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Impact of LDLR polymorphisms on lipid levels and atorvastatin’s efficacy in a northern Chinese adult Han cohort with dyslipidemia

Lipids in Health and Disease volume 23, Article number: 106 (2024) Cite this article

Abstract

Background

Dyslipidemia, a significant risk factor for atherosclerotic cardiovascular disease (ASCVD), is influenced by genetic variations, particularly those in the low-density lipoprotein receptor (LDLR) gene. This study aimed to elucidate the effects of LDLR polymorphisms on baseline serum lipid levels and the therapeutic efficacy of atorvastatin in an adult Han population in northern China with dyslipidemia.

Methods

In this study, 255 Han Chinese adults receiving atorvastatin therapy were examined and followed up. The 3’ untranslated region (UTR) of the LDLR gene was sequenced to identify polymorphisms. The associations between gene polymorphisms and serum lipid levels, as well as changes in lipid levels after intervention, were evaluated using the Wilcoxon rank sum test, with a P < 0.05 indicating statistical significance. Assessment of linkage disequilibrium patterns and haplotype structures was conducted utilizing Haploview.

Results

Eleven distinct polymorphisms at LDLR 3’ UTR were identified. Seven polymorphisms (rs1433099, rs14158, rs2738466, rs5742911, rs17249057, rs55971831, and rs568219285) were correlated with the baseline serum lipid levels (P < 0.05). In particular, four polymorphisms (rs14158, rs2738466, rs5742911, and rs17249057) were in strong linkage disequilibrium (r2 = 1), and patients with the AGGC haplotype had higher TC and LDL-C levels at baseline. Three polymorphisms (rs1433099, rs2738467, and rs7254521) were correlated with the therapeutic efficacy of atorvastatin (P < 0.05). Furthermore, carriers of the rs2738467 T allele demonstrated a significantly greater reduction in low-density lipoprotein cholesterol (LDL-C) levels post-atorvastatin treatment (P = 0.03), indicating a potentially crucial genetic influence on therapeutic outcomes. Two polymorphisms (rs751672818 and rs566918949) were neither correlated with the baseline serum lipid levels nor atorvastatin’s efficacy.

Conclusions

This research outlined the complex genetic architecture surrounding LDLR 3’ UTR polymorphisms and their role in lipid metabolism and the response to atorvastatin treatment in adult Han Chinese patients with dyslipidemia, highlighting the importance of genetic profiling in enhancing tailored therapeutic strategies. Furthermore, this investigation advocates for the integration of genetic testing into the management of dyslipidemia, paving the way for customized therapeutic approaches that could significantly improve patient care.

Trial registration

This multicenter study was approved by the Ethics Committee of Xiangya Hospital Central South University (ethics number K22144). It was a general ethic. In addition, this study was approved by The First Hospital of Hebei Medical University (ethics number 20220418).

Background

Dyslipidemia, characterized by abnormal lipid levels, emerges from complex interactions among genetics, lifestyle factors, metabolic stress, and autophagy [1,2,3,4,5,6,7]. Dyslipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD) which is the leading cause of death among Chinese urban and rural residents, and it accounts for more than 40% of deaths [8]. Epidemiological, genetic, and clinical intervention studies have identified low-density lipoprotein cholesterol (LDL-C) as a causal factor in ASCVD [9].

Statins, widely used to manage dyslipidemia, primarily mitigate ASCVD risk by effectively lowering LDL-C levels [10,11,12]. Despite widespread statin use, response varies due to multiple factors, including variations at the low-density lipoprotein receptor (LDLR) [13,14,15]. Numerous studies [16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39] have focused primarily on patients with familial hypercholesterolemia (FH) and have mostly examined coding regions and promoters of the LDLR gene. However, polymorphisms in the LDLR 3’ UTR have seldom been reported in the context of patients with dyslipidemia. A recent study revealed that variations in the LDLR 3’ UTR interfere with miRNA: mRNA interactions, which may impact gene expression and could be linked to FH [40].

This study investigated the impact of LDLR 3’ UTR polymorphisms on lipid levels before and after atorvastatin treatment in adult Chinese Han patients with dyslipidemia, offering significant insights into the genetic factors influencing serum lipid regulation and the potential effects on atorvastatin treatment outcomes. On one hand, this study provides an evidence for screening potential dyslipidemia population; on the other, it could help to identify the patients who benefit the most from taking atorvastatin, providing a strong guidance for clinical individualized precision treatment.

