecium isolates (Supplementary Table 5) with that in E. faecium CAU369, and noticed only the vanA gene clusters were present in all isolates (Supplementary Fig. 13). Thus, we deduced that the vanA gene clusters (~ 6–7 kbp), instead of the other motifs in the vanA-type megaplasmids³¹ (~ 30–150 kbp), contribute to the collateral sensitivity to pleuromutilins in VRE_fm.

Given that the decreased expression of msrC in VRE_fm (Fig. 3a, Supplementary Fig. 9c), we hypothesized a negative feedback between msrC and the vanA gene clusters. To verify such epistasis, we found the sequence in the promoter of msrC shared high similarity (83.3%, 10/12) to the promoters of vanR/H/Y³² (Fig. 4a) and the promoters are conserved in both vanA- and vanB-type isolates globally (Supplementary Fig. 15), indicating that phosphorylated VanR may simultaneously induce van transcription but inhibit msrC transcription. Toward this goal, we exploited transcriptome analysis on VRE_fm treated with lefamulin. Remarkably, we observed vanRS activation and decreased msrC transcription in pleuromutilin-sensitive VRE_fm CAU369, whereas there was no vanS activation and 33.1% vanR transcription, and increased msrC transcription in pleuromutilin-resistant VRE_fm CAU378 (Supplementary Fig. 16). Consistently, we confirmed the opposite patterns of vanS and msrC transcription in pleuromutilin-resistant isolates under lefamulin treatments based on qRT-PCR and proteomics analysis (Fig. 4b–d, Supplementary Fig. 17a, b). To validate that vanR modulates msrC expression, we constructed a conjugant by receiving a recombinant vanRS plasmid in a pleuromutilin resistant E. faecium (Supplementary Fig. 18). The transcription of vanR and vanS were activated in a dose-dependent manner under lefamulin treatments (Supplementary Fig. 19a, b), in turn, the transcription of msrC in the conjugant (pAM401 + vanRS) was dramatically inhibited (Supplementary Fig. 19c). Correspondingly, the conjugant with vanRS expression is sensitive to pleuromutilins, with more than 16-fold decreased MICs (Supplementary Fig. 19d). These results support our hypothesis that the negative epistasis between the van gene cluster and msrC is responsible for the collateral sensitivity to pleuromutilins in VRE_fm.

**Fig. 4: Epistasis between the *van* gene cluster and *msrC*.**

To further verify that P-VanR regulates msrC transcription, we first demonstrated that P-VanR binds to the msrC promoter using electrophoretic mobility shift assay (Fig. 4e, f). Furthermore, we calculated the EC₅₀ (effective concentration for 50% response) as 1.01 μmol/L for P-VanR binding to the fragment of msrC promoter, which is much lower than the binding affinity between P-VanR and the vanH promoter (Fig. 4g). When in the presence of inducers such as classic vancomycin and lefamulin, VanS switches its activity from phosphatase to kinase, phosphorylating the cognate response regulator VanR³³. Phospho-VanR then binds to similar promoter sequences triggering the transcription of the van gene cluster, and inhibits msrC transcription to induce VRE_fm sensitive to pleuromutilins accordingly (Fig. 4h). Altogether, these results indicate that P-VanR co-regulates vanR/vanH and msrC by binding to similar promoter fragments, to facilitate pleuromutilins against VRE_fm.

In addition, antibiotic resistance/tolerance can be regulated by metabolic reprogramming^34,35, which, in principle, could boost the effectiveness of antibiotics, consistent with the observation that anaerobic glycolysis further exacerbated the growth of VRE_fm with vanA-plasmid in the presence of subinhibitory levels of lefamulin (Supplementary Fig. 14c). To test this possibility, we dissect whether metabolites modulate collateral response in VRE_fm. Since there is no Krebs cycle in enterococci³⁶, the dominant pyruvate metabolism kept steadily (Supplementary Fig. 21a–c). Considering the abundance of metabolic versatility and the challenge to genetically manipulate clinical isolates, its contribution to collateral sensitivity in most VRE_fm with mega-plasmids remains unclear.

Collateral sensitivity in vivo

Given that VRE usually resists multiple classes of antibiotics, we hypothesized that pleuromutilins might be used to treat VRE associated infections based on our observation. Lefamulin was recently approved in the U.S. and European Union for the treatment of CABP in adults. To further assess the efficacy of lefamulin, we empirically evaluated its efficacy in two mouse models including an intestinal colonization model (VRE_fm CAU369) and in a peritonitis-septicemia model in mice (VRE_fm CAU427) (Fig. 5a). First, we found that VRE_fm CAU369 mainly colonized in the cecum and colon with remarkably decreased bacterial burden after a single dose of lefamulin (Fig. 5b). Remarkably, lefamulin showed better antibacterial efficacy than linezolid, the only antibiotic with the U.S. Food and Drug Administration (FDA) approval for treating VRE infections, especially in the cecum and colon on the first day after administrations. Meanwhile, we collected daily the feces for bacterial counting. Compared to clinically recommended linezolid, lefamulin similarly produced time-dependent reduction in bacterial burden of feces over the 7-day treatment period (Fig. 5c). In addition, VRE_fm promptly dominated mouse gut microbiota after intragastric inoculum based on bacterial community analysis, whereas lefamulin administration notably reduced its abundance through the upregulated the genera of Akkermansia and Klebsiella (Fig. 5d). After 7 days, all mice nearly eliminated the pathogens and appeared healthy. Intriguingly, lefamulin could restore the homeostasis of fecal microbiota faster than the untreated group according to the Chao1 and Shannon indexes (Supplementary Fig. 22a, b), particularly the patterns of Bacteroides, Prevotella, Clostridium, and Escherichia/Shigella on the 7th day (Supplementary Fig. 22c–f). In the peritonitis-septicemia model, the survival curve showed that all mice survived under the treatment of a dose of 10 mg/kg lefamulin after 96 h (Fig. 5e), with reduced bacterial counts in organs (Fig. 5f). Altogether, our results suggest that lefamulin efficiently remedies the severity of VRE_fm infections, which may be extended to treat and diminish bacterial colonization since that there are limited effective agents available to treat such infections in clinic.

