Protein Drug Research Articles

Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.

Integrated analyses of plasma proteomics and genetic data in prospective studies can help assess the causal relevance of proteins, improve risk prediction, and discover novel protein drug targets for type 2 diabetes (T2D). We measured plasma levels of 2,923 proteins using Olink Explore among ∼2,000 randomly selected participants from China Kadoorie Biobank (CKB) without prior diabetes at baseline. Cox regression assessed associations of individual protein with incident T2D (n = 92 cases). Proteomic-based risk models were developed with discrimination, calibration, reclassification assessed using area under the curve (AUC), calibration plots, and net reclassification index (NRI), respectively. Two-sample Mendelian randomization (MR) analyses using cis-protein quantitative trait loci identified in a genome-wide association study of CKB and UK Biobank for specific proteins were conducted to assess their causal relevance for T2D, along with colocalization analyses to examine shared causal variants between proteins and T2D. Overall, 33 proteins were significantly associated (false discovery rate < 0.05) with risk of incident T2D, including IGFBP1, GHR, and amylase. The addition of these 33 proteins to a conventional risk prediction model improved AUC from 0.77 (0.73-0.82) to 0.88 (0.85-0.91) and NRI by 38%, with predicted risks well calibrated with observed risks. MR analyses provided support for the causal relevance for T2D of ENTR1, LPL, and PON3, with replication of ENTR1 and LPL in Europeans using different genetic instruments. Moreover, colocalization analyses showed strong evidence (pH4 > 0.6) of shared genetic variants of LPL and PON3 with T2D. Proteomic analyses in Chinese adults identified novel associations of multiple proteins with T2D with strong genetic evidence supporting their causal relevance and potential as novel drug targets for prevention and treatment of T2D.

Reversible Assembly of Proteins and Phenolic Polymers for Intracellular Protein Delivery with Serum Stability.

The design of intracellular delivery systems for protein drugs remains a challenge due to limited delivery efficacy and serum stability. Herein, we propose a reversible assembly strategy to assemble cargo proteins and phenolic polymers into stable nanoparticles for this purpose using a heterobifunctional adaptor (2-formylbenzeneboronic acid). The adaptor is easily decorated on cargo proteins via iminoboronate chemistry and further conjugates with catechol-bearing polymers to form nanoparticles via boronate diester linkages. The nanoparticles exhibit excellent serum stability in culture media but rapidly release the cargo proteins triggered by lysosomal acidity and GSH after endocytosis. In a proof-of-concept animal model, the strategy successfully transports superoxide dismutase to retina via intravitreal injection and efficiently ameliorates the oxidative stress and cellular damage in the retina induced by ischemia-reperfusion (I/R) with minimal adverse effects. The reversible assembly strategy represents a robust and efficient method to develop serum-stable systems for the intracellular delivery of biomacromolecules.

Assessment of monoclonal antibody glycosylation: a comparative study using HRMS, NMR, and HILIC-FLD.

Monoclonal antibodies (mAbs) represent the largest class of therapeutic protein drug products. mAb glycosylation produces a heterogeneous, analytically challenging distribution of glycoforms that typically should be adequately characterized because glycosylation-based product quality attributes (PQAs) can impact product quality, immunogenicity, and efficacy. In this study, two products were compared using a panel of analytical methods. Two high-resolution mass spectrometry (HRMS) workflows were used to analyze N-glycans, while nuclear magnetic resonance (NMR) was used to generate monosaccharide fingerprints. These state-of-the-art techniques were compared to conventional analysis using hydrophilic interaction chromatography (HILIC) coupled with fluorescence detection (FLD). The advantages and disadvantages of each method are discussed along with a comparison of the identified glycan distributions. The results demonstrated agreement across all methods for major glycoforms, demonstrating how confidence in glycan characterization is increased by combining orthogonal analytical methodologies. The full panel of methods used represents a diverse toolbox that can be selected from based on the needs for a specific product or analysis.

