Cancer Drug Development Using Drosophila as an in vivo Tool: From Bedside to Bench and Back.

Trends Pharmacol Sci. 2016 Jun 10;

Authors: Yadav AK, Srikrishna S, Gupta SC

Abstract
The fruit fly Drosophila melanogaster has been used for modeling cancer and as an in vivo tool for the validation and/or development of cancer therapeutics. The impetus for the use of Drosophila in cancer research stems from the high conservation of its signaling pathways, lower genetic redundancy, short life cycle, genetic amenability, and ease of maintenance. Several cell signaling pathways in Drosophila have been used for cancer drug development. The efficacy of combination therapy and uptake/bioavailability of drugs have also been studied. Drosophila has been validated using several FDA-approved drugs, suggesting a potential application of this model in drug repurposing. The model is emerging as a powerful tool for high-throughput screening and should significantly reduce the cost and time associated with drug development. In this review we discuss the applications of Drosophila in cancer drug development. The advantages and limitations of the model are discussed.

PMID: 27298020 [PubMed - as supplied by publisher]

Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.

Brief Bioinform. 2016 Jun 12;

Authors: Cheng F, Hong H, Yang S, Wei Y

Abstract
Advances in next-generation sequencing technologies have generated the data supporting a large volume of somatic alterations in several national and international cancer genome projects, such as The Cancer Genome Atlas and the International Cancer Genome Consortium. These cancer genomics data have facilitated the revolution of a novel oncology drug discovery paradigm from candidate target or gene studies toward targeting clinically relevant driver mutations or molecular features for precision cancer therapy. This focuses on identifying the most appropriately targeted therapy to an individual patient harboring a particularly genetic profile or molecular feature. However, traditional experimental approaches that are used to develop new chemical entities for targeting the clinically relevant driver mutations are costly and high-risk. Drug repositioning, also known as drug repurposing, re-tasking or re-profiling, has been demonstrated as a promising strategy for drug discovery and development. Recently, computational techniques and methods have been proposed for oncology drug repositioning and identifying pharmacogenomics biomarkers, but overall progress remains to be seen. In this review, we focus on introducing new developments and advances of the individualized network-based drug repositioning approaches by targeting the clinically relevant driver events or molecular features derived from cancer panomics data for the development of precision oncology drug therapies (e.g. one-person trials) to fully realize the promise of precision medicine. We discuss several potential challenges (e.g. tumor heterogeneity and cancer subclones) for precision oncology. Finally, we highlight several new directions for the precision oncology drug discovery via biotherapies (e.g. gene therapy and immunotherapy) that target the 'undruggable' cancer genome in the functional genomics era.

PMID: 27296652 [PubMed - as supplied by publisher]

Glipizide suppresses prostate cancer progression in the TRAMP model by inhibiting angiogenesis.

Sci Rep. 2016;6:27819

Authors: Qi C, Bin Li, Yang Y, Yang Y, Li J, Zhou Q, Wen Y, Zeng C, Zheng L, Zhang Q, Li J, He X, Zhou J, Shao C, Wang L

Abstract
Drug repurposing of non-cancer drugs represents an attractive approach to develop new cancer therapy. Using the TRAMP transgenic mouse model, glipizide, a widely used drug for type 2 diabetes mellitus, has been identified to suppress prostate cancer (PC) growth and metastasis. Angiogenesis is intimately associated with various human cancer developments. Intriguingly, glipizide significantly reduces microvessel density in PC tumor tissues, while not inhibiting prostate cancer cell proliferation from the MTT assay and flow cytometry investigation. Moreover, glipizide inhibits the tubular structure formation of human umbilical vein endothelial cells by regulating the HMGIY/Angiopoietin-1 signaling pathway. Taken together, these results demonstrate that glipizide has the potential to be repurposed as an effective therapeutic for the treatment of PC by targeting tumor-induced angiogenesis.

PMID: 27292155 [PubMed - in process]

Progresses in treating agitation: a major clinical challenge in Alzheimer's disease.

