Familial Resemblance in Low-Density Lipoprotein Cholesterol Response to Statins in the Danish Population.

Background Change in low-density lipoprotein cholesterol (LDL-C) level after statin initiation varies widely among individuals, and in part may be because of factors shared by family members. Methods and Results We used the Danish national registers to identify 89 006 individuals who initiated statins between 2008 and 2018 and had LDL-C measured immediately before and after the start of treatment. Among these, we identified 5148 first-degree relatives and 3198 spouses. We decomposed the variation in attained LDL-C level after statin initiation by applying a mixed-effect model with 5 variance components (inter-family and inter-individual variance in pre-statin LDL-C level, inter-family and inter-individual variance in statin response, and residual variance). Results were presented as a percentage of the total variance explained by the different variance components. We found that half of the variation in attained LDL-C level after statin initiation consisted of variance in statin response, approximately one third of variance in pre-statin LDL-C level, and the remaining 10% to 15% of residual variance. While the inter-individual variance in statin response accounted for almost half of the LDL-C variation in both cohorts, the inter-family variance in statin response accounted for 3.3% among first-degree relatives and for 6.0% among spouses. Conclusions Individual factors account for most of the variation in LDL-C level after statin initiation; factors affecting statin response common within spouses and first-degree relatives account for a similar share of variation. These results suggest a modest influence of shared genetics and shared familial environment on statin response.

Gene signature associated with resistance to fluvastatin chemoprevention for breast cancer.

BACKGROUND: Although targeting of the cholesterol pathway by statins prevents breast cancer development in mouse models, efficacy is not absolute. Therefore, the goal of this study is to investigate if the upregulation in the cholesterol biosynthesis pathway genes associates with response to statin chemoprevention and may potentially be used as response biomarkers. METHODS: Expression of cholesterol biosynthesis pathway genes was initially derived from the RNA sequencing of MCF10A cell line- based breast cancer progression model system and subsequently validated by quantitative PCR assay. Response to fluvastatin was assessed in vitro using the MCF10A cell line model system, including a statin resistant cell line that was generated (MCF10.AT1-R), and measured using colony forming assays. In vivo efficacy of statin for chemoprevention was assessed in the SV40C3 TAg mouse model. Mammary tumors were identified by histologic analysis of the mammary glands. Mammary glands without histologic evidence of high-grade lesions (in situ and/or invasive carcinoma) were considered responsive to statin treatment. RESULTS: We found more than 70% of a published multi-gene fluvastatin resistance signature to be significantly upregulated during breast cancer progression and inversely correlated with statin inhibition of cellular growth and proliferation. This inherent statin resistance gene signature was also largely shared with the signature of acquired resistance to fluvastatin in MCF10.AT1-R cell line model of acquired statin resistance. These inherent resistance genes and genes exclusive to acquired statin resistance map to steroid-, and terpenoid backbone- biosynthesis pathway. We found upregulation of ~ 80% of cholesterol biosynthesis pathway genes in the tumor bearing mammary glands of SV40 C3TAg transgenic mouse model of TNBC, suggesting the involvement of cholesterol biosynthesis pathway in resistance to statin chemoprevention in vivo. A panel of 13-genes from the pathway significantly associated with response to statin treatment, as did the expression level of HMGCR alone in a mouse model of breast cancer suggesting their utility to predict the efficacy of statin chemoprevention. CONCLUSIONS: High basal level, or restorative upregulation, in the cholesterol biosynthesis pathway genes appear to be strongly associated with resistance to statin chemoprevention for breast cancer and may serve as a biomarker to tailor statin treatment to individuals who are most likely to benefit.

The gut microbiota is associated with clinical response to statin treatment in patients with coronary artery disease.

BACKGROUND: The structure and composition of the gut microbiota influence patients' response to therapeutic interventions. It is also known that the response to statin treatment can vary greatly from one patient to another, suggesting a possible connection between microbiome composition and response to statins. In the present study, we aim to explore the influence of the microbiome composition on the response to statin treatment among patients with coronary artery disease (CAD). METHODS: A prospective cohort of 836 CAD patients enrolled from January 2016 to December 2017 was used to perform a nested case-control study. We divided 110 CAD patients into two groups according to their response to statins (good response group and poor response group) and compared their gut microbiota. RESULTS: Our analysis reveals no significant difference in microbiome between the two groups. However, significant differences were found in the relative proportion of numerous genera between GR and PR groups. Most remarkably, we could observe that a poor response to statin treatment correlates to a significant decrease in the abundance of beneficial bacteria for the lipid metabolism (Akkermansia muciniphila (A. muciniphila) and Lactobacillus) and a significant increase in the abundance of bacteria (Holdemanella and Facecallibacterium). CONCLUSIONS: Gut microbiota structure is associated with the response to statin. Our results suggest that manipulation of the gut microbiota composition can be an interesting and effective treatment strategy to blood lipid control among CAD patients.

