Detection and Physicochemical Characterization of Membrane Vesicles (MVs) of Lactobacillus reuteri DSM 17938

Membrane vesicles (MVs) are bilayer structures which bleb from bacteria, and are important in trafficking biomolecules to other bacteria or host cells. There are few data about MVs produced by the Gram-positive commensal-derived probiotic Lactobacillus reuteri; however, MVs from this species may have potential therapeutic benefit. The aim of this study was to detect and characterize MVs produced from biofilm (bMVs), and planktonic (pMVs) phenotypes of L. reuteri DSM 17938. MVs were analyzed for structure and physicochemical characterization by Scanning Electron Microscope (SEM) and Dynamic Light Scattering (DLS). Their composition was interrogated using various digestive enzyme treatments and subsequent Transmission Electron Microscopy (TEM) analysis. eDNA (extracellular DNA) was detected and quantified using PicoGreen. We found that planktonic and biofilm of L. reuteri cultures generated MVs with a broad size distribution. Our data also showed that eDNA was associated with pMVs and bMVs (eMVsDNA). DNase I treatment demonstrated no modifications of MVs, suggesting that an eDNA-MVs complex protected the eMVsDNA. Proteinase K and Phospholipase C treatments modified the structure of MVs, showing that lipids and proteins are important structural components of L. reuteri MVs. The biological composition and the physicochemical characterization of MVs generated by the probiotic L. reuteri may represent a starting point for future applications in the development of vesicles-based therapeutic systems

Malnutrition in COVID-19 survivors: prevalence and risk factors

Background: Nutritional status is a critical factor throughout COVID-19 disease course. Malnutrition is associated with poor outcomes in hospitalized COVID-19 patients. Aim: To assess the prevalence of malnutrition and identify its associated factors in COVID-19 survivors. Methods: Study cohort included 1230 COVID-19 survivors aged 18-86 attending a post-COVID-19 outpatient service. Data on clinical parameters, anthropometry, acute COVID-19 symptoms, lifestyle habits were collected through a comprehensive medical assessment. Malnutrition was assessed according to Global Leadership Initiative on Malnutrition (GLIM) criteria. Results: Prevalence of malnutrition was 22% at 4-5 months after acute disease. Participants who were not hospitalized during acute COVID-19 showed a higher frequency of malnutrition compared to those who needed hospitalization (26% versus 19%, p < 0.01). Malnutrition was found in 25% COVID-19 survivors over 65 years of age compared to 21% younger participants (p < 0.01). After multivariable adjustment, the likelihood of being malnourished increased progressively and independently with advancing age (Odds ratio [OR] 1.02; 95% CI 1.01-1.03) and in male participants (OR 5.56; 95% CI 3.53-8.74). Malnutrition was associated with loss of appetite (OR 2.50; 95% CI 1.73-3.62), and dysgeusia (OR 4.05; 95% CI 2.30-7.21) during acute COVID-19. Discussion: In the present investigation we showed that malnutrition was highly prevalent in a large cohort of COVID-19 survivors at 4-5 months from acute illness. Conclusions: Our findings highlight the need to implement comprehensive nutritional assessment and therapy as an integral part of care for COVID-19 patients

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

COVID-19 atypical Parsonage-Turner syndrome: a case report

Background Neurological manifestations of Sars-CoV-2 infection have been described since March 2020 and include both central and peripheral nervous system manifestations. Neurological symptoms, such as headache or persistent loss of smell and taste, have also been documented in COVID-19 long-haulers. Moreover, long lasting fatigue, mild cognitive impairment and sleep disorders appear to be frequent long term neurological manifestations after hospitalization due to COVID-19. Less is known in relation to peripheral nerve injury related to Sars-CoV-2 infection. Case presentation We report the case of a 47-year-old female presenting with a unilateral chest pain radiating to the left arm lasting for more than two months after recovery from Sars-CoV-2 infection. After referral to our post-acute outpatient service for COVID-19 long haulers, she was diagnosed with a unilateral, atypical, pure sensory brachial plexus neuritis potentially related to COVID-19, which occurred during the acute phase of a mild Sars-CoV-2 infection and persisted for months after resolution of the infection. Conclusions We presented a case of atypical Parsonage-Turner syndrome potentially triggered by Sars-CoV-2 infection, with symptoms and repercussion lasting after viral clearance. A direct involvement of the virus remains uncertain, and the physiopathology is unclear. The treatment of COVID-19 and its long-term consequences represents a relatively new challenge for clinicians and health care providers. A multidisciplinary approach to following-up COVID-19 survivors is strongly advised

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

(AS) TNF-alpha blockade induces a reversible but transient effect on endothelial dysfunction in patients with long-standing severe rheumatoid arthritis.