Methods

Study Population

This study enrolled 255 adult Chinese Han patients admitted to The First Hospital of Hebei Medical University between June 2022 and July 2023. All participants were prescribed a daily 20 mg dose of atorvastatin and underwent quarterly follow-up evaluations conducted by a skilled investigative team. Written informed consent confirming voluntary participation was obtained from each patient. This multicenter study was approved by the Ethics Committee of Xiangya Hospital Central South University (ethics number K22144). Ethical approval was also obtained from The First Hospital of Hebei Medical University (20220418).

Data Collection

Baseline demographic characteristics, such as sex and age, were collected via interviews using a uniform questionnaire administered by trained researchers. Measurements of height and weight were taken at the nurse’s station by experienced nurses, and the body mass index (BMI) was determined by dividing the weight (in kilograms) by the square of the height (in meters).The blood of the participants was drawn from the antecubital vein in a fasting state by skilled nurses to measure triglyceride (TG), total cholesterol (TC), LDL-C, and high-density lipoprotein cholesterol (HDL-C) levels. All clinical investigations were conducted in accordance with the principles of the Declaration of Helsinki. At each follow-up, TG, TC, LDL-C and HDL-C levels were measured.

DNA sequencing

From each enrolled patient, 2 ml of peripheral venous blood was collected for genomic DNA extraction using the Magnetic Blood Genomic DNA Kit (DP329, Tiangen Biotech Co., Ltd., Beijing, China). The DNA concentration was quantified with the Qubit® dsDNA HS Assay Kit (Yeasen Biotechnology Co., Ltd, Shanghai, China) according to the manufacturer’s protocol. The DNBSEQ-T7 sequencer (MGI Tech Co., Ltd, Shenzhen, China) was used for high-throughput sequencing of the DNA captured from a pharmacogenetics panel with reads of 150 bp in length.

SNP calling and genotyping

High-quality sequencing reads were derived by filtering out adapters, unknown bases, and low-quality bases with Trimmomatic (v0.36) [41]. The high-quality reads were aligned to the human reference genome hg19 using the Burrows-Wheeler Aligner (BWA, v0.7.15) with the default parameters [42]. The Genome Analysis Toolkit (GATK, v3.8) was used for indel realignment, quality score recalibration, polymorphism calling, and genotyping (using Haplotype Caller) [43].

Statistical analysis

Changes in serum lipid levels were quantified by calculating the difference from baseline to follow-up. The Δ%TG, Δ%TC, Δ%LDL-C, and Δ%HDL-C, represented the percentage changes in TG, TC, LDL-C and HDL-C, respectively. Associations between gene polymorphisms and serum lipid levels, including changes post-intervention, were evaluated with the Wilcoxon rank sum test. A P threshold of less than 0.05 indicated statistical significance. Assessment of linkage disequilibrium patterns and haplotype structures was conducted using Haploview software [44].

Results

Baseline characteristics of the study cohort

The baseline demographics of the 255 study participants are outlined in Table 1. The cohort predominantly comprised males (approximately 69%), and the majority of patients (over 78%) were aged between 50 and 80 years. A significant proportion of the patients (more than 70%) had a BMI greater than 24 kg/m².

Table 1 Baseline characteristics of the patients in this study
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Distribution and frequency of LDLR polymorphisms

Eleven distinct LDLR polymorphisms within the 3’ UTR were identified across the study population, as detailed in Fig. 1 and Supplemental Table 1. The polymorphisms rs14158, rs2738466, rs5742911, and rs17249057 were identified concurrently in 255 patients, indicating an inheritance pattern. The genotype distribution for these four polymorphisms was that 94 patients (36.86%) were wild, 125 (49.02%) were heterozygous, and 36 (14.12%) were homozygous. The rs1433099 mutant allele was common, occurring in heterozygosity in 38.04% and in homozygosity in 53.73% of patients. The rs2738467 mutant allele was found in heterozygous form in 25.88% of patients and in homozygous form in 2.75% of patients. The rs55971831 mutant allele was present in 26.67% of patients, all of whom were heterozygous for the mutation. The rs751672818 mutant allele occurred in 3.53% of patients, exclusively in heterozygous form. The mutant alleles of rs568219285, rs7254521, and rs566918949 were rare, being detected in only one or two individuals.

The identified polymorphisms, especially those exhibiting multiple genotype occurrences, warrant further investigation as potential markers for dyslipidemia in the Chinese population.