**Fig. 5: Efficacy of lefamulin against VRE_fm in vivo.**

For the foreseeable future, VRE especially VRE_fm will remain an important nosocomial problem^37,38, particularly the steady increase in the U.S. since the early 1990s in hospitals¹¹. Because VRE_fm has developed resistance to essentially every antibiotic used in clinic, novel therapeutic strategies to explore collateral sensitivity may be attempted. A better understanding of the evolutionary biology particularly epistasis by which the van genes manipulate ribosome protection could shed light on intervention strategies against VRE_fm pathogens. Notably, plasmid mediated epistasis is not restricted to E. faecium, and we postulate that such collateral response may be widespread phenomenon in other bacteria. Mobile plasmids drive the spread of many critical antibiotic resistance genes in clinical pathogens³⁹. Most recently, it has been demonstrated the collateral sensitivity associated with transferable plasmids in clinical E. coli isolates⁴⁰, compared to previous empirical observations and mutations in chromosome and plasmids^5,6,7,8,9. Our results suggest that the evolutionally collateral response has already dominated the prevalent VRE_fm carrying conjugative plasmids (Supplementary Fig. 14a). To argue for preclinical development of pleuromutilins as leads against VRE_fm, continued studies should further focus on the evaluation whether pleuromutilins reduce VRE_fm colonization in patients and maintain microbiota recovery after its expansion.

In conclusion, our results demonstrate the epistasis between van genes and msrC mediating collateral sensitivity in most clinically relevant VRE_fm strains, to potentiate the efficacy of pleuromutilins. These observations in vitro and in vivo provide proof-of-concept for an efficient therapeutic option against the increasingly aggravating VRE_fm associated infections by revitalizing existing antibiotics. Pleuromutilins not only exhibit robust bacteriostatic activity against clinical isolates nationwide but also attenuate the colonization possibly improving clinical outcomes. Overall, our work expands the knowledge of evolutionary compensatory phenomenon for the implementation of existing antibiotics to combat MDR bacterial pathogens.

Methods

Antimicrobial-susceptibility test

Minimum inhibitory concentrations (MICs) of antibiotics were performed using the standard broth microdilution method, according to the CLSI 2020 guideline. Briefly, single bacterial colonies (including E. faecalis ATCC 29212 and 210 E. faeciums isolates) were cultured in Mueller Hinton Broth (MHB) at 37 °C at 220 r.p.m. for 8–12 h. Subsequently, antibiotics with two-fold dilution in MHB were mixed with an equal volume of bacterial suspensions in MHB containing approximately 1.5 × 10⁶ colony-forming units (CFUs)/mL in a clear UV-sterilized 96-well microtiter plate. The plate was placed in the incubator for 16–18 h at 37 °C and then the MIC values were read. MIC values were defined as the lowest concentrations of antibiotics with no visible growth of bacteria.

Time-dependent killing assay

An overnight culture of VRE_fm CAU369 was diluted 1:100 in MHB and incubated at 37 °C, 200 r.p.m. for 4 h, to obtain bacteria at exponential phase. Then the bacterial suspension was challenged with lefamulin at 4 × MIC, 10 × MIC and 40 × MIC. Subsequently, 10-fold serially diluted suspensions were plated on BHI agar plates for overnight incubation at 37 °C. Finally, colonies were counted and CFUs per mL were calculated accordingly.

Membrane integrity assay

An overnight culture of VRE_fm CAU369 were inoculated in 0.01 M phosphate-buffered saline (PBS) (pH 7.4) to adjust bacterial suspensions to approximately an OD600 of 0.5, following by the addition of propidium iodide (PI) to a final concentration of 10 nM, then treated with lefamulin and linezolid at the levels of 1 × MIC, 5 × MIC and 10 × MIC for 34 min after centrifugation. The fluorescence was measured at the excitation wavelength of 535 nm and emission wavelength of 615 nm in two-min intervals using the Infinite M200 Microplate reader (Tecan).

Membrane fluidity assay

An overnight culture of VRE_fm CAU369 was incubated with 10 µM Laurdan at 37 °C for 20 min in the dark. The stained bacterial cell was washed with PBS for three times. Then, 190 µL of the culture was mixed with 10 μL of PBS containing lefamulin at the level of 1 × MIC, 5 × MIC and 10 × MIC in the black, clear-bottom, 96-well plates. Benzyl alcohol (50 mM) was used as a positive control. Last, the fluorescence intensities of Laurdan were measured at the excitation wavelength of 350 nm and emission wavelengths of 435 nm and 490 nm in two-min intervals using the Infinite M200 Microplate reader (Tecan). The Laurdan GP was calculated using the formula GP = (I₄₃₅− I₄₉₀)/ (I₄₃₅ + I₄₉₀).

