Abstract
Although many studies have been conducted on the chemistry and pharmacological activities of Ganoderma lucidum spores (GLS), there is a lack of systematic review on the health promoting functions especially immunomodulatory effects of GLS. In the current study, we constructed a data model and utilized R modules and PERL language to implement a pipeline that is capable of carrying out multiple meta-analyses automatically. Using GLS as the study subject, we carried out meta-analyses on 53 outcome measures using the automatic meta-analysis pipeline. Among them, 19 outcome measures were found to be significantly affected after GLS treatment (with p value < 0.05). 8 of them have I^2 less than 50%, indicating low level of study heterogeneity. Through the analysis of GLS, the automatic meta-analysis pipeline has been shown to be suitable for high-throughput meta-analysis and visualization. Also, the information derived from this study could assist policy-makers and functional food consumers to determine whether GLS could be a recommended choice for immunomodulatory effect.
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Acknowledgement
This work was supported by grants from CAMS Innovation Fund for Medical Sciences (CIFMS) (2016-I2M-3-016 and 2017-I2M-1-013), From the Chinese Academy of Medical Science.
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Liu, R. et al. (2018). Meta-analysis of the Immunomodulatory Effect of Ganoderma Lucidum Spores Using an Automatic Pipeline. In: Chen, H., Fang, Q., Zeng, D., Wu, J. (eds) Smart Health. ICSH 2018. Lecture Notes in Computer Science(), vol 10983. Springer, Cham. https://doi.org/10.1007/978-3-030-03649-2_33
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DOI: https://doi.org/10.1007/978-3-030-03649-2_33
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