Effect of High-intensity Training and Probiotics on Gut Microbiota Diversity in Competitive Swimmers: Randomized Controlled Trial.

BACKGROUND: Physical exercise has favorable effects on the structure of gut microbiota and metabolite production in sedentary subjects. However, little is known whether adjustments in an athletic program impact overall changes of gut microbiome in high-level athletes. We therefore characterized fecal microbiota and serum metabolites in response to a 7-week, high-intensity training program and consumption of probiotic Bryndza cheese. METHODS: Fecal and blood samples and training logs were collected from young competitive male (n = 17) and female (n = 7) swimmers. Fecal microbiota were categorized using specific primers targeting the V1-V3 region of 16S rDNA, and serum metabolites were characterized by NMR-spectroscopic analysis and by multivariate statistical analysis, Spearman rank correlations, and Random Forest models. RESULTS: We found higher α-diversity, represented by the Shannon index value (HITB-pre 5.9 [± 0.4]; HITB-post 6.4 [± 0.4], p = 0.007), (HIT-pre 5.5 [± 0.6]; HIT-post 5.9 [± 0.6], p = 0.015), after the end of the training program in both groups independently of Bryndza cheese consumption. However, Lactococcus spp. increased in both groups, with a higher effect in the Bryndza cheese consumers (HITB-pre 0.0021 [± 0.0055]; HITB-post 0.0268 [± 0.0542], p = 0.008), (HIT-pre 0.0014 [± 0.0036]; HIT-post 0.0068 [± 0.0095], p = 0.046). Concomitant with the increase of high-intensity exercise and the resulting increase of anaerobic metabolism proportion, pyruvate (p[HITB] = 0.003; p[HIT] = 0.000) and lactate (p[HITB] = 0.000; p[HIT] = 0.030) increased, whereas acetate (p[HITB] = 0.000; p[HIT] = 0.002) and butyrate (p[HITB] = 0.091; p[HIT] = 0.019) significantly decreased. CONCLUSIONS: Together, these data demonstrate a significant effect of high-intensity training (HIT) on both gut microbiota composition and serum energy metabolites. Thus, the combination of intensive athletic training with the use of natural probiotics is beneficial because of the increase in the relative abundance of lactic acid bacteria.

Relation between testosterone levels and body composition, physical functioning and selected biochemical parameters in adult males.

INTRODUCTION: The objective of the study was to examine the relationship between the values of selected parameters of physical function, body composition, body mass index (BMI) and biochemical markers of metabolic health with the total testosterone (TT) levels in adult males. We aimed to analyse the correlation between these values and variations in the TT levels. METHODS: A total of 17 subjects (age = 50.2 ± 8.1 years, TT = 11.4 ± 3.8nmol/l) were included in the study. Subjects were tested on physical function (1RM on leg press, bench-press, handgrip, VO2max), body composition (DXA), biochemical parameters (morning fasting blood samples). RESULTS: TT was inversely correlated with abdominal circumference (AC) (p.

Strength training as a supplemental therapy for androgen deficiency of the aging male (ADAM): study protocol for a three-arm clinical trial.

INTRODUCTION: Androgen deficiency of the ageing male is a clinical syndrome resulting from the low production of androgens (testosterone levels <6.9 nmol/L) with symptoms including decline in lean mass, muscle strength, increases in body mass and overall fat mass. The aim of the study is to examine the effect of a 12 week strength training intervention on body composition, physical function, muscle cellular and molecular and selected biochemical markers of metabolic health in hypogonadal patients. METHODS AND ANALYSIS: The study is three-group controlled 12-week experiment to assess the effect of strength training on hypogonadal patients with testosterone replacement therapy and newly diagnosed males without testosterone replacement therapy. Age matched healthy eugonadal males are also engaged in strength training. Lean mass is used to determine sample size indicating, that 22 subjects per group will be sufficient to detect intervention related changes at the power of 0.90. All outcomes are collected before the intervention (pre-intervention assessments) and after the intervention (post-intervention assessments). Clinical outcomes are body composition (lean mass, fat mass and total body mass) measured by dual-energy X-ray absorptiometry, physical functioning assessed by physical tests and psychosocial functioning. The most important haematological and biochemical parameters included are glucose, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, testosterone, luteinizing hormone, follicle-stimulating hormone, sexhormone-binding globulin, insulin and prostate-specific antigen. Muscle cellular and molecular outcomes are muscle fibre size and regulators of muscle fibre size. Muscle cellular outcomes are measured from muscle biopsies obtained from musculus vastus lateralis. ETHICS AND DISSEMINATION: This trial is approved by Ethics Committee of the University Hospital in Bratislava, Slovakia, (ref. trial number: 127/2017) and all subjects will be fully informed on the rationale, risks and benefits of the study and sign the written informed consent prior to entering the study. Results will be published in peer-reviewed journals and presented in scientific conferences. TRIAL REGISTRATION NUMBER: NCT03282682.

