Using QCM-D in the development of broad-spectrum antiviral drugs
Malin Edvardsson Jan 11, ’22 < 17 min

Using QCM-D in the development of broad-spectrum antiviral drugs

Considering the ongoing Covid-19 pandemic, and the tremendous negative impact it has had, and still has, antiviral drug development is a highly relevant topic. Here we present two studies where QSense QCM-D technology was used to explore viral membrane disruption and an antiviral strategy towards pandemic preparedness.

Explore a lipid-based platform design for antiviral drug development

The work here presented is based on a review paper, ref [1] and references therein, particularly refs [2-3]. It spans extensive research that has been going on for more than a decade and it builds on several studies. Specifically, we will here focus on two studies mentioned in the review – studies where QCM-D was used as one of the tools to explore a lipid-based platform design for antiviral drug development.

A broad-spectrum antiviral strategy

Before we move on to the case examples, let’s start with a bit of a background. The corona virus, Sars-CoV-2, which we are all now very familiar with, is a so-called enveloped virus. Many viral epidemics over the past decade have been caused by membrane-enveloped viruses, for example Ebola and Zika. Therefore, there is a great need to develop antiviral strategies to treat and prevent enveloped virus infections. Ideally, such an antiviral strategy would be broad spectrum, i.e., it would not only target one single virus, but multiple viruses. This would help us deal with both current viruses and make us prepared for future, so far unknown, ones. For an antiviral strategy to work on multiple viruses, you would have to target a feature or characteristic that these viruses have in common. In the case of enveloped viruses, this common feature is the viral envelope.

Target the Achilles heel of enveloped viruses

The viral envelope is a phospholipid membrane-based coating which is necessary for virus structural integrity. It is also critical for viral infection. This means that if this membrane somehow could be destroyed, the enveloped virus would be disabled, or disarmed. There are several antiviral strategies that are targeting the phospholipid membrane. One such strategy is viral membrane disruption. Here, we will briefly present two studies that use QSense QCM-D explore the phenomenon of viral membrane disruption.

QCM-D analysis of membrane−peptide interactions and membrane disruption

Study A: Use QCM-D to analyze membrane−peptide interactions and membrane disruption

One way to induce membrane disruption is to use peptides with membrane-disruptive properties. In this example, which is based on the study in reference [2] they use QCM-D and such a peptide to analyze membrane−peptide interaction and membrane disruption. This study was, however, not made in the context of antiviral strategies, but in the context of creating planar lipid bilayers. At the end of the example, you will see the benefit with this study in an antiviral strategy context.

Forcing formation of lipid bilayers

Planar lipid bilayers are problematic to form on certain solid substrates, such as Au and TiO2. In this study, the goal was to explore if a peptide, with membrane-disruptive properties, could be used to force vesicle rupture to form bilayers on such substrates. Specifically, the authors wanted to characterize membrane − peptide interactions and vesicle rupture on the mentioned Au and TiO2 substrates, and they used QCM-D to explore and answer the questions

  • What does the membrane-peptide interaction dynamic look like?
  • Will high quality planar lipid bilayers form on Au and TiO2?

QCM-D analysis of membrane−peptide interaction and vesicle rupture

To answer the questions above, QCM-D experiments were designed according to the following - the surface materials of interest, Au and TiO2, were exposed to small POPC vesicles, followed by two rinse steps. Next, the surface adhering lipid structures were exposed to a peptide with membrane disruptive properties, an amphipathic α-helix (AH) peptide. This was then followed by two rinse steps.

Experimental study A-4

Results study A

QCM-D measurement data for two experiments, POPC only and POPC followed by AH-peptide, on the respective two surfaces Au and TiO2 are shown in Fig. 1

QCM-D analysis lipid-based platform

Figure 1. QCM-D analysis of membrane - peptide interaction and membrane disruption. The graphs show POPC vesicle exposure to (top) Au and (bottom) TiO2 surfaces, followed by exposure to AH peptide (right graphs). The experimental sequence is as follows: baseline in buffer, 1) POPC vesicles, 2) buffer rinse, 3) buffer rinse, 4) AH peptide, 5) buffer rinse, 6) buffer rinse.

