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1.
Clin Ther ; 44(8): 1129-1149, 2022 08.
Artigo em Inglês | MEDLINE | ID: mdl-35810031

RESUMO

PURPOSE: Testosterone replacement and associated pharmacologic agents are effective strategies to treat male hypogonadism; however, nutraceutical agents and lifestyle modification approaches have gained medical interest. The purpose of this scoping review is to highlight the evidence (or lack thereof) of nutraceuticals and lifestyle modification approaches in the management of testosterone levels and sperm parameters. METHODS: A scoping review of nonpharmacologic interventions (supplements, herbal medicines, diets, sleep, and exercise) with the potential to improve male health was undertaken to elucidate changes in testosterone levels and sperm parameters in men with hypogonadism or infertility compared with healthy patients. FINDINGS: A multitude of nutraceuticals and functional nutrients are purported to stimulate testosterone production; however, only a select few have had promising results, such as zinc, vitamin D (in case of hypovitaminosis D), l-arginine, mucuna, and ashwagandha, based on well-controlled randomized clinical trials of men with low testosterone levels and related problems. Except for l-arginine, these natural agents, as well as tribulus and ω3 fatty acids, can improve some degree of sperm parameters in infertile men. Before implementing these nutraceutical agents, adequate sleep, exercise, and weight loss in patients with obesity are imperative. The effects of nonpharmacologic interventions on testosterone levels are modest and hence do not directly translate into clinical benefits. Correspondingly, androgen receptor content, but not endogenous androgens, has been regarded as the principal factor in muscle hypertrophy. IMPLICATIONS: A limited number of supplements and herbal medicines can be considered as adjunctive approaches in the management of testosterone levels and sperm parameters, primarily in men with low testosterone levels and infertility, whereas most nonpharmacologic supplements appear to lack evidence. Although proper physical exercise, sleep, and diet are indisputable approaches because of the general benefits to health, the use of nutraceuticals, if considered, must be personalized by physicians and/or registered dietitians.


Assuntos
Hipogonadismo , Infertilidade , Arginina/uso terapêutico , Ácidos Graxos/uso terapêutico , Humanos , Hipogonadismo/tratamento farmacológico , Infertilidade/tratamento farmacológico , Masculino , Receptores Androgênicos , Sêmen , Espermatozoides , Testosterona/uso terapêutico , Vitamina D/uso terapêutico , Zinco
2.
Front Med (Lausanne) ; 9: 806611, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35242782

RESUMO

BACKGROUND: P.1 lineage (Gamma) was first described in the State of Amazonas, northern Brazil, in the end of 2020, and has emerged as a very important variant of concern (VOC) of SARS-CoV-2 worldwide. P.1 has been linked to increased infectivity, higher mortality, and immune evasion, leading to reinfections and potentially reduced efficacy of vaccines and neutralizing antibodies. METHODS: The samples of 276 patients from the State of Amazonas were sent to a central referral laboratory for sequencing by gold standard techniques, through Illumina MiSeq platform. Both global and regional phylogenetic analyses of the successfully sequenced genomes were conducted through maximum likelihood method. Multiple alignments were obtained including previously obtained unique human SARS-CoV-2 sequences. The evolutionary histories of spike and non-structural proteins from ORF1a of northern genomes were described and their molecular evolution was analyzed for detection of positive (FUBAR, FEL, and MEME) and negative (FEL and SLAC) selective pressures. To further evaluate the possible pathways of evolution leading to the emergence of P.1, we performed specific analysis for copy-choice recombination events. A global phylogenomic analysis with subsampled P.1 and B.1.1.28 genomes was applied to evaluate the relationship among samples. RESULTS: Forty-four samples from the State of Amazonas were successfully sequenced and confirmed as P.1 (Gamma) lineage. In addition to previously described P.1 characteristic mutations, we find evidence of continuous diversification of SARS-CoV-2, as rare and previously unseen P.1 mutations were detected in spike and non-structural protein from ORF1a. No evidence of recombination was found. Several sites were demonstrated to be under positive and negative selection, with various mutations identified mostly in P.1 lineage. According to the Pango assignment, phylogenomic analyses indicate all samples as belonging to the P.1 lineage. CONCLUSION: P.1 has shown continuous evolution after its emergence. The lack of clear evidence for recombination and the positive selection demonstrated for several sites suggest that this lineage emergence resulted mainly from strong evolutionary forces and progressive accumulation of a favorable signature set of mutations.

