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Free Cholesterol

Free cholesterol refers to the unesterified form of cholesterol, a crucial lipid molecule found in all animal cells. Cholesterol is essential for life, playing a fundamental role in various biological processes. It circulates in the bloodstream within lipoproteins, which are complexes of lipids and proteins, and exists in both esterified (bound to a fatty acid) and unesterified (free) forms.

Biologically, free cholesterol is a vital component of cell membranes, where it helps maintain membrane fluidity and integrity. It is also a precursor for the synthesis of steroid hormones (such as estrogen, testosterone, and cortisol), vitamin D, and bile acids, which are necessary for fat digestion. The body tightly regulates the synthesis, absorption, and excretion of cholesterol to maintain homeostasis. Genetic factors significantly influence lipid homeostasis, affecting the levels and distribution of various lipid species, including free cholesterol.[1]

The levels of cholesterol in the blood, including free cholesterol, are clinically relevant markers for various health conditions. Dysregulation of cholesterol metabolism is a well-established risk factor for cardiovascular diseases (CVD), particularly coronary artery disease (CAD).[2]While conventional lipid panels typically measure total cholesterol, HDL-cholesterol, and triglycerides, a more detailed analysis of specific lipid species, such as free cholesterol, can offer a deeper understanding of an individual’s lipid profile and associated health risks. Genetic studies, including Genome-Wide Association Studies (GWAS), have identified numerous genetic loci associated with the levels of various lipid species and classes, providing insights into their links with disease susceptibility.[1]

High cholesterol is a major global public health concern due to its strong association with cardiovascular diseases, which are leading causes of morbidity and mortality worldwide.[3]Understanding the genetic and metabolic factors that influence free cholesterol levels is crucial for developing improved diagnostic tools, targeted preventative strategies, and personalized treatment approaches. Advancements in this area contribute to broader public health efforts aimed at reducing the burden of chronic diseases and improving overall population health.

Methodological and Statistical Constraints

Section titled “Methodological and Statistical Constraints”

Studies on free cholesterol are subject to various methodological and statistical constraints that can influence the interpretation and generalizability of findings. Sample size limitations are a recurring issue; while some investigations involve large cohorts, the power to detect associations in diverse ancestry groups is often restricted.[4] Smaller sample sizes in specific cohorts or for particular analyses can lead to underpowered results, and the exclusion of individuals due to missing data can further reduce analytical power.[5] Additionally, the exploratory nature of discovery meta-analyses, especially those lacking an independent validation sample, means that some identified associations may require further rigorous validation in subsequent studies.[1] Potential biases can also arise from study design choices and statistical adjustments. The exclusion of participants of non-European descent or those from specific NMR platforms, often done to avoid overfitting, can introduce cohort bias and limit the broader applicability of findings.[2] Furthermore, while adjustments for clinical lipid traits are crucial, the inclusion of heritable covariates can inadvertently introduce collider bias. To mitigate this, advanced methods like multi-trait conditional and joint analysis (mtCOJO) are employed, yet substantial differences in effect measures for certain gene regions, such as APOE, FADS1/FADS2/FADS3, and TMEM229B/PLEKHH1, have been observed after such adjustments, indicating a potential for biased estimates.[1]

Generalizability and Phenotypic Measurement Issues

Section titled “Generalizability and Phenotypic Measurement Issues”

A significant limitation in understanding free cholesterol is the generalizability of research findings. Many studies predominantly feature cohorts of European ancestry, which restricts the power to identify and validate associations in other ethnic groups.[4]While some genetic associations appear broadly transferable, a comprehensive understanding of the genetic regulation of free cholesterol on a global scale necessitates larger studies that include diverse populations, particularly those of African ancestries.[4] Moreover, associations identified within specific physiological states, such as pregnancy, may not be directly applicable to non-pregnant individuals, highlighting the need for context-specific research.[5]Challenges in phenotypic measurement also impact the accuracy and comparability of free cholesterol data. Different analytical platforms, such as Nuclear Magnetic Resonance (NMR) spectroscopy and mass spectrometry, offer distinct advantages; NMR provides robust, high-throughput analysis of lipoprotein subclasses but may analyze fewer metabolic traits compared to mass spectrometry, which is more sensitive.[4] The use of varying biological matrices (e.g., serum versus plasma) across different cohorts, despite generally high correlations, can lead to differences in the absolute concentrations of metabolites.[1] Furthermore, the use of lipid-lowering medications by study participants, even when adjusted for or excluded, can influence observed lipid profiles and genetic associations, particularly in validation cohorts where medication rates can be substantial.[1], [4], [6]

