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. 2023 Feb 3;13:1969. doi: 10.1038/s41598-023-28740-8

Self-association of the glycopeptide antibiotic teicoplanin A2 in aqueous solution studied by molecular hydrodynamics

Taewoo Chun 1, Jacob Pattem 1,2, Richard B Gillis 1,2, Vlad T Dinu 1, Gleb E Yakubov 2,3, Anthony P Corfield 1, Stephen E Harding 1,
PMCID: PMC9895975  PMID: 36737502

Abstract

The natural glycopeptide antibiotic teicoplanin is used for the treatment of serious Gram-positive related bacterial infections and can be administered intravenously, intramuscularly, topically (ocular infections), or orally. It has also been considered for targeting viral infection by SARS-CoV-2. The hydrodynamic properties of teicoplanin A2 (M1 = 1880 g/mol) were examined in phosphate chloride buffer (pH 6.8, I = 0.10 M) using sedimentation velocity and sedimentation equilibrium in the analytical ultracentrifuge together with capillary (rolling ball) viscometry. In the concentration range, 0–10 mg/mL teicoplanin A2 was found to self-associate plateauing > 1 mg/mL to give a molar mass of (35,400 ± 1000) g/mol corresponding to ~ (19 ± 1) mers, with a sedimentation coefficient s20, w =  ~ 4.65 S. The intrinsic viscosity [η] was found to be (3.2 ± 0.1) mL/g: both this, the value for s20,w and the hydrodynamic radius from dynamic light scattering are consistent with a globular macromolecular assembly, with a swelling ratio through dynamic hydration processes of ~ 2.

Subject terms: Biochemistry, Biotechnology

Introduction

Teicoplanin is a member of the glycopeptide antibiotic family, such as vancomycin, to treat severe bacterial infections. This glycopeptide antibiotic was first extracted from Actinoplanes teichomyceticus, which was discovered in 1978 from an Indian soil sample1. Its main chemical structure (Fig. 1) is a heptapeptide with three monosaccharide residues: α-D-mannose, N-acetyl-β-D-glucosamine, and N-acyl-β-D-glucosamine2,3. For teicoplanin, there are six major subtypes (A2-1 through A2-5, and A3-1) and four minor subtypes (from RS-1 to RS-4)4. Of these subtypes, teicoplanin is primarily formed by bacteria as a blend of A2-1 through A2-5 lipoforms which have different fatty acid chains attached to the glcNAc (N-acetyl-β-D-glucosamine) residue5. The antibiotic mechanism of teicoplanin is similar to another glycopeptide vancomycin (structurally similar, although not containing lipid), and both antibiotics inhibit the formation of the peptidoglycan chains of bacterial cell walls, by attaching to the D-Ala-D-Ala C-terminus of the pentapeptide substrate via hydrogen bonds6. Moreover, teicoplanin is known to interact with this pentapeptide substrate through its hydrophobic lipid chain, resulting in the positioning of the antibiotic being adjacent to the peptidoglycan7,8.

Figure 1.

Figure 1

Structure of teicoplanin (adapted from the National Institute for Health/ National Center of Biotechnology Information36 based on an original structure given by F. Parenti37).

Teicoplanin is used in the treatment of life-threatening infectious diseases caused by multidrug-resistant Gram-positive bacteria, including methicillin-resistant Staphylococcus aureus (MRSA) and Enterococci. Teicoplanin has a proven, outstanding high efficacy in various tissue sites, such as the heart and respiratory tracts9. Its main routes of administration are intravenous and intramuscular, although it is also given orally and is considered for topical administration, especially for treating ocular infections.

The therapeutic plasma concentration of teicoplanin ranges from 10 to 30 mg/L, depending on the severity of the disease or the range of infectious sites, for example, bone infections1012, and has been found to bind to serum albumin in the blood10. On the other hand, oral and topical (ocular infections) administrations are limited. The oral route is used for the treatment of pseudomembranous colitis caused by Clostridium difficile13. In terms of ocular infections, Kaye suggested synergistic benefits of teicoplanin with other antibiotics, such as meropenem, against S. aureus keratitis14,15, although Kaye’s research group concluded that there was little penetration of teicoplanin into human aqueous humour below the cornea with the administration of 10 mg/mL eye drops16. Antoniadou et al. also reported a similar result: no penetration into the aqueous humour, with the subconjunctival injection (approximately 0.5 mL) of 25 mg teicoplanin17.

Since the beginning of the Covid-19 pandemic in December 2019, teicoplanin has been spotlighted as a potential drug candidate against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due to its well-known antiviral ability. Zhou and colleagues had earlier indicated that teicoplanin inhibited cell entry of the SARS-CoV virus18. In order to cross the cell membrane and enter a host cell, both SARS-CoV and SARS-CoV-2 viruses depend on cysteine proteinase cathepsin L (CTSL), which splits viral spike (S) glycoproteins attached to a host receptor so that viruses are released from an endosome within the host cell18,19. The fatty acid chain of teicoplanin interacts with CTSL, while vancomycin, without such a hydrophobic group, cannot express antiviral activity against CTSL-dependent viruses18. Consequently, some clinical studies were focused on the novel medical use of teicoplanin as a Covid-19 drug20,21. Regardless of whether teicoplanin is used in the treatment of Covid-19 or co-infections of Gram-positive bacteria in Covid-19 patients, its use is still in demand.

