Genetic variation in the renin-angiotensin system modifies the beneficial effects of ACE inhibitors on the risk of diabetes mellitus among hypertensives

Drug-induced hyperglycaemia and diabetes: pharmacogenomics perspectives

Drug-induced diabetes is widely reported in clinical conditions, and it is becoming a global issue because of its potential to increase the risk of severe cardiovascular complications. However, which drug mechanisms exert their diabetogenic effects and why the effects present significant inter-individual differences remain largely unknown. Pharmacogenomics, which is the study of how genomic variation influences drug responses, provides an explanation for individual differences in drug-induced diabetes. We highlight that pharmacogenomics can be involved in regulating the expression of genes in signaling pathways related to the pharmacokinetics or pharmacodynamics of drugs or the pathogenesis of diabetes, contributing to the differences in drug-induced glucose impairment. The pharmacogenomics studies of the major diabetogenic drugs are reviewed, including calcineurin inhibitors, antipsychotics, hormones, and antihypertensive drugs. We intend to elucidate the genetic basis of drug-induced diabetes and pave the way for the precise use of these drugs in the clinic.

Running training experience attenuates disuse atrophy in fast-twitch skeletal muscles of rats

Responsiveness to physiological stimuli, such as exercise and muscular inactivation, differs in individuals. However, the mechanisms responsible for these individual differences remain poorly understood. We tested whether a prior experience of exercise training affects the responses of skeletal muscles to unloading. Young rats were assigned to perform daily running training with a treadmill for 8 wk. After an additional 8 wk of normal habitation, the rats were hindlimb unloaded by tail suspension for 1 wk. Fast-twitch plantaris, gastrocnemius, and tibialis anterior muscles did not atrophy after unloading in rats with training experience, although soleus muscle lost weight similar to sedentary rats. We also analyzed the transcriptome in plantaris muscle with RNA sequencing followed by hierarchical clustering analysis and found that a subset of genes that were generally upregulated in sedentary rats after unloading were less responsive in rats with training experience. The distribution of histone 3 was diminished at the loci of these genes during the training period. Although the deposition of histone 3 was restored after an additional period of normal habitation, the incorporation of H3.3 variant was promoted in rats with training experience. This remodeling of nucleosomes closely correlated to the conformational changes of chromatin and suppressed gene expression in response to unloading. These results suggest that exercise training stimulated the early turnover of histone components, which may alter the responsiveness of gene transcription to physiological stimuli.NEW & NOTEWORTHY The present study demonstrates that disuse atrophy was suppressed in fast-twitch skeletal muscles of rats with training experience in early life. We also found a subset of genes that were less responsive to unloading in the muscle of rats with training experience. It was further determined that exercise training caused an early turnover of nucleosome components, which may alter the responsiveness of genes to stimulus in later life.

A1166C polymorphism of the angiotensin II type 1 receptor gene contributes to hypertension susceptibility: evidence from a meta-analysis

Background The angiotensin II type 1 receptor (AT1R) gene is a prime candidate for polymorphisms that could contribute to hypertension. A polymorphism in the 3' untranslated region, leading to the transversion of adenine to cytosine at position 1166, has been the most-studied variant. However, the results have been inconsistent, and we therefore performed a meta-analysis to evaluate the association of this polymorphism with hypertension. Methods We conducted an extended a computer-based literature search of PubMed and Web of Knowledge up to November 30, 2015. The extracted data were analysed statistically, and pooled odds ratios with 95% confidence intervals were calculated to assess the strengths of associations using Review Manager software (version 5.2). Results After removing 5 studies that were not consistent with the Hardy-Weinberg equilibrium, we finally collected 41 case-control studies involving 11,837 cases and 11,020 controls to evaluate the association between AT1R polymorphisms and hypertension. We found that the risk of hypertension was higher for allele C than for allele A under the codominant model, significantly higher for genotype CC + AC than for genotype AA under the dominant model, and significantly higher for genotype CC + AC in Caucasians. Conclusion This meta-analysis suggests that the AT1R 1166 CC + AC genotype consistently confers susceptibility to hypertension and that early preventive measures should be applied in clinical settings according to patient genotypes.