Unaccounted Complexity and Remaining Knowledge Gaps

Section titled “Unaccounted Complexity and Remaining Knowledge Gaps”

Despite extensive genetic analyses, the full spectrum of factors influencing free cholesterol levels remains incompletely understood. While studies typically account for common confounders such as age, sex, and principal components to address population structure.[1], [2], [4]the intricate interplay of environmental factors and gene-environment interactions is often not fully captured. This unaddressed complexity likely contributes to the unexplained variance in free cholesterol levels, suggesting that a more holistic approach incorporating detailed environmental exposures is warranted.

Significant knowledge gaps persist, particularly concerning the genetic regulation of metabolism across diverse global populations, emphasizing the ongoing need for broader and more inclusive studies.[4]The reliance on genetic instruments consisting of only a single SNP can limit the ability to fully evaluate pleiotropy, thereby affecting the robustness of causal inferences related to free cholesterol.[5] Moreover, observations where statistical adjustments for clinical lipids led to substantial differences in effect measures for certain genetic regions underscore the presence of complex genetic architectures that require deeper investigation to prevent biased interpretations of genetic associations.[1]

Genetic variations play a critical role in determining an individual’s lipid profile, including the levels and distribution of free cholesterol in the bloodstream. These variants often affect genes involved in the synthesis, transport, and metabolism of lipoproteins, which carry cholesterol throughout the body. Understanding these genetic influences provides insight into the underlying mechanisms of lipid-related health conditions.

Key genes involved in the intricate regulation of cholesterol transport and lipoprotein metabolism includeAPOE, APOC1, CETP, and PCSK9. The APOEgene is crucial for the transport of lipids, particularly the uptake of triglyceride-rich lipoproteins by the liver, and variants in its region have been identified in comprehensive genetic analyses as having substantial differences related to lipid traits.[1] Similarly, the APOC1gene, which encodes apolipoprotein C-I, contributes to lipid metabolism by inhibiting cholesterol ester transfer protein (CETP) and hepatic lipase activity, thereby influencing free cholesterol distribution and having implications in disorders of lipid metabolism.[4] The CETPgene, responsible for cholesterol ester transfer protein, facilitates the exchange of cholesterol esters and triglycerides among lipoproteins, a process vital for free cholesterol balance; variations inCETP activity can profoundly alter HDL cholesterol levels. CETP is a well-established target for therapies aimed at modifying HDL cholesterol.[2] Furthermore, the PCSK9gene regulates the degradation of LDL receptors, with higher activity leading to elevated LDL cholesterol and free cholesterol. The variantrs11591147 near PCSK9 has been associated with various lipid species, including cholesterol esters and triglycerides, highlighting its broad impact on lipid homeostasis.[1] Genetic instruments for PCSK9have demonstrated a strong ability to lower concentrations of large LDL particles and very large HDL particles, directly influencing free cholesterol levels.[2] Other significant genes contributing to lipid homeostasis include LIPC and ALDH1A2, which impact lipid hydrolysis and retinoid metabolism, respectively. The LIPCgene encodes hepatic lipase, an enzyme critical for hydrolyzing triglycerides and phospholipids within various lipoproteins, thereby affecting lipoprotein particle size, composition, and the turnover of free cholesterol. TheLIPC genomic region shows strong associations with phosphatidylethanolamine species and classes, indicating its wide-ranging impact on lipid profiles.[1] Specifically, the genetic variant rs2043085 , located within the LIPC gene region, has been linked to circulating levels of phosphatidylethanolamine, further underscoring its role in lipid metabolism.[1] The ALDH1A2 gene, which codes for an aldehyde dehydrogenase involved in retinoic acid synthesis, indirectly influences lipid metabolism by modulating gene expression related to lipid synthesis, transport, and breakdown. Variations in ALDH1A2can therefore contribute to altered lipid profiles, including free cholesterol levels, through these broader regulatory pathways.