However, there has been a growing concern about the resistance to teicoplanin in pathogens since its approval in Europe in 1988. In the same year, it was already shown that vancomycin- and teicoplanin-resistant Enterococci strains had been isolated from patients in France22. Gram-positive bacteria, especially Enterococci, acquire resistance by modifying their D-Ala-D-Ala moiety of peptidoglycan precursors, Lipid II. This moiety is transformed to either D-Ala-D-Lac (vanA, vanB, vanD) or D-Ala-D-Ser (vanC, vanE, vanG) in resistant strains, and as a result, glycopeptides have a low affinity to these phenotypes of precursors23,24.

Although it is important to explore how teicoplanin binds to the Lipid II moiety regardless of its phenotypes, the knowledge of the biological form of teicoplanin in an aqueous solution is of importance. Teicoplanin and its aglycon derivatives25 use their long acetyl chain to attach themselves to the targeted sites. It is known that the minimum volume of solvent required to dissolve 400 mg of teicoplanin is 3 ml because, below that value, a gel might be formed in solution10. Teicoplanin derivatives have also been reported to create nano-sized aggregates in aqueous solution26. This gelation/coalescence of teicoplanin was thought to be caused by micellization due to its hydrophobic tail27,28, although a teicoplanin derivative without that tail can still aggregate in solution29. It is hypothesized that aggregation enables teicoplanin to have enhanced binding potency30. However, this concentration-dependent aggregation might lead to poor permeability of teicoplanin across the epithelial lining by the oral and topical (ocular) routes and the aggregated form may reduce effective concentrations on sites, resulting in the need for a greater dose and then further bacteria acquiring resistance31. Due to its importance, in this study, we perform an analysis of this associative/aggregation effect using the powerful hydrodynamic techniques of sedimentation velocity and sedimentation equilibrium in the analytical ultracentrifuge (SV-AUC, SE-AUC) taking advantage of the inherent separation and analysis facilities of the analytical ultracentrifuge (AUC). Analytical ultracentrifugation is a matrix-free method with a broad range of molar masses, 102–108 g/mol, and the key technique used to explore the molecular behaviour of proteins, polysaccharides, or other macromolecules in solution32. AUC has recently been used to characterize the self-associative properties of vancomycin33 and its interactions with VanS34 and mucins35.

We then also assess the solution conformation of the association/aggregation products using molecular viscometric analysis of the intrinsic viscosity [η], in combination with the sedimentation coefficient from sedimentation velocity. We believe this present study is the first report demonstrating the self-association of teicoplanin with hydrodynamic methods.

Materials and methods

Teicoplanin

Teicoplanin A2 (monomer molar mass: M1 = 1877.6 g/mol for teicoplanin A2-1, M1 = 1879.7 g/mol for teicoplanin A2-2 and A2-3, and M1 = 1893.7 g/mol for teicoplanin A2-4 and A2-5) was purchased in powder form from Sigma-Aldrich, United Kingdom. Its structure is shown in Fig. 1:

Teicoplanin lipoform A2-2 (M1 = 1879.7 g/mol) is shown: the other major lipoforms of A2 with different acyl chains are shown in the inset.

Teicoplanin samples were prepared in a phosphate-chloride buffered saline solution (PBS, or “Paley buffer”) at pH ~ 6.8 and, by adding NaCl, adjusted to an ionic strength of I = 0.1 mol/L38.

The concentration, c (g/mL) of the stock solution was then measured using a differential refractometer (Atago DD7, Tokyo, Japan) set to zero with the reference solvent (PBS) and using a refractive increment dn/dc of 0.188 mL/g for teicoplanin39. The measured concentration was multiplied by 0.96 for moisture content correction, being calculated from the difference in the weights of teicoplanin powder before and after the vacuum oven (Vacuum Oven 31 L, Fistreem, Cambridge, UK) drying overnight40.

The partial specific volume υ¯ from solution/ solvent densities was determined using an Anton-Paar (Graz, Austria) digital density meter41, and application of:

υ¯=1ρ0·1-ρ-ρ0c 1

at a concentration, c, of 10.2 mg/mL, and where ρ and ρ0 are the densities of the solution and solvent, respectively. A value of (0.64 ± 0.01) mL/g, was obtained, similar to that for vancomycin33.

Sedimentation velocity in the analytical ultracentrifuge

Experiments to determine sedimentation coefficients and sedimentation coefficient distributions were performed at a temperature of 20.0 °C (at which standardised values are easily calculated) using an Optimal XL-I analytical ultracentrifuge (Beckman Instruments, Palo Alto, CA, USA) with Rayleigh interference optics. Teicoplanin samples (400 μL) and reference solvent (PBS, 420 μL) were injected into channels of the 12 mm double sector epoxy cells with sapphire windows. These cells were then centrifuged at 47,500 rpm for a run time of ~ 24 h and the data obtained were analysed in SEDFIT using the least squares, ls-g*(s) processing method42. This generates the sedimentation coefficient distribution, g(s) versus sT,b, where sT,b is the sedimentation coefficient, at temperature T in buffer b. The s value in Svedberg units, S = 10-13 seconds, was then normalised to standard conditions (density ρ20,w and viscosity η20,w of water at 20.0 °C) to give s20,w from the Eq. 43:

s20,w=1-υ¯·ρ20,w1-υ¯·ρT,b·ηT,bη20,w·sT,b 2

where ρT,b and ηT,b are the density and the viscosity of buffer b at temperature T, respectively.

