Listening to the Data: Computational Approaches to Addiction and Learning.

Computational approaches hold great promise for identifying novel treatment targets and creating translational therapeutics for substance use disorders. From circuitries underlying decision-making to computationally derived neural markers of drug-cue reactivity, this review is a summary of the approaches to data presented at our 2023 Society for Neuroscience Mini-Symposium. Here, we highlight data- and hypothesis-driven computational approaches that recently afforded advancements in addiction and learning neuroscience. First, we discuss the value of hypothesis-driven algorithmic modeling approaches, which integrate behavioral, neural, and cognitive outputs to refine hypothesis testing. Then, we review the advantages of data-driven dimensionality reduction and machine learning methods for uncovering novel predictor variables and elucidating relationships in high-dimensional data. Overall, this review highlights recent breakthroughs in cognitive mapping, model-based analysis of behavior/risky decision-making, patterns of drug taking, relapse, and neuromarker discovery, and showcases the benefits of novel modeling techniques, across both preclinical and clinical data.

Dyslipidemia and Cardiovascular Prevention in the Elderly: A Balance between Benefits and Risks of Statin Treatment in a Specific Population.

INTRODUCTION: Atherosclerotic Cardiovascular Diseases (CVD) are among the most relevant causes of morbidity and mortality worldwide, especially in aged people. Statins are one of the leading pharmacological interventions against atherosclerosis and are widely used to reduce the risk of occurring coronary artery diseases and related outcomes in both primary and secondary prevention. The management of chronic diseases is improved considerably over time, leading to an increase in life expectancy despite heavier comorbidity-related burdens in the elderly. AIMS: The paper focused on the role of statins in the management of atherosclerosis and related burdens in elderly patients. RESULTS: Statins are essential in reducing the risk of CVD in secondary and primary prevention, particularly in high-risk individuals. Guidelines encourage using specific algorithms with age-specific cutoffs to assess individual cardiovascular risk irrespective of baseline age, as the expansion of life expectancy produces favorable effects of statin treatment in those over 70. DISCUSSION: Besides the estimation of baseline CV risk, a specific age-related assessment is also necessary before prescribing statin treatment in aged people focusing on frailty, potential pharmacological interactions due to polypharmacotherapy, cognitive impairment, and background chronic comorbidities, such as diabetes mellitus. Before starting statin therapy, an accurate choice of type and dose of statins is needed as potential adverse events are more prevalent with high-dose than low-to-moderatedose regimens and with lipophile than hydrophile statins (e.g., potential implication on intra-cerebral cholesterol metabolism). CONCLUSION: Despite possible adverse events, elderly patients should receive statins, when appropriate, to avoid the first occurrence of recurrent cardiovascular events and related burdens.

Compatibilization of Polylactide/Poly(ethylene 2,5-furanoate) (PLA/PEF) Blends for Sustainable and Bioderived Packaging.

Despite the advantages of polylactide (PLA), its inadequate UV-shielding and gas-barrier properties undermine its wide application as a flexible packaging film for perishable items. These issues are addressed in this work by investigating the properties of melt-mixed, fully bioderived blends of polylactide (PLA) and poly(ethylene furanoate) (PEF), as a function of the PEF weight fraction (1-30 wt %) and the amount of the commercial compatibilizer/chain extender Joncryl ADR 4468 (J, 0.25-1 phr). J mitigates the immiscibility of the two polymer phases by decreasing and homogenizing the PEF domain size; for the blend containing 10 wt % of PEF, the PEF domain size drops from 0.67 ± 0.46 µm of the uncompatibilized blend to 0.26 ± 0.14 with 1 phr of J. Moreover, the increase in the complex viscosity of PLA and PLA/PEF blends with the J content evidences the effectiveness of J as a chain extender. This dual positive contribution of J is reflected in the mechanical properties of PLA/PEF blends. Whereas the uncompatibilized blend with 10 wt % of PEF shows lower mechanical performance than neat PLA, all the compatibilized blends show higher tensile strength and strain at break, while retaining their high elastic moduli. The effects of PEF on the UV- and oxygen-barrier properties of PLA are also remarkable. Adding only 1 wt % of PEF makes the blend an excellent barrier for UV rays, with the transmittance at 320 nm dropping from 52.8% of neat PLA to 0.4% of the sample with 1 wt % PEF, while keeping good transparency in the visible region. PEF is also responsible for a sensible decrease in the oxygen transmission rate, which decreases from 189 cc/m2·day for neat PLA to 144 cc/m2·day with only 1 wt % of PEF. This work emphasizes the synergistic effects of PEF and J in enhancing the thermal, mechanical, UV-shielding, and gas-barrier properties of PLA, which results in bioderived blends that are very promising for packaging applications.