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In vitro and in vivo studies of Cucurbita pepo L. flowers: chemical profile and bioactivity

Valeria M. Morittu, Nadia Musco, Vincenzo Mastellone, Marco Bonesi, Domenico Britti, Federico Infascelli, Monica R. Loizzo, Rosa Tundis, Vincenzo Sicari, Raffaella Tudisco, Pietro Lombardi
2019 Figshare  
Edible flowers consumption has increased in recent years due to their rich content of healthy phytochemicals. The aim of this study was to analyse the chemical profile of Cucurbita pepo L. flowers, and to explore their antioxidant and hypoglycaemic properties. Moreover, in order to assess in vivo effects, biochemical analysis, Reactive Oxygen Metabolites (d-ROMs) and Biological Antioxidant Potential (BAP) tests were performed on mice serum. High Performance Liquid Chromatography-Diode Array
more » ... phy-Diode Array Detection (HPLC-DAD) analyses revealed the presence of (+)-catechin, (−)-epicatechin, rutin, and syringic acid as main constituents. 2,2′-Azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) and Ferric Reducing Antioxidant Power (FRAP) tests showed interesting results. The extract exhibited the strongest inhibitory effect on α-glucosidase (IC50 of 144.77 μg/mL). In vivo results confirmed the hypoglycaemic effects, also affecting lipid metabolism but did not revealed benefits on ROS production. These results may add some information supporting the use of C. pepo flowers as functional foods and/or nutraceuticals.
doi:10.6084/m9.figshare.9918641.v1 fatcat:gzeerhesm5ewnbea2zd4bnisqi

Mutation-Based Graph Inference for Fault Localization

Vincenzo Musco, Martin Monperrus, Philippe Preux
2016 2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM)  
We present a new fault localization algorithm, called Vautrin, built on an approximation of causality based on call graphs. The approximation of causality is done using software mutants. The key idea is that if a mutant is killed by a test, certain call graph edges within a path between the mutation point and the failing test are likely causal. We evaluate our approach on the fault localization benchmark by Steimann et al. totaling 5,836 faults. The causal graphs are extracted from 88,732 nodes
more » ... d from 88,732 nodes connected by 119,531 edges. Vautrin improves the fault localization effectiveness for all subjects of the benchmark. Considering the wasted effort at the method level, a classical fault localization evaluation metric, the improvement ranges from 3% to 55%, with an average improvement of 14%.
doi:10.1109/scam.2016.24 dblp:conf/scam/MuscoMP16 fatcat:xmdygv3psbee7dp2vajecsxneu

Mirrors Improve Rabbit Natural Behavior in a Free-Range Breeding System

Vincenzo Mastellone, Fulvia Bovera, Nadia Musco, Valentina Panettieri, Giovanni Piccolo, Anna Scandurra, Carmelo Di Meo, Youssef A. Attia, Pietro Lombardi
2019 Animals  
The aim of this research was to evaluate the possible usefulness of mirrors in improving rabbit behavior in a free-range breeding system. Three groups (each consisting of nine replicates of three animals) were compared: isolated, isolated with mirrors and separated by a wire mesh (possible visual and olfactory contacts). Rabbits allowed to have a visual and olfactory contact showed a significantly higher expression of important natural behaviors (olfactory investigation, gnawing, alertness,
more » ... ing, alertness, stretching, locomotion) compared to the isolated rabbits (with or without mirrors); while rabbits in the mirror group showed higher allo-grooming activity than those isolated and no different locomotion activity than those separated by wire mesh. Thus, mirrors seemed to be able to modify the behavioral repertoire of isolated rabbits by acting on social perception in rabbits reared in small groups in a free-range system. Nevertheless, despite it being advisable to use a combination of different indicators in order to assess the stress level of an animal, the accuracy of serum cortisol, as well as of some secondary stress markers assay, appeared to be limited in this type of breeding.
doi:10.3390/ani9080533 pmid:31390755 pmcid:PMC6721221 fatcat:plnbngndsfdwlpezj7prdw6s7q