Lipid profile and response to statin therapy in patients with hypopituitarism.

OBJECTIVE: Dyslipidemia is prevalent among patients with hypopituitarism, especially in those with growth hormone (GH) deficiency. This study aimed to evaluate the response to statin therapy among adult patients with dyslipidemia and hypopituitarism. METHODS: A total of 113 patients with hypopituitarism following up at a neuroendocrinology unit were evaluated for serum lipid levels. Dyslipidemia was diagnosed in 72 (63.7%) of these patients. A control group included 57 patients with dyslipidemia and normal pituitary function. The distribution of gender, age, weight, and dyslipidemia type was well balanced across both groups, and all participants were treated with simvastatin at doses adjusted to obtain normal lipid levels. RESULTS: Patients with hypopituitarism and dyslipidemia presented deficiency of TSH (69%), gonadotropins (69%), ACTH (64%), and GH (55%) and had a similar number of deficient pituitary axes compared with patients with hypopituitarism but without dyslipidemia. All patients with dyslipidemia (with and without hypopituitarism) had lipid levels well controlled with doses of simvastatin ranging from 20-40 mg/day. The mean daily dose of simvastatin was not significantly different between patients with and without hypopituitarism (26.7 versus 23.5 mg, p = 0.10). Similarly, no significant variation in simvastatin dose was observed between patients with different causes of hypopituitarism, presence or absence of GH deficiency, number of deficient pituitary axes, prior pituitary radiation therapy or not, and presence or absence of obesity. CONCLUSION: Patients with GH deficiency without GH replacement showed good response to simvastatin at a mean dose equivalent to that used in individuals with dyslipidemia and normal pituitary function.

Lipid profile and response to statin therapy in patients with hypopituitarism

ABSTRACT Objective: Dyslipidemia is prevalent among patients with hypopituitarism, especially in those with growth hormone (GH) deficiency. This study aimed to evaluate the response to statin therapy among adult patients with dyslipidemia and hypopituitarism. Subjects and methods: A total of 113 patients with hypopituitarism following up at a neuroendocrinology unit were evaluated for serum lipid levels. Dyslipidemia was diagnosed in 72 (63.7%) of these patients. A control group included 57 patients with dyslipidemia and normal pituitary function. The distribution of gender, age, weight, and dyslipidemia type was well balanced across both groups, and all participants were treated with simvastatin at doses adjusted to obtain normal lipid levels. Results: Patients with hypopituitarism and dyslipidemia presented deficiency of TSH (69%), gonadotropins (69%), ACTH (64%), and GH (55%) and had a similar number of deficient pituitary axes compared with patients with hypopituitarism but without dyslipidemia. All patients with dyslipidemia (with and without hypopituitarism) had lipid levels well controlled with doses of simvastatin ranging from 20-40 mg/day. The mean daily dose of simvastatin was not significantly different between patients with and without hypopituitarism (26.7 versus 23.5 mg, p = 0.10). Similarly, no significant variation in simvastatin dose was observed between patients with different causes of hypopituitarism, presence or absence of GH deficiency, number of deficient pituitary axes, prior pituitary radiation therapy or not, and presence or absence of obesity. Conclusions: Patients with GH deficiency without GH replacement showed good response to simvastatin at a mean dose equivalent to that used in individuals with dyslipidemia and normal pituitary function.

Comparative analysis of the gut microbiota in distinct statin response patients in East China.

Statin response shows great interindividual variations. Recently, emerging studies have shown that gut microbiota is linked to therapeutic responses to drugs, including statins. However, the association between the gut bacteria composition and statin response is still unclear. In this study, gut microbiota of 202 hyperlipidemic patients with statin sensitive (SS) response and statin resistant (SR) response in East China were investigated by high throughput sequencing to compare the gut bacteria composition and biodiversity in distinct statin response patients. Higher biodiversity was detected in Group SS than Group SR. Specifically, group SS showed significantly increased proportion of genera Lactobacillus (P = 0.001), Eubacterium (P = 0.004), Faecalibacterium (P = 0.005), and Bifidobacterium (P = 0.002) and decreased proportion of genus Clostridium (P = 0.001) compared to Group SR. The results indicated that higher gut biodiversity was associated with statin sensitive response. The increased genera Lactobacillus, Eubacterium, Faecalibacterium, Bifidobacterium, and decreased genus Clostridium in patient gut microbiota may predict patient's statin response, and hence may guide statin dosage adjustments.