Vesicle adsorption to Au and TiO2

Looking at the data of the two left graphs in Fig. 1, it is noted that the vesicle introduction on both Au and TiO2 results in a large and distinct decrease in Δf and a corresponding increase in ΔD. This behavior is a characteristic signature of vesicle adsorption and the formation of a layer of intact vesicles at the surface.

Vesicle rupture

In the two graphs to the right, the measurements again start with vesicle introduction, resulting in the formation of layers of intact vesicles on both Au and TiO2. Then, after two buffer rinses, AH peptide is introduced (step 4 in Fig. 1, right). The addition of AH-peptide results in decrease in Δf and increase in ΔD, followed by abrupt increase in Δf and abrupt decrease in ΔD. The response indicates that the AH peptide initially interacts with the intact vesicle layer, resulting in a mass uptake. Next, the peptide induces vesicle rupture, showing as distinct mass loss and the characteristic signature of vesicle rupture and fusion to form supported lipid bilayers on both surfaces. I.e., the addition of AH-peptide results in vesicle rupture and fusion to form planar bilayers on both Au and TiO2.

Takeaway study A

The study shows that high quality lipid bilayers easily can be formed on materials where this previously was not so straight forward. Another relevant takeaway from this, and similar studies, is that surface-adsorbed lipid vesicles can serve as a useful model system for enveloped virus particles. Such a model membrane platform, which mimics the enveloped virus particles, can be used to explore, for example, membrane−peptide interaction, and to analyze rupture of the viral envelope in various contexts. Several studies have been made using QCM-D in combination with this viral-membrane-mimicking platform to explore the rupture-efficiency and various aspects of this model system. In study B, below, the researchers used this viral-membrane mimicking platform to evaluate the influence of vesicle size.

Use QCM-D to analyze rupture of lipid vesicles by a Broad-Spectrum Antiviral Peptide

Study B: Using QCM-D to analyze rupture of lipid vesicles by a Broad-Spectrum Antiviral Peptide and the influence of vesicle size

The size of virus particles varies. For example, mosquito-borne viruses, such as Zika and Dengue, are approximately 50 nm diameter, and coronaviruses, such as MERS and SARS-CoV-2, are typically ~100 nm diameter. It is therefore important to understand the size dependence of the rupture efficiency to know which viruses that could be deactivated with a specific antiviral peptide. In this example, which is based on the study in ref [3], the authors scrutinized the peptide-induced vesicle rupture kinetics, and the influence of vesicle size. Specifically, they used QCM-D to explore and answer the following questions

  • What does the vesicle – peptide interaction look like as a function of vesicle size?
  • What is the size range of vesicles that can be ruptured by AH peptide?

QCM-D analysis of membrane−peptide interaction and vesicle rupture

To answer the questions above, QCM-D experiments similar to the ones in study A were designed. Au sensors, which are known to result in adsorption of intact vesicles, were exposed to POPC vesicles of different sizes, ranging from ~58 nm - ~925 nm in diameter. Next, the intact vesicle adlayers were exposed to the amphipathic α-helix (AH) peptide.

Experimental study B


Results study B

Measurement data for three representative experiments of vesicles adsorption to Au and subsequent exposure to AH-peptide are shown in Fig. 2. Each of the graphs A, B and C represent a vesicle size category, 'small', 'medium' and 'large'.

QCM-D analysis of AH peptide vesicle interaction

Figure 2. QCM-D analysis of membrane - peptide interaction and membrane disruption as a function of vesicles size. The graphs show three represen­tative experiments of POPC vesicle exposure to Au followed by AH peptide for the respective size categories, A) small vesicles, B) medium vesicles, C) large vesicles.