ROS measurement

An overnight culture VRE_fm CAU369 grown from a single colony in Brain Heart Infusion (BHI) broth were washed and resuspended in 0.01 M of PBS (pH 7.4) to obtain an OD600 of 0.5. Subsequently, 2′,7′-dichlorofluorescein diacetate (DCFH-DA) was added to a final concentration of 10 μM and the mixture was incubated at 37 °C for 30 min. After washing with 0.01 M of PBS for three times, 190 μl of probe-labeled bacterial cells were added to a 96-well plate treated with 10 μl of lefamulin at the level of 1 × MIC, 5 × MIC and 10 × MIC. After incubation for another 30 min, fluorescence intensity was immediately measured with the excitation wavelength at 488 nm and the emission wavelength at 525 nm in two-min intervals using the Infinite M200 Microplate reader (Tecan).

Membrane depolarization assay

An overnight culture of VRE_fm CAU369 bacterial cells were washed and resuspended to obtain an OD600 of 0.5 with 5 mM of HEPES (pH 7.0, + 5 mM of glucose). Then 3,3-dipropylthiadicarbocyanine iodide DiSC3(5) (Aladdin, ≥98%, 1 μM) was added. The dissipated membrane potential of VRE_fm CAU369 in the presence and absence of lefamulin at the level of 1 × MIC, 5 × MIC and 10 × MIC were measured at the excitation wavelength of 622 nm and emission wavelength of 670 nm using the Infinite M200 Microplate reader (Tecan).

△pH measurement

△pH was measured in the presence of pH-sensitive fluorescent probe BCECF-AM (10 μM). An overnight culture of VRE_fm CAU369 bacterial cells treated with lefamulin at the level of 1 × MIC, 5 × MIC and 10 × MIC were measured at the excitation wavelength of 500 nm and emission wavelength of 522 nm for 40 min, using the Infinite M200 Microplate reader (Tecan).

ATP determination

Extracellular and intracellular levels of ATP were determined using an Enhanced ATP Assay Kit (Beyotime). VRE_fm CAU369 grown overnight at 37 °C with shaking at 200 r.p.m. were washed and resuspended to obtain an OD600 of 0.5 with 0.01 M of PBS (pH 7.4). After treatment with 1 × MIC, 5 × MIC and 10 × MIC lefamulin for 1 h, bacterial cultures were centrifuged at 12,000 r.p.m. and 4 °C for 5 min, and the supernatants were collected for the determination of extracellular ATP levels. Meanwhile, bacterial precipitates were lysed by lysozyme, and centrifuged, then the supernatants were prepared for the measurement of intracellular ATP levels. The detecting solution was added to a 96-well plate and incubated at room temperature for another 5 min. Last, the supernatants were added to the well and mixed quickly, before recording in the model of luminescence using the Infinite M200 Microplate reader (Tecan).

Antibiotic accumulation test

The accumulation of intracellular antibiotics in bacteria was determined based on the established liquid chromatography with tandem mass spectrometry (LC-MS/MS) method⁴¹. Overnight cultures of bacterial cells (VRE_fm CAU369, VRE_fm CAU372, VRE_fm CAU378, VRE_fm CAU419, VSE_fm CAU259, VSE_fm CAU277, VRE_fm CAU309, VRE_fm CAU310, S. aureus 29213, MASA T144, E. faecalis 29212, VRE CAU 475) were diluted to 100 mL fresh BHI broth at 1:100 and resuspended to OD600 of 0.5 at 37 °C. Bacteria were then centrifuged at 3,000 g for 10 mins at 4 °C and the supernatants were collected for three times. Subsequently, bacterial cells were diluted to 10¹⁰ CFU per mL with fresh PBS and aliquoted in 1.5 mL tubes. The aliquots were treated with subinhibitory levels of lefamulin at 37 °C for 1 h and the samples were collected to destroy the cell envelopes for LC-MS/MS analysis (Waters 2695). Additionally, structure elucidation of accumulated lefamulin in four phenotypes of E. faeciums isolates were based on UHPLC-Q-Orbitrap analysis (UHPLC-Q-Exactive Plus, Thermo Fisher Scientific). Extracted ion chromatogram of lefamulin obtained in the positive ESI mode at retention time of 7.08 min. Elucidation of lefamulin and its product ions based on the molecular weights of m/z 508.31 (lefamulin), and product ions of m/z 188.07 and 206.08.

Whole-genome sequencing

Genomic DNA were extracted from the overnight culture of E. faeciums (including 20 VRE_fm and 20 VSE_fm) isolates in BHI, according to the manufacturer instructions (Genome Extraction Kit, Magen). Obtained DNA was sequenced by Illumina Seq and the whole-genomes were aligned with the resistance gene database from the Center for Genomic Epidemiology (CGE).

Molecular simulation

Models of the complexes of lefamulin-ribosome and MsrC- ribosome were built on Discovery Studio 2018 Client. The model of MsrC was generated using the sequence from VRE_fm CAU369. The receptor-ligand interaction and the Z-Docker reaction energy in the 50S and 30S subunits, and tRNA were performed according to a previous study²⁸.

