System biological investigations of hydroxychloroquine and azithromycin targets and their implications in QT interval

Abdul Arif Khan1, Zakir Khan2

  • 1Indian Council of Medical Research-National AIDS Research Institute, Pune, Maharashtra, 411026, India.

Insights

Hydroxychloroquine and Azithromycin combination may prolong QT interval. Computational analysis identified HSP90AA1 and AKT1 as key drug targets, suggesting PI3K/Akt, VEGF, and ERBB2 pathways are involved in this adverse event.

Area of Science:

  • Pharmacology
  • Computational Biology
  • Cardiology

Background:

  • The COVID-19 pandemic lacks a definitive treatment, leading to drug repurposing efforts.
  • Hydroxychloroquine (HCQ) and Azithromycin (AZM) combination is a widely discussed therapeutic option.
  • QT interval prolongation is a significant adverse event associated with HCQ and AZM.

Purpose of the Study:

  • To investigate the drug interactions between HCQ and AZM.
  • To identify molecular targets and pathways contributing to QT interval prolongation caused by this drug combination.
  • To provide a computational basis for understanding and mitigating HCQ-AZM associated cardiotoxicity.

Main Methods:

  • System biological investigation of HCQ and AZM targets.
  • Screening of key proteins and pathways involved in QT interval prolongation.
  • Identification of core hub protein drug targets using node degree value.

Main Results:

  • HSP90AA1 was identified as a key target exclusively associated with HCQ.
  • AKT1 was identified as a key target exclusively associated with AZM.
  • PI3K/Akt, VEGF, and ERBB2 pathways were highlighted as crucial for understanding the role of HCQ and AZM in QT interval prolongation.

Conclusions:

  • Computational findings suggest specific protein targets (HSP90AA1, AKT1) and pathways (PI3K/Akt, VEGF, ERBB2) linked to HCQ-AZM induced QT prolongation.
  • These identified targets and pathways offer potential strategies for reducing the risk of cardiotoxicity.
  • Experimental validation is recommended to confirm these computational predictions and draw definitive conclusions.

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