Screening of Potential Stress Biomarkers in Sweat Associated with Sports Training

Maria João Nunes, Cristina M Cordas, José J G Moura, João Paulo Noronha, Luís Cobra Branco, Maria João Nunes, Cristina M Cordas, José J G Moura, João Paulo Noronha, Luís Cobra Branco

Abstract

Background: Intense and continuous physical training in sports is related with psychological and physiological stress, affecting the health and well-being of athletes. The development of non-invasive sampling methodologies is essential to consider sweat as a potential biological fluid for stress biomarker assessment. In the current work, the identification in sweat samples of potential molecules that may be used as stress biomarkers was pursued.

Methods: A sweat pool sample from football players after a 90-min intense training game was studied.

Results: An analysis method using liquid chromatography with detection by tandem mass spectrometry (LC-MSMS) to attain a screening profile of sweat composition is presented. The major focus was on neurotransmitters (e.g. monoamines and metabolites) and other biological molecules related with physical training, such as precursors of biogenic amines (phenylaniline, tyrosine, etc.).

Conclusions: This study allowed the identification of small biomolecules, neurotransmitters and other related molecules in sweat that are potentially associated with stress conditions. The developed methodology intends to contribute to the assessment and study of physical and psychological stress biomarkers related with intense sports using non-invasive methods.

Keywords: Biomarkers; LC-MSMS; Physical training; Stress; Sweat.

Conflict of interest statement

The authors, Maria Nunes, Cristina Cordas, José Moura, João Noronha, and Luís Branco, declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Representation of the identified biomarkers in function of log NL signal