Methylation modification analysis

Methylation modification analysis is based on the SELECT approach according to a previous study⁴². Briefly, total RNA (1500 ng) was mixed with 40 nM up primer, 40 nM down primer and 5 M dNTP in 17 μL CutSmart buffer. SELECT qPCR was performed with the following program: 90 °C for 1 min, 80 °C for 1 min, 70 °C for 1 min, 60 °C for 1 min, 50 °C for 1 min and 40 °C for 6 min. Afterward, the qRT-PCR was performed using SYBR premix Ex Taq qPCR Kit (TaKaRa). qRT-PCR was performed with the following program: 95 °C, 5 min; 95 °C, 10 s then 60 °C, 35 s for 40 cycles; 95 °C, 15 s; 60 °C, 1 min; 95 °C, 15 s. Primers for SELECT qPCR or qRT-PCR are listed in Table S6, respectively. Ct values of samples were normalized to their corresponding Ct values of control. All assays were performed with three independent experiments.

Fluorescence polarization assay

The fluorescence polarization value (FP value) was detected as described previously⁴³. Briefly, the assay was conducted by adding 70 μL per well of VAL-DTAF (valnemulin-([4,6-dichlorotriazine-2-yl] amino)-fluorescein) tracer working solution at 0.5 μM and 70 μL per well of prepared ribosome at the level 0–2 nM to the microplate, followed by the addition of 70 μL per well of liquid A buffer (10 mM Tris [pH 7.5], 60 mM KCl, 10 mM NH₄Cl, 300 mM NaCl, 6 mM MgCl₂, 0.1 mM ATP). After the mixture was shaken for 10 s in the microplate reader, FP values were measured with the excitation wavelength at 485 nm and the emission wavelength at 530 nm using the Infinite M200 Microplate reader (Tecan).

Growth dynamics

Overnight cultures of E. faeciums BM4105-RF and conjugant BM369-1 grown from a single colony in BHI broth were diluted 1:100 in MHB and made the final concentration approximately 1× 10⁶ CFU per mL. Lefamulin (1/8 × MIC, 1/4 × MIC, 1/2 × MIC and 1 × MIC) was added into 96 well microplates and mixed with an equal volume of cultures. Growth curves were established by OD600 determination with an interval of 1 h at 37 °C, by Infinite M200 Microplate reader (Tecan).

Conjugation assay

Filter mating was performed using VRE_fm CAU369 as the donor and E. faecium BM4105 (resistant to rifampicin and fusidic acid) as the recipient, according to previous study²². The mating mixtures of donor and recipient were filtered through a sterile membrane filter (pore size, 0.45 μm). The filters were incubated on BHI agar plates for 24 h at 37 °C. After mating, the conjugants were selected on BHI agar containing rifampin (100 μg/mL), fusidic acid (20 μg/mL) and vancomycin (20 μg/mL) after incubated at 37 °C for 24–48 h.

msrC overexpression mutant

The msrC overexpression mutant was constructed based on a modified conjugative transformation assay, according to previous study²². The overexpression plasmid pAM401+msrC was recombined by the linearized pAM401 and the amplification of msrC sequence. msrC gene was amplified from the genome of E. faecium BM4105 by PCR reaction. The overexpression plasmid pAM401+msrC was transferred into E. faecalis JH2-2. Filter mating was performed using E. faecalis JH2-2 (pAM401 + msrC) as the donor and E. faecium GE-1 as the recipient. After mating, the conjugants were selected on BHI agar containing chloramphenicol (50 μg/mL) and arabinose after incubated at 37 °C for 24–48 h.

Isogenic mutant constuaction

The vanRS isogenic mutant was constructed based on a modified conjugative transformation assay, according to previous study²². The plasmid pAM401+vanRS was recombined by the linearized pAM401 and the amplification of vanRS sequence. vanRS gene was amplified from the genome of VRE_fm CAU369 by PCR reaction. The plasmid pAM401+vanRS was transferred into E. faecalis JH2-2. Filter mating was performed using E. faecalis JH2-2 (pAM401 + vanRS) as the donor and E. faecium BM4105 as the recipient. After mating, the conjugants were selected on BHI agar containing chloramphenicol (50 μg/mL) and arabinose after incubated at 37 °C for 24–48 h.

qRT-PCR assay

An overnight culture of VRE_fm CAU369 was diluted 1:100 in BHI and incubated at 37 °C, 200 r.p.m. for 4 h. Bacteria were obtained at exponential phase and treated with or without lefamulin and vancomycin (0.5 × MIC, 1 × MIC, 10 × MIC) for 1 h at 37 °C. Total RNA was extracted using the EASYspin Plus kit (Aidlab, cat. RN4301) and quantified by the ratio of absorbance (260 nm/280 nm) using a Nanodrop spectrophotometer (Thermo Scientific, MA, USA). The qRT-PCR was performed using SYBR premix Ex Taq qPCR Kit (TaKaRa, catalog no. RR820A). Cycling conditions consisted of an initial denaturation step at 95 °C for 30 s, followed by 40 cycles at 95 °C for 5 s, 60 °C for 30 s, and 72 °C for 30 s. All samples were analyzed in triplicate and the gene 16 S rRNA was used as an endogenous control as described in our previous publication⁴⁴. The fold changes of gene expression were analyzed by 2^−∆∆CT method. Genes names and primer sequences used in the qRT-PCR analysis are listed in Table S7. GraphPad Prism 8 was used to plot graphs

Transcriptome analysis

Overnight cultures (VRE_fm CAU369 and VRE_fm CAU378) were diluted 1:100 in BHI and incubated at 37 °C, 200 r.p.m. for 4 h, to obtain bacteria at exponential phase. Then the bacterial suspensions were treated with lefamulin at the level of 1 × MIC and 10 × MIC for 15 min and 1 h. Then the bacteria were washed with fresh PBS (0.01 M, pH 7.4) three times and the bacterial cells were spun down by centrifuging at 8,000 r.p.m. for 10 min at 4 °C. RNA-Seq library building and RNA-seq data analysis are described as described previously⁴⁵.

