46 research outputs found

    In vivo and Post-synthesis Strategies to Enhance the Properties of PHB-Based Materials: A Review

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    The transition toward “green” alternatives to petroleum-based plastics is driven by the need for “drop-in” replacement materials able to combine characteristics of existing plastics with biodegradability and renewability features. Promising alternatives are the polyhydroxyalkanoates (PHAs), microbial biodegradable polyesters produced by a wide range of microorganisms as carbon, energy, and redox storage material, displaying properties very close to fossil-fuel-derived polyolefins. Among PHAs, polyhydroxybutyrate (PHB) is by far the most well-studied polymer. PHB is a thermoplastic polyester, with very narrow processability window, due to very low resistance to thermal degradation. Since the melting temperature of PHB is around 170–180°C, the processing temperature should be at least 180–190°C. The thermal degradation of PHB at these temperatures proceeds very quickly, causing a rapid decrease in its molecular weight. Moreover, due to its high crystallinity, PHB is stiff and brittle resulting in very poor mechanical properties with low extension at break, which limits its range of application. A further limit to the effective exploitation of these polymers is related to their production costs, which is mostly affected by the costs of the starting feedstocks. Since the first identification of PHB, researchers have faced these issues, and several strategies to improve the processability and reduce brittleness of this polymer have been developed. These approaches range from the in vivo synthesis of PHA copolymers, to the enhancement of post-synthesis PHB-based material performances, thus the addition of additives and plasticizers, acting on the crystallization process as well as on polymer glass transition temperature. In addition, reactive polymer blending with other bio-based polymers represents a versatile approach to modulate polymer properties while preserving its biodegradability. This review examines the state of the art of PHA processing, shedding light on the green and cost-effective tailored strategies aimed at modulating and optimizing polymer performances. Pioneering examples in this field will be examined, and prospects and challenges for their exploitation will be presented. Furthermore, since the establishment of a PHA-based industry passes through the designing of cost-competitive production processes, this review will inspect reported examples assessing this economic aspect, examining the most recent progresses toward process sustainability

    The application of artificial intelligence to understand the pathophysiological basis of psychogenic nonepileptic seizures

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    Abstract Psychogenic nonepileptic seizures (PNES) are episodes of paroxysmal impairment associated with a range of motor, sensory, and mental manifestations, which perfectly mimic epileptic seizures. Several patterns of neural abnormalities have been described without identifying a definite neurobiological substrate. In this multicenter cross-sectional study, we applied a multivariate classification algorithm on morphological brain imaging metrics to extract reliable biomarkers useful to distinguish patients from controls at an individual level. Twenty-three patients with PNES and 21 demographically matched healthy controls (HC) underwent an extensive neuropsychiatric/neuropsychological and neuroimaging assessment. One hundred and fifty morphological brain metrics were used for training a random forest (RF) machine-learning (ML) algorithm. A typical complex psychopathological construct was observed in PNES. Similarly, univariate neuroimaging analysis revealed widespread neuroanatomical changes affecting patients with PNES. Machine-learning approach, after feature selection, was able to perform an individual classification of PNES from controls with a mean accuracy of 74.5%, revealing that brain regions influencing classification accuracy were mainly localized within the limbic (posterior cingulate and insula) and motor inhibition systems (the right inferior frontal cortex (IFC)). This study provides Class II evidence that the considerable clinical and neurobiological heterogeneity observed in individuals with PNES might be overcome by ML algorithms trained on surface-based magnetic resonance imaging (MRI) data

    The relationship between maternal-fetus attachment and perceived parental bonds in pregnant women: Considering a possible mediating role of psychological distress

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    Maternal-Fetal Attachment (MFA) delineates the emotional, cognitive, and behavioral aspects that mothers develop toward the unborn baby during pregnancy. The literature indicates that optimal attachment in pregnancy represents a protective factor for the mother-child attachment bond after birth and child development outcomes. To date, there are few studies that have investigated associated factors of MFA. This study sets out to explore the association between perceived parental bonds and maternal-fetal bonding in pregnant women, accounting for factors such as psychological distress, socio-demographic and obstetric characteristics.MethodsIn this cross-sectional study, 1,177 pregnant women answered the Parental Bonding Instrument, the Maternal-Fetal Attachment Scale, State-Trait Anxiety Inventory (STAI-Y), and Beck-Depression Inventory (BDI-II).ResultsWe found out that perceived maternal and paternal care had significant direct effects on maternal-infant bonding during the pregnancy period when controlling for some confounders, including gestational age and mother age among others. Such maternal and paternal perceived care effects were not mediated by levels of psychological distress, which in turn resulted to be a “borderline” significant predictor of prenatal attachment. Interestingly, the gestational age and the mother age emerged to have a significant and synergic nonlinear effect, suggesting the influence on the MFAS of the gestational age depends on the values of the mother age, and likewise, the effect of mother age on MFAS depends on the gestational week.ConclusionThis study expands our knowledge of the intergenerational transmission of attachment pointing out the effects of a woman’s perceived bond in relation to her parental figures during the development of the prenatal attachment process. Findings also suggests that parenting support interventions may have benefits that are realized across generations