Management of sexual dysfunction due to central nervous system disorders: a systematic review

Giuseppe Lombardi, Stefania Musco, Thomas M. Kessler, Vincenzo Li Marzi, Michele Lanciotti, Giulio Del Popolo
2015 BJU International  
Objective To systematically review the management of sexual dysfunction due to central nervous system (CNS) disorders. Patients and Methods The review was done according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Studies were identified independently by two reviewers using electronic searches of MEDLINE and OVID (from January 2004 to August 2014) and hand searches of reference lists and review articles. Results In patients with CNS disorders,
more » ... th CNS disorders, neuro-urological assessment is recommended for both genders before starting any treatment for sexual dysfunction. For men, blood sexual hormones evaluation is the main investigation performed before phosphodiesterase type 5 inhibitors (PDE5Is) treatment, whereas there is no consensus on routine laboratory tests for women. PDE5Is are the first-line medical treatment for men, with the most robust data derived from patients with spinal cord injury assessed by validated questionnaires, mainly the International Index of Erectile Function-15. There is no effective medical treatment for sexual dysfunction in women. Sacral neuromodulation for lower urinary tract dysfunction may improve sexual dysfunction in both genders. Conclusions Although sexual dysfunction is a major burden for patients with CNS disorders, high-evidence level studies are rare and only available for PDE5Is treating erectile dysfunction. Well-designed prospective studies are urgently needed for both genders. Keywords neurogenic sexual dysfunction, neurogenic erectile dysfunction, phosphodiesterase type 5 inhibitors
doi:10.1111/bju.13055 pmid:25599613 fatcat:p34ibvrxdjapzfzrdrdxtylso4

An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis

Vincenzo Musco, Martin Monperrus, Philippe Preux
2015 2015 IEEE/ACM 10th International Workshop on Automation of Software Test  
In software engineering, error impact analysis consists in predicting the software elements (e.g. modules, classes, methods) potentially impacted by a change. Impact analysis is required to optimize the testing effort. In this paper we present a new protocol to analyze the accuracy of impact analysis. This protocol uses mutation testing to simulate changes that introduce errors. To this end, we introduce a variant of call graphs we name the "use graph" of a software which may be computed
more » ... be computed efficiently. We apply this protocol to two open-source projects and correctly predict the impact of 30% to 49% of changes.
doi:10.1109/ast.2015.20 dblp:conf/icse/MuscoMP15 fatcat:as5h5vhl6rcqnhshstd77uznxy

Influence of Feeding Linseed on SCD Activity in Grazing Goat Mammary Glands

Raffaella Tudisco, Biagina Chiofalo, Vittorio Lo Presti, Valeria Maria Morittu, Giuseppe Moniello, Micaela Grossi, Nadia Musco, Raffaella Grazioli, Vincenzo Mastellone, Pietro Lombardi, Federico Infascelli
2019 Animals  
The effects of linseed feeding on the stearoyl-CoA desaturase (SCD) activity were evaluated on grazing dairy goats divided into two homogeneous groups (C, control, and L, treated) fed the same amount of concentrate which, for group L was supplemented with linseed. Milk yield was unaffected by the treatment. Group L showed significantly higher milk fat (4.10% vs 2.94%, p < 0.01) than group S. Within milk fatty acids, group C showed significantly higher levels of saturated fatty acids and lower
more » ... y acids and lower values of mono-unsaturated and polyunsaturated fatty acids. In group L, total CLAs were higher than in group S (0.646% vs 0.311%; p < 0.01) mainly because of the differences in CLA cis9 trans 11 (0.623% vs 0.304%; p < 0.01). In treated animals, SCD activity, measured as cis9 C14:1/C14:0, was lower than in the control group, mainly in July and August.
doi:10.3390/ani9100786 pmid:31614628 pmcid:PMC6826481 fatcat:aizjo7ckljcdhofdkvpuitmafm

