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Background: Exercise can be used as a model to understand immunometabolism. Biological data on elite athletes are limited, especially for female athletes, including relevant data on acute-phase proteins and amino acid metabolism. Methods: We analyzed acute-phase proteins and amino acids collected at South American, Pan-American, and Olympic Games for 16 Olympic sports. We compared female and male elite athletes (447 vs. 990 samples) across four states (fasting, pre-exercise, post-exercise, and resting) to understand sex-specific immunometabolic responses in elite athletes. Results: Considering all states and sports, we found that elite female athletes exhibited higher concentrations of C-reactive protein, lipopolysaccharide-binding protein, myeloperoxidase, haptoglobin, and IGF1, with ratios ranging from 1.2 to 2.0 (p < 0.001). Women exhibited lower concentrations of most amino acids, except for glutamate and alanine. Although almost 30% lower in women, branched-chain amino acids (BCAAs) showed a similar pattern in all states (ρ ≥ 0.9; p < 0.001), while aromatic amino acids (AAAs) showed higher consumption during exercise in women. Conclusion: We established sex dimorphism in elite athletes' metabolic and inflammatory responses during training and competition. Our data suggest that female athletes present a lower amino acid response towards central fatigue development than male athletes. Understanding these differences can lead to insights into sex-related immuno-metabolic responses in sports or other inflammatory conditions. [ABSTRACT FROM AUTHOR]

Background: Hypothyroidism reduces circulating levels of thyroid hormones metabolic enzymatic activities, and the skeletal muscle's work capacity and lactatemia increase during exertion. Objectives: To analyze salivary biomarkers and blood lactate obtained in exercise stages through exhaustion and investigate their correlation. Methods: Eight females attended the University Clinical Hospital who showed a condition of subclinical hypothyroidism. Before they began replacing with L-thyroxine, they were submitted to an ergometric test to check their tolerance to effort. Eight weeks after treatment, all volunteers were again submitted to lab and ergometric tests. Saliva and blood were collected to determine total protein, nitric oxide, IgA, lactate, and lipid profile. Results: The present study identified a correlation (0.8), so the behavior of the blood lactate could explain the behavior of the salivary of total proteins by 74.22% (R2 = 0.7422). Lactate production was minimized when women underwent L-thyroxine treatment in the first six stages of exercise. Still, total salivary proteins increased for pharmacotherapy between stages 1 and 8. While salivary nitric oxide had a percentage variation between pre- and post-exercise times of 96% before the start of treatment when the same exercise was performed after eight weeks of treatment with L-Thyroxine, this variation was 150%. Conclusion: The measurement of STP is an essential marker of stress, and it is highly correlated with the most used blood marker, lactate. Regarding treatment with L-Thyroxine in women with subclinical hypothyroidism, after eight weeks of this therapy, it was possible to observe a reduction in blood lactate production after the incremental load test on a cycle ergometer, accompanied by a reduction in the concentration of SA. SNO and SIgA tended to increase in women undergoing treatment, and this treatment should be considered in subsequent studies as causing a different effect on these markers.

Immunometabolism emerges as the target for future research in health and exercise sciences. The impact caused by a treadmill running test on different biomarkers, changes in the cardiovascular system, and the correlation between IL-12 and performance. Ten male high-performance athletes performed using a gas analyzer, and the treadmill exercise protocol was progressively increased until exhaustion. The athletes ran an average distance of 3 km, characterized by a gradual load increase in stages until voluntary exhaustion. Thus, the initial speed was 10 km/h with an increment of 1 km every 400 meters. Correlation of 1.0 (P=0.00278) between IL-12 and VO2 in the respiratory compensation time and of 0.943 (P=0 .0167) between pre-exercise IL-12 and the time to reach maximal effort, with the same correlation and P-value between pre-exercise IL-12 and the distance covered, and pre-exercise IL-12 and the test time. Post-exercise IL-12 presented a correlation of 0.9 (P=0.0167) with the heart rate of the respiratory compensation point. A breakpoint for both the double product and heart rate was observed between minutes 2 and 3 of the test, both measurements being more acute than the anaerobic threshold and the respiratory compensation point, and even that breakpoint for systolic blood pressure. The average percentage change in heart rate and the double product obtained the same value (213%). The heart rate and the double product breakpoint are sensitive and acute markers of stress level, and the production of IL-12 depends on the intensity and duration of the exercise, which may correlate with performance. [ABSTRACT FROM AUTHOR]