Expert Opin Pharmacother. 2015;16(17):2581-8

Authors: Panza F, Solfrizzi V, Seripa D, Imbimbo BP, Santamato A, Lozupone M, Prete C, Greco A, Pilotto A, Logroscino G

Abstract
INTRODUCTION: Treatment of neuropsychiatric symptoms (NPS) represents a major clinical challenge in Alzheimer's disease (AD). Agitation and aggression are frequently seen during institutionalization and increase patient morbidity and mortality and caregiver burden. Off-label use of atypical antipsychotics for treating agitation in AD showed only modest clinical benefits, with high side-effect burden and risk of mortality. Non-pharmacological treatment approaches have become the preferred first-line option. When such treatment fails, pharmacological options are often used. Therefore, there is an urgent need to identify effective and safe pharmacological treatments for efficiently treating agitation and aggression in AD and dementia.
AREAS COVERED: Emerging evidence on the neurobiological substrates of agitation in AD has led to several recent clinical trials of repositioned and novel therapeutics for these NPS in dementia as an alternative to antipsychotics. We operated a comprehensive literature search for published articles evaluating pharmacological interventions for agitation in AD, with a review of recent clinical trials on mibampator, dextromethorphan/quinidine, cannabinoids, and citalopram.
EXPERT OPINION: Notwithstanding the renewed interest for the pharmacological treatment of agitation in AD, progresses have been limited. A small number and, sometimes methodologically questionable, randomized controlled trials (RCTs) have produced disappointing results. However, recently completed RCTs on novel or repositioned drugs (mibampator, dextromethorphan/quinidine, cannabinoids, and citalopram) showed some promise in treating agitation in AD, but still with safety concerns. Further evidence will come from ongoing Phase II and III trials on promising novel drugs for treating these distressing symptoms in patients with AD and dementia.

PMID: 26389682 [PubMed - indexed for MEDLINE]

Connectivity mapping (ssCMap) to predict A20-inducing drugs and their antiinflammatory action in cystic fibrosis.

Proc Natl Acad Sci U S A. 2016 Jun 10;

Authors: Malcomson B, Wilson H, Veglia E, Thillaiyampalam G, Barsden R, Donegan S, El Banna A, Elborn JS, Ennis M, Kelly C, Zhang SD, Schock BC

Abstract
Cystic fibrosis (CF) lung disease is characterized by chronic and exaggerated inflammation in the airways. Despite recent developments to therapeutically overcome the underlying functional defect in the cystic fibrosis transmembrane conductance regulator, there is still an unmet need to also normalize the inflammatory response. The prolonged and heightened inflammatory response in CF is, in part, mediated by a lack of intrinsic down-regulation of the proinflammatory NF-κB pathway. We have previously identified reduced expression of the NF-κB down-regulator A20 in CF as a key target to normalize the inflammatory response. Here, we have used publicly available gene array expression data together with a statistically significant connections' map (sscMap) to successfully predict drugs already licensed for the use in humans to induce A20 mRNA and protein expression and thereby reduce inflammation. The effect of the predicted drugs on A20 and NF-κB(p65) expression (mRNA) as well as proinflammatory cytokine release (IL-8) in the presence and absence of bacterial LPS was shown in bronchial epithelial cells lines (16HBE14o-, CFBE41o-) and in primary nasal epithelial cells from patients with CF (Phe508del homozygous) and non-CF controls. Additionally, the specificity of the drug action on A20 was confirmed using cell lines with tnfαip3 (A20) knockdown (siRNA). We also show that the A20-inducing effect of ikarugamycin and quercetin is lower in CF-derived airway epithelial cells than in non-CF cells.

PMID: 27286825 [PubMed - as supplied by publisher]

Pharmacological exploitation of the phenothiazine antipsychotics to develop novel antitumor agents-A drug repurposing strategy.

Sci Rep. 2016;6:27540

Authors: Wu CH, Bai LY, Tsai MH, Chu PC, Chiu CF, Chen MY, Chiu SJ, Chiang JH, Weng JR

Abstract
Phenothiazines (PTZs) have been used for the antipsychotic drugs for centuries. However, some of these PTZs have been reported to exhibit antitumor effects by targeting various signaling pathways in vitro and in vivo. Thus, this study was aimed at exploiting trifluoperazine, one of PTZs, to develop potent antitumor agents. This effort culminated in A4 [10-(3-(piperazin-1-yl)propyl)-2-(trifluoromethyl)-10H-phenothiazine] which exhibited multi-fold higher apoptosis-inducing activity than the parent compound in oral cancer cells. Compared to trifluoperazine, A4 demonstrated similar regulation on the phosphorylation or expression of multiple molecular targets including Akt, p38, and ERK. In addition, A4 induced autophagy, as evidenced by increased expression of the autophagy biomarkers LC3B-II and Atg5, and autophagosomes formation. The antitumor activity of A4 also related to production of reactive oxygen species and adenosine monophosphate-activated protein kinase. Importantly, the antitumor utility of A4 was extended in vivo as it, administrated at 10 and 20 mg/kg intraperitoneally, suppressed the growth of Ca922 xenograft tumors. In conclusion, the ability of A4 to target diverse aspects of cancer cell growth suggests its value in oral cancer therapy.