Metabolomics analysis

Metabolomics were determined based on UPLC-QTOF MS analysis. Overnight cultures (VRE_fm CAU369 and VSE_fm CAU309) grown in BHI broth were harvested and washed with 0.01 M PBS (pH 7.4) three times. Then, approximately 50 mg precipitation of bacteria was mixed with 0.5 mL 80% methanol containing 0.1% formic acid (FA). After shaking for 30 s and ultrasonic treatment for 20 min, all samples were frozen for 1 h at −20 °C for protein precipitation. The samples were then centrifuged at 10,000 × g and 4 °C for 10 min and the supernatant (200 μL) was obtained. (O)PLS-DA (Orthogonal signal correction partial least square discrimination analysis) was performed and VIP (variable importance in projection) was calculated by MetaboAnalyst 4.0 and R project.

Proteomics analysis

Overnight cultures VRE_fm CAU378 were diluted 1:100 in BHI and incubated at 37 °C, 200 r.p.m. for 4 h, to obtain bacteria at exponential phase. Then the bacterial suspension were treated with lefamulin at the level of 1 × MIC and 10 × MIC for 1 h. Then cells were lysed and the protein was reduced and alkylated by heating at 95 °C for 5 min followed by sonication for 20 min. The resulting mixture was diluted 10 times with the dilution buffer composed of 25 mM Tris–HCl (pH 8.5) and 10% acetonitrile (ACN) and the protein was digested with trypsin at 37 °C overnight. After digestion, the total protein was acidated with 5% TFA and loaded onto a C18-column which had been pretreated and equili- brated with methanol and 0.2% acetic acid respectively. For MS analysis, total peptides were dissolved in 0.1% FA and analyzed by Orbitrap Fusion Lumos mass spectrometer (Thermo Scientific). Raw data were processed with PD software package against the sequence data of VRE_fm.

Electrophoretic mobility shift assay

VanR purified and P-VanR prepared according to a previously described protocol⁴⁶. Binding reactions between P-VanR (12–1.5 μM) and msrC promoter fragment (212-bp, 0.3 ng) based on the gel electrophoretic mobility shift assay. Briefly, P-VanR was incubated with different concentrations. After 15 min incubation, the reaction mixture was subjected to 5% nondenaturing polyacrylamide gel and electrophoresis was performed at 80 V in ice-cold bath. The images were visualized and acquired by the PharosFX imaging system (Bio-Rad, CA, USA).

Intestinal colonization model

To evaluate the in vivo efficacy of lefamulin, a mouse intestinal colonization model was involved according to a previous publication⁴⁴. Briefly, 6–8 weeks old female ICR mice (20 g, n = 6 per group) were treated with PBS, lefamulin and linezolid. First, mice were administered 0.5 g per L ampicillin in drinking water for 5 days. On day 0, mice were infected with VRE_fm CAU369 (1 × 10⁹ CFUs) by gavage. After the treatments with drugs, CFUs of VRE_fm CAU369 were enumerated in the feces from 1 to 7 days. Meanwhile, intestinal contents (including ileum, cecum and colon) were collected on the first and seventh day for bacterial counting and the evaluation of the abundance and diversity of intestinal flora, using a previously described method⁴⁴. The alpha analysis and the beta diversity analysis were performed based on PCoA/NMDS analysis. GraphPad Prism 8 was used to plot graphs

Mouse peritonitis-septicemia model

To construct an immunosuppressive mice model, the 6–8 weeks old ICR female mice (20 g, n = 6 per group, 18 mice were used in total) were treated with 200 mg/kg cyclophosphamide intraperitoneally at the 1^st day and 3^rd day. After the second cyclophosphamide was treated for 24 h, mice were infected with 0.5 mL of VRE_fm CAU427 suspension (1 × 10¹⁰ CFU per mouse) via intraperitoneal injection. At 1 h post-infection, all mice were treated with lefamulin and linezolid with 10 mg/kg every 24 h. PBS was used as the negative control. The survival rates of treated mice were recorded during a 96 h period and the bacterial number in the mice organs was counted on the plates.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

DNA and RNA sequencing data are available in NCBI SRA with accession number PRJNA628015. The MS raw files and proteome sequences data used in this study are available in the Proteome Xchange Consortium under accession code PXD030906. The metabolomic data have been deposited in the CNCB-NGDC repository under accession code PRJCA008528 and in MetaboLights under submission code MTBLS4498. Other data generated in this study are provided in the Supplementary Information and the Source Data file. Source data are provided with this paper.