3.
Braz J Infect Dis ; 26(2): 102347, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35341739

RESUMO

BACKGROUND: Several therapies have been used or proposed for the treatment of COVID-19, although their effectiveness and safety have not been properly evaluated. The purpose of this document is to provide recommendations to support decisions about the drug treatment of outpatients with COVID-19 in Brazil. METHODS: A panel consisting of experts from different clinical fields, representatives of the Brazilian Ministry of Health, and methodologists (37 members in total) was responsible for preparing these guidelines. A rapid guideline development method was used, based on the adoption and/or adaptation of recommendations from existing international guidelines combined with additional structured searches for primary studies and new recommendations whenever necessary (GRADE-ADOLOPMENT). The rating of quality of evidence and the drafting of recommendations followed the GRADE method. RESULTS: Ten technologies were evaluated, and 10 recommendations were prepared. Recommendations were made against the use of anticoagulants, azithromycin, budesonide, colchicine, corticosteroids, hydroxychloroquine/chloroquine alone or combined with azithromycin, ivermectin, nitazoxanide, and convalescent plasma. It was not possible to make a recommendation regarding the use of monoclonal antibodies in outpatients, as their benefit is uncertain and their cost is high, with limitations of availability and implementation. CONCLUSION: To date, few therapies have demonstrated effectiveness in the treatment of outpatients with COVID-19. Recommendations are restricted to what should not be used, in order to provide the best treatment according to the principles of evidence-based medicine and to promote resource savings by aboiding ineffective treatments.


Assuntos
Tratamento Farmacológico da COVID-19 , COVID-19 , Cardiologia , Doenças Transmissíveis , Medicina de Emergência , Geriatria , Azitromicina , Brasil , COVID-19/terapia , Medicina Comunitária , Humanos , Imunização Passiva , Pacientes Ambulatoriais , Procedimentos Cirúrgicos Vasculares , Soroterapia para COVID-19
4.
Braz. j. infect. dis ; Braz. j. infect. dis;26(2): 102347, 2022. tab, graf
Artigo em Inglês | LILACS-Express | LILACS | ID: biblio-1384118

RESUMO

ABSTRACT Background Several therapies have been used or proposed for the treatment of COVID-19, although their effectiveness and safety have not been properly evaluated. The purpose of this document is to provide recommendations to support decisions about the drug treatment of outpatients with COVID-19 in Brazil. Methods A panel consisting of experts from different clinical fields, representatives of the Brazilian Ministry of Health, and methodologists (37 members in total) was responsible for preparing these guidelines. A rapid guideline development method was used, based on the adoption and/or adaptation of recommendations from existing international guidelines combined with additional structured searches for primary studies and new recommendations whenever necessary (GRADE-ADOLOPMENT). The rating of quality of evidence and the drafting of recommendations followed the GRADE method. Results Ten technologies were evaluated, and 10 recommendations were prepared. Recommendations were made against the use of anticoagulants, azithromycin, budesonide, colchicine, corticosteroids, hydroxychloroquine/chloroquine alone or combined with azithromycin, ivermectin, nitazoxanide, and convalescent plasma. It was not possible to make a recommendation regarding the use of monoclonal antibodies in outpatients, as their benefit is uncertain and their cost is high, with limitations of availability and implementation. Conclusion To date, few therapies have demonstrated effectiveness in the treatment of outpatients with COVID-19. Recommendations are restricted to what should not be used, in order to provide the best treatment according to the principles of evidence-based medicine and to promote resource savings by aboiding ineffective treatments.

5.
Pathogens ; 10(8)2021 Aug 05.
Artigo em Inglês | MEDLINE | ID: mdl-34451453

RESUMO

Almost a year after the COVID-19 pandemic had begun, new lineages (B.1.1.7, B.1.351, P.1, and B.1.617.2) associated with enhanced transmissibility, immunity evasion, and mortality were identified in the United Kingdom, South Africa, and Brazil. The previous most prevalent lineages in the state of Rio Grande do Sul (RS, Southern Brazil), B.1.1.28 and B.1.1.33, were rapidly replaced by P.1 and P.2, two B.1.1.28-derived lineages harboring the E484K mutation. To perform a genomic characterization from the metropolitan region of Porto Alegre, we sequenced viral samples to: (i) identify the prevalence of SARS-CoV-2 lineages in the region, the state, and bordering countries/regions; (ii) characterize the mutation spectra; (iii) hypothesize viral dispersal routes by using phylogenetic and phylogeographic approaches. We found that 96.4% of the samples belonged to the P.1 lineage and approximately 20% of them were assigned as the novel P.1.2, a P.1-derived sublineage harboring signature substitutions recently described in other Brazilian states and foreign countries. Moreover, sequences from this study were allocated in distinct branches of the P.1 phylogeny, suggesting multiple introductions in RS and placing this state as a potential diffusion core of P.1-derived clades and the emergence of P.1.2. It is uncertain whether the emergence of P.1.2 and other P.1 clades is related to clinical or epidemiological consequences. However, the clear signs of molecular diversity from the recently introduced P.1 warrant further genomic surveillance.