The LPA gene and PLTPalso contribute to the complex interplay of lipids and free cholesterol. TheLPAgene encodes apolipoprotein(a), a component of lipoprotein(a) (Lp(a)), whose levels are highly heritable and associated with an increased risk of coronary artery disease.[7]Elevated Lp(a) levels contribute to higher circulating free cholesterol, particularly in potentially harmful oxidized forms. Thers10455872 variant in the LPAlocus is associated with significant metabolic changes, with its G-allele influencing the mean diameter of very-low-density lipoprotein particles (VLDL.D), demonstrating its impact on lipoprotein structure and lipid content.[7] Meanwhile, the PLTPgene provides instructions for phospholipid transfer protein, an enzyme that facilitates the transfer of phospholipids and free cholesterol between lipoproteins. This activity is essential for the remodeling of HDL particles and the efflux of cholesterol from cells, meaning variations inPLTPcan alter HDL size and composition, thereby affecting reverse cholesterol transport and the overall balance of free cholesterol in the body.

RS IDGeneRelated Traits
rs1057208
rs139953093
rs6073958
PLTP - PCIF1red blood cell density
high density lipoprotein cholesterol measurement
total cholesterol measurement, high density lipoprotein cholesterol measurement
free cholesterol measurement
cholesterol:totallipids ratio, high density lipoprotein cholesterol measurement
rs2070895
rs139566989
rs633695
ALDH1A2, LIPChigh density lipoprotein cholesterol measurement
total cholesterol measurement
level of phosphatidylcholine
level of phosphatidylethanolamine
triglyceride measurement, depressive symptom measurement
rs112450640
rs80168591
CBLCAlzheimer disease, family history of Alzheimer’s disease
body weight
low density lipoprotein cholesterol measurement, lipid measurement
low density lipoprotein cholesterol measurement
low density lipoprotein cholesterol measurement, phospholipid amount
rs964184
rs139636218
ZPR1very long-chain saturated fatty acid measurement
coronary artery calcification
vitamin K measurement
total cholesterol measurement
triglyceride measurement
rs261290
rs2043085
rs261291
ALDH1A2level of phosphatidylethanolamine
level of phosphatidylcholine
high density lipoprotein cholesterol measurement
triglyceride measurement, high density lipoprotein cholesterol measurement
VLDL particle size
rs1065853
rs584007
rs1081105
APOE - APOC1low density lipoprotein cholesterol measurement
total cholesterol measurement
free cholesterol measurement
protein measurement
mitochondrial DNA measurement
rs821840
rs247616
rs3764261
HERPUD1 - CETPtriglyceride measurement
total cholesterol measurement
high density lipoprotein cholesterol measurement
low density lipoprotein cholesterol measurement
metabolic syndrome
rs10455872
rs140570886
rs142231215
LPAmyocardial infarction
lipoprotein-associated phospholipase A(2) measurement
response to statin
lipoprotein A measurement
parental longevity
rs118147862 BCAMmetabolic syndrome
low density lipoprotein cholesterol measurement
low density lipoprotein cholesterol measurement, lipid measurement
low density lipoprotein cholesterol measurement, phospholipid amount
triglycerides:totallipids ratio, low density lipoprotein cholesterol measurement
rs11591147
rs472495
rs11206517
PCSK9low density lipoprotein cholesterol measurement
coronary artery disease
osteoarthritis, knee
response to statin, LDL cholesterol change measurement
low density lipoprotein cholesterol measurement, alcohol consumption quality

Free cholesterol represents an unesterified sterol lipid, distinguished by the presence of a hydroxyl group at the C-3 position of its steroid ring structure.[1] This fundamental lipid species is a crucial component of the human lipidome, playing diverse biological roles.[1]Unlike cholesterol esters, which are formed when a fatty acid is attached to this hydroxyl group, free cholesterol remains in its unmodified form, allowing it to integrate directly into cell membranes. Within these membranes, it modulates fluidity, permeability, and the activity of membrane-bound proteins, also serving as a vital precursor for the biosynthesis of steroid hormones, bile acids, and vitamin D.

