Novel biomarkers and emerging tools to identify causal molecular pathways in hypertension and associated

Ewelina Józefczuk1,2, Tomasz J Guzik3,4,5, Mateusz Siedlinski3,4

  • 1Department of Internal and Agricultural Medicine, Jagiellonian University Medical College, Kraków, Poland. mateusz.siedlinski@uj.edu.pl.

Kardiologia Polska
|February 5, 2023
PubMed

Insights

Novel biomarkers causally linked to hypertension (HT) and cardiovascular diseases (CVDs) are needed. Mendelian randomization analysis of large-scale biobank data can identify new drug targets for HT and related CVDs.

Area of Science:

  • Cardiovascular research
  • Genetics
  • Biomarker discovery

Background:

  • Hypertension (HT) is a major modifiable risk factor for cardiovascular diseases (CVDs).
  • Current HT treatments target largely unchanged molecular pathways, necessitating novel therapeutic strategies.
  • Identifying causal biomarkers for HT is crucial for developing new pharmacological interventions.

Purpose of the Study:

  • To explore novel biomarkers causally linked to hypertension (HT).
  • To identify new pharmacologically targetable pathways for HT and associated cardiovascular diseases (CVDs).
  • To leverage high-throughput data and genetic causal inference for therapeutic target discovery.

Main Methods:

  • Utilized Mendelian randomization (MR) for genetic causal inference.
  • Analyzed large-scale biobank data, including proteomics (OLINK, SomaScan) and metabolomics (NMR).
  • Applied MR to nominate potentially causal biomarkers and assess genetic proxies for existing drug targets.

Main Results:

  • MR analysis identified potential causal biomarkers for HT and CVDs, including glycine, branched-chain amino acids, lipoprotein(a), IGF-1, and fibronectin 1.
  • Genetic proxies for drug targets (statins, PCSK9, ACE inhibitors) provided insights into potential side effects and personalized medicine.
  • Genetic causal inference helped disentangle effects of correlated traits on cardiovascular outcomes.

Conclusions:

  • High-throughput omics data combined with MR analysis can reveal novel druggable molecular targets for HT and CVDs.
  • This approach supports the selection of drug targets for clinical testing and advances personalized medicine.
  • Further research may lead to the development of innovative treatments for hypertension and cardiovascular conditions.

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