6.
BMJ Case Rep ; 14(2)2021 02 26.
Artigo em Inglês | MEDLINE | ID: mdl-33637513

RESUMO

A severe case of COVID-19 was observed in an otherwise healthy 28-year-old man who had taken oxandrolone 40 mg/day as an anabolic steroid. The patient had been taking oxandrolone for enhanced bodybuilding 30 days prior to presenting to an outpatient clinic with COVID-19 symptoms. The patient reported that his symptoms have rapidly worsened over the course of 4 days prior to presenting at the clinic. As part of an experimental antiandrogen treatment for hyperandrogenic men suffering from COVID-19, he was administered a single 600 mg dose of the novel antiandrogen proxalutamide. Twenty-four hours after administration of this dose, marked improvement of symptoms and markers of disease severity were observed. To our knowledge, this is the first case that potentially links anabolic steroid use to COVID-19 disease severity.


Assuntos
Anabolizantes/efeitos adversos , Antagonistas de Androgênios/administração & dosagem , Tratamento Farmacológico da COVID-19 , Oxandrolona/efeitos adversos , Oxazóis/administração & dosagem , Tioidantoínas/administração & dosagem , Adulto , Anabolizantes/administração & dosagem , Progressão da Doença , Humanos , Masculino , Oxandrolona/administração & dosagem , Substâncias para Melhoria do Desempenho/efeitos adversos , SARS-CoV-2 , Índice de Gravidade de Doença
7.
BMC Endocr Disord ; 20(1): 149, 2020 Sep 29.
Artigo em Inglês | MEDLINE | ID: mdl-32993622

RESUMO

BACKGROUND: Coronavirus Disease 2019 (COVID-19) is a multi-systemic infection caused by the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), that has become a pandemic. Although its prevailing symptoms include anosmia, ageusia, dry couch, fever, shortness of brief, arthralgia, myalgia, and fatigue, regional and methodological assessments vary, leading to heterogeneous clinical descriptions of COVID-19. Aging, uncontrolled diabetes, hypertension, obesity, and exposure to androgens have been correlated with worse prognosis in COVID-19. Abnormalities in the renin-angiotensin-aldosterone system (RAAS), angiotensin-converting enzyme-2 (ACE2) and the androgen-driven transmembrane serine protease 2 (TMPRSS2) have been elicited as key modulators of SARS-CoV-2. MAIN TEXT: While safe and effective therapies for COVID-19 lack, the current moment of pandemic urges for therapeutic options. Existing drugs should be preferred over novel ones for clinical testing due to four inherent characteristics: 1. Well-established long-term safety profile, known risks and contraindications; 2. More accurate predictions of clinical effects; 3. Familiarity of clinical management; and 4. Affordable costs for public health systems. In the context of the key modulators of SARS-CoV-2 infectivity, endocrine targets have become central as candidates for COVID-19. The only endocrine or endocrine-related drug class with already existing emerging evidence for COVID-19 is the glucocorticoids, particularly for the use of dexamethasone for severely affected patients. Other drugs that are more likely to present clinical effects despite the lack of specific evidence for COVID-19 include anti-androgens (spironolactone, eplerenone, finasteride and dutasteride), statins, N-acetyl cysteine (NAC), ACE inhibitors (ACEi), angiotensin receptor blockers (ARB), and direct TMPRSS-2 inhibitors (nafamostat and camostat). Several other candidates show less consistent plausibility. In common, except for dexamethasone, all candidates have no evidence for COVID-19, and clinical trials are needed. CONCLUSION: While dexamethasone may reduce mortality in severely ill patients with COVID-19, in the absence of evidence of any specific drug for mild-to-moderate COVID-19, researchers should consider testing existing drugs due to their favorable safety, familiarity, and cost profile. However, except for dexamethasone in severe COVID-19, drug treatments for COVID-19 patients must be restricted to clinical research studies until efficacy has been extensively proven, with favorable outcomes in terms of reduction in hospitalization, mechanical ventilation, and death.


