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Concise CommunicationAIDS/HIVHepatology Free access | 10.1172/JCI128274
1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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1Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, and
2Division of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
3Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
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Published April 30, 2019 - More info
Ritonavir (RTV) is on the World Health Organization’s list of essential medicines for antiretroviral therapy, but can cause hepatotoxicity by unknown mechanisms. Multiple clinical studies found that hepatotoxicity occurred in 100% of participants who were pretreated with rifampicin or efavirenz followed by RTV-containing regimens. Both rifampicin and efavirenz are activators of the pregnane X receptor (PXR), a transcription factor with marked interspecies differences in ligand-dependent activation. Using PXR-humanized mouse models, we recapitulated the RTV hepatotoxicity observed in the clinic. PXR was found to modulate RTV hepatotoxicity through CYP3A4-dependent pathways involved in RTV bioactivation, oxidative stress, and endoplasmic reticulum stress. In summary, the current work demonstrated the essential roles of human PXR and CYP3A4 in RTV hepatotoxicity, which can be applied to guide the safe use of RTV-containing regimens in the clinic.
With the advent of antiretroviral therapy (ART), the overall mortality and morbidity in HIV/AIDS patients has decreased substantially. However, the toxicity of ART is one of the major concerns of the HIV/AIDS community. A considerable number of patients have poor adherence to ART, in part due to drug toxicity (1), consequently leading to the emergence of drug resistance and/or virologic failure. Ritonavir (RTV) is the backbone of boosted protease inhibitor–based regimens in ART. In early clinical studies, treatment with a full dose of RTV frequently caused liver damage (2, 3). The use of low-dose RTV as a pharmacoenhancer for RTV-containing regimens decreased the overall rate of liver injury. However, RTV is still considered the cause of liver damage during treatment with RTV-containing regimens (4, 5). Because the mechanisms of RTV hepatotoxicity remain elusive, no approach is currently available to predict and prevent such toxicity.
Remarkably, multiple clinical studies found that hepatotoxicity occurred in 100% of participants who were pretreated with rifampicin (RIF) (an antibiotic for treating tuberculosis) or efavirenz (EFV) (a nonnucleoside reverse transcriptase inhibitor for treating HIV) followed by RTV-containing regimens (6–9). We noted that both RIF and EFV are activators of the human pregnane X receptor (PXR), a ligand-dependent transcription factor that is highly expressed in the liver and upregulates drug metabolizing enzymes, including CYP3A4 (10–14). In addition, CYP3A4 plays a critical role in RTV metabolism and bioactivation (15–20). These data led us to hypothesize that human PXR modulates RTV hepatotoxicity through CYP3A4-dependent pathways. Genetically engineered PXR- and CYP3A4-humanized mouse models were developed and used to test our hypothesis.
This project was initiated from the clinical observations showing hepatotoxicity in subjects pretreated with RIF followed by RTV-containing regimens (Figure 1A) (6–8). We first used WT mice to mimic the hepatotoxicity that occurred in the clinical studies. However, no significant liver injury was found in WT mice pretreated with RIF for 7 days followed by RTV (Figure 1, B and C, and Supplemental Figure 1; supplemental material available online with this article; https://doi.org/10.1172/JCI128274DS1). These data suggest interspecies differences between mice and humans in response to RIF and/or RTV. RIF is a human-specific activator of PXR, a ligand-dependent transcription factor highly expressed in the liver, which regulates a gene network including the major hepatic drug-metabolizing enzyme CYP3A4 (11, 14). To overcome the interspecies differences in RIF-mediated PXR activation, we generated a double-transgenic mouse model expressing human PXR and CYP3A4 (hPXR/CYP3A4) on the background of both mouse Pxr and Cyp3a knockout (Figure 1D). As expected, treatment with RIF induced a panel of PXR target genes, including CYP3A4, in the livers of hPXR/CYP3A4 mice (Supplemental Figure 2), indicating that human PXR is functional in these mice.
Role of human PXR in the hepatotoxicity cause by pretreatment with RIF followed by RTV. (A) Schematic showing the adverse drug interactions between RIF and RTV in humans that led to the early termination of clinical studies. (B–F) Evaluation of liver damage in WT and hPXR/CYP3A4 mice pretreated with RIF for 7 days followed by RTV. (B and C) Activities of ALT and AST in the serum of WT mice. (D) Genotyping results of hPXR/CYP3A4 mice, which are positive for human PXR and CYP3A4, but negative for mouse Pxr and Cyp3a. (E and F) Activities of ALT and AST in the serum of hPXR/CYP3A4 mice. All data are shown as mean ± SEM (n = 3–4). Statistical significance was determined by 1-way ANOVA with Tukey’s post hoc test. ****P < 0.0001 for RIF+RTV group vs. control, RTV, and RIF groups.