Effects of a nutritional supplement in dogs affected by osteoarthritis

Nadia Musco, Giuseppe Vassalotti, Vincenzo Mastellone, Laura Cortese, Giorgia della Rocca, Maria Luce Molinari, Serena Calabrò, Raffaella Tudisco, Monica Isabella Cutrignelli, Pietro Lombardi
2019 Veterinary Medicine and Science  
Nadia Musco, Giuseppe Vassalotti, Raffaella Tudisco and Vincenzo Mastellone performed the experiments. Serena Calabrò and Nadia Musco analysed the data.  ... 
doi:10.1002/vms3.182 pmid:31313893 pmcid:PMC6682793 fatcat:h5ycmtad2nb4lg22cwbzvae6vq

Anthropogenic impact is negatively related to coral health in Sicily (Mediterranean Sea)

Fiorella Prada, Luigi Musco, Adriana Alagna, Davide Agnetta, Eleonora Beccari, Giovanni D'Anna, Vincenzo Maximiliano Giacalone, Carlo Pipitone, Tomás Vega Fernández, Stefano Goffredo, Fabio Badalamenti
2019 Scientific Reports  
Shallow-water marine organisms are among the first to suffer from combined effects of natural and anthropogenic drivers. The orange coral Astroides calycularis is a shallow-water bioconstructor species endemic to the Mediterranean Sea. Although raising conservation interest, also given its special position within the Dendrophylliidae, information about the threats to its health is scant. We investigated the health status of A. calycularis at five locations in northwestern Sicily along a
more » ... ily along a gradient of cumulative human impact and the most probable origin of the threats to this species, including anthropogenic land-based and sea-based threats. Cumulative human impact appeared inversely related to the performance of A. calycularis at population, colony, and polyp levels. Sea-based human impacts appeared among the most likely causes of the variation observed. The reduction in polyp length can limit the reproductive performance of A. calycularis, while the decrease of percent cover and colony area is expected to impair its peculiar feeding behaviour by limiting the exploitable dimensional range of prey and, ultimately, reef functioning. This endangered habitat-forming species appeared susceptible to anthropogenic pressures, suggesting the need to re-assess its vulnerability status. Creating microprotected areas with specific restrictions to sea-based human impacts could be the best practice preserve these bioconstructions.
doi:10.1038/s41598-019-49713-w pmid:31530904 pmcid:PMC6748980 fatcat:qeeknar7ezcn7k4gyu6dwrq56i

A large-scale study of call graph-based impact prediction using mutation testing

Vincenzo Musco, Martin Monperrus, Philippe Preux
2016 Software quality journal  
In software engineering, impact analysis involves predicting the software elements (e.g., modules, classes, methods) potentially impacted by a change in the source code. Impact analysis is required to optimize the testing effort. In this paper, we propose an evaluation technique to predict impact propagation. Based on 10 open-source Java projects and 5 classical mutation operators, we create 17,000 mutants and study how the error they introduce propagates. This evaluation technique enables us
more » ... hnique enables us to analyze impact prediction based on four types of call graph. Our results show that graph sophistication increases the completeness of impact prediction. However, and surprisingly to us, the most basic call graph gives the best trade-off between precision and recall for impact prediction.
doi:10.1007/s11219-016-9332-8 fatcat:a7rqhdjxjfgejknuof6p67uvxm

Influence of Pasture on Stearoyl-CoA Desaturase and miRNA 103 Expression in Goat Milk: Preliminary Results

