Cardio- and Neurotoxicity of Selected Anti-COVID-19 Drugs.

Since December 2019, the novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected ~435 million people and caused ~6 million related deaths as of March 2022. To combat COVID-19, there have been many attempts to repurpose FDA-approved drugs or revive old drugs. However, many of the current treatment options have been known to cause adverse drug reactions. We employed a population-based drug screening platform using 13 human leukocyte antigen (HLA) homozygous human induced pluripotent cell (iPSC) lines to assess the cardiotoxicity and neurotoxicity of the first line of anti-COVID-19 drugs. We also infected iPSC-derived cells to understand the viral infection of cardiomyocytes and neurons. We found that iPSC-derived cardiomyocytes express the ACE2 receptor which correlated with a higher infection of the SARS-CoV-2 virus (r = 0.86). However, we were unable to detect ACE2 expression in neurons which correlated with a low infection rate. We then assessed the toxicity of anti-COVID-19 drugs and identified two cardiotoxic compounds (remdesivir and arbidol) and four neurotoxic compounds (arbidol, remdesivir, hydroxychloroquine, and chloroquine). These data show that this platform can quickly and easily be employed to further our understanding of cell-specific infection and identify drug toxicity of potential treatment options helping clinicians better decide on treatment options.

Harnessing natural-product-inspired combinatorial chemistry and computation-guided synthesis to develop N-glycan modulators as anticancer agents.

Modulation of N-glycosylation using human Golgi α-mannosidase II (α-hGMII) inhibitors is a potential anticancer approach, but the clinical utility of current α-hGMII inhibitors is limited by their co-inhibition of human lysosomal α-mannosidase (α-hLM), resulting in abnormal storage of oligomannoses. We describe the synthesis and screening of a small library of novel bicyclic iminosugar-based scaffolds, prepared via natural product-inspired combinatorial chemistry (NPICC), which resulted in the identification of a primary α-hGMII inhibitor with 13.5-fold selectivity over α-hLM. Derivatization of this primary inhibitor using computation-guided synthesis (CGS) yielded an advanced α-hGMII inhibitor with nanomolar potency and 106-fold selectivity over α-hLM. In vitro studies demonstrated its N-glycan modulation and inhibitory effect on hepatocellular carcinoma (HCC) cells. In vivo studies confirmed its encouraging anti-HCC activity, without evidence of oligomannose accumulation.

Photoaffinity labeling of benzophenone-containing salicylanilide compounds to give an insight into the mechanism in disrupting peptidoglycan formation.

A series of salicylanilide compounds was previously identified as antibacterial agents that inhibit the peptidoglycan formation. To find the exact binding mode, we synthesized a benzophenone-containing salicylanilide compound (1) and used it as a photoaffinity probe to label Acinetobacter baumannii penicillin-binding protein (PBP1b). After incubation and photo-irradiation, the labeled protein was subjected to trypsin digestion, dialysis enrichment, LC-ESI-MS/MS analysis, and Mascot search to reveal an octadecapeptide sequence 364RQLRTEYQESDLTNQGLR381 that was labeled at E372. Our molecular docking experiments suggest a hydrophobic pocket surrounded by R367 and E372 is the binding site of salicylanilide 1. The pocket lies in between the transglycosylase and transpeptidase domains, thus binding of salicylanilide 1 can block the propagation pathway to disrupt the growth of peptidoglycan chain.

Population-based high-throughput toxicity screen of human iPSC-derived cardiomyocytes and neurons.

In this study, we establish a population-based human induced pluripotent stem cell (hiPSC) drug screening platform for toxicity assessment. After recruiting 1,000 healthy donors and screening for high-frequency human leukocyte antigen (HLA) haplotypes, we identify 13 HLA-homozygous "super donors" to represent the population. These "super donors" are also expected to represent at least 477,611,135 of the global population. By differentiating these representative hiPSCs into cardiomyocytes and neurons we show their utility in a high-throughput toxicity screen. To validate hit compounds, we demonstrate dose-dependent toxicity of the hit compounds and assess functional modulation. We also show reproducible in vivo drug toxicity results using mouse models with select hit compounds. This study shows the feasibility of using a population-based hiPSC drug screening platform to assess cytotoxicity, which can be used as an innovative tool to study inter-population differences in drug toxicity and adverse drug reactions in drug discovery applications.

