molecular formula C25H38O5 B1681759 Simvastatin CAS No. 79902-63-9

Simvastatin

Cat. No.: B1681759
CAS No.: 79902-63-9
M. Wt: 418.6 g/mol
InChI Key: RYMZZMVNJRMUDD-HGQWONQESA-N
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Description

Simvastatin is a synthetic statin derived from the fermentation product of Aspergillus terreus. It functions as a competitive inhibitor of 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase, the rate-limiting enzyme in cholesterol biosynthesis. By lowering intracellular cholesterol synthesis, this compound upregulates hepatic low-density lipoprotein receptor (LDLR) expression, enhancing clearance of LDL cholesterol (LDL-C) from the bloodstream . Clinically, it is widely used to manage hypercholesterolemia and reduce cardiovascular risk. However, its poor aqueous solubility (0.03 mg/mL at 25°C) limits bioavailability, necessitating formulation strategies like solid dispersions to improve dissolution .

Preparation Methods

Simvastatin is synthesized from a fermentation product of the fungus Aspergillus terreus. The synthetic route involves several key steps:

Industrial production methods focus on optimizing these steps to ensure high yield and purity. The process involves stringent control of reaction conditions such as temperature, pH, and solvent use to achieve the desired product.

Chemical Reactions Analysis

Simvastatin undergoes several types of chemical reactions:

Common reagents used in these reactions include water for hydrolysis and cytochrome P450 enzymes for oxidation. The major products formed include the active β-hydroxyacid form and various oxidized metabolites.

Scientific Research Applications

Primary Use in Cardiovascular Health

Cholesterol Management:
Simvastatin is primarily indicated for the treatment of hyperlipidemia, specifically to lower levels of low-density lipoprotein cholesterol (LDL-C) and total cholesterol. It is effective in reducing the risk of cardiovascular events such as myocardial infarction and stroke. The drug functions as an HMG-CoA reductase inhibitor, blocking the enzyme responsible for cholesterol production in the liver .

Table 1: FDA-Approved Indications for this compound

IndicationDescription
Homozygous Familial HypercholesterolemiaGenetic condition leading to very high cholesterol levels
Heterozygous Familial HypercholesterolemiaCommon genetic condition with elevated cholesterol levels
HypertriglyceridemiaHigh levels of triglycerides in the blood
DysbetalipoproteinemiaAbnormal lipid metabolism leading to high cholesterol
Cardiovascular Event PreventionReduces risk of heart attacks and strokes

Antimicrobial Properties

Recent studies have explored this compound's potential as an antimicrobial agent. Research indicates that this compound exhibits activity against various pathogens, including Enterococcus faecalis , suggesting it may play a role in preventing infections .

Case Study: Antimicrobial Activity
In a study examining this compound's antimicrobial effects, it was found that treatment reduced bacterial load significantly in infected models, indicating its potential use as an adjunct therapy in infectious diseases .

Neuroprotective Effects

This compound has garnered attention for its possible neuroprotective properties, particularly in relation to Alzheimer's disease. Evidence suggests that this compound may reduce the incidence of Alzheimer's by:

  • Anti-Inflammatory Effects: Reducing neuroinflammation associated with neurodegenerative diseases.
  • Amyloid Beta Reduction: Lowering amyloid beta levels, which are implicated in Alzheimer's pathology.
  • Mitochondrial Health Improvement: Enhancing mitochondrial function, which is crucial for neuronal health .

Table 2: Mechanisms of Neuroprotection by this compound

MechanismDescription
Anti-InflammatoryReduces inflammation in neural tissues
Amyloid Beta ReductionLowers levels of amyloid plaques
Mitochondrial FunctionImproves energy production in neurons
Blood-Brain Barrier PenetrationFacilitates transport across the blood-brain barrier

Vascular Health Enhancement

Research has revealed that this compound improves endothelial function and vascular health independent of its lipid-lowering effects. Studies conducted on endothelial cells demonstrated that this compound promotes angiogenesis (formation of new blood vessels) and prevents harmful transitions from endothelial to mesenchymal cells .

Case Study: Vascular Function Improvement
In diabetic mouse models, this compound treatment resulted in enhanced vascular function, indicating its potential application in managing diabetes-related vascular complications .