Sedimentation equilibrium in the analytical ultracentrifuge

Sedimentation equilibrium experiments were used to obtain equilibrium concentration distribution profiles for absolute molecular weight measurement. An Optima XL-I analytical ultracentrifuge was also employed but at a lower temperature of 7 °C because of the longer duration of a sedimentation equilibrium experiment compared to sedimenation veloicity. To characterise the self-association/aggregation of teicoplanin, 12 mm double sector epoxy cells were loaded with the same volumes (100 μL) of both solution and solvent and run at 45,000 rpm for a run time of ~ 48 h. Records of concentration distributions of teicoplanin at equilibrium were subsequently analysed using the model-independent SEDFIT-MSTAR algorithm44. Since the non-ideality of teicoplanin is negligible we estimated that apparent weight average molar masses Mw,app were approximately equal to the true weight average molar masses Mw45. The multiple concentrations used effectively represent repeats for the sedimentation equilibrium (and sedimentation velocity) experiments.

Hydrodynamic radius determination by dynamic light scattering (DLS)

Dynamic or quasi-elastic light scattering (DLS or QLS) measurements were made on the fixed scattering angle Zetasizer Nano-S system (Malvern instruments Ltd., Malvern UK) equipped with a 4mW He–Ne laser at a wavelength of 632.8nm46,47. Samples in solution were measured in a quartz cuvette at 20.0 °C. A scattering angle of 173° was used, and collected in manual mode, requiring a measurement duration of 90 s, averaged over several measurements. The resulting data were analysed using the “Zetasizer Software (Version 7.1)” (Malvern Instruments Ltd., Malvern, UK), providing a volume distribution of translational diffusion coefficients based on a form of the CONTIN program48. The viscosity of the buffer used was calculated using a solvent builder interface and takes the effects of buffer salts into account. The z-average hydrodynamic radii rz (nm), were evaluated from the z-average translational diffusion coefficients Dz by the Stokes–Einstein Eq. 47:

rz=kBT/{6πηoDz} 3

where kB is the Boltzmann constant, T is the absolute temperature and η is the viscosity of the medium. The following assumptions were made (i) the solutions were sufficiently dilute and sample sizes sufficiently small that non-ideality effects were not significant—i.e. an extrapolation to zero concentration was not necessary. This is reasonable as the non-ideality is due to the low concentration of mucin and small size of teicoplanin, and for translational diffusion, the two main contributory factors to non-ideality—the hydrodynamic and thermodynamic terms—compensate for each other and can even cancel each other out49,50. (ii) the teicoplanin in its monomeric and multi-meric form were quasi-spheroidal and not asymmetric so there was no angular dependence of the measured Dz, values on anisotropic rotational diffusion effects—i.e. an extrapolation to zero angles was not necessary.

Intrinsic viscosity measurement

Teicoplanin solutions were analysed using the capillary viscometer AMVn (Anton-Paar, Graz, Austria). This measurement was conducted at a temperature of 25.0 °C based on the rolling ball viscosity method. With a 1.4 mm steel ball moving in a 1.6 mm diameter glass capillary, the flow times (averaged over repeat measurements) of the solvent and solution were then determined. The relative viscosity was calculated from the equation:

ηrel=ρ·tρ0·t0=ηsp+1 4

where ηsp is the specific viscosity51. Then the intrinsic viscosity η was estimated from the Solomon-Ciuta relation52 at a concentration of 10.2 mg/ml, which gave a sufficient flow time increment between solvent and solution:

η1c·2ηsp-2lnηrel12 5

Results and discussion

Hydrodynamic properties of teicoplanin

Figure 2 shows the sedimentation coefficient distribution function g(s) plotted versus s20,w, where g(s) is the proportion of sedimentation coefficient values lying within the range of s and s + ds. Sedimentation velocity plots obtained using the algorithm SEDFIT for teicoplanin (Fig. 2) reveal unimodal behaviour at much higher s-values than expected for monomeric teicoplanin, for concentrations > 0.5 mg/ml. Below this concentration separation occurred with bimodality. Fig. 3 shows a plot of s vs c for those concentrations where unimodality is still clear. The extrapolated value of ~ 4.65 S is in good agreement with a spherical 18–19-mer of the molar mass of 35,400, while the lower extrapolated value of ~ 0.7 S is the predicted value for a spheroidal unimer.

Figure 2.

Figure 2

Sedimentation coefficient distribution of teicoplanin A2 at different concentrations from 0 to 5 mg/mL. The Y-axis ranges are different for each sample because that is clearer to see unimodality for higher concentrations (> 0.5 mg/mL) and separation occurring for lower concentrations (< 0.5 mg/mL).

Figure 3.

Figure 3

Change of apparent sedimentation coefficient (s20,w) of teicoplanin A2 with sedimenting concentration, c. Concentrations were corrected for radial dilution. The extrapolated value of ~ 4.65 S is consistent with a spherical 18–19-mer of molar mass of 35,400 g/mol. The lower extrapolated value of ~ 0.7 S is the predicted value for a spheroidal unimer, which is consistent with the s-value of teicoplanin dissolved in 6 M GuHCl, s20,w = (1.17 ± 0.01) S. Solid line is a standard French curve fit to the data.

In order to effectively assess the 19-merisation, we sought the application of a chaotropic agent (6 M GuHCl) to reduce the solvent effects of water and make teicoplanin more soluble. The s-value of teicoplanin dissolved in 6 M GuHCl was ~ 0.7 S and s20,w was (1.17 ± 0.01) S. For the weight-average molar mass, Mw = (1.75 ± 0.35) kDa (see Fig. 4), corresponding the unimer, was obtained. Since teicoplanin was dissolved in the chaotropic agent, the teicoplanin samples did not become 18–19mer over 0–10 mg/mL.

Figure 4.

Figure 4

Change of weight average molar mass Mw of teicoplanin with loading concentration derived from sedimentation equilibrium analysed by SEDFIT–MSTAR. Solid square symbols are molar masses Mw,app obtained from the M* method. Solid round symbols are molar masses Mw,app obtained from the hinge point method. Solid line is a standard French curve fit to the data. Open triangle symbols are molar masses Mw,app of teicoplanin dissolved in 6 M GuHCl from the M* method.

