Comparing metabolic profiles between female endurance athletes and non-athletes reveals differences in androgen and corticosteroid levels

Tarkhan, Amneh H.; Anwardeen, Najeha; Sellami, Maha; Donati, Francesco; Botrè, Francesco; Torre, Xavier de la; Elrayess, Mohamed A.

doi:10.1016/j.jsbmb.2022.106081

Cited by 6 publications

(18 citation statements)

References 69 publications

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“…The utilization of this non‐targeted approach allowed the assessment of samples from multiple different sports (athletics, boxing, rowing, cycling, kayaking, swimming, hockey and tennis), to confirm that elite female endurance athletes have a distinct steroid hormone profile which may be relevant to doping control investigations. Aside from the doping angle, female athletes are at high risk of developing relative energy deficiency in sport 99 with or without disordered eating, which may increase the risk of hormone deficiency 100 which was identified in this study as a potential scenario due to lower steroid hormone levels in the elite population 97 …”

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 96%

“…(C) Loadings plot corresponding to the OPLS‐DA model showing the influence of steroid hormones classes (notably androgenic steroids) on differences in profiles between elite female athletes and non‐athletic controls. Adapted with permission from Tarkhan et al 97 . (Copyright 2022 The Authors, CC‐BY).…”

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

“…25,26,28,40,52,53 In 2022, 18 studies used a traditional non-targeted metabolomics assay. 18,24,30,[83][84][85][86][87][88][89][90][91][92][93][94][95][96][97] Perhaps the most thought-provoking exercise metabolomics publication from 2022 came from the Long Lab at Stanford University and was published in Nature. This study identified an exercise-induced metabolite, namely N-lactoylphenylalanine (Lac-Phe), to be associated with reduced dietary intake.…”

Section: Metabolomicsmentioning

confidence: 99%

“…In 2022, 18 studies used a traditional non‐targeted metabolomics assay 18,24,30,83–97 . Perhaps the most thought‐provoking exercise metabolomics publication from 2022 came from the Long Lab at Stanford University and was published in Nature .…”

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

“…However, there is a need to better understand the discriminating metabolic changes in steroid hormones that are unrelated to doping, as well as gain a better understanding of steroid profiles and dynamics in transgender athletes and those with differences in sexual development. One study that recently investigated this area used an MS‐based metabolomic approach to investigate metabolic differences between female elite endurance athletes and non‐athletic control participants 97 . From this non‐targeted approach, the authors identified that elite athletes had reduced levels of androgenic, pregnenolone, and progestin hormones, with elevated corticosteroid levels when compared to non‐athletic individuals (Figure 5).…”

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

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Mass Sportrometry: An annual look back at applications of mass spectrometry in sport and exercise science

Ong

Green

Rowland

et al. 2023

Analytical Science Advances

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Research in sport and exercise science (SES) is reliant on robust analyses of biomarker measurements to assist with the interpretation of physiological outcomes. Mass spectrometry (MS) is an analytical approach capable of highly sensitive, specific, precise, and accurate analyses of a range of biomolecules, many of which are of interest in SES including, but not limited to, endogenous metabolites, exogenously administered compounds (e.g. supplements), mineral ions, and circulating/tissue proteins. This annual review provides a summary of the applications of MS across studies investigating aspects related to sport or exercise in manuscripts published, or currently in press, in 2022. In total, 93 publications are included and categorized according to their methodologies including targeted analyses, metabolomics, lipidomics, proteomics, and isotope ratio/elemental MS. The advantageous analytical opportunities afforded by MS technologies are discussed across a selection of relevant articles. In addition, considerations for the future of MS in SES, including the need to improve the reporting of assay characteristics and validation data, are discussed, alongside the recommendation for selected current methods to be superseded by MS‐based approaches where appropriate. The review identifies that a targeted, mostly quantitative, approach is the most commonly applied MS approach within SES, although there has also been a keen interest in the use of ‘omics’ to perform hypothesis‐generating research studies. Nonetheless, MS is not commonplace in SES at this time, but its use to expand, and possibly improve, the analytical options should be continually considered to exploit the benefits of analytical chemistry in exercise/sports‐based research. Overall, it is exciting to see the gradually increasing adoption of MS in SES and it is expected that the number, and quality, of MS‐based assays in SES will increase over time, with the potential for 2023 to further establish this technique within the field.