Abstract LB045: Exploiting biparatopic binding to deliver novel, differentiated ALPP/ALPPL2 targeting protein drug conjugates

Abstract The placental alkaline phosphatases ALPP and ALPPL2 are attractive targets for antibody and protein-drug conjugate (ADC and PDC) approaches. These GPI-anchored cell-surface proteins, which share very high sequence identity, are over-expressed in a number of different solid tumor indications including testicular, ovarian, endometrial, gastric, pancreatic and non-small cell lung cancers but have very little expression on normal adult tissues. Consequently, there is significant interest in exploiting ALPP/ALPPL2 for the development of new targeted oncology therapeutics, and an ALPP/ALPPL2 ADC, utilizing a classical full-length IgG antibody, is currently in Phase I clinical trials. The exploitation of biparatopic binding is an attractive approach for improving the therapeutic index of ADCs. This mode of target engagement increases the effective number of binding sites on the tumor cells and can promote internalisation and trafficking, thereby delivering increased efficacy for the same payload bolus and opening up patient populations with lower target expression. This can lead to a widening of the therapeutic window, by improving the efficacy achievable for a given amount of payload administered (often defined as the “platform” toxicity). For the development of biparatopic conjugates, the use of small protein domain binders offers advantages over the use of full-length antibodies, as they can readily be reformatted into a variety of biparatopic architectures to deliver homogeneous drug conjugates in high yield. Additionally, smaller protein formats have the capacity to penetrate deeper into solid tumors than large antibodies. We have identified a series of highly selective, high affinity ALPP/ALPPL2 single domain VHH binders, which target distinct epitopes on the protein and which, importantly, show no binding to the closely related ALPI or ALPL isoforms (which have high normal tissue expression). Using protein engineering approaches, a series of homogenous site-specifically labelled biparatopic PDCs have been developed employing the clinically validated vcMMAE (vedotin) payload. In pre-clinical studies, these PDC agents demonstrate excellent anti-tumor efficacy in vivo in ALPP/ALPPL2 positive cell-line derived xenograft models of gastric, pancreatic and ovarian cancer displaying a range of target expression. In benchmarking studies, lead biparatopic PDCs show increased internalisation and target-mediated in vitro cell kill potency compared to an ALPP/ALPPL2 targeting ADC. Additionally, in multiple CDX models, lead biparatopic PDCs demonstrate improved efficacy over an ALPP/ALPPL2 ADC both on a mg/kg and on a payload equivalents basis, in both single dose and multi-dose studies, providing complete regressions. Based on this excellent efficacy profile and favourable developability characteristics, preclinical development activities have been initiated. Citation Format: Graham Cotton, Estelle G. McLean, Paul Trumper, Mark Wappett, Stephanie Gatdula, Stacey Bell, Greg Papadakos, Kieron Lucas, Stephanie Burton, Chiara Saladino, Georgiana Parau, Aidan McCann, Jennifer Thom, Aaron N. Cranston, Tim Harrison. Exploiting biparatopic binding to deliver novel, differentiated ALPP/ALPPL2 targeting protein drug conjugates [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB045.

Novel EDTA mediated ethanol protein precipitation method and the application for polysorbate quantification in high protein concentration biopharmaceuticals

Non-ionic surfactants such as Polysorbate 20/ 80 (PS20/ PS80), are commonly used in protein drug formulations to increase protein stability by protecting against interfacial stress and surface absorption. Polysorbate is susceptible to degradation which can impact product stability, leading to the formation of sub-visible and/or visible particles in the drug product during its shelf-life, affecting patient safety and efficacy. Therefore, it is important to monitor polysorbate concentration in drug product formulations of biotherapeutic drugs. The common method for measuring polysorbate concentration in drug product formulations uses mixed mode ion exchange reversed phase HPLC (MAX) coupled to evaporative light scattering detection (ELSD). However, high protein concentration can adversely impact method performance due to high sample viscosity, gel formation, column clogging, interfering peaks and loss of accuracy. To overcome this, a new method was developed based on EDTA mediated ethanol protein precipitation (EDTA/EtOH). This method was successfully implemented for the analysis of polysorbate in antibody formulations with wide range of protein concentration (10-250mg/mL).

HydraProt: A New Deep Learning Tool for Fast and Accurate Prediction of Water Molecule Positions for Protein Structures.

