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Oxidative stress is defined as an imbalance between the production of free radicals and reactive oxygen species (ROS) and the ability of the body to neutralize them by antioxidant defense systems. Cells produce ROS as a control of physiological processes, but increasing ROS becomes pathological leading to non-specific and irreversible damage to biological molecules, such as DNA, lipid, and protein. Endogenous ROS are mainly produced by mitochondria during both physiological and pathological conditions, and enzymes, such as nicotinamide adenine dinucleotide phosphate oxidase (NOX), xanthine oxidase (XO), lipoxygenase (LOX), myeloperoxidase (MPO) and monoamine oxidase (MAO). To neutralize ROS, the body employs enzymatic and non-enzymatic defense systems. The dietary intake of bioactive phenols, such as quercetin (Que), is a non-enzymatic system that can quench ROS and protect from pro-oxidative damage. In this review, we evaluate the ability of Que to target endogenous oxidant enzymes involved in ROS production and explore the mechanisms of action underlying its antioxidant properties. Que not only acts as a free radical scavenger by donating electrons through the negative charges in its phenolic and ketone groups, but it can effectively inhibit the activity of several endogenous oxidative enzymes, binding them with high affinity and specificity. Among all targets, Que showed the best results in molecular docking simulations with XO, followed by MAO-A, 5-LOX, NOX, and MPO. Taken together, these findings highlight the potential of Que as a natural antioxidant therapy for oxidative stress-related diseases.

Background: MS is a chronic inflammatory disease of the CNS leading to demyelination and neurodegeneration, with a complex and still to be clarified aetiology. Several data, coming from patients' samples and from animal models, show that Oxidative Status (OS) plays an important role in MS pathogenesis. Overproduction of reactive oxidative species by macrophages/microglia can bring about cellular injury and ensuing cell death by oxidizing cardinal cellular components. Oxidized molecules are present in active MS lesions and are associated with neurodegeneration. Methods: We undertook a structured search of bibliographic databases for peer-reviewed research literature focusing on OS in MS. The contents of the selected papers were described in the context of a conceptual framework. A special emphasis was given to the results of our study in the field. Results: The results of our three recent studies were put in the context and discussed taking into account the literature on the topic. Oxidative damage underpinned an imbalance shared by MS and neurodegenerative diseases such as Alzheimer and Parkinson diseases. In people with clinically isolated syndrome (an early phase of MS) oxidative stress proved to contribute to disease pathophysiology and to provide biomarkers that may help predict disease evolution. A drug screening platform based on multiple assays to test the remyelinating potential of library of approved compounds showed two anti-oxidants, edaravone and 5-methyl-7- methoxyisoflavone, as active drugs. Moreover, an analysis of 'structure activity relationship' showed off-targets sites of these compounds that accounted for their remyelinating activity, irrespective of their antioxidant action. Conclusion: Overall, edaravone emerges as a candidate to treat complex disease such as MS, where inflammation, oxidative stress and neurodegeneration contribute to disease progression, together or individually, in different phases and disease types. Furthermore, approaches based on drug repositioning seem to maintain the promise of helping discover novel treatment for complex diseases, where molecular targets are largely unknown.

In multiple sclerosis (MS), oxidative stress (OS) is implicated in the neurodegenerative processes that occur from the beginning of the disease. Unchecked OS initiates a vicious circle caused by its crosstalk with inflammation, leading to demyelination, axonal damage and neuronal loss. The failure of MS antioxidant therapies relying on the use of endogenous and natural compounds drives the application of novel approaches to assess target relevance to the disease prior to preclinical testing of new drug candidates. To identify drugs that can act as regulators of intracellular oxidative homeostasis, we applied an in silico approach that links genome-wide MS associations and molecular quantitative trait loci (QTLs) to proteins of the OS pathway. We found 10 drugs with both central nervous system and oral bioavailability, targeting five out of the 21 top-scoring hits, including arginine methyltransferase (CARM1), which was first linked to MS. In particular, the direction of brain expression QTLs for CARM1 and protein kinase MAPK1 enabled us to select BIIB021 and PEITC drugs with the required target modulation. Our study highlights OS-related molecules regulated by functional MS variants that could be targeted by existing drugs as a supplement to the approved disease-modifying treatments.

To investigate the genetic regulation of platelet (PLT) levels we carried out a whole-genome association analysis in 6,528 Sardinians from the general population of the Lanusei valley. We found 6 variants significantly influencing PLT levels, including a novel rare missense mutation (p.Pro27Ser) in the GP1BB protein that is associated with PLT reduction (P=1.17×10−16). This mutation is rare in the SardiNIA population cohort (frequency of 0.45%), even rarer in the rest of the Sardinian island (frequency of 0.16%), and not reported elsewhere. Notably, GP1BB is involved in Bernard-Soulier syndrome (BSS), a rare autosomal recessive bleeding disorder caused by a defect in the platelet GPIb-IX-V protein complex. Consistently, the 57 identified individuals heterozygous for the p.P27S mutation showed mild thrombocytopenia, morphologically enlarged platelets (P=2.13×10−10), and reduced expression of two GPIb-IX-V-complex components: GPIbα (−26.51%, P=3.66×10−8) and GPIX (−24.69%, P=2.66×10−6). Molecular modeling infers a corresponding reduction in the stability of GP1BB. These observations predict that in homozygosity as well as in individuals carrying specific compound heterozygous configurations, this variant likely causes BSS.