References

    1. Marshall GD., Jr The adverse effects of psychological stress on immunoregulatory balance: applications to human inflammatory diseases. Immunol Allergy Clin North Am. 2011;31(1):133–140. doi: 10.1016/j.iac.2010.09.013.
    1. Wright HE, Selkirk GA, Rhind SG, McLellan TM. Peripheral markers of central fatigue in trained and untrained during uncompensable heat stress. Eur J Appl Physiol. 2012;112(3):1047–1057. doi: 10.1007/s00421-011-2049-2.
    1. Sang-Ho L, Steven DS, Elizabeth JP, Jeong-Gi L, Song-Young P. Improvement of lipids and reduction of oxidative stress with octacosanol after taekwondo training. Int J Sports Physiol Performance. 2019;14(9):1297–1303. doi: 10.1123/ijspp.2018-0704.
    1. Pedlar CR, Newell J, Lewis NA. Blood biomarker profiling and monitoring for high-performance physiology and nutrition: current perspectives, limitations and recommendations. Sports Med. 2019;49:185–98. doi: 10.1007/s40279-019-01158-x.
    1. Araujo NC, Neto AMM, Fujimori M, Bortolini MS, Justino AB, Honorio-França AC, et al. Immune and hormonal response to high-intensity exercise during orienteering. Int J Sports Med. 2019;40(12):768–773. doi: 10.1055/a-0970-9064.
    1. Corrie SR, Coffey JW, Islam J, Markey KA, Kendall MAF. Blood, sweat, and tears: developing clinically relevant protein biosensors for integrated body fluid analysis. Analyst. 2015;140(13):4350–4364. doi: 10.1039/C5AN00464K.
    1. Sato K, Kang WH, Saga K, Sato KT. Biology of sweat glands and their disorders. I. Normal sweat gland function. J Am Acad Dermatol. 1989;20(4):537–563. doi: 10.1016/S0190-9622(89)70063-3.
    1. Weiner JS, Hellmann K. The sweat glands. Biol Rev. 1960;35(2):141–186. doi: 10.1111/j.1469-185X.1960.tb01413.x.
    1. Sato K. The physiology, pharmacology, and biochemistry of the eccrine sweat gland. In: Adrian RH, Helmreich E, Holzer H, Jung R, Kramer K, Krayer O, et al., editors. Reviews of physiology, biochemistry and pharmacology, volume 79. Berlin, Heidelberg: Springer Berlin Heidelberg; 1977. 51-131.
    1. Sato K, Leidal R, Sato F. Morphology and development of an apoeccrine sweat gland in human axillae. Am J Physiol Regul Integr Comp Physiol. 1987;252(1):R166–RR80. doi: 10.1152/ajpregu.1987.252.1.R166.
    1. Sternberg EM, Jia M, inventors; Stress biomarkers and related non-invasive detection methds, international application published under the Patent Cooperation Treaty (PCT), WO/2017/087852. 2017 . Accessed 27 Dec 2020.
    1. Adewole OO, Erhabor GE, Adewole TO, Ojo AO, Oshokoya H, Wolfe LM, et al. Proteomic profiling of eccrine sweat reveals its potential as a diagnostic biofluid for active tuberculosis. Proteomics Clin Appl. 2016;10(5):547–553. doi: 10.1002/prca.201500071.
    1. Raiszadeh MM, Ross MM, Russo PS, Schaepper MA, Zhou W, Deng J, et al. Proteomic analysis of eccrine sweat: implications for the discovery of schizophrenia biomarker proteins. J Proteome Res. 2012;11(4):2127–2139. doi: 10.1021/pr2007957.
    1. Jadoon S, Karim S, Akram MR, Kalsoom AK, Abid Zia M, Siddiqi AR, et al. Recent developments in sweat analysis and its applications. Int J Anal Chem. 2015;2015:1–7. doi: 10.1155/2015/164974.
    1. Scott JM, Samuel NC, Henry CL. Sweat mineral-element responses during 7 h of exercise-heat stress. Int J Sport Nutr Exerc Metab. 2007;17(6):574–582. doi: 10.1123/ijsnem.17.6.574.
    1. Zhang G. Neurotransmitter biomarkers. In: Weng N, Jian W, editors. Targeted Biomarker Quantitation by LC–MS. 2017. pp. 357–370.
    1. Calderón-Santiago M, Priego-Capote F, Jurado-Gámez B, Luque de Castro MD. Optimization study for metabolomics analysis of human sweat by liquid chromatography–tandem mass spectrometry in high resolution mode. J Chromatogr A. 2014;1333:70–78. doi: 10.1016/j.chroma.2014.01.071.
    1. Luque de Castro MD. Sweat as a clinical sample: what is done and what should be done. Bioanalysis. 2015;8(2):85–88. doi: 10.4155/bio.15.229.
    1. Baker LB. Sweating rate and sweat sodium concentration in athletes: a review of methodology and intra/interindividual variability. Sports Medicine. 2017;47(1):111–128. doi: 10.1007/s40279-017-0691-5.
    1. Bovell DL. The evolution of eccrine sweat gland research towards developing a model for human sweat gland function. Exp Dermatol. 2018;27(5):544–550. doi: 10.1111/exd.13556.
    1. Hooton K, Han W, Li L. Comprehensive and quantitative profiling of the human sweat submetabolome using high-performance chemical isotope labeling LC–MS. Anal Chem. 2016;88(14):7378–7386. doi: 10.1021/acs.analchem.6b01930.
    1. Mark H, Harding CR. Amino acid composition, including key derivatives of eccrine sweat: potential biomarkers of certain atopic skin conditions. Int J Cosmetic Sci. 2013;35(2):163–168. doi: 10.1111/ics.12019.
    1. Jia M, Chew WM, Feinstein Y, Skeath P, Sternberg EM. Quantification of cortisol in human eccrine sweat by liquid chromatography – tandem mass spectrometry. Analyst. 2016;141(6):2053–2060. doi: 10.1039/C5AN02387D.
    1. Cannazza G, Carrozzo MM, Cazzato AS, Bretis IM, Troisi L, Parenti C, et al. Simultaneous measurement of adenosine, dopamine, acetylcholine and 5-hydroxytryptamine in cerebral mice microdialysis samples by LC–ESI-MS/MS. J Pharm Biomed Anal. 2012;71:183–186. doi: 10.1016/j.jpba.2012.08.004.
    1. Najmanová V, Rambousek L, Syslová K, Bubeníková V, Šlamberová R, Valeš K, et al. LC-ESI-MS-MS method for monitoring dopamine, serotonin and their metabolites in brain tissue. Chromatographia. 2011;73(1):143–149. doi: 10.1007/s10337-011-1959-9.
    1. Commission Decision of 12 August 2002 iCDE. 2002/657/EC: Commission Decision of 12 August 2002 implementing Council Directive 96/23/EC concerning the performance of analytical methods and the interpretation of results (Text with EEA relevance) (notified under document number C(2002) 3044). 2002/657/EC. Off J Eur Commun. 2002:L221/13–16. On line . Accessed 27 Dec 2020.
    1. Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vázquez-Fresno R, et al. HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2017;46(D1):D608–DD17. doi: 10.1093/nar/gkx1089.
    1. Chomatography RP. Creatine and creatinine in human urine on raptor HILIC-Si by LC-MS/MS: Restek Searchable Chromatogram Library; 2018. . Accessed 27 Dec 2020.
    1. Szultka M, Buszewska-Forajta M, Kaliszan R, Buszewski B. Determination of ascorbic acid and its degradation products by high-performance liquid chromatography-triple quadrupole mass spectrometry. Electrophoresis. 2014;35(4):585–592. doi: 10.1002/elps.201300439.
    1. Al Kadhi O, Melchini A, Mithen R, Saha S. Development of a LC-MS/MS method for the simultaneous detection of tricarboxylic acid cycle intermediates in a range of biological matrices. J Anal Methods Chem. 2017;2017:1–12. doi: 10.1155/2017/5391832.
    1. Jackson TC, Zhang YV, Sime PJ, Phipps RP, Kottmann RM. Development of an accurate and sensitive method for lactate analysis in exhaled breath condensate by LC MS/MS. J Chromatogr B. 2017;1061-1062:468–473. doi: 10.1016/j.jchromb.2017.07.041.
    1. Lee HS, Lee JM, Park S-Y, Lee JH, Kim YG. Development and validation of primary method for the determination of glucose in human serum by isotope dilution liquid chromatography tandem mass spectrometry and comparison with field methods. Bull Korean Chem Soc. 2013;34(6):1698–1702. doi: 10.5012/bkcs.2013.34.6.1698.
    1. Callewaert C, Buysschaert B, Vossen E, Fievez V, Van de Wiele T, Boon N. Artificial sweat composition to grow and sustain a mixed human axillary microbiome. J Microbiol Methods. 2014;103:6–8. doi: 10.1016/j.mimet.2014.05.005.
    1. Steckl AJ, Ray P. Stress biomarkers in biological fluids and their point-of-use detection. ACS Sensors. 2018;3(10):2025–2044. doi: 10.1021/acssensors.8b00726.
    1. Annesley TM. Ion Suppression in Mass Spectrometry. Clin Chem. 2020;49(7):1041–1044. doi: 10.1373/49.7.1041.
    1. Wessler I, Kirkpatrick CJ, Racké K. Non-neuronal acetylcholine, a locally acting molecule, widely distributed in biological systems: expression and function in humans. Pharmacol Ther. 1998;77(1):59–79. doi: 10.1016/S0163-7258(97)00085-5.
    1. Layland J, Carrick D, Lee M, Oldroyd K, Berry C. Adenosine: physiology, pharmacology, and clinical applications. JACC Cardiovasc Interv. 2014;7(6):581–591. doi: 10.1016/j.jcin.2014.02.009.
    1. Daniel PM, Moorhouse SR, Pratt OE. Amino acid precursors of monoamine neurotransmitters and some factors influencing their supply to the brain. Psychol Med. 1976;6(2):277–286. doi: 10.1017/S0033291700013830.
    1. Tang Y-M, Wang D-G, Li J, Li X-H, Wang Q, Liu N, et al. Relationships between micronutrient losses in sweat and blood pressure among heat-exposed steelworkers. Industrial Health. 2016;54(3):215–223. doi: 10.2486/indhealth.2014-0225.
    1. Boonpangrak S, Lalitmanat S, Suwanwong Y, Prachayasittikul S, Prachayasittikul V. Analysis of ascorbic acid and isoascorbic acid in orange and guava fruit juices distributed in Thailand by LC-IT-MS/MS. Food Anal Methods. 2016;9(6):1616–1626. doi: 10.1007/s12161-015-0337-x.
    1. Angela S, Eliana G, Francesca C, Giovanni C, Giuseppe C, Susan C. Ascorbic acid: its role in immune system and chronic inflammation diseases. Mini Rev Med Chem. 2014;14(5):444–452. doi: 10.2174/1389557514666140428112602.
    1. Moyer J, Wilson D, Finkelshtein I, Wong B, Potts R. Correlation between sweat glucose and blood glucose in subjects with diabetes. Diabetes Technol Ther. 2012;14(5):398–402. doi: 10.1089/dia.2011.0262.
    1. Pilon S, Holloway AC, Thomson EM. Metabolic, stress, and inflammatory biomarker responses to glucose administration in Fischer-344 rats: intraperitoneal vs. oral delivery. J Pharm Toxicol Methods. 2018;90:1–6. doi: 10.1016/j.vascn.2017.10.010.
    1. Brasier N, Eckstein J. Sweat as a source of next-generation digital biomarkers. Digital Biomarkers. 2019;3(3):155–165. doi: 10.1159/000504387.

Source: PubMed

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