Water molecules are integral to the structural stability of proteins and vital for facilitating molecular interactions. However, accurately predicting their precise position around protein structures remains a significant challenge, making it a vibrant research area. In this paper, we introduce HydraProt (deep Hydration of Proteins), a novel methodology for predicting precise positions of water molecule oxygen atoms around protein structures, leveraging two interconnected deep learning architectures: a 3D U-net and a Multi-Layer Perceptron (MLP). Our approach starts by introducing a coarse voxel-based representation of the protein, which allows for rapid sampling of candidate water positions via the 3D U-net. These water positions are then assessed by embedding the water-protein relationship in the Euclidean space by means of an MLP. Finally, a postprocessing step is applied to further refine the MLP predictions. HydraProt surpasses existing state-of-the-art approaches in terms of precision and recall and has been validated on large data sets of protein structures. Notably, our method offers rapid inference runtime and should constitute the method of choice for protein structure studies and drug discovery applications. Our pretrained models, data, and the source code required to reproduce these results are accessible at https://github.com/azamanos/HydraProt.

Graphormer supervised de novo protein design method and function validation.

Protein design is central to nearly all protein engineering problems, as it can enable the creation of proteins with new biological functions, such as improving the catalytic efficiency of enzymes. One key facet of protein design, fixed-backbone protein sequence design, seeks to design new sequences that will conform to a prescribed protein backbone structure. Nonetheless, existing sequence design methods present limitations, such as low sequence diversity and shortcomings in experimental validation of the designed functional proteins. These inadequacies obstruct the goal of functional protein design. To improve these limitations, we initially developed the Graphormer-based Protein Design (GPD) model. This model utilizes the Transformer on a graph-based representation of three-dimensional protein structures and incorporates Gaussian noise and a sequence random masks to node features, thereby enhancing sequence recovery and diversity. The performance of the GPD model was significantly better than that of the state-of-the-art ProteinMPNN model on multiple independent tests, especially for sequence diversity. We employed GPD to design CalB hydrolase and generated nine artificially designed CalB proteins. The results show a 1.7-fold increase in catalytic activity compared to that of the wild-type CalB and strong substrate selectivity on p-nitrophenyl acetate with different carbon chain lengths (C2-C16). Thus, the GPD method could be used for the de novo design of industrial enzymes and protein drugs. The code was released at https://github.com/decodermu/GPD.

Abstract 3126: A novel pegylated bispecific antibody-drug conjugate (P-BsADC) JY207b targeting cancers co-expressing PD-L1 and CD47

Abstract ADCs have showed improved efficacy and target selectivity comparing to the non-specific small molecule cytotoxicity drugs. However, conventional IgG based ADC has been hindered in solid tumor therapies by the poor tumor penetration, low internalization efficiency, unexpected efflux from tumor cells, and narrow therapeutic window due to the on target/off tumor toxicity, etc. To address these issues, we have developed the pegylated bispecific ADC platform and proved the concept with JY207, which targets PD-L1 and CD47 with a 30k PEG-MMAE linker-payload. JY207 has demonstrated advantages in tumor penetration, internalization efficiency, without efflux post internalization, lacking Fc related toxicity, and better tumor inhibition than DS-8201a in a model positive for Her2, PD-L1 and CD47. In this study, we further improved the compound by site-specific conjugating the fusion protein of two scFvs that target PD-L1 and CD47, with a 40K PEG-MMAE linker-payload. As expected, the new compound JY207b retained all the advantages of JY207. Additionally, JY207b did not bind to human red blood cells at all even though an ultra-sensitive detection method was employed, while CD47 antibodies with reported low affinity bound &amp;gt;90% red blood cells under our ultra-sensitive detection method. Meanwhile, JY207b could still preferentially bind to CD47/PD-L1 double positive tumor cells, thus reducing the possibility of on-target toxicities. In the in vitro cytotoxicity assays, the compound JY207b demonstrated strong potencies in CD47/PD-L1 double positive tumor cells, with almost no killing effect to CD47 or PD-L1 single positive tumor cells. In CDX models and a PDX model of transplanted tumor tissues from lung cancer patients, the compound JY207b demonstrated strong tumor inhibition efficacies at low doses. More interestingly, although the elimination half-life (T1/2) of JY207b in mice is 59.17±3.824 hours, the elimination time of JY207b in tumors is beyond 1 week by the IVIS imaging examination, which allows for weekly dosing in PK unfavorable mouse animals for pegylated protein drugs. Moreover, preliminary repeated-dosing toxicological study has found the maximum tolerated dose of JY207 in CD47/PD-L1 double transgenic mice to be 50mg/kg. These studies suggested favorable anti-tumor effect of JY207 both in vitro and in vivo, and its mechanism of action has been well described. These findings provide evidence for the efficacy of JY207 as a clinical treatment for patients with CD47/PD-L1 double positive cancers. Citation Format: Yu (Yvonne) Wen, Shumin Liu, Weidong Lyu, Yang Lei, Shuangyu Tan, Zibin Wu, Shuqiang Yin, Qiudong Zhuo, Dechun Wu. A novel pegylated bispecific antibody-drug conjugate (P-BsADC) JY207b targeting cancers co-expressing PD-L1 and CD47 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3126.

