The influence of SARS-CoV-2 infection on expression of drug-metabolizing enzymes and transporters in a hACE2 murine model

Altered ACE2 and interferon landscape in the COVID-19 microenvironment correlate with the anti-PD-1 response in solid tumors

Angiotensensin-converting enzyme-2 (ACE2) is a receptor for SARS-CoV-2, allowing the virus to enter cells. Although tumor patients infected by SARS-CoV-2 often have a worse outcome, the expression, function and clinical relevance of ACE2 in tumors has not yet been thoroughly analyzed. In this study, RNA sequencing (RNA-seq) data from tumors, adjacent tissues and whole blood samples of COVID-19 patients from genome databases and from tumor cell lines and endothelial cells infected with different SARS-CoV-2 variants or transfected with an ACE2 expression vector (ACE2high) or mock (ACE2low) were analyzed for the expression of ACE2 and immune response relevant molecules in silico or by qPCR, flow cytometry, Western blot and/or RNA-seq. The differential expression profiles in ACE2high vs. ACE2low cells correlated with available SARS-CoV-2 RNA-seq datasets. ACE2high cells demonstrated upregulated mRNA and/or protein levels of HLA class I, programmed death ligand 1 (PD-L1), components of the antigen processing machinery (APM) and the interferon (IFN) signaling pathway compared to ACE2low cells. Co-cultures of ACE2high cells with peripheral blood mononuclear cells increased immune cell migration and infiltration towards ACE2high cells, apoptosis of ACE2high cells, release of innate immunity-related cytokines and altered NK cell-mediated cytotoxicity. Thus, ACE2 expression was associated in different model systems and upon SARS-CoV-2 infection with an altered host immunogenicity, which might influence the efficacy of immune checkpoint inhibitors. These results provide novel insights into the (patho)physiological role of ACE2 on immune response-relevant mechanisms and suggest an alternative strategy to reduce COVID-19 severity in infected tumor patients targeting the ACE2-induced IFN-PD-L1 axis.

COVID-19 severity gradient differentially dysregulates clinically relevant drug processing genes in nasopharyngeal swab samples

AIM

Understanding how COVID-19 impacts the expression of clinically relevant drug metabolizing enzymes and membrane transporters (DMETs) is vital for addressing potential safety and efficacy concerns related to systemic and peripheral drug concentrations. This study investigates the impact of COVID-19 severity on DMETs expression and the underlying mechanisms to inform the design of precise clinical dosing regimens for affected patients.

METHODS

Transcriptomics analysis of 102 DMETs, 10 inflammatory markers, and 12 xenosensing regulatory genes was conducted on nasopharyngeal swabs from 50 SARS-CoV-2 positive (17 outpatients, 16 non-ICU, and 17 ICU) and 13 SARS-CoV-2 negative individuals, clinically tested through qPCR, in the Greater Toronto area from October 2020 to October 2021.

RESULTS

We observed a significant differential gene expression for 42 DMETs, 6 inflammatory markers, and 9 xenosensing regulatory genes. COVID-19 severity was associated with the upregulation of AKR1C1, MGST1, and SULT1E1, and downregulation of ABCC10, CYP3A43, and SLC29A4 expressions. Altogether, SARS-CoV-2-positive patients showed an upregulation in CYP2C9, CYP2C19, AKR1C1, SULT1B1, SULT2B1, and SLCO4A1 and downregulation in FMO5, MGST3, ABCC5, and SLCO4C1 compared with SARS-CoV-2 negative individuals. These dysregulations were associated with significant changes in the expression of inflammatory and xenosensing regulatory genes driven by the disease. GSTM3, PPARA, and AKR1C1 are potential biomarkers of the observed DMETs dysregulation pattern in nasopharyngeal swabs of outpatients, non-ICU, and ICU patients, respectively.

CONCLUSION

The severity of COVID-19 is associated with the dysregulation of DMETs involved in processing commonly prescribed drugs, suggesting potential disease-drug interactions, especially for narrow therapeutic index drugs.

Pharmacomicrobiomics and Drug-Infection Interactions: The Impact of Commensal, Symbiotic and Pathogenic Microorganisms on a Host Response to Drug Therapy

Microorganisms have a close relationship with humans, whether it is commensal, symbiotic, or pathogenic. Recently, it has been documented that microorganisms may influence the response to drug therapy. Pharmacomicrobiomics is an emerging field that focuses on the study of how variations in the microbiome affect the disposition, action, and toxicity of drugs. Two additional sciences have been added to complement pharmacomicrobiomics, namely toxicomicrobiomics, which explores how the microbiome influences drug metabolism and toxicity, and pharmacoecology, which refers to modifications in the microbiome as a result of drug administration. In this context, we introduce the concept of "drug-infection interaction" to describe the influence of pathogenic microorganisms on drug response. This review analyzes the current state of knowledge regarding the relevance of microorganisms in the host's response to drugs. It also highlights promising areas for future research and proposes the term "drug-infection interaction" as an extension of pharmacomicrobiomics.