The quest for down scale representativeness: how to exploit CFD to design a shear study for vaccines.

In this work, we exploit computational fluid dynamics (CFD) to evaluate stirred tank reactor (STR) process engineer parameters (PEP) and design a scale-down system (SDS) to be representative of the formulation and filling process steps for an Aluminum adjuvanted vaccine drug product (DP). To study the shear history in the SDS we used the concept of number of passages, combined with an appropriate stirring speed down scale strategy comprising of either (i) tip speed equivalence, widely used as a scale-up criterion for a shear-sensitive product, or (ii) rotating shear, a shear metric introduced by Metz and Otto in 1957 but never used as scaling criterion. The outcome of the CFD simulations shows that the tip equivalence generates a worst-case SDS in terms of shear, whereas the rotating shear scaling approach could be used to design a more representative SDS. We monitored the trend over time for "In Vitro Relative Potency" as DP Critical Quality Attribute for both scaling approaches, which highlighted the crucial role of choosing the appropriate scaling-down approach to be representative of the manufacturing scale during process characterization studies.

CMC Strategies and Advanced Technologies for Vaccine Development to Boost Acceleration and Pandemic Preparedness.

This review reports on an overview of key enablers of acceleration/pandemic and preparedness, covering CMC strategies as well as technical innovations in vaccine development. Considerations are shared on implementation hurdles and opportunities to drive sustained acceleration for vaccine development and considers learnings from the COVID pandemic and direct experience in addressing unmet medical needs. These reflections focus on (i) the importance of a cross-disciplinary framework of technical expectations ranging from target antigen identification to launch and life-cycle management; (ii) the use of prior platform knowledge across similar or products/vaccine types; (iii) the implementation of innovation and digital tools for fast development and innovative control strategies.

Clinically proven specification setting for a meningococcal serogroup a conjugate vaccine.

GSK is currently working to improve the commercial presentation of the licensed quadrivalent conjugate vaccine (Menveo) for use against meningococcal serogroup A, C, W, Y (MenACWY) infections. Menveo consists of a primary, lyophilized vial, containing the serogroup A antigen that is reconstituted with the content of a second, liquid, vial that contains the serogroup C, W, Y antigens, to give the final liquid MenACWY product. Since the MenA structure is prone to hydrolytic degradation in liquid formulations, we used mathematical models to rationally design a clinical Phase 2 development plan and provide end of shelf-life (EoSL) and release specification setting for the MenACWY liquid product. By using development and clinical stability data, statistical models were built and used to predict both the MenA free saccharide (FS) and O-Acetyl (OAc) content during long-term storage conditions at 5 °C and stressed (accelerated) stability studies at 15 °C, 22.5 °C, 25 °C, 37 °C and 50 °C. This approach allowed us to define an aging plan for the clinical material to reach at least the required levels of MenA FS and OAc levels at product EoSL. The clinical material was then exposed to a temperature of 22.5 ± 2.5 °C for 59 days to generate FS OAc content of about 35% and 40%, respectively, which was then delivered to the patients in the clinical trial. To the best of our knowledge, this work represents the first example in the field of vaccine research where statistical models have been used to rationally design tailored lots, with the goal of setting EoSL and release specification limits based on data collected on artificially aged clinical material, in which the FS and OAc levels tested were intended to support a product shelf-life of at least 24 months.

Correction to "NMR Assays for Estimating the O-Acetyl Content of Meningococcal Polysaccharide Serogroup A in Quadrivalent Conjugate Vaccine Formulation".

[This corrects the article DOI: 10.1021/acsomega.9b01678.].

NMR Assays for Estimating the O-Acetyl Content of Meningococcal Polysaccharide Serogroup A in Quadrivalent Conjugate Vaccine Formulation.

