Collapsed Star Copolymers Exhibiting Near Perfect Mimicry of the Therapeutic Protein "TRAIL".

Here we introduce amphiphilic star polymers as versatile protein mimics capable of approximating the activity of certain native proteins. Our study focuses on designing a synthetic polymer capable of replicating the biological activity of TRAIL, a promising anticancer protein that shows very poor circulation half-life. Successful protein mimicry requires precise control over the presentation of receptor-binding peptides from the periphery of the polymer scaffold while maintaining enough flexibility for protein-peptide binding. We show that this can be achieved by building hydrophobic blocks into the core of a star-shaped polymer, which drives unimolecular collapse in water. By screening a library of diblock copolymer stars, we were able to design structures with IC50's of ∼4 nM against a colon cancer cell line (COLO205), closely approximating the activity of the native TRAIL protein. This finding highlights the broad potential for simple synthetic polymers to mimic the biological activity of complex proteins.

Digitalization of Colorimetric Sensor Technologies for Food Safety.

Colorimetric sensors play a crucial role in promoting on-site testing, enabling the detection and/or quantification of various analytes based on changes in color. These sensors offer several advantages, such as simplicity, cost-effectiveness, and visual readouts, making them suitable for a wide range of applications, including food safety and monitoring. A critical component in portable colorimetric sensors involves their integration with color models for effective analysis and interpretation of output signals. The most commonly used models include CIELAB (Commission Internationale de l'Eclairage), RGB (Red, Green, Blue), and HSV (Hue, Saturation, Value). This review outlines the use of color models via digitalization in sensing applications within the food safety and monitoring field. Additionally, challenges, future directions, and considerations are discussed, highlighting a significant gap in integrating a comparative analysis toward determining the color model that results in the highest sensor performance. The aim of this review is to underline the potential of this integration in mitigating the global impact of food spoilage and contamination on health and the economy, proposing a multidisciplinary approach to harness the full capabilities of colorimetric sensors in ensuring food safety.

Peptide-Conjugated Micelles Make Effective Mimics of the TRAIL Protein for Driving Apoptosis in Colon Cancer.

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) drives apoptosis selectively in cancer cells by clustering death receptors (DR4 and DR5). While it has excellent in vitro selectivity and toxicity, the TRAIL protein has a very low circulation half-life in vivo, which has hampered clinical development. Here, we developed core-cross-linked micelles that present multiple copies of a TRAIL-mimicking peptide at its surface. These micelles successfully induce apoptosis in a colon cancer cell line (COLO205) via DR4/5 clustering. Micelles with a peptide density of 15% (roughly 1 peptide/45 nm2) displayed the strongest activity with an IC50 value of 0.8 µM (relative to peptide), demonstrating that the precise spatial arrangement of ligands imparted by a protein such as a TRAIL may not be necessary for DR4/5/signaling and that a statistical network of monomeric ligands may suffice. As micelles have long circulation half-lives, we propose that this could provide a potential alternative drug to TRAIL and stimulate the use of micelles in other membrane receptor clustering networks.

On efficient posterior inference in normalized power prior Bayesian analysis.

The power prior has been widely used to discount the amount of information borrowed from historical data in the design and analysis of clinical trials. It is realized by raising the likelihood function of the historical data to a power parameter δ ∈ [ 0 , 1 ] $\delta \in [0, 1]$ , which quantifies the heterogeneity between the historical and the new study. In a fully Bayesian approach, a natural extension is to assign a hyperprior to δ such that the posterior of δ can reflect the degree of similarity between the historical and current data. To comply with the likelihood principle, an extra normalizing factor needs to be calculated and such prior is known as the normalized power prior. However, the normalizing factor involves an integral of a prior multiplied by a fractional likelihood and needs to be computed repeatedly over different δ during the posterior sampling. This makes its use prohibitive in practice for most elaborate models. This work provides an efficient framework to implement the normalized power prior in clinical studies. It bypasses the aforementioned efforts by sampling from the power prior with δ = 0 $\delta = 0$ and δ = 1 $\delta = 1$ only. Such a posterior sampling procedure can facilitate the use of a random δ with adaptive borrowing capability in general models. The numerical efficiency of the proposed method is illustrated via extensive simulation studies, a toxicological study, and an oncology study.

A High Throughput Approach for Designing Polymers That Mimic the TRAIL Protein.

We have leveraged a high throughput approach to design a fully synthetic polymer mimic of the chemotherapeutic protein "TRAIL". Our design enables the synthesis of libraries of star-shaped polymers presenting exactly one receptor binding peptide at the end of each arm with no purification steps. Clear structure-activity relationships in screening for receptor binding and the apoptotic activity on colon cancer lines (COLO205) led us to identify trivalent structures, ∼1.5 nm in hydrodynamic radius as the best mimics. These showed IC50 values ∼2 µM and resulted in the elevated levels of caspase-8 expected from this mechanism of cell death. Our results demonstrate the potential for HTP screening methods to be used in the design of polymers that can mimic a whole range of complex therapeutic proteins.