Considerable evidence indicates that patients with rheumatoid arthritis (RA) are at greater risk of developing atherosclerosis and cardiovascular disease. Recent studies support the predictive ability of endothelial function measures for subsequent atherosclerotic events. We have investigated the effects of infliximab, a chimeric monoclonal anti-tumor necrosis factor (TNF) antibody, on endothelial vasodilation, measured by brachial ultrasonography and on the levels of inflammatory biomarkers and adhesion molecules in ten consecutive patients with severe long-standing RA, despite methotrexate therapy, during the loading phase of infliximab therapy. Flow-mediated dilation (FMD) in RA patients at baseline was significantly impaired compared with healthy controls (7.71 +/- 2.78% vs 14.91 +/- 6.41%; p = 0.008) and improved significantly after infliximab infusion (12.63 +/- 1.63% vs 7.71 +/- 2.78%; p = 0.005). At baseline, a statistically significant correlation between C-reactive protein levels and FMD was found (r = -0.69, p = 0.026). However, this improvement was transitory, as FMD values returned to baseline values before each infliximab infusion at weeks 2, 6 and 14. There were no significant differences in baseline brachial artery diameter between visits, although at each time, the diameter was increased. According to European League Against Rheumatism response criteria, all ten patients were good responders. No significant differences were observed in intercellular cell adhesion molecule-1, vascular cell adhesion molecule-1, vascular endothelial growth factor and E-selectin plasma levels before and after each infusions. This study demonstrates that endothelial dysfunction is a reversible phenomenon in RA. The addition of anti-TNFalpha treatment reduces inflammatory symptoms in patients with severe RA. The improvement of endothelial function during the loading phase of therapy is transitory, suggesting an enhanced and persistent TNF-alpha generation within the arterial wall

Endometriosis and atherosclerosis: what we already know and what we have yet to discover

The possible association between endometriosis and atherosclerosis represents an emerging topic in the field of women's health. In this Clinical Opinion paper, we analyze this theme focusing on the pathogenetic mechanisms of both diseases, deeply discussing about what is already known about this association and producing starting points about what we consider suitable to research in the near future with regard to cardiovascular involvement in women affected by endometriosis. We have identified 5 reports specifically carried out to investigate the relationship between atherosclerosis and endometriosis; these studies show the presence of subclinical atherosclerosis in women affected by endometriosis, susceptible of regression after surgical removal of endometriosis, with a possible prognostic relevance for variations of cardiovascular risk in these women. However, to date, no studies in literature have been carried out to investigate the real incidence of cardiovascular events in women with endometriosis

CHA2DS2-VASc and R2CHA2DS2-VASc scores predict mortality in high cardiovascular risk population

Background: The CHA(2)DS(2)-VASc score, widely used to estimate cardioembolic risk in patients with atrial fibrillation (AF), appears to be useful also in predicting vascular adverse events and death in different sets of patients without AF. The R(2)CHA(2)DS(2)-VASc score, which includes renal impairment, allows a better prediction of death and thromboembolism in patients without AF. The aims of our study were to assess, in a large sample of patients at high cardiovascular (CV) risk, (i) the correlation between CHA(2)DS(2)-VASc and R(2)CHA(2)DS(2)-VASc with all-cause mortality, and (ii) to compare the performances of CHA(2)DS(2)-VASc and R(2)CHA(2)DS(2)-VASc in predicting all-cause mortality.Methods: In this single-centre prospective observational study, conducted at the Research Hospital 'Casa Sollievo della Sofferenza' between June 2016 and December 2018, 1017 CV patients at high risk of undergoing coronary angiography were enrolled.Results: CHA(2)DS(2)-VASc and R(2)CHA(2)DS(2)-VASc scores significantly associated with all-cause mortality. For each one-point increase in CHA(2)DS(2)-VASc or R(2)CHA(2)DS(2)-VASc scores, mortality increased by almost 1.5-fold. The R(2)CHA(2)DS(2)-VASc score (C-statistic = 0.71; 95% CI = 0.65-76) outperformed the CHA(2)DS(2)-VASc score (C-statistic = 0.66; 95% CI = 0.61-0.71) in predicting 4-year mortality (delta C-statistic = 0.05; 95% CI = 0.02-0.07). The better predictive ability of the R-CHA(2)DS(2)-VASc score was also demonstrated by an IDI = 0.027 (95% CI = 0.021-0.034, p <.00001) and a relative IDI = 62.8% (95% CI = 47.9%-81.3%, p <.00001). The R(2)CHA(2)DS(2)-VASc score correctly reclassified the patients with a NRI = 0.715 (95% = 0.544-0.940, p <.00001).Conclusions: The CHA(2)DS(2)-VASc and R(2)CHA(2)DS(2)-VASc scores are useful predictors of all-cause mortality in subjects at high CV risk, with the R(2)CHA(2)DS(2)-VASc score being the best performer