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. 2021 Jun 4;16(6):e0252341. doi: 10.1371/journal.pone.0252341

Comparison of polypeptides that bind the transferrin receptor for targeting gold nanocarriers

Conor McQuaid 1,¤a, Andrea Halsey 1,¤b, Maëva Dubois 1, Ignacio Romero 1, David Male 1,*
Editor: Mária A Deli2
PMCID: PMC8177412  PMID: 34086733

Abstract

The ability to target therapeutic agents to specific tissues is an important element in the development of new disease treatments. The transferrin receptor (TfR) is one potential target for drug delivery, as it expressed on many dividing cells and on brain endothelium, the key cellular component of the blood-brain barrier. The aim of this study was to compare a set of new and previously-described polypeptides for their ability to bind to brain endothelium, and investigate their potential for targeting therapeutic agents to the CNS. Six polypeptides were ranked for their rate of endocytosis by the human brain endothelial cell line hCMEC/D3 and the murine line bEnd.3. One linear polypeptide and two cyclic polypeptides showed high rates of uptake. These peptides were investigated to determine whether serum components, including transferrin itself affected uptake by the endothelium. One of the cyclic peptides was strongly inhibited by transferrin and the other cyclic peptide weakly inhibited. As proof of principle the linear peptide was attached to 2nm glucose coated gold-nanoparticles, and the rate of uptake of the nanoparticles measured in a hydrogel model of the blood-brain barrier. Attachment of the TfR-targeting polypeptide significantly increased the rates of endocytosis by brain endothelium and increased movement of nanoparticles across the cells.

Introduction

The targeting of therapeutic agents to specific cells or tissues is central to the development of treatments for many diseases. Increasing the proportion of a drug that reaches the target-tissue reduces potential off-target effects and the dose required to produce a therapeutic effect. This latter point is particularly important as expensive biological agents are increasingly being developed for clinical use. The main approach to targeting has been to identify receptors that are expressed on the target cell and develop antibodies, peptides or aptamers that bind to that receptor and which may be coupled to a therapeutic agent [14].

The transferrin receptor (TfR) is a particularly attractive target as it is expressed on many dividing cell-types and has therefore often been chosen for targeting tumour cells [5, 6]. In addition, the TfR is highly expressed on brain capillary endothelium, where it acts as an essential transporter of iron to the brain [79]. Expression on other vascular endothelial cells is relatively low [10]. Delivering therapeutics to the brain is especially problematic because of the blood-brain barrier (BBB) [3, 11]. The majority of drugs with potential to treat brain diseases cannot cross the barrier [12] and none of the large therapeutic biomolecules (cytokines, antibodies, siRNA etc), can pass through the tight junctions between brain endothelial cells [13]. As the TfR enables endocytosis and transcytosis of transferrin (Tf) a large serum protein (80kDa), it could also theoretically be used to transport therapeutic agents into the brain [14]. It has been debated as to what proportion of the TfR undergoes transcytosis, is recycled to the apical membrane or is degraded in endosomal compartments. Indeed, the intracellular fate of the Tfr partly depends on the bound ligand. Nevertheless this receptor does have potential for transport of large therapeutic biomolecules.

Several targeting systems have been developed that aim to use the TfR for transport to the brain, including antibodies, antibody fragments and peptides [7, 14, 15]. These targeting agents have been isolated from libraries by a variety of techniques, including direct-binding to the TfR. Interestingly divalent antibodies with high affinity for the TfR are not necessarily most effective in promoting transcytosis, as the receptor can be diverted to lysosomal pathways by the binding of high-affinity ligands and/or cross-linking [16]. Ideally a reagent that targets the TfR should be small, easy to attach to the cargo-molecules or nanoparticles that are being transported and not interfere with endosomal transport. Polypeptides can fulfil many of these requirements [17] and various approaches have been made to develop brain-targeting peptides [1820].

The aim of this study was to compare the properties of a number of different peptides that bind to the TfR, including a linear peptide [21] and three recently-described cyclic peptides isolated from a phage-display library by binding to murine and human TfR [22]. It was particularly notable that one of these cyclic peptides has primary sequence homology with a cyclic peptide isolated by binding to brain endothelium in vivo, from a much older study [23].

This work compares the rate of endocytosis of the polypeptides after binding to the human brain endothelial cell line hCMEC/D3. One important consideration in developing peptides that bind the TfR is that they should still be active in the presence of serum molecules, including Tf itself. Ideally Tf and the polypeptide would bind separate sites on the TfR. This would also ensure that using the peptide to aid drug transport would reduce potential interference with the normal iron transport system of the brain. Hence another element of the study was to assess peptide interaction with brain endothelium in the presence of different amounts of serum or Tf. The study has identified important properties and distinct differences between the peptides tested, each of which could be advantageous for targeting the TfR for endocytosis or transcytosis.

Materials and methods

Peptides

The polypeptides were produced by Peptide Synthetics (Fareham, UK) and purity confirmed by mass spectrometry (>95%). Cyclic peptides were tagged with Fitc at the N-terminus and the linear peptide at the C-terminus, to allow tracking. Spacers (GA) were added to the original sequences in order to reduce the possibility that the Fitc would interfere with TfR-binding (Table 1).

Table 1. Characteristics of peptides.

Peptide Sequence Structure Source
Pep-1 Fitc-GAWSIIDCSMNYCLYIEG Cyclic, disulphide bond C-C [22]
Pep-2 Fitc-GAIHCHPQGDQSVSFCWR Cyclic, disulphide bond C-C
Pep-10 Fitc-GALHECTYYWWGLDCSFR Cyclic, disulphide bond C-C
Pep-10-M Fitc-GALHEDTYYWWGLDKSFR Cyclic, peptide bond between D-K New
Pep-R1 Fitc-GACENWWGDVCGAGAG Cyclic, disulphide bond C-C [23]
Pep-R2 Fitc-GACLSSRLDACGAGAG Cyclic, disulphide bond C-C
Pep-L THRPPMWSPVWPSK-Fitc Linear,Fitc attached to K side chain [21]
Pep-L* THRPPMWSPVWPCS -CS added for exchange reaction New

Additional data on these peptides is given in S1 Table. Peptides were dissolved in dimethyl sulfoxide at 10mg/ml and stored in aliquots at -80°C until use at 1–10μg/ml in Hank’s balanced salt solution (HBSS) with the stated amounts of foetal bovine serum (FBS).