Off-Label Uses

This compound is also utilized off-label for several indications:

  • Prophylaxis of Cardiovascular Events: Used post-acute coronary syndrome to prevent further events.
  • Atrial Fibrillation Management: Helps stabilize patients with stable coronary artery disease .

Comparison with Similar Compounds

Comparison with Other Statins

Efficacy in LDL-C Reduction

The STELLAR trial compared rosuvastatin, atorvastatin, simvastatin, and pravastatin across dose ranges. At 6 weeks, rosuvastatin 10–80 mg reduced LDL-C by 8.2% more than atorvastatin 10–80 mg , 12–18% more than this compound 10–80 mg , and 26% more than pravastatin 10–40 mg (all p < 0.001) . This compound’s efficacy is dose-dependent, with 80 mg achieving a mean LDL-C reduction of 47% compared to 55% for rosuvastatin 40 mg .

Table 1: LDL-C Reduction Across Statins (STELLAR Trial)

Statin Dose Range (mg) Mean LDL-C Reduction (%)
Rosuvastatin 10–80 55–63
Atorvastatin 10–80 47–55
This compound 10–80 35–47
Pravastatin 10–40 20–28

Pharmacodynamic Differences

  • HDL-C Modulation : Rosuvastatin increased high-density lipoprotein cholesterol (HDL-C) by 7.7–9.6% , outperforming this compound (5.1–6.8% ) .
  • Triglyceride Reduction : Rosuvastatin reduced triglycerides by 10–18% , significantly more than this compound (p < 0.001) .

Comparison with Natural Compounds and Derivatives

Natural HMG-CoA Reductase Inhibitors

  • Monacolin J Derivatives : NST0037, a semisynthetic derivative, showed HMG-CoA reductase inhibition potency (IC50 = 12 nM) comparable to this compound (IC50 = 10 nM) .

Table 3: HMG-CoA Reductase Inhibition by Natural Compounds

Compound Source IC50 (nM)
This compound Synthetic 10
NST0037 Monacolin J 12
Berberine Berberis spp. 45

LDLR and PCSK9 Modulation

  • R. michauxii Extract : Compound 3 from R. michauxii induced LDLR expression (3.7-fold vs. control) and PCSK9 (3.2-fold), mirroring this compound’s effects (5.9-fold LDLR; 3.5-fold PCSK9) .
  • Govaniadine : This alkaloid increased PCSK9 expression similarly to this compound, while berberine suppressed it, suggesting divergent mechanisms .

Combination Therapies

This combination is recommended for high-risk patients failing to achieve LDL-C targets with statin monotherapy.

Biological Activity

Simvastatin, a widely used statin for lowering cholesterol, has garnered attention for its diverse biological activities beyond lipid regulation. This article delves into the compound's mechanisms of action, antibacterial properties, and implications in various diseases, supported by research findings and case studies.

This compound primarily functions as an HMG-CoA reductase inhibitor, which is pivotal in cholesterol biosynthesis. By inhibiting this enzyme, this compound reduces hepatic cholesterol levels, leading to increased uptake of low-density lipoprotein (LDL) from the bloodstream. This mechanism is well-documented in clinical settings where this compound is prescribed to manage hyperlipidemia and reduce cardiovascular risks .

Key Metabolic Pathways Affected by this compound

  • Cholesterol Biosynthesis : this compound inhibits the mevalonate pathway, crucial for cholesterol production.
  • Protein Synthesis : Research indicates that this compound selectively inhibits bacterial protein synthesis without significantly affecting mammalian cells .
  • Autophagy Modulation : this compound activates AMP-activated protein kinase (AMPK) and inhibits mTORC1, promoting autophagy, which has implications in cancer and infectious diseases .

Antibacterial Activity

Recent studies have highlighted this compound's antibacterial properties, particularly against Gram-positive bacteria such as Staphylococcus aureus.