Teicoplanin self-association

To determine the weight-average molar masses Mw of teicoplanin, the M* extrapolation method45 and hinge point analysis44, both incorporated in the sedimentation equilibrium-based SEDFIT–MSTAR software44 were used. A similar approach was previously used in the analysis of vancomycin33. Rayleigh interference optics provides an accurate record of a sedimentation equilibrium concentration profile c(r) vs r, which means that the local concentration c(r) at the radial position r (cm) is from the rotation centre. M*(r) is a useful operational point average molar mass parameter. M*(r → rb) = Mw is the weight average molar mass over the whole macromolecular distribution, where r is the radial position at the cell base. This method is particularly advantageous for polydisperse/ or self-associating systems45. As an additional check, the “hinge point method” (the value of the point weight average molar mass, Mw(r) at the “hinge point” in the sedimentation equilibrium distribution, i.e. the radial position in the cell where the local concentration c(r) = the original loading concentration) provides another estimate for the whole distribution molar mass Mw44.

When the value of apparent weight average molar masses Mw were extrapolated to zero concentration a value of (1.9 ± 0.1) kDa was obtained, comparable to (M1 = 1879.7 g/mol) of teicoplanin A2-2. The SEDFIT-MSTAR algorithm also gives an approximation of the point weight average molar mass at the hinge point rhinge. At this radial position rhinge the corresponding concentration c(r) is equal to the initial loading concentration c, Mw(rhinge) = Mw. The value of (2.7 ± 0.1) kDa was obtained—higher compared with a monomer molar mass of teicoplanin A2-2 because of self-association.

Regardless of whether using the hinge point method or the M* method, the change of the apparent weight average molar masses Mw,app plateaus from c = 1 mg/mL (Fig. 4), giving a value of (35,400 ± 1000) g/mol. This corresponds to ~ 19mers in the hinge point method while (33,000 ± 1000) g/mol corresponds to ~ 18mers for the M* method.

Dynamic light scattering analysis

The self-associative process was confirmed by DLS measurements. Three concentrations were analysed (0.125, 1.25 and 12.5 mg/mL). At 12.5 mg/mL (which corresponds from Figs. 3 and 4 to the 18–19 mer species) a particle size rz ~ 3.2 nm is observed, and as the concentration is lower the size distribution becomes clearly smaller, indicating dis-assembly towards a smaller particle (Fig. 5).

Figure 5.

Figure 5

Distribution of z-average hydrodynamic radii obtained from dynamic light scattering measurements at 20.0 °C for teicoplanin in solution at concentrations 12.5, 1.25 and 0.125 mg/mL.

Conformational analysis of teicoplanin 18–19mer assembly

The sensitive hydrodynamic conformation probe of intrinsic viscosity [η] was used to assess the conformation of the teicoplanin ~ 19mer assembly, reinforced by the sedimentation coefficient, molar mass and (z-averaged) hydrodynamic radius rz from dynamic light scattering. To avoid possible dissociation effects and to ensure a sufficient flow-time increment, we estimate [η] using the Solomon-Ciuta Eq. (5) at a concentration of 10.2 mg/mL. A value for [η] of (3.2 ± 0.1) mL/g is obtained.

In order to interpret this in terms of a molecular shape account needs to be taken of the contribution of the swollen specific volume of the assembly in solution vs (which will be swollen due to a time-averaged association with the surrounding solvent through dynamic hydrogen bonding and other associative processes)43:

[η]=ν.vs 6

Equation (6) ν is the Einstein-Simha shape factor. vs is likely to be higher for the glycopeptide than for proteins due to the relatively large proportion of carbohydrate which tends to have a greater affinity for solvent. In Table 1 values of the shape factor ν, and their corresponding ellipsoid of revolution axial ratios a/b were calculated based on either a prolate or oblate model, using the routine ELLIPS1 (Harding et al. 1997) for 3 cases of vs/υ¯ , including the (unlikely) case of no swelling vs/υ¯ = 1. The maximum value for vs/υ¯ ~ 2, which corresponds to the minimum value of a/b = 1 (i.e. a sphere, Fig. 6), and this seems the most likely scenario.

Table 1.

Values of the viscosity shape function ν and axial ratio a/b for different values of vs.

vs/υ¯ vs (mL/g) ν (a/b) prolate (a/b) oblate
1* 0.64 5.0 4.3 5.4
1.5 0.96 3.3 2.5 2.8
2 1.28 2.5 1 1

*no swelling through dynamic hydration effects. vs swollen specific volume, υ¯ partial specific volume (0.64 mL/g).

Figure 6.

Figure 6

ELLIPS153 representation of the conformation of teicoplanin showing an axial ratio (a/b) = 1: i.e. a sphere.

To check this, we use a global fitting approach known as SingleHYDFIT54 which combines intrinsic viscosity data with sedimentation coefficient and dynamic light scattering (hydrodynamic radius) data together, along with the molecular weight and partial specific volume. It involves the minimization of a global fitting function (Fig. 7). The E2 protocol (ratio of ellipsoid) was chosen and run twice: once with an assumed molar mass equivalent of an 18-mer (33835 Da) and once again with an assumed molar mass of 19-mer (35714 Da). Delta (Δ) was plotted against axial ratio, where values < 1 mean oblate and > 1 mean prolate (Fig. 7).

Figure 7.

Figure 7

Minimisation function performed by SingleHYDFIT on teicoplanin, using the above hydrodynamic parameters and molar mass consistent with either 18-mer (black square) or 19-mer (red circle). Both plots minimise to an axial ratio of 1.0.