Fig. 1
figure 1

Polymorphisms in the LDLR 3’ UTR identified in this study

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Comparison of Allele frequencies to those in public databases

The allele frequencies (AFs) of the identified polymorphisms were compared with those reported in public genomic databases, as detailed in Fig. 2 and Supplemental Table 2. Except for rs55971831, the AFs of the other ten identified polymorphisms closely matched those observed in East Asian populations within the August 2015 release of the 1000 Genomes Project (1000g2015aug) and the Genome Aggregation Database (gnomAD). The AF for rs55971831 was 0.13 in this cohort, lower than that reported for East Asian populations in both 1000g2015aug and gnomAD. The AFs for rs14158, rs2738466, rs5742911, and rs17249057 were 0.39 in this study. They were slightly lower than the highest recorded AF of 0.41 in East Asian populations, but significantly higher than the AFs observed in American (ranging from 0.21 to 0.29) and African populations (ranging from 0.15 to 0.19). This disparity in AFs suggests a genetic predisposition within the Chinese population for these specific LDLR polymorphisms, underscoring their potential as markers of dyslipidemia in this ethnic group. The AF of rs1433099 was observed to be 0.73 in this study. In contrast, in the 1000g2015aug and gnomAD databases, the AF was reported at 0.79 in American populations, and it ranged between 0.38 and 0.46 in African populations. This indicates that rs1433099 is a common polymorphism across different ethnicities. The AF for rs2738467 was 0.16 in this study, and it was 0.40 to 0.47 in American populations and 0.03 to 0.08 in African populations. This significant variation indicates that the rs2738467 polymorphism exhibits considerable diversity in different populations. The AF of rs7254521 was 0.004 in this study, and this value was 0.003 ∼ 0.132 in the East Asian population in the public database. However, the AF of rs7254521 was 0.08 in the American population, and approximately 0.15 in the African population. This indicates that rs7254521 has a high ethnic diversity. The polymorphisms rs751672818, rs566918949, and rs568219285 exhibited low AFs in all populations studied, each being less than 0.02. This suggests that these are rare polymorphisms.

Fig. 2
figure 2

The AFs of the identified polymorphisms in this study and public databases

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1000g2015aug: August 2015 release of the 1000 Genomes Project, gnomAD: Genome Aggregation Database, All: All populations, EAS: East Asian, AMR: American, AFR: African.

Linkage disequilibrium and Haplotype Analysis

The polymorphisms rs14158, rs2738466, rs5742911, and rs17249057, cooccurring in patients, were subjected to linkage disequilibrium analysis. The results, depicted in Fig. 3, revealed strong linkage disequilibrium among these polymorphisms (r2 = 1). The identified haplotypes, GAAT and AGGC, had population allele frequencies of 0.614 and 0.386, respectively, in this study cohort.

Fig. 3
figure 3

Linkage disequilibrium of LDLR polymorphisms and haplotypes. (a) Linkage disequilibrium (LD) plot generated using Haploview; (b) The haplotypes and frequencies for the identified block; (c) The evaluation of tag SNPs and corresponding statistical tests

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Impact of LDLR polymorphisms on serum lipid levels at Enrollment

The impact of identified polymorphisms on serum lipid levels at enrollment was assessed, with findings summarized in Table 2. Significant associations were observed between polymorphisms rs14158, rs2738466, rs5742911, and rs17249057 and baseline levels of TC and LDL-C (P < 0.05). Individuals carrying the A allele of rs14158, the G allele of rs2738466, the G allele of rs5742911, and the C allele of rs17249057 displayed elevated TC and LDL-C levels compared to carriers of alternative alleles. This indicates that such polymorphisms, especially when inherited as a haplotype, could impact LDL-C metabolism. A recent study [40] showed that rs5742911 enhances or creates a binding site for three miRNAs (miR-3190-5p, miR-4435, and miR-4717-5p) and disrupts a binding site for miR-1587-5p, influencing gene expression and potentially contributing to FH, underscoring the significance of the findings in this study. Polymorphism rs1433099 was strongly associated with baseline TC and LDL-C levels (P < 0.05). Those who carry the C allele had higher levels of TC and LDL-C. Polymorphism rs55971831 was significantly associated with TG levels (P = 0.002), carriers of the A allele exhibiting higher TG levels than those with the C allele. Polymorphism rs568219285 exhibited a significant correlation with baseline TG and TC levels (P < 0.05). However, due to its rarity, further validation in a larger cohort is necessary. No significant correlations were observed between polymorphisms rs2738467, rs751672818, rs7254521, or rs566918949 and baseline serum lipid levels.