Abstract 5776: Target identification, selectivity profiling and binding site mapping of small molecule and peptide drugs by LiP-MS

Abstract Target identification in the cellular context is a critical step for both target-based and phenotypic drug discovery. Limited proteolysis coupled with mass spectrometry (LiP-MS) has emerged as a powerful technique for target deconvolution of small molecules or peptides in cell lysate without compound modification or genetic manipulation of cell lines [1,2,3,4]. Utilizing a non-specific protease under well-controlled conditions, LiP-MS exploits drug-induced structural alteration or steric hindrance on protein targets and utilizes quantitative mass spectrometry to probe over 250’000 peptides covering more than 9000 proteins in the proteome. To aid target ID, this workflow incorporates a 7-concentration dose response experiment and a machine-learning framework [1] to compute a LiP-score to rank identified target proteins, as well as predict potential binding site. In this study, we present target deconvolution results on four small molecule compounds and one peptide compound with very distinct pharmacological profile: 1) staurosporine, a broad-specific kinase inhibitor; 2) roniciclib, a failed clinical-stage pan-CDK inhibitor; 3) selumetinib, an allosteric, non-ATP-competitive MEK 1 and 2 inhibitor; 4) NST-628, a newly developed non-degradating molecular glue inhibiting the RAS/MAPK pathway; and 5) Acetyl-calpastatin, a 24 amino-acid polypeptide inhibitor of calpain 1 and 2. Target ID experiment with staurosporine and roniciclib yielded &amp;gt; 150 and 68 kinase targets were identified respectively. For the pan-kinase inhibitor roniciclib, both cell-cycle CDKs (CDK1/cyclin B, CDK2/cyclin E, CDK4 cyclin D) and transcriptional CDK9 were among the targets. For Selumetinib, LiP-score ranking identified MEK1 and MEK2 as the top two targets, and only kinases among a total of 23 targets. Furthermore, mapping the LiP-peptides from this experiment onto MEK1 showed that they are in close proximity to the selumetinib allosteric binding site on co-crystal structure. Last but not least, we assessed the target landscape of NST-628, a novel non-degrading molecular glue and identified MEK1 and MEK2 clearly as the primary targets. This finding is in line with orthogonal data obtained from X-ray crystallography [5]. Collectively, this data demonstrates that LiP-MS can be deployed to effectively identify protein drug targets and predict binding sites in complex cellular millieu independent of the compound’s mechanism of action and without compound modification or labeling. These capabilities make LiP-MS a powerful addition to the target deconvolution toolbox. [1] Piazza and Beaton et al. Nature Comm 2020 [2] Hendricks and Beaton et al. ACS Chem Bio 2021 [3] AACR 2022 [4] AACR 2023 [5] AACR-NCI-EORTC 2023 Citation Format: Fabio Sabino, Martin Soste, Dominique Kamber, Maria Stella Ritorto, Klaus Hoeflich, Michael Hale, Bradley Quade, Xin Huang, Nigel Beaton, Roland Bruderer, Yuehan Feng, Lukas Reiter. Target identification, selectivity profiling and binding site mapping of small molecule and peptide drugs by LiP-MS [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5776.

Abstract 6703: Innovative mRNA strategies to encode CD19/CD3 T cell engagers in the treatment of B cell hematological malignancies

