Antiviral effects and tissue exposure of tetrandrine against SARS-CoV-2 infection and COVID-19.
Jia LiuFurun WangXi WangShiyong FanYufeng LiMingyue XuHengrui HuKe LiuBohong ZhengLingchao WangHuanyu ZhangJiang LiWei LiWenpeng ZhangZhihong HuRuiyuan CaoXiaomei ZhuangManli WangWu ZhongPublished in: MedComm (2023)
Tetrandrine (TET) has been used to treat silicosis in China for decades. The aim of this study was to facilitate rational repurposing of TET against SARS-CoV-2 infection. In this study, we confirmed that TET exhibited antiviral potency against SARS-CoV-2 in the African green monkey kidney (Vero E6), human hepatocarcinoma (Huh7), and human lung adenocarcinoma epithelial (Calu-3) cell lines. TET functioned during the early-entry stage of SARS-CoV-2 and impeded intracellular trafficking of the virus from early endosomes to endolysosomes. An in vivo study that used adenovirus (AdV) 5-human angiotensin-converting enzyme 2 (hACE2)-transduced mice showed that although TET did not reduce pulmonary viral load, it significantly alleviated pathological damage in SARS-CoV-2-infected murine lungs. The systemic preclinical pharmacokinetics were investigated based on in vivo and in vitro models, and the route-dependent biodistribution of TET was explored. TET had a large volume of distribution, which contributed to its high tissue accumulation. Inhaled administration helped TET target the lung and reduced its exposure to other tissues, which mitigated its off-target toxicity. Based on the available human pharmacokinetic data, it appeared feasible to achieve an unbound TET 90% maximal effective concentration (EC 90 ) in human lungs. This study provides insights into the route-dependent pulmonary biodistribution of TET associated with its efficacy.
Keyphrases
- sars cov
- endothelial cells
- respiratory syndrome coronavirus
- induced pluripotent stem cells
- gene expression
- oxidative stress
- pulmonary hypertension
- type diabetes
- pluripotent stem cells
- stem cells
- angiotensin converting enzyme
- adipose tissue
- heart rate
- skeletal muscle
- computed tomography
- machine learning
- cell therapy
- mass spectrometry
- positron emission tomography
- electronic health record
- big data
- pet ct