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Objective Multiple sclerosis (MS) is an autoimmune disorder of the central nervous system affecting patients' well-being and quality of life. Pythagorean Self-Awareness Intervention (PSAI) is a novel non-pharmaceutical intervention with significant benefits both in MS and other chronic diseases. In this study, the longstanding effectiveness of PSAI was investigated. Method This was a two-arm quasi-experimental pragmatic trial in relapsing–remitting MS patients (23 in the PSAI and 21 in the control group). PSAI patients received an 8-week training period and then they performed PSAI at home for another 16 weeks. Assessments took place at baseline, 8 weeks, and 24 weeks. These included cognition, fatigue, perceived stress, and hair cortisol. Results Significant group × time interactions favoring PSAI were found during the first 8-week period for information processing speed, fatigue, and perceived stress. However, only verbal memory was found to be significantly improved in the PSAI group during the 24-week follow-up period. There were no significant group × time differences with respect to hair cortisol. No side effects were noted and compliance was excellent. Conclusions PSAI was mostly effective during the first 8-week training period. Its benefits worn out during the non-training period, albeit we observed a delayed significant improvement of verbal memory. Our findings will help to further refine the technique, either by extending the training period and/or by including booster sessions, throughout the PSAI treatment. This study provided Class III evidence for PSAI. [ABSTRACT FROM AUTHOR]

Byline: Artemios. Artemiadis, Evgenia. Karantoni, George. Nikolaou, Aspasia. Terentiou Sir, Varicella-zoster virus (VZV) is a neurotropic herpesvirus that causes chickenpox. The virus remains dormant within the trigeminal and dorsal root [...]

Abstract Background Centenarians are exceptional ageing paradigms, offering valuable information on achieving longevity. Although, there are several studies examining different biomedical factors as determinants of longevity in centenarians, little is known about gender differences with respect to personality traits and health locus of control. Methods Nation -wide study carried out in Greece, between 2007 and 2010. Our final sample of analysis consisted of 400 centenarians who reported on sociodemographic, disease-related and personality factors and health locus of control (HLC). Gender differences were investigated by simple nonparametric comparisons. Bivariate correlations between personality factors and internal and external HLC were obtained. Results Women centenarians outnumbered men by a ratio of 1.68 to 1. Significant gender sociodemographic differences were noted, with men reporting less often widowhood, more often centenarian 1st degree relatives and smoking. Higher BMI score was measured in males than females. Concerning personality variables, females were more reward-dependent and adaptable than men, while men were more optimistic than women. No differences were found on health locus of control profile between the genders. Positive correlations between self-directness and spirituality with internal locus of control in men and negative correlations between optimism and external locus of control in women emerged as the main gender disparities in the correlation analyses. Self-directness in men and optimism in women were consistently correlated with the two HLC subscales. Conclusions Gender differences should be incorporated in future basic research and epidemiological studies of longevity. Informed policies on ageing and wellbeing programs should also take into account gender issues to increase efficacy by targeting health locus of control.

Abstract Background Self-rated health (SRH) is a popular health measure determined by multiple factors. International literature is increasingly focusing on health-related behaviors such as smoking, dietary habits, physical activity, even religiosity. However, population-based studies taking into account multiple putative determinants of SRH in Greece are scarce. The aim of this study was to clarify possible determinants of SRH with an emphasis on the relationship between SRH and lifestyle variables in a large sample of urban citizens. Methods In this one-year cross-sectional study, a stratified random sample of 3,601 urban citizens was selected. Data were collected using an interview-based questionnaire about various demographic, socioeconomic, disease- and lifestyle related factors such as smoking, physical activity, dietary habits, sleep quality and religiosity. Multivariate logistic regression was used separately in three age groups [15-29 (N = 1,360), 30-49 (N = 1,122) and 50+ (N = 1,119) years old] in order to identify putative lifestyle and other determinants of SRH. Results Reporting of good SRH decreased with age (97.1%, 91.4% and 74.8%, respectively). Overall, possible confounders of the lifestyle-SRH relationship among age groups were sex, education, hospitalization during the last year, daily physical symptoms and disease status. Poor SRH was associated with less physical activity in the 15-29 years old (OR 2.22, 95%CI 1.14-4.33), with past or heavy smoking, along with no sleep satisfaction in the 30-49 years old (OR 3.23, 95%CI 1.35-7.74, OR 2.56, 95%CI 1.29-5.05, OR 1.79, 95%CI 1.1-2.92, respectively) and with obesity and no sleep satisfaction in the 50+ years old individuals (OR 1.83, 95%CI 1.19-2.81, OR 2.54, 95%CI 1.83-3.54). Sleep dissatisfaction of the 50+ years old was the only variable associated with poor SRH at the 0.001 p level of significance (OR 2.45, 99%CI 1.59 to 3.76). Subgroup analyses of the 15-19 years old individuals also revealed sleep dissatisfaction as the only significant variable correlated with SRH. Conclusions Slight differences in lifestyle determinants of SRH were identified among age groups. Sleep quality emerged as an important determinant of SRH in the majority of participants.