Abstract The advent of T Cell Engager (TCE) immunotherapies marks a transformative shift in cancer treatment paradigms, introducing a novel action mechanism. Blinatumomab, a bispecific CD19/CD3 TCE, has shown remarkable efficacy in treating refractory or relapsed B-cell Acute Lymphoblastic Leukaemia (B-ALL), including cases resistant to conventional chemotherapy, leading to its global approval for B-ALL management. Despite its pronounced clinical success, Blinatumomab faces challenges with patient adherence, primarily due to the protein’s short half-life. This necessitates continuous administration requested 24 hours injection throughout the treatment course. Additionally, the drug’s association with the induction of cytokine release syndrome (CRS), presumably linked to the hyperactivation of the cytokine network, presents a significant concern. To address these limitations, we leverage mRNA modality to develop innovative therapeutic mRNAs encoding CD19/CD3 TCE. These mRNA drugs hold the potential to improve protein exposure in vivo with a steady production of encoded protein in-situ. On the other hand, with the gradual expression of protein, mRNA shifted the transient, “pulse”-like pharmacokinetic (PK) feature of the protein drugs to a more “plateau”PK curve, which allows a natural priming of T cells to reduce the risk of CRS induction. In this work, we developed a series of mRNAs encoding CD19/CD3 TCE through our mRNA technology platform and LNP delivery platform. Comparative analyses demonstrated that the TCEs produced in vivo by these mRNAs match the structure and function of recombinantly expressed proteins. PK studies in both mice and non-human primates confirmed a favorable PK profile with over 10-fold increase in TCE exposure compared to their protein counterparts. This increased exposure correlated with superior antitumor efficacy in both ALL and lymphoma models, evidenced by the potent effects of single mRNA doses compared to multiple doses of protein-based treatments. Meanwhile IL6 cytokines induced in mRNA treated mice were significantly alleviated than those in protein treated animals, indicating a reduced risk of induction of CRS. One candidate mRNA demonstrated an optimal "plateau" pharmacokinetic profile, achieving extensive target cell eradication over 20 days with a single low dose of 0.001 mpk in non-human primates. An investigator-initiated clinical study with mRNA encoding CD19/CD3 TCE is underway in relapsed and/or refractory acute lymphoblastic leukemia patients. The preliminary data from the on-going study showed ABO2015 with an acceptable safety profile, and activation of peripheral T cells was observed in one patient with low dose. These findings underscore the significant clinical potential of mRNA-encoded CD19/CD3 TCE in treating B-cell malignancies, heralding a paradigm shift in the clinical application of protein-based T cell engagers. Citation Format: Xia Zhong, Liang Du, Zhenxing Yang, Xiaoli Xu, Jijun Yuan, Bo Ying. Innovative mRNA strategies to encode CD19/CD3 T cell engagers in the treatment of B cell hematological malignancies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6703.

Freezing-mediated formation of supraproteins using depletion forces

HypothesisLong-acting formulations such as microparticles, injectable depots and implantable devices can realize spatiotemporally controlled delivery of protein drugs to extend their therapeutic in vivo half-lives. To efficiently encapsulate the protein drugs into such drug delivery systems, (sub)micron-sized protein particles are needed. The formation of micronized supraproteins can be induced through the synergistic combination of attractive depletion forces and freezing. The size of the supraproteins can be fine-tuned from submicron to several microns by adjusting the ice crystallization rate through the freeze-quench depth, which is set by the target temperature.MethodsSupraprotein micron structures were prepared from protein solutions under various conditions in the presence and absence of nonadsorbing polyethylene glycol. Scanning electron microscopy and dynamic light scattering were employed to determine the sizes of the supraproteins and real-time total internal reflection fluorescent microscopy was used to follow the supraprotein formation during freezing. The protein secondary structure was measured before and after micronization by circular dichroism. A phase diagram of a protein–polyethylene glycol mixture was theoretically predicted to investigate whether the depletion interaction can elucidate the phase behavior.FindingsMicronized protein supraparticles could be prepared in a controlled manner by rapid freeze-drying of aqueous mixtures of bovine serum albumin, horseradish peroxidase and lysozyme mixed with polyethylene glycol. Upon freezing, the temperature quench initiates a phase separation process which is reminiscent of spinodal decomposition. This demixing is subsequently arrested during droplet phase separation to form protein-rich microstructures. The final size of the generated protein microparticles is determined by a competition between phase separation and cooling rate, which can be controlled by target temperature. The experimental phase diagram of the aqueous protein–polyethylene glycol dispersion aligns with predictions from depletion theory for charged colloids and nonadsorbing polymers.