PMID: 27277973 [PubMed - in process]

The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.

Brief Bioinform. 2016 Jun 5;

Authors: Vilar S, Hripcsak G

Abstract
Explosion of the availability of big data sources along with the development in computational methods provides a useful framework to study drugs' actions, such as interactions with pharmacological targets and off-targets. Databases related to protein interactions, adverse effects and genomic profiles are available to be used for the construction of computational models. In this article, we focus on the description of biological profiles for drugs that can be used as a system to compare similarity and create methods to predict and analyze drugs' actions. We highlight profiles constructed with different biological data, such as target-protein interactions, gene expression measurements, adverse effects and disease profiles. We focus on the discovery of new targets or pathways for drugs already in the pharmaceutical market, also called drug repurposing, in the interaction with off-targets responsible for adverse reactions and in drug-drug interaction analysis. The current and future applications, strengths and challenges facing all these methods are also discussed. Biological profiles or signatures are an important source of data generation to deeply analyze biological actions with important implications in drug-related studies.

PMID: 27273288 [PubMed - as supplied by publisher]

A Platform to Enable the Pharmacological Profiling of Small Molecules in Gel-Based Electrophoretic Mobility Shift Assays.

J Biomol Screen. 2016 Jun 6;

Authors: Foley TL, Dorjsuren D, Dexheimer TS, Burkart MD, Wight WC, Simeonov A

Abstract
We describe a polyacrylamide gel casting cassette that overcomes limitations of commercially available gel electrophoresis equipment. This apparatus molds a single polyacrylamide gel that can evaluate more than 200 samples in parallel, is loaded with a multichannel pipettor, and is flexible with respect to composition of the separating matrix. We demonstrate its use to characterize inhibitors of enzymes that modify protein and nucleic acid substrates. Throughputs of greater than 1000 samples per day were achieved when this system was paired with a quantitative laser-based imaging system, yielding data of remarkable quality.

PMID: 27269812 [PubMed - as supplied by publisher]

Treatment of Disseminated Leishmaniasis With Liposomal Amphotericin B.

Clin Infect Dis. 2015 Sep 15;61(6):945-9

Authors: Machado PR, Rosa ME, Guimarães LH, Prates FV, Queiroz A, Schriefer A, Carvalho EM

Abstract
BACKGROUND: Disseminated leishmaniasis (DL) is a severe and emerging form of American tegumentary leishmaniasis, associated primarily with infection by Leishmania brasiliensis. DL is defined by the presence of ≥10 mixed-type lesions such as inflammatory papules and ulcers, located in ≥2 body parts. Most patients have hundreds of lesions all over the body, and mucosal involvement is detected in up to 44% of cases. DL is a difficult to cure disease and pentavalent antimony (Sb(v)) is used as standard treatment, its highest dosage being 20 mg/kg/day, for 30 days. However, less than 25% of DL cases will be cured after standard therapy, and the majority of cases will require more than one course of Sb(v) for a cure. In this context, new therapies are needed that offer a higher cure rate and a better safety profile, with convenience in drug administration.
METHODS: We have evaluated liposomal amphotericin B in 20 patients with DL in an open clinical trial. The total dose ranged from 17 to 37 mg/kg, used in 7 to 14 days of treatment.
RESULTS: Cure rate at 3 months after therapy was 70%. One relapse was documented 4 months after treatment, producing a final cure rate of 65%. Although liposomal amphotericin B was considered well tolerated, mild adverse events were documented in 75% of the patients.
CONCLUSIONS: Liposomal amphotericin B is an effective therapy for DL, with a higher final cure rate of 75% observed when used in a total dose above 30 mg/kg.
CLINICAL TRIALS REGISTRATION: NCT02025491.

PMID: 26048961 [PubMed - indexed for MEDLINE]

RANKS: a flexible tool for node label ranking and classification in biological networks.