Influence of of LDLR polymorphisms on Atorvastatin Treatment Efficacy

The relationship between LDLR polymorphisms and the relative change in serum lipid levels after atorvastatin therapy was evaluated and was showed in Table 3. Participants carrying the rs2738467 T allele showed a more significant reduction in TC, LDL-C, and HDL-C levels than did those with the C allele (P < 0.05). This novel discovery suggests that the rs2738467 T allele might augment the cholesterol-lowering efficacy of atorvastatin. The relative changes in lipid levels in patients with different genotypes at locus rs2738467 after atorvastatin therapy were shown in Fig. 4. TC and LDL-C levels reduced 20% in patients carrying the rs2738467 T allele and 10% in those with the C allele. Although HDL-C levels also decreased in patients with the rs2738467 T allele, the median change was under 5%, with some patients even experiencing an increase in HDL-C levels. This suggests that the rs2738467 T allele may specifically enhance atorvastatin’s efficacy in lowering LDL-C levels. The rs1433099 showed a significant correlation with change in HDL-C levels post-atorvastatin treatment (P = 0.02). Although patients carrying the rs1433099 C allele presented with greater TC and LDL-C levels at baseline, they showed a greater improvement in HDL-C levels following atorvastatin treatment. The rs7254521 was strongly associated with LDL-C levels post-atorvastatin treatment (P = 0.03); however, this observation was limited to only two patients. Verification in larger cohorts is necessary in future studies. No significant correlations were observed between polymorphisms rs14158, rs2738466, rs5742911, rs17249057, rs55971831, rs751672818, rs566918949, or rs568219285 and atorvastatin’s efficacy.

Table 2 The correlation between LDLR polymorphisms and serum lipid levels at enrollment
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Table 3 Associations between LDLR polymorphisms and the percentage changes in serum lipid levels after atorvastatin therapy
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Fig. 4
figure 4

The relative changes in lipid levels in patients with different genotypes at locus rs2738467 after atorvastatin therapy. (a) DeltaTC (%) = 100*(TCpostintervention-TCenrollment)/TCenrollment; (b) DeltaLDL-C (%) = 100*(LDL-Cpostintervention-LDL-Cenrollment)/LDL-Cenrollment; (c) DeltaHDL-C (%) = 100*(HDL-Cpostintervention-HDL-Cenrollment)/HDL-Cenrollment

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Discussion

This study not only provided a comprehensive analysis of the correlation between polymorphisms in the LDLR 3’ UTR and baseline serum lipid levels, but also revealed an association between these polymorphisms and the therapeutic efficacy of atorvastatin in a cohort of adult Chinese Han patients with dyslipidemia. The identification of 11 polymorphisms in the LDLR 3’ UTR of these patients underscored the genetic diversity within this population and highlighted the potential of these polymorphisms to serve as biomarkers for the treatment of dyslipidemia.

The polymorphisms rs14158, rs2738466, rs5742911, and rs17249057 which were in strong linkage disequilibrium, were significantly correlated with baseline serum lipid levels. Patients with the AGGC haplotype had higher LDL-C levels at baseline. Although an investigation within a southern Chinese population has not established a correlation between polymorphisms rs14158 and rs2738466 and the incidence of coronary heart disease [45], data from a black South African cohort indicated that carriers of the rs14158 A allele have elevated LDL-C levels, increasing the risk for FH [46]. In addition, research conducted in a Spanish population revealed that subjects with hypercholesterolemia harboring the rs14158 A allele and the rs2738466 G allele exhibit a diminished response to the lipid-modulating agent Armolipid Plus, suggesting that these specific SNPs may exacerbate hypercholesterolemia susceptibility [47]. Furthermore, according to a Mexican study, the rs14158 A allele and the rs2738466 G allele were associated with an increased risk of acute coronary syndrome and concomitantly lower HDL-C levels [48]. Additionally, rs5742911 was potentially associated with FH by disrupting interactions with miRNAs and altering gene expression in a recent Dutch study [40]. Collectively, these findings underscore the potential for the rs14158, rs2738466, rs5742911, and rs17249057 polymorphisms to influence cholesterol metabolism in various ways between distinct populations.

In this study, polymorphisms rs14158, rs2738466, rs5742911, and rs17249057 were not correlated with the therapeutic efficacy of atorvastatin. This finding was consistent with a study in Brazilian cohorts in which the allelic polymorphism rs14158G had no discernible influence on the therapeutic efficacy of atorvastatin [49]. However, a study in the United States showed that rs5742911 was associated with poor simvastatin response in black patients but not in white patients [50].

The rs2738467 T allele was associated with a more pronounced reduction in LDL-C levels after atorvastatin therapy but was not associated with baseline lipid levels. This finding suggests a potential role for this polymorphism in improving the efficacy of atorvastatin. This finding supports the precision medicine approach, which emphasizes customizing treatment plans according to individual genetic profiles.

The allele frequencies of the identified polymorphisms in this study were consistent with them in East Asian populations as documented in public genomic databases. This reinforces the validity of the findings and suggests a genetic predisposition among the Chinese population to these specific LDLR polymorphisms. The findings in this study have profound implications for population-specific genetic screening and therapeutic interventions.