DeepPLM_mCNN: An approach for enhancing ion channel and ion transporter recognition by multi-window CNN based on features from pre-trained language models

Accurate classification of membrane proteins like ion channels and transporters is critical for elucidating cellular processes and drug development. We present DeepPLM_mCNN, a novel framework combining Pretrained Language Models (PLMs) and multi-window convolutional neural networks (mCNNs) for effective classification of membrane proteins into ion channels and ion transporters. Our approach extracts informative features from protein sequences by utilizing various PLMs, including TAPE, ProtT5_XL_U50, ESM-1b, ESM-2_480, and ESM-2_1280. These PLM-derived features are then input into a mCNN architecture to learn conserved motifs important for classification. When evaluated on ion transporters, our best performing model utilizing ProtT5 achieved 90% sensitivity, 95.8% specificity, and 95.4% overall accuracy. For ion channels, we obtained 88.3% sensitivity, 95.7% specificity, and 95.2% overall accuracy using ESM-1b features. Our proposed DeepPLM_mCNN framework demonstrates significant improvements over previous methods on unseen test data. This study illustrates the potential of combining PLMs and deep learning for accurate computational identification of membrane proteins from sequence data alone. Our findings have important implications for membrane protein research and drug development targeting ion channels and transporters. The data and source codes in this study are publicly available at the following link: https://github.com/s1129108/DeepPLM_mCNN.

Near-infrared light-activated smart nanogels for remotely controlled cytochrome c release and photodynamic therapy

The utilization of reactive oxygen species (ROS) generated through photodynamic therapy (PDT) for remote-controlled release of protein drugs at specific sites using near-infrared light represents a groundbreaking development in protein delivery system innovation. To illustrate this principle, we engineered near-infrared light-activated smart nanogels (NASNs) by chemically cross-linking ROS-responsive linkages within hyaluronic acid-graft-methoxy poly(ethylene glycol)-diethylenetriamine-grafted-chlorine e6 (Ce6) polymer (HA-PEG-Dien-g-Ce6) and carboxylated thioketal (TK) serving as a cross-linker to enable PDT-driven cytochrome c (CC) liberation. The NASNs demonstrated substantial loading capacity and exceptional stability across diverse biological settings, attributed to the robust nature of the TK bond. Notably, CC-loaded NASNs effectively penetrated A549 cells via CD44-mediated endocytosis and rapidly escaped from the endo-lysosomal compartment. Upon light activation, the Ce6 produced ROS, leading to TK bond disruption in NASNs, and consequent release of encapsulated CC. This precise, photo-induced PDT mechanism and CC liberation markedly enhanced antitumor efficacy while maintaining minimal toxicity, establishing a solid foundation for remote, as-needed protein delivery systems and potential integration with additional therapeutic modalities.

Structure and function of therapeutic antibodies approved by the US FDA in 2023.

In calendar year 2023, the United States Food and Drug Administration (US FDA) approved a total of 55 new molecular entities, of which 12 were in the class of therapeutic antibodies. Besides antibody protein drugs, the US FDA also approved another five non-antibody protein drugs, making the broader class of protein drugs about 31% of the total approved drugs. Among the 12 therapeutic antibodies approved by the US FDA, 8 were relatively standard IgG formats, 3 were bivalent, bispecific antibodies and 1 was a trivalent, bispecific antibody. In 2023, no new antibody-drug conjugates, immunocytokines or chimeric antigen receptor-T cells were approved. Of the approved antibodies, two targeted programmed cell death receptor-1 (PD-1) for orphan indications, two targeted CD20 for diffuse large B cell lymphoma, two targeted different receptors (B-cell maturation antigen [BCMA] and G-coupled protein receptor class C, group 5, member D [GPRC5D]) for treatment of multiple myeloma, and one each that targeted amyloid-β protofibrils for Alzheimer's disease, neonatal Fc receptor alpha-chain for myasthenia gravis, complement factor C5 for CD55 deficiency with hyper-activation of complement, angiopathic thrombosis and severe protein-losing enteropathy disease, interleukin (IL)-23p19 for severely active ulcerative colitis, IL-17A-F for plaque psoriasis and respiratory syncytial virus (RSV)-F protein for season-long RSV prophylaxis in infants.

