1,720,999 research outputs found
Biormaker discovery for multifactorial diseases: methodology and applications to Multiple Sclerosis.
Genetic susceptibility to Multiple Sclerosis: statistical analysis of genetic variants and brain gene expression data
Mindfulness-based stress reduction program improves psychological well-being and blood pressure in an Italian context: potential mechanisms and benefits
Background: Chronic psychosocial stress may exacerbate inflammation and oxidative stress, potentially contributing to the aetiology of many lifestyle-related diseases, including elevation of blood pressure (BP) and increased cardiovascular risk. Mindfulness-based stress reduction (MBSR) improves psychological well-being, but few studies have investigated its effect on biological parameters related to stress. This study evaluated whether the MBSR program can lower stress and anxiety and improve some biological stress markers. Methods: This is a one-group pretest-posttest quasi-experimental design. We recruited 42 adult volunteers to partake in a standard 8-week MBSR program. The main outcomes were psychological well-being (perceived stress, anxiety and awareness) and stress-related biomarkers (systolic and diastolic BP, salivary cortisol, IL-6 and IL-8 levels, plasma carotenoids concentration). Results: MBSR decreased stress (p = 0.002) and anxiety (p = 0.05) and increased awareness (p = 0.01). MBSR also significantly lowered systolic and diastolic BP (p = 0.02; p = 0.001), cortisol (p = 0.01), and IL-6 and IL-8 pro-inflammatory cytokines (p = 0.02; p = 0.03), and enhanced carotenoids (p = 0.03). We found a strong positive correlation between Δ PSS and Δ STAI-Y1 (r = 0.62, p = 0.008), Δ STAI-Y1 and Δ IL8 (r = 0.74, p = 0.0007), and Δ PSS and Δ IL8 (r = 0.5, p = 0.04). Significant negative correlations were observed between Δ PSS and Δ MAAS (r = −0.77, p = 0.0003), Δ STAI-Y1 and Δ MAAS (r = −0.51, p = 0.04), and Δ MAAS and Δ IL8 (r = −0.68, p = 0.003). Conclusion: These preliminary data indicate that the MBSR program significantly improves all the analysed parameters. This program can help cope with stress and anxiety and lower BP by reducing nervous system activation and cortisol levels. By regulating cortisol levels, MBSR can lower inflammation and oxidative stress responses involved in many diseases, including hypertension. Further studies are needed to unravel the complex relationship between mindfulness and its effects on human health
A short Mindfulness retreat can improve biological markers of stress and inflammation
bjective: Mindfulness practice, a form of meditation, has shown benefit for psychological and physical health. In this study, we investigated the effect of an intensive period of Mindfulness practice on some biological mediators of stress and inflammation during a 3-day residential retreat. Methods: A total of 95 healthy individuals (aged 18–67) were recruited and randomized to a Mindfulness retreat arm or an active control arm. Before (t0) and after (t1) the intervention, all the participants were assessed for salivary cortisol levels and for a panel of pro- and anti-inflammatory cytokines measured in saliva. Psychometric measures on stress, anxiety and awareness were carried out using PSS, STAI-Y and MAAS questionnaires, respectively. Results: As to the within-group differences, we observed a statistically significant decrease in perceived stress (β = − 8.85, p < 0.0001), and anxiety scores (β = − 12.39, p < 0.0001), while awareness increased (β = 15.26, p < 0.0001) between t0 to t1 in retreat participants. In the mindfulness intervention group, we also observed a statistically significant reduction in the levels of pro-inflammatory cytokines IL-6 (β = − 0.94 p = 0.001) and IL-8 (β = − 176.40, p < 0.0001), and an increase in anti-inflammatory IL-10 (β = 0.89 p < 0.0001) levels at the end of the retreat. At t1 we observed a highly significant correlation between cortisol levels and both anxiety (r = 0.56, p < 0.0001) and perceived stress (r = 0.92, p < 0.0001) scores. Conclusions: Mindfulness retreat participants showed a significant reduction in perceived stress and anxiety levels, as well as an improved balance of some key mediators of inflammatory states. Our data provide evidence that a mindfulness retreat may be effective in improving physical and mental health. Future studies with larger numbers of subjects and follow-up periods may examine mindfulness practice as a non-pharmacological alternative to promote stress reduction and overall health and wellbeing. © 2021 Elsevier Lt
Genetic and early life factors influence on time-to-multiple sclerosis diagnosis: A UK Biobank study
Background: Previous investigations into multiple sclerosis (MS) risk factors predominantly relied on retrospective studies, which do not consider different follow-up times and assume a constant risk effect throughout lifetime.
Objective: We aimed to evaluate the impact of genetic and early life factors on MS diagnosis by employing a time-to-event analysis in a prospective cohort.
Methods: We used the UK Biobank data, considering the observation period from birth up to 31 December 2022. We considered genetic risk, using a multiple sclerosis polygenic risk score (MS-PRS), and various early life factors. Tobacco smoking and infectious mononucleosis diagnosis were also considered as time-varying variables along the follow-up. Using a Cox proportional hazards model, we examined the associations between these factors and MS diagnosis instantaneous risk.
Results: We analyzed 345,027 participants, of which 1669 had an MS diagnosis. Our analysis revealed age-dependent effects for sex (females vs males) and higher MS-PRS, with greater hazard ratios observed in young adults.
