Extreme Phenotype Sampling and Next Generation Sequencing to Identify Genetic Variants Associated with Tacrolimus in African American Kidney Transplant Recipients.

African American (AA) kidney transplant recipients (KTRs) have poor outcomes, which may in-part be due to tacrolimus (TAC) sub-optimal immunosuppression. We previously determined the common genetic regulators of TAC pharmacokinetics in AAs which were CYP3A5 *3, *6, and *7. To identify low-frequency variants that impact TAC pharmacokinetics, we used extreme phenotype sampling and compared individuals with extreme high (n=58) and low (n=60) TAC troughs (N=515 AA KTRs). Targeted next generation sequencing was conducted in these two groups. Median TAC troughs in the high group were 7.7 ng/ml compared with 6.3 ng/ml in the low group, despite lower daily doses of 5 versus 12mg, respectively. Of 34,542 identified variants across 99 genes, 1,406 variants were suggestively associated with TAC troughs in univariate models (p-value <0.05), however none were significant after multiple testing correction. We suggest future studies investigate additional sources of TAC pharmacokinetic variability such as drug-drug-gene interactions and pharmacomicrobiome.

Pharmacomicrobiomics: Immunosuppressive Drugs and Microbiome Interactions in Transplantation.

The human microbiome is associated with human health and disease. Exogenous compounds, including pharmaceutical products, are also known to be affected by the microbiome, and this discovery has led to the field of pharmacomicobiomics. The microbiome can also alter drug pharmacokinetics and pharmacodynamics, possibly resulting in side effects, toxicities, and unanticipated disease response. Microbiome-mediated effects are referred to as drug-microbiome interactions (DMI). Rapid advances in the field of pharmacomicrobiomics have been driven by the availability of efficient bacterial genome sequencing methods and new computational and bioinformatics tools. The success of fecal microbiota transplantation for recurrent Clostridioides difficile has fueled enthusiasm and research in the field. This review focuses on the pharmacomicrobiome in transplantation. Alterations in the microbiome in transplant recipients are well documented, largely because of prophylactic antibiotic use, and the potential for DMI is high. There is evidence that the gut microbiome may alter the pharmacokinetic disposition of tacrolimus and result in microbiome-specific tacrolimus metabolites. The gut microbiome also impacts the enterohepatic recirculation of mycophenolate, resulting in substantial changes in pharmacokinetic disposition and systemic exposure. The mechanisms of these DMI and the specific bacteria or communities of bacteria are under investigation. There are little or no human DMI data for cyclosporine A, corticosteroids, and sirolimus. The available evidence in transplantation is limited and driven by small studies of heterogeneous designs. Larger clinical studies are needed, but the potential for future clinical application of the pharmacomicrobiome in avoiding poor outcomes is high.

Reduced Enterohepatic Recirculation of Mycophenolate and Lower Blood Concentrations Are Associated with the Stool Bacterial Microbiome after Hematopoietic Cell Transplantation.

Mycophenolate mofetil (MMF) is an important immunosuppressant used after allogeneic hematopoietic cell transplantation (HCT). MMF has a narrow therapeutic index, and blood concentrations of mycophenolic acid (MPA), the active component of MMF, are highly variable. Low MPA concentrations are associated with the risk of graft-versus-host disease (GVHD), whereas high concentrations are associated with toxicity. Reasons for variability are not well known and may include the presence of ß-glucuronidase-producing bacteria in the gastrointestinal tract, which enhance MPA enterohepatic recirculation (EHR) by transforming MPA metabolites formed in the liver back to MPA. This study was conducted to determine whether individuals with high MPA EHR have a greater abundance of ß-glucuronidase-producing bacteria in their stool and higher MPA concentrations compared with those with low EHR. We conducted a pharmacomicrobiomics study in 20 adult HCT recipients receiving a myeloablative or reduced-intensity preparative regimen. Participants received MMF 1 g i.v. every 8 hours with tacrolimus. Intensive pharmacokinetic sampling of MMF was conducted before hospital discharge; total MPA, MPA glucuronide (MPAG), and acyl-glucuronide metabolite (acylMPAG) were measured. EHR was defined as the ratio of MPA area under the concentration-versus-time curve (AUC)4-8 to MPA AUC0-8. Differences in stool microbiome diversity and composition, determined by shotgun metagenomic sequencing, were compared above and below the median EHR (22%; range, 5% to 44%). The median EHR was 12% in the low EHR group and 29% in the high EHR group. MPA troughs, MPA AUC4-8, and acyl-glucuronide metabolite (acylMPAG) AUC4-8/AUC0-8 ratio were greater in the high EHR group compared with the low EHR group (1.53 µg/mL versus .28 µg/mL [P = .0001], 7.33 hour·µg/mL versus 1.79 hour·µg/mL [P = .0003], and .33 hour·µg/mL versus .24 hour·µg/mL [P = .0007], respectively). MPA AUC0-8 was greater in the high EHR group than in the low EHR group, and the difference trended toward significance (22.8 hour·µg/mL versus 15.3 hour·µg/mL; P = .06). Bacteroides vulgatus, Bacteroides stercoris, and Bacteroides thetaiotaomicron were 1.2- to 2.4-fold more abundant (P = .039, .024, and .046, respectively) in the high EHR group. MPA EHR was positively correlated with B. vulgatus (⍴ = .58; P ≤ .01) and B. thetaiotaomicron (⍴ = .46; P < .05) and negatively correlated with Blautia hydrogenotrophica (⍴ = -.53; P < .05). Therapeutic MPA troughs were achieved in 80% of patients in the high EHR group but in no patients in the low EHR group. There was a trend toward differences in MPA AUC0-8 and MPA concentration at steady-state (µg/mL) between the high EHR group versus the low EHR group (P = .06). MPA EHR was variable. Patients with high MPA EHR had greater abundance of Bacteroides species in stool and higher MPA exposure compared with patients with low MPA EHR. Therefore, Bacteroides may be protective against poor outcomes, such as graft-versus-host disease, in some patients but may increase the risk of MPA adverse effects in others. These data need to be confirmed and studied after oral MMF therapy.