Cystamine induces AIF-mediated apoptosis through glutathione depletion.

Cystamine and its reduced form cysteamine showed protective effects in various models of neurodegenerative disease, including Huntington's disease and Parkinson's disease. Other lines of evidence demonstrated the cytotoxic effect of cysteamine on duodenal mucosa leading to ulcer development. However, the mechanism for cystamine cytotoxicity remains poorly understood. Here, we report a new pathway in which cystamine induces apoptosis by targeting apoptosis-inducing factor (AIF). By screening of various cell lines, we observed that cystamine and cysteamine induce cell death in a cell type-specific manner. Comparison between cystamine-sensitive and cystamine-resistant cell lines revealed that cystamine cytotoxicity is not associated with unfolded protein response, reactive oxygen species generation and transglutaminase or caspase activity; rather, it is associated with the ability of cystamine to trigger AIF nuclear translocation. In cystamine-sensitive cells, cystamine suppresses the levels of intracellular glutathione by inhibiting γ-glutamylcysteine synthetase expression that triggers AIF translocation. Conversely, glutathione supplementation completely prevents cystamine-induced AIF translocation and apoptosis. In rats, cysteamine administration induces glutathione depletion and AIF translocation leading to apoptosis of duodenal epithelium. These results indicate that AIF translocation through glutathione depletion is the molecular mechanism of cystamine toxicity, and provide important implications for cystamine in the neurodegenerative disease therapeutics as well as in the regulation of AIF-mediated cell death.

Synthesis and biological evaluation of picolinamides and thiazole-2-carboxamides as mGluR5 (metabotropic glutamate receptor 5) antagonists.

We described here the synthesis and biological evaluation of picolinamides and thiazole-2-carboxamides as potential mGluR5 antagonists. We found that a series of thiazole derivatives 6 showed better inhibitory activity against mGluR5. Compounds 6bc and 6bj have been identified as potent antagonists (IC50=274 and 159nM) showing excellent in vitro stability profile. Molecular docking study using the crystal structure of mGluR5 revealed that our compounds 6bc and 6bj fit the allosteric binding site of mavoglurant well.

A bifunctional colorimetric fluorescent probe for Hg(2+) and Cu(2+) based on a carbazole-pyrimidine conjugate: chromogenic and fluorogenic recognition on TLC, silica-gel and filter paper.

A bifunctional fluorescent probe based on a carbazole-pyrimidine conjugate for Hg(2+) and Cu(2+) detection was designed and synthesized. Probe 3 exhibits red shifts in its absorption and fluorescence spectra with significant visual color changes in the presence of these ions. The detection limits of probe 3 for these metal ions were in the nanomolar range. The probe could also be useful as a solid optical sensor for Hg(2+) and Cu(2+).

Synthesis and biological evaluation of 3-phenethylazetidine derivatives as triple reuptake inhibitors.

We report the synthesis of 3-phenethylazetidine derivatives 2 and their biological activities against 5-HT, NE and DA transporters as well as microsomal stability, CYP inhibition, and hERG inhibition profiles. Compound 2at showed most potent triple reuptake inhibitor with good selectivity as a candidate for depression.

Facile diverted synthesis of pyrrolidinyl triazoles using organotrifluoroborate: discovery of potential mPTP blockers.

This article describes the rapid and diversified synthesis of pyrrolidinyl triazoles for the discovery of mitochondrial permeability transition pore (mPTP) blockers. The 1,3-dipolar cycloaddition of ethynyl trifluoroborate with azidopyrrolidine produced a key intermediate, triazolyl trifluoroborate 4, which subsequently underwent a Suzuki-Miyaura coupling reaction to afford a series of 1,4-disubstituted triazoles 2. Subsequent biological evaluation of these derivatives indicated 2ag and 2aj as the most potent mPTP blockers exhibiting excellent cytochrome P450 (CYP) stability when compared to the previously reported oxime analogue 1. The present work clearly demonstrates that a 1,2,3-triazole can be used as a stable oxime surrogate. Furthermore, it suggests that late-stage diversification through coupling reactions of organotrifluoroborates is suitable for the rapid discovery of biologically active molecules.

Structure-property Relationships Reported for the New Drugs Approved in 2022.

BACKGROUND: The structure-property relationship illustrates how modifying the chemical structure of a pharmaceutical compound influences its absorption, distribution, metabolism, excretion, and other related properties. Understanding structure-property relationships of clinically approved drugs could provide useful information for drug design and optimization strategies. METHOD: Among new drugs approved around the world in 2022, including 37 in the US, structure- property relationships of seven drugs were compiled from medicinal chemistry literature, in which detailed pharmacokinetic and/or physicochemical properties were disclosed not only for the final drug but also for its key analogues generated during drug development. RESULTS: The discovery campaigns for these seven drugs demonstrate extensive design and optimization efforts to identify suitable candidates for clinical development. Several strategies have been successfully employed, such as attaching a solubilizing group, bioisosteric replacement, and deuterium incorporation, resulting in new compounds with enhanced physicochemical and pharmacokinetic properties. CONCLUSION: The structure-property relationships hereby summarized illustrate how proper structural modifications could successfully improve the overall drug-like properties. The structure-property relationships of clinically approved drugs are expected to continue to provide valuable references and guides for the development of future drugs.