In Vitro Findings

  • Inhibition of Bacterial Growth : this compound demonstrated significant inhibition of macromolecular synthesis in S. aureus, affecting DNA, RNA, and protein synthesis pathways .
  • Toxin Production Suppression : The compound effectively reduced the production of virulence factors like Panton-Valentine leukocidin (PVL) and α-hemolysin in methicillin-resistant S. aureus (MRSA) .
StudyBacteriaEffectConcentration
Nature (2015)S. aureusInhibition of protein synthesis< 0.25 × MIC
PubMed (2020)M. tuberculosisAnti-tubercular activityClinically relevant doses

Cardiovascular Disease

This compound is primarily used for cardiovascular disease prevention. Clinical trials have shown its effectiveness in reducing LDL levels and lowering the risk of heart attacks and strokes.

Diabetes Management

Emerging evidence suggests that this compound may improve glycemic control in diabetic patients when used alongside standard treatments. A systematic review indicated that periodontal disease treatment with subgingival this compound could lead to modest improvements in blood sugar levels among Type 2 diabetes patients .

Case Studies

  • Antimicrobial Efficacy : A study explored this compound’s effect on various bacterial strains, revealing a synergistic effect when combined with traditional antibiotics like colistin against resistant strains .
  • Cholesterol Reduction and Cancer Prevention : The HPS study assessed this compound’s role in colorectal cancer prevention but found no significant benefits when combined with antioxidants .

Q & A

Basic Research Questions

Q. What experimental designs are commonly used to optimize simvastatin formulations, and how do they ensure robustness?

Researchers employ statistical experimental designs such as D-optimal design and full-factorial design to evaluate critical variables in formulation development. For example, D-optimal design was applied to assess HPLC method robustness for this compound purity testing, analyzing variables like mobile phase composition, pH, and column temperature. This design minimizes experimental runs while maximizing predictive accuracy, with coefficients of determination (R² > 0.95) confirming model validity . Similarly, full-factorial designs optimize transdermal patches by testing factors like croscarmellose sodium concentration and compression force, enabling predictive polynomial equations for dissolution profiles .

Q. What are standard methodologies for quantifying this compound in pharmacokinetic studies?

High-performance liquid chromatography (HPLC) remains the gold standard. A validated protocol includes monitoring retention time, theoretical plates, and peak asymmetry. For instance, a study using Modde® software demonstrated HPLC robustness across variable ranges, with resolution of critical impurity pairs (e.g., A/I, E/F) ensuring accurate quantification . Dialysis techniques are also used to purify this compound in lipid nanoparticles, with ANOVA confirming no significant difference in free drug removal after 15 vs. 30 minutes (p > 0.05) .

Q. How are clinical trial endpoints selected for evaluating this compound’s efficacy in cardiovascular disease?

Primary endpoints often include carotid intima-media thickness (CIMT) and LDL cholesterol reduction . In a 24-month trial, this compound combined with ezetimibe reduced LDL by 16.5% (p < 0.01) but showed no significant CIMT improvement compared to monotherapy, highlighting the complexity of linking lipid metrics to clinical outcomes . Subgroup analyses in diabetic patients with coronary heart disease prioritized major CHD events (RR = 0.45, p = 0.002) and total mortality (RR = 0.57, p = 0.087) as key endpoints .

Advanced Research Questions

Q. How can researchers address contradictions between this compound’s biochemical efficacy and clinical outcomes?

Contradictions, such as LDL reduction without atherosclerosis improvement, require subgroup analysis and meta-regression . For example, in familial hypercholesterolemia trials, this compound + ezetimibe reduced LDL and CRP but did not alter CIMT progression, suggesting pleiotropic effects may not translate to structural benefits. Researchers must stratify data by risk factors (e.g., diabetes, baseline CRP) and apply multivariate models to isolate confounding variables . PRISMA-guided systematic reviews further contextualize contradictions by aggregating data across study designs .

Q. What advanced statistical models are used to optimize this compound delivery systems?

Response surface methodology (RSM) with Box-Behnken designs is widely used. A study optimizing transdermal patches employed a three-factor, three-level design to model this compound permeation, achieving a quadratic model with R² = 0.9948. Derringer’s desirability function predicted optimal permeation (78.77 µg/cm²) at specific poloxamer and D-limonene concentrations . Similarly, Design Expert® software analyzes dissolution data via ANOVA and multiple linear regression, identifying significant interactions between formulation variables .

Q. How can researchers investigate this compound’s pleiotropic effects in non-cardiovascular contexts, such as neuroprotection or bone metabolism?