Using hPXR/CYP3A4 mice, we recapitulated the RTV hepatotoxicity observed in clinical studies (6–8), as the biomarkers of liver damage were significantly increased in hPXR/CYP3A4 mice pretreated with RIF for 7 days followed by RTV (Figure 1, E and F). In addition, histological analysis revealed massive hepatocyte degeneration in hPXR/CYP3A4 mice pretreated with RIF followed by RTV (Supplemental Figure 3). These data indicate that human PXR is the key mediator of hepatotoxicity caused by lead-in treatment with RIF followed by RTV. This information is extremely important for the HIV/AIDS community because many prescription drugs and herbal supplements are potent PXR activators that individuals may encounter in daily life (21–24). Therefore, we suggest reviewing whether HIV/AIDs patients are under treatment with PXR activators before starting RTV-containing regimens.
We next explored the pathways downstream of PXR that lead to RTV hepatotoxicity. We hypothesized that PXR modulates RTV hepatotoxicity through CYP3A4-dependent pathways because CYP3A4 is a primary PXR target gene (11, 13, 14) and CYP3A4 plays an important role in RTV metabolism and bioactivation (15–20). To test this hypothesis, we generated a humanized PXR mouse model deficient in Cyp3a (hPXR/Cyp3a-null) (Figure 2A). Treatment with RIF for 7 days significantly induced PXR target genes other than Cyp3a in the liver of hPXR/Cyp3a-null mice (Figure 2B and Supplemental Figure 4), indicating that PXR is functionally intact in these mice. Compared with hPXR/CYP3A4 mice, no liver injury was observed in hPXR/Cyp3a-null mice pretreated with RIF for 7 days followed by RTV (Figure 2, C–F), indicating that PXR modulates RTV hepatotoxicity through CYP3A4-dependent pathways. These data suggest that CYP3A4 induction should be considered as a risk factor for RTV hepatotoxicity. Apart from PXR, other nuclear receptors, such as constitutive androstane receptor (CAR), also upregulate CYP3A4 expression (25) and many CAR activators are found among prescription drugs (such as phenobarbital) and herbal supplements (26, 27). Hence, clinicians should be mindful of both PXR and CAR activators before starting RTV-containing regimens in HIV/AIDs patients, as they could induce CYP3A4 and predispose patients to the risk of liver injury.
Role of CYP3A4 in the hepatotoxicity caused by pretreatment with RIF followed by RTV. hPXR/CYP3A4 and hPXR/Cyp3a-null mice were pretreated with RIF for 7 days followed by RTV. (A) Genotyping results of hPXR/Cyp3a-null mice, which are positive for human PXR, but negative for human CYP3A4. (B) Expression of CYP3A4 in the liver of hPXR/CYP3A4 and hPXR/Cyp3a-null mice pretreated with or without PXR ligand RIF for 7 days. Gapdh was used as a loading control. (C and D) Activities of ALT and AST in the serum. All data are shown as mean ± SEM. (n = 3-4). Statistical significance was determined by 2-way ANOVA with Tukey’s post hoc test. ****P < 0.0001. (E and F) Histological analysis of liver samples from control and RIF+RTV groups of hPXR/CYP3A4 and hPXR/Cyp3a-null mice. H&E staining. CV, central vein; ψ indicates hepatocyte degeneration. Original magnification: ×400.
To further verify the role of human PXR and CYP3A4 in RTV hepatotoxicity, the adverse interactions between EFV and RTV were investigated in hPXR/CYP3A4 and hPXR/Cyp3a-null mice. EFV is also a PXR activator (Supplemental Figure 5A). We found that lead-in treatment with EFV for 7 days potentiated RTV hepatotoxicity in hPXR/CYP3A4 mice (Supplemental Figure 5, B–F), which mimicked EFV- and RTV-induced liver injury observed in a previous clinical study (9). In addition, lead-in treatment with EFV for 7 days followed by RTV, resulted in hepatocyte degeneration (Supplemental Figure 5E), exhibiting the same phenotype as RIF- and RTV-induced liver damage (Supplemental Figure 3). We also noted that RIF had a more significant impact than EFV on RTV hepatotoxicity, as revealed by alanine transaminase (ALT) and aspartate transaminase (AST) values (Figure 1, E and F, and Supplemental Figure 5, B and C), which could be the result of enterohepatic circulation of RIF leading to long-term exposure of liver to RIF (28). Furthermore, we found that the hepatotoxicity associated with lead-in treatment with EFV followed by RTV was CYP3A4 dependent (Supplemental Figure 5, B–F). These data further confirmed the roles of human PXR and CYP3A4 in RTV hepatotoxicity.