Cell cultures

The human brain endothelial line hCMEC/D3, originally characterised in this laboratory [24] was used at passage 24–33 and cultured in modified EBM-2 MV medium (Lonza) containing (v/v) 0.025% VEGF, IGF and EGF, 0.1% bFGF, 0.1% rhFGF, 0.1% gentamycin, 0.1% ascorbic acid and 0.04% hydrocortisone, according to the manufacturer’s instructions and 1% 100 U/ml penicillin and 100μg/ml streptomycin. The cells were split at 90% confluency onto fresh collagen-coated flasks or plates (12 or 24 well) for experiments, with medium changed every 2-3days.

Human microvascular endothelial cells (MVEC) originally derived from lung were obtained from ScienCell and grown in the same conditions as stated above. bEnd.3 mouse brain endothelial cells were supplied by the European culture collection and grown in DMEM with 10%FBS, penicillin and streptomycin. All cell cultures were maintained at 37°C in air with 5% CO2.

Cytometry and analysis of peptide endocytosis

hCMEC/D3, bEnd.3 or MVEC (Lonza, CC-2527) cells were grown to confluence in a 12-well or 24-well plate and washed 2x with HBSS at 37°C before being treated with stated concentrations of each peptide (equal fluorescence intensity). Treated cells were incubated at 37°C for 30mins–3hrs. They were then washed twice with warmed HBSS and detached from their wells by adding 500μl of trypsin + EDTA solution (Sigma-Aldrich, Dorset, UK, Cat No. T3924) and incubating at 37°C for 5mins. The contents of each well were harvested into individual 15ml Falcon tubes. The wells were washed for remaining cells by adding another 1ml of HBSS, which was then also added to the respective tubes. The tubes were centrifuged for 5mins at 4°C and 1500 RPM. All but the cell pellet was then removed and the cells washed in 1ml cold HBSS.

The cells were centrifuged under the same conditions and all but the cell pellet removed. The cells were resuspended in 300μl HBSS and the total solution transferred to chilled FACS tubes. The cytometer (FACscan, Becton & Dickinson) was set to capture 10,000 cells in the FSC/SSC gate, and the gain voltage on the FL1 detector (fluorescein) adjusted so that 90% of untreated cells gave a FL1 value <10. The median fluorescence values were taken from each culture as a single data point.

Each sample was analysed in triplicate (separate cultures) and each experiment carried out 2–4 times with concordant results. FACS histograms are representative and the data compiled to show the mean ±SEM of the median fluorescence of each of the triplicate cultures.

Nanoparticles and quantitation of gold

Gold nanoparticles (NP), obtained from Midatech Pharma Plc, were synthesised using a modified Brust-Schiffrin method and capped during synthesis with thiol-C2-glucose [25]. Gold in the NPs was measured by the following spectrophotometric method in 96 well plates. A total volume of 10μl of sample was applied to each well. To this, 30μl of 50% fresh, cold Aqua Regia (mixture of conc. nitric acid and conc. hydrochloric acid in a 1:3 Molar ratio) was applied. The liquid was mixed by gentle tapping and left to stand for 1 minute to atomise the gold. Next, 150μl of 2M NaBr was added. The absorbance was read on a plate reader OPTIMA FluoSTAR at 382nm against a gold standard (Sigma). Each sample and the standards were tested in triplicate.

Ligand exchange reaction

A ligand exchange reaction occurs when AuNPs (with a coating of thiol-linked sugar residues) are mixed with ligands containing a free thiol group, in aqueous solution. In this case, 10.2nmol of NP (defined as 100 gold atoms/core) was combined with the appropriate ratio of ligand, ie in the 1:1.5 exchange reaction mixture, 15.3nmol of peptide, Pep-L (1722MW) = 2.6μl of 10mg/ml stock or Pep-L+Fitc (2080MW) = 3.2μl of 10mg/ml stock, in a 15ml falcon tube. This mixture was vortexed 15-30secs and then incubated at 37°C at 600rpm for 3hrs in a PHMT Grant-bio Thermo Fisher heat/shaker block. All samples were then spun at 17,000G for 30secs after which samples were spun-filtered 3 times in 15ml 10kDa MWCO vivaspins at 4000G and resuspended in ddH2O.

Transport assay

Transport of the nanoparticles was measured using a 3-dimensional hydrogel model of the blood-brain barrier in 24-well plates (1cm2, Greiner). The hydrogels were prepared with 2.0mg/ml type 1 rat tail collagen (First Link, Wolverhampton, UK) in 0.6% acetic acid in water. The gels (0.5ml per well) were set by neutralisation with 1M NaOH and equilibrated with MEM. When set, hCMEC/D3 cells were seeded at a density of 80,000–100,000 cells per well and incubated for 2–3 days in culture medium. After the monolayer was formed, the endothelial cells were switched to a medium without VEGF for 3 days to form tight junctions. The nanoparticles were applied to the surface of the endothelium at a final concentration of 8μg/ml (gold) and incubated for 3 hours at 37° C. After the incubation, the media was removed, cells washed 2x with HBSS and the endothelial cells removed with a brief collagenase digestion (1mg/ml) until the monolayer detached from the collagen (~10mins). The collagen gel was then fully digested with collagenase to recover nanoparticles that had crossed the endothelium. The endothelium and collagen digest were analysed for gold by ICP-Q-MS. This culture system has the advantage that nanoparticles released from the basal surface of the endothelium (after transcytosis) are not trapped on a filter or in the basal lamina, but diffuse away from the endothelium.