Deep-targeted exon sequencing reveals renal polymorphisms associate with postexercise hypotension among African Americans

We found variants from the Angiotensinogen-Converting Enzyme (ACE), Angiotensin Type 1 Receptor (AGTR1), Aldosterone Synthase (CYP11B2), and Adducin (ADD1) genes exhibited intensity-dependent associations with the ambulatory blood pressure (BP) response following acute exercise, or postexercise hypotension (PEH). In a validation cohort, we sequenced exons from these genes for their associations with PEH Obese (30.9 ± 3.6 kg m-2) adults (n = 23; 61% African Americans [AF], 39% Caucasian) 42.0 ± 9.8 years with hypertension (139.8 ± 10.4/84.6 ± 6.2 mmHg) completed three random experiments: bouts of vigorous and moderate intensity cycling and control. Subjects wore an ambulatory BP monitor for 19 h. We performed deep-targeted exon sequencing using the Illumina TruSeq Custom Amplicon kit. Variant genotypes were coded as number of minor alleles (#MA) and selected for further statistical analysis based upon Bonferonni or Benjamini-Yekutieli multiple testing corrected p-values under time adjusted linear models for 19 hourly BP measurements per subject. After vigorous intensity over 19 h among ACE, AGTR1, CYP11B2, and ADD1 variants passing multiple testing thresholds, as the #MA increased, systolic (SBP) and/or diastolic BP decreased 12 mmHg (P = 4.5E-05) to 30 mmHg (P = 6.4E-04) among AF only. In contrast, after moderate intensity over 19 h among ACE and CYP11B2 variants passing multiple testing thresholds, as the #MA increased, SBP increased 21 mmHg (P = 8.0E-04) to 22 mmHg (P = 8.2E-04) among AF only. In this replication study, ACE, AGTR1, CYP11B2, and ADD1 variants exhibited associations with PEH after vigorous, but not moderate intensity exercise among AF only. Renal variants should be explored further with a multi-level "omics" approach for associations with PEH among a large, ethnically diverse sample of adults with hypertension.

Application of routine electronic health record databases for pharmacogenetic research

Inter-individual variability in drug responses is a common problem in pharmacotherapy. Several factors (non-genetic and genetic) influence drug responses in patients. When aiming to obtain an optimal benefit-risk ratio of medicines and with the emergence of genotyping technology, pharmacogenetic studies are important for providing recommendations on drug treatments. Advances in electronic healthcare information systems can contribute to increasing the quality and efficiency of such studies. This review describes the definition of pharmacogenetics, gene selection and study design for pharmacogenetic research. It also summarizes the potential of linking pharmacoepidemiology and pharmacogenetics (along with its strengths and limitations) and provides examples of pharmacogenetic studies utilizing electronic health record databases.

Estimating measures of interaction on an additive scale for preventive exposures

Measures of interaction on an additive scale (relative excess risk due to interaction [RERI], attributable proportion [AP], synergy index [S]), were developed for risk factors rather than preventive factors. It has been suggested that preventive factors should be recoded to risk factors before calculating these measures. We aimed to show that these measures are problematic with preventive factors prior to recoding, and to clarify the recoding method to be used to circumvent these problems. Recoding of preventive factors should be done such that the stratum with the lowest risk becomes the reference category when both factors are considered jointly (rather than one at a time). We used data from a case-control study on the interaction between ACE inhibitors and the ACE gene on incident diabetes. Use of ACE inhibitors was a preventive factor and DD ACE genotype was a risk factor. Before recoding, the RERI, AP and S showed inconsistent results (RERI = 0.26 [95%CI: -0.30; 0.82], AP = 0.30 [95%CI: -0.28; 0.88], S = 0.35 [95%CI: 0.02; 7.38]), with the first two measures suggesting positive interaction and the third negative interaction. After recoding the use of ACE inhibitors, they showed consistent results (RERI = -0.37 [95%CI: -1.23; 0.49], AP = -0.29 [95%CI: -0.98; 0.40], S = 0.43 [95%CI: 0.07; 2.60]), all indicating negative interaction. Preventive factors should not be used to calculate measures of interaction on an additive scale without recoding.

Genetic variation in the renin—angiotensin system, use of renin—angiotensin system inhibitors and the risk of myocardial infarction

Introduction. This study investigated whether variation in the genes encoding for ACE, AGT and AGTR1 modifies the risk of myocardial infarction (MI) related to ACE inhibitors and AT II antagonists.

Methods. A nested case-control study among users of antihypertensive drugs, in whom the polymorphisms ACE-G4656C, ACE-T3892C, AGT-C235T and AGTR1-A1166C were genotyped.