Classification and Distribution within Lipoproteins

Section titled “Classification and Distribution within Lipoproteins”

Free cholesterol is primarily classified and understood through its dynamic distribution across various lipoprotein subclasses.[8]These lipoprotein particles, such as very low-density lipoprotein (VLDL), low-density lipoprotein (LDL), and high-density lipoprotein (HDL), act as carriers for lipids throughout the circulatory system. Studies frequently quantify free cholesterol specifically within these fractions, identifying distinct levels such as free cholesterol in large LDL, free cholesterol in large HDL, and free cholesterol in very large HDL.[8]This detailed classification provides insights into the heterogeneity of lipoprotein metabolism and its implications for overall lipid homeostasis.[1]

Measurement Approaches and Operational Definitions

Section titled “Measurement Approaches and Operational Definitions”

The precise quantification of free cholesterol is achieved through advanced analytical techniques that provide operational definitions for its measurement. High-throughput nuclear magnetic resonance (NMR) spectroscopy is a widely employed platform for profiling metabolite biomarkers, including detailed cholesterol measures like free cholesterol.[9] These measurements are typically reported in absolute concentrations, such as millimoles per liter (mmol/L).[9] Another robust method is targeted lipidomic profiling using liquid chromatography coupled electrospray ionisation-tandem mass spectrometry (LC-ESI-MS/MS), which enables the quantification of numerous individual lipid species, including those within the sterol class, from biological samples like serum or plasma.[1]

The clinical and scientific significance of free cholesterol is underscored by its associations with metabolic and cardiovascular diseases, notably coronary artery disease.[1], [8]As a critical metabolic biomarker, deviations in free cholesterol levels and its specific distribution within lipoprotein subclasses are recognized as indicators of dyslipidemia and potential cardiovascular risk.[8] Genome-wide association studies have identified specific genetic variants, such as rs12130333 , rs13392272 , and rs55714927 , that are associated with variations in free cholesterol concentrations or its presence in particular lipoprotein fractions like large HDL.[8] This research enhances the understanding of the genetic architecture underlying lipid homeostasis and offers avenues for developing more targeted diagnostic and therapeutic interventions.

Free cholesterol is a fundamental lipid component within the human lipidome, existing in an unesterified form.[1]It is transported throughout the body primarily within lipoprotein particles, such as large low-density lipoprotein (LDL), large high-density lipoprotein (HDL), and very large HDL particles.[8]The balance of free cholesterol is crucial for maintaining cellular membrane integrity and serving as a precursor for steroid hormones and bile acids.

Several key biomolecules and enzymes regulate cholesterol metabolism and transport. For instance, variants in the LIPCgene, which encodes hepatic lipase, are associated with lower hepatic lipase activity, leading to alterations in lipoprotein profiles, including buoyant LDL and higher HDL2 cholesterol.[10] Endothelial lipase also plays a significant role, as partial or complete loss-of-function mutations in its gene impact HDL levels and their functionality . Furthermore, the liver’s phospholipid transfer protein (PLTP) expression can influence very low-density lipoprotein (VLDL) production, highlighting the intricate network of lipid particle remodeling.[11]Dietary factors, specifically fatty acids and carbohydrates, are known to influence the ratio of serum total to HDL cholesterol and overall serum lipid profiles, underscoring the interplay between diet and endogenous lipid metabolism.[5]

Genetic Influences on Free Cholesterol Levels

Section titled “Genetic Influences on Free Cholesterol Levels”

