Skip to main content

Advertisement

Log in

Proof-of-Concept and Feasibility Study to Evaluate the Effect of β-Glucan on Protective Qi Deficiency in Adults

  • Original Article
  • Published:
Chinese Journal of Integrative Medicine Aims and scope Submit manuscript

Abstract

Objective

To preliminarily explore the potential effect of β-glucan on Chinese medicine (CM) concept protective qi deficiency (PQD), and the methodology for future definitive studies.

Methods

To have a standardized assessment of PQD, a list of 13 potentially PQD-relevant parameters were firstly created, each with defined quantitative or categorial scales. Using the data from 37 participants with (21 cases) or without (16 cases) PQD, multivariate logistic modeling was conducted to create a preliminary diagnostic PQD risk score. Subsequently, 21 participants diagnosed with PQD were treated with β-glucan in a dose of 200 mg/day for 8 weeks. Data were collected for trial acceptability measures (rate of recruitment, withdrawal, and compliance), and the participants were assessed for PQD status at baseline and every 2 weeks thereafter.

Results

The preliminary logistic model consisted of 3 parameters (low voice and apathy, aversion to wind and cold, and Cun pulse). The resulting risk score demonstrated a degree of PQD-predicting accuracy that, as evaluated by statistical (discrimination and classification) methods, was higher than those obtained from any of the individual candidate parameters. The 21 PQD participants treated with β-glucan demonstrated good receptibility and a time-dependent improvement in PQD status as evidenced by the decrease of PQD participant to 9.5% at the end of study.

Conclusions

This study demonstrated the effect of proof-of-concept of β-glucan on improving PQD and the proof-of-concept of a multivariate-model-derived diagnostic PQD risk score. It also indicated feasibility for future definitive studies. Studies like this embody an innovative approach that uses therapies derived from the mainstream biomedicine to enrich therapeutics guided by CM principle. (Trial registration No. NCT03829228)

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Chan G, Chan W, Sze D. The effects of β-glucan on human immune and cancer cells. J Hematol Oncol 2009;2:25.

    Article  Google Scholar 

  2. Bashir KM, Choi J-S. Clinical and physiological perspectives of β-glucans: the past, present, and future. Int J Mol Sci 2017;18:1906.

    Article  Google Scholar 

  3. China State Bureau of Quality and Technical Supervision. National standards of People’s Republic of China-clinical terminology of TCM diagnosis and therapeutics-symptoms and syndromes. 1st ed. Beijing: Standard Press of China; 1997.

    Google Scholar 

  4. Altman DG, Royston P. The cost of dichotomising continuous variables. Br Med J 2006;332:1080.

    Article  Google Scholar 

  5. Unschuld PU. Huang Di Nei Jing Ling Shu. Oakland, California: University of California Press; 2016.

    Book  Google Scholar 

  6. Chen JX, Xue FF. Origin and development of microcosmic syndrome differentiation. J Integr Med 2005;3:342–346.

    Google Scholar 

  7. Yao ML. Pulse quantitative classification and pulse recording format. Sixteen lectures on clinical pulse science. 1st ed. Beijing: China Press of Traditional Chinese Medicine; 1983.

    Google Scholar 

  8. Liang MX, Hong ZP. A preliminary study on the method of quantifying symptoms of traditional Chinese medicine. Attached quantitative method of 30 syndromes of deficiency syndrome. China J Tradit Chin Med Pharm 1994;9:37–39.

    CAS  Google Scholar 

  9. Bergendiova K, Tibenska E, Majtan J. Pleuran (β-glucan from Pleurotus ostreatus) supplementation, cellular immune response and respiratory tract infections in athletes. Eur J Appl Physiol 2011;111:2033–2040.

    Article  CAS  Google Scholar 

  10. Talbott S, Talbott J. Effect of BETA 1, 3/1, 6 GLUCAN on upper respiratory tract infection symptoms and mood state in marathon athletes. J Sport Sci Med 2009;8:509–515.