Identification of existing pharmaceuticals and herbal medicines as inhibitors of SARS-CoV-2 infection.

The outbreak of COVID-19 caused by SARS-CoV-2 has resulted in more than 50 million confirmed cases and over 1 million deaths worldwide as of November 2020. Currently, there are no effective antivirals approved by the Food and Drug Administration to contain this pandemic except the antiviral agent remdesivir. In addition, the trimeric spike protein on the viral surface is highly glycosylated and almost 200,000 variants with mutations at more than 1,000 positions in its 1,273 amino acid sequence were reported, posing a major challenge in the development of antibodies and vaccines. It is therefore urgently needed to have alternative and timely treatments for the disease. In this study, we used a cell-based infection assay to screen more than 3,000 agents used in humans and animals, including 2,855 small molecules and 190 traditional herbal medicines, and identified 15 active small molecules in concentrations ranging from 0.1 nM to 50 µM. Two enzymatic assays, along with molecular modeling, were then developed to confirm those targeting the virus 3CL protease and the RNA-dependent RNA polymerase. Several water extracts of herbal medicines were active in the cell-based assay and could be further developed as plant-derived anti-SARS-CoV-2 agents. Some of the active compounds identified in the screen were further tested in vivo, and it was found that mefloquine, nelfinavir, and extracts of Ganoderma lucidum (RF3), Perilla frutescens, and Mentha haplocalyx were effective in a challenge study using hamsters as disease model.

Design and synthesis of glyco-peptides as anti-cancer agents targeting thrombin-protease activated receptor-1 interaction.

Thrombin activates protease-activated receptor-1 (PAR-1) through binding to exosite I and the active site to promote tumor growth. We have developed a new class of anti-cancer glyco-peptides to target exosite I selectively without affecting the active-site-mediated coagulation activity and showed the importance of glycans for the stability and anti-cancer activity of the glyco-peptides.

Disrupting the Conserved Salt Bridge in the Trimerization of Influenza A Nucleoprotein.

Antiviral drug resistance in influenza infections has been a major threat to public health. To develop a broad-spectrum inhibitor of influenza to combat the problem of drug resistance, we previously identified the highly conserved E339...R416 salt bridge of the nucleoprotein trimer as a target and compound 1 as an inhibitor disrupting the salt bridge with an EC50 = 2.7 µM against influenza A (A/WSN/1933). We have further modified this compound via a structure-based approach and performed antiviral activity screening to identify compounds 29 and 30 with EC50 values of 110 and 120 nM, respectively, and without measurable host cell cytotoxicity. Compared to the clinically used neuraminidase inhibitors, these two compounds showed better activity profiles against drug-resistant influenza A strains, as well as influenza B, and improved survival of influenza-infected mice.

Rationally designed divalent caffeic amides inhibit amyloid-ß fibrillization, induce fibril dissociation, and ameliorate cytotoxicity.

One of the pathologic hallmarks in Alzheimer's disease (AD) is extracellular senile plaques composed of amyloid-ß (Aß) fibrils. Blocking Aß self-assembly or disassembling Aß aggregates by small molecules would be potential therapeutic strategies to treat AD. In this study, we synthesized a series of rationally designed divalent compounds and examined their effects on Aß fibrillization. A divalent amide (2) derived from two molecules of caffeic acid with a propylenediamine linker of ∼5.0 Šin length, which is close to the distance of adjacent ß sheets in Aß fibrils, showed good potency to inhibit Aß(1-42) fibrillization. Furthermore, compound 2 effectively dissociated the Aß(1-42) preformed fibrils. The cytotoxicity induced by Aß(1-42) aggregates in human neuroblastoma was reduced in the presence of 2, and feeding 2 to Aß transgenic C. elegans rescued the paralysis phenotype. In addition, the binding and stoichiometry of 2 to Aß(1-40) were demonstrated by using electrospray ionization-traveling wave ion mobility-mass spectrometry, while molecular dynamic simulation was conducted to gain structural insights into the Aß(1-40)-2 complex.

Structure-based design of bacterial transglycosylase inhibitors incorporating biphenyl, amine linker and 2-alkoxy-3-phosphorylpropanoate moieties.