Bioinformatics. 2016 Jun 2;

Authors: Valentini G, Armano G, Frasca M, Lin J, Mesiti M, Re M

Abstract
RANKS is a flexible software package that can be easily applied to any bioinformatics task formalisable as ranking of nodes with respect to a property given as a label, such as automated protein function prediction, gene disease prioritization and drug repositioning. To this end RANKS provides an efficient and easy-to-use implementation of kernelized score functions, a semi-supervised algorithmic scheme embedding both local and global learning strategies for the analysis of biomolecular networks. To facilitate comparative assessment, baseline network-based methods, e.g. label propagation and random walk algorithms, have also been implementedAvailability and implementation: The package is available from CRAN: https://cran.r-project.org/ The package is written in R, except for the most computationally intensive functionalities which are implemented in C.
CONTACT: valentini@di.unimi.it SUPPLEMENTARY INFORMATION: Supplementary Information are available at Bioinformatics online.

PMID: 27256314 [PubMed - as supplied by publisher]

Drug combination therapy increases successful drug repositioning.

Drug Discov Today. 2016 May 27;

Authors: Sun W, Sanderson P, Zheng W

Abstract
Repositioning of approved drugs has recently gained new momentum for rapid identification and development of new therapeutics for diseases that lack effective drug treatment. Reported repurposing screens have increased dramatically in number in the past five years. However, many newly identified compounds have low potency; this limits their immediate clinical applications because the known, tolerated plasma drug concentrations are lower than the required therapeutic drug concentrations. Drug combinations of two or more compounds with different mechanisms of action are an alternative approach to increase the success rate of drug repositioning.

PMID: 27240777 [PubMed - as supplied by publisher]

Non-diabetic clinical applications of insulin.

J Basic Clin Physiol Pharmacol. 2016 May 28;

Authors: Benni JM, Patil PA

Abstract
BACKGROUND: Introducing a new drug to the market is a time-consuming process, is complex, and involves consumption of a lot of resources. Therefore, discovering new uses for the old drugs (i.e. drug repurposing) benefits the patients by providing them time-tested drugs. With developments in insulin therapy still happening, it is worth keeping up to date on trends in the use of this powerful glucose-lowering agent. The aim of this article is to explore the potential non-diabetic clinical applications of insulin.
METHODS: Literature survey was carried out through the various scientific journals publishing experimental and clinical research papers regarding the diverse applications of insulin other than in diabetes mellitus. These applications include both therapeutic as well as diagnostic uses of insulin. The relevant information collected from these publications was paraphrased in the present paper.
RESULTS: On studying the literature, the non-diabetic uses of insulin include the following: wound healing, parenteral nutrition, antiaging, body building, cardioprotection in acute coronary syndromes, insulin tolerance test to test the hypothalamo-pituitary-adrenal axis functioning, cell culture, cancer treatment, organ preservation, and management of septic shock, calcium channel, β blocker overdose and other critical illnesses in intensive care units.
CONCLUSIONS: This review attempts to survey some interesting new applications of insulin other than in diabetes mellitus.

PMID: 27235672 [PubMed - as supplied by publisher]

Cogena, a novel tool for co-expressed gene-set enrichment analysis, applied to drug repositioning and drug mode of action discovery.

BMC Genomics. 2016;17(1):414

Authors: Jia Z, Liu Y, Guan N, Bo X, Luo Z, Barnes MR

Abstract
BACKGROUND: Drug repositioning, finding new indications for existing drugs, has gained much recent attention as a potentially efficient and economical strategy for accelerating new therapies into the clinic. Although improvement in the sensitivity of computational drug repositioning methods has identified numerous credible repositioning opportunities, few have been progressed. Arguably the "black box" nature of drug action in a new indication is one of the main blocks to progression, highlighting the need for methods that inform on the broader target mechanism in the disease context.
RESULTS: We demonstrate that the analysis of co-expressed genes may be a critical first step towards illumination of both disease pathology and mode of drug action. We achieve this using a novel framework, co-expressed gene-set enrichment analysis (cogena) for co-expression analysis of gene expression signatures and gene set enrichment analysis of co-expressed genes. The cogena framework enables simultaneous, pathway driven, disease and drug repositioning analysis. Cogena can be used to illuminate coordinated changes within disease transcriptomes and identify drugs acting mechanistically within this framework. We illustrate this using a psoriatic skin transcriptome, as an exemplar, and recover two widely used Psoriasis drugs (Methotrexate and Ciclosporin) with distinct modes of action. Cogena out-performs the results of Connectivity Map and NFFinder webservers in similar disease transcriptome analyses. Furthermore, we investigated the literature support for the other top-ranked compounds to treat psoriasis and showed how the outputs of cogena analysis can contribute new insight to support the progression of drugs into the clinic. We have made cogena freely available within Bioconductor or https://github.com/zhilongjia/cogena .
CONCLUSIONS: In conclusion, by targeting co-expressed genes within disease transcriptomes, cogena offers novel biological insight, which can be effectively harnessed for drug discovery and repositioning, allowing the grouping and prioritisation of drug repositioning candidates on the basis of putative mode of action.