Assuntos
Anti-Inflamatórios/uso terapêutico , Betacoronavirus/efeitos dos fármacos , Infecções por Coronavirus/tratamento farmacológico , Dexametasona/uso terapêutico , Reposicionamento de Medicamentos/métodos , Sistema Endócrino , Pneumonia Viral/tratamento farmacológico , Betacoronavirus/isolamento & purificação , COVID-19 , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/virologia , Humanos , Pandemias , Pneumonia Viral/epidemiologia , Pneumonia Viral/virologia , Prognóstico , SARS-CoV-2
9.
Artigo em Inglês | MEDLINE | ID: mdl-32670198

RESUMO

Objectives: Physiological hormonal adaptions in athletes and pathological changes that occur in overtraining syndrome among athletes are unclear. The Endocrine and Metabolic Responses on Overtraining Syndrome (EROS) study evaluated 117 markers and unveiled novel hormonal and metabolic beneficial adaptive processes in athletes. The objective of the present study was to uncover which modifiable factors predict the behaviors of clinical and biochemical parameters and to understand their mechanisms and outcomes using the parameters evaluated in the EROS study. Methods: We used multivariate linear regression with 39 participants to analyze five independent variables-the modifiable parameters (caloric, carbohydrate, and protein intake, and sleep quality and duration of concurrent cognitive activity) on 37 dependent variables-that were elected among the parameters evaluated in the EROS study. Results: Carbohydrate intake predicted quick hormonal responses to stress and improved explosive responses during exercise. Protein intake predicted improved body composition and metabolism and caloric intake, regardless of the proportion of macronutrients, predicted muscle recovery, and alertness in the morning. Sleep quality predicted improved mood and excessive concurrent cognitive effort in athletes under intense training predicted impaired metabolism and libido. Conclusions: The results support the premise that eating, sleep, and social patterns modulate metabolic and hormonal function, clinical behaviors, and performance status of male athletes, and should be monitored continuously and actively to avoid dysfunctions.


Assuntos
Atletas/psicologia , Transtornos Traumáticos Cumulativos/fisiopatologia , Transtornos Traumáticos Cumulativos/psicologia , Fadiga/fisiopatologia , Fadiga/psicologia , Sono , Fenômenos Fisiológicos da Nutrição Esportiva , Adaptação Fisiológica , Adolescente , Adulto , Composição Corporal , Ingestão de Energia , Exercício Físico , Comportamento Alimentar , Humanos , Masculino , Pessoa de Meia-Idade , Comportamento Social , Esportes , Adulto Jovem
10.
J Sports Med (Hindawi Publ Corp) ; 2020: 3937819, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32373644

RESUMO

OBJECTIVES: Overtraining syndrome (OTS), a common dysfunction among elite athletes, causes decreased performance and fatigue and has no standardized diagnostic criteria. The Endocrine and Metabolic Responses on Overtraining Syndrome (EROS) study identified more than 45 potential biomarkers of OTS. In the present study, we hypothesized that combinations of these biomarkers could be an accurate diagnostic tool for OTS. METHODS: We selected parameters with largest difference and fewest overlapping results compared to healthy athletes and highest feasibility and reproducibility. Among the multiple combinations attempted, we chose those that did not show overlapping results, according to the objective. RESULTS: We included 11 clinical parameters, 4 basal hormones, and 5 hormonal responses in Insulin Tolerance Test (ITT). The three selected diagnostic tools were the (i) EROS-CLINICAL, with only clinical parameters, which was suitable as an initial assessment for athletes suspected of OTS; (ii) EROS-SIMPLIFIED, with clinical parameters and basal hormones, when the EROS-CLINICAL was inconclusive; and (iii) EROS-COMPLETE, with basal and hormonal responses to stimulation tests, which was valuable for population-based screening, research purposes, and unusual presentations of OTS. CONCLUSION: We identified innovative tools with 100% accuracy for the diagnosis of OTS, without the need to exclude confounding disorders.

