Health
Acute antagonism in three-drug combinations for vaginal HIV prevention in humanized mice
BLT hu-mouse study design and efficacy endpoints
The BLT hu-mouse model is well-established in HIV-1 prevention research20,24. Humanization of the immune system in these mice is achieved by implanting human fetal liver and thymus tissues under the kidney capsule of immunodeficient NOD-scid gamma chain knockout (NSG), followed by administration of autologous human fetal liver CD34+ cells (human hematopoietic stem and progenitor cells, HSPCs). T-cell education occurs in the human thymic tissue leading to complete systemic reconstitution of all major human hematopoietic lineages, including T, B, monocyte/macrophage, dendritic, and natural killer cells. Importantly, the extensive systemic and genital mucosal reconstitution with human lymphoid cells renders female BLT hu-mice susceptible to vaginal HIV-1 infection. We verified the degree of humanization of the BLT mice at 20 weeks of age, 10 weeks post-CD34+ HSPC injection, as in previous studies25,26,27. Only mice that met the humanization targets determined previously28 (> 65% of CD45+ cells and > 70% of CD3+ and CD4+ cells) were used in infection studies.
The overall vaginal HIV-1 prevention study design using female BLT hu-mice has been described previously25,26,27, and is shown schematically in Fig. 1. Either 8 or 10 mice per group were employed. The statistical power resulting from these group sizes was calculated using two-sided binomial tests, and has been reported previously27. Viral RNA was measured in plasma at 1, 2, 3, 6, and 12 weeks post challenge to determine if infection occurred.
A diagonal, constant, equipotency ratio combination design21 (see Supplementary Data S1–S4 for drug dosing concentrations) was used to minimize the number of animal groups used, while still allowing the quantitative study endpoints to be met. Typically, 5–6 drug concentrations per group were used (N = 8–10 mice each, vide supra). Initially, we determined the ED50 values (the dose required to achieve 50% protection from HIV-1 infection) for drugs administered individually, allowing combination experiments to be designed. The ED50 and ED90 values calculated here allow for standardized comparison of drug potencies and form important inputs to the empirical analysis of drug combination effects (vide infra). However, they should not be viewed at concentration targets for vaginal HIV-1 PrEP products, as these would need to be higher, predicated by safety, to maximize duration of efficacy.
For three-drug combinations, we created equipotency ratio combinations based on multiples (1/3, 1, and 3) of the individual drugs’ vaginal ED50 values (Supplementary Data S3). A subsequent study using three additional dosing groups determined based on the pilot study results was used to fill in gaps in the dose–response relationships (Supplementary Data S4). This approach was facilitated by the high reproducibility in humanization of the mice observed in previous studies25,26,27.
Dose–response and slope parameters for single antiretroviral drug regimens
We have previously measured the vaginal HIV-1 prevention dose–response characteristics of single agents spanning a range of antiviral mechanisms of action, namely: TDF25, a prodrug and nucleotide analog reverse transcriptase inhibitor competing with adenosine monophosphate; FTC25, a nucleoside analog reverse transcriptase inhibitor competing with cytidine; C5A26, a broadly antiviral, 18-amino acid, linear peptide that disrupts the viral membrane; and VRC01-N27, a broadly neutralizing antibody (bNAb) against HIV-1. Here, we add efficacy data for two further ARV drugs from different mechanistic classes to our in vivo HIV-1 prevention dataset.
The dose–response relationships for the chemokine co-receptor 5 (CCR5) antagonist maraviroc (MVC, N = 8 per dosing group, 5 groups, Supplementary Data S1) and the integrase strand transfer inhibitor (ISTI) elvitegravir (EVG, N = 8 per dosing group, 5 groups, Supplementary Data S2) are presented in Fig. 2.
The compounds exhibited sigmoidal dose–effect HIV-1 prevention curves analogous to those observed in our previous studies with TDF, FTC, C5A, and VRC01-N. Key pharmacodynamic (efficacy) parameters from the single drug systems shown in Fig. 2, along with data from previous studies25,26, re-analyzed using boundary conditions consistent with the current analysis (see “Methods”), were calculated using the median-effect Eq. 21 and are presented in Table 1.
The median-effects plots21,22 allowed a number of key parameters to be calculated (Fig. 2B,D, Table 1), based on the condition that the mass-action principle be followed by the system under investigation. This criterion, defined by R2 values greater than 0.9 for in vivo studies21,22, was met in the above vaginal challenge studies (Table 1). The x-intercept [y = log (Fa/Fu) = 0] corresponds to the potency parameter, Dm, or the dose needed to achieve the median-effect, denoted here as ED50. The slope, or m-value, is the shape parameter and defines the sigmoidicity of dose–effect curve. In cases when m = 1, the dose–effect curve is hyperbolic (e.g., Michaelis–Menten kinetics), while it is sigmoidal when m ≠ 1. The greater the m-value, the greater the sigmoidicity leading to steeper dose–response relationship (i.e., lower increase in dose concentration needed to achieve a given increase in effect, Fa), a desirable characteristic for HIV-1 PrEP. Finally, m < 1 represents a relatively rare system, typically suggestive of allosterism via drug binding at receptor or enzyme sites (i.e., negative cooperativity).