Statistical analysis

All FACS analyses were carried out with independent cell cultures in triplicate and median fluorescence value of 10,000 cells from each culture was measured. Data is shown as the mean of the median fluorescence, ±SEM. Statistical analysis was carried out using Prism-7 software, with ANOVAR followed by Dunnett’s multiple comparison test, or Student’s t-test as appropriate. Each experiment was repeated 3 times with concordant results.

Results

A set of peptides known to bind to the TfR and peptides that selectively bind brain endothelium were synthesised with a fluorescent tag (Fitc) on either the N- or C-terminal amino acids (Table 1). Specific fluorescence of the peptides was measured by fluorimetry; to facilitate comparison between the peptides they were applied at concentrations producing equal fluorescence in the tracking studies (S1 Table). In addition an equivalent amount of Fitc-dextran (70kDa) was included as a control for non-specific endocytosis (ie not receptor mediated). These peptides were applied to the human brain endothelial cell line hCMEC/D3 to establish an appropriate time-point and concentrations for later experiments. Peptides were first incubated with the endothelium for 0–3 hours. Unbound peptides were removed, the endothelial cells released by trypsinisation and the endocytosed peptides detected and quantitated by flow cytometry. All FACS histograms showed a single peak, and median fluorescence values were derived from each histogram. Data points represent the mean (n = 3) of the median fluorescence values. The time course of internalisation is shown in Fig 1A.

Fig 1. Endocytosis of peptides by hCMEC/D3 cells.

Fig 1

A. Uptake of peptides by hCMEC/D3 cells over 3 hours measured by FACS. Values are mean ± SEM of the median fluorescence from 3 replicate cultures. B. Mean ± SEM of the median fluorescence of 6 peptides binding to hCMEC/D3 cells. Data is derived from 3 biological replicates and 3 technical replicates of each culture, analysed by Dunnet’s multiple comparison test, comparing each peptide with the FITC-dextran non-specific endocytosis control. * P<0.05, **** P<0.0001.

The results in all cases showed a progressive rate of uptake, which was fastest in the first hour, but the values from each peptide differed considerably. The time course did not saturate (no plateau), so the 3hr time-point was chosen for subsequent experiments, as it gave the largest differential between different peptides. A comparison of peptide uptake at 3 hours showed that Pep-1, Pep-10 and Pep-L showed highest rates of endocytosis (Fig 1B). Pep-2 also showed significant uptake, but the two peptides isolated by in vivo binding (Pep-R1 and Pep-R2), were not consistently significantly higher than the Fitc-dextran control. Note that the FACS data measures the amount of accumulated endocytosed peptide, not the position of the Tfr, so the results do not give information on the subcellular location of the receptor or its traffic pathways through the cell.

Some variation in the absolute values was seen in independent experiments, but the overall ranking of the peptide-uptake was always Pep-L, Pep-1, Pep-10 > Pep-2> Pep-R1,Pep-R2.

Peptide endocytosis by hCMEC/D3 cells was then compared with uptake by another human microvascular endothelial cell line (MVEC) and a mouse brain endothelial cell line, bEnd.3 (Fig 2). For transport studies, it is important that targeting peptides can bind to both human and mouse TfR. This allows in vitro studies on human cells to be followed by in vivo studies in rodents. The results show that Pep-1, Pep-2 and Pep-10 also bind to mouse brain endothelium and the MVECs. (It has previously been reported that Pep-L also recognises mouse TfR [21]. However, there were some notable differences in the binding of individual peptides to different cell types: Pep-1 and Pep-R2 both bound relatively strongly to MVECs and Pep-10 bound more strongly to the mouse line than to the two human cell lines. Two factors may explain these results. MVEC, which are rapidly dividing cells, express high levels of the TfR as detected by cell-surface ELISA and Pep-10 has been shown to bind significantly more strongly to mouse TfR than human TfR [22].

Fig 2. Endocytosis of TfR peptides by different endothelial cell lines.

Fig 2

Endocytosis of peptides by hCMEC/D3, MVEC and bEnd.3 cells analysed by FACS. Data shown is the mean ±SEM of the median fluorescence of 3 biological replicates. Binding of each peptide on different cell types was compared using an unpaired t-test. (*** = p<0.001, ** = p<0.01 and * = p<0.05).

The binding of Pep-1, Pep-2, Pep-10, and Pep-L to hCMEC/D3 was examined in more detail. The initial studies (Figs 13) were carried out with peptides at equivalent fluorescence to facilitate comparison of the peptides by FACS (S1 Table). Uptake of peptides was directly proportional to the concentration applied in the range 1–30μg/ml (S1 Fig) indicating that the mechanism of internalisation does not saturate at these concentrations.

Fig 3. Inhibition of peptide uptake by BSA and transferrin.

Fig 3

Endocytosis of TfR-binding peptides by hCMEC/D3 cells in the presence of different amounts of BSA (A) or transferrin (B). Data are the mean ±SEM (n = 3) of the median fluorescence of independent cultures. Data was analysed by Dunnet’s multiple comparison test. * p<0.05, ** p<0.01, ***p<0.001, **** p<0.0001.

The uptake assays were then repeated in the presence of variable levels of bovine serum albumin (BSA) or human Tf (Fig 3). Uptake of Pep-L was strongly inhibited in the presence of 8mg/ml serum albumin, a concentration approximately equivalent to 20% of the level in serum. Pep-L has a high proportion of hydrophobic amino acids and a net positive charge (S1 Table), so it is likely that binding to negatively charged serum albumin reduces the effective concentration of free-peptide available for binding to the TfR.

Pep-10 showed dose-dependent inhibition of binding to the endothelium in the presence of Tf; 1mg/ml Tf is a concentration similar to that found in normal serum. The result suggests that Pep-10 binds to the TfR close to the Tf binding site, but there was still some uptake, even at the highest level of Tf. Pep-1 uptake was weakly inhibited with Tf. Pep-L was also partly inhibited by Tf, but did not show a simple dose-dependent effect.

In a separate set of experiments (S2 Fig) it was confirmed that treatment of hCMEC/D3 cells with Tf did not alter expression of the TfR on the membrane surface of hCMEC/D3 cells. Hence the inhibition of Pep-10 uptake caused by Tf was not due to a loss of the TfR, but competition for the receptor.