The plot shows an optimisation of axial ratios, providing an indication of most likely value to occur. SingleHYDFIT yielded an axial ratio of (1.0 ± 0.0) for both molar masses, suggesting that the supramolecular structure is that of a sphere regardless of whether it is 18- or 19-mer, and confirming the swelling factor of 2 through hydration.

Concluding remarks

In conclusion, based on the matrix-free methods of analytical ultracentrifugation and macromolecular viscometry, teicoplanin appears in phosphate-chloride buffered solution at pH6.8 and I = 0.10 mol/L as a spheroidal 18–19mer assembly with a swelling ratio in solution of ~ 2 which dissociates at concentrations < 0.5 mg/mL. This spherical conformation would be consistent with a micellar-like association with the acyl chains on the inside.

There are some similarities with another “last line of defence” glycopeptide antibiotic vancomycin33,55 On the one hand, vancomycin also shows reversible self-associative behaviour above a similar concentration, but this appears to largely truncate to a monomer–dimer only. On the other hand, teicoplanin with its higher degree of glycosylation (two residues in vancomycin versus three residues in teicoplanin) and the lipid chains attached to one of the glcNAc residue self-associates to give a much larger 18–19mer structure in solution, a structure which is broken by the hydrogen bond and ionic bond disruptive agent 6 M GuHCl. As to the nature of this large spherical n-mer association, it could either be due to micellization inspired by its fatty acid chain27,28 or it could be due to the non-specific association of its other hydrophobic regions29. Interestingly, teicoplanin aglycon without a lipid chain had previously been found to dimerise weakly in solution29. Each or both structural differences may affect the number of building blocks during polymerisation, requiring further research by sedimentation equilibrium experiments using teicoplanin derivatives without either a long acyl chain or sugar units.

In the clinical setting, serum concentrations of teicoplanin are ~ 10 μg/mL or 10 mg/L for intravenous injection10, resulting in a unimer form of teicoplanin in blood, pH7.4 and I = 0.15 mol/L56. On the other hand, 10 mg/mL of eye drops16 would lead to the 18–19 mers on the conjunctiva, which makes it harder for teicoplanin to permeate beyond the cornea. This means that any concentration > 0.5 mg/mL has the potential to reduce topical penetration, while at lower concentrations (< 10 mg/L or 10 μg/mL) the dose is below the therapeutic concentration and thus ineffective10. Furthermore, if the hydrophobic acyl groups are involved with the binding to the bacterial peptidoglycan, then micellization would appear to reduce the efficacy as an antibiotic at these higher doses.

Additionally, the methods we used can be applied to other members of glycan antibiotics, such as dalbavancin, a lipoglycopeptide with both a fatty acid chain and two sugar residues. Dalbavancin is a second-generation drug developed based on both vancomycin and teicoplanin57. Furthermore, we could examine the degree of polymerisation of eremomycin, another glycopeptide antibiotic, over clinically available concentrations to check its high-order oligomeric states reported by an NMR study58. Our combined understanding of the different hydrodynamic behaviour of vancomycin and teicoplanin will help develop important future-generation antibiotic drugs, resulting in a better understanding of the structural effects on the aggregational behaviour of some antibiotics. The presence of the third carbohydrate residue and its reinforcement of potential hydrophobic interactions of teicoplanin also bears comparison with a new study using molecular dynamics simulations of the semisynthetic disaccharide antibiotic oritavancin which opens the door for a new generation of antibiotics in the fight against bacterial disease53—and the increasing threat of antimicrobial resistance59,60.

Acknowledgements

We would like to thank Dr. Mary K. Phillips-Jones who originated the idea for this study and for helpful discussions. This work was supported, in part, by the UK Biotechnology and Biological Sciences Research Council [grant number BB/T006404/1].

Author contributions

A.P.C. and S.E.H. supervised the experiments and wrote the paper. T.C. performed the experiments, analysed the data and assisted with the writing of the paper. J.P., R.B.G., V.T.D and G.E.Y. assisted with the analysis of the data.

Data availability

The datasets used and analysed in the current study are available from the corresponding author upon reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