The use of multivalent glycoconjugate vaccines has dramatically contributed to reduce the incidence of meningococcal infectious disease. The advanced structural characterization of polysaccharide conjugates leads to enhancements in the quality and control of the products. Here, we report a novel nuclear magnetic resonance (NMR) method to confirm the identity and structural conformity (e.g., O-acetyl content) of saccharide antigens that comprise a licensed tetravalent meningococcal serogroups A, C, W, and Y vaccine. For the first time, the NMR methodology is applied on a formulation (licensed vaccine) containing a large excess of excipient (i.e., sucrose) without analytical sample pretreatment. This work confirms the applicability of a rapid and easy NMR assay on a multivalent conjugate vaccine, which might be extended to other combination vaccines that are already licensed or in clinical development.

Challenging clinically unresponsive medullary thyroid cancer: Discovery and pharmacological activity of novel RET inhibitors.

It is now known that "gain of function" mutations of RET (REarranged during Transfection) kinase are specific and key oncogenic events in the onset of thyroid gland cancers such as the Medullary Thyroid Carcinoma (MTC). Although a number of RET inhibitors exist and are capable of inhibiting RET variants, in which mutations are outside the enzyme active site, the majority becomes dramatically ineffective when mutations are within the protein active site (V804L and V804M). Pursuing a receptor-based virtual screening against the kinase domain of RET, we found that compound 5 is able to inhibit efficiently both wild type and V804L mutant RET. Compound 5 was able to significantly reduce proliferation of both commercially available TT cell lines and surgical thyroid tissues obtained from patients with MTC and displayed a suitable drug-like profile, thus standing out as a promising candidate for further development towards the treatment of clinically unresponsive MTC.

Targeting the minor pocket of C5aR for the rational design of an oral allosteric inhibitor for inflammatory and neuropathic pain relief.

Chronic pain resulting from inflammatory and neuropathic disorders causes considerable economic and social burden. Pharmacological therapies currently available for certain types of pain are only partially effective and may cause severe adverse side effects. The C5a anaphylatoxin acting on its cognate G protein-coupled receptor (GPCR), C5aR, is a potent pronociceptive mediator in several models of inflammatory and neuropathic pain. Although there has long been interest in the identification of C5aR inhibitors, their development has been complicated, as for many peptidomimetic drugs, mostly by poor drug-like properties. Herein, we report the de novo design of a potent and selective C5aR noncompetitive allosteric inhibitor, DF2593A, guided by the hypothesis that an allosteric site, the "minor pocket," previously characterized in CXC chemokine receptors-1 and -2, is functionally conserved in the GPCR class. In vitro, DF2593A potently inhibited C5a-induced migration of human and rodent neutrophils. In vivo, oral administration of DF2593A effectively reduced mechanical hyperalgesia in several models of acute and chronic inflammatory and neuropathic pain, without any apparent side effects. Mechanical hyperalgesia after spared nerve injury was also reduced in C5aR(-/-) mice compared with WT mice. Furthermore, treatment of C5aR(-/-) mice with DF2593A did not produce any further antinociceptive effect compared with C5aR(-/-) mice treated with vehicle. The successful medicinal chemistry strategy confirms that a conserved minor pocket is amenable for the rational design of selective inhibitors and the pharmacological results support that the allosteric blockade of the C5aR represents a highly promising therapeutic approach to control chronic inflammatory and neuropathic pain.

QSAR modeling and data mining link Torsades de Pointes risk to the interplay of extent of metabolism, active transport, and HERG liability.