12.
BMC Endocr Disord ; 19(1): 117, 2019 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-31675953

RESUMO

BACKGROUND: Exercise is known to induce multiple beneficial conditioning processes. Conversely, although exercise may generate several hormonal effects, an intrinsic hormonal conditioning process has not been reported. In the Endocrine and Metabolic Responses on Overtraining Syndrome (EROS) study, we observed inherent and independent conditioning processes of the hypothalamic-pituitary axes in athletes. Our objective is to describe the theory of the novel hormonal conditioning mechanism using the findings from the EROS study. METHODS: In this cross-sectional study, we selected 25 healthy athletes (ATL) and 12 non-physically active healthy controls (NPAC), 18-50 years old, males, with BMI 20-30 kg/m2, with similar baseline characteristics, who underwent gold-standard exercise-independent tests: cosyntropin stimulation test (CST) and insulin tolerance test (ITT), to evaluate cortisol response to CST, and ACTH, cortisol, GH, and prolactin responses to an ITT. RESULTS: Responses to ITT were significantly earlier and higher in ATL than NPAC for cortisol [Mean ± SD: 21.7 ± 3.1 vs 16.9 ± 4.1 µg/dL; p < 0.001], GH [Median (95% CI): 12.73 (1.1-38.1) vs 4.80 (0.33-27.36) µg/L; p = 0.015], and prolactin [24.3 (10.5-67.45) vs 10.50 (6.21-43.44) ng/mL; p = 0.002]. Cortisol response to CST was similar between ATL and NPAC. During ITT, cortisol, GH, and ACTH mean increase in ATL were 52.2, 265.2, and 18.6% higher than NPAC, respectively. Prolactin response was absent in NPAC, while present in ATL. CONCLUSIONS: We found sufficient evidence to propose the existence of a diffuse enhancement of the hypothalamic-pituitary activity in athletes, not restricted to any axis, showing an intrinsic and independent process of "hormonal conditioning" in athletes, similar to those observed in the cardiovascular and neuromuscular systems. This novel conditioning process may be the missing link for understanding the improved responses observed in athletes to harmful situations, traumas, infections, inflammations, and psychiatric conditions.


Assuntos
Atletas/estatística & dados numéricos , Cosintropina/administração & dosagem , Exercício Físico , Hidrocortisona/metabolismo , Sistema Hipotálamo-Hipofisário/metabolismo , Insulina/administração & dosagem , Sistema Hipófise-Suprarrenal/metabolismo , Adolescente , Adulto , Estudos Transversais , Teste de Esforço , Feminino , Hormônios/administração & dosagem , Humanos , Hipoglicemiantes/administração & dosagem , Sistema Hipotálamo-Hipofisário/efeitos dos fármacos , Masculino , Pessoa de Meia-Idade , Sistema Hipófise-Suprarrenal/efeitos dos fármacos , Prolactina/metabolismo , Adulto Jovem
13.
J Athl Train ; 54(8): 906-914, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31386577

RESUMO

CONTEXT: Overtraining syndrome (OTS) and related conditions cause decreased training performance and fatigue through an imbalance among training volume, nutrition, and recovery time. No definitive biochemical markers of OTS currently exist. OBJECTIVE: To compare muscular, hormonal, and inflammatory parameters among OTS-affected athletes, healthy athletes, and sedentary controls. DESIGN: Cross-sectional study. SETTING: Laboratory. PATIENTS OR OTHER PARTICIPANTS: Fifty-one men aged 18 to 50 years (14 OTS-affected athletes [OTS group], 25 healthy athletes [ATL group], and 12 healthy sedentary participants [NCS group]), with a body mass index of 20 to 30.0 kg/m2 (sedentary) or 20 to 33.0 kg/m2 (athletes), recruited through social media. All 39 athletes performed both endurance and resistance sports. MAIN OUTCOME MEASURE(S): We measured total testosterone, estradiol, insulin-like growth factor 1, thyroid-stimulating hormone, free thyronine, total and fractioned catecholamines and metanephrines, lactate, ferritin, creatinine, creatine kinase, erythrocyte sedimentation rate, C-reactive protein, lipid profile, hemogram, and testosterone : estradiol, testosterone : cortisol, neutrophil : lymphocyte, platelet: lymphocyte, and catecholamine : metanephrine ratios. Each parameter was statistically analyzed through 3-group comparisons, and whenever P < .05, pairwise comparisons were performed (OTS × ATL, OTS × NCS, and ATL × NCS). RESULTS: Neutrophils and testosterone were lower in the OTS group than in the ATL group but similar between the OTS and NCS groups. Creatine kinase, lactate, estradiol, total catecholamines, and dopamine were higher in the OTS group than in the ATL and NCS groups, whereas the testosterone : estradiol ratio was lower, even after adjusting for all variables. Lymphocytes were lower in the ATL group than in the OTS and NCS groups. The ATL and OTS groups trained with the same intensity, frequency, and types of exercise. CONCLUSIONS: At least in males, OTS was typified by increased estradiol, decreased testosterone, overreaction of muscle tissue to physical exertion, and immune system changes, with deconditioning effects of the adaptive changes observed in healthy athletes.