Vesicles of different size adsorbing

The Au surfaces are exposed to vesicles of different sizes, and like the results in study A, we note the characteristic signature vesicle adsorption and the formation of close-packed, intact vesicle adlayers, Fig. 2. The magnitude of the Δf and ΔD shifts differ between Figs. 2A, B and C which reflect the vesicles size; the larger the vesicle diameter, the larger the magnitude of the shifts.

Influence of vesicle size on binding interaction of AH peptide

When the respective vesicle layer was exposed to AH-peptide, three categories of vesicle – peptide interaction kinetics were observed, each behavior shown by the representative graphs in Figs. 2A, B and C. The category 'small' vesicles, Fig. 2A, vesicles where Ø < 80 nm, showed a complete vesicle rupture and formation of a planar bilayer. This is the same behavior that was observed in study A. The introduction of the AH-peptide results in an initial interaction with the intact vesicle layer, as revealed by a decrease in Δf and an increase in ΔD, whereafter the characteristic signature of vesicle rupture and fusion are observed. In the category 'medium' sized vesicles, where the vesicles are in the size range 94 < Ø < 161 nm, Fig. 2B, incomplete vesicle rupture was observed. The decrease in Δf and increase in ΔD shows that there is some interaction of the peptide with the intact vesicle layer. Thereafter, there is some vesicle rupture, as indicated by a slight increase in Δf and a corresponding decrease in ΔD. The third category is that of 'large' vesicles, vesicles Ø > 241 nm. The data, Fig. 2C, shows that there is minimal vesicle rupture in this category, and that the predominant event observed is AH peptide binding.

Takeaway study B

The study shows that there is a size dependent peptide - membrane interaction behavior, and three categories of interaction kinetics are observed. As all publications discussed in this overview, this work includes much more detailed analysis than here described. One of the key conclusions mentioned in the study is that the AH peptide may target enveloped viruses up to 160 nm diameter.


Concluding remarks on the exploration of a lipid-based platform design for antiviral drug development

A large fraction of recent epidemics has been caused by membrane-enveloped viruses, and there is a great need to develop antiviral strategies to treat and prevent such virus infections. Even though the vaccine development was incredibly fast this time, the losses of lives, health and wealth have been major. And, perhaps some, or all these losses could have been avoided had we been better prepared.

This case example was based on a review paper that addresses the development of broad-spectrum antiviral drugs, which would help us towards pandemic preparedness. The review discusses that the viral envelope is an opportune target for broad-spectrum antiviral strategies. It expands on several approaches to these viruses by targeting the viral membrane, and one of the strategies discussed is viral membrane disruption via the usage of peptides with membrane disruptive properties.

In the exploration and development towards such antiviral solutions, surface sensitive technologies, combined with viral-membrane mimicking platforms, are useful. One example is QSense QCM-D technology in combination with surface-adsorbed vesicles. This setup has been used in several studies to evaluate the membrane-disruptive properties of different antiviral peptides, and to assess various membrane architectures. These studies are leading the development of next-generation antiviral strategies, that might not only work against current enveloped viruses, but which may also prepare us for future ones.

Learn more about QSense analysis in virus research

Download the overview to for additional case examples that show how QSense QCM-D technology is used in virus research

Overview  QSense analysis in Virus research  Download

References

  1. Kyeong Yoon, et. al., ACS Nano 2021, 15, 1, 125–148; Stopping Membrane-Enveloped Viruses with Nanotechnology Strategies: Toward Antiviral Drug Development and Pandemic Preparedness
  2. J., Cho, et. al., J. Am. Chem. Soc. 2007, 129, 33, 10050–10051; Employing an Amphipathic Viral Peptide to Create a Lipid Bilayer on Au and TiO2
  3. A. Jackman, et. al., J. Phys. Chem. B 2013, 117, 50, 16117–16128; Rupture of Lipid Vesicles by a Broad-Spectrum Antiviral Peptide: Influence of Vesicle Size

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