One potential use of the TfR-targeting peptides is to improve uptake of nanocarriers into cells or tissues expressing the TfR. Binding of cargo molecules or peptides onto gold nanoparticles is readily effected by the exchange reaction, in which a ligand with a free–SH group exchanges, in reducing conditions, with a ligand bound to the gold core by Au-S bonds. However cyclic peptides with a loop held by a disulphide bond between cysteine residues cannot be used in the exchange reaction, because the conditions required would break open the loop and the free–SH groups could then attach to the nanoparticle, thereby destroying the peptide structure. In order to circumvent this limitation, one possible solution is to substitute the Cys-Cys bridge holding the loop with an alternative chemical bond, that is stable in reducing conditions. To determine if this approach was feasible a variant of Pep-10 was synthesised (Pep-10M) in which the two Cys residues were substituted by aspartic acid (D) and lysine (K) residues, cross-linked by a peptide bond between their side chains (Table 1). The uptake of Pep-10M by hCMEC/D3 cells was then compared with the original Pep-10 (Fig 4). The FACS histogram demonstrated that the modified peptide could still bind to the cells, although it was less effective than the original peptide.

Fig 4. Structural modification of TfR-binding Pep-10.

Fig 4

A representative FACS histogram comparing uptake of Pep-10 and Pep-10M by hCMEC/D3 cells after 3 hours. The inset table shows the mean ± SEM of the median fluorescence of 3 replicate cultures.

From the initial experiments Pep-L appeared to have the best potential for targeting to brain endothelium. To demonstrate the potential, a variant of Pep-L was synthesised with the addition of a cysteine residue near the C-terminus, to allow it to engage in an exchange reaction (Table 1, Pep-L*). The modified peptide had the two C-terminal residues, replaced with -CS to allow attachment to the NP and the Fitc (if present) placed on the N-terminus. The peptide was attached via the exchange reaction to 2nm core diameter gold nanoparticles with a thiol-C2-glucose ligand shell. In the reaction, the cysteine of the Pep-L* displaced some of the C2-glucose residues. The reaction was performed with two different molar ratios of nanoparticle:peptide (in these conditions, 1–4 ligands may exchange with the C2-glucose on each nanoparticle) and free peptide was removed on a spin filter. The nanoparticles were applied to a model of the blood-brain barrier with hCMEC/D3 cells on a collagen gel [26]. This model allows free diffusion of nanoparticles away from the basal membrane of the endothelium and electron micrographs demonstrate that these gold glyconanoparticles cross the endothelium by a combination of vesicular and cytosolic transcytosis, with the relative amounts moving by each route, dependent on the formulation of the nanoparticle and cargo molecules [27]. The amount of gold recovered in the cells and in the gel is shown in Fig 5. At the ratio of NP:peptide 1:1.5, significantly more gold was found in both the cell layer and the collagen gel. Although this system was not optimised, it demonstrates that the addition of a TfR targeting peptide can enhance endocytosis and transcytosis of a gold nanocarrier across the brain endothelial cells.

Fig 5. Transcytosis of gold NPs with targeting peptide.

Fig 5

Recovery of gold in the hCMEC/D3 cells or the collagen gel, after application of gold NPs with different concentrations of Pep-L* (with or without Fitc) to the apical surface of hCMEC/D3 cells. Values are mean ± SEM of 6 biological replicates, each with two determinations of gold concentration. Nanoparticles with bound peptides were compared with C2-glucose-NPs (β-Glu) by paired t-test (* P<0.05, *** P<0.001).

Discussion

The ability to target a therapeutic agent to specific cells or tissues is a major goal in the development of effective treatments for disease. Polypeptides are particularly attractive for this purpose, as they can be synthesised in quantity and at high purity. They are also relatively small in comparison with antibody and antibody-fragments used for targeting receptors or in comparison with the nanocarriers currently under development. Cyclic polypeptides with 4–8 amino-acid residues in a loop closed by a disulphide bond between two cys residues have been developed against a number of receptors including the TfR [21, 22]. Typically these polypeptides are 10–20 amino acid residues in length (1 – 3kDa) and cyclisation gives structural stability to the polypeptide loop that binds to the receptor on the target cell. Cyclisation also increases their resistance to degradation by peptidases.

The TfR, which is selectively expressed on brain endothelium (TfR-2) has been identified for its potential to transport therapeutic agents across the blood-brain barrier [14, 28]. In this paper we have investigated four polypeptides originally isolated for their binding to human and mouse TfR (Pep-1, Pep-2, Pep-10, Pep-L). Two polypeptides that selectively bound to brain endothelium in vivo were also investigated (Pep-R1, Pep-R2). Since Pep-R2 has homology (-WWG-) in the loop with Pep-10, it is likely that Pep-R2 also binds to the TfR. Several other peptides isolated by binding to TfR also have this motif in the centre of the loop [22].

Comparison of the binding of the different peptides to the human brain endothelial cell line hCMEC/D3 demonstrated strong uptake of Pep-1, Pep-10 and Pep-L and lower uptake of Pep-2 (Fig 2). Pep-R1 and Pep-R2 showed weak uptake which was not consistently significantly higher than the dextran control for (non-specific) absorptive endocytosis. Further examination of the four TfR-binding peptides, showed that albumin inhibited endocytosis of Pep-L (Fig 3A) which is the most hydrophobic of the set and the only peptide with a positive charge at neutral pH. Binding to negatively-charged albumin by electrostatic interaction would reduce the effective concentration of available free Pep-L, and could therefore explain reduced endocytosis in the presence of albumin. While this may be an advantage in extending the half-life of a peptide-based therapeutic agent [29] it could prove to be a limitation for the use of Pep-L as a targeting molecule in serum and other tissue fluids that have high amounts of albumin. However, when attached to a nanoparticle additional considerations apply. The surface ligands of nanoparticles considerably affects their uptake by endothelial cells in two major ways: acidic or basic groups attract a corona of serum proteins of the opposite charge which may effectively flip the charge of the nanoparticle [30] and bound proteins can enhance uptake by the endothelium for both receptor mediated transport (RMT) and absorptive mediated transport (AMT). Additionally an increase in charge of nanoparticles (positive or negative) generally increases uptake by the endothelium [31, 32].