    Prednisone vs high-dose dexamethasone in newly diagnosed adult primary immune thrombocytopenia: a randomized trial

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    A debate exists regarding which type of corticosteroids (standard-dose prednisone [PDN] or high-dose dexamethasone [HD-DXM]) is the best first-line treatment for adult patients with newly diagnosed untreated primary immune thrombocytopenia (pITP). An ad hoc study compared PDN with HD-DXM in newly diagnosed untreated patients with pITP (aged >= 18 but <= 80 years, platelet count of <= 20 or >20 but <50 x 10(9)/L, and bleeding score of >= 8). Patients were randomised to receive PDN 1 mg/kg per day from days 0 to 28 (Arm A) or HD-DXM 40 mg per day for 4 days, every 14 days, for 3 consecutive courses (Arm B). Fifty-nine of 113 patients (52.2%) were randomized to Arm A and 54 of 113 (47.8%) to Arm B. In evaluable patients, total initial responses (complete response [CR], partial response [PR], minimal response [MR]) were 44 of 56 (78.57%) in Arm A and 46 of 49 (93.88%) in Arm B at days 42 and 46, respectively (P = 0.0284). Total final responses (at day 180 from initial response) were 26 of 43 (60.47%) in Arm A and 23 of 39 (58.97%) in Arm B (P = 0.8907). Total persistent responses (at 12 months from initial response) were 25 of 31 (80.65%) in Arm A and 20 of 36 (55.56%) in Arm B (P = 0.0292). Seven relapses occurred. Median follow-up was 44.4 months. Overall survival was 100% at 48 months, overall disease-free survival was 81.11% at 48 months from day 180. PDN and pulsed HD-DXM were well tolerated; HD-DXM allows effective initial responses but less long lasting than PDN. This trial was registered at www.clinicaltrials.gov as #NCT00657410

    Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

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    The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

    Shedding light on the interaction between TMPyP4 and human telomeric quadruplexes

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    The nature of the binding mode and stoichiometry of the TMPyP4 cationic porphyrin to G-quadruplex structures continues to be controversial, with no consensus model to date, especially for intramolecular G-quadruplexes from human telomeric sequences. Those sequences possess intricate polymorphism in solution that appears to be reduced under molecular crowding conditions in which the parallel structure appears to be the most populated one. We have performed a systematic study, in dilute solution and under molecular crowding conditions, of the binding reactions between TMPyP4 and four G-quadruplexes formed by different truncations of human telomeric DNA, with 5'- or 3'-flanking bases, using isothermal titration calorimetry and circular dichroism. The results clearly indicate that all of these G-quadruplexes are able to bind up to four TMPyP4 molecules. CD studies show that interaction with TMPyP4 promotes the conversion of the hybrid structures to an antiparallel conformation in dilute solution, while under molecular crowding conditions the interaction does not promote any conformational change. ITC reveals in both cases that the binding process comprises two sequential events, a first in which one molecule of TMPyP4 interacts with the quadruplex structures and a second in which three other molecules bind to the structures. The selectivity of TMPyP4 for the quadruplex relative to duplex DNA was also investigated under molecular crowding conditions showing that TMPyP4 has enhanced selectivity for quadruplex DNA compared to the duplex structure. This finding reinforces the potential applications of TMPyP4

    Supercritical antisolvent process to produce cerium oxide nanoparticles as a support for high-activity platinum catalysts

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    Cerium acetylacetonate (Ce(acac)3) was precipitated from methanol (MeOH) using supercritical antisolvent process (SAS). The precursor was, then, calcined obtaining the cerium oxide (CeO2). Platinum (Pt) supported on cerium oxide is active for the water gas shift reaction, showing higher activity if compared with platinum supported on other oxides. The catalyst based on platinum supported on cerium oxide obtained using SAS process is more active than the Pt/CeO2 catalyst obtained in a conventional manner. The precursor nanoparticles were precipitated at different pressures and concentrations of the Ce(acac)3/MeOH solution. At the best operating conditions, nanoparticles with a diameter in the range 40-65 nm were obtained. The catalytic activity and the selectivity of two different samples was studied and compared. The catalysts were characterized by X-ray diffraction, field emission scanning electron microscopy, infrared spectroscopy, nitrogen adsorption and desorption at 77 K, and mercury porosimetry
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