Preclinical models use immunohistochemistry and longitudinal MRI to assess mechanisms. In experimental periodontitis, this compound reduced alveolar bone loss by downregulating RANKL (p < 0.05) and upregulating osteoprotegerin (OPG), confirmed via immunofluorescence . For neuroprotection, rodent ICH models combined MRI (susceptibility-weighted imaging) with neurobehavioral tests, showing this compound reduced tissue loss by 28% (p = 0.0003) and enhanced neurogenesis .

Q. Methodological Considerations

Q. How should researchers design studies to evaluate this compound’s antioxidant and anti-inflammatory properties?

  • Oxidative stress markers : Measure gingival glutathione (GSH) and malonaldehyde (MDA) levels, as done in periodontitis models .
  • Cytokine profiling : Use ELISA or multiplex assays for IL-1β, TNF-α, and IL-10 in tissue homogenates.
  • Gene/protein expression : Apply qPCR and Western blotting for iNOS, MMPs, and BMP-2 .
  • Statistical rigor : Two-way ANOVA with post-hoc tests (e.g., Tukey’s) to compare treatment groups.

Q. What are best practices for handling this compound’s low aqueous solubility in formulation studies?

  • Surfactant optimization : Increase poloxamer concentration to enhance solubility, as demonstrated in solid lipid nanoparticles (SLNs) .
  • Organic co-solvents : Use isopropyl alcohol (IPA) in nanodispersions, balancing solubility and toxicity .
  • Dissolution testing : USP Apparatus II (paddle method) in phosphate buffer (pH 7.4) at 100 rpm, with sampling at 5–30 minutes .

Properties

IUPAC Name

[(1S,3R,7S,8S,8aR)-8-[2-[(2R,4R)-4-hydroxy-6-oxooxan-2-yl]ethyl]-3,7-dimethyl-1,2,3,7,8,8a-hexahydronaphthalen-1-yl] 2,2-dimethylbutanoate
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InChI

InChI=1S/C25H38O5/c1-6-25(4,5)24(28)30-21-12-15(2)11-17-8-7-16(3)20(23(17)21)10-9-19-13-18(26)14-22(27)29-19/h7-8,11,15-16,18-21,23,26H,6,9-10,12-14H2,1-5H3/t15-,16-,18+,19+,20-,21-,23-/m0/s1
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InChI Key

RYMZZMVNJRMUDD-HGQWONQESA-N
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Canonical SMILES

CCC(C)(C)C(=O)OC1CC(C=C2C1C(C(C=C2)C)CCC3CC(CC(=O)O3)O)C
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Isomeric SMILES

CCC(C)(C)C(=O)O[C@H]1C[C@H](C=C2[C@H]1[C@H]([C@H](C=C2)C)CC[C@@H]3C[C@H](CC(=O)O3)O)C
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Molecular Formula

C25H38O5
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DSSTOX Substance ID

DTXSID0023581
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Molecular Weight

418.6 g/mol
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Physical Description

Solid
Record name Simvastatin
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Solubility

Insoluble, In water, 3.0X10-2 mg/L, temp not specified, Solubility (mg/mL): chloroform 610; DMSO 540; methanol 200; ethanol 160; n-hexane 0.15; 0.1 M HCl 0.06; polyethylene glycol-400 70; propylene glycol 30; 0.1 M NaOH 70, 1.22e-02 g/L
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Color/Form

White to off-white crystalline powder from n-butyl chloride + hexane

CAS No.

79902-63-9
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Melting Point

135-138 °C, 135 - 138 °C
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Retrosynthesis Analysis

AI-Powered Synthesis Planning: Our tool employs the Template_relevance Pistachio, Template_relevance Bkms_metabolic, Template_relevance Pistachio_ringbreaker, Template_relevance Reaxys, Template_relevance Reaxys_biocatalysis model, leveraging a vast database of chemical reactions to predict feasible synthetic routes.

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Strategy Settings

Precursor scoring Relevance Heuristic
Min. plausibility 0.01
Model Template_relevance
Template Set Pistachio/Bkms_metabolic/Pistachio_ringbreaker/Reaxys/Reaxys_biocatalysis
Top-N result to add to graph 6

Feasible Synthetic Routes

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