Of the remaining peptides, Pep-10 endocytosis was inhibited and Pep-1 slightly inhibited by Tf at concentrations normally found in serum (Fig 3B). Neither peptide was completely blocked at 1 mg/ml Tf which is approximately a 4-fold molar excess of Tf:peptide. The affinity of Tf with bound iron for the TfR is high and binding induces global changes in the conformation of the ectodomain of the receptor [33]. Consequently Tf binding could alter affinity of the peptides for TfR even if they bind at sites distant from the Tf-binding site. This is the most likely explanation for the reduction in binding of Pep-1 and Pep-10 in the presence of free Tf.

Peptides (1-3kDa) have some distinct advantages over larger targeting molecules such as IgG antibodies (~160kDa) or antibody fragments. Their small size is less likely to alter the characteristics of a nanocarrier, and they cannot cross-link the receptor. Cross-linking of receptors often results in trafficking of the receptor through endosomal compartments to lysosomes and degradation. For delivery of therapeutic agents it is important that the targeted receptor remains in the recycling/transcytosis pathways. For this reason monovalent antibody fragments targeting the Tfr appear to be more effective than whole antibody in delivering material to the brain [34].

While there are several advantages in the use of targeting peptides, there are potential disadvantages; firstly the binding site is small by comparison with, for example, an antibody and consequently the affinity of the peptide for a receptor is likely to be lower than the affinity of an antibody; For transcytosis across brain endothelium it has been shown that high affinity antibodies are less effective than medium affinity antibodies [35, 36], and reducing antibody to the Tfr can enhance its level of transcytosis [16]. Hence the lower affinity of peptides may actually be an advantage in targeting therapeutic agents to the brain.

Another possible limitation of these peptides is that the disulphide bond that cyclises them can be cleaved in reducing conditions. To test whether this could be overcome, a variant of Pep-10 was produced, in which the disulphide bond between Cys residues was replaced with a peptide bond between Asp and Lys residues. The length of the cross-link is longer than the disulphide bond, so it was anticipated that this would affect the configuration of the loop and consequently binding affinity to the TfR and endocytosis by the endothelium. The structural modification did indeed reduce binding, but only partially (Fig 4) which indicates that more stable variants of the cyclic peptides could be synthesised and still retain TfR-binding activity. Other chemistries for cyclising peptides have been developed and could be substituted where the disulphide bond presents problems, as in the exchange reaction described here. However, any alteration in the size of the loop or the length of the cross-bridge is likely to affect binding of the peptide to the receptor.

As proof of principle Pep-L was attached to 2nm gold nanoparticles (NP) by exchange with the C2-glucose coat on the NPs. At the higher molar ratio in the exchange reaction, the peptide significantly enhanced NP-endocytosis by the brain endothelium and increased the amount that had crossed the endothelium and localised in the collagen matrix beneath the basal membrane (Fig 5). Clearly, any use of peptides for targeting therapy would require optimisation for each therapeutic agent. For example, gold NPs can carry more than one peptide moiety, which could increase their avidity for the TfR. Also, the affinity of binding of the agent to the TfR could affect its intracellular trafficking. In the case of brain endothelium the aim is to promote transcytosis, and moderate affinity binding is likely to be advantageous, since the peptide must release from the TfR if it is to carry material across the endothelium. Conversely, if one used the peptides to target a cytotoxic agent to the TfR on a tumour cell, high affinity binding would be preferred in order to maximise internalisation of the agent in the target cell.

Conclusions

Four peptides, Pep-1, Pep-2, Pep-10 and Pep-L all have potential for targeting the human and mouse transferrin receptor (TfR). The linear peptide, Pep-L is inhibited by albumin, which may limit its utility in tissue fluids with high levels of albumin. The cyclic peptides, Pep-1, Pep-2 and Pep-10 bind to both human and mouse TfR and are taken up at different levels of efficiency by endothelial cells expressing the TfR. Pep-1 and Pep-10, which show highest levels of endocytosis, appear to bind near the Tf-binding site on the receptor. Modification of Pep-10 by replacing the disulphide bond of the loop with a peptide bond, reduces the susceptibility to reducing conditions, enabling ligand exchange and increasing stability in vivo. A peptide with a single free thiol can be attached to gold nanoparticles by a simple exchange reaction and this enhances transcytosis across brain endothelium and hence may be used to increase delivery of therapeutic agents across the blood-brain barrier.

Supporting information

S1 Table. Specific fluorescence and concentrations of peptides in culture, net charge at pH 7 and proportion of hydrophobic residues.

(DOCX)

S1 Fig. Dose dependency of endocytosis of Pep-10 and Pep-L by hCMEC/D3 cells.

(DOCX)

S2 Fig. Expression of TfR on hCMEC/D3 cells measured by cell-surface ELISA.

(DOCX)

Data Availability

All relevant data are within the paper and its Supporting information files.

Funding Statement

DM, PhD studentship to support CM. ‘Delivery of therapeutic cytokines to the CNS, using nanoparticle carriers.’ Midatech pharma plc. https://www.midatechpharma.com The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Mária A Deli

30 Mar 2021

PONE-D-21-03180

Comparison of polypeptides that bind the transferrin receptor for targeting gold nanocarriers.