Mechanically Active Supramolecular Systems

Mechanical sensing and transduction are integral to biological systems and have inspired research into the regulation of supramolecular self‐assembly via mechanical forces. This review presents an inaugural discussion on mechanically active supramolecular systems. It focuses on two primary mechanisms for modulating these systems: the incorporation of mechanophores and the application of mechanical forces to modulate non‐covalent interactions. Challenging the traditional view of mechanical forces as solely destructive, their constructive potential when harnessed through sophisticated design is showcased. Investigation is done on how external forces like ultrasound, stirring, vortex, tension, and compression can induce fluorescence in π‐conjugated systems, initiate hydrogelation, propel non‐equilibrium self‐assembly, and affect the structure of vesicles. The review also casts light on the prospective uses of mechanically active supramolecular systems in areas such as protein activation, drug delivery, and stress sensing, illustrating the nuanced role of mechanical forces as both disruptors and enablers in the creation of functional materials.

A phenotypic screen of the Global Health Priority Box identifies an insecticide with anthelmintic activity

BackgroundInfection with parasitic nematodes (helminths), particularly those of the order Strongylida (such as Haemonchus contortus), can cause significant and burdensome diseases in humans and animals. Widespread drug (anthelmintic) resistance in livestock parasites, the absence of vaccines against most of these nematodes, and a lack of new and effective chemical entities on the commercial market demands the discovery of new anthelmintics. In the present study, we searched the Global Health Priority Box (Medicines for Malaria Venture) for new candidates for anthelmintic development.MethodsWe employed a whole-organism, motility-based phenotypic screening assay to identify compounds from the Global Health Priority Box with activity against larvae of the model parasite H. contortus, and the free-living comparator nematode Caenorhabditis elegans. Hit compounds were further validated via dose–response assays, with lead candidates then assessed for nematocidal activity against H. contortus adult worms, and additionally, for cytotoxic and mitotoxic effects on human hepatoma (HepG2) cells.ResultsThe primary screen against H. contortus and C. elegans revealed or reidentified 16 hit compounds; further validation established MMV1794206, otherwise known as ‘flufenerim’, as a significant inhibitor of H. contortus larval motility (half-maximal inhibitory concentration [IC50] = 18 μM) and development (IC50 = 1.2 μM), H. contortus adult female motility (100% after 12 h of incubation) and C. elegans larval motility (IC50 = 0.22 μM). Further testing on a mammalian cell line (human hepatoma HepG2 cells), however, identified flufenerim to be both cytotoxic (half-maximal cytotoxic concentration [CC50] < 0.7 μM) and mitotoxic (half-maximal mitotoxic concentration [MC50] < 0.7 μM).ConclusionsThe in vitro efficacy of MMV1794206 against the most pathogenic stages of H. contortus, as well as the free-living C. elegans, suggests the potential for development as a broad-spectrum anthelmintic compound; however, the high toxicity towards mammalian cells presents a significant hindrance. Further work should seek to establish the protein–drug interactions of MMV1794206 in a nematode model, to unravel the mechanism of action, in addition to an advanced structure–activity relationship investigation to optimise anthelmintic activity and eliminate mammalian cell toxicity.Graphical

Polydopamine-Coated Polymer Nanofibers for In Situ Protein Loading and Controlled Release.

Nanofibrous polymeric materials, combined with protein therapeutics, play a significant role in biomedical and pharmaceutical applications. However, the upload of proteins into nanofibers with a high yield and controlled release has been a challenging issue. Here, we report the in situ loading of a model protein (bovine serum albumin) into hydrophilic poly(vinyl alcohol) nanofibers via ice-templating, with a 100% protein drug loading efficiency. These protein-loaded nanofibers were further coated by polydopamine in order to improve the nanofiber stability and achieve a controlled protein release. The mass ratio between poly(vinyl alcohol) and bovine serum albumin influenced the percentage of proteins in composite nanofibers and fiber morphology. More particles and less nanofibers were formed with an increasing percentage of bovine serum albumin. By varying the coating conditions, it was possible to produce a uniform polydopamine coating with tunable thickness, which acted as an additional barrier to reduce burst release and achieve a more sustained release profile.

How are we handling protein drugs in hospitals? A human factors and systems engineering approach to compare two hospitals and suggest a best practice.

