Can salivary lactate be used as an anaerobic biomarker?

Author:

Yan Pingping1,Qin Chunli2,Yan Zengyin3,Chen Chang4,Zhang Fengjing567

Affiliation:

1. College of Exercise Medicine, Chongqing Medical University, Chongqing, China

2. Chongqing Institute of Sport Science, Chongqing, China

3. School of Physical Education, Chongqing University of Posts and Telecommunications, Chongqing, China

4. Institute of Life Sciences, Chongqing Medical University, Chongqing, China

5. Stomatological Hospital of Chongqing Medical University, Chongqing, China

6. Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, China

7. Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing, China

Abstract

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, η2 = 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, η2 = 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, η2 = 0.46, 1 − β = 0.9999 and ANOVA p = 0.0019, η2 = 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.

Funder

Chongqing Administration of Sport

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference24 articles.

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