Study strengths and limitations

This research presents several strengths, notably its investigation into the effects of LDLR 3’ UTR polymorphisms on lipid levels both pre- and post-atorvastatin therapy in a population of adult Chinese Han individuals with dyslipidemia. The study provides valuable insights into the genetic factors that regulate serum lipids and how the factors impact the efficacy of atorvastatin treatment. This study not only supports the stratification of potential dyslipidemia cases for targeted screening but also aids in pinpointing individuals most likely to benefit from atorvastatin therapy. As a result, this work lays a foundation for the implementation of personalized, precision medicine in clinical settings.

This study still has several limitations. Firstly, focusing exclusively on adult Chinese Han patients with dyslipidemia might restrict the applicability of the findings to other ethnicities or demographics. Secondly, the infrequent presence of certain polymorphisms, like rs568219285, necessitates further exploration in more extensive and varied populations to verify their links to lipid profiles and medication effects. Lastly, while this study concentrated on the relationship between LDLR polymorphisms and lipid levels alterations post-atorvastatin treatment, other contributory factors and underlying mechanisms remain unexamined.

Conclusions

In conclusion, this investigation has uncovered a significant link between LDLR gene 3’ UTR polymorphisms and lipid levels, as well as their impact on atorvastatin response. These insights open new pathways for advanced studies and clinical applications, highlighting the importance of genetic profiling in tailoring treatment for dyslipidemia. By adopting a personalized approach to therapy, it can enhance treatment precision and effectiveness, ultimately alleviating the cardiovascular disease burden associated with dyslipidemia.

Data availability

The datasets featured in this article are not openly accessible due to restrictions on the public dissemination of genomic information imposed by the Institutional Ethics Committee. To access the datasets, requests should be made to the corresponding authors.

Abbreviations

ASCVD:

Atherosclerotic cardiovascular disease

LDLR:

Low-density lipoprotein receptor

FH:

Familial hypercholesterolemia

UTR:

Untranslated regions

TG:

Triglyceride

TC:

Total cholesterol

LDL-C:

Low-density lipoprotein cholesterol

HDL-C:

High-density lipoprotein cholesterol

References

  1. Liu X, Yu S, Mao Z, Li Y, Zhang H, Yang K, et al. Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study. Lipids Health Dis. 2018;17(1):119.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Lu Y, Zhang H, Lu J, Ding Q, Li X, Wang X et al. Prevalence of Dyslipidemia and availability of lipid-lowering medications among Primary Health Care settings in China. JAMA Netw Open. 2021;4(9).

  3. Yang M, Zhang Y, Ren J. Autophagic regulation of lipid homeostasis in Cardiometabolic Syndrome. Front Cardiovasc Med. 2018;5(38).

  4. Zhang Y, Whaley-Connell AT, Sowers JR, Ren J. Autophagy as an emerging target in cardiorenal metabolic disease: from pathophysiology to management. Pharmacol Ther. 2018;191:1–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Zhang Y, Sowers JR, Ren J. Targeting autophagy in obesity: from pathophysiology to management. Nat Rev Endocrinol. 2018;14(6):356–76.

    Article  CAS  PubMed  Google Scholar 

  6. Ren J, Sowers JR, Zhang Y. Metabolic stress, Autophagy, and Cardiovascular Aging: from pathophysiology to therapeutics. Trends Endocrinol Metab. 2018;29(10):699–711.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Rogozik J, Główczyńska R, Grabowski M. Genetic backgrounds and diagnosis of familial hypercholesterolemia. Clin Genet. 2023;105(1):3–12.

    Article  PubMed  Google Scholar 

  8. Ma LY, Chen WW, Gao RL, Liu LS, Zhu ML, Wang YJ, et al. China cardiovascular diseases report 2018: an updated summary. J Geriatr Cardiol. 2020;17(1):1–8.

    PubMed  PubMed Central  Google Scholar 

  9. Ference BA, Ginsberg HN, Graham I, Ray KK, Packard CJ, Bruckert E, et al. Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel. Eur Heart J. 2017;38(32):2459–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Mangione CM, Barry MJ, Nicholson WK, Cabana M, Chelmow D, Coker TR et al. Statin use for the primary Prevention of Cardiovascular Disease in adults. JAMA. 2022;328(8).

  11. Ferraro RA, Leucker T, Martin SS, Banach M, Jones SR, Toth PP. Contemp Manage Dyslipidemia Drugs. 2022;82(5):559–76.

    CAS  Google Scholar 

  12. Li J-J, Zhao S-P, Zhao D, Lu G-P, Peng D-Q, Liu J et al. 2023 Chinese guideline for lipid management. Front Pharmaco. 2023;14.