We selected EVG and C5A as antiviral agents for further evaluation as triple-drug combinations with TDF-FTC (vide infra) based on the understanding that both agents have widely disparate mechanisms of action. The ISTI EVG acts in HIV-1 target cells supporting viral replication, while the antiviral peptide C5A disrupts the viral envelope before HIV-1 binds host cells26,29. We omitted MVC from additional studies in part based on funding limitations, and because it had ca. fivefold lower potency compared to EVG (ED90, Table 1). Council et al. used the BLT hu-mouse model to show that topically applied MVC prevented vaginal HIV-1 infection in the presence of semen30. Both EVG and MVC are FDA-approved ARV agents to treat HIV-1 infection that are being explored for vaginal HIV-1 prevention18,31,32,33 and we plan to include MVC in future studies.
Empirical analysis of drug combination effects on HIV-1 preventative efficacy
The median-effect (Chou-Talalay) model based on mass action21,22 integrates foundational biochemical and biophysical equations (see “Discussion”). It does not require a preexisting knowledge of underlying mechanisms and is used for quantitative pharmacodynamic analysis of dose–effect relationships in complex biological systems. The analytical approach is particularly powerful for empirically unraveling the effects of two or more agents administered in combination. The median-effect model was applied to analyze data from vaginal HIV-1 prevention studies in BLT hu-mice dosed topically with TDF-FTC-EVG (Fig. 3) and TDF-FTC-C5A (Fig. 4). The goal of these studies was to determine if the slight-moderate antagonism observed previously25 between the nucleos
Sources 2/ https://www.nature.com/articles/s41598-023-31695-5 The mention sources can contact us to remove/changing this article |
What Are The Main Benefits Of Comparing Car Insurance Quotes Online
LOS ANGELES, CA / ACCESSWIRE / June 24, 2020, / Compare-autoinsurance.Org has launched a new blog post that presents the main benefits of comparing multiple car insurance quotes. For more info and free online quotes, please visit https://compare-autoinsurance.Org/the-advantages-of-comparing-prices-with-car-insurance-quotes-online/ The modern society has numerous technological advantages. One important advantage is the speed at which information is sent and received. With the help of the internet, the shopping habits of many persons have drastically changed. The car insurance industry hasn't remained untouched by these changes. On the internet, drivers can compare insurance prices and find out which sellers have the best offers. View photos The advantages of comparing online car insurance quotes are the following: Online quotes can be obtained from anywhere and at any time. Unlike physical insurance agencies, websites don't have a specific schedule and they are available at any time. Drivers that have busy working schedules, can compare quotes from anywhere and at any time, even at midnight. Multiple choices. Almost all insurance providers, no matter if they are well-known brands or just local insurers, have an online presence. Online quotes will allow policyholders the chance to discover multiple insurance companies and check their prices. Drivers are no longer required to get quotes from just a few known insurance companies. Also, local and regional insurers can provide lower insurance rates for the same services. Accurate insurance estimates. Online quotes can only be accurate if the customers provide accurate and real info about their car models and driving history. Lying about past driving incidents can make the price estimates to be lower, but when dealing with an insurance company lying to them is useless. Usually, insurance companies will do research about a potential customer before granting him coverage. Online quotes can be sorted easily. Although drivers are recommended to not choose a policy just based on its price, drivers can easily sort quotes by insurance price. Using brokerage websites will allow drivers to get quotes from multiple insurers, thus making the comparison faster and easier. For additional info, money-saving tips, and free car insurance quotes, visit https://compare-autoinsurance.Org/ Compare-autoinsurance.Org is an online provider of life, home, health, and auto insurance quotes. This website is unique because it does not simply stick to one kind of insurance provider, but brings the clients the best deals from many different online insurance carriers. In this way, clients have access to offers from multiple carriers all in one place: this website. On this site, customers have access to quotes for insurance plans from various agencies, such as local or nationwide agencies, brand names insurance companies, etc. "Online quotes can easily help drivers obtain better car insurance deals. All they have to do is to complete an online form with accurate and real info, then compare prices", said Russell Rabichev, Marketing Director of Internet Marketing Company. CONTACT: Company Name: Internet Marketing CompanyPerson for contact Name: Gurgu CPhone Number: (818) 359-3898Email: [email protected]: https://compare-autoinsurance.Org/ SOURCE: Compare-autoinsurance.Org View source version on accesswire.Com:https://www.Accesswire.Com/595055/What-Are-The-Main-Benefits-Of-Comparing-Car-Insurance-Quotes-Online View photos
to request, modification Contact us at Here or [email protected]