References

Theuretzbacher, U. et al. Critical analysis of antibacterial agents in clinical development. Nat. Rev. Microbiol 18, 286–298 (2020).
Article CAS PubMed Google Scholar
Culp, E. J. et al. Evolution-guided discovery of antibiotics that inhibit peptidoglycan remodelling. Nature 578, 582–587 (2020).
Article ADS CAS PubMed Google Scholar
Nichol, D. et al. Antibiotic collateral sensitivity is contingent on the repeatability of evolution. Nat. Commun. 10, 334 (2019).
Article ADS PubMed PubMed Central Google Scholar
Baym, M., Stone, L. K. & Kishony, R. Multidrug evolutionary strategies to reverse antibiotic resistance. Science 351, aad3292 (2016).
Article PubMed PubMed Central Google Scholar
Pal, C., Papp, B. & Lazar, V. Collateral sensitivity of antibiotic-resistant microbes. Trends Microbiol. 23, 401–407 (2015).
Article CAS PubMed PubMed Central Google Scholar
Lázár, V. et al. Antibiotic-resistant bacteria show widespread collateral sensitivity to antimicrobial peptides. Nat. Microbiol 3, 718–731 (2018).
Article PubMed PubMed Central Google Scholar
Imamovic, L. et al. Drug-driven phenotypic convergence supports rational treatment strategies of chronic infections. Cell 172, 121–134 (2018).
Article CAS PubMed PubMed Central Google Scholar
Gonzales, P. R. et al. Synergistic, collaterally sensitive beta-lactam combinations suppress resistance in MRSA. Nat. Chem. Biol. 11, 855–861 (2015).
Article CAS PubMed PubMed Central Google Scholar
Harrison, E. M. et al. Genomic identification of cryptic susceptibility to penicillins and beta-lactamase inhibitors in methicillin-resistant Staphylococcus aureus. Nat. Microbiol 4, 1680–1691 (2019).
Article CAS PubMed PubMed Central Google Scholar
Liu, J. F. et al. Effect of tolerance on the evolution of antibiotic resistance under drug combinations. Science 367, 200–204 (2020).
Article ADS CAS PubMed Google Scholar
Arias, C. A. & Murray, B. E. The rise of the Enterococcus: beyond vancomycin resistance. Nat. Rev. Microbiol. 10, 266–278 (2012).
Article CAS PubMed PubMed Central Google Scholar
Antibiotic resistance threats in the United States, 2019. (Atlanta, GA: U.S. Department of Health and Human Services, CDC; 2019. https://stacks.cdc.gov/view/cdc/82532/CS298822-B-2019-ar-threats-report-508.pdf).
Werner, G. et al. Thirty years of VRE in Germany - “expect the unexpected”: the view from the national reference centre for Staphylococci and Enterococci. Drug. Resist. Updat. 53, 100732 (2020).
Article PubMed Google Scholar
Andersson, D. I. & Hughes, D. Antibiotic resistance and its cost: is it possible to reverse resistance? Nat. Rev. Microbiol 8, 260–271 (2010).
Article CAS PubMed Google Scholar
Alexander, E. et al. Oral lefamulin vs moxifloxacin for early clinical response among adults with community-acquired bacterial pneumonia: the LEAP₂ randomized clinical trial. JAMA 322, 1661–1671 (2019).
Article CAS PubMed PubMed Central Google Scholar
Lin, J., Zhou, D. J., Steitz, T. A., Polikanov, Y. S. & Gagnon, M. G. Ribosome-targeting antibiotics: modes of action, mechanisms of resistance, and implications for drug design. Annu. Rev. Biochem. 87, 451–478 (2018).
Article CAS PubMed Google Scholar
Sader, H. S., Biedenbach, D. J., Paukner, S., Ivezic-Schoenfeld, Z. & Jones, R. N. Antimicrobial activity of the investigational pleuromutilin compound BC-3781 tested against Gram-positive organisms commonly associated with acute bacterial skin and skin structure infections. Antimicrob. Agents Chemother. 56, 1619–1623 (2012).
Article CAS PubMed PubMed Central Google Scholar
Paukner, S. & Riedl, R. Pleuromutilins: potent drugs for resistant bugs-mode of action and resistance. Cold Spring Harb. Perspect. Med 7, a027110 (2017).
Article PubMed PubMed Central Google Scholar
Apjok, G. et al. Limited evolutionary conservation of the phenotypic effects of antibiotic resistance mutations. Mol. Biol. Evol. 36, 1601–1611 (2019).
Article CAS PubMed PubMed Central Google Scholar
Tomita, H. et al. Highly conjugative pMG1-like plasmids carrying Tn1546-like transposons that encode vancomycin resistance in Enterococcus faecium. Bacteriol 185, 7024–7028 (2003).
Article CAS Google Scholar
Tanimoto, K. & Ike, Y. Complete nucleotide sequencing and analysis of the 65-kb highly conjugative Enterococcus faecium plasmid pMG1: identification of the transfer-related region and the minimum region required for replication. FEMS Microbiol. Lett. 288, 186–195 (2008).
Article CAS PubMed Google Scholar
Moritz, E. M. & Hergenrother, P. J. Toxin-antitoxin systems are ubiquitous and plasmid-encoded in vancomycin-resistant enterococci. Proc. Natl Acad. Sci. USA 104, 311–316 (2007).
Article ADS CAS PubMed Google Scholar
Liu, Y. et al. First report of the multidrug resistance gene cfr in Enterococcus faecalis of animal origin. Antimicrob. Agents Chemother. 56, 1650–1654 (2012).