  13. Polisecki E, Muallem H, Maeda N, Peter I, Robertson M, McMahon AD, et al. Genetic variation at the LDL receptor and HMG-CoA reductase gene loci, lipid levels, statin response, and cardiovascular disease incidence in PROSPER. Atherosclerosis. 2008;200(1):109–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Weedon MN, Linsel-Nitschke P, Götz A, Erdmann J, Braenne I, Braund P et al. Lifelong reduction of LDL-Cholesterol related to a common variant in the LDL-Receptor gene decreases the risk of coronary artery Disease—A mendelian randomisation study. PLoS ONE. 2008;3(8).

  15. Kathiresan S, Melander O, Anevski D, Guiducci C, Burtt NP, Roos C, et al. Polymorphisms associated with cholesterol and risk of cardiovascular events. N Engl J Med. 2008;358(12):1240–9.

    Article  CAS  PubMed  Google Scholar 

  16. Sun XM, Patel DD, Webb JC, Knight BL, Fan LM, Cai HJ, et al. Familial hypercholesterolemia in China. Identification of mutations in the LDL-receptor gene that result in a receptor-negative phenotype. Arterioscler Thromb. 1994;14(1):85–94.

    Article  CAS  PubMed  Google Scholar 

  17. Pimstone SN, Sun XM, du Souich C, Frohlich JJ, Hayden MR, Soutar AK. Phenotypic variation in heterozygous familial hypercholesterolemia: a comparison of Chinese patients with the same or similar mutations in the LDL receptor gene in China or Canada. Arterioscler Thromb Vasc Biol. 1998;18(2):309–15.

    Article  CAS  PubMed  Google Scholar 

  18. Wang D, Wu B, Li Y, Heng W, Zhong H, Mu Y, et al. A Chinese homozygote of familial hypercholesterolemia: identification of a novel C263R mutation in the LDL receptor gene. J Hum Genet. 2001;46(3):152–4.

    Article  CAS  PubMed  Google Scholar 

  19. Punzalan FE, Sy RG, Santos RS, Cutiongco EM, Gosiengfiao S, Fadriguilan E, et al. Low density lipoprotein–receptor (LDL-R) gene mutations among filipinos with familial hypercholesterolemia. J Atheroscler Thromb. 2005;12(5):276–83.

    Article  CAS  PubMed  Google Scholar 

  20. Xie L, Gong QH, Xie ZG, Liang ZM, Hu ZM, Xia K, et al. Two novel mutations of the LDL receptor gene associated with familial hypercholesterolemia in a Chinese family. Chin Med J (Engl). 2007;120(19):1694–9.

    Article  CAS  PubMed  Google Scholar 

  21. Cheng X, Ding J, Zheng F, Zhou X, Xiong C. Two mutations in LDLR gene were found in two Chinese families with familial hypercholesterolemia. Mol Biol Rep. 2009;36(8):2053–7.

    Article  CAS  PubMed  Google Scholar 

  22. Wang L, Lin J, Liu S, Cao S, Liu J, Yong Q, et al. Mutations in the LDL receptor gene in four Chinese homozygous familial hypercholesterolemia phenotype patients. Nutr Metab Cardiovasc Dis. 2009;19(6):391–400.

    Article  CAS  PubMed  Google Scholar 

  23. De Castro-Orós I, Pampín S, Bolado‐Carrancio A, De Cubas A, Palacios L, Plana N, et al. Functional analysis of LDLR promoter and 5′ UTR mutations in subjects with clinical diagnosis of familial hypercholesterolemia. Hum Mutat. 2011;32(8):868–72.

    Article  PubMed  Google Scholar 

  24. Yao RE, Wang J, Geng J, Zheng Z, Yu T, Yu Y, et al. Identification of LDLR mutations in two Chinese pedigrees with familial hypercholesterolemia. J Pediatr Endocrinol Metab. 2012;25(7–8):769–73.

    CAS  PubMed  Google Scholar 

  25. Li H, Zhang Y, Wei X, Peng Y, Yang P, Tan H, et al. Rare intracranial cholesterol deposition and a homozygous mutation of LDLR in a familial hypercholesterolemia patient. Gene. 2015;569(2):313–7.

    Article  CAS  PubMed  Google Scholar 

  26. Santos PC, Pereira AC. Type of LDLR mutation and the pharmacogenetics of familial hypercholesterolemia treatment. Pharmacogenomics. 2015;16(15):1743–50.