We next investigated the pharmacokinetic interactions between RIF and RTV in the liver of hPXR/CYP3A4 and hPXR/Cyp3a-null mice. RTV had no effect on RIF metabolism and disposition (Supplemental Figure 6). However, pretreatment with RIF for 7 days significantly increased the metabolism and bioactivation pathways of RTV in the livers of hPXR/CYP3A4 mice, but not in hPXR/Cyp3a-null mice (Supplemental Figure 7). The major metabolism and bioactivation pathways of RTV were M1 followed by M13 (Supplemental Figure 7, A and B), and both metabolites are formed by CYP3A (20). Compared with the control group, the production of M1 and M13 increased 19- and 7-fold, respectively, in liver microsomes of hPXR/CYP3A4 mice pretreated with RIF (Supplemental Figure 7, C and D). Accompanied with M1, 2-isopropylthiazole-4-carbaldehyde (M1-1) was produced, which can be further metabolized to form an adduct with glutathione (GSH) (20). In addition, M13 and 2-methylpropanethioamide (M13-1) were isopropylthiazole ring-open metabolites of RTV. The ring-open metabolites of thiazole derivatives can be further oxidized and result in liver injury (29, 30). These data indicate that PXR-mediated CYP3A4 induction increases RTV bioactivation in the liver, which can potentially lead to liver damage.
CYP-mediated drug bioactivation can cause cellular stress (31, 32). Using a metabolomic approach, we found a dramatic increase in ophthalmic acid (OA), a biomarker of oxidative stress (33), in the livers of hPXR/CYP3A4 mice pretreated with RIF for 7 days followed by RTV, but not in hPXR/Cyp3a-null mice with the same treatment (Figure 3, A–D). In addition, pretreatment with RIF followed by RTV in hPXR/CYP3A4 mice caused upregulation of mRNAs encoded by genes that are involved in cellular responses to oxidative stress in the liver, including glutathione peroxidase 2 (Gpx2), carbonyl reductase 3 (Cbr3), and solute carrier family 25 member 24 (Slc25a24) (Figure 3, E–G). Similarly to the adverse drug interactions between RIF and RTV, lead-in treatment with the PXR activator EFV followed by RTV also caused oxidative stress in the livers of hPXR/CYP3A4 mice, but not in hPXR/Cyp3a-null mice (Supplemental Figure 8). These data indicate that pretreatment with PXR activators followed by RTV causes oxidative stress in the liver, which is dependent on CYP3A4.
Metabolomics reveals oxidative stress in the liver of hPXR/CYP3A4 mice pretreated with RIF for 7 days followed by RTV. Liver samples were analyzed by UPLC-QTOFMS. (A) Principal component analysis (PCA) of liver samples from control, RIF, RTV, and RIF/RTV groups of hPXR/CYP3A4 mice. (B) Loading S plots generated by orthogonal projections to latent structures discriminant analysis (OPLS-DA) analysis of liver samples. The x axis is a measure of the relative abundance of ions, and the y axis is a measure of the correlation of each ion to the model. OA, a biomarker of oxidative stress, was identified as a top-ranking ion in the RIF+RTV group. (C) Structural illustration of OA by tandem mass spectrometry (MS/MS) fragmental analysis. (D) Relative quantification of OA in the liver of hPXR/CYP3A4 and hPXR/Cyp3a-null mice. (E–G) The expressions of genes related to oxidative stress. Gpx2 (E), Cbr3 (F), and Slc25a24 (G) mRNAs were analyzed by quantitative PCR (qPCR). All data are shown as mean ± SEM. (n = 3–4). Statistical significance was determined by 2-way ANOVA with Tukey’s post hoc test. The data in the control group of hPXR/CYP3A4 mice were set as 1. ***P < 0.001; ****P < 0.0001.
