Funding for this research was provided by:
National Natural Science Foundation of China (grant 81870575)
Natural Science Foundation of Guangdong Province (grant 2017A030310044)
National Natural Science Foundation for Young Scholars of China (grant 81700718)
National Key R&D Program of China (grant 2016YFC0906101)
Operational Grant of Guangdong Provincial Key Laboratory (grant 2017B030314019)
Science and Technology Program of Guangdong Province (grant 2017A050503003)
Guangzhou Municipal Program of Science and Technology (grant 201704020167)
Text and Data Mining valid from 2020-03-21
Received: 17 January 2020
Accepted: 13 March 2020
First Online: 21 March 2020
Ethics approval and consent to participate
: This study was performed in accordance with the ethical principles of the Declaration of Helsinki and was approved by the human ethics committees of SYSU. Written informed consent was obtained from all participants before enrollment.
: Not applicable.
: The authors declare that they have no competing interest.