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References

  • 1.Parenti F, Beretta G, Berti M, Arioli V. Teichomycins, new antibiotics from actinoplanes teichomyceticus nov. sp. J. Antibiot. 2006;31:276–283. doi: 10.7164/antibiotics.31.276. [DOI] [PubMed] [Google Scholar]
  • 2.Barna JCJ, Williams DH, Stone DJM, Leung TWC, Doddrell DM. Structure elucidation of the teicoplanin antibiotics. J. Am. Chem. Soc. 1984;106:4895–4902. [Google Scholar]
  • 3.Hunt AH, Molloy RM, Occolowitz JL, Marconi GG, Debono M. Structure of the major glycopeptide of the teicoplanin complex. J. Am. Chem. Soc. 1984;106:4891–4895. [Google Scholar]
  • 4.Bernareggi A, Borghi A, Borgonovi M, Cavenaghi L, Ferrari P, Vékey K, Zanol M, Zerilli LF. Teicoplanin metabolism in humans. Antimicrob. Agents Chemother. 1992;36:1744–1749. doi: 10.1128/aac.36.8.1744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Zanol M, Cometti A, Borghi A, Lancini GC. Isolation and structure determination of minor components of teicoplanin. Chromatographia. 1988;26:234–236. [Google Scholar]
  • 6.Reynolds PE. Structure, biochemistry and mechanism of action of glycopeptide antibiotics. Eur. J. Clin. Microbiol. Infect. Dis. 1989;8:943–950. doi: 10.1007/BF01967563. [DOI] [PubMed] [Google Scholar]
  • 7.Zeng D, Debabov D, Hartsell TL, Cano RJ, Adams S, Schuyler JA, McMillan R, Pace JL. Approved glycopeptide antibacterial drugs: Mechanism of action and resistance. Csh. Perspect. Med. 2016;6:a026989. doi: 10.1101/cshperspect.a026989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Vimberg V, Gazak R, Szűcs Z, Borbás A, Herczegh P, Cavanagh JP, Zieglerova L, Závora J, Adámková V, Novotna GB. Fluorescence assay to predict activity of the glycopeptide antibiotics. J. Antibiot. 2019;72:114–117. doi: 10.1038/s41429-018-0120-5. [DOI] [PubMed] [Google Scholar]
  • 9.Vimberg V. Teicoplanin—A new use for an old drug in the COVID-19 Era? Pharm. 2021;14:1227. doi: 10.3390/ph14121227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Wilson APR. Clinical pharmacokinetics of teicoplanin. Clin. Pharmacokinet. 2000;39:167–183. doi: 10.2165/00003088-200039030-00001. [DOI] [PubMed] [Google Scholar]
  • 11.Pea F. Teicoplanin and therapeutic drug monitoring: An update for optimal use in different patient populations. J. Infect. Chemother. 2020;26:900–907. doi: 10.1016/j.jiac.2020.06.006. [DOI] [PubMed] [Google Scholar]
  • 12.Pea F, Brollo L, Viale P, Pavan F, Furlanut M. Teicoplanin therapeutic drug monitoring in critically ill patients: A retrospective study emphasizing the importance of a loading dose. J. Antimicrob. Chemoth. 2003;51:971–975. doi: 10.1093/jac/dkg147. [DOI] [PubMed] [Google Scholar]
  • 13.Wenisch C, Parschalk B, Hasenhündl M, Hirschl AM, Graninger W. Comparison of vancomycin, teicoplanin, metronidazole, and fusidic acid for the treatment of clostridium difficile—associated diarrhea. Clin. Infect. Dis. 1996;22:813–818. doi: 10.1093/clinids/22.5.813. [DOI] [PubMed] [Google Scholar]
  • 14.Sueke H, Kaye S, Wilkinson MC, Kennedy S, Kearns V, Zheng Y, Roberts P, Tuft S, Neal T. Pharmacokinetics of meropenem for use in bacterial keratitis. Invest. Opthalmol. Vis. Sci. 2015;56:5731. doi: 10.1167/iovs.15-17077. [DOI] [PubMed] [Google Scholar]
  • 15.Kaye S. Microbial keratitis and the selection of topical antimicrobials. BMJ Open Ophthalmol. 2017;1:e000086. doi: 10.1136/bmjophth-2017-000086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kaye SB, Neal T, Nicholson S, Szkurlat J, Bamber S, Baddon AC, Anderson S, Seddon K, Dwyer N, Lovering AM, Smith G. Concentration and bioavailability of ciprofloxacin and teicoplanin in the cornea. Invest. Opthalmol.Vis. Sci. 2009;50:3176. doi: 10.1167/iovs.08-3201. [DOI] [PubMed] [Google Scholar]
  • 17.Antoniadou A, Vougioukas N, Kavouklis E, Chrissouli Z, Giamarellou H. Ration of teicoplanin (TEC) into human aqueous humor (AH) after subconjuctival (SCJ) and IV administration. Clin. Infect. Dis. 1998;27:967. [Google Scholar]
  • 18.Zhou N, Pan T, Zhang J, Li Q, Zhang X, Bai C, Huang F, Peng T, Zhang J, Liu C, Tao L, Zhang H. Glycopeptide antibiotics potently inhibit cathepsin L in the late endosome/lysosome and block the entry of Ebola virus, middle east respiratory syndrome coronavirus (MERS-CoV), and severe acute respiratory syndrome coronavirus (SARS-CoV)*. J. Biol. Chem. 2016;291:9218–9232. doi: 10.1074/jbc.M116.716100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Yu F, Pan T, Huang F, Ying R, Liu J, Fan H, Zhang J, Liu W, Lin Y, Yuan Y, Yang T, Li R, Zhang X, Lv X, Chen Q, Liang A, Zou F, Liu B, Hu F, Tang X, Li L, Deng K, He X, Zhang H, Zhang Y, Ma X. Glycopeptide antibiotic teicoplanin inhibits cell entry of SARS-CoV-2 by suppressing the proteolytic activity of cathepsin L. Front. Microbiol. 2022;13:884034. doi: 10.3389/fmicb.2022.884034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Ceccarelli G, Alessandri F, d'Ettorre G, Borrazzo C, Spagnolello O, Oliva A, Venditti M. Is teicoplanin a complementary treatment option for covid-19? the question remains. Int. J. Antimicrob. Ag. 2020;56:106029. doi: 10.1016/j.ijantimicag.2020.106029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ceccarelli G, Alessandri F, Oliva A, Borrazzo C, Dell’Isola S, Ialungo AM, Rastrelli E, Pelli M, Raponi G, Turriziani O, Ruberto F, Rocco M, Pugliese F, Russo A, d’Ettorre G, Venditti M. The role of teicoplanin in the treatment of SARS-CoV-2 infection: A retrospective study in critically ill COVID-19 patients (Tei-COVID study) J. Med. Virol. 