Transglycosylase (TGase) is essential to biosynthesis of peptidoglycan for formation of bacterial cell wall. Moenomycin is a potent TGase inhibitor, but not used in clinic treatment due to its poor pharmacokinetics. The E-F disaccharide, phosphoglycerate and lipid tail in moenomycin are crucial elements for TGase inhibition and antibacterial activity. Based on this scaffold, a series of truncated mimics comprising biphenyl, amine linker and 2-alkoxy-3-phosphorylpropanoate moieties were designed to test their TGase inhibitory activity. In this design, the phosphorylpropanoate group is a surrogate of phosphoglycerate with improved stability. A library of lipid tails can be constructed by a straightforward approach using Cu(I)-catalyzed (3 + 2) cycloaddition reactions, and the as-synthesized triazole ring can provide additional hydrogen bonds in the TGase active site. Our molecular docking experiments reveal that the biphenyl group provides π-π and π-cation interactions to act as a simplified alternative of the C-E disaccharide in moenomycin. To play the role of the oxonium transition state in transglycosylation, the amine linker exists as a positively charged species in physiological condition to attain electrostatic interactions with acidic residues. In this study, two biphenyl-linked 2-alkoxy-3-phosphorylpropanoate compounds (8 and 10) are found to exhibit modest inhibitory activity (IC50 ≈ 150 µM) against the TGase of Acinetobacter baumannii and good antibacterial activity against Staphylococcus aureus (MIC = 6.3 µM).

Residues Comprising the Enhanced Aromatic Sequon Influence Protein N-Glycosylation Efficiency.

N-Glycosylation is an important co- and/or post-translational modification that occurs on the vast majority of the one-third of the mammalian proteome that traverses the cellular secretory pathway, regulating glycoprotein folding and functions. Previous studies on the sequence requirements for N-glycosylation have yielded the Asn-X-Ser/Thr (NXS/T) sequon and the enhanced aromatic sequons (Phe-X-Asn-X-Thr and Phe-X-X-Asn-X-Thr), which can be efficiently N-glycosylated. To further investigate the influence of sequence variation on N-glycosylation efficiency in the context of a five-residue enhanced aromatic sequon, we used the human CD2 adhesion domain (hCD2ad) to screen the i-2, i-1, i+1, and i+2 residues flanking Asn at the i position. We found that aromatic residues, especially Trp, and sulfur-containing residues at the i-2 position improved N-glycosylation efficiency, while positively charged residues such as Arg suppressed N-glycosylation. Thiol, hydroxyl, and aliphatic-based side chains at the i-1 position had higher N-glycosylation efficiency, and Cys, in particular, compensated for the negative effect of Arg at the i-2 position. Small residues and Ser at the i+1 position increased the likelihood of N-glycosylation, and Thr is better than Ser at the i+2 position. We devised an algorithm for prediction of N-glycosylation efficiency using the SAS software, employing the 120 sequences studied as a training set. We then introduced the optimized-enhanced aromatic sequons into other glycoproteins and observed an enhancement in N-glycan occupancy that was further supported by modeling the high-affinity interaction between the optimized sequence on hCD2ad and a human oligosaccharyltransferase (OST) subunit. The findings in this study provide useful information for enhancing or suppressing N-glycosylation at a site of interest and valuable data for a better understanding of OST-catalyzed N-glycosylation.

An Effective Bacterial Fucosidase for Glycoprotein Remodeling.

Fucose is an important component of many oligo- and polysaccharide structures as well as glycoproteins and glycolipids, which are often associated with a variety of physiological processes ranging from fertilization, embryogenesis, signal transduction, and disease progression, such as rheumatoid arthritis, inflammation, and cancer. The enzyme α-l-fucosidase is involved in the cleavage of the fucosidic bond in glycans and glycoconjugates, particularly the Fuc-α-1,2-Gal, Fuc-α-1,3/4-GlcNAc, and Fuc-α-1,6-GlcNAc linkages. Here, we report a highly efficient fucosidase, designated as BfFucH identified from a library of bacterial glycosidases expressed in E. coli from the CAZy database, which is capable of hydrolyzing the aforementioned fucosidic linkages, especially the α-1,6-linkage from the N-linked Fuc-α-1,6-GlcNAc residue on glycoproteins. Using BfFucH coupled with endoglycosidases and the emerging glycosynthases allows glycoengineering of IgG antibodies to provide homogeneous glycoforms with well-defined glycan structures and optimal effector functions.