Assuntos
Estradiol/sangue , Exercício Físico/fisiologia , Fadiga , Esportes/fisiologia , Adaptação Fisiológica , Adulto , Atletas , Biomarcadores/análise , Biomarcadores/sangue , Estudos Transversais , Transtornos Traumáticos Cumulativos/complicações , Teste de Esforço/métodos , Fadiga/etiologia , Fadiga/imunologia , Fadiga/metabolismo , Fadiga/fisiopatologia , Humanos , Testes Imunológicos/métodos , Masculino , Pessoa de Meia-Idade , Distúrbios Nutricionais/complicações , Esportes/classificação , Testosterona/sangue
14.
BMJ Open Sport Exerc Med ; 5(1): e000542, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31297238

RESUMO

BACKGROUND: Excessive training and inadequate recovery could cause 'overtraining syndrome' (OTS), which is characterised by underperformance and fatigue. The pathophysiology of OTS is unclear. We aimed to describe novel mechanisms and risk factors associated with OTS, and thereby facilitate its early identification and prevention, from a comprehensive joint qualitative analysis of the findings from all the four arms of the Endocrine and Metabolic Responses on Overtraining Syndrome (EROS) study. METHODS: We compared the types and proportions of behavioural patterns of 67 evaluated parameters of OTS from 51 participants-athletes with OTS (OTS, n=14), healthy athletes (n=25) and healthy non-physically active controls (n=12). We performed overall and pairwise comparisons for statistically significant differences between the three groups (p<0.05). RESULTS: A total of 44 (65.7%) markers exhibited significant differences between the three groups: 32 (72.7%) showed a loss of the conditioning effect of exercise ('deconditioning'), 7 (15.9%) showed changes exclusive to OTS, 3 (6.8%) maintained the exercise-induced conditioning effects and 2 (4.5%) revealed an exacerbation of the adaptive changes to exercises. CONCLUSION: Our findings suggest that OTS is likely triggered by multiple factors, not restricted to excessive training, resulted from a chronic energy deprivation, leading to multiple losses in the conditioning processes typically observed in healthy athletes, as a combination of 'paradoxical deconditioning' processes, which explains the gradual and marked loss of physical conditioning found in OTS. We, therefore, suggest that the term 'paradoxical deconditioning syndrome' better represents the features of this syndrome.

15.
J Sports Sci ; 37(11): 1296-1307, 2019 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-30786846

RESUMO

The metabolic and hormonal consequences of high-intensity functional training regimens such as CrossFit® (CF) are unclear. Little is known about the triggers and clinical and biochemical features of CF-related overtraining syndrome (OTS). The EROS study compared endocrine and metabolic responses, and eating, social, psychological and body characteristics of OTS-affected (OTS) and healthy athletes (ATL), and non-physically active controls (NPAC). The current study is a post-hoc analysis of the CF subgroups of the EROS study, to evaluate specific characteristics of CF in ATL and OTS. Parameters were overall and pairwise compared among OTS-affected (CF-OTS) and healthy (CF-ATL) athletes that exclusively practiced CF, and NPAC. CF-ATL yielded earlier and enhanced cortisol, GH, and prolactin responses to an insulin tolerance test (ITT), increased neutrophils, lower lactate, increased testosterone, improved sleep quality, better psychological performance, increased measured-to-predicted basal metabolic rate (BMR) ratio and fat oxidation, and better hydration, when compared to NPAC. Conversely, more than 90% of the adaptive changes in CF were lost under OTS, including an attenuation of the hormonal responses to an ITT, increased estradiol, decreased testosterone, and decreased BMR and fat oxidation; the most remarkable trigger of OTS among "HIFT athletes" was the long-term low carbohydrate and calorie intake.


