Jacopo Troisi
University of Salerno
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Featured researches published by Jacopo Troisi.
BMC Medical Genomics | 2015
Bruna De Felice; Francesco Manfellotto; Annarita Palumbo; Jacopo Troisi; Fulvio Zullo; Costantino Di Carlo; Attilio Di Spiezio Sardo; Noè De Stefano; Umberto Ferbo; Marco Guida; Maurizio Guida
BackgroundBisphenol A (BPA) is an environmental compounds is known to possess endocrine disruption potentials. Bisphenol A has epigenetic effects as deregulated expression of microRNAs; such epigenetic marks can induce up/down alterations in gene expression that may persist throughout a lifetime. Bisphenol A (BPA) exposure has been documented in pregnant women, but consequences for development of offspring after BPA exposure during pregnancy are not yet widely studied. Therefore, the aim of this study was to gain a comprehensive understanding of microRNAs changes in the placenta transcriptome from pregnant women subjected to therapeutic abortion for fetal malformation and correlate the impact of gestational exposure to BPA on these developmental changes.MethodsWe performed a comparative analysis of genome wide miRNA expression in placentas from pregnant women exposed to BPA using microarray technology to identify miRNAs which were aberrantly expressed in placentas from malformed fetuses. The expression changes of differential expressed miRNAs in the samples used for microarray were confirmed by qPCR . Beside, we applied various bioinformatics tools to predict the target genes of the identified miR-146a and explore their biological function and downstream pathways.ResultsWe found that miR-146a was significant overexpressed and correlated significantly with BPA accumulation in the placenta from pregnant women living in a polluted area and undergoing therapeutic abortion due to fetal malformations. Beside, we applied various bioinformatics tools to predict the target genes of miR-146a and explore their biological function and downstream pathways.ConclusionsFor the first time, we found, in humans, that miR-146a was significant over-expressed and correlated significantly with BPA accumulation in the placenta. Our results lead to the suggestion that miRNAs could be potential biomarkers to clarify the mechanisms of environmental diseases.
Pediatric Obesity | 2017
S. Guercio Nuzio; M. Di Stasi; L. Pierri; Jacopo Troisi; Marco Poeta; A. Bisogno; F. Belmonte; M. Tripodi; D. Di Salvio; G. Massa; R. Savastano; Pierpaolo Cavallo; M. Boffardi; Doreen Ziegenhardt; Ina Bergheim; Claudia Mandato; Pietro Vajro
Gut–liver axis (GLA) dysfunction appears to play a role in obesity and obesity‐related hepatic complications.
Food Chemistry | 2011
Gian Carlo Tenore; Jacopo Troisi; Raffaele Di Fiore; Michele Manfra; Ettore Novellino
The polyphenolic composition, antioxidant properties and multielement profile of selected red wines from Morocco were evaluated. The polyphenolic contents resulted higher than those reported elsewhere for the same variety of wines; the highest quantity was found in Cabernet Sauvignon, followed by Merlot, and last by Syrah wine. All of the wines tested showed very similar anthocyanin and flavonol patterns: individual compound contents resulted generally higher in comparison to conventional wines. The content of trans-resveratrol was significantly higher than that of cis-resveratrol in all of the wine samples. Particularly, Merlot showed the highest concentration of trans-resveratrol while Syrah exhibited the highest levels of cis-resveratrol. Reducing capacity resulted higher than antiradical property for all of the wines. The metal concentrations were below the official limits. The elemental pattern of wines were very similar, excepted V, Mn, Fe, Cu, As and Mo, for which Syrah markedly differed from the other wine samples.
Mutation Research | 2015
Maurizio Guida; Jacopo Troisi; Carla Ciccone; Giovanni Granozio; Cosimo Cosimato; Attilio Di Spiezio Sardo; Cinzia Ferrara; Marco Guida; Carmine Nappi; Fulvio Zullo; Costantino Di Carlo
Over 50% of the causes of fetal malformations in humans are still unknown. Recent evidence suggests the relationship between environmental exposure to endocrine disruptors and fetal malformations. Our study aims to establish the role of Bisphenol A (BPA), if any, in altering human reproduction. We enrolled 151 pregnant women who were divided into two groups: case group (CS, n=101), women with established diagnosis of developmental defect, and control group (CL, n=50), pregnant women with normally developed fetus. Total, free and conjugated BPA were measured in their blood using GC-MS with isotopic dilution. The results show a correlation between environmental exposure to BPA and the genesis of fetal malformations. Conjugated BPA, which was higher in the CL, casts light on the hypothesis that a reduced ability to metabolize the chemical in the mother can concur to the occurrence of malformation. In a more detailed manner, in case of chromosomal malformations, the average value of free BPA appears to be nearly three times greater than that of the controls. Similarly, in case of central and peripheral nervous system non-chromosomal malformations, the value of free BPA is nearly two times greater than that of the controls.