    Article  CAS  PubMed  Google Scholar 

  27. Ohta N, Hori M, Takahashi A, Ogura M, Makino H, Tamanaha T, et al. Proprotein convertase subtilisin/kexin 9 V4I variant with LDLR mutations modifies the phenotype of familial hypercholesterolemia. J Clin Lipidol. 2016;10(3):547–55.

    Article  PubMed  Google Scholar 

  28. Climent E, Pérez-Calahorra S, Marco-Benedí V, Plana N, Sánchez R, Ros E, et al. Effect of LDL cholesterol, statins and presence of mutations on the prevalence of type 2 diabetes in heterozygous familial hypercholesterolemia. Sci Rep. 2017;7(1):5596.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Shu H, Chi J, Li J, Zhang W, Lv W, Wang J et al. A novel indel variant in LDLR responsible for familial hypercholesterolemia in a Chinese family. PLoS ONE. 2017;12(12).

  30. Girona J, Rodríguez-Borjabad C, Ibarretxe D, Heras M, Amigo N, Feliu A, et al. Plasma inducible degrader of the LDLR, soluble low-density lipoprotein receptor, and proprotein convertase subtilisin/kexin type 9 levels as potential biomarkers of familial hypercholesterolemia in children. J Clin Lipidol. 2018;12(1):211–8.

    Article  PubMed  Google Scholar 

  31. Hoffman S, Adeli K. LDL receptor gene-ablated hamsters: a Rodent Model of Familial Hypercholesterolemia with Dominant inheritance and Diet-Induced Coronary atherosclerosis. EBioMedicine. 2018;28:17–8.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Rodríguez-Nóvoa S, Rodríguez-Jiménez C, Alonso C, Rodriguez-Laguna L, Gordo G, Martinez-Glez V, et al. Familial hypercholesterolemia: a single-nucleotide variant (SNV) in mosaic at the low density lipoprotein receptor (LDLR). Atherosclerosis. 2020;311:37–43.

    Article  PubMed  Google Scholar 

  33. Zhimin W, Hui W, Fengtao J, Wenjuan S, Yongrong L. Clinical and serum lipid profiles and LDLR genetic analysis of xanthelasma palpebrarum with nonfamilial hypercholesterolemia. J Cosmet Dermatol. 2020;19(11):3096–9.

    Article  PubMed  Google Scholar 

  34. Doi T, Hori M, Harada-Shiba M, Kataoka Y, Onozuka D, Nishimura K et al. Patients with LDLR and PCSK9 gene variants experienced higher incidence of Cardiovascular outcomes in heterozygous familial hypercholesterolemia. J Am Heart Assoc. 2021;10(4).

  35. Hu H, Chen R, Hu Y, Wang J, Lin S, Chen X. The LDLR c.501C > A is a disease-causing variant in familial hypercholesterolemia. Lipids Health Dis. 2021;20(1):101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Meshkov A, Ershova A, Kiseleva A, Zotova E, Sotnikova E, Petukhova A et al. The LDLR, APOB, and PCSK9 variants of Index patients with familial hypercholesterolemia in Russia. Genes. 2021;12(1).

  37. Roy G, Couture P, Genest J, Ruel I, Baass A, Bergeron J, et al. Influence of the LDL-Receptor genotype on statin response in heterozygous familial hypercholesterolemia: insights from the Canadian FH Registry. Can J Cardiol. 2022;38(3):311–9.

    Article  PubMed  Google Scholar 

  38. Lin S, Hu T, Wang K, Wang J, Zhu Y, Chen X. In vitro assessment of the pathogenicity of the LDLR c.2160delC variant in familial hypercholesterolemia. Lipids Health Dis. 2023;22(1):77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Lv X, Wang C, Liu L, Yin G, Zhang W, Abdu FA, et al. Screening and verifying the mutations in the LDLR and APOB genes in a Chinese family with familial hypercholesterolemia. Lipids Health Dis. 2023;22(1):175.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. de Freitas RCC, Bortolin RH, Borges JB, de Oliveira VF, Dagli-Hernandez C, Marçal ESR, et al. LDLR and PCSK9 3´UTR variants and their putative effects on microRNA molecular interactions in familial hypercholesterolemia: a computational approach. Mol Biol Rep. 2023;50:9165–77.

    Article  PubMed  Google Scholar 

  41. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010;26(5):589–95.

    Article  PubMed  PubMed Central  Google Scholar 

  43. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The genome analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20(9):1297–303.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Barrett JC, Haploview. Visualization and analysis of SNP genotype data. Cold Spring Harb Protoc. 2009;4(10).

