Cantharidin‐Based Small Molecules as Potential Therapeutic Agents

Chemical and pharmacological information on cantharidin‐based small molecules was analyzed. The review summarizes new facts about blister beetles' metabolites for the period 2006–2012. General synthetic approaches to cantharidin‐based small molecules as well as their chemical transformations and biological activities related to cantharidin, norcantharidin, cantharidimide, and norcantharimide analogs, especially their inhibitory activity of phosphoprotein phosphatases in cancer treatment, were discussed in this mini review, which could help to design new small molecule modulators for other biological models.     

Sulfated Small Molecules Targeting EBV in Burkitt Lymphoma: From In Silico Screening to the Evidence of In Vitro Effect on Viral Episomal DNA

Epstein–Barr virus (EBV) infects more than 90% of the world population. Following primary infection, Epstein–Barr virus persists in an asymptomatic latent state. Occasionally, it may switch to lytic infection. Latent EBV infection has been associated with several diseases, such as Burkitt lymphoma (BL). To date, there are no available drugs to target latent EBV, and the existing broad‐spectrum antiviral drugs are mainly active against lytic viral infection. Thus, using computational molecular docking, a virtual screen of a library of small molecules, including xanthones and flavonoids (described with potential for antiviral activity against EBV), was carried out targeting EBV proteins. The more interesting molecules were selected for further computational analysis, and sub‐sequently, the compounds were tested in the Raji (BL) cell line, to evaluate their activity against latent EBV. This work identified three novel sulfated small molecules capable of decreasing EBV levels in a BL. Therefore, the in silico screening presents a good approach for the development of new anti‐EBV agents.     

Synergistic Combination for Chemoprevention of Hepatocellular Carcinoma: An In Silico and In Vitro Approach

Combination therapy is one of the best methods to manage the fatality rate in hepatocellular carcinoma (HCC). This study aimed to formulate a synergistic combination of synthetic and herbal compounds for the treatment of HCC as well as to elucidate a possible signalling mechanism. MTT and enzymatic assay were performed to determine the synergistic effect of drug combination (sorafenib, vitamin K1 and trans‐chalcone) on HepG2 cell lines after intoxication with H₂O₂. Protein–protein interaction and docking studies were performed using Pathwaylinker2.0 and Schrödinger's software application to find out the mechanism of action and major targets for drug combination. The overall in vitro result showed that combination of trans‐chalcone, vitamin K1 and sorafenib (10, 5 and 5 μM concentration, respectively) enhanced the resistance against oxidative stress generated by H₂O₂. The interaction studies helped in identification of few targets for docking of ligands (trans‐chalcone, vitamin K1 and sorafenib). The study reports the synergistic effects of the formulation that can protect the cells from oxidative stress and restore normal levels of cellular enzymes in HepG2 cell line. We were able to determine the mechanism of action of herbal and synthetic formulation through in silico studies. Finally, docking studies confirmed potential targets for inhibition of hepatocarcinogenesis.     

In Silico Evaluation of the Potential Impact of Bioanalytical Bias Difference between Two Therapeutic Protein Formulations for Pharmacokinetic Assessment in a Biocomparability Study

Formulation changes at later stages of biotherapeutics development require biocomparability (BC) assessment. Using simulation, this study aims to determine the potential effect of bias difference observed between the two formulations after spiking into serum in passing or failing of a critical BC study. An ELISA method with 20% total error was used to assess any bias differences between a reference (RF) and test formulations (TF) in serum. During bioanalytical comparison of these formulations, a 9% difference in bias was observed between the two formulations in sera. To determine acceptable level of bias difference between the RF and TF bioanalytically, two in silico simulations were performed. The in silico analysis showed that the likelihood of the study meeting the BC criteria was >90% when the bias difference between RF and TF in serum was 9% and the number of subjects was ≥20 per treatment arm. An additional simulation showed that when the bias difference was increased to 13% and the number of subjects was <40, the likelihood of meeting the BC criteria decreased to 80%. The result from in silico analysis allowed the bioanalytical laboratory to proceed with sample analysis using a single calibrator and quality controls made from the reference formulation. This modeling approach can be applied to other BC studies with similar situations.KEY WORDS: bias, biocomparability, bioequivalent studies, biosimilar, biotherapeutics, PK parameter     

Macrophage Colony-Stimulating Factor in the Pathogenesis of HIV Infection: Potential Target for Therapeutic Intervention

Macrophage colony stimulating factor (M-CSF) appears to play a major role in promoting and maintaining reservoirs of human immunodeficiency virus type 1 (HIV-1) in infected individuals. HIV-1 infection induces production of M-CSF by macrophages, which in turn promotes further infection of macrophages via increases in CD4 and CCR5 receptors, as well as increases in virus gene expression. M-CSF promotes the ontogeny and survival of macrophages, contributing to both the number and longevity of these infected cells. M-CSF dysregulation promotes the differentiation of monocytes toward macrophages and osteoclasts and at the same time may inhibit differentiation toward dendritic cells, resulting in immune impairment. The potential role of M-CSF in HIV-associated end organ diseases including HIV-associated dementia, HIV-associated nephropathy, and osteoporosis is discussed. This review emphasizes the need for developing M-CSF antagonists for treatment of HIV-1-infected patients.     