Choosing the right biological target is the critical primary decision for the development of new drugs. Systematic genetic association testing of both human diseases and quantitative traits, along with resultant findings of coincident associations between them, is becoming a powerful approach to infer drug targetable candidates and generate in vitro tests to identify compounds that can modulate them therapeutically. Here, we discuss opportunities and challenges, and infer criteria for the optimal use of genetic findings in the drug discovery pipeline.

We report on the influence of ~22 million variants on 731 immune cell traits in a cohort of 3,757 Sardinians. We detected 122 significant (P

We report here a novel de novo missense variant affecting the last amino acid of exon 30 of CREBBP [NM_004380, c.5170G>A; p.(Glu1724Lys)] in a 17-year-old boy presenting mild intellectual disability and dysmorphisms but not resembling the phenotype of classical Rubinstein–Taybi syndrome. The patient showed a marked overweight from early infancy on and had cortical heterotopias. Recently, 22 individuals have been reported with missense mutations in the last part of exon 30 and the beginning of exon 31 of CREBBP, showing this new phenotype. This additional case further delineates the genotype–phenotype correlations within the molecular and phenotypic spectrum of variants in CREBBP and EP300.

The concept of chemical similarity has many applications in several fields of cheminformatics. One common use of chemical similarity measurements, based on the principle that similar molecules have similar properties, is in the context of the read-across approach, where estimates of a specific endpoint for a chemical are obtained starting from experimental data available from highly similar compounds.This chapter reports an implementation of chemical similarity and the analysis of multiple combinations of binary fingerprints and similarity metrics in the context of the read-across technique.This analysis demonstrates that the classical similarity measurements can be improved with a generalizable model of similarity. The approach presented here has been implemented in two open-source software tools for computational toxicology (CAESAR and VEGA).

The concept of chemical similarity has many applications in several fields of cheminformatics. One common use of chemical similarity measurements, based on the principle that similar molecules have similar properties, is in the context of the read-across approach, where estimates of a specific endpoint for a chemical are obtained starting from experimental data available from highly similar compounds.This chapter reports an implementation of chemical similarity and the analysis of multiple combinations of binary fingerprints and similarity metrics in the context of the read-across technique.This analysis demonstrates that the classical similarity measurements can be improved with a generalizable model of similarity. The approach presented here has been implemented in two open-source software tools for computational toxicology (CAESAR and VEGA).

Supported by grants (2011/R/13 and 2015/R/09, to Dr. Cucca) from the Italian Foundation for Multiple Sclerosis; contracts (N01-AG-1-2109 and HHSN271201100005C, to Dr. Cucca) from the Intramural Research Program of the National Institute on Aging, National Institutes of Health (NIH); a grant (FaReBio2011 “Farmaci e Reti Biotecnologiche di Qualità,” to Dr. Cucca) from the Italian Ministry of Economy and Finance; a grant (633964, to Dr. Cucca) from the Horizon 2020 Research and Innovation Program of the European Union (...), Steri, M.; Orru, V.; Idda, M. L.; Pitzalis, M.; Pala, M.; Zara, I.; Sidore, C.; Faa, V.; Floris, M.; Deiana, M.; Asunis, I.; Porcu, E.; Mulas, A.; Piras, M. G.; Lobina, M.; Lai, S.; Marongiu, M.; Serra, V.; Marongiu, M.; Sole, G.; Busonero, F.; Maschio, A.; Cusano, R.; Cuccuru, G.; Deidda, F.; Poddie, F.; Farina, G.; Dei, M.; Virdis, F.; Olla, S.; Satta, M. A.; Pani, M.; Delitala, A.; Cocco, E.; Frau, J.; Coghe, G.; Lorefice, L.; Fenu, G.; Ferrigno, P.; Ban, M.; Barizzone, N.; Leone, M.; Guerini, F. R.; Piga, M.; Firinu, D.; Kockum, I.; Bomfim, I. Lima; Olsson, T.; Alfredsson, L.; Suarez, A.; Carreira, P. E.; Castillo-Palma, M. J.; Marcus, J. H.; Congia, M.; Angius, A.; Melis, M.; Gonzalez, A.; Riquelme, M. E. A.; da Silva, B. M.; Marchini, M.; Danieli, M. G.; Del Giacco, S.; Mathieu, A.; Pani, A.; Montgomery, S. B.; Rosati, G.; Hillert, J.; Sawcer, S.; D'Alfonso, S.; Todd, J. A.; Novembre, J.; Abecasis, G. R.; Whalen, M. B.; Marrosu, M. G.; Meloni, A.; Sanna, S.; Gorospe, M.; Schlessinger, D.; Fiorillo, E.; Zoledziewska, M.; Cucca, F.