Phenyl Glycolipids with Different Glycosyl Groups Exhibit Marked Differences in Murine and Human iNKT Cell Activation.

Glycosphingolipids (GSLs) bearing the α-galactosyl headgroup and the acyl chain terminated with a phenyl derivative were found to be more potent than α-galactosyl ceramide (αGalCer) to stimulate both murine and human invariant natural killer T (iNKT) cells and to induce an antibody isotope switch to IgG. In this study, we replaced the galactosyl group with glucose (αGlc) and its fluoro-analogs and found that phenyl GSLs with αGlc (C34-Glc) and its fluoro-analog 6F-C34-Glc were stronger than those with αGal in stimulating human iNKT cells but weaker in mice. Their activities have a strong correlation with the binding avidities of the ternary interaction between the iNKT-cell receptor (iNKTCR) and CD1d-GSL complex. It was the iNKTCR rather than CD1d that dictated the species-specific responses. C34-Glc was further used as an adjuvant for a SSEA4-crm-197 vaccine, and after immunization in mice, the vaccine was highly effective against Lewis lung carcinoma.

Structural Investigation of Park's Nucleotide on Bacterial Translocase MraY: Discovery of Unexpected MraY Inhibitors.

Systematic structural modifications of the muramic acid, peptide, and nucleotide moieties of Park's nucleotide were performed to investigate the substrate specificity of B. subtilis MraY (MraYBS). It was found that the simplest analogue of Park's nucleotide only bearing the first two amino acids, l-alanine-iso-d-glutamic acid, could function as a MraYBS substrate. Also, the acid group attached to the Cα of iso-d-glutamic acid was found to play an important role for substrate activity. Epimerization of the C4-hydroxyl group of muramic acid and modification at the 5-position of the uracil in Park's nucleotide were both found to dramatically impair their substrate activity. Unexpectedly, structural modifications on the uracil moiety changed the parent molecule from a substrate to an inhibitor, blocking the MraYBS translocation. One unoptimized inhibitor was found to have a Ki value of 4 ± 1 µM against MraYBS, more potent than tunicamycins.

An Automatic Quality Control Pipeline for High-Throughput Screening Hit Identification.

The correction or removal of signal errors in high-throughput screening (HTS) data is critical to the identification of high-quality lead candidates. Although a number of strategies have been previously developed to correct systematic errors and to remove screening artifacts, they are not universally effective and still require fair amount of human intervention. We introduce a fully automated quality control (QC) pipeline that can correct generic interplate systematic errors and remove intraplate random artifacts. The new pipeline was first applied to ~100 large-scale historical HTS assays; in silico analysis showed auto-QC led to a noticeably stronger structure-activity relationship. The method was further tested in several independent HTS runs, where QC results were sampled for experimental validation. Significantly increased hit confirmation rates were obtained after the QC steps, confirming that the proposed method was effective in enriching true-positive hits. An implementation of the algorithm is available to the screening community.

Glycosylation-dependent interaction between CD69 and S100A8/S100A9 complex is required for regulatory T-cell differentiation.

Cluster of differentiation (CD)69 is a leukocyte activation receptor involved in the maintenance of immune homeostasis and is positively selected in activated regulatory T (Treg) cells, implicating its role during Treg-cell differentiation. By RNA interference, we show that CD69 is not sufficient to support the conversion of CD4(+) naive T cells into Treg cells, whereas it does that of human peripheral blood mononuclear cells (hPBMCs) (P < 0.01), suggesting that a ligand-receptor interaction is required for CD69 function. Using immunoprecipitation and mass spectrometry, we identified the S100A8/S100A9 complex as the natural ligand of CD69 in hPBMCs. CD69 specifically associates with S100A8/S100A9 complex as confirmed by in vitro binding and competition assay, and the treatment of CD69 with peptide-N-glycosidase significantly abolishes such association. In agreement, the glycomics analysis determines the glycosylation site and the N-glycan composition of CD69, and terminal removal of sialic acid from that N-linked glycans reverses the generation of forkhead box P3-positive Treg cells (23.21%; P < 0.05). More specifically, we showed that CD69-S100A8/S100A9 association is required for the up-regulation of suppressor of cytokine signaling 3 resulting in inhibited signaling of signal transducer and activator of transcription 3 (36.54% increase upon CD69 silencing; P < 0.01). This might in turn support the secretion of key regulator TGF-ß (∼ 3.28-fold decrease upon CD69 silencing; P < 0.05), leading to reduced production of IL-4 in hPBMCs. Our results demonstrate the functional and mechanistic interplays between CD69 and S100A8/S100A9 in supporting Treg-cell differentiation.