The Role of ASIC1a in Epilepsy: A Potential Therapeutic Target

Background Epilepsy represents one of the most common brain diseases among humans. Tissue acidosis is a common phenomenon in epileptogenic foci. Moreover, its role in epileptogenesis remains unclear. Acid-sensing ion channel-1a (ASIC1a) represents a potential way to assess new therapies. ASIC1a, mainly expressed in the mammalian brain, is a type of protein-gated cation channel. It has been shown to play an important role in the pathological mechanism of various diseases, including stroke, epilepsy, and multiple sclerosis.Methods Data were collected from Web of Science, Medline, PubMed, through searching for these keywords: “Acid-sensing ion channels 1a” or “ASIC1a” and “epilepsy” or “seizure”.Results The role of ASIC1a in epilepsy remains controversial; it may represent a promising therapeutic target of epilepsy.Conclusion This review is intended to provide an overview of the structure, trafficking, and molecular mechanisms of ASIC1a in order to elucidate the role of ASIC1a in epilepsy further.     

Caenorhabditis elegans: A Model System for Anti-Cancer Drug Discovery and Therapeutic Target Identification

The nematode Caenorhabditis elegans (C. elegans) offers a unique opportunity for biological and basic medical researches due to its genetic tractability and well-defined developmental lineage. It also provides an exceptional model for genetic, molecular, and cellular analysis of human disease-related genes. Recently, C. elegans has been used as an ideal model for the identification and functional analysis of drugs (or small-molecules) in vivo. In this review, we describe conserved oncogenic signaling pathways (Wnt, Notch, and Ras) and their potential roles in the development of cancer stem cells. During C. elegans germline development, these signaling pathways regulate multiple cellular processes such as germline stem cell niche specification, germline stem cell maintenance, and germ cell fate specification. Therefore, the aberrant regulations of these signaling pathways can cause either loss of germline stem cells or overproliferation of a specific cell type, resulting in sterility. This sterility phenotype allows us to identify drugs that can modulate the oncogenic signaling pathways directly or indirectly through a high-throughput screening. Current in vivo or in vitro screening methods are largely focused on the specific core signaling components. However, this phenotype-based screening will identify drugs that possibly target upstream or downstream of core signaling pathways as well as exclude toxic effects. Although phenotype-based drug screening is ideal, the identification of drug targets is a major challenge. We here introduce a new technique, called Drug Affinity Responsive Target Stability (DARTS). This innovative method is able to identify the target of the identified drug. Importantly, signaling pathways and their regulators in C. elegans are highly conserved in most vertebrates, including humans. Therefore, C. elegans will provide a great opportunity to identify therapeutic drugs and their targets, as well as to understand mechanisms underlying the formation of cancer.     

In Silico Approaches to Mechanistic and Predictive Toxicology: An Introduction to Bioinformatics for Toxicologists

Bioinformatics, or in silico biology, is a rapidly growing field that encompasses the theory and application of computational approaches to model, predict, and explain biological function at the molecular level. This information rich field requires new skills and new understanding of genome-scale studies in order to take advantage of the rapidly increasing amount of sequence, expression, and structure information in public and private databases. Toxicologists are poised to take advantage of the large public databases in an effort to decipher the molecular basis of toxicity. With the advent of high-throughput sequencing and computational methodologies, expressed sequences can be rapidly detected and quantitated in target tissues by database searching. Novel genes can also be isolated in silico, while their function can be predicted and characterized by virtue of sequence homology to other known proteins. Genomic DNA sequence data can be exploited to predict target genes and their modes of regulation, as well as identify susceptible genotypes based on single nucleotide polymorphism data. In addition, highly parallel gene expression profiling technologies will allow toxicologists to mine large databases of gene expression data to discover molecular biomarkers and other diagnostic and prognostic genes or expression profiles. This review serves to introduce to toxicologists the concepts of in silico biology most relevant to mechanistic and predictive toxicology, while highlighting the applicability of in silico methods using select examples.     

Multi-Functional Diarylurea Small Molecule Inhibitors of TRPV1 with Therapeutic Potential for Neuroinflammation

Transient receptor potential vanilloid type 1 (TRPV1), a heat-sensitive calcium channel protein, contributes to inflammation as well as to acute and persistent pain. Since TRPV1 occupies a central position in pathways of neuronal inflammatory signaling, it represents a highly attractive potential therapeutic target for neuroinflammation. In the present work, we have in silico identified a series of diarylurea analogues for hTRPV1, of which 11 compounds showed activity in the nanomolar to micromolar range as validated by in vitro biological assays. Then, we utilized molecular docking to explore the detailed interactions between TRPV1 and the compounds to understand the contributions of the different substituent groups. Tyr511, Leu518, Leu547, Thr550, Asn551, Arg557, and Leu670 were important for the recognition of the small molecules by TRPV1. A hydrophobic group in R2 or a polar/hydrophilic group in R1 contributed significantly to the activities of the antagonists at TRPV1. In addition, the subtle different binding pose of meta-chloro in place of para-fluoro in the R2 group converted antagonism into partial agonism, as was predicted by our short-term molecular dynamics (MD) simulation and validated by bioassay. Importantly, compound 15, one of our best TRPV1 inhibitors, also showed potential binding affinity (1.39 μM) at cannabinoid receptor 2 (CB2), which is another attractive target for immuno-inflammation diseases. Furthermore, compound 1 and its diarylurea analogues were predicted to target the C-X-C chemokine receptor 2 (CXCR2), although bioassay validation of CXCR2 with these compounds still needs to be performed. This prediction from the modeling is of interest, since CXCR2 is also a potential therapeutic target for chronic inflammatory diseases. Our findings provide novel strategies to develop a small molecule inhibitor to simultaneously target two or more inflammation-related proteins for the treatment of a wide range of inflammatory disorders including neuroinflammation and neurodegenerative diseases with potential synergistic effect.     

Atomic Interactions and Profile of Small Molecules Disrupting Protein–Protein Interfaces: the TIMBAL Database

Growing evidence of the possibility of modulating protein–protein interactions with small molecules is opening the door to new approaches and concepts in drug discovery. In this paper, we describe the creation of TIMBAL, a hand‐curated database holding an up to date collection of small molecules inhibiting multi‐protein complexes. This database has been analysed and profiled in terms of molecular properties. Protein–protein modulators tend to be large lipophilic molecules with few hydrogen bond features. An analysis of TIMBAL’s intersection with other structural databases, including CREDO (protein–small molecule from the PDB) and PICCOLO (protein–protein from the PDB) reveals that TIMBAL molecules tend to form mainly hydrophobic interactions with only a few hydrogen bonding contacts. With respect to potency, TIMBAL molecules are slightly less efficient than an average medicinal chemistry hit or lead. The database provides a resource that will allow further insights into the types of molecules favoured by protein interfaces and provide a background to continuing work in this area. Access at http://www‐cryst.bioc.cam.ac.uk/timbal     

Inhibition of Acetylcholinesterase (AChE): A Potential Therapeutic Target to Treat Alzheimer's Disease

A new series of icariin derivatives were synthesized and evaluated for their in vitro acetylcholinesterase (AChE) inhibitory activity. Most of the tested compounds exhibited high AChE inhibition and low toxicity, and among which compounds 1 , 2 , and 10 were the most potent (IC₅₀ = 71.52 ± 22.43, 8.28 ± 1.45, 5.830 ± 1.78 nm , respectively).     

The Therapeutic Target Database: an internet resource for the primary targets of approved, clinical trial and experimental drugs

Increasing numbers of proteins, nucleic acids and other molecular entities have been explored as therapeutic targets. A challenge in drug discovery is to decide which targets to pursue from an increasing pool of potential targets, given the fact that few innovative targets have made it to the approval list each year. Knowledge of existing drug targets (both approved and within clinical trials) is highly useful for facilitating target discovery, selection, exploration and tool development. The Therapeutic Target Database (TTD) has been developed and updated to provide information on 358 successful targets, 251 clinical trial targets and 1254 research targets in addition to 1511 approved drugs, 1118 clinical trials drugs and 2331 experimental drugs linked to their primary targets (3257 drugs with available structure data). This review briefly describes the TTD database and illustrates how its data can be explored for facilitating target and drug searches, the study of the mechanism of multi-target drugs and the development of in silico target discovery tools.     

The Therapeutic Target Database: an Internet resource for the primary targets of approved,clinical trial and experimental drugs

Increasing numbers of proteins, nucleic acids and other molecular entities have been explored as therapeutic targets. A challenge in drug discovery is to decide which targets to pursue from an increasing pool of potential targets, given the fact that few innovative targets have made it to the approval list each year. Knowledge of existing drug targets (both approved and within clinical trials) is highly useful for facilitating target discovery, selection, exploration and tool development. The Therapeutic Target Database (TTD) has been developed and updated to provide information on 358 successful targets, 251 clinical trial targets and 1254 research targets in addition to 1511 approved drugs, 1118 clinical trials drugs and 2331 experimental drugs linked to their primary targets (3257 drugs with available structure data). This review briefly describes the TTD database and illustrates how its data can be explored for facilitating target and drug searches, the study of the mechanism of multi-target drugs and the development of in silico target discovery tools.     