Biopharmaceuticals are complex biological molecules that require careful storage and handling to ensure medication integrity. In this study, a work system analysis of real-world protein drug (PD) handling was performed with the following goals: identify main barriers and facilitators for successful adherence to accepted recommendations in PD handling, analyse differences in two organizations, and define a Best Current Practice in the real-life handling of PDs based on the results of the work system analysis. Observational study was held in two university hospitals in Spain and Sweden. Based on the Systems Engineering Initiative for Patient Safety (SEIPS) model, the tools chosen were: the PETT scan, in order to indicate the presence of barriers or facilitators for the PETT components (People, Environment, Tools, Tasks); the Tasks and tools matrices to construct a checklist to record direct observations during the real-life handling of biopharmaceuticals, and the Journey map to depict the work process. Observations were performed between March and November 2022. Each episode of direct observation included a single protein drug in some point of the supply chain and considered all the elements in the work system. Based on the results of the work system analysis and the literature review, the authors propose a list of items which could be assumed as Best Current Practice for PDs handling in hospitals. There were a total of 34 observations involving 19 PDs. Regarding People involved in the work process, there was a diversity of professionals with different previous training and knowledge, leading to an information gap. With respect to Environment, some structural and organizational differences between hospitals lead to risks related to the time exposure of PDs to room temperature and mechanical stress. Some differences also existed in the Tools and Tasks involved in the process, being especially relevant to the lack of compatibility information of PDs with new technologies, such as pneumatic tube system, robotic reconstitution, or closed-system transfer devices. Finally, 15 suggestions for best current practice are proposed. Main barriers found for compliance with accepted recommendations were related to the information gap detected in professionals involved in the handling of protein drugs, unmonitored temperature, and the lack of compatibility information of protein drugs with some new technologies. By applying a Human Factors and Systems Engineering Approach, the comparison of two European hospitals has led to a suggested list of Best Current Practices in the handling of protein drugs in a hospital.

Passivating the Background of Living Microbes with a Zwitterionic Peptide for Therapies.

Living microbial therapies have been proposed as a course of action for a variety of diseases. However, problematic interactions between the host immune system and the microbial organism present significant clinical concerns. Previously, we developed a genetically encoded superhydrophilic zwitterionic peptide, termed EKP, to mimic low-immunogenic zwitterionic materials, which have been used for the chemical modification of biologics such as protein and nucleic acid drugs to increase their in vivo circulation time and reduce their immunogenicity. Herein, we demonstrate the protective effects of the EKP polypeptide genetically cloaking the surface of Saccharomyces cerevisiae as a model microbe in both in vitro and in vivo systems. First, we show that EKP peptide cloaking suppresses the interactions between yeast cells and their specific antibodies, thereby illustrating its cloaking behavior. Then, we examine the in vitro interactions between EKP peptide surface cloaked yeast cells and murine macrophage cells, which exhibit phagocytotic behavior in the presence of foreign microbes. Our results indicate that EKP cloaking suppresses macrophage interactions and thus reduces phagocytosis. Furthermore, EKP cloaked yeast cells demonstrate a prolonged circulation time in mice in vivo.

Engineering Matrix-Free Drug Protein Nanoparticles with Promising Penetration through Biobarriers for Treating Corneal Neovascularization.

Protein drugs have been widely used in treating various clinical diseases because of their high specificity, fewer side effects, and favorable therapeutic effect, but they greatly suffer from their weak permeability through tissue barriers, high sensitivity to microenvironments, degradation by proteases, and rapid clearance by the immune system. Herein, we disrupted the standard protocol where protein drugs must be delivered as the cargo via a delivery system and innovatively developed a free entrapping matrix strategy by simply mixing bevacizumab (Beva) with zinc ions to generate Beva-NPs (Beva-Zn2+), where Beva is coordinatively cross-linked by zinc ions with a loading efficiency as high as 99.2% ± 0.41%. This strategy was universal to generating various protein NPs, with different metal ions (Cu2+, Fe3+, Mg2+, Sr2+). The synthetic conditions of Beva-NPs were optimized, and the generated mechanism was investigated in detail. The entrapment, releasing profile, and the bioactivities of released Beva were thoroughly studied. By using in situ doping of the fourth-generation polyamindoamine dendrimer (G4), the Beva-G4-NPs exhibited extended ocular retention and penetration through biobarriers in the anterior segment through transcellular and paracellular pathways, effectively inhibiting corneal neovascularization (CNV) from 91.6 ± 2.03% to 13.5 ± 1.87% in a rat model of CNV. This study contributes to engineering of protein NPs by using a facile strategy for overcoming the weaknesses of protein drugs and protein NPs, such as weak tissue barrier permeability, low encapsulation efficiency, poor loading capacity, and susceptibility to inactivation.