This article explores the progressive integration of -omics methods, including genomics, metabolomics, and proteomics, into sports research, highlighting the development of the concept of "sportomics." We discuss how sportomics can be used to comprehend the multilevel metabolism during exercise in real-life conditions faced by athletes, enabling potential personalized interventions to improve performance and recovery and reduce injuries, all with a minimally invasive approach and reduced time. Sportomics may also support highly personalized investigations, including the implementation of n-of-1 clinical trials and the curation of extensive datasets through long-term follow-up of athletes, enabling tailored interventions for athletes based on their unique physiological responses to different conditions. Beyond its immediate sport-related applications, we delve into the potential of utilizing the sportomics approach to translate Big Data regarding top-level athletes into studying different human diseases, especially with nontargeted analysis. Furthermore, we present how the amalgamation of bioinformatics, artificial intelligence, and integrative computational analysis aids in investigating biochemical pathways, and facilitates the search for various biomarkers. We also highlight how sportomics can offer relevant information about doping control analysis. Overall, sportomics offers a comprehensive approach providing novel insights into human metabolism during metabolic stress, leveraging cutting-edge systems science techniques and technologies. [ABSTRACT FROM AUTHOR]

Purpose: High cardiorespiratory capacity is a key determinant of human performance and life expectancy; however, the underlying mechanisms are not fully understood. The objective of this pilot study was to investigate biochemical signatures of endurance-performance athletes using high-resolution nontargeted metabolomics. Methods: Elite long-distance runners with similar training and anthropometrical records were studied. After athletes' maximal oxygen consumption ( V ˙ O 2 max) was measured, they were divided into 2 groups: low V ˙ O 2 max (<65 mL·kg−1·min−1, n = 7) and high V ˙ O 2 max (>75 mL·kg−1·min−1, n = 7). Plasma was collected under basal conditions after 12 hours of fasting and after a maximal exercise test (nonfasted) and analyzed by high-resolution LC–MS. Multivariate and univariate statistics were applied. Results: A total of 167 compounds were putatively identified with an LC–MS-based metabolomics pipeline. Partial least-squares discriminant analysis showed a clear separation between groups. Significant variations in metabolites highlighted group differences in diverse metabolic pathways, including lipids, vitamins, amino acids, purine, histidine, xenobiotics, and others, either under basal condition or after the maximal exercise test. Conclusions: Taken together, the metabolic alterations revealed in the study affect cellular energy use and availability, oxidative stress management, muscle damage, central nervous system signaling metabolites, nutrients, and compound bioavailability, providing new insights into metabolic alterations associated with exercise and cardiorespiratory fitness levels in trained athletes. [ABSTRACT FROM AUTHOR]

The present study aimed to investigate the possible correlations between the cytokine and adipokine Tumour Necrosis Factor Alpha with parameters of body composition and lipid metabolism in young, high-level athletes after an incremental treadmill test observed in a sample of five individuals, male, high-level running athletes who the difficulty of treating large databases with different individuals, multiple biomarkers, and collection times, in addition to physical parameters and sample characteristics, added to the decrease in new findings induced by the application of statistical tools of univariate analysis, indicate the need to apply exploratory machine learning strategies, generating holistic and integrated analysis of the results. The present study showed a negative correlation between TNF and HDL and a similarity between the same TNF and LDL. These findings do not indicate a cause-and-effect relationship but suggest a possible modulation of the immune system, lipid metabolism, and exercise that requires further investigation. [ABSTRACT FROM AUTHOR]

Sportomics studies are essential to understand the impact on metabolism exerted by each training method and sport. To observe the impact on biomarkers induced by four exercises: CrossCombat™, Jiu-Jitsu, Parajiu-Jitsu, and a spirometric treadmill test. 41 adult male, 12 Jiu-Jitsu, 03 ParaJiu-Jitsu, 16 Mixed Martial Arts, and ten running athletes. The percentage variation of 772% (Lactate) in the Parajiu Jitsu is noteworthy. An increase in creatininemia was only in Jiu-Jitsu. The percentage variations in the Anion Gap had a positive behavior, but with different amplitudes, so that the treadmill running test caused a variation of 187.1%, followed by Parajiu Jitsu 157.9%, 64.3% for the HIFT, even with 40 minutes of duration and only 42.8% for the Jiu-Jitsu. More significant stress to the acid-base balance caused by ParaJiu Jitsu to lactate, sodium, potassium, and bicarbonate, leading to an anion gap change close to the running test. It is noteworthy that even the CCombat using fighting movements combined with running and jumping generated smaller percentage variations in hematocrit, lactate, glucose, potassium, bicarbonate, and anion gap, putting it as a safe method from a metabolic point of view, even with a total duration much longer than the other sports studied. [ABSTRACT FROM AUTHOR]