Delivering hydrophilic peptide inhibitors of heat shock protein 70 into cancer cells.

Heat shock protein 70 (Hsp70) plays a major role in protein folding and has emerged as an attractive target in a wide range of cancers. Here we used a polymer nanogel to deliver two hydrophilic peptide inhibitors that block the interaction between the C-terminus of Hsp70 and heat shock organizing protein (HOP). The nanogels are able to load ∼200 wt% of the peptide inhibitors from solution via simple agitation at pH 7, and release them after cell uptake. Delivery of Hsp70 inhibitors to HCT116 cancer cells produced a clear Hsp70 inhibition phenotype: downregulation of client proteins glucocorticoid receptor (GR), immunophilins (FKBP51 and FKBP52), the protein kinase Akt-1, as well as the co-chaperone CHIP, and they induce cancer cell death. These results showcase the advantages of using versatile nanogels for delivery of hydrophilic cargo such as peptides and demonstrate the viability of these peptide inhibitors for targeting the Hsp70-HOP interaction in a cellular system.

Assessing treatment benefit in the presence of placebo response using the sequential parallel comparison design.

In clinical trials, placebo response is considered a beneficial effect arising from multiple factors, including the patient's expectations for the treatment. Its presence makes the classical parallel study design suboptimal and can bias the inference. The sequential parallel comparison design (SPCD), a two-stage design where the first stage is a classical parallel study design, followed by another parallel design among placebo subjects from the first stage, was proposed to address the shortcomings of the classical design. In SPCD, in lieu of treatment effect, a weighted average of the mean treatment difference in Stage I among all randomized subjects and the mean treatment difference in Stage II among placebo non-responders was proposed as the efficacy measure. However, by linking two possibly different populations, this weighted average lacks interpretability, and the choice of weight remains controversial. In this work, under the principal stratification framework, we propose a causal estimand for the treatment effect under each of three clinically important principal strata: Always Responders, Never Responders, and Drug-only Responders. To make the stratum treatment effect identifiable, we introduce a set of assumptions and two sensitivity parameters. By further considering the strata as latent characteristics, the sensitivity parameters can be estimated. An extensive simulation study is conducted to evaluate the operating characteristics of the proposed method. Finally, we apply our method on the ADAPT-A study data to assess the benefit of low-dose aripiprazole adjunctive to antidepressant therapy treatment.

Long-term safety and efficacy of lumacaftor-ivacaftor therapy in children aged 6-11 years with cystic fibrosis homozygous for the F508del-CFTR mutation: a phase 3, open-label, extension study.

BACKGROUND: The safety and efficacy of 24 weeks of lumacaftor-ivacaftor combination therapy in children aged 6-11 years with cystic fibrosis homozygous for the F508del-CFTR mutation was previously shown in two phase 3 studies. Here, we report long-term safety and efficacy data. METHODS: In this phase 3, open-label, multicentre, extension study (study 110), we examined the long-term safety, tolerability, and efficacy of lumacaftor-ivacaftor in children pooled from two phase 3 parent studies (open-label study 011B and randomised, placebo-controlled study 109). The study was conducted at 61 clinics in the USA, Australia, Belgium, Canada, Denmark, France, Germany, Sweden, and the UK. Children with cystic fibrosis homozygous for the F508del-CFTR mutation who had received lumacaftor-ivacaftor or placebo in the parent studies were treated with lumacaftor-ivacaftor for up to 96 weeks; those who had received the combination therapy in the parent studies (the treatment-to-treatment group) received up to 120 weeks of treatment in total. Participants aged 6-11 years at the start of the parent study received lumacaftor 200 mg-ivacaftor 250 mg orally once every 12 h; those aged 12 years or older received lumacaftor 400 mg-ivacaftor 250 mg orally once every 12 h. The primary endpoint was safety and tolerability in all children who had received at least one dose of the study drug. Secondary endpoints included change from baseline in lung clearance index 2·5% (LCI2·5), sweat chloride concentration, body-mass index, and Cystic Fibrosis Questionnaire-Revised respiratory domain score. This extension study is registered with ClinicalTrials.gov, NCT02544451, and has been completed. FINDINGS: The extension study ran from Aug 13, 2015, to Aug 17, 2018. Of 239 children who enrolled in the study and received at least one dose of lumacaftor-ivacaftor, 215 (90%) completed 96 weeks of treatment. Most children (236 [99%] of 239 children) had adverse events that were mild (49 [21%] of 239) or moderate (148 [62%] of 239) in severity, and there was a low rate of adverse events leading to treatment discontinuation. The most frequently reported adverse events were common manifestations or complications of cystic fibrosis, such as cough and pulmonary exacerbation, or were consistent with the known safety profile of lumacaftor-ivacaftor in older children and adults. No new safety concerns were identified with extended lumacaftor-ivacaftor treatment. Children in the placebo-to-treatment group had improvements in efficacy endpoints consistent with those observed in the parent studies. Improvements observed in children treated with lumacaftor-ivacaftor in the parent study were generally maintained in the extension study. INTERPRETATION: Lumacaftor-ivacaftor therapy in children homozygous for F508del-CFTR who initiated treatment at age 6-11 years was generally safe and well tolerated, and efficacy was sustained for up to 120 weeks. These data support the long-term use of lumacaftor-ivacaftor to treat children aged 6 years and older who are homozygous for the F508del-CFTR mutation. FUNDING: Vertex Pharmaceuticals Incorporated.

