Data-driven microbiota biomarker discovery for personalized drug therapy of cardiovascular disease

Li Shen, Ke Shen, Jinwei Bai, Jiao Wang, Rajeev K. Singla, Bairong Shen

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Cardiovascular disease (CVD) is the most wide-spread disorder all over the world. The personalized and precision diagnosis, treatment and prevention of CVD is still a challenge. With the developing of metagenome sequencing technologies and the paradigm shifting to data-driven discovery in life science, the computer aided microbiota biomarker discovery for CVD is becoming reality. We here summarize the data resources, knowledgebases and computational models available for CVD microbiota biomarker discovery, and review the present status of the findings about the microbiota patterns associated with the therapeutic effects on CVD. The future challenges and opportunities of the translational informatics on the personalized drug usages in CVD diagnosis, prognosis and treatment are also discussed.

Original languageEnglish
Article number105225
JournalPharmacological Research
StatePublished - Nov 2020
Externally publishedYes


  • Cardiovascular disease
  • Computer aided biomarker discovery
  • Microbiota
  • Personalized drug therapy
  • Translational informatics


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