PLOS ONE

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

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5. Review Comments to the Author

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Reviewer #1: In the current manuscript “Comparison of polypeptides that bind the transferrin receptor for targeting gold nanocarriers”, the authors investigated six peptides, Pep-1, Pep-2, Pep-R1, Pep-R2, Pep-10 and Pep-L all have potential for targeting the human and mouse transferrin receptor (TfR). This work compared the rate of endocytosis of these polypeptides after binding to human brain endothelial cells, hCMEC/D3, human microvascular endothelial cells (MVEC) and mouse brain endothelial cells (bEnd.3). The study demonstrated that four peptides, Pep-1, Pep-2, Pep-10 and Pep-L bound to both human and mouse TfRs and were taken up by the cells at different levels. The linear peptide, Pep-L was inhibited by bovine serum albumin, which limits its utility in serum condition. The authors supposed that Pep-1 and Pep-10, with highest levels of endocytosis, appeared to bind near the Tf-binding site on the receptor. Finally, the authors modified Pep-L, which could be attached to gold nanoparticles by a simple exchange reaction and this improved the transcytosis of nanocarriers across the BBB.

My findings are the following:

1. Regarding the ”Materials and methods” part, the exact marking of the catalog number of the MVEC (Line 103) is missing, please correct it.

2. The ”Statistical Analysis” point is absent from the methods, authors should complete it.

3. Line 245: ”The nanoparticles were applied to a model of the blood-brain barrier with hCMEC/D3 cells on a collagen gel (27). ” I lack of the description of this BBB model from the ” Materials and methods” part. It would be more understandable if authors add this method to the manuscript.

4. Line 187: ”Pep-1 and Pep-R1 both bound relatively strongly to MVECs…”

In Fig. 3, the Pep-1 and Pep-R2 seems to bind strongly to MVECs, please clarify this.

5. It is not clear, why Pep-L is not present in Fig. 3, please explain it?

6. Finally, both the Pep-10 and Pep-L were chemically modified for gold nanoparticles, but only the Pep-L coupled with nanocarriers was tested on the BBB model, please clarify it.

In conclusion, the experiments are well designed and the whole study is consistent and easy to follow. The conclusions are moderate. After minor revision, I recommend the acceptance of the manuscript for publication.

Reviewer #2: The manuscript by McQuaid et al., analyze the endocytosis of several peptides targeting the transferrin receptor. Most of them have been publish before in peer-reviewed papers or in a local thesis from the authors lab. Two of the peptides have been made in a new version in order to optimize for coupling to gold-particles. The aspect of find and analyze peptide with capability to be transported into the brain (over the BBB) is highly relevant and needed by the society to improve drug delivery. However, the amount of new data is limited and would benefit from being increased before publication. Particular kinetic data and transcytosis data are needed.

My comments and suggestions are:

The aspect of TfR as a transcytosing receptor is important for this work. It has been questioning by many if Tf actually is transcytosed across the BBB and the data demonstrating transport of Tf is limiting. This is shortly mentioned in line 59-60 and statement is concluded on ref 14. Ref 14 is minor non peer received book chapter and not sufficient as reference for this discussion. In the light of the importance for the observed result this should be more intensely introduced/discussed. Please elaborate on this and find better evidence.

Line 39-40 (abstract); The provided data do not demonstrate any evidence of transcytosis as stated. This statement should be removed or demonstrated by a tight model (see also comment below).

Figure two is one time point taken from figure 1, just show as a histogram. Not necessary to display in two figures, at most it should be an A and B panel in one figure. Moreover, Fig 3 does not provide much to the paper and is the data form Fig 1 and 2 tested on other cells

Why is PEP10-M and Pep-L* not included in figure 1,2,3 and 4? Fif 5 show that it does influence on uptake, and it would be relevant for the data in figure 6 and the discussion.

A major lack of the article is the absence of kinetic data. More fluorescence in the cells measured by FACS could be a result of fast/low recycling, detaching from receptor, degradation. Statement of more strong binding (e.g. line 187 and other places) cannot be used here. Only binding data obtained from solid phase binding studies or isothermal titration calorimetry and provide these information’s. Also, the peptide has been ranked according to the rate of endocytosis (mentioned several times in the abstract). Again, I believe that more data regarding recycling possible transcytosis and degradation are needed to make these conclusions. Please convince me or rephrase.

What timepoint is used in figure 3 and later figures? And Why is Pep-L not included here?

Is it acceptable to use submitted material and Thesis as references?

Which are the two cyclic peptide that is referred to in the abstract (Pep-L, Pep-L*, Pep10 or Pep10-M). Pep-L* and Pep10-M should be included in figure 4

Line 215-216: “Pep-L was also partly inhibited by Tf, but…” It seems to me that that higher amount of Tf increase the fluorescence? The “No-addition” of BS and Tf of all peptides should be included in the figure

Line 234: “..it was slightly less effective..” With respect to what? Endocytosis I believe should be written. Moreover “slightly” is not the right word to use here, it seems to be 50 %.

Please introduce the collagen gel model in the materials and methods. What is beta-Glu? It is not introduced anywhere and why is it used as a control? The author should somehow provide evidence that their model is tight by use of a gold particle labeled with an irrelevant peptide or dextran of similar size. EM images could be relevant here as a supplement.

Figure 5 and 6 should also include a comparison of Pep-L and Pep-L* and Pep10 and pep10*. It does not make sense to compare the endocytosis of Pep10/pep10* in fig 5 and then use the L variant for “transcytosis” studies

Line 301-302; Transcytosis of TfR antibodies is perhaps not only dependent on affinity. The avidity also seems to be an important issue as demonstrated by several papers from Ryan Watts group and Per-Ola Fresgaard group. Avidity might be a factor an important for nanoparticles and it will be a nice aspect to include in the discussion.

Not all the peptides could be inhibited by Tf. Have the authors any idea whether these peptides can bind to other receptors?

Pep10 has been published in a local thesis. Are there any evidence that this peptide in fact binds to TfR or is it just an assumption? If there are could some of these data be included in this paper?

Reviewer #3: The authors investigated six polypeptides for their endocytosis and transcytosis in human brain endothelial line CMEC/D3 and mouse brain endothelial line B.end3 and the interference of albumin and transferrin on the endocytosis. The authors tagged gold nanoparticles with one of the peptides (the linear peptide) and observed increased uptake by the endothelial cells. The authors concluded that the attachment of TfR-targeting polypeptide significantly increased the rate of endocytosis and transcytosis by the endothelial cells. The experiments were well conducted and the data were well analyzed and presented. The following comments may need to be considered by the authors.