  45. Chen W, Wang S, Ma Y, Zhou Y, Liu H, Strnad P, et al. Analysis of polymorphisms in the 3’ untranslated region of the LDL receptor gene and their effect on plasma cholesterol levels and drug response. Int J Mol Med. 2008;21(3):345–53.

    CAS  PubMed  Google Scholar 

  46. van Zyl T, Jerling JC, Conradie KR, Feskens EJM. Common and rare single nucleotide polymorphisms in the LDLR gene are present in a black South African population and associate with low-density lipoprotein cholesterol levels. J Hum Genet. 2013;59(2):88–94.

    PubMed  Google Scholar 

  47. Vinci MC, De Castro-Orós I, Solà R, Valls RM, Brea A, Mozas P et al. Genetic variants of LDLR and PCSK9 Associated with variations in response to Antihypercholesterolemic effects of Armolipid plus with Berberine. PLoS ONE. 2016;11(3).

  48. Vargas-Alarcon G, Perez-Mendez O, Ramirez-Bello J, Posadas-Sanchez R, Gonzalez-Pacheco H, Escobedo G et al. The c.*52 A/G and c.*773 A/G Genetic Variants in the UTR’3 of the LDLR Gene Are Associated with the Risk of Acute Coronary Syndrome and Lower Plasma HDL-Cholesterol Concentration. Biomolecules. 2020;10(10).

  49. Zambrano T, Hirata MH, Cerda Á, Dorea EL, Pinto GA, Gusukuma MC, et al. Impact of 3’UTR genetic variants in PCSK9 and LDLR genes on plasma lipid traits and response to atorvastatin in Brazilian subjects: a pilot study. Int J Clin Exp Med. 2015;8(4):5978–88.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Mangravite LM, Medina MW, Cui J, Pressman S, Smith JD, Rieder MJ, et al. Combined influence of LDLR and HMGCR sequence variation on lipid-lowering response to simvastatin. Arterioscler Thromb Vasc Biol. 2010;30(7):1485–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We would like to acknowledge the participants who provided valuable clinical samples for this study. We express sincere appreciation to the State Key Laboratory of Microbial Resources at the Institute of Microbiology, Chinese Academy of Sciences, for their generous provision of the essential facilities and resources required for this study.

Funding

This study was supported by the project named Research on Precision Medication for Chronic Diseases Based on Pharmacogenomics (2019YJY0203).

Author information

Author notes

  1. Hong-Liang Zhao, Yang You and Yan Tian contributed equally and are co-first authors.

  2. Ningling Sun, Songnian Hu and Gang Liu contributed equally and are corresponding authors.

Authors and Affiliations

  1. Department of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China

    Hong-Liang Zhao, Yang You, Yongqiang An & Gang Liu

  2. Beijing E-Seq Medical Technology Co. Ltd, Beijing, China

    Yan Tian, Guoqiang Zhang, Mingxin Yu, Yihua Zhu, Qian Li & Yanwei Zhang

  3. State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China

    Chang Shu & Songnian Hu

  4. College of Information Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province, China

    Yihua Zhu

  5. Institute of Hypertension, People’s Hospital, Peking University, Beijing, China

    Luyan Wang & Ningling Sun

  6. University of Chinese Academy of Sciences, Beijing, China

    Songnian Hu

Authors
  1. Hong-Liang Zhao
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  2. Yang You
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  14. Gang Liu
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Contributions

HL.Z. designed the study and carried out all the experiments. Y.Y. was primarily responsible for the experimental design. Y.T. analyzed the data and wrote the manuscript. G.Q.Z prepared the figures and tables. N.L.S., S.N.H. and G.L. designed the research and critically revised the manuscript. L.Y.W., Y.Q.A., C.S., M.X.Y., Y.H.Z., Q.L. and Y.W.Z. made modifications to the manuscript. All authors reviewed the manuscript.

Corresponding authors

Correspondence to Ningling Sun, Songnian Hu or Gang Liu.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee of Xiangya Hospital Central South University (ethics number K22144) and The First Hospital of Hebei Medical University (ethics number 20220418), and all participants provided written informed consent.

Consent for publication

Written informed consent for publication was obtained from all participants.

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The authors declare no competing interests.

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Zhao, HL., You, Y., Tian, Y. et al. Impact of LDLR polymorphisms on lipid levels and atorvastatin’s efficacy in a northern Chinese adult Han cohort with dyslipidemia. Lipids Health Dis 23, 106 (2024). https://doi.org/10.1186/s12944-024-02101-4

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  • DOI: https://doi.org/10.1186/s12944-024-02101-4

Keywords

Lipids in Health and Disease

ISSN: 1476-511X