Sleep in elite swimmers: prevalence of sleepiness, obstructive sleep apnoea and poor sleep quality.

OBJECTIVES: Limited data suggest that swimmers might be affected by poor quality of sleep significantly. The aim was to explore the prevalence of sleep disturbances in swimmers and possible link between rhinitis and sleep disturbance. METHODS: Study 1 was an observational case-control, questionnaire-based study involving 157 elite and non-elite swimmers, 36 non-swimming athletes and 50 controls. In study 2, we measured sleep quality and duration using actigraphy in 20 elite swimmers. We also looked for presence of sleep-disordered breathing using overnight pulse oximetry monitor. RESULTS: In study 1, we observed a significant difference in prevalence of excessive daytime sleepiness between groups of elite swimmers and controls. Pittsburgh Sleep Quality Index (PSQI) scores do not suggest that quality of sleep in group of swimmers is impaired. In study 2, we found that prevalence of obstructive sleep apnoea (OSA) in elite swimmers defined as oxygen desaturation index ≥5 was 30%. Analysis of actigraphy data revealed that on nights prior to training days, 'going to' bed time was significantly earlier and total sleep time was significantly reduced. CONCLUSION: Swimmers and non-swimming athletes suffer significantly more with excessive daytime sleepiness than healthy controls. In elite swimmers, this is likely linked to high prevalence of OSA. PSQI scores do not suggest that quality of sleep in group of swimmers is impaired, but actigraphy shows great variations between sleep pattern preceding training and rest day. This seems to be associated with early-morning sessions which can be a disruptive element of weekly sleep patterns.

Excessive Daytime Sleepiness in Acute Ischemic Stroke: Association With Restless Legs Syndrome, Diabetes Mellitus, Obesity, and Sleep-Disordered Breathing.

STUDY OBJECTIVES: Sleep disorders are frequent in stroke patients. The prevalence of sleep-disordered breathing (SDB), excessive daytime sleepiness (EDS), and restless legs syndrome (RLS) among stroke survivors is up to 91%, 72%, and 15%, respectively. Although the relationship between EDS and SDB is well described, there are insufficient data regarding the association of EDS with RLS. The aim of this study was to explore the association between EDS, SDB, and RLS in acute ischemic stroke. METHODS: We enrolled 152 patients with acute ischemic stroke. Epworth Sleepiness Scale (ESS) was used to assess EDS. SDB was assessed using standard overnight polysomnography. All patients filled in a questionnaire focused on RLS. Clinical characteristics and medication were recorded on admission. RESULTS: EDS was present in 16 (10.5%), SDB in 90 (59.2%) and RLS in 23 patients (15.1%). EDS was significantly more frequent in patients with RLS in comparison with the patients without RLS (26.1% versus 7.8%, P = .008). ESS was significantly higher in the population with RLS compared to the population without RLS (7 [0-14] versus 3 [0-12], P = .032). We failed to find any significant difference in the frequency of EDS and values of ESS in the population with SDB compared to the population without SDB. Presence of RLS (beta = 0.209; P = .009), diabetes mellitus (beta = 0.193; P = .023), and body mass index (beta = 0.171; P = .042) were the only independent variables significantly associated with ESS in multiple linear regression analysis. CONCLUSIONS: Our results suggest a significant association of ESS with RLS, diabetes mellitus, and obesity in patients with acute ischemic stroke.

Prevalence of Rhinitis in Athletes: Systematic Review.

BACKGROUND: Prevalence of rhinitis in athletes has frequently been studied and varies widely from 27% to 74%. The aim of this systematic review was to examine the prevalence of rhinitis in athletes, to specifically compare the evidence of rhinitis in land-based and aquatic athletes. METHODS: Systematic search of MEDLINE, EMBASE, and the non-MEDLINE subset of PubMed was performed from inception to March 8, 2016, to identify studies on rhinitis in athletes. RESULTS: Of the 373 identified unique articles, a total of 13 studies satisfied the criteria for this review. The final group contained 9 cohort and 4 case-control studies. We found 10 studies that reported the prevalence of allergic rhinitis (21%-56.5%). In contrast, nonallergic rhinitis was identified by only 1 author (6%). We have also evaluated the prevalence of rhinitis in the separate subgroups (land, water, and cold air) where swimmers seem to be the most affected (40%-74%), followed by cross-country skiers (46%) and track and field athletes (21 to 49%). CONCLUSION: We did not reveal any convincing trend of a higher prevalence in land-based athletes compared to general population. By contrast, aquatic and cold air athletes demonstrate increased prevalence reflecting the irritant effects of their environment on the nasal mucosa.