Assuntos
Transtornos Traumáticos Cumulativos/etiologia , Transtornos Traumáticos Cumulativos/metabolismo , Condicionamento Físico Humano/efeitos adversos , Condicionamento Físico Humano/métodos , Adolescente , Adulto , Afeto/fisiologia , Biomarcadores/metabolismo , Fenômenos Biomecânicos , Catecolaminas/urina , Transtornos Traumáticos Cumulativos/fisiopatologia , Técnicas de Diagnóstico Endócrino , Estradiol/sangue , Hormônio do Crescimento Humano/sangue , Humanos , Hidrocortisona/análise , Hidrocortisona/sangue , Sistema Hipotálamo-Hipofisário/fisiologia , Insulina/sangue , Ácido Láctico/sangue , Masculino , Pessoa de Meia-Idade , Sistema Hipófise-Suprarrenal/fisiologia , Prolactina/sangue , Saliva/química , Sono/fisiologia , Testosterona/sangue , Adulto Jovem
16.
Artigo em Inglês | MEDLINE | ID: mdl-31920971

RESUMO

Objectives: The Endocrine and Metabolic Responses on Overtraining Syndrome (EROS) study identified multiple hormonal and metabolic conditioning processes in athletes, and underlying mechanisms and biomarkers of overtraining syndrome (OTS). The present study's objective was to reveal independent predictors and linear correlations among the parameters evaluated in the EROS study to predict clinical, metabolic, and biochemical behaviors in healthy and OTS-affected male athletes. Methods: We used multivariate linear regression and linear correlation to analyze possible combinations of the 38 parameters evaluated in the EROS study that revealed significant differences between healthy and OTS-affected athletes. Results: The testosterone-to-estradiol (T:E) ratio predicted the measured-to-predicted basal metabolic rate (BMR) ratio; the T:E ratio and total testosterone level were inversely predicted by fat mass and estradiol was not predicted by any of the non-modifiable parameters. Early and late growth hormone, cortisol, and prolactin responses to an insulin tolerance test (ITT) were strongly correlated. Hormonal responses to the ITT were positively correlated with fat oxidation, predicted-to-measured BMR ratio, muscle mass, and vigor, and inversely correlated with fat mass and fatigue. Salivary cortisol 30 min after awakening and the T:E ratio were inversely correlated with fatigue. Tension was inversely correlated with libido and directly correlated with body fat. The predicted-to-measured BMR ratio was correlated with muscle mass and body water, while fat oxidation was directly correlated with muscle mass and inversely correlated with fat mass. Muscle mass was directly correlated with body water, and extracellular water was directly correlated with body fat and inversely correlated with body water and muscle mass. Conclusions: Hypothalamic-pituitary responses to stimulation were diffuse and indistinguishable between the different axes. A late hormonal response to stimulation, increased cortisol after awakening, and the T:E ratio were correlated with vigor and fatigue. The T:E ratio was also correlated with body metabolism and composition, testosterone was predicted by fat mass, and estradiol predicted anger. Hydration status was inversely correlated with edema, and inter-correlations were found among fat oxidation, hydration, and body fat.

17.
J Sports Sci ; 36(16): 1902-1910, 2018 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-29313445

RESUMO

Overtraining syndrome (OTS) is caused by an imbalance between training, nutrition and resting, and leads to decreased performance and fatigue; however, the precise underlying triggers of OTS remain unclear. This study investigated the body composition, metabolism, eating, sleeping patterns and mood states among participants with OTS. Selected participants were divided into OTS-affected athletes (OTS, n = 14), healthy athletes (ATL, n = 25), and healthy non-physically active controls (NCS, n = 12). Compared to ATL, OTS showed decreased sleep quality (p = 0.004); increased duration of work or study (p < 0.001); decreased libido (p = 0.024); decreased calorie (p < 0.001), carbohydrate (p < 0.001) and protein (p < 0.001) intakes; decreased mood states (p < 0.001); decreased basal metabolic rate (p = 0.013) and fat burning (p < 0.001); increased body fat (p = 0.006); decreased muscle mass (p = 0.008); and decreased hydration (p < 0.001). Levels were similar between OTS and NCS, except for worsened fatigue (p < 0.001) and vigour (p = 0.001) in OTS. Reduced calorie intake, worsened sleep, and increased cognitive activity are likely OTS triggers. OTS appears to induce dehydration, increase body fat, decrease libido, and worsen mood.