PMID: 27234029 [PubMed - as supplied by publisher]

Identification of associations between small molecule drugs and miRNAs based on functional similarity.

Oncotarget. 2016 May 24;

Authors: Wang J, Meng F, Dai E, Yang F, Wang S, Chen X, Yang L, Wang Y, Jiang W

Abstract
MicroRNAs (miRNAs) are a class of small non-coding RNA molecules that regulate gene expression at post-transcriptional level. Increasing evidences show aberrant expression of miRNAs in varieties of diseases. Targeting the dysregulated miRNAs with small molecule drugs has become a novel therapy for many human diseases, especially cancer. Here, we proposed a novel computational approach to identify associations between small molecules and miRNAs based on functional similarity of differentially expressed genes. At the significance level of p < 0.01, we constructed the small molecule and miRNA functional similarity network involving 111 small molecules and 20 miRNAs. Moreover, we also predicted associations between drugs and diseases through integrating our identified small molecule-miRNA associations with experimentally validated disease related miRNAs. As a result, we identified 2265 associations between FDA approved drugs and diseases, in which ~35% associations have been validated by comprehensive literature reviews. For breast cancer, we identified 19 potential drugs, in which 12 drugs were supported by previous studies. In addition, we performed survival analysis for the patients from TCGA and GEO database, which indicated that the associated miRNAs of 4 drugs might be good prognosis markers in breast cancer. Collectively, this study proposed a novel approach to predict small molecule and miRNA associations based on functional similarity, which may pave a new way for miRNA-targeted therapy and drug repositioning.

PMID: 27232942 [PubMed - as supplied by publisher]

What We Know About the Pathogenesis of Idiopathic Pulmonary Fibrosis.

Semin Respir Crit Care Med. 2016 Jun;37(3):358-367

Authors: Puglisi S, Torrisi SE, Giuliano R, Vindigni V, Vancheri C

Abstract
Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease of unknown cause, occurring in adults, limited to the lungs and associated with the pathologic and radiologic pattern of usual interstitial pneumonia. Prognosis is poor, and most patients die of respiratory failure within 3 to 6 years from the onset of symptoms. Although our understanding of the pathogenesis of IPF has improved over the past two decades, the mechanisms responsible for this disorder have not been clearly defined. Aging is the single most important risk factor, but genetic, environmental, and diverse exogenous factors such as smoking, viral infections, chronic tissue injury (i.e., gastroesophageal reflux disease, traction injury) play contributory roles. In this review, we focus on pathogenetic mechanisms that we think are crucial for the initiation of the fibrotic process and for its progressive evolution. In the early stage of the disease, in the context of the permissive genetic background combined with the presence of specific risk factors, alveolar epithelial cells play a leading role. Subsequent evolution of the fibrotic process and its lethal progression is likely due to the abnormal tissue repair process that takes place in the lung and to the inability to counteract this process. In this phase of the disease, fibroblasts assume a crucial role. Current pharmacological treatment strategies for IPF have only modest value, principally by slowing the course of disease progression. Unfortunately, improvement or cure has not yet been achieved with pharmacological agents. The challenge for the future is to improve the comprehension of the mechanisms involved in the inception and evolution of IPF and their articulated interactions. This is fundamental not only to conceive and develop new drugs against this dreadful disease but also to apply different therapeutic approaches such as drug repositioning and personalized therapies in the management of IPF.

PMID: 27231860 [PubMed - as supplied by publisher]

Data integration to prioritize drugs using genomics and curated data.