Oxidative stress can lead to endoplasmic reticulum (ER) stress (34). Indeed, we found that the ER is a target organelle of RTV hepatotoxicity, as electron-microscopic analysis revealed massive ER dilation in hepatocytes of hPXR/CYP3A4 mice pretreated with RIF for 7 days followed by RTV (Figure 4A). In addition, lead-in treatment with RIF followed by RTV caused severe ER stress in the livers of hPXR/CYP3A4 mice, as indicated by increased expression of ER stress biomarker mRNAs, including C/EBP homologous protein (Chop), binding immunoglobulin protein (Bip), and cyclic AMP-dependent transcription factor 3 (Atf3) (Figure 4, B and C). ER stress also occurred in the livers of hPXR/CYP3A4 mice pretreated with EFV for 7 days followed by RTV, but not in hPXR/Cyp3a-null mice with the same treatment (Supplemental Figure 9). Persistent ER stress can lead to cell death (34). Concordantly, we observed a significant increase in the expression of mRNAs encoded by genes associated with cell death and tissue injury, including death receptor 5 (Dr5), BCL2-associated X (Bax), and monocyte chemoattractant protein 1 (Mcp1) in the liver of hPXR/CYP3A4 mice pretreated with RIF for 7 days followed by RTV, but not in hPXR/Cyp3a-null mice (Figure 4, D–F). These data suggest that lead-in treatment with PXR activators followed by RTV causes ER stress and hepatocellular injury and that it is CYP3A4 dependent.
ER is a target organelle in the hepatotoxicity associated with RIF pretreatment for 7 days followed by RTV. (A) Electron microscopic examination of the liver in hPXR/CYP3A4 mice pretreated with RIF followed by RTV. N, nucleus; †, dilated ER. Original magnification, ×4000. (B and C) ER stress in the liver of hPXR/CYP3A4 and hPXR/Cyp3a-null mice. Bip, Chop, and Atf3 were used as biomarkers of ER stress. Bip and Chop were analyzed by Western blotting. Gapdh was used as a loading control. Atf3 mRNA was analyzed by qPCR. (D–F) Expression of genes related to cell death and tissue injury in the liver of hPXR/CYP3A4 and hPXR/Cyp3a-null mice. Dr5 (D), Bax (E), and Mcp1 (F) mRNAs were analyzed by qPCR. All data are shown as mean ± SEM. (n = 3–4). The data in control groups of hPXR/CYP3A4 mice were set as 1. Statistical significance was determined by 2-way ANOVA with Tukey’s post hoc test. **P < 0.01; ***P < 0.001; ****P < 0.0001. (G) Schematic representation for the roles of human PXR and CYP3A4 in modulating RTV hepatotoxicity: (i) ligand-dependent activation of PXR upregulates CYP3A4 expression; (ii) overexpressed CYP3A4 is located in the ER; (iii) CYP3A4 catalyzes RTV to produce reactive metabolites; and (iv) ER is exposed to a high level of reactive metabolites of RTV, which leads to ER stress and hepatocellular injury.
The ER is critical for protein maturation, including posttranslational modification and proper folding (34). The activation of PXR, being a transcription factor, by ligands such as RIF and EFV upregulates a network of genes, including CYP3A4, and thus increases the workload of the ER for protein maturation and processing. On the other hand, CYP3A4 is located in the ER, and PXR-mediated CYP3A4 induction increases the production of RTV-reactive metabolites that can directly target the ER, leading to ER stress and hepatocellular injury (Figure 4G).
In summary, the current study demonstrated the essential roles of human PXR and CYP3A4 in RTV hepatotoxicity. These results can be used to develop novel strategies based upon PXR, CYP3A4, and their downstream pathways to improve the safety profile of RTV-containing regimens in the clinic.
Details of experimental procedures are provided in the Supplemental Methods. Primers are listed in Supplemental Table 1.
Statistics. GraphPad Prism 7.0 (GraphPad Software) was used for statistical analysis. All data are shown as mean ± SEM. One-way or 2-way ANOVA was used with Tukey’s post hoc test to compare the differences among multiple groups. Two-tailed unpaired Student’s t test was performed for statistical analysis between 2 groups. P value < 0.05 was considered statistically significant.
Study approval. All mice were handled in accordance with study protocols approved by the University of Pittsburgh Animal Care and Use Committee.
XM and AIS conceived the project and wrote the manuscript. AIS, JL, PW, JZ, YW, and XM performed the experiments. DY, WX, FJG, and XM contributed to the new reagents, analytic tools, and animal models. XM, WX, FJG, and DM contributed to the scientific discussion and experimental design.
This work was supported by the National Institute of Allergy and Infectious Diseases (AI131983) and in part by the National Institute of Diabetes and Digestive and Kidney Diseases (DK090305). We thank Wen-Xing Ding (University of Kansas Medical Center) and Donna B. Stolz (University of Pittsburgh) for the support on transmission electron microscope. We also thank Jane Maddigan for reviewing and editing the manuscript.
Address correspondence to: Xiaochao Ma, Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. Phone: 412.648.9448; Email: mxiaocha@pitt.edu.
Conflict of interest: The authors have declared that no conflict of interest exists.
Copyright: © 2019, American Society for Clinical Investigation.
Reference information: J Clin Invest. 2019;129(7):2898–2903.https://doi.org/10.1172/JCI128274.