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Purpose: The study aimed to assess the metabolic impact of elite Brazilian U-20 players using the rating of perceived exertion scale (RPE) to discriminate metabolomics sensitivity post-two soccer games separated by a short recovery interval. Methods: Urine was collected immediately and then 20 h after two soccer matches of elite Brazilian U-20 players. RPE was collected after games. The spectra were pre-processed using TopSpin®3.2 software. Chenomx®software was used to identify metabolites in the urine through the available database. Results: The results showed that the metabolic pathways related to energy production, cellular damage, and organic stresses were changed immediately after the game. 20 h after the games, antioxidant and anti-inflammatory pathways related to cell recovery were identified (e.g., gallic acid, ascorbate, and betaine). The matrix of positive correlations between metabolites was more predominant and stronger after game 2 than game 1. T-distribution registered metabolites discriminated below and above 7 on the RPE scale. Athletes with higher RPE values showed a high metabolite profile related to muscle damage (e.g., creatine, creatinine, and glycine) and energy production (e.g., creatine, formate, pyruvate, 1,3 dihydroxyacetone) 20 h post-soccer match. There was a different metabolic profile between athletes with higher and lower RPE values. Conclusion: Metabolomics analysis made it possible to observe the metabolic impacts of energy production and muscular damage. RPE identified internal load changes within the group as a result of match intensity in soccer. The correlation matrix indicated a greater predominance of positive and strong correlations between metabolites in the second game compared to the first game. [ABSTRACT FROM AUTHOR]

Metabolomics is a promising tool for studying exercise physiology and exercise-associated metabolism. It has recently been defined with the term “sportomics” due to metabolomics’ capability to characterize several metabolites in several biological samples simultaneously. This narrative review on exercise metabolomics provides an initial and brief overview of the different metabolomics technologies, sample collection, and further processing steps employed for sport. It also discusses the data analysis and its biological interpretation. Thus, we do not cover sample collection, preparation, and analysis paragraphs in detail here but outline a general outlook to help the reader to understand the metabolomics studies conducted in team-sports athletes, alongside endeavoring to recognize existing or emergent trends and deal with upcoming directions in the field of exercise metabolomics in a team-sports setting.

Gut microbiota and exercise have recently been shown to be interconnected. Both moderate and intense exercise are typically part of the training regimen of endurance athletes, but they exert different effects on health. Moderate exercise has positive effects on the health of average athletes, such as a reduction in inflammation and intestinal permeability and an improvement in body composition. It also induces positive changes in the gut microbiota composition and in the microbial metabolites produced in the gastrointestinal tract. Conversely, intense exercise can increase gastrointestinal epithelial wall permeability and diminish gut mucus thickness, potentially enabling pathogens to enter the bloodstream. This, in turn, may contribute to the increase in inflammation levels. However, elite athletes seem to have a higher gut microbial diversity, shifted toward bacterial species involved in amino acid biosynthesis and carbohydrate/fiber metabolism, consequently producing key metabolites such as short-chain fatty acids. Moreover, rodent studies have highlighted a bidirectional relationship, with exercise impacting the gut microbiota composition while the microbiota may influence performance. The present review focuses on gut microbiota and endurance sports and how this interconnection depends upon exercise intensity and training. After pointing out the limits of the studies so far available, we suggest that taking into account the microbiota composition and its metabolic contribution to human host health could help in monitoring and modulating athletes' health and performance. Such an integrated approach should help in the design of microbiome-based solutions for health or performance.

Sportomics is the application of metabolomics in sports to investigate the metabolic effects of physical exercise on individuals, whether they are professional athletes or not. Metabolomics is one of the “omics” sciences that provide a picture of the metabolic state of a person in physiological or pathological conditions. This is achieved through the analysis of metabolites present in a biological fluid, such as saliva, blood, feces, and urine. The authors revised the recent literature concerning this topic and discussed the useful information that sportomics can provide and the limits of the current experimental settings. Furthermore, in the future, sportomics analyses could be used to prevent and manage injuries as it would be known in advance if an athlete is more prone to experience muscular damage or fatigue. Following more trials, it would also be possible to set the best diet and training programs to get the best performances out of the athletes. Moreover, based on their metabolic profiles, both adults and children could choose tailored physical training in order to preserve and improve their health. [ABSTRACT FROM AUTHOR]

Metabolomics is a promising tool for studying exercise physiology and exercise-associated metabolism. It has recently been defined with the term "sportomics" due to metabolomics' capability to characterize several metabolites in several biological samples simultaneously. This narrative review on exercise metabolomics provides an initial and brief overview of the different metabolomics technologies, sample collection, and further processing steps employed for sport. It also discusses the data analysis and its biological interpretation. Thus, we do not cover sample collection, preparation, and analysis paragraphs in detail here but outline a general outlook to help the reader to understand the metabolomics studies conducted in team-sports athletes, alongside endeavoring to recognize existing or emergent trends and deal with upcoming directions in the field of exercise metabolomics in a team-sports setting.

Abstract: Mass Spectrometry Imaging (MSI, also called Imaging Mass Spectrometry) can be used to map molecules according to their chemical abundance and spatial distribution. This technique is not widely used in mass spectrometry circles and is barely known by other scientists. In this review, a brief overview of the mass spectrometer hardware used in MSI and some of the possible applications of this powerful technique are discussed. I intend to call attention to MSI uses from cell biology to histopathology for biological scientists who have little background in mass spectrometry. MSI facts and perspectives are presented from a non-mass spectrometrist point of view. [Copyright &y& Elsevier]