2021;93:4319–4325. doi: 10.1002/jmv.26925. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Leclercq R, Derlot E, Eber MV, Duval J, Courvalin P. Transferable vancomycin and teicoplanin resistance in Enterococcus faecium. Antimicrob. Agents Chemother. 1989;33:10–15. doi: 10.1128/aac.33.1.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Butler MS, Hansford KA, Blaskovich MAT, Halai R, Cooper MA. Glycopeptide antibiotics: Back to the future. J. Antibiot. 2014;67:631–644. doi: 10.1038/ja.2014.111. [DOI] [PubMed] [Google Scholar]
  • 24.Blaskovich MAT, Hansford KA, Butler MS, Jia Z, Mark AE, Cooper MA. Developments in glycopeptide antibiotics. ACS Infect. Dis. 2018;4:715–735. doi: 10.1021/acsinfecdis.7b00258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bereczki I, Kicsák M, Dobray L, Borbás A, Batta G, Kéki S, Nikodém ÉN, Ostorházi E, Rozgonyi F, Vanderlinden E, Naesens L, Herczegh P. Semisynthetic teicoplanin derivatives as new influenza virus binding inhibitors: Synthesis and antiviral studies. Bioorg. Med. Chem. Lett. 2014;24:3251–3254. doi: 10.1016/j.bmcl.2014.06.018. [DOI] [PubMed] [Google Scholar]
  • 26.Pintér G, Batta G, Kéki S, Mándi A, Komáromi I, Takács-Novák K, Sztaricskai F, Röth E, Ostorházi E, Rozgonyi F, Naesens L, Herczegh PD. Transfer−click reaction route to new, lipophilic teicoplanin and ristocetin aglycon derivatives with high antibacterial and anti-influenza virus activity: An aggregation and receptor binding study. J. Med. Chem. 2009;52:6053–6061. doi: 10.1021/jm900950d. [DOI] [PubMed] [Google Scholar]
  • 27.Armstrong DW, Nair UB. Capillary electrophoretic enantioseparations using macrocyclic antibiotics as chiral selectors. Electrophoresis. 1997;12–13:2331–2342. doi: 10.1002/elps.1150181224. [DOI] [PubMed] [Google Scholar]
  • 28.Wan H, Blomberg LG. Chiral separation of DL-peptides and enantioselective interactions between teicoplanin and D-peptides in capillary electrophoresis. Electrophoresis. 1997;18:943–949. doi: 10.1002/elps.1150180615. [DOI] [PubMed] [Google Scholar]
  • 29.Bardsley B, Zerella R, Williams DH. Aggregation, binding, and dimerisation studies of a teicoplanin aglycone analogue (LY154989) J. Chem. Soc. Perkin Trans. 2002;20:598–603. [Google Scholar]
  • 30.Tollas S, Bereczki I, Sipos A, Rőth E, Batta G, Daróczi L, Kéki S, Ostorházi E, Rozgonyi F, Herczegh P. Nano-sized clusters of a teicoplanin ψ-aglycon-fullerene conjugate. Synthesis, antibacterial activity and aggregation studies. Eur. J. Med. Chem. 2012;54:943–948. doi: 10.1016/j.ejmech.2012.06.054. [DOI] [PubMed] [Google Scholar]
  • 31.Corno G, Coci M, Giardina M, Plechuk S, Campanile F, Stefani S. Antibiotics promote aggregation within aquatic bacterial communities. Front. Microbiol. 2014;5:297. doi: 10.3389/fmicb.2014.00297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Harding SE. The Svedberg lecture 2017. From nano to micro: The huge dynamic range of the analytical ultracentrifuge for characterising the sizes, shapes and interactions of molecules and assemblies in biochemistry and polymer science. Eur. Biophys. J. 2018;47:697–707. doi: 10.1007/s00249-018-1321-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Phillips-Jones MK, Lithgo R, Dinu V, Gillis RB, Harding JE, Adams GG, Harding SE. Full hydrodynamic reversibility of the weak dimerization of vancomycin and elucidation of its interaction with VanS monomers at clinical concentration. Sci. Rep-uk. 2017;7:12697. doi: 10.1038/s41598-017-12620-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Phillips-Jones MK, Channell G, Kelsall CJ, Hughes CS, Ashcroft AE, Patching SG, Dinu V, Gillis RB, Adams GG, Harding SE. Hydrodynamics of the VanA-type VanS histidine kinase: An extended solution conformation and first evidence for interactions with vancomycin. Sci Rep-uk. 2017;7:46180. doi: 10.1038/srep46180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Dinu V, Lu Y, Weston N, Lithgo R, Coupe H, Channell G, Adams GG, Gómez AT, Sabater C, Mackie A, Parmenter C, Fisk I, Phillips-Jones MK, Harding SE. The antibiotic vancomycin induces complexation and aggregation of gastrointestinal and submaxillary mucins. Sci Rep-uk. 2020;10:960. doi: 10.1038/s41598-020-57776-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.NIH, N. C. for B. I. PubChem Compound Summary for CID 16129709, Teicoplanin A2-2. PubChem at <https://pubchem.ncbi.nlm.nih.gov/compound/Teicoplanin-A2-2>
  • 37.Parenti F. Structure and mechanism of action of teicoplanin. J. Hosp. Infect. 1986;7:79–83. doi: 10.1016/0195-6701(86)90011-3. [DOI] [PubMed] [Google Scholar]
  • 38.Green AA. The preparation of acetate and phosphate buffer solutions of known pH and ionic strength. J. Am. Chem. Soc. 1933;6:2331–2336. [Google Scholar]
  • 39.Tesarová E, Tuzar Z, Nesmerák K, Bosáková Z, Gas B. Study on the aggregation of teicoplanin. Talanta. 2001;4:643–653. doi: 10.1016/s0039-9140(01)00313-7. [DOI] [PubMed] [Google Scholar]