The Structure-property Relationships of Clinically Approved Protease Inhibitors.

BACKGROUND: Proteases play important roles in the regulation of many physiological processes, and protease inhibitors have become one of the important drug classes. Especially because the development of protease inhibitors often starts from a substrate- based peptidomimetic strategy, many of the initial lead compounds suffer from pharmacokinetic liabilities. OBJECTIVE: To reduce drug attrition rates, drug metabolism and pharmacokinetics studies are fully integrated into modern drug discovery research, and the structure-property relationship illustrates how the modification of the chemical structure influences the pharmacokinetic and toxicological properties of drug compounds. Understanding the structure- property relationships of clinically approved protease inhibitor drugs and their analogues could provide useful information on the lead-to-candidate optimization strategies. METHODS: About 70 inhibitors against human or pathogenic viral proteases have been approved until the end of 2021. In this review, 17 inhibitors are chosen for the structure- property relationship analysis because detailed pharmacological and/or physicochemical data have been disclosed in the medicinal chemistry literature for these inhibitors and their close analogues. RESULTS: The compiled data are analyzed primarily focusing on the pharmacokinetic or toxicological deficiencies found in lead compounds and the structural modification strategies used to generate candidate compounds. CONCLUSION: The structure-property relationships hereby summarized how the overall druglike properties could be successfully improved by modifying the structure of protease inhibitors. These specific examples are expected to serve as useful references and guidance for developing new protease inhibitor drugs in the future.

Structure-property Relationships Reported for the New Drugs Approved in 2023.

Drug-like properties play pivotal roles in drug adsorption, distribution, metabolism, excretion, and toxicity. Therefore, efficiently optimizing these properties is essential for the successful development of novel therapeutics. Understanding the structure-property relationships of clinically approved drugs can provide valuable insights for drug design and optimization strategies. Among the new drugs approved in 2023, which include 31 small-molecule drugs in the US, the structure-property relationships of nine drugs were compiled from the medicinal chemistry literature, in which detailed information on pharmacokinetic and/or physicochemical properties was reported not only for the final drug but also for its key analogs generated during drug development. The structure-property relationships of nine newly approved drugs are summarized, including three kinase inhibitors and three G-protein-coupled receptor antagonists. Several optimization strategies, such as bioisosteric replacement and steric handle installation, have successfully produced clinical candidates with enhanced physicochemical and pharmacokinetic properties. The summarized structure-property relationships demonstrate how appropriate structural modifications can effectively improve overall drug-like properties. The ongoing exploration of structure- property relationships of clinically approved drugs is expected to offer valuable guidance for developing future drugs.

Synthesis and biological evaluation of 2-(arylethynyl)quinoline derivatives as mGluR5 antagonists for the treatment of neuropathic pain.

We described here the synthesis and biological evaluation of mGluR5 antagonists containing a quinoline ring structure. Using intracellular calcium mobilization assay (FDSS assay), we identified compound 5n, showing high inhibitory activity against mGluR5. In addition, it was found that compound 5n has excellent stability profile. Finally, this compound exhibited favorable analgesic effects in spinal nerve ligation model of neuropathic pain, which is comparable to gabapentin.

The Structure-property Relationships of GPCR-targeted Drugs Approved between 2011 and 2021.

BACKGROUND: G-protein-coupled receptors (GPCRs) are the largest family of membrane receptors and the most intensively studied drug targets. Given the physiological importance of signal transduction by GPCRs and the recent progress in the structure determination of membrane proteins, the development of GPCR antagonists and agonists is expected to continue to be a major area of medicinal chemistry research. METHODS: The structure-property relationship illustrates how the modification of the chemical structure influences the absorption, distribution, metabolism, excretion, and other related properties of drug compounds. Understanding the structure-property relationships of clinically approved GPCR-targeted drugs and their analogues could provide useful information on the lead-to-candidate optimization strategies. RESULTS: Among more than 50 GPCR antagonists and agonists approved in the last decade, the structure-property relationships of 17 drugs are compiled from medicinal chemistry literature, in which detailed pharmacokinetic and toxicological properties are disclosed not only for the final drug candidate but also for key analogues generated during the lead optimization campaign. CONCLUSION: The structure-property relationships hereby summarized demonstrate how in vitro and in vivo properties of the membrane protein-targeted ligands could be effectively optimized, in many cases, without requiring a significant change in the molecular size. This information is expected to provide valuable insights to expedite new GPCR-targeted drug development.