Article CAS PubMed PubMed Central Google Scholar
Chen, Y., Fu, Z., Li, D., Yue, Y. & Liu, X. Optimizations of a novel fluorescence polarization-based high-throughput screening assay for beta-catenin/LEF1 interaction inhibitors. Anal. Biochem 612, 113966 (2021).
Article CAS PubMed Google Scholar
Wilson, D. N., Hauryliuk, V., Atkinson, G. C. & O’Neill, A. J. Target protection as a key antibiotic resistance mechanism. Nat. Rev. Microbiol 18, 637–648 (2020).
Article CAS PubMed Google Scholar
Sharkey, L. K., Edwards, T. A. & O’Neill, A. J. ABC-F Proteins mediate antibiotic resistance through ribosomal protection. mBio 7, e01975 (2016).
Article CAS PubMed PubMed Central Google Scholar
Singh, K. V., Malathum, K. & Murray, B. E. Disruption of an Enterococcus faecium species-specific gene, a homologue of acquired macrolide resistance genes of Staphylococci, is associated with an increase in macrolide susceptibility. Antimicrob. Agents Chemother. 45, 263–266 (2001).
Article CAS PubMed PubMed Central Google Scholar
Su, W. X. et al. Ribosome protection by antibiotic resistance ATP-binding cassette protein. Proc. Natl Acad. Sci. USA 115, 5157–5162 (2018).
Article ADS CAS PubMed PubMed Central Google Scholar
Gao, W., Howden, B. P. & Stinear, T. P. Evolution of virulence in Enterococcus faecium, a hospital-adapted opportunistic pathogen. Curr. Opin. Microbiol 41, 76–82 (2018).
Article PubMed Google Scholar
Harten, R. M. V., Willems, R. J. L., Martin, N. I. & Hendrickx, A. P. A. Multidrug-resistant enterococcal infections: new compounds, novel antimicrobial therapies? Trends Microbiol 25, 467–479 (2017).
Article PubMed Google Scholar
Wardal, E. et al. Diversity of plasmids and Tn1546-type transposons among vanA Enterococcus faecium in Poland. Eur. J. Clin. Microbiol. Infect. Dis. 36, 313–328 (2017).
Article CAS PubMed Google Scholar
Holman, T. R., Wu, Z., Wanner, B. L. & Walsh, C. T. Identification of the DNA-binding site for the phosphorylated VanR protein required for vancomycin resistance in Enterococcus faecium. Biochemistry 33, 4625–4631 (1994).
Article CAS PubMed Google Scholar
Novotna, G. B., Kwun, M. J. & Hong, H. J. In vivo characterization of the activation and interaction of the VanR-VanS two-component regulatory system controlling glycopeptide antibiotic resistance in two related streptomyces species. Antimicrob. Agents Chemother. 60, 1627–1637 (2015).
Article PubMed Google Scholar
Lopatkin, A. J. et al. Clinically relevant mutations in core metabolic genes confer antibiotic resistance. Science 371, eaba0862 (2021).
Article CAS PubMed PubMed Central Google Scholar
Zampieri, M., Zimmermann, M., Claassen, M. & Sauer, U. Nontargeted metabolomics reveals the multilevel response to antibiotic perturbations. Cell Rep. 19, 1214–1228 (2017).
Article CAS PubMed Google Scholar
Kawai, Y. et al. Crucial role for central carbon metabolism in the bacterial L-form switch and killing by beta-lactam antibiotics. Nat. Microbiol 4, 1716–1726 (2019).
Article CAS PubMed PubMed Central Google Scholar
Stein-Thoeringer, C. K. et al. Lactose drives Enterococcus expansion to promote graft-versus-host disease. Science 366, 1143–1149 (2019).
Article ADS CAS PubMed PubMed Central Google Scholar
Kim, S. G. et al. Microbiota-derived lantibiotic restores resistance against vancomycin-resistant Enterococcus. Nature 572, 665–669 (2019).
Article ADS CAS PubMed PubMed Central Google Scholar
MacLean, R. C. & Millan, A. S. The evolution of antibiotic resistance. Science 365, 1082–1083 (2019).
Article ADS CAS PubMed Google Scholar
Herencias, C. et al. Collateral sensitivity associated with antibiotic resistance plasmids. eLife 10, e65130 (2021).
Article CAS PubMed PubMed Central Google Scholar
Li, Y. et al. Efficient killing of multidrug-resistant internalized bacteria by AIEgens in vivo. Adv. Sci. 8, 2001750 (2021).
Article CAS Google Scholar
Wang, Y. et al. LEAD-m(6) A-seq for Locus-Specific Detection of N(6) - Methyladenosine and quantification of differential methylation. Angew. Chem. Int Ed. Engl. 60, 873–880 (2020).
Article PubMed PubMed Central Google Scholar
Li, C. L. et al. Development of a screening fluorescence polarization immunoassay for the simultaneous detection of fumonisins B(1) and B(2) in maize. Agric Food Chem. 63, 4940–4946 (2015).
Article CAS Google Scholar
Kim, S. G. et al. Microbiota-derived lantibiotic restores resistance against vancomycin-resistant. Enterococcus. Nature 572, 665–669 (2019).
Article CAS PubMed Google Scholar
Song, M. R. et al. A broad-spectrum antibiotic adjuvant reverses multidrug-resistant gram-negative pathogens. Nat. Microbiol 5, 1040–1050 (2020).
Article CAS PubMed Google Scholar
Kim, S. G. et al. Identification of the DNA-binding site for the phosphorylated VanR protein required for vancomycin resistance in Enterococcus faecium. Biochemistry 33, 4625–4631 (1994).
Article Google Scholar