Results. Among 613 cases and 3630 controls, the risk of MI was significantly lower among users of ACE inhibitors compared with that in users of other antihypertensives (adjusted OR, 0.78; 95% CI, 0.63—0.97). In patients using ACE inhibitors the largest risk reduction was found in patients carrying the ACE-4656-G allele (GC and GG genotypes) compared with patients carrying the CC genotype (OR, 0.68; 95% CI, 0.53—0.86 and OR, 1.26, 95% CI, 0.78—2.02, respectively). The synergy index for this interaction was statistically significant (SI, 0.58; 95% CI, 0.35—0.95). The risk of MI was reduced in those who were current users of ACE inhibitors those who had been prescribed dosages lower than the equivalent of 1 defined daily dose (DDD) and those having the AGTR1-1166AC or AA genotype compared with that in users of ACE inhibitors with the AGTR1-1166CC genotype (SI, 3.67; 95% CI,1.18—11.4). None of the polymorphisms modified the effectiveness of AT II antagonists regarding the risk of MI.

Conclusion. This study shows an interaction between the use of ACE inhibitors and ACE-G4656C polymorphism, and in low doses also with AGTR1-A1166C polymorphism, in the prevention of MI.

Genotypic interactions of renin-angiotensin system genes with diabetes type 2 in a Tunisian population

AIMS

To explore the role of genetic variants of angiotensinogen (AGT M235T), angiotensin-converting enzyme (ACE I/D), and angiotensin type 1 receptor (AT1R A1166C) as predictors of diabetes risk and to examine their combined effects on type 2 diabetes mellitus (T2DM) patients.

MAIN METHODS

One hundred and fourteen T2DM patients were compared to 175 healthy controls with similar age and sex.

KEY FINDINGS

The genotypic frequencies for all three genes alone were significantly associated with increased risk of developing diabetes. Logistic regression analysis of classic coronary risk factors and the genetic polymorphisms demonstrated that hypertension and ACE DD genotype were the most significant contributors to T2DM. For the renin-angiotensin system (RAS) genes, the risk of T2DM in individuals with one risk genotype was 1.9 (95%CI: 1.1-3.0, p=0.017) higher than those with zero risk genotype. Individuals who carried two risk genotypes had a 4.0 (95%CI 1.7-9.4, p=0.001) times higher risk of T2DM than those who did not carry any risk genotypes of the RAS genes. Most interestingly, the risk of T2DM for individuals with three risk genotypes was 26.2 (95%CI: 5.8-117.9, p<0.001) higher than those with zero risk genotype.

SIGNIFICANCE

The results of the present study imply that genotyping of renin-angiotensin system genes could become an important part of the clinical process of risk identification for T2DM in Tunisian population.

Renin-angiotensin system polymorphisms and the association between use of angiotensin II receptor blockers or angiotensin-converting enzyme inhibitors and the risk of diabetes

Introduction. We assessed the influence of genetic polymorphisms in the renin-angiotensin system on the risk of diabetes associated with the use of angiotensin II receptor blockers and angiotensin-converting enzyme (ACE) inhibitors.

Materials and methods. We performed a matched case-control study among antihypertensive drug users. Pharmacy records and questionnaires were used to ascertain incident diabetes (cases), antihypertensive drug use, and risk factors. Controls did not (yet) have diabetes.We genotyped ACE (G4656C, which is in complete linkage disequilibrium with the ACE insertion/deletion polymorphism), angiotensinogen (M235T), and angiotensin II type 1 receptor (A1166C).

Results. Among 495 cases of incident diabetes and 2,624 controls, homozygous 1166C carriers of angiotensin II type 1 receptor who used angiotensin II receptor blockers had an increased risk of diabetes compared to 1166A carriers (interaction odds ratio 5.3 [95% confidence interval: 1.8-16.1]). Homozygous ACE GG subjects who used ACE inhibitors ≥ 1 defined daily dose/day had a higher risk of diabetes compared to subjects with the ACE C allele (interaction odds ratio 2.3 [95% confidence interval: 1.2-4.5]).

Conclusions. Angiotensin II receptor blockers increase the occurrence of diabetes in homozygous 1166C carriers of angiotensin II type 1 receptor, but not in 1166A carriers. ACE inhibitors at doses ≥ 1 defined daily dose/day increase the risk of diabetes among homozygous ACE GG carriers, but not in 4656C carriers.