The Structure-property Relationships of Clinically Approved Protein Kinase Inhibitors.

BACKGROUND: Protein kinase inhibitors have become one of the most successful classes of small-molecule drugs during the last decades. In modern drug discovery, considering 'drug-like' physicochemical and pharmacokinetic properties as early as possible in drug design is widely acknowledged as an important strategy to reduce drug attrition rates. METHODS: In this review, clinically approved 25 protein kinase inhibitors and their key analogues reported in medicinal chemistry literature were compared for their biological, physicochemical, and pharmacokinetic properties. Although there is no common trajectory to follow through complex drug discovery campaigns, knowledge of the structure- activity relationship obtained from the successful lead optimization studies might be extended to other drug design efforts. RESULTS: Among more than 70 protein kinase inhibitors clinically approved around the world, the structure-activity relationships of 25 inhibitors and their key analogues are compiled from medicinal chemistry literature, in which detailed results from the 'lead-tocandidate' stage are available with associated property data. For the other inhibitors, such information has not been disclosed in the literature, or the available data is limited and not sufficient to provide clear structural analysis. CONCLUSION: The structure-property relationships summarized for 25 inhibitors and their analogues illustrate general guidelines for lead optimization and candidate selection, and this information could be extended for better property-based drug design in the future.

Aminoindanol-based chiral derivatizing agents for the determination of the absolute configuration of carboxylic acids.

New chiral derivatizing agents have been prepared through a simple, short-step synthesis. The absolute configuration of α-chiral carboxylic acids can be assigned on the basis of the NMR chemical shift difference between diastereomeric esters. Because of the modular structures of the agents, the anisotropic effect could be easily manipulated to afford large chemical shift differences even in polar solvents.

Identification of tissue-specific targeting peptide.

Using phage display technique, we identified tissue-targeting peptide sets that recognize specific tissues (bone-marrow dendritic cell, kidney, liver, lung, spleen and visceral adipose tissue). In order to rapidly evaluate tissue-specific targeting peptides, we performed machine learning studies for predicting the tissue-specific targeting activity of peptides on the basis of peptide sequence information using four machine learning models and isolated the groups of peptides capable of mediating selective targeting to specific tissues. As a representative liver-specific targeting sequence, the peptide "DKNLQLH" was selected by the sequence similarity analysis. This peptide has a high degree of homology with protein ligands which can interact with corresponding membrane counterparts. We anticipate that our models will be applicable to the prediction of tissue-specific targeting peptides which can recognize the endothelial markers of target tissues.

Midwavelength Infrared Colloidal Nanowire Laser.

Realizing bright colloidal infrared emitters in the midwavelength infrared (or mid-IR), which can be used for low-power IR light-emitting diodes (LEDs), sensors, and deep-tissue imaging, has been a challenge for the last few decades. Here, we present colloidal tellurium nanowires with strong emission intensity at room temperature and even lasing at 3.6 µm (ω) under cryotemperature. Furthermore, the second-harmonic field at 1.8 µm (2ω) and the third-harmonic field at 1.2 µm (3ω) are successfully generated thanks to the intrinsic property of the tellurium nanowire. These unique optical features have never been reported for colloidal tellurium nanocrystals. With the colloidal midwavelength infrared (MWIR) Te nanowire laser, we demonstrate its potential in biomedical applications. MWIR lasing has been clearly observed from nanowires embedded in a human neuroblastoma cell, which could further realize deep-tissue imaging and thermotherapy in the near future.

Acylideneoxoindoles: a new class of reversible inhibitors of human transglutaminase 2.

Inhibitors of human transglutaminase 2 (TG2) are anticipated to be useful in the therapy of a variety of diseases including celiac sprue as well as certain CNS disorders and cancers. A class of 3-acylidene-2-oxoindoles was identified as potent reversible inhibitors of human TG2. Structure-activity relationship analysis of a lead compound led to the generation of several potent, competitive inhibitors. Analogs with significant non-competitive character were also identified, suggesting that the compounds bind at one or more allosteric regulatory sites on this multidomain enzyme. The most active compounds had K(i) values below 1.0 µM in two different kinetic assays for human TG2, and may therefore be suitable for investigations into the role of TG2 in physiology and disease in animals.

Discovery of piperidinyl aminopyrimidine derivatives as IKK-2 inhibitors.