Placenta | 2015
C. Mikelson; M.J. Kovach; Jacopo Troisi; Steven J. K. Symes; David Adair; Richard K. Miller; C. Salafia; Kevin A. Johnson; Zhi-Qing Lin; Sean M. Richards
INTRODUCTION Infants born below 2500 g are classified as low birth weight. Excess in utero exposure to cortisol has been linked to restricted fetal growth. Placental production of 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2) inactivates cortisol before passage into the fetus. The present study tested the hypothesis that placental 11β-HSD2 expression is positively correlated with an individualized birth weight centile and raw birth weight, and examines the relationship between metal concentrations in placental tissue and 11β-HSD2 expression. METHODS Placentae from 191 births were collected and samples preserved to maintain mRNA profile. Placental 11β-HSD2 expression was measured via qRT-PCR. Addition samples were collected from placental tissues and uniformly dried in order to quantify 18 metals via ICP-MS (n = 160). RESULTS A significant, positive correlation between 11β-HSD2 expression and individualized birth weight centile (p = 0.0321) and birth weight (p = 0.0243) was found. Additionally, maternal age and gestational age were positivity correlated with each other (p = 0.0321). Birth weight was significantly different with race, marital status, education and maternal tobacco use. Four metals (Co, Mn, Ni, Zn) demonstrated significant positive correlations (p < 0.05) with 11β-HSD2 expression. Sex specific differences were found; Co, Cu, Fe, Zn, and Ni were positively correlated with 11β-HSD2 expression in males only, no significant correlations were found in the female only sample. CONCLUSION These data indicate that the growth potential of a fetus is related to the 11β-HSD2 expression in the placenta, and that 11β-HSD2 expression is related to the trace metals status of the mother.
Nutrients | 2017
Jacopo Troisi; L. Pierri; Annamaria Landolfi; Francesca Marciano; Antonella Bisogno; Federica Belmonte; Carmen Palladino; Salvatore Guercio Nuzio; Pietro Campiglia; Pietro Vajro
To get insight into still elusive pathomechanisms of pediatric obesity and non-alcoholic fatty liver disease (NAFLD) we explored the interplay among GC-MS studied urinary metabolomic signature, gut liver axis (GLA) abnormalities, and food preferences (Kid-Med). Intestinal permeability (IP), small intestinal bacterial overgrowth (SIBO), and homeostatic model assessment-insulin resistance were investigated in forty children (mean age 9.8 years) categorized as normal weight (NW) or obese (body mass index <85th or >95th percentile, respectively) ± ultrasonographic bright liver and hypertransaminasemia (NAFLD). SIBO was increased in all obese children (p = 0.0022), IP preferentially in those with NAFLD (p = 0.0002). The partial least-square discriminant analysis of urinary metabolome correctly allocated children based on their obesity, NAFLD, visceral fat, pathological IP and SIBO. Compared to NW, obese children had (1) higher levels of glucose/1-methylhistidine, the latter more markedly in NAFLD patients; and (2) lower levels of xylitol, phenyl acetic acid and hydroquinone, the latter especially in children without NAFLD. The metabolic pathways of BCAA and/or their metabolites correlated with excess of visceral fat centimeters (leucine/oxo-valerate), and more deranged IP and SIBO (valine metabolites). Urinary metabolome analysis contributes to define a metabolic fingerprint of pediatric obesity and related NAFLD, by identifying metabolic pathways/metabolites reflecting typical obesity dietary habits and GLA perturbations.
Journal of the Science of Food and Agriculture | 2012
Gian Carlo Tenore; Jacopo Troisi; Raffaele Di Fiore; Adriana Basile; Ettore Novellino
BACKGROUND The present study is the first effort in a comprehensive evaluation of the nutritive and biological properties of the meal from Rapa Catozza Napoletana (RCN) (Brassica rapa L. var. rapa) cultivar seeds as a new and alternative source of proteins. RESULTS RCN seed meal revealed a good protein content (382.0 g kg(-1)) compared with conventional Brassica defatted meals. Total glucosinolates (6.0 g kg(-1)) were comparable to or even lower than those reported for other yellow- and brown-seeded cultivars. Low levels of both sinapine and phytic acid (10.0 and 10.0 g kg(-1) respectively) suggest a minor influence of these compounds on meal mineral availability. The meal revealed quite a high polyphenolic content (13.0 g kg(-1)) composed of flavonol and hydroxycinnamic derivatives. With regard to meal biological properties, a higher radical-scavenging potential than reducing capacity and a broad antimicrobial spectrum, mainly against food-borne pathogens, were detected. CONCLUSION RCN seed meal could be highly regarded as a component of human nutrition and animal feed for its good protein content, desirable amino acid profile and low antinutrient concentration. Results for the sample indicated appreciable antiradical activity and good properties for meal stability.