Background: Type I interferon signalling dysregulation is a hallmark of SARS‐CoV‐2 infection and among significantly perturbed pathways in Alzheimer's disease. In a previous study, we predicted the involvement of this pathway in the development of SARS‐CoV‐2 Associated Neurocognitive Disorder (SAND) via a crosstalk between peripheral immunity and the CNS. The purpose of this study is to determine whether current data support provide external validation to our pathogenetic hypothesis. Method: Data for our validation analyses were leveraged from studies of frontal cortex (FC) transcriptomes donated by Alzheimer's disease and COVID‐19 patients vs. controls, respectively. An additional dataset of nasal epithelial cells from COVID‐19 patients was also used as a putative crosstalk site. Enrichment analyses were employed to provide an unbiased estimate of the enrichment of Type I interferon responses. Furthermore, we performed a literature search in order to identify studies on the effects of COVID‐19 on two different settings: (a) to determine the effects of peripheral exosome cargo on CNS tissue (b) to determine the cargo of neuronal‐derived exosomes. For enrichment analyses, a false discover rate (FDR) <0.05 was considered statistically significant. Result: The type I interferon pathway (IFN‐I; GO:0060337) was significantly enriched in both Alzheimer's disease and COVID‐19 FC transcriptomes, as well as nasal epithelia of COVID‐19 patients. Common genes in both IFN‐I FC signatures included PSMB8, IP6K2, IFI35, EGR1, ISG20, MYD88, IFITM1, SP100, GBP2, IFITM3, OASL, IRF1, IRF2, MX2, IFNA2, IRF9, IFIT3, STAT2, HLA‐C, SAMHD1, IFI27, IFITM2, IRF7, BST2. At least one study reports on miR‐148a and miR‐590 as exosomal cargo of infected non‐neuronal cells capable of affecting IFN‐I responses and inducing microglial activation, supporting the role of exosomes as facilitators of IFN‐I crosstalk between the periphery and the CNS. Correspondingly, at least one study reports on proteopathic seeds as cargo of neuron‐derived exosomes. Conclusion: Independent studies and data support continue to corroborate our hypothesis that type I interferon pathway dysregulation as a result of peripheral – CNS immune crosstalk may mediate neuroinflammation and Alzheimer's disease‐like pathology as observed in SAND. [ABSTRACT FROM AUTHOR]

Objectives: Psychological stress is an important risk factor for multiple sclerosis (MS) onset, relapse, neurological symptoms and psychosocial adjustment to the disease. Mounting evidence suggests that stress management could halt the disease progression and improve patients' wellbeing. The aim of this study was to investigate the effectiveness of a novel cognitive-behavioral stress management technique (called Pythagorean Self-Awareness Intervention – PSAI) routinely used in our clinics in patients with MS. Methods: In this observational study, 148 MS patients receiving PSAI for 8-weeks were compared patients who followed only usual care. Measurements included cognitive function, psychological distress and physical fatigue. Propensity score (PS) methods (given the observational design) and linear mixed models were employed to address study's endpoints. Results: A total of 128 (86.5%) of MS patients fulfilled the PS criteria for analyses (72 in the PSAI group and 56 in the control group). Patients of tertiary education, longer disease duration, higher cognitive score and psychological distress were more likely to choose to participate in the PSAI group. PSAI patients were found with statistical significant beneficial changes in cognitive speed processing, verbal memory, stress, anxiety, depression and fatigue. Based on the numbers-needed-to-treat of the weighted data, PSAI was particularly effective in improving cognitive speed processing (NNT = 10) and stress (NNT = 12). Discussion: PSAI can benefit cognitive function and psychological distress in MS patients. Future studies should expand these results in randomized trials and by using longer follow-up and MS activity-related endpoints. Abbreviations: BICAMS: Brief International Cognitive Assessment for Multiple Sclerosis BVMT-R: Brief Visuospatial Memory Test Revised CVLT: California Verbal Learning Test DASS: Depression Anxiety Stress Scale EDSS: Expanded Disability Status Scale MS: Multiple Sclerosis NNT: Numbers Needed to Treat PS: Propensity Score PSAI: Pythagorean Self-Awareness Intervention RR: Relapsing Remitting SDMT: Symbol Digits Modalities Test VAS-PF: Visual Analogue Scale Physical Fatigue [ABSTRACT FROM AUTHOR]