Raffaella Tudisco, Valeria Maria Morittu, Laura Addi, Giuseppe Moniello, Micaela Grossi, Nadia Musco, Raffaella Grazioli, Vincenzo Mastellone, Maria Elena Pero, Pietro Lombardi, Federico Infascelli
2019 Animals  
The effect of pasture on the stearoyl-CoA desaturase (SCD) and miRNA 103 expression was evaluated on dairy goats divided into two homogeneous groups (G, grazing, and S, stable). Group S was housed in a stall and received alfalfa hay as forage, while group G was led to pasture. The goats of both the groups received the same amount of concentrate. Milk yield did not differ statistically between the groups. Group G showed significantly higher fat (4.10% vs. 2.94%, p < 0.01) and protein percentage
more » ... protein percentage (3.43% vs. 3.25%; p < 0.05) than group S. Among milk fatty acids, group S showed significantly higher levels of saturated fatty acids (SFA) and lower values of mono-unsaturated fatty acid (MUFA). The percentages of polyunsaturated fatty acid (PUFA) were not different between groups even if pasture significantly affected the percentages of C18:3 and total omega 3. In group G, total CLAs were twice than in group S (0.646% vs. 0.311%; p < 0.01) mainly due to the differences in CLA cis9 trans 11 (0.623% vs. 0.304%; p < 0.01). Milk total CLA in grazing group was significantly (p < 0.01) higher in August according to the highest value of both linoleic and α-linolenic acids in the pasture. In grazing animals, SCD expression decreased from April to June, increased in July and decreased again in August, while it was almost unvaried along the trial in group S. By contrast, the expression of miRNA 103 showed a similar trend for both groups, decreasing from April to June, increasing in July and falling down in August. To our knowledge, this is the first observation of the effects of pasture on miRNA expression in milk from ruminant species.
doi:10.3390/ani9090606 pmid:31454947 pmcid:PMC6770639 fatcat:33xwrk3eeneshekirltk3p2s6a

A Generative Model of Software Dependency Graphs to Better Understand Software Evolution [article]

Vincenzo Musco and Martin Monperrus and Philippe Preux
2017 arXiv   pre-print
Software systems are composed of many interacting elements. A natural way to abstract over software systems is to model them as graphs. In this paper we consider software dependency graphs of object-oriented software and we study one topological property: the degree distribution. Based on the analysis of ten software systems written in Java, we show that there exists completely different systems that have the same degree distribution. Then, we propose a generative model of software dependency
more » ... ftware dependency graphs which synthesizes graphs whose degree distribution is close to the empirical ones observed in real software systems. This model gives us novel insights on the potential fundamental rules of software evolution.
arXiv:1410.7921v3 fatcat:yax3ulvejjalzmmkcntzodnfry

Substrate preference and settlement behaviour of the megalopa of the invasive crab Percnon gibbesi (Decapoda, Percnidae) in the Mediterranean Sea

Arturo Zenone, Fabio Badalamenti, Vincenzo M. Giacalone, Luigi Musco, Carlo Pipitone, Tomás Vega Fernández, Giovanni D'Anna
2016 Helgoland Marine Research  
The transition from a planktonic to a benthic life is a critical phase in which sub-adults are particularly exposed to the risk of predation and dispersion into unsuitable habitats, and plays a crucial role in the distribution, structure and dynamics of marine populations. Settlement involves the selection of an adequate substrate that provides shelter and food during early life stages. Percnon gibbesi is an alien brachyuran crab that has invaded the Mediterranean, where it is preferentially
more » ... s preferentially associated to boulders covered with shallow algal turf. The mechanisms of substrate selection leading to the settlement of megalopae are still unknown in P. gibbesi, yet their knowledge may shed light on its high invasiveness. We examined the substrate preference and settlement behaviour of 36 megalopae of P. gibbesi using three natural substrates in an experimental mesocosm: gravel, cobbles and flat stones. Video recordings of 30-min trials were used to assess the substrate preference, measure the time to selection and observe the behaviour of the megalopae. Strong preference was given to hard and stable substrates i.e., cobbles and flat stones with interstices where to hide, which are also the most suitable as they provide shelter and food. Direct selection was the dominant behaviour followed by exploration and lastly by hesitation. The megalopae selected quickly the most suitable substrate to settle, likely enhancing their chances of survival. Our findings suggest that rapid settlement on a suitable substrate contributes to the success of the biological invasion of P. gibbesi along the Mediterranean coasts.
doi:10.1186/s10152-016-0472-9 fatcat:3wk32vcjhzbfhcoqecqsl5dt74

Potential beneficial and/or adverse effects of Capsicum annuum L. (cv. Fiesta) at two stage of ripening in CD-1 mice