Conclusion: The age-dependent effects suggest that retrospective studies could have underestimated sex and genetic variants' risk roles during younger ages. Therefore, we emphasize the importance of a time-to-event approach using longitudinal data to better characterize age-dependent risk effects
Citation patterns and trends of systematic reviews about mindfulness
Objectives: We performed a citation analysis of the literature about mindfulness aimed at describing the most significant topics and the impact of more relevant papers.
Methods: We classified 128 systematic reviews about mindfulness-based intervention retrieved in Scopus according to their object, the population included and the type of mindfulness proposed. The citation counting was reported. The cumulative citation numbers per chronological years and article life were analyzed thorough a linear regression model.
Results: 1) We observed a general increase in the number of reviews published from 2003 to 2016; 2) two reviews collected the 33% of the overall citations; 3) citation counting for clinical and mixed population collected the 90% of total citations; 4) clinical reviews had higher cumulative citation per publication/year growth.
Conclusions: As mindfulness research advances, higher attention should be given to the mechanisms by which mindfulness interventions work so as to provide fruitful insights for future research
A Pipeline for Phasing and Genotype Imputation on Mixed Human Data (Parents-Offspring Trios and Unrelated Subjects) by Reviewing Current Methods and Software
Genotype imputation has become an essential prerequisite when performing association analysis. It is a computational technique that allows us to infer genetic markers that have not been directly genotyped, thereby increasing statistical power in subsequent association studies, which consequently has a crucial impact on the identification of causal variants. Many features need to be considered when choosing the proper algorithm for imputation, including the target sample on which it is performed, i.e., related individuals, unrelated individuals, or both. Problems could arise when dealing with a target sample made up of mixed data, composed of both related and unrelated individuals, especially since the scientific literature on this topic is not sufficiently clear. To shed light on this issue, we examined existing algorithms and software for performing phasing and imputation on mixed human data from SNP arrays, specifically when related subjects belong to trios. By discussing the advantages and limitations of the current algorithms, we identified LD-based methods as being the most suitable for reconstruction of haplotypes in this specific context, and we proposed a feasible pipeline that can be used for imputing genotypes in both phased and unphased human data
Bayesian Mendelian randomization with an interval causal null hypothesis: ternary decision rules and loss function calibration
We enhance the Bayesian Mendelian Randomization (MR) framework of Berzuini et al. (Biostatistics 21(1):86–101, 2018) by allowing for interval null causal hypotheses, where values of the causal effect parameter that fall within a user-specified interval of “practical equivalence” (ROPE) (Kruschke, Adv Methods Pract Psychol Sci 1(2):270–80, 2018) are regarded as equivalent to “no effect”. We motivate this move in the context of MR analysis. In this approach, the decision over the hypothesis test is taken on the basis of the Bayesian posterior odds for the causal effect parameter falling within the ROPE. We allow the causal effect parameter to have a mixture prior, with components corresponding to the null and the alternative hypothesis. Inference is performed via Markov chain Monte Carlo (MCMC) methods. We speed up the calculations by fitting to the data a simpler model than the intended, "true", one. We recover a set of samples from the “true” posterior distribution by weighted importance resampling of the MCMC-generated samples. From the final samples we obtain a simulation consistent estimate of the desired posterior odds, and ultimately of the Bayes factor for the interval-valued null hypothesis, H , vs H 1 . In those situations where the posterior odds is neither large nor small enough, we allow for an uncertain outcome of the test decision, thereby moving to a ternary decision logic. Finally, we present an approach to calibration of the proposed method via loss function. We illustrate the method with the aid of a study of the causal effect of obesity on risk of juvenile myocardial infarction based on a unique prospective dataset.</p
BIOMARKER DISCOVERY FOR MULTIFACTORIAL DISEASES: METHODOLOGY AND APPLICATIONS TO MULTIPLE SCLEROSIS
Effects of forest bathing (Shinrin-yoku) in stressed people
Aim: This study aims to explore the physiological effect of forest bathing on stress management. Methods: A total of 29 volunteers participated in this pre-post design, which lacked a control group. Several physiological parameters were recorded, including heart rate (HR), heart rate variability (HRV), electrodermal activity (EDA), blood pressure (BP), immunoglobulin A (IGA), and salivary cortisol (sCort). Additionally, the Perceived Stress Scale (PSS-10) was administered before forest exposure. Measurements were taken before and after participants spent 2 days fully immersed in a forest environment. To further assess stress management, participants completed a Mental Arithmetic Task (MAT) before and after forest immersion, during which EDA, HRV, and HR were monitored using an Empatica E4 wristband. Measurements were taken at baseline, during MAT, and afterward (recovery). Results: Participants exhibited moderate perceived stress levels before forest immersion (mean PSS-10 = 21.22, SD = 3.78). Post-forest exposure, there was a significant decrease in sCort (p < 0.05) and EDA (p < 0.001), while HRV increased (p < 0.001), and diastolic blood pressure rose (p < 0.05). ANOVA results from the MAT showed a significant increase in parasympathetic activity across all conditions post-immersion (p < 0.05), except during recovery, while EDA decreased in all conditions post-forest exposure (p < 0.05). Conclusion: Shinrin-yoku significantly improved stress management at a physiological level and could be a valuable intervention for individuals experiencing stress. However, longitudinal studies with a control group are necessary to determine whether these effects are sustained over time. Nonetheless, this study highlights the potential benefits of forest immersion for stress reduction by enhancing sympathovagal balance and the adaptability of the stress response system
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