ABCG2 Deficiency Does Not Alter Dolutegravir Metabolism and Pharmacokinetics

Impact of Genetic Variants in ABCG2 , NR1I2 , and UGT1A1 on the Pharmacokinetics of Dolutegravir in Children

BACKGROUND

Dolutegravir plasma concentrations and pharmacokinetic (PK) parameters in children display considerable variability. Here, the impact of genetic variants in ABCG2 421C>A (rs2231142), NR1I2 63396 C>T (rs2472677), and UGT1A1 (rs5839491) on dolutegravir PK was examined.

METHODS

Children defined by age and administered dolutegravir formulation had AUC 24 at steady state, C max and C 24h determined. Associations between genetic variants and PK parameters were assessed using the dominant inheritance model.

RESULTS

The 59 children studied had a median age of 4.6 years, log 10 plasma HIV RNA of 4.79 (copies/mm 3 ), and CD4 + lymphocyte count of 1041 cells/mm 3 ; 51% were female. For ABCG2 , participants with ≥1 minor allele had lower adjusted mean AUC difference (hr*mg/L) controlling for weight at entry, cohort and sex (-15.7, 95% CI: [-32.0 to 0.6], P = 0.06), and log 10 C max adjusted mean difference (-0.15, 95% CI: [-0.25 to -0.05], P = 0.003). Participants with ≥1 minor allele had higher adjusted mean AUC difference (11.9, 95% CI: [-1.1 to 25.0], P = 0.07). For UGT1A1 , poor metabolizers had nonsignificant higher concentrations (adjusted log 10 C max mean difference 11.8; 95% CI: [-12.3 to 36.0], P = 0.34) and lower mean log 10 adjusted oral clearance -0.13 L/h (95% CI: [-0.3 to 0.06], P = 0.16). No association was identified between time-averaged AUC differences by genotype for adverse events, plasma HIV RNA, or CD4 + cell counts.

CONCLUSIONS

Dolutegravir AUC 24 for genetic variants in ABCG2 , NR1l2 , and UGT1A1 varied from -25% to +33%. These findings help to explain some of the variable pharmacokinetics identified with dolutegravir in children.

Metabolism-guided development of Ko143 analogs as ABCG2 inhibitors

ATP-binding cassette subfamily G member 2 (ABCG2), an efflux transporter, is involved in multiple pathological processes. Ko143 is a potent ABCG2 inhibitor; however, it is quickly metabolized through carboxylesterase 1-mediated hydrolysis of its t-butyl ester moiety. The current work aimed to develop more metabolically stable ABCG2 inhibitors. Novel Ko143 analogs were designed and synthesized by replacing the unstable t-butyl ester moiety in Ko143 with an amide group. The synthesized Ko143 analogs were evaluated for their ABCG2 inhibitory activity, binding mode with ABCG2, cytotoxicity, and metabolic stability. We found that the amide modification of Ko143 led to metabolically stable ABCG2 inhibitors. Among these Ko143 analogs, K2 and K34 are promising candidates with favorable oral pharmacokinetic profiles in mice. In summary, we synthesized novel Ko143 analogs with improved metabolic stability, which can potentially be used as lead compounds for the future development of ABCG2 inhibitors.

Drug-drug interactions that alter the exposure of glucuronidated drugs: Scope, UDP-glucuronosyltransferase (UGT) enzyme selectivity, mechanisms (inhibition and induction), and clinical significance

Drug-drug interactions (DDIs) arising from the perturbation of drug metabolising enzyme activities represent both a clinical problem and a potential economic loss for the pharmaceutical industry. DDIs involving glucuronidated drugs have historically attracted little attention and there is a perception that interactions are of minor clinical relevance. This review critically examines the scope and aetiology of DDIs that result in altered exposure of glucuronidated drugs. Interaction mechanisms, namely inhibition and induction of UDP-glucuronosyltransferase (UGT) enzymes and the potential interplay with drug transporters, are reviewed in detail, as is the clinical significance of known DDIs. Altered victim drug exposure arising from modulation of UGT enzyme activities is relatively common and, notably, the incidence and importance of UGT induction as a DDI mechanism is greater than generally believed. Numerous DDIs are clinically relevant, resulting in either loss of efficacy or an increased risk of adverse effects, necessitating dose individualisation. Several generalisations relating to the likelihood of DDIs can be drawn from the known substrate and inhibitor selectivities of UGT enzymes, highlighting the importance of comprehensive reaction phenotyping studies at an early stage of drug development. Further, rigorous assessment of the DDI liability of new chemical entities that undergo glucuronidation to a significant extent has been recommended recently by regulatory guidance. Although evidence-based approaches exist for the in vitro characterisation of UGT enzyme inhibition and induction, the availability of drugs considered appropriate for use as 'probe' substrates in clinical DDI studies is limited and this should be research priority.

Genetic Associations with Weight Gain among South Africans who Initiated Dolutegravir-Containing and Tenofovir-Containing Regimens

BACKGROUND

Excessive weight gain affects some HIV-positive individuals prescribed dolutegravir-containing regimens. Mechanisms underlying such weight gain are unknown.

SETTING

Data and DNA from antiretroviral therapy-naïve participants who were randomized to initiate dolutegravir with emtricitabine plus either tenofovir alafenamide (TAF) or tenofovir disoproxil fumarate (TDF) in the ADVANCE study (NCT03122262) were used to characterize associations between human genetic polymorphisms and magnitude of weight gain.

METHODS

Associations with percent weight gain from baseline to week 48 were assessed using multivariable linear regression models. Primary analyses a priori considered 59 polymorphisms and 10 genes of potential relevance to dolutegravir, TAF, or TDF pharmacokinetics. We also explored genome-wide associations.

RESULTS

Among the 314 (92%) of 340 dolutegravir recipients who were successfully genotyped, 160 (47%) and 154 (45%) were randomized to TAF/emtricitabine and TDF/emtricitabine, respectively. In target gene analyses, the lowest P-values for the dolutegravir and tenofovir groups were ABCG2 rs4148149 (P = 7.0 × 10-4) and ABCC10 rs67861980 (P = 1.0 × 10-2), respectively, which were not significant after correction for multiple testing. In genome-wide analyses, the lowest P-values were rs7590091 in TMEM163 (P = 3.7 × 10-8) for dolutegravir, rs17137701 in LOC105379130 (P = 6.4 × 10-8) for TAF, and rs76771105 in LOC105371716 (P = 9.7 × 10-8) for TDF.

CONCLUSIONS

Among South African participants in a randomized clinical trial of dolutegravir plus either TAF/emtricitabine or TDF/emtricitabine, we identified several potential genetic associations with weight gain. Only TMEM163 rs7590091 withstood correction for multiple testing. These associations warrant replication in other cohorts.