Download references

Acknowledgements

This work is dedicated to Prof. S.Y. Ding for her retirement. We thank all patients for clinical VRE_fm isolates in China. This study is supported by the Guangdong Major Project of Basic and Applied Basic Research (2020B0301030007), National Natural Science Foundation of China (31922083), Beijing Municipal Science and Technology (Z201100008920001), and Chinese Universities Scientific Fund (2021RC005).

Author information

These authors contributed equally: Qian Li, Shang Chen.

Authors and Affiliations

National Center for Veterinary Drug Safety Evaluation, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
Qian Li, Shang Chen, Kui Zhu, Yucheng Huang, Zhangqi Shen & Jianzhong Shen
Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Laboratory of Quality & Safety Risk Assessment for Animal Products on Chemical Hazards (Beijing), Ministry of Agriculture and Rural Affairs, Beijing, 100193, China
Kui Zhu, Shuangyang Ding & Jianzhong Shen
Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, China
Xiaoluo Huang
Centre of Laboratory Medicine, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, 310014, China
Danxia Gu
Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
Qiwen Yang & Hongli Sun
Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, 200040, China
Fupin Hu
Department of Clinical Laboratory, Peking University People’s Hospital, Beijing, 100044, China
Hui Wang
Department of Clinical Laboratory, Second Affiliated Hospital of Zhejiang University, School of Medicine, Zhejiang, Hangzhou, 310009, China
Jiachang Cai & Rong Zhang
Clinical Laboratory, Medicine Department, Henan Provincial People’s Hospital, Zhengzhou, 450003, China
Bing Ma

Authors

Qian Li
View author publications
You can also search for this author in PubMed Google Scholar
Shang Chen
View author publications
You can also search for this author in PubMed Google Scholar
Kui Zhu
View author publications
You can also search for this author in PubMed Google Scholar
Xiaoluo Huang
View author publications
You can also search for this author in PubMed Google Scholar
Yucheng Huang
View author publications
You can also search for this author in PubMed Google Scholar
Zhangqi Shen
View author publications
You can also search for this author in PubMed Google Scholar
Shuangyang Ding
View author publications
You can also search for this author in PubMed Google Scholar
Danxia Gu
View author publications
You can also search for this author in PubMed Google Scholar
Qiwen Yang
View author publications
You can also search for this author in PubMed Google Scholar
Hongli Sun
View author publications
You can also search for this author in PubMed Google Scholar
Fupin Hu
View author publications
You can also search for this author in PubMed Google Scholar
Hui Wang
View author publications
You can also search for this author in PubMed Google Scholar
Jiachang Cai
View author publications
You can also search for this author in PubMed Google Scholar
Bing Ma
View author publications
You can also search for this author in PubMed Google Scholar
Rong Zhang
View author publications
You can also search for this author in PubMed Google Scholar
Jianzhong Shen
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

J.Z.S. and K.Z. conceived and supervised the project. Q.L. and S.C. performed all the experiments. Q.L. and Y.C.H. conducted the antibacterial tests and animal infection model. S.C. and Q.L. conducted outer-membrane permeability, membrane depolarization, ATP and ROS assays, and membrane fluidity assay. Q.L. performed the transcriptome assay. Z.Q.S., S.Y.D., R.Z., and K.Z. did the data analysis. R.Z., D.X.G., Q.W.Y., H.L.S., F.P.H., H.W., J.C.C. and B.M. shared the clinical VRE_fm isolates in this study. Q.L., S.C. and K.Z. wrote the manuscript. All authors read and approved the manuscript.

Corresponding authors

Correspondence to Kui Zhu, Rong Zhang or Jianzhong Shen.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Communications ature Communicationson: aria Van Tyne for their contribution to the peer review of this work. Peer reviewer reports are available.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

supplementary information

Reporting Summary

Peer Review File

Source data

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Li, Q., Chen, S., Zhu, K. et al. Collateral sensitivity to pleuromutilins in vancomycin-resistant Enterococcus faecium. Nat Commun 13, 1888 (2022). https://doi.org/10.1038/s41467-022-29493-0

Download citation

Received: 30 May 2021
Accepted: 17 March 2022
Published: 07 April 2022
DOI: https://doi.org/10.1038/s41467-022-29493-0
Springer Nature Limited

This article is cited by

Cathelicidin AS-12W Derived from the Alligator sinensis and Its Antimicrobial Activity Against Drug-Resistant Gram-Negative Bacteria In Vitro and In Vivo
- Meina Zhang
- Jian Wang
- Lingman Ma
Probiotics and Antimicrobial Proteins (2024)

Collateral sensitivity to pleuromutilins in vancomycin-resistant Enterococcus faecium

Abstract

Similar content being viewed by others

Introduction

Results and discussion

VREfm show collateral sensitivity to pleuromutilins

Heterogeneous collateral responses are channeled by ribosomes

Epistasis between van gene clusters and msrC

Collateral sensitivity in vivo

Methods

Antimicrobial-susceptibility test

Time-dependent killing assay

Membrane integrity assay

Membrane fluidity assay

ROS measurement

Membrane depolarization assay

△pH measurement

ATP determination

Antibiotic accumulation test

Whole-genome sequencing

Molecular simulation

Methylation modification analysis

Fluorescence polarization assay

Growth dynamics

Conjugation assay

msrC overexpression mutant

Isogenic mutant constuaction

qRT-PCR assay

Transcriptome analysis

Metabolomics analysis

Proteomics analysis

Electrophoretic mobility shift assay

Intestinal colonization model

Mouse peritonitis-septicemia model

Reporting summary

Data availability

References

Acknowledgements

Author information

Authors and Affiliations

Contributions

Corresponding authors

Ethics declarations

Competing interests

Peer review

Peer review information

Additional information

Supplementary information

Source data

Rights and permissions

About this article

Cite this article

Share this article

This article is cited by

Search

Navigation

VRE_fm show collateral sensitivity to pleuromutilins