  • 40.Taber LE. Study of vacuum oven drying in official method for moisture ine and egg products. J. Assoc. Off. Anal. Chem. 1980;63:941–942. [Google Scholar]
  • 41.Kratky O, Leopold H, Stabinger H. The determination of the partial specific volume of proteins by the mechanical oscillator technique. Methods Enzymol. 1973;27:98–110. doi: 10.1016/s0076-6879(73)27007-6. [DOI] [PubMed] [Google Scholar]
  • 42.Dam J, Schuck P. Calculating sedimentation coefficient distributions by direct nmodeling of sedimentation velocity concentration profiles. Methods Enzymol. 2004;384:185–212. doi: 10.1016/S0076-6879(04)84012-6. [DOI] [PubMed] [Google Scholar]
  • 43.Schachman, H. K. 1950 Ultracentrifugation biochemistry. Academic Press: New York, NY, USA; London, UK
  • 44.Schuck P, Gillis RB, Besong TMD, Almutairi F, Adams GG, Rowe AJ, Harding SE. SEDFIT–MSTAR: molecular weight and molecular weight distribution analysis of polymers by sedimentation equilibrium in the ultracentrifuge. Analyst. 2014;139:79–92. doi: 10.1039/c3an01507f. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Creeth JM, Harding SE. Some observations on a new type of point average molecular weight. J. Biochem. Biophys. Methods. 1982;1:25–34. doi: 10.1016/0165-022x(82)90033-1. [DOI] [PubMed] [Google Scholar]
  • 46.Nobbmann U, Connah M, Fish B, Varley P, Gee C, Mulot S, Chen J, Zhou L, Lu Y, Sheng F, Yi J, Harding SE. Dynamic light scattering as a relative tool for assessing the molecular integrity and stability of monoclonal antibodies. Biotechnol. Genet. Eng. Rev. 2007;24:117–128. doi: 10.1080/02648725.2007.10648095. [DOI] [PubMed] [Google Scholar]
  • 47.Harding SE, Sattelle DB, Bloomfield VA. Laser Light Scattering in Biochemistry. Royal Society Chemistry; 1992. [DOI] [PubMed] [Google Scholar]
  • 48.Provencher, S. W. (1992) Laser Light Scattering in Biochemistry (eds. Harding, S. E., Sattelle, D. B. & Bloomfield, V. A.) Royal Society of Chemistry, Cambridge UK. 92–111 [DOI] [PubMed]
  • 49.Harding SE, Johnson P. The concentration-dependence of macromolecular parameters. Biochem. J. 1985;231:543–547. doi: 10.1042/bj2310543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Harding SE, Johnson P. Physicochemical studies on turnip-yellow-mosaic virus. Homogeneity, relative molecular masses, hydrodynamic radii and concentration-dependence of parameters in non-dissociating solvents. Biochem. J. 1985;231:549–555. doi: 10.1042/bj2310549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Harding SE. The intrinsic viscosity of biological macromolecules. Progress in measurement, interpretation and application to structure in dilute solution. Prog. Biophys. Mol. Biol. 1997;68:207–262. doi: 10.1016/s0079-6107(97)00027-8. [DOI] [PubMed] [Google Scholar]
  • 52.Solomon OF, Ciutǎ IZ. Détermination de la viscosité intrinsèque de solutions de polymères par une simple détermination de la viscosité. J. Appl. Polym. Sci. 1962;6:683–686. [Google Scholar]
  • 53.Harding SE, Horton JC, Cölfen H. The ELLIPS suite of macromolecular conformation algorithms. Eur. Biophys. J. 1997;25:347–359. doi: 10.1007/s002490050048. [DOI] [PubMed] [Google Scholar]
  • 54.Ortega A, de la Torre JG. Equivalent radii and ratios of radii from solution properties as indicators of macromolecular conformation, shape, and flexibility. Biomacromol. 2007;8:2464–2475. doi: 10.1021/bm700473f. [DOI] [PubMed] [Google Scholar]
  • 55.Hughes CS, Longo E, Phillips-Jones MK, Hussain R. Characterisation of the selective binding of antibiotics vancomycin and teicoplanin by the VanS receptor regulating type A vancomycin resistance in the enterococci. Biochim. Et Biophy. Acta BBA Gen. Sub. 2017;1861:1951–1959. doi: 10.1016/j.bbagen.2017.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Covington AK, Robinson RA. References standards for the electrometric determination, with ion-selective electrodes, of potassium and calcium in blood serum. Anal. Chim. Acta. 1975;78:219–223. doi: 10.1016/S0003-2670(01)84768-1. [DOI] [PubMed] [Google Scholar]
  • 57.Scheinfeld N. Dalbavancin: A review for dermatologists. Dermatol. Online J. 2006;12:6. [PubMed] [Google Scholar]
  • 58.Izsépi L, Erdei R, Tevyashova AN, Grammatikova NE, Shchekotikhin AE, Herczegh P, Batta G. Bacterial cell wall analogue peptides control the oligomeric states and activity of the glycopeptide antibiotic eremomycin: Solution nmr and antimicrobial studies. Pharm. 2021;14:83. doi: 10.3390/ph14020083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Phillips-Jones MK, Harding SE. Antimicrobial resistance (AMR) nanomachines—mechanisms for fluoroquinolone and glycopeptide recognition, efflux and/or deactivation. Biophy. Rev. 2018;10:347–362. doi: 10.1007/s12551-018-0404-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Olademehin OP, Shuford KL, Kim SJ. Molecular dynamics simulations of the secondary-binding site in disaccharide-modified glycopeptide antibiotics. Sci. Rep. 2022;12:7087. doi: 10.1038/s41598-022-10735-6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and analysed in the current study are available from the corresponding author upon reasonable request.


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