1. For the uptake assays via endocytosis, the authors did not describe how the background noise was subtracted. A control peptide (such as a scrambled peptide) should be included in the experiments to determine the random uptake of the peptide by the endothelial cells in comparison with specific TfR-mediated uptake.

2. Binding of the polypeptides to TfR: the authors did not provide any direct evidence that their polypeptides can physically interact with and bind to TfR although transferrin was shown to inhibit endocytosis of some polypeptides tested. The authors may need to consider performing SPR analysis or cross-link of the polypeptides to TfR or Co-IP with TfR to determine whether their polypeptides indeed physically bind to TfR.

3. Transcytosis assay: It is well known that the in vitro BBB models constituted by CMEC/D3 or B.end3 cell lines are very leaky. The authors did not describe how the collagen gel model was performed and whether there was any control molecule or control peptide to control the permeability and leakage of the model used.

4. A minor point is that the authors said in the manuscript that TfR is specifically expressed in brain endothelial cells. This is not true. A recent paper published in FBCNS analyzed the expression patterns of TfR and other RMT receptors in human and mouse brain vessels and peripheral tissues/vessels. The study found that TfR is also expressed in peripheral tissues and vessels. Thus, it is more accurate to say that TfR is more enriched in brain endothelial cells or expressed at a higher level in brain endothelial cells.

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

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PLoS One. 2021 Jun 4;16(6):e0252341. doi: 10.1371/journal.pone.0252341.r002

Author response to Decision Letter 0


29 Apr 2021

Reviewer #1:

1. Regarding the ”Materials and methods” part, the exact marking of the catalog number of the MVEC (Line 103) is missing, please correct it. The cell source has been added.

2. The ”Statistical Analysis” point is absent from the methods, authors should complete it. A paragraph on Statistical analysis has been added to the M&M section

3. Line 245: ”The nanoparticles were applied to a model of the blood-brain barrier with hCMEC/D3 cells on a collagen gel (27). ” I lack of the description of this BBB model from the ” Materials and methods” part. It would be more understandable if authors add this method to the manuscript. A section on the transport system has been added to the M&M section.

4. Line 187: ”Pep-1 and Pep-R1 both bound relatively strongly to MVECs…”

In Fig. 3, the Pep-1 and Pep-R2 seems to bind strongly to MVECs, please clarify this. This mistake has been corrected. (We thank the reviewer for their close attention to the text.)

5. It is not clear, why Pep-L is not present in Fig. 3, please explain it? The experiments in figure 3 were done before those described in figures 1 and 2. Pep-L was added to the study following the information in Figure 3. Since the binding of Pep-L to human and mouse endothelium had already been published [Ref 21], repeating the experiments with Pep-L would add no further information.

6. Finally, both the Pep-10 and Pep-L were chemically modified for gold nanoparticles, but only the Pep-L coupled with nanocarriers was tested on the BBB model, please clarify it. A sentence has been added to clarify why the specific modification (removal of -K-Fitc and addition of -CS) was made.

Reviewer #2:

My comments and suggestions are:

The aspect of TfR as a transcytosing receptor is important for this work. It has been questioning by many if Tf actually is transcytosed across the BBB and the data demonstrating transport of Tf is limiting. This is shortly mentioned in line 59-60 and statement is concluded on ref 14. Ref 14 is minor non peer received book chapter and not sufficient as reference for this discussion. In the light of the importance for the observed result this should be more intensely introduced/discussed. Please elaborate on this and find better evidence. Reference 14 has been replaced by a primary reference that discusses transcytosis of the Tfr and its potential for use as a transport carrier. Two additional sentences has been added to the text.

Line 39-40 (abstract); The provided data do not demonstrate any evidence of transcytosis as stated. This statement should be removed or demonstrated by a tight model (see also comment below). The word ‘transcytosis’ has been removed from the abstract and replaced with a more precise term.

Figure two is one time point taken from figure 1, just show as a histogram. Not necessary to display in two figures, at most it should be an A and B panel in one figure. Moreover, Fig 3 does not provide much to the paper and is the data form Fig 1 and 2 tested on other cells. Figures 1 and 2 have been combined into a two-part figure, A and B. The data in figure 3 is very important. It is essential to show that the peptides bind to both the human and mouse Tfr so that studies can be done in vivo in rodents in parallel with in vitro studies with human cells, using the same peptides. This point is made in the text.

Why is PEP10-M and Pep-L* not included in figure 1,2,3 and 4? Fif 5 show that it does influence on uptake, and it would be relevant for the data in figure 6 and the discussion. Pep10M was produced after the initial set of studies (identifying suitable peptides) since the unmodified peptide was not suitable for use in the exchange reaction. Pep-L* could not be used in the FACS studies (Figs 1-4) because it lacks a fluorescent tag.

A major lack of the article is the absence of kinetic data. More fluorescence in the cells measured by FACS could be a result of fast/low recycling, detaching from receptor, degradation. Statement of more strong binding (e.g. line 187 and other places) cannot be used here. Only binding data obtained from solid phase binding studies or isothermal titration calorimetry and provide these information’s. Also, the peptide has been ranked according to the rate of endocytosis (mentioned several times in the abstract). Again, I believe that more data regarding recycling possible transcytosis and degradation are needed to make these conclusions. Please convince me or rephrase. There is some kinetic data in figure 1A. However, in order to do the FACS, the endothelium is detached by trypsinisation to form a single cell suspension and the FACS measures endocytosed fluorescent peptide. It does not show the position of the Tfr, (As single cell suspensions, the cells no longer have an apical and basal membrane and many cell surface molecules are removed by trypsinisation.) This point has been added to the text.

What timepoint is used in figure 3 and later figures? Three hours as stated in the text (line 183).

Is it acceptable to use submitted material and Thesis as references? The thesis is published open access and obtainable from http://oro.open.ac.uk/55108/ This has been added to the reference list. It was hoped that the submitted paper would be published by the time this article was reviewed, but it is still undergoing revision so it has been removed, together with associated text.