MAXIMUM LIKELIHOOD ESTIMATION OF GAUSSIAN COPULA MODELS FOR GEOSTATISTICAL COUNT DATA.

This work investigates the computation of maximum likelihood estimators in Gaussian copula models for geostatistical count data. This is a computationally challenging task because the likelihood function is only expressible as a high dimensional multivariate normal integral. Two previously proposed Monte Carlo methods are reviewed, the Genz-Bretz and Geweke-Hajivassiliou-Keane simulators, and a new method is investigated. The new method is based on the so-called data cloning algorithm, which uses Markov chain Monte Carlo algorithms to approximate maximum likelihood estimators and their (asymptotic) variances in models with computationally challenging likelihoods. A simulation study is carried out to compare the statistical and computational efficiencies of the three methods. It is found that the three methods have similar statistical properties, but the Geweke-Hajivassiliou-Keane simulator requires the least computational effort. Hence, this is the method we recommend. A data analysis of Lansing Woods tree counts is used to illustrate the methods.

Synthesis and biological evaluation of 2,6-disubstituted-9H-purine, 2,4-disubstitued-thieno[3,2-d]pyrimidine and -7H-pyrrolo[2,3-d]pyrimidine analogues as novel CHK1 inhibitors.

Checkpoint kinase 1 (CHK1) inhibitors can potentiate the effectiveness of deoxyribonucleic acid (DNA) damaging agents in the treatment of cancer. A novel series of 2,6-disubstituted-9H-purine (3a-p, 5a and 5b), 2,4-disubstituted-thieno[3,2-d]pyrimidine (8a-c) and 2,4-disbustituted-7H-pyrrolo[2,3-d]pyrimidine (11a-c) analogues were designed and synthesized as potent CHK1 inhibitors. Compounds (3a, 3d, 3f and 3j-l) with 9H-purine core displayed more potent inhibition against CHK1. The most potent compound (3l) also exhibited low anti-proliferative effects towards HT29 and Hek293 cell lines. In addition, 3l showed strong potentiating effect (7-fold) on the anti-proliferative activity of gemcitabine towards HT29 cells. The results of cell cycle assay indicated that 3l could strikingly affect the cell cycle distribution of the gemcitabine-treated HT29 cells and induce a significant S phase accumulation. The kinase selectivity profile of 3l displayed acceptable selectivity against other kinases. These results rendered 3l a potent lead compound of CHK1 inhibitor for further investigation.

Design, synthesis and biological evaluation of novel 6-substituted pyrrolo [3,2-d] pyrimidine analogues as antifolate antitumor agents.

A series of novel 6-substituted pyrrolo[3,2-d]pyrimidine analogues (10a, 11a-13a, 15a, 17a, 18a, 27a and 28a) have been designed and synthesized as antifolate antitumor agents. The anti-proliferative activities of these compounds against HL60, A549, H1299, Hela, HCT116 and HT29 tumor cells were evaluated. Most of the compounds exhibited micromolar anti-proliferative potencies. Compound 15a, the most potent one, has GI50 value of 0.73, 1.72, and 8.92 µM against A549, H1299 and HL60 cells, respectively. The cell cycle distribution assay displayed that 15a could increase the accumulation of G2/M-phase cells. 15a showed low potency in induction of apoptosis. However, the inhibition of A549 cell colony formation was observed. These indicated that the tumor cell death relied on the irreversible effect of 15a on clonogenicity and cell proliferation. The identification of targeted pathway of 15a implied that the anti-proliferative potencies of 15a probably act through dual inhibition of thymidylate synthase (TS) and dihydrofolate reductase (DHFR).