In vitro evaluation of novel inhibitors against the NS2B-NS3 protease of dengue fever virus type 4.

The discovery of potent therapeutic compounds against dengue virus is urgently needed. The NS2B-NS3 protease (NS2B-NS3pro) of dengue fever virus carries out all enzymatic activities needed for polyprotein processing and is considered to be amenable to antiviral inhibition by analogy. Virtual screening of 300,000 compounds using Autodock 3 on the GVSS platform was conducted to identify novel inhibitors against the NS2B-NS3pro. Thirty-six compounds were selected for in vitro assay against NS2B-NS3pro expressed in Pichia pastoris. Seven novel compounds were identified as inhibitors with IC50 values of 3.9 ± 0.6-86.7 ± 3.6 µM. Three strong NS2B-NS3pro inhibitors were further confirmed as competitive inhibitors with Ki values of 4.0 ± 0.4, 4.9 ± 0.3, and 3.4 ± 0.1 µM, respectively. Hydrophobic and hydrogen bond interactions between amino acid residues in the NS3pro active site with inhibition compounds were also identified.

Lipoamide channel-binding sulfonamides selectively inhibit mycobacterial lipoamide dehydrogenase.

Tuberculosis remains a global health emergency that calls for treatment regimens directed at new targets. Here we explored lipoamide dehydrogenase (Lpd), a metabolic and detoxifying enzyme in Mycobacterium tuberculosis (Mtb) whose deletion drastically impairs Mtb's ability to establish infection in the mouse. Upon screening more than 1.6 million compounds, we identified N-methylpyridine 3-sulfonamides as potent and species-selective inhibitors of Mtb Lpd affording >1000-fold selectivity versus the human homologue. The sulfonamides demonstrated low nanomolar affinity and bound at the lipoamide channel in an Lpd-inhibitor cocrystal. Their selectivity could be attributed, at least partially, to hydrogen bonding of the sulfonamide amide oxygen with the species variant Arg93 in the lipoamide channel. Although potent and selective, the sulfonamides did not enter mycobacteria, as determined by their inability to accumulate in Mtb to effective levels or to produce changes in intracellular metabolites. This work demonstrates that high potency and selectivity can be achieved at the lipoamide-binding site of Mtb Lpd, a site different from the NAD⁺/NADH pocket targeted by previously reported species-selective triazaspirodimethoxybenzoyl inhibitors.

HotLig: a molecular surface-directed approach to scoring protein-ligand interactions.

Accurate prediction of ligand-binding poses is crucial for understanding molecular interactions and is very important for drug discovery, structural design, and optimization. In this study, we developed a novel scoring program, HotLig, which applies the Connolly surface of a protein to calculate hydrophobic interaction and paired pharmacophore interactions with ligands. In addition to molecular surface distance, ligand-contacting areas and hydrogen-bond angles were also introduced to the scoring functions in HotLig. Four individual energy scoring functions for H-bonds, ionic pairs, metal coordination, and hydrophobic effects were derived from 600 protein-ligand complexes, and then, their weighting factors were optimized through an interaction-characterized training set. Success rates of ligand-binding-pose predictions (with a root mean squared deviation of ≤2 Å) for the Wang, GOLD, and Cheng data sets were respectively validated to be 91.0%, 87.0%, and 85.6%. HotLig was found to possess equally good predictive powers for the hydrophilic (88.6%) and hydrophobic subsets (87.5%), and the success rate for the mixed subset was as high as 96.9%. The Spearman correlation coefficients were as good as 0.609 to 0.668, which indicates HotLig also has satisfactory predictive power for binding affinities. These results suggested that the HotLig can analyze diverse ligands, including peptides, and is expected to be a powerful tool for drug design and discovery.