Natural Products for Neurocognitive Disorders

ABSTRACT Neurocognitive disorders are devastating. In 2016, 43.8 million people were estimated to have Alzheimer's disease worldwide. By 2050, this figure is expected to rise by 56%. Despite the extreme importance of the disease, the weapons available to us to combat it are very scarce. Natural substances may be a worthwhile option for the treatment and management of neurocognitive disorders. Some of these natural products have been shown to be capable of positively impacting memory, behavior, and functions of patients with Alzheimer's disease. These substances act on the disease mainly through antioxidant properties, the ability to eliminate oxygen radicals, the capacity to influence cell survival and programmed cell death, and the potential to condition amyloidogenesis. This chapter provides an overview of our current knowledge on the potential of natural products to be effective neuroprotective agents for Alzheimer's disease. Current evidence on Ginkgo biloba, bacopia, resveratol, curcumin, quercetin, kaempferol, capsaicin, and berberine, along with their adverse effects and drug interactions are discussed

Pulmonary embolism post-Covid-19 infection. Physiopathological mechanisms and vascular damage biomarkers

Covid-19 infection is characterized by several acute complications, as well long-term sequelae, mostly sustained by endothelial dysfunction; several studies show that complications as pulmonary embolism (PE) are described both in the acute phase and after negativization. Aim of research was to evaluate anthropometric, bio-humoral, instrumental parameters in a group of patients affected by PE after recent Covid-19 infection compared to PE patients without previous Covid-19 infection. We enrolled 72 consecutive patients (35M, 37F) with acute PE, distinguished in relation to previous acute Covid-19 infection: 54 pts without previous acute Covid-19 infection and 18 pts with previous Covid-19 infection within negativity at least 2 months before PE diagnosis; 44 healthy subjects (21M, 23F) were recruited as control group. Patients who had previously developed Covid-19 needed hospitalization in high percentage (84%); this group showed significantly higher prevalence of diabetes mellitus than Covid-19-free PE patients, reduced serum levels of C-reactive protein, sST2 and PESI score. In post-Covid-19 PE group, we observed higher mean IMPROVE risk score, whereas in Covid-19-free group lower P/F ratio, higher radiological severity, and worse PESI score and severity index. Covid-19 infection affects not just the lung parenchyma but also other organs; endothelial damage plays pivotal role in long-term alterations; in high thrombotic risk group (recent hospitalization due to acute Covid-19 infection), we have described thrombotic complications characterized by persistent prothrombotic state after recovery, highlighted by well-known markers as PCR and D-Dimer as well as novel vascular marker (sST2)

A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease

Background: Mechanisms of myocardial ischemia in obstructive and non-obstructive coronary artery disease (CAD), and the interplay between clinical, functional, biological and psycho-social features, are still far to be fully elucidated. Objectives: To develop a machine-learning (ML) model for the supervised prediction of obstructive versus non-obstructive CAD. Methods: From the EVA study, we analysed adults hospitalized for IHD undergoing conventional coronary angiography (CCA). Non-obstructive CAD was defined by a stenosis < 50% in one or more vessels. Baseline clinical and psycho-socio-cultural characteristics were used for computing a Rockwood and Mitnitski frailty index, and a gender score according to GENESIS-PRAXY methodology. Serum concentration of inflammatory cytokines was measured with a multiplex flow cytometry assay. Through an XGBoost classifier combined with an explainable artificial intelligence tool (SHAP), we identified the most influential features in discriminating obstructive versus non-obstructive CAD. Results: Among the overall EVA cohort (n = 509), 311 individuals (mean age 67 ± 11 years, 38% females; 67% obstructive CAD) with complete data were analysed. The ML-based model (83% accuracy and 87% precision) showed that while obstructive CAD was associated with higher frailty index, older age and a cytokine signature characterized by IL-1β, IL-12p70 and IL-33, non-obstructive CAD was associated with a higher gender score (i.e., social characteristics traditionally ascribed to women) and with a cytokine signature characterized by IL-18, IL-8, IL-23. Conclusions: Integrating clinical, biological, and psycho-social features, we have optimized a sex- and gender-unbiased model that discriminates obstructive and non-obstructive CAD. Further mechanistic studies will shed light on the biological plausibility of these associations. Clinical trial registration: NCT02737982