BioData Min. 2016;9:21

Authors: Louhimo R, Laakso M, Belitskin D, Klefström J, Lehtonen R, Hautaniemi S

Abstract
BACKGROUND: Genomic alterations affecting drug target proteins occur in several tumor types and are prime candidates for patient-specific tailored treatments. Increasingly, patients likely to benefit from targeted cancer therapy are selected based on molecular alterations. The selection of a precision therapy benefiting most patients is challenging but can be enhanced with integration of multiple types of molecular data. Data integration approaches for drug prioritization have successfully integrated diverse molecular data but do not take full advantage of existing data and literature.
RESULTS: We have built a knowledge-base which connects data from public databases with molecular results from over 2200 tumors, signaling pathways and drug-target databases. Moreover, we have developed a data mining algorithm to effectively utilize this heterogeneous knowledge-base. Our algorithm is designed to facilitate retargeting of existing drugs by stratifying samples and prioritizing drug targets. We analyzed 797 primary tumors from The Cancer Genome Atlas breast and ovarian cancer cohorts using our framework. FGFR, CDK and HER2 inhibitors were prioritized in breast and ovarian data sets. Estrogen receptor positive breast tumors showed potential sensitivity to targeted inhibitors of FGFR due to activation of FGFR3.
CONCLUSIONS: Our results suggest that computational sample stratification selects potentially sensitive samples for targeted therapies and can aid in precision medicine drug repositioning. Source code is available from http://csblcanges.fimm.fi/GOPredict/.

PMID: 27231484 [PubMed]

Antiviral activity of doxycycline against vesicular stomatitis virus in vitro.

FEMS Microbiol Lett. 2015 Nov;362(22)

Authors: Wu ZC, Wang X, Wei JC, Li BB, Shao DH, Li YM, Liu K, Shi YY, Zhou B, Qiu YF, Ma ZY

Abstract
Doxycycline (Dox) is a tetracycline derivative with broad-spectrum antimicrobial activities that is used as an effector substance in inducible gene-expression systems. We investigated the antiviral activity of Dox against vesicular stomatitis virus (VSV) infection in cultured H1299 cells. Dox at concentrations of 1.0-2.0 μg ml(-1) significantly inhibited VSV replication and the VSV-induced cytopathic effect in dose-dependent manners, suggesting that Dox may have broader activity in inhibiting viral replication, in addition to its well-defined bacteriostatic activity. Dox exerted its antiviral effect at the early-mid stage of VSV infection, suggesting that it did not interfere with VSV infectivity, adsorption, or entry into target cells. These results indicate that Dox can inhibit VSV infection and may therefore have potential applications for the treatment of viral infections.

PMID: 26459887 [PubMed - indexed for MEDLINE]

Drugs affecting glycosaminoglycan metabolism.

Drug Discov Today. 2016 May 20;

Authors: Ghiselli G, Maccarana M

Abstract
Glycosaminoglycans (GAGs) are charged polysaccharides ubiquitously present at the cell surface and in the extracellular matrix. GAGs are crucial for cellular homeostasis, and their metabolism is altered during pathological processes. However, little consideration has been given to the regulation of the GAG milieu through pharmacological interventions. In this review, we provide a classification of small molecules affecting GAG metabolism based on their mechanism of action. Furthermore, we present evidence to show that clinically approved drugs affect GAG metabolism and that this could contribute to their therapeutic benefit.

PMID: 27217160 [PubMed - as supplied by publisher]

Mood, stress and longevity: convergence on ANK3.

Mol Psychiatry. 2016 May 24;

Authors: Rangaraju S, Levey DF, Nho K, Jain N, Andrews KD, Le-Niculescu H, Salomon DR, Saykin AJ, Petrascheck M, Niculescu AB