A serine-threonine kinase IKK-2 plays an important role in activation of NF-κB through phosphorylation of the inhibitor of NF-κB (IκB). As NF-κB is a major transcription factor that regulates genes responsible for cell proliferation and inflammation, development of selective IKK-2 inhibitors has been an important area of anti-inflammatory and anti-cancer research. In this study, to obtain active and selective IKK-2 inhibitors, various substituents were introduced to a piperidinyl aminopyrimidine core structure. The structure-activity relationship study indicated that hydrogen, methanesulfonyl, and aminosulfonyl groups substituted at the piperidinylamino functionality provide high inhibitory activity against IKK-2. Also, morpholinosulfonyl and piperazinosulfonyl group substituted at the aromatic ring attached to the aminopyrimidine core significantly increased the inhibitory activity of the resulting derivatives. In particular, compound 17 with the aromatic piperazinosulfonyl substituent showed the most potent (IC(50)=1.30 µM) and selective (over other kinases such as p38α, p38ß, JNK1, JNK2, JNK3, and IKK-1) inhibitory activity against IKK-2.

Machine learning study for the prediction of transdermal peptide.

In order to develop a computational method to rapidly evaluate transdermal peptides, we report approaches for predicting the transdermal activity of peptides on the basis of peptide sequence information using Artificial Neural Network (ANN), Partial Least Squares (PLS) and Support Vector Machine (SVM). We identified 269 transdermal peptides by the phage display technique and use them as the positive controls to develop and test machine learning models. Combinations of three descriptors with neural network architectures, the number of latent variables and the kernel functions are tried in training to make appropriate predictions. The capacity of models is evaluated by means of statistical indicators including sensitivity, specificity, and the area under the receiver operating characteristic curve (ROC score). In the ROC score-based comparison, three methods proved capable of providing a reasonable prediction of transdermal peptide. The best result is obtained by SVM model with a radial basis function and VHSE descriptors. The results indicate that it is possible to discriminate between transdermal peptides and random sequences using our models. We anticipate that our models will be applicable to prediction of transdermal peptide for large peptide database for facilitating efficient transdermal drug delivery through intact skin.

Crystallization and preliminary X-ray crystallographic studies of the N-terminal domain of human ribosomal protein L7a (RPL7a).

Ribosomal proteins are a major component of ribosomes, which catalyze protein synthesis. One ribosomal protein, L7a (RPL7a), which is a component of the 60S large ribosomal subunit, has additional functions involved in cell growth and differentiation that occur via interaction with human thyroid hormone receptor (THR) and retinoic acid receptor (RAR) and in turn inhibit the activities of the two nuclear hormone receptors. In this study, the N-terminal domain of human RPL7a was overexpressed in Escherichia coli using an engineered C-terminal His tag. The N-terminal domain of human RPL7a was then purified to homogeneity and crystallized at 293 K. X-ray diffraction data were collected to a resolution of 3.5 Šfrom a crystal belonging to the tetragonal space group P4(1)22 or P4(3)22 with unit-cell parameters a = 92.28, b = 92.28, c = 236.59 Å.

Artificial neural network study on organ-targeting peptides.

We report a new approach to studying organ targeting of peptides on the basis of peptide sequence information. The positive control data sets consist of organ-targeting peptide sequences identified by the peroral phage-display technique for four organs, and the negative control data are prepared from random sequences. The capacity of our models to make appropriate predictions is validated by statistical indicators including sensitivity, specificity, enrichment curve, and the area under the receiver operating characteristic (ROC) curve (the ROC score). VHSE descriptor produces statistically significant training models and the models with simple neural network architectures show slightly greater predictive power than those with complex ones. The training and test set statistics indicate that our models could discriminate between organ-targeting and random sequences. We anticipate that our models will be applicable to the selection of organ-targeting peptides for generating peptide drugs or peptidomimetics.

Glutathione dynamics determine the therapeutic efficacy of mesenchymal stem cells for graft-versus-host disease via CREB1-NRF2 pathway.

Glutathione (GSH), the most abundant nonprotein thiol functioning as an antioxidant, plays critical roles in maintaining the core functions of mesenchymal stem cells (MSCs), which are used as a cellular immunotherapy for graft-versus-host disease (GVHD). However, the role of GSH dynamics in MSCs remains elusive. Genome-wide gene expression profiling and high-throughput live-cell imaging assays revealed that CREB1 enforced the GSH-recovering capacity (GRC) of MSCs through NRF2 by directly up-regulating NRF2 target genes responsible for GSH synthesis and redox cycling. MSCs with enhanced GSH levels and GRC mediated by CREB1-NRF2 have improved self-renewal, migratory, anti-inflammatory, and T cell suppression capacities. Administration of MSCs overexpressing CREB1-NRF2 target genes alleviated GVHD in a humanized mouse model, resulting in improved survival, decreased weight loss, and reduced histopathologic damages in GVHD target organs. Collectively, these findings demonstrate the molecular and functional importance of the CREB1-NRF2 pathway in maintaining MSC GSH dynamics, determining therapeutic outcomes for GVHD treatment.