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Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 96%

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

Section: Metabolomicsmentioning

confidence: 99%

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

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Mass Sportrometry: An annual look back at applications of mass spectrometry in sport and exercise science

Ong

Green

Rowland

et al. 2023

Analytical Science Advances

View full text Add to dashboard Cite

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Immunometabolic and Vascular Health Responses among High Endurance Trained Subjects

Fonseca,

Bittencourt,

Monteiro

et al. 2023

Int J Sports Med

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We aimed to examine the impact of high endurance training on vascular health parameters and immune-endocrine responses against modified low-density lipoprotein (LDL) particles. This observational, cross-sectional study included high endurance-trained and healthy non-trained subjects. Vascular ultrasound was used to assess vascular health parameters based on carotid intima-media thickness and endothelial function (flow-mediated dilation). Enzyme-linked immunosorbent assays were used to measure interleukin (IL)-8 and IL-10, autoantibody isotypes anti-oxidized LDL (oxLDL) and anti-apolipoprotein B (ApoB-D) peptide. Plasma levels of the corticosterone and 17 α-hydroxyprogesterone hormones were analyzed by mass spectrometry. This study enrolled 96 subjects, of whom 44 were high endurance-trained and 52 were healthy non-trained individuals. Smaller carotid intima-media thickness values were observed in the high-endurance trained than in the healthy non-trained males, while no differences were observed between female groups. Flow-mediated dilation measurements did not differ by training or sex. The humoral immune responses to IgG anti-oxLDL and IgM anti-ApoB-D autoantibodies showed an isotype imbalance between the high-endurance trained and the non-trained groups. Immunoendocrine parameters showed inverse correlations between 17 α-hydroxyprogesterone concentrations and carotid intima-media thickness measurements. Direct correlations were found between IL-10 concentrations and flow-mediated dilation measurements. Chronic high-endurance exercise modulates immune-endocrine and vascular health parameters, in a sex-dependent manner.

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Mendelian randomization analysis of the causal relationship between serum metabolites and thoracic aortic aneurysm

Tong,

Cui

2024

Medicine

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Thoracic aortic aneurysm (TAA) is associated with changes in the levels of metabolites; however, the exact causal relationships remain unclear. Identifying this complex relationship may provide new insights into the pathogenesis of TAA. We used genome-wide association studies to investigate the relationship between metabolites and TAA in this study. A total of 1400 serum metabolites were investigated for their potential causal effects on the risk of TAA. We performed bidirectional and 2-sample Mendelian randomization (MR) analysis using 5 MR tests: MR-Egger, weighted mode, weighted median, inverse variance weighted (IVW), and simple mode. We also performed sensitivity analysis to verify our findings, including heterogeneity analysis using IVW and MR-Egger tests and pleiotropy analysis using the MR-Egger test. Multiple metabolites were identified as having a causal effect on the risk of TAA, particularly those related to lipid metabolites; the top 2 risk factors identified using the IVW test were 3-carboxy-4-methyl-5-pentyl-2-furanpropionate (P = .019) and 5alpha-androstan-3alpha,17alpha-diol (P = .021), whereas the 2 top protective factors were 1-stearoyl-2-docosahexaenoyl-gpc (P = .023) and 1-oleoyl-2-docosahexaenoyl-GPC (P = .005). Sensitivity analysis verified the lack of heterogeneity (P = .499, .584, .232, and .624, respectively; IVW test) or pleiotropy (P = .621, .483, .598, and .916, respectively; Egger test). Our study provides new evidence of a causal relationship between metabolites and the risk of TAA, thus providing new insights into the pathogenesis of this disease. These findings suggest a promising approach for metabolite-based therapeutic interventions.

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Comparing metabolic profiles between female endurance athletes and non-athletes reveals differences in androgen and corticosteroid levels

Cited by 6 publications

References 69 publications

Mass Sportrometry: An annual look back at applications of mass spectrometry in sport and exercise science

Mass Sportrometry: An annual look back at applications of mass spectrometry in sport and exercise science

Immunometabolic and Vascular Health Responses among High Endurance Trained Subjects

Mendelian randomization analysis of the causal relationship between serum metabolites and thoracic aortic aneurysm

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