SummaryThe complex network of specialized cells and molecules in the immune system has evolved to defend against pathogens, but inadvertent immune system attacks on “self” result in autoimmune disease. Both genetic regulation of immune cell levels and their relationships with autoimmunity are largely undetermined. Here, we report genetic contributions to quantitative levels of 95 cell types encompassing 272 immune traits, in a cohort of 1,629 individuals from four clustered Sardinian villages. We first estimated trait heritability, showing that it can be substantial, accounting for up to 87% of the variance (mean 41%). Next, by assessing ∼8.2 million variants that we identified and confirmed in an extended set of 2,870 individuals, 23 independent variants at 13 loci associated with at least one trait. Notably, variants at three loci (HLA, IL2RA, and SH2B3/ATXN2) overlap with known autoimmune disease associations. These results connect specific cellular phenotypes to specific genetic variants, helping to explicate their involvement in disease.

New 1-[(3-aryloxy-3-aryl)propyl]-1 H-imidazoles were synthesized and evaluated against Candida albicans and dermatophytes in order to develop structure-activity relationships (SARs). Against C. albicans the new imidazoles showed minimal inhibitory concentrations (MICs) comparable to those of ketoconazole, miconazole, and econazole, and were more potent than fluconazole. Several derivatives ( 10, 12, 14, 18- 20, 24, 28, 29, 30, and 34) turned out to be potent inhibitors of C. albicans strains resistant to fluconazole, with MIC values less than 10 microg/mL. Against dermatophytes strains, compounds 20, 25, and 33 (MICor= 5 microg/mL) were equipotent to ketoconazole, econazole, and miconazole. SARs of imidazoles 10- 44 were rationalized with reasonable accuracy by a previously developed quantitative pharmacophore for antifungal agents.

Mutations on the LMNA gene are responsible for an heterogeneous group of diseases. Overlapping syndromes related to LMNA gene alterations have been extensively reported. Study scope is to perform a systematic analysis of the overlapping syndromes so far described and to try to correlate the clinical features to the associated genetic alterations. We evaluated all the dominant overlapping syndromes reported by means of a PubMed search and by the analysis of the main databases containing the pathogenic LMNA gene variations and the associated diseases. Metabolic alterations in association to skeletal and/or cardiac alterations proved to be the most frequent overlap syndrome. Overlapping syndromes are mostly associated to inframe mutations in exons 1, 2, 8 and 9. These data further improve the understanding of the pathogenesis of laminopathies.

Summary The REACH (Registration, Evaluation, Authorization and restriction of Chemicals) and BPR (Biocidal Product Regulation) regulations strongly promote the use of non-animal testing techniques to evaluate chemical risk. This has renewed the interest towards alternative methods such as QSAR in the regulatory context. The assessment of bioconcentration factor (BCF) required by these regulations is expensive, in terms of costs, time, and laboratory animal sacrifices. Herein, we present QSAR models based on the ANTARES dataset, which is a large collection of known and verified experimental BCF data. Among the models developed, the best results were obtained from a nine-descriptor highly predictive model. This model was derived from a training set of 608 chemicals and challenged against a validation and blind set containing 152 and 76 chemicals, respectively. The model’s robustness was further controlled through several validation strategies and the implementation of a multi-step approach for the applicability domain. Suitable safety margins were used to increase sensitivity. The easy interpretability of the model is ensured by the use of meaningful biokinetics descriptors. The satisfactory predictive power for external compounds suggests that the new models could represent a reliable alternative to the in vivo assay, helping the registrants to fulfill regulatory requirements in compliance with the ethical and economic necessity to reduce animal testing.

Pim1 belongs to a family of serine/threonine kinases, which is involved in the control of cell growth, differentiation, and apoptosis. Pim1 plays a pivotal role in cytokine signaling and is implicated in the development of a large number of tumors, representing a very attractive target for anticancer therapy. In this work, we applied a virtual screening protocol aimed at identifying small molecules able to inhibit Pim1 activity. The search of novel inhibitors was performed through a structure-based molecular modeling approach, taking advantage of the availability of the three-dimensional crystal structure of inhibitors bound to Pim1. Starting from the knowledge of protein-ligand complexes, the software LigandScout was used to generate pharmacophoric models, in turn used as queries to perform a virtual screening of databases, followed by docking experiments. As a result, a restricted set of candidates for biological testing was identified. Finally, among the six compounds selected as potential inhibitors of Pim1, two candidates endowed with a significant activity against Pim1 emerged. Interestingly, one of these compounds has a chemical scaffold different from inhibitors previously identified.