Assuntos
Composição Corporal , Transtornos Traumáticos Cumulativos/fisiopatologia , Transtornos Traumáticos Cumulativos/psicologia , Metabolismo Energético , Comportamento Alimentar , Sono , Afeto , Ingestão de Energia , Fadiga/etiologia , Humanos , Fenômenos Fisiológicos da Nutrição Esportiva
18.
J Sci Med Sport ; 21(7): 648-653, 2018 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-29157780

RESUMO

OBJECTIVES: Overtraining syndrome (OTS) leads to worsened sports performance and fatigue. The pathophysiology of OTS has not been entirely elucidated, and there is a lack of accurate markers for its diagnosis. Changes in hormonal responses implicated in OTS were stimulated by exercise, which has limited their interpretation. Hence, we aimed to evaluate growth hormone (GH) and prolactin responses to a gold-standard and exercise-independent stimulation test, the insulin tolerance test (ITT). DESIGN: Volunteers were recruited and divided into OTS-affected athletes (OTS), healthy athletes (ATL), and healthy non-active subjects (NCS) groups, after general and specific inclusion and exclusion criteria. METHODS: We evaluated the responses of growth hormone (GH) and prolactin to the ITT, and compared between groups. RESULTS: A total of 51 subjects were included (OTS, n=14, ATL, n=25, and NCS, n=12). OTS disclosed significantly lower basal levels of GH (p=0.003) and prolactin (p=0.048), and GH (p=0.001) and prolactin (p<0.001) responses to ITT (p=0.001), compared to ATL, but similar to NCS. OTS showed a later rise in GH levels in response to hypoglycemia, compared to ATL, but not to NCS. We suggest cutoffs for GH and prolactin levels to aid in the diagnosis of OTS. CONCLUSIONS: OTS-affected athletes show reduced GH and prolactin basal levels and responses to a non-exercise stress test compared to healthy athletes, but not to sedentary subjects.


Assuntos
Fadiga/fisiopatologia , Hormônio do Crescimento/sangue , Condicionamento Físico Humano/efeitos adversos , Prolactina/sangue , Adulto , Atletas , Estudos de Casos e Controles , Teste de Esforço , Humanos , Hipoglicemia/sangue , Insulina/administração & dosagem , Masculino
19.
Sports Med Open ; 3(1): 45, 2017 Dec 08.
Artigo em Inglês | MEDLINE | ID: mdl-29222606

RESUMO

BACKGROUND: Overtraining syndrome (OTS) results from excessive training load without adequate recovery and leads to decreased performance and fatigue. The pathophysiology of OTS in athletes is not fully understood, which makes accurate diagnosis difficult. Previous studies indicate that alterations in the hypothalamus-pituitary-adrenal (HPA) axis may be responsible for OTS; however, the data is not conclusive. This study aimed to compare, through gold standard and exercise-independent tests, the response of the HPA axis in OTS-affected athletes (OTS group) to healthy physically active subjects (ATL group) and healthy non-active subjects (NCS group). METHODS: Selected subjects were evaluated for cortisol response to a 250-µg cosyntropin stimulation test (CST), cortisol and adrenocorticotropic hormone (ACTH) responses during an insulin tolerance test (ITT), and salivary cortisol rhythm (SCR). RESULTS: A total of 51 subjects were included (OTS, n = 14; ATL, n = 25; and NCS, n = 12). Cortisol response in the CST was similar among the three groups. Conversely, mean cortisol response during an ITT was significantly higher in ATL (21.7 µg/dL; increase = 9.2 µg/dL) compared to OTS (17.9 µg/dL; 6.3 µg/dL) and NCS (16.9 µg/dL; 6.0 µg/dL) (p ≤ 0.001; p = 0.01). Likewise, median ACTH response during an ITT was significantly higher in ATL (91.4 pg/mL; increase = 45.1 pg/mL) compared to OTS (30.3 pg/mL; 9.7 pg/mL) and NCS (51.4 pg/mL; 38.0 pg/mL) (p = 0.006; p = 0.004). For SCR, mean cortisol 30 min after awakening was significantly higher in ATL (500 ng/dL) compared to OTS (323 ng/dL) and NCS (393 ng/dL) (p = 0.004). We identified the following cutoffs that could help exclude or confirm OTS: cortisol level at 30 min after awakening (exclusion = > 530 ng/dL); cortisol response to ITT (exclusion = > 20.5 µg/dL; confirmation = < 17 µg/dL or increase < 9.5 µg/dL); and ACTH response (exclusion = > 106 pg/mL or increase > 70 pg/mL; confirmation = < 35 pg/mL and increase < 14.5 pg/mL). CONCLUSION: The findings of the present study showed that healthy athletes disclose adaptions to exercises that helped improve sport-specific performance, whereas this sort of hormonal conditioning was at least partially lost in OTS, which may explain the decrease in performance in OTS.

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