Which are the two cyclic peptide that is referred to in the abstract (Pep-L, Pep-L*, Pep10 or Pep10-M). Pep-L* and Pep10-M should be included in figure 4 See reply to point above about the modified peptides and why they were not included in the FACS studies.

Line 215-216: “Pep-L was also partly inhibited by Tf, but…” It seems to me that that higher amount of Tf increase the fluorescence? The “No-addition” of BS and Tf of all peptides should be included in the figure. Figure 4A and 4B have been replaced with new figures that include the zero-dose point. (This now figure 3A and 3B). The addition of the extra dose-point does not change the fundamental result or conclusions of this experiment.

Line 234: “..it was slightly less effective..” With respect to what? Endocytosis I believe should be written. Moreover “slightly” is not the right word to use here, it seems to be 50 %. ‘slightly’ has been deleted.

Please introduce the collagen gel model in the materials and methods. What is beta-Glu? It is not introduced anywhere and why is it used as a control? The author should somehow provide evidence that their model is tight by use of a gold particle labeled with an irrelevant peptide or dextran of similar size. EM images could be relevant here as a supplement. A section has been added on the model. We have previously shown that nanoparticles move across the endothelium by vesicular transcytosis and via cytosolic diffusion. Those papers include many EM images - one additional reference has been added to this paper and a short addition to the text..

Figure 5 and 6 should also include a comparison of Pep-L and Pep-L* and Pep10 and pep10*. It does not make sense to compare the endocytosis of Pep10/pep10* in fig 5 and then use the L variant for “transcytosis” studies Pep-L was chosen because previous studies had shown that it bound the Tfr most effectively. It is not possible to compare Pep-L and Pep-L* in these assays. Pep-L lacks a cysteine and therefore cannot be attached to the NPs. Pep-L* lacks a Fitc tag and cannot be tracked in FACS.

Line 301-302; Transcytosis of TfR antibodies is perhaps not only dependent on affinity. The avidity also seems to be an important issue as demonstrated by several papers from Ryan Watts group and Per-Ola Fresgaard group. Avidity might be a factor an important for nanoparticles and it will be a nice aspect to include in the discussion. The Bien-Ly reference (34) from Ryan Watts group made this point in the original version. Two additional references have been added and an additional paragraph on this subject is included in the discussion.

Not all the peptides could be inhibited by Tf. Have the authors any idea whether these peptides can bind to other receptors? All the active peptides were isolated by binding to the TfR. They have not been formally tested for their ability to bind other receptors

Pep10 has been published in a local thesis. Are there any evidence that this peptide in fact binds to TfR or is it just an assumption? If there are could some of these data be included in this paper? Pep-10 was isolated by its ability to bind both mouse and human Tfr in vitro, and tested for binding in an ELISA-type assay. Reference 22 – available on Open access.

Reviewer #3:

1. For the uptake assays via endocytosis, the authors did not describe how the background noise was subtracted. A control peptide (such as a scrambled peptide) should be included in the experiments to determine the random uptake of the peptide by the endothelial cells in comparison with specific TfR-mediated uptake. The dextran control is used for non-specific endocytosis and the values in figure 1B are compared to this. Two peptides, R1 and R2 with similar size and charge to the active peptides (supplementary table 1), showed no significant difference from the dextran-endocytosis control. Although we agree that using scrambled peptides would be a better control, the results indicate that non-specific endocytosis is very limited and not significantly different from the (no reagent) negative control.

2. Binding of the polypeptides to TfR: the authors did not provide any direct evidence that their polypeptides can physically interact with and bind to TfR although transferrin was shown to inhibit endocytosis of some polypeptides tested. The authors may need to consider performing SPR analysis or cross-link of the polypeptides to TfR or Co-IP with TfR to determine whether their polypeptides indeed physically bind to TfR. See note above – all the active peptides, Pep1, Pep2 Pep10 and Pep-L were obtained by direct binding and selection of peptide libraries on pure human or mouse TfR in repeated rounds of selection followed by binding assays. Refs 21 and 22. We can therefore be certain that they bind TfR.

3. Transcytosis assay: It is well known that the in vitro BBB models constituted by CMEC/D3 or B.end3 cell lines are very leaky. The authors did not describe how the collagen gel model was performed and whether there was any control molecule or control peptide to control the permeability and leakage of the model used. As noted above, more data on the hydrogel model has been included together with 3 references on its characteristics in nanoparticle transport studies .

4. A minor point is that the authors said in the manuscript that TfR is specifically expressed in brain endothelial cells. This is not true. A recent paper published in FBCNS analyzed the expression patterns of TfR and other RMT receptors in human and mouse brain vessels and peripheral tissues/vessels. The study found that TfR is also expressed in peripheral tissues and vessels. Thus, it is more accurate to say that TfR is more enriched in brain endothelial cells or expressed at a higher level in brain endothelial cells. This point was made in the Introduction and is supported by ref. 10.

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Decision Letter 1

Mária A Deli

14 May 2021

Comparison of polypeptides that bind the transferrin receptor for targeting gold nanocarriers.

PONE-D-21-03180R1

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Reviewer #2: The manuscript would have benefitted from more kinetic experiments and perhaps some visual imaging demonstration uptake. But the authors have addressed the comments and I have no further comments.

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Acceptance letter

Mária A Deli

18 May 2021

PONE-D-21-03180R1

Comparison of polypeptides that bind the transferrin receptor for targeting gold nanocarriers.

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If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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Associated Data

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

    Supplementary Materials

    S1 Table. Specific fluorescence and concentrations of peptides in culture, net charge at pH 7 and proportion of hydrophobic residues.

    (DOCX)

    S1 Fig. Dose dependency of endocytosis of Pep-10 and Pep-L by hCMEC/D3 cells.

    (DOCX)

    S2 Fig. Expression of TfR on hCMEC/D3 cells measured by cell-surface ELISA.

    (DOCX)

    Attachment

    Submitted filename: Response to referees.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting information files.


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