EDITORIAL Neuroglia as a Central Element of Neurological Diseases: An Underappreciated Target for Therapeutic Intervention

Neuroglia of the central nervous system (CNS), represented by cells of neural (astrocytes, oligodendrocytes and NG2 glial cells) and myeloid (microglia) origins are fundamental for homeostasis of the nervous tissue. Astrocytes are critical for the development of the CNS, they are indispensable for synaptogenesis, and they define structural organisation of the nervous tissue, as well as the generation and maintenance of CNS-blood and cerebrospinal fluid-blood barriers. Astroglial cells control homeostasis of ions and neurotransmitters and provide neurones with metabolic support. Oligodendrocytes, through the process of myelination, as well as by homoeostatic support of axons provide for interneuronal connectivity. The NG2 cells receive direct synaptic inputs, and might be important elements of adult remyelination. Microglial cells, which originate from foetal macrophages invading the brain early in embryogenesis, shape the synaptic connections through removing of redundant synapses and phagocyting apoptotic neurones. Neuroglia also form the defensive system of the CNS through complex and context-specific programmes of activation, known as reactive gliosis. Many neurological diseases are associated with neurogliopathologies represented by asthenic and atrophic changes in glial cells that, through the loss or diminution of their homeostatic and defensive functions, assist evolution of pathology. Conceptually, neurological and psychiatric disorders can be regarded as failures of neuroglial homeostatic/defensive responses, and, hence, glia represent a (much underappreciated) target for therapeutic intervention.     

An Elemental Impurities Excipient Database: A Viable Tool for ICH Q3D Drug Product Risk Assessment

To support the practical implementation of the International Council for Harmonisation (ICH) Q3D guideline, which describes a risk-based approach to the control of elemental impurities in drug products, a consortium of pharmaceutical companies has established a database to collate the results of analytical studies of the levels of elemental impurities within pharmaceutical excipients. This database currently includes the results of 26,723 elemental determinations for 201 excipients and represents the largest known, and still rapidly expanding, collection of data of this type. Analysis of the database indicates good coverage of excipients relevant to real-world drug product formulations and tested element profiles consistent with ICH Q3D recommendations. The database includes the results from multiple analytical studies for an excipient and thus incorporates within it an indication of both excipient supplier and batch-to-batch variability as well as any variability associated with the different testing organizations and methods employed. The data confirm the findings of earlier smaller studies that elemental impurity concentrations in excipients are generally low and when used in typical proportions in formulated drug products are unlikely to pose a significant patient safety risk. The database is now in active use as one line of evidence in ICH Q3D risk assessments.     

Evaluation of Perylenediimide Derivatives for Potential Therapeutic Benefits on Cancer Chemotherapy

Perylene derivatives, known to have potential therapeutic benefits on particular cancer types as photosensitizers, may also function as small‐molecule inhibitors with promising therapeutic value for diverse diseases. This recently recognized biological activity was attributed to their capacity to modulate the function of various enzymes as biological targets in vitro. Although the inhibitory activity on glutathione transferase and Src tyrosine kinase is important in determining the anticancer potential of compounds for target‐specific drug design and development, to date, there are no successful inhibitors of this kind. Moreover, there are only a few studies about the effects of perylene derivatives on glutathione transferase and various kinases. In this study, four novel perylene compounds, N,N′‐disubstituted perylenediimides and their 1,7‐dibromo derivatives, were synthesized and evaluated for their biological activities. Here, among the compounds analyzed, one of them was identified with strong glutathione transferase inhibition and two with dual activity for both glutathione transferase and c‐src inhibition. These results revealed that perylene derivatives may be employed as potential chemosensitizers to prevent chemotherapy‐dependent drug resistance and identified as prospective anticancer agents with dual activity on both glutathione transferase and c‐src enzymes.     

多元醇通路:糖尿病性白内障药物干预的重要靶标

白内障是导致失明的主要因素,也是糖尿病的主要并发症之一.目前糖尿病性白内障的发病机制尚不十分明确,而多元醇通路的激活可导致渗透应激和氧化应激等一系列反应,被认为在糖尿病性白内障病理过程中发挥重要作用.简述多元醇通路在糖尿病性白内障发生发展中所起的作用,介绍近年来以多元醇通路中醛糖还原酶作为靶点的糖尿病性白内障治疗药物的研究进展.