    Google Scholar 

  11. Talbott SM, Talbott JA. Baker’s yeast beta-glucan supplement reduces upper respiratory symptoms and improves mood state in stressed women. J Am Coll Nutr 2012;31:295–300.

    Article  CAS  Google Scholar 

  12. Babineau TJ, Hackford A, Kenler A, Bistrian B, Forse RA, Fairchild PG, et al. A phase II multicenter, double-blind, randomized, placebo-controlled study of three dosages of an immunomodulator (PGGGlucan) in high-risk surgical patients. Arch Surg 1994;129:1204–1210.

    Article  CAS  Google Scholar 

  13. Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr 1974;19:716–723.

    Article  Google Scholar 

  14. FIRTH D. Bias reduction of maximum likelihood estimates. Biometrika 1993;80:27–38.

    Article  Google Scholar 

  15. Midi H, Sarkar SK, Rana S. Collinearity diagnostics of binary logistic regression model. J Interdiscip Math 2010;13:253:267.

    Article  Google Scholar 

  16. Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 1993;39:561–577.

    Article  CAS  Google Scholar 

  17. Moons KGM, Altman DG, Reitsma JB, Ioannidis JPA, Macaskill P, Steyerberg EW, et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med 2015;162:W1–W73.

    Article  Google Scholar 

  18. Lancaster GA, Thabane L. Guidelines for reporting non-randomised pilot and feasibility studies. Pilot Feasibil Stud 2019;5:114.

    Article  Google Scholar 

  19. Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. Pilot feasibility Stud 2016;2:64.

    Article  Google Scholar 

  20. Zhu F, Du B, Xu B. A critical review on production and industrial applications of beta-glucans. Food Hydrocoll 2016;52:275–288.

    Article  CAS  Google Scholar 

  21. Azen R, Budescu DV. The Dominance Analysis Approach for comparing predictors in multiple regression. Psychol Methods 2003;8:129–148.

    Article  Google Scholar 

  22. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988:411–413.

    Google Scholar 

  23. Bujang MA, Sa’at N, Sidik TMITAB. Determination of minimum sample size requirement for multiple linear regression and analysis of covariance based on experimental and non-experimental studies. Epidemiol Biostat Public Heal 2017;14:e12117–9.

    Google Scholar 

  24. Boh B, Berovic M, Zhang J, Zhi-Bin L. Ganoderma lucidum and its pharmaceutically active compounds. Biotechnol Annu Rev 2007:265–301.

    Google Scholar 

  25. China Pharmacopeia Committe. China pharmacopeia. 1st ed. Beijing: China Medical Science and Technology Press; 2015.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

Wu JR, Chen HJ, Shi JP, Levy M, Sinnot R, and Tian JQ designed the research (project conception and development of overall research plan); Wu JR, Shi JP, Ou XQ, and Bernstein I were on-site investigators who conducted the research (hands-on conduct of the trial and data collection); Chen HJ, Tian JQ, and Levy M processed the data and performed statistical analysis; Levy M and Chen HJ wrote the Institutional Research Board (IRB) proposal and registered the study at clinicaltrial.gov; Tian JQ, Levy M, and Chen HJ are the persons who primarily wrote the manuscript. Tian JQ had primary responsibility for final content.

Corresponding author

Correspondence to Jun-qiang Tian.

Ethics declarations

Levy M, Cheng HJ, and Tian JQ were employees of USANA Health Science, the manufacturer of Proglucamune® at the time of the study. Wu JR, Shi JP, Ou XQ, and Bernstein I were product distributors of USANA Health Science at the time of the study.

Additional information

Supported by USANA Health Science Inc., the manufacturer of Proglucamune®

Supplementary material to

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Levy, M., Wu, Jr., Shi, Jp. et al. Proof-of-Concept and Feasibility Study to Evaluate the Effect of β-Glucan on Protective Qi Deficiency in Adults. Chin. J. Integr. Med. 27, 666–673 (2021). https://doi.org/10.1007/s11655-020-3430-y

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11655-020-3430-y

Keywords

Navigation