Journal of Proteome Research | 2018
Jacopo Troisi; Laura Sarno; Annamaria Landolfi; Giovanni Scala; Pasquale Martinelli; Roberta Venturella; Annalisa Di Cello; Fulvio Zullo; Maurizio Guida
Endometrial cancer (EC) is the most common cancer of the female reproductive tract in developed countries. At the moment, no effective screening system is available. Here, we evaluate the diagnostic performance of a serum metabolomic signature. Two enrollments were carried out, one consisting of 168 subjects: 88 with EC and 80 healthy women, was used for building the classification models. The second (used to establish the performance of the classification algorithm) was consisted of 120 subjects: 30 with EC, 30 with ovarian cancer, 10 with benign endometrial disease, and 50 healthy controls. Two ensemble models were built, one with all EC versus controls (Model I) and one in which EC patients were aggregated according to their histotype (Model II). Serum metabolomic analysis was conducted via gas chromatography-mass spectrometry, while classification was done by an ensemble learning machine. Accuracy ranged from 62% to 99% for the Model I and from 67% to 100% for the Model II. Ensemble model showed an accuracy of 100% both for Model I and II. The most important metabolites in class separation were lactic acid, progesterone, homocysteine, 3-hydroxybutyrate, linoleic acid, stearic acid, myristic acid, threonine, and valine. The serum metabolomics signature of endometrial cancer patients is peculiar because it differs from that of healthy controls and from that of benign endometrial disease and from other gynecological cancers (such as ovarian cancer).
Scientific Reports | 2018
Rosanna Chianese; Andrea Viggiano; Konrad Urbanek; Donato Cappetta; Jacopo Troisi; Marika Scafuro; Maurizio Guida; Grazia Esposito; Loreta Pia Ciuffreda; Francesco Rossi; Liberato Berrino; Silvia Fasano; Riccardo Pierantoni; Antonella De Angelis; Rosaria Meccariello
Spermatogenesis depends on endocrine, autocrine and paracrine communications along the hypothalamus-pituitary-gonad axis. Bisphenol A (BPA), an estrogen-mimic endocrine disrupting chemical, is an environmental contaminant used to manufacture polycarbonate plastics and epoxy resins with toxic effects for male reproduction. Here we investigated whether the chronic exposure to low BPA doses affects spermatogenesis through the modulation of SIRT1, a NAD+-dependent deacetylase involved in the progression of spermatogenesis, with outcomes on apoptosis, oxidative stress, metabolism and energy homeostasis. BPA exposure via placenta first, and lactation and drinking water later, affected the body weight gain in male offspring at 45 postnatal days and the first round of spermatogenesis, with impairment of blood testis barrier, reactive oxygen species production, DNA damage and decreased expression of SIRT1. The analysis of SIRT1 downstream molecular pathways revealed the increase of acetyl-p53Lys370, γH2AX foci, the decrease of oxidative stress defenses and the higher apoptotic rate in the testis of treated animals, with partial rescue at sex maturation. In conclusion, SIRT1 pathways disruption after BPA exposure can have serious consequences on the first round of spermatogenesis.
Metabolomics | 2017
Jacopo Troisi; Laura Sarno; Pasquale Martinelli; Costantino Di Carlo; Annamaria Landolfi; Giovanni Scala; Maurizio Rinaldi; Pietro D’Alessandro; Carla Ciccone; Maurizio Guida
IntroductionChromosomal anomalies (CA) are the most frequent fetal anomalies.ObjectiveTo evaluate the diagnostic performance of a machine learning ensemble model based on the maternal serum metabolomic fingerprint of fetal aneuploidies during the second trimester .MethodsThis is a case-control pilot study. Metabolomic profiles have been obtained on serum of 328 mothers (220 controls and 108 cases), using gas chromatography coupled to mass spectrometry. Eight machines learning and classification models were built and optimized. An ensemble model was built using a voting scheme. All samples were randomly divided into two sets. One was used as training set, the other one for diagnostic performance assessment.ResultsEnsemble machine learning model correctly classified all cases and controls. The accuracy was the same for trisomy 21 and 18; also, the other CA were correctly detected. Elaidic, stearic, linolenic, myristic, benzoic, citric and glyceric acid, mannose, 2-hydroxy butyrate, phenylalanine, proline, alanine and 3-methyl histidine were selected as the most relevant metabolites in class separation.ConclusionThe proposed model, based on the maternal serum metabolomic fingerprint of fetal aneuploidies during the second trimester, correctly identifies all the cases of chromosomal abnormalities. Overall, this preliminary analysis appeared suggestive of a metabolic environment conductive to increased oxidative stress and a disturbance in the fetal central nervous system development. Maternal serum metabolomics can be a promising tool in the screening of chromosomal defects. Moreover, metabolomics allows to extend our knowledge about biochemical alterations caused by aneuploidies and responsible for the observed phenotypes.