We collected 1173 hERG patch clamp (PC) data (IC50) from the literature to derive twelve classification models for hERG inhibition, covering a large variety of chemical descriptors and classification algorithms. Models were generated using 545 molecules and validated through 258 external molecules tested in PC experiments. We also evaluated the suitability of the best models to predict the activity of 26 proprietary compounds tested in radioligand binding displacement (RBD). Results proved the necessity to use multiple validation sets for a true estimation of model accuracy and demonstrated that using various descriptors and algorithms improves the performance of ligand-based models. Intriguingly, one of the most accurate models uncovered an unexpected link between extent of metabolism and hERG liability. This hypothesis was fairly reinforced by using the Biopharmaceutics Drug Disposition Classification System (BDDCS) that recognized 94% of the hERG inhibitors as extensively metabolized in vivo. Data mining suggested that high Torsades de Pointes (TdP) risk results from an interplay of hERG inhibition, extent of metabolism, active transport, and possibly solubility. Overall, these new findings might improve both the decision making skills of pharmaceutical scientists to mitigate hERG liability during the drug discovery process and the TdP risk assessment during drug development.

Exploring the activation mechanism of TRPM8 channel by targeted MD simulations.

The TRPM8 cation channel belongs to the superfamily of transient receptor potential (TRP) channels. It is involved in non-painful cool sensation and triggered by diverse chemical and physical stimuli whose precise activation mechanism is still unknown. The study presents a set of targeted molecular dynamics (MD) simulations involving selected complexes of the TRPM8 channel whose homology model was recently generated by some of us. More in detail, the MD simulations concerned the TRPM8 alone and in complex with agonists and antagonists. These simulations were focused on voltage sensor module and designed to validate the ligand induced activation mechanism as hypothesized in our previous study. The obtained results are in encouraging agreement with the proposed mechanism and allow a clear discrimination between agonists and antagonists. In addition, the MD runs confirm that the agonist binding triggers a set of concatenate conformational shifts which induce the approaching of the S3 segment toward the S4 segment and culminate in an extension of the latter. By introducing suitable constraints, the reported MD simulations were rendered as fast as possible in order to achieve a truly productive compromise between reliability and computational costs. The obtained results emphasize that suitably targeted MD runs can be fast enough to be systematically applied to predict the bioactivity of large datasets providing it as an useful tool in rational ligand design process.

Aryltriflates as a Neglected Moiety in Medicinal Chemistry: A Case Study from a Lead Optimization of CXCL8 Inhibitors.

Interleukin-8 and growth related oncogene-α-chemokines (formerly CXCL8 and CXCL1, respectively) mediate chemotaxis of neutrophils to inflammatory sites via interactions with two transmembrane receptors, the type A CXCL8 receptor (CXCR1) and the type B CXCL8 receptor (CXCR2). In a previous work, we published the molecular modeling-driven structure activity relationship (SAR) results culminated in the discovery of R-(-)-2-[(4'-trifluoromethanesulphonyloxy)phenyl]-N-methanesulfonyl propionamide (19), in which an unusual aryltriflate moiety was embedded. Although triflates are broadly used in organic synthesis, this group is scarcely used in medicinal chemistry programs. Here we detail the drug profiling-driven approach used for the selection and characterization of 19, the most potent dual CXCR1 and CXCR2 noncompetitive inhibitor described to date. Reported data suggest that the aryltriflate moiety might represent a valid choice for the selection of clinical candidates with suitable druglike properties.

GPR55: Current knowledge and future perspectives of a purported "Type-3" cannabinoid receptor.

In the last decade, accumulated evidence highlighted that GPR55 might be activated by several classical cannabinoid ligands, making this orphan receptor the main candidate to be considered as the "third" cannabinoid receptor. The investigation of its pharmacology has often provided divergent and more intricate results that have complicated the understanding of the physiological role of GPR55. Nevertheless, the patent analysis regarding GPR55 outlines the fair interest of big pharmaceutical companies, especially in the first years of this decade. This investigation provides a brief overview of the current "state of the art" of our knowledge of GPR55, giving particular emphasis to its functional selectivity. This property could account for controversial roles of GPR55, whose pharmacology and downstream signaling is known to vary significantly both in ligand- and system-dependent manners. In addition, we gain insights into the challenging aspect of finding out novel GPR55 modulators, by analyzing conserved structural and functional motifs that, together with future studies, could help to elucidate its mechanism of action and to design more selective and potent small-molecules directed towards GPR55. Preliminary data highlight remarkable differences, but also intriguing commonalities, between GPR55 and other members of class A G protein-coupled receptors. It is anticipated that, in the next future, novel lead candidates targeting GPR55 could represent new tools to better understand GPR55-mediated human diseases and, hopefully, generate an innovative class of effective next-generation therapeutics.