Valeria Maria Morittu, Maria Elena Pero, Nadia Musco, Vincenzo Mastellone, Raffaella Tudisco, Eugenio Provenzano, Domenico Britti, Francesco Menichini, Federico Infascelli, Pietro Lombardi
2018 Figshare  
Aim of the present study was to evaluate the potential beneficial and/or adverse effects of Capsicum annuum L. (cv. Fiesta) extracts at two stage of ripening (immature and mature), and at two dosages (low and high) by evaluation of biochemical profile and oxidative status in CD-1 mice. The extracts were daily administered to mice by oral gavage for 20 days. At the end of the trial, the animals were euthanatized and blood was collected. Evidence of liver damage (increase of AST, ALT and
more » ... T, ALT and bilirubin) in the group receiving the higher dosage of immature peppers extract were observed. Even if no adverse effects were seen at the lower doses, also no signs of beneficial effects in term of health status, biochemical profile and oxidative status were detected. These results are in contrast with in vitro findings and raise doubts about the possible use of Capsicum annuum L. (cv. Fiesta) as a nutritional supplement.
doi:10.6084/m9.figshare.7379318 fatcat:vjami6gr4jdsdmywugleyspvqu

A learning algorithm for change impact prediction

Vincenzo Musco, Antonin Carette, Martin Monperrus, Philippe Preux
2016 Proceedings of the 5th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering - RAISE '16  
Change impact analysis consists in predicting the impact of a code change in a software application. In this paper, we take a learning perspective on change impact analysis and consider the problem formulated as follows. The artifacts that are considered are methods of object-oriented software, the change under study is a change in the code of the method, the impact is the test methods that fail because of the change that has been performed. We propose an algorithm, called LCIP that learns from
more » ... IP that learns from past impacts to predict future impacts. To evaluate our system, we consider 7 Java software applications totaling 214,000+ lines of code. We simulate 17574 changes and their actual impact through code mutations, as done in mutation testing. We find that LCIP can predict the impact with a precision of 69%, a recall of 79%, corresponding to a F-Score of 55%.
doi:10.1145/2896995.2896996 dblp:conf/icse/MuscoCMP16 fatcat:qovrrwjxfrhppcjxw5umalfllu

Influence of dietary hydrogenated palm oil supplementation on serum biochemistry and progesterone levels in dairy goats

Raffaella Tudisco, Nadia Musco, Maria E. Pero, Valeria M. Morittu, Micaela Grossi, Vincenzo Mastellone, Gina Cavaliere, Metha Wanapat, Federico Infascelli, Pietro Lombardi
2019 Animal Nutrition  
The aim of this research was to investigate the influence of hydrogenated palm oil (HPO) added to a dairy goat diet on serum biochemistry and progesterone levels. Thirty pregnant Cilentana dairy goats were equally divided into 2 groups (control [CTR] and HPO groups). After kidding, concentrated feed for both groups was gradually increased up to 400 g/(animal·d), and the HPO group received 50 g/(animal·d) of HPO. Supplementation with HPO significantly increased cholesterol levels (mg/dL, 63.80
more » ... els (mg/dL, 63.80 vs. 54.68 at 30 d, P ≤ 0.05; 78.20 vs. 58.00 at 60 d, P ≤ 0.05; 83.80 vs. 57.83 at 120 d, P ≤ 0.01) compared with the CTR group although no significant differences were detected for liver and kidney function indicators. Moreover, other biochemical parameters were not affected by HPO supplementation thus suggesting no change occurred in lipid and protein metabolism. Furthermore, a significant correlation was found between progesterone levels and serum cholesterol (r = 0.65, P ≤ 0.01) although these were not significantly higher in HPO supplemented goats. The dose and time of HPO supplementation appears critical as regards assessing the limits between the risks and benefits of HPO supplementation in dairy goats. At the tested dose, HPO was well tolerated by the animals and may represent a useful tool to increase energy availability during highly demanding periods.
doi:10.1016/j.aninu.2019.03.005 pmid:31528731 pmcid:PMC6737491 fatcat:mwdx3x2q2fadve3n72ibse5hfy
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