Abstract
Antidepressants have been shown to improve longevity in C. elegans. It is plausible that orthologs of genes involved in mood regulation and stress response are involved in such an effect. We sought to understand the underlying biology. First, we analyzed the transcriptome from worms treated with the antidepressant mianserin, previously identified in a large-scale unbiased drug screen as promoting increased lifespan in worms. We identified the most robust treatment-related changes in gene expression, and identified the corresponding human orthologs. Our analysis uncovered a series of genes and biological pathways that may be at the interface between antidepressant effects and longevity, notably pathways involved in drug metabolism/degradation (nicotine and melatonin). Second, we examined which of these genes overlap with genes which may be involved in depressive symptoms in an aging non-psychiatric human population (n=3577), discovered using a genome-wide association study (GWAS) approach in a design with extremes of distribution of phenotype. Third, we used a convergent functional genomics (CFG) approach to prioritize these genes for relevance to mood disorders and stress. The top gene identified was ANK3. To validate our findings, we conducted genetic and gene-expression studies, in C. elegans and in humans. We studied C. elegans inactivating mutants for ANK3/unc-44, and show that they survive longer than wild-type, particularly in older worms, independently of mianserin treatment. We also show that some ANK3/unc-44 expression is necessary for the effects of mianserin on prolonging lifespan and survival in the face of oxidative stress, particularly in younger worms. Wild-type ANK3/unc-44 increases in expression with age in C. elegans, and is maintained at lower youthful levels by mianserin treatment. These lower levels may be optimal in terms of longevity, offering a favorable balance between sufficient oxidative stress resistance in younger worms and survival effects in older worms. Thus, ANK3/unc-44 may represent an example of antagonistic pleiotropy, in which low-expression level in young animals are beneficial, but the age-associated increase becomes detrimental. Inactivating mutations in ANK3/unc-44 reverse this effect and cause detrimental effects in young animals (sensitivity to oxidative stress) and beneficial effect in old animals (increased survival). In humans, we studied if the most significant single nucleotide polymorphism (SNP) for depressive symptoms in ANK3 from our GWAS has a relationship to lifespan, and show a trend towards longer lifespan in individuals with the risk allele for depressive symptoms in men (odds ratio (OR) 1.41, P=0.031) but not in women (OR 1.08, P=0.33). We also examined whether ANK3, by itself or in a panel with other top CFG-prioritized genes, acts as a blood gene-expression biomarker for biological age, in two independent cohorts, one of live psychiatric patients (n=737), and one of suicide completers from the coroner's office (n=45). We show significantly lower levels of ANK3 expression in chronologically younger individuals than in middle age individuals, with a diminution of that effect in suicide completers, who presumably have been exposed to more severe and acute negative mood and stress. Of note, ANK3 was previously reported to be overexpressed in fibroblasts from patients with Hutchinson-Gilford progeria syndrome, a form of accelerated aging. Taken together, these studies uncover ANK3 and other genes in our dataset as biological links between mood, stress and longevity/aging, that may be biomarkers as well as targets for preventive or therapeutic interventions. Drug repurposing bioinformatics analyses identified the relatively innocuous omega-3 fatty acid DHA (docosahexaenoic acid), piracetam, quercetin, vitamin D and resveratrol as potential longevity promoting compounds, along with a series of existing drugs, such as estrogen-like compounds, antidiabetics and sirolimus/rapamycin. Intriguingly, some of our top candidate genes for mood and stress-modulated longevity were changed in expression in opposite direction in previous studies in the Alzheimer disease. Additionally, a whole series of others were changed in expression in opposite direction in our previous studies on suicide, suggesting the possibility of a "life switch" actively controlled by mood and stress.Molecular Psychiatry advance online publication, 24 May 2016; doi:10.1038/mp.2016.65.

PMID: 27217151 [PubMed - as supplied by publisher]

Novel cruzipain inhibitors for the chemotherapy of chronic Chagas disease.

Int J Antimicrob Agents. 2016 Apr 22;

Authors: Sbaraglini ML, Bellera CL, Fraccaroli L, Larocca L, Carrillo C, Talevi A, Alba Soto CD

Abstract
Despite current efforts worldwide to develop new medications against Chagas disease, only two drugs are available, nifurtimox and benznidazole. Both drugs require prolonged treatment and have multiple side effects and limited efficacy on adult patients chronically infected with Trypanosoma cruzi. Recently, computer-guided drug repositioning led to the discovery of the trypanocidal effects of clofazimine and benidipine. These compounds showed inhibitory effects on cruzipain, the major cysteine protease of T. cruzi, of different parasite stages and in a murine model of acute Chagas disease. The aim of this work was to determine the efficacy of these novel cruzipain inhibitors when administered in a murine model of chronic Chagas disease. Benidipine and clofazimine were able to reduce the parasite burden in cardiac and skeletal muscles of chronically infected mice compared with untreated mice as well as diminish the inflammatory process in these tissues. Further studies should be performed to study the synergism with benznidazole and nifurtimox in view of combined therapies.

PMID: 27216381 [PubMed - as supplied by publisher]