Structure-Activity Relationship of novel phenylacetic CXCR1 inhibitors.

We reported recently the Structure-Activity Relationship (SAR) of a class of CXCL8 allosteric modulators. They invariably share a 2-arylpropionic moiety so far considered a key structural determinant of the biological activity. We show the results of recent SAR studies on a novel series of phenylacetic derivatives supported by a combined approach of mutagenesis experiments and conformational analysis. The results suggest novel insights on the fine role of the propionic/acetic chain in the modulation of CXCL8 receptors.

Design of noncompetitive interleukin-8 inhibitors acting on CXCR1 and CXCR2.

Chemokines CXCL8 and CXCL1 play a key role in the recruitment of neutrophils at the site of inflammation. CXCL8 binds two membrane receptors, CXCR1 and CXCR2, whereas CXCL1 is a selective agonist for CXCR2. In the past decade, the physiopathological role of CXCL8 and CXCL1 has been investigated. A novel class of small molecular weight allosteric CXCR1 inhibitors was identified, and reparixin, the first drug candidate, is currently under clinical investigation in the prevention of ischemia/reperfusion injury in organ transplantation. Reparixin binding mode to CXCR1 has been studied and used for a computer-assisted design program of dual allosteric CXCR1 and CXCR2 inhibitors. In this paper, the results of modeling-driven SAR studies for the identification of potent dual inhibitors are discussed, and three new compounds (56, 67, and 79) sharing a common triflate moiety have been selected as potential leads with optimized pharmacokinetic characteristics.

Predicting human serum albumin affinity of interleukin-8 (CXCL8) inhibitors by 3D-QSPR approach.

A novel class of 2-(R)-phenylpropionamides has been recently reported to inhibit in vitro and in vivo interleukin-8 (CXCL8)-induced biological activities. These CXCL8 inhibitors are derivatives of phenylpropionic nonsteroidal antiinflammatory drugs (NSAIDs), high-affinity ligands for site II of human serum albumin (HSA). Up to date, only a limited number of in silico models for the prediction of albumin protein binding are available. A three-dimensional quantitative structure-property relationship (3D-QSPR) approach was used to model the experimental affinity constant (K(i)) to plasma proteins of 37 structurally related molecules, using physicochemical and 3D-pharmacophoric descriptors. Molecular docking studies highlighted that training set molecules preferentially bind site II of HSA. The obtained model shows satisfactory statistical parameters both in fitting and predicting validation. External validation confirmed the statistical significance of the chemometric model, which is a powerful tool for the prediction of HSA binding in virtual libraries of structurally related compounds.

Noncompetitive allosteric inhibitors of the inflammatory chemokine receptors CXCR1 and CXCR2: prevention of reperfusion injury.

The chemokine CXC ligand 8 (CXCL8)/IL-8 and related agonists recruit and activate polymorphonuclear cells by binding the CXC chemokine receptor 1 (CXCR1) and CXCR2. Here we characterize the unique mode of action of a small-molecule inhibitor (Repertaxin) of CXCR1 and CXCR2. Structural and biochemical data are consistent with a noncompetitive allosteric mode of interaction between CXCR1 and Repertaxin, which, by locking CXCR1 in an inactive conformation, prevents signaling. Repertaxin is an effective inhibitor of polymorphonuclear cell recruitment in vivo and protects organs against reperfusion injury. Targeting the Repertaxin interaction site of CXCR1 represents a general strategy to modulate the activity of chemoattractant receptors.