The Sex-Specific Detrimental Effect of Diabetes and Gender-Related Factors on Pre-admission Medication Adherence Among Patients Hospitalized for Ischemic Heart Disease: Insights From EVA Study

Background: Sex and gender-related factors have been under-investigated as relevant determinants of health outcomes across non-communicable chronic diseases. Poor medication adherence results in adverse clinical outcomes and sex differences have been reported among patients at high cardiovascular risk, such as diabetics. The effect of diabetes and gender-related factors on medication adherence among women and men at high risk for ischemic heart disease (IHD) has not yet been fully investigated.Aim: To explore the role of sex, gender-related factors, and diabetes in pre-admission medication adherence among patients hospitalized for IHD.Materials and Methods: Data were obtained from the Endocrine Vascular disease Approach (EVA) (ClinicalTrials.gov Identifier: NCT02737982), a prospective cohort of patients admitted for IHD. We selected patients with baseline information regarding the presence of diabetes, cardiovascular risk factors, and gender-related variables (i.e., gender identity, gender role, gender relations, institutionalized gender). Our primary outcome was the proportion of pre-admission medication adherence defined through a self-reported questionnaire. We performed a sex-stratified analysis of clinical and gender-related factors associated with pre-admission medication adherence.Results: Two-hundred eighty patients admitted for IHD (35% women, mean age 70), were included. Around one-fourth of the patients were low-adherent to therapy before hospitalization, regardless of sex. Low-adherent patients were more likely diabetic (40%) and employed (40%). Sex-stratified analysis showed that low-adherent men were more likely to be employed (58 vs. 33%) and not primary earners (73 vs. 54%), with more masculine traits of personality, as compared with medium-high adherent men. Interestingly, women reporting medication low-adherence were similar for clinical and gender-related factors to those with medium-high adherence, except for diabetes (42 vs. 20%, p = 0.004). In a multivariate adjusted model only employed status was associated with poor medication adherence (OR 0.55, 95%CI 0.31–0.97). However, in the sex-stratified analysis, diabetes was independently associated with medication adherence only in women (OR 0.36; 95%CI 0.13–0.96), whereas a higher masculine BSRI was the only factor associated with medication adherence in men (OR 0.59, 95%CI 0.35–0.99).Conclusion: Pre-admission medication adherence is common in patients hospitalized for IHD, regardless of sex. However, patient-related factors such as diabetes, employment, and personality traits are associated with adherence in a sex-specific manner

Demenza a Corpi di Lewy

Le innovative metodiche di imaging associate all'accurata valutazione clinica e cognitiva del paziente, consentono un adeguato riconoscimento anche di quelle forme di demenza, come la demenza a corpi di Lewy, che in passato risultavano scarsamente diagnosticate. Grazie anche al trattamento terapeutico più idoneo è possibile restituire ai pazienti una buona qualità di vita

La riabilitazione cognitiva

Il termine riabilitazione cognitiva identifica “interventi, strategie o tecniche, aventi la finalità di consentire ai pazienti ed alle loro famiglie di convivere, amministrare, by-passare, ridurre e gestire i deficit cognitivi” (Wilson 1997). Le tecniche di riabilitazione sono finalizzate a massimizzare la capacità di mantenere l’autonomia nel proprio ambiente con i limiti imposti dalla patologia, dal danno funzionale e dalle risorse disponibili e ad aiutare la persona ad adattarsi al nuovo status psico-fisico. Il fine ultimo dell’intervento è il miglioramento delle funzionalità nella vita di tutti i giorn

La Medicina predittiva nella pratica clinica

La medicina predittiva è quel metodo, basato sulla identificazione dei fattori di rischio in fase preclinica e sulla definizione del profilo di predisposizione alla malattia di ciascun singolo soggetto, che consente, in presenza di predisposizione per una o più malattie, di monitorarne l’evoluzione e realizzare interventi preventivi appropriati, suggerendo stili di vita e/o terapie personalizzat