The levels of free cholesterol, like other lipid species, are influenced by a complex interplay of genetic mechanisms. Genome-wide association studies (GWAS) have identified numerous genetic variants linked to traditional clinical lipids such as LDL-cholesterol and HDL-cholesterol, with implicated genes showing functional connections to lipid levels and coronary artery disease.[1]The human lipidome, including free cholesterol, is recognized as a heritable trait, making individual lipid species valuable endophenotypes for identifying genes closer to the causal biological actions.[1]Specific genetic variants have been associated with free cholesterol, includingrs12130333 , rs13392272 , rs55714927 , and rs72836561 .[8] Beyond direct associations, genes like HMGCR (HMG-CoA reductase) and NPC1L1(Niemann-Pick C1-Like 1) are known for their roles in regulating LDL-C levels, with genetic variations in these genes affecting cardiovascular risk.[2] Additionally, APOB, encoding Apolipoprotein B, is a critical structural component of various lipoproteins, and its genetic variations can impact lipid metabolism.[5] Comprehensive genetic analyses also explore expression quantitative trait loci (eQTL), methylation QTL (meQTL), and protein QTL (pQTL) to understand how genetic variations regulate gene expression, methylation patterns, and protein levels, thereby influencing lipid species concentrations.[1]

Disruptions in free cholesterol homeostasis are closely linked to pathophysiological processes, particularly the development of coronary artery disease (CAD). Lowering LDL-cholesterol (LDL-C), a major carrier of cholesterol, is consistently associated with a reduction in cardiovascular risk, as supported by genetic, epidemiological, and clinical studies.[2]The human lipidome, including free cholesterol and its distribution across lipoprotein subclasses, is predictive of CAD, providing deeper insights into the disease’s biology.[1] Genetic variants associated with lipid levels often show pleiotropic effects with CAD, meaning they influence multiple traits, including both lipid metabolism and CAD risk.[1]Investigations into lipoprotein particle subclass heterogeneity, such as variations in HDL particle diameter or concentration of very large HDL particles, have revealed their importance in understanding incident coronary heart disease.[12]Importantly, genetic associations with coronary atherosclerosis can be identified independently of traditional clinical lipid measures, suggesting that detailed lipidomic profiling, including free cholesterol, offers a more granular view of cardiovascular risk factors.[1]

The precise quantification of free cholesterol and its distribution within lipoprotein subclasses is crucial for understanding lipid homeostasis and its impact on health. Modern analytical techniques, such as high-throughput nuclear magnetic resonance (NMR) spectroscopy, allow for detailed metabolic profiling, enabling the quantification of numerous metabolite biomarkers, including various cholesterol measures and lipoprotein particle diameters.[9]This advanced profiling provides a more comprehensive view than traditional clinical lipid measurements, which typically focus on total cholesterol, HDL-cholesterol, LDL-cholesterol, and triglycerides.[1]Measuring specific lipid species like free cholesterol within different lipoprotein particles (e.g., in large LDL or very large HDL) offers biologically simpler measures that may reside closer to the causal actions of genes, thereby serving as valuable endophenotypes for gene identification.[1]Such detailed lipidomic analysis has proven instrumental in uncovering thousands of genetic variants linked to lipid homeostasis and their functional connections to diseases like coronary artery disease.[1] These insights contribute to a deeper understanding of the genetic architecture of lipid metabolism and its systemic consequences for human health.

Metabolic Pathways of Cholesterol Synthesis and Lipid Modification

Section titled “Metabolic Pathways of Cholesterol Synthesis and Lipid Modification”

The synthesis and modification of free cholesterol involve intricate metabolic pathways that maintain lipid homeostasis. A central component in cholesterol biosynthesis isHMGCR (HMG-CoA reductase), which catalyzes a rate-limiting step in the mevalonate pathway, making it a key target for metabolic regulation.[2] Beyond cholesterol, the broader lipidome is shaped by enzymes such as the fatty acid desaturases, including FADS1, FADS2, and FADS3, which modulate the synthesis of various fatty acids like long-chain omega-3 and omega-6 polyunsaturated fatty acids, and sphingoid bases such as 4,14-sphingadiene.[13], [14], [15]The serine palmitoyltransferase complex, particularly itsSPTLC3 subunit, further contributes to lipid diversity by generating short-chain sphingoid bases, demonstrating how specific enzymatic activities dictate the spectrum of complex lipids available for cellular functions.[16], [17]These biosynthetic and modification pathways are tightly controlled, with various mechanisms ensuring appropriate lipid levels. For instance, the degradation of the low-density lipoprotein receptor (LDLR) is regulated by PCSK9(Proprotein convertase subtilisin/kexin type 9), an enzyme that influences the clearance of circulating low-density lipoprotein cholesterol (LDL-C) and thus overall cholesterol flux.[2] The balance between synthesis, uptake, and catabolism is crucial, and disruptions can lead to the accumulation of specific lipid species, highlighting the interconnectedness of these metabolic processes.

Free cholesterol and other lipids are transported throughout the body as components of lipoproteins, which are dynamically regulated to ensure systemic delivery and removal.APOB(Apolipoprotein B) is a critical structural protein for very-low-density lipoprotein (VLDL) and LDL particles, playing a fundamental role in their assembly, secretion, and recognition by cellular receptors.[6], [18], [19] The uptake of LDL and VLDL by cells is also influenced by hypoxia-inducible factor-1 (HIF-1), which can induce the expression of VLDLR (VLDL receptor) under low oxygen conditions, thereby linking cellular energy status to lipid absorption.[20]These interactions highlight a complex network where lipoprotein composition, receptor availability, and environmental cues collectively dictate the systemic distribution and cellular availability of cholesterol and other lipids.

The interconversion and remodeling of lipoproteins are facilitated by several key enzymes and transfer proteins. Lipoprotein lipase (LPL) plays a crucial role in hydrolyzing triglycerides within chylomicrons and VLDL, releasing fatty acids for tissue uptake.[21]Hepatic lipase similarly contributes to the metabolism of triglyceride-rich lipoproteins and high-density lipoprotein (HDL), influencing their size and composition.[22], [23] Furthermore, CETP(cholesteryl ester transfer protein) mediates the transfer of cholesteryl esters from HDL to other lipoproteins, impacting the reverse cholesterol transport pathway and overall cholesterol distribution.[21] This intricate interplay of enzymes and structural proteins ensures the efficient transport and metabolic flux of lipids, integrating individual pathways into a cohesive system for lipid homeostasis.

Genetic and Transcriptional Regulation of Lipid Homeostasis

Section titled “Genetic and Transcriptional Regulation of Lipid Homeostasis”

The regulation of free cholesterol levels and lipid metabolism is profoundly influenced by genetic factors and sophisticated transcriptional control mechanisms. Genome-wide association studies (GWAS) have identified numerous genetic loci associated with circulating levels of total cholesterol (TC), HDL-C, LDL-C, and triglycerides (TG), revealing a complex genetic architecture underlying lipid biology.[6], [24], [25] Beyond common variants, rare genetic variants also contribute significantly to individual differences in metabolic biomarkers, with some genes near established GWAS signals showing enrichment for rare variant associations, suggesting the presence of effector transcripts that fine-tune lipid metabolism.[6] These studies underscore a hierarchical regulatory system where both common and rare genetic variations collectively orchestrate the intricate processes of lipid homeostasis.

Transcriptional regulation plays a vital role in modulating lipid pathways, often through the activation of specific transcription factors and feedback loops. For instance, the ABCA6 gene has been associated with cholesterol levels, suggesting its involvement in cholesterol transport or efflux mechanisms.[26] Similarly, HIF3A(Hypoxia-inducible factor 3 alpha) DNA methylation and its association with adiposity indicate a link between epigenetic modifications and lipid-related traits, potentially influencing the expression of genes involved in fat storage and metabolism.[27], [28] These regulatory mechanisms, ranging from direct gene activation to epigenetic modifications, provide multiple layers of control over lipid production, transport, and utilization, ensuring cellular and systemic metabolic balance.

Clinical Relevance and Therapeutic Modulation of Cholesterol Pathways

Section titled “Clinical Relevance and Therapeutic Modulation of Cholesterol Pathways”

Dysregulation of free cholesterol pathways is a significant contributor to various diseases, particularly cardiovascular disease (CVD), making these pathways crucial targets for therapeutic intervention. Extensive evidence from genetic, epidemiologic, and clinical studies demonstrates a causal link between lowering LDL-C and a reduced risk of cardiovascular events.[2], [21], [29] Genetic polymorphisms in key genes like NPC1L1 (Niