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Can salivary lactate be used as an anaerobic biomarker?
BACKGROUND: Salivary lactate has been suggested as a non-invasive anaerobic biomarker in sports medicine for decades, yet has not been widely applied until now. This study aimed to explore possible issues related to its application and suggest directions for future method improvement. METHODS: A liq...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162035/ https://www.ncbi.nlm.nih.gov/pubmed/37151289 http://dx.doi.org/10.7717/peerj.15274 |
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author | Yan, Pingping Qin, Chunli Yan, Zengyin Chen, Chang Zhang, Fengjing |
author_facet | Yan, Pingping Qin, Chunli Yan, Zengyin Chen, Chang Zhang, Fengjing |
author_sort | Yan, Pingping |
collection | PubMed |
description | BACKGROUND: Salivary lactate has been suggested as a non-invasive anaerobic biomarker in sports medicine for decades, yet has not been widely applied until now. This study aimed to explore possible issues related to its application and suggest directions for future method improvement. METHODS: A liquid chromatography–mass spectrometry (LC-MS) method for the determination of salivary lactate was developed, validated and applied on saliva samples collected from a group of professional sprinters (n = 20). The samples were collected via chewing a cotton ball for one minute and centrifuging it afterwards. The evaluation included variation with mouth rinse times, consistency at different sampling times, change after treadmill or cycle ergometer trainings, and association with blood lactate. Sample sizes were calculated prior to the study. One-way analysis of variance (ANOVA), intra-class correlation coefficients (ICC) and relative standard deviation (RSD) were used to evaluate data variances. Pearson correlation was applied to show correlation between salivary and blood lactate. Effect sizes and power were calculated following ANOVA and correlation analyses. RESULTS: The RSD of the LC-MS method was 19.70%. Salivary lactate concentration was affected by mouth rinse times before sampling (ANOVA p = 0.025, η(2) = 0.40, 1 − β = 0.99, ICC = 0.23, mean RSD of four sampling = 55.30%), and stabilized after mouth rinsing for three times. The concentrations at resting state across three weeks were consistent at group level (ANOVA p = 0.57, η(2) = 0.03, 1 − β = 0.20), but varied greatly individually (ICC = 0.22, mean RSD = 56.16%). Salivary lactate level significantly increased after treadmill and cycle ergometer trainings (ANOVA p = 0.0002, η(2) = 0.46, 1 − β = 0.9999 and ANOVA p = 0.0019, η(2) = 0.40, 1 − β = 0.9993, respectively), and displayed positive correlation with blood lactate concentration (r = 0.61, p = 0.0004, 1 − β = 0.9596). Significant difference between male and female participants was observed in none of the tests conducted in this study. DISCUSSION: Salivary lactate was found to be a potential anaerobic biomarker. However, reproducible methods for sample collection and analysis, as well as more knowledge on the secretion mechanism and pattern of salivary lactate are required to make it a practical anaerobic biomarker. |
format | Online Article Text |
id | pubmed-10162035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101620352023-05-06 Can salivary lactate be used as an anaerobic biomarker? Yan, Pingping Qin, Chunli Yan, Zengyin Chen, Chang Zhang, Fengjing PeerJ Biochemistry BACKGROUND: Salivary lactate has been suggested as a non-invasive anaerobic biomarker in sports medicine for decades, yet has not been widely applied until now. This study aimed to explore possible issues related to its application and suggest directions for future method improvement. METHODS: A liquid chromatography–mass spectrometry (LC-MS) method for the determination of salivary lactate was developed, validated and applied on saliva samples collected from a group of professional sprinters (n = 20). The samples were collected via chewing a cotton ball for one minute and centrifuging it afterwards. The evaluation included variation with mouth rinse times, consistency at different sampling times, change after treadmill or cycle ergometer trainings, and association with blood lactate. Sample sizes were calculated prior to the study. One-way analysis of variance (ANOVA), intra-class correlation coefficients (ICC) and relative standard deviation (RSD) were used to evaluate data variances. Pearson correlation was applied to show correlation between salivary and blood lactate. Effect sizes and power were calculated following ANOVA and correlation analyses. RESULTS: The RSD of the LC-MS method was 19.70%. Salivary lactate concentration was affected by mouth rinse times before sampling (ANOVA p = 0.025, η(2) = 0.40, 1 − β = 0.99, ICC = 0.23, mean RSD of four sampling = 55.30%), and stabilized after mouth rinsing for three times. The concentrations at resting state across three weeks were consistent at group level (ANOVA p = 0.57, η(2) = 0.03, 1 − β = 0.20), but varied greatly individually (ICC = 0.22, mean RSD = 56.16%). Salivary lactate level significantly increased after treadmill and cycle ergometer trainings (ANOVA p = 0.0002, η(2) = 0.46, 1 − β = 0.9999 and ANOVA p = 0.0019, η(2) = 0.40, 1 − β = 0.9993, respectively), and displayed positive correlation with blood lactate concentration (r = 0.61, p = 0.0004, 1 − β = 0.9596). Significant difference between male and female participants was observed in none of the tests conducted in this study. DISCUSSION: Salivary lactate was found to be a potential anaerobic biomarker. However, reproducible methods for sample collection and analysis, as well as more knowledge on the secretion mechanism and pattern of salivary lactate are required to make it a practical anaerobic biomarker. PeerJ Inc. 2023-05-02 /pmc/articles/PMC10162035/ /pubmed/37151289 http://dx.doi.org/10.7717/peerj.15274 Text en ©2023 Yan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Biochemistry Yan, Pingping Qin, Chunli Yan, Zengyin Chen, Chang Zhang, Fengjing Can salivary lactate be used as an anaerobic biomarker? |
title | Can salivary lactate be used as an anaerobic biomarker? |
title_full | Can salivary lactate be used as an anaerobic biomarker? |
title_fullStr | Can salivary lactate be used as an anaerobic biomarker? |
title_full_unstemmed | Can salivary lactate be used as an anaerobic biomarker? |
title_short | Can salivary lactate be used as an anaerobic biomarker? |
title_sort | can salivary lactate be used as an anaerobic biomarker? |
topic | Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162035/ https://www.ncbi.nlm.nih.gov/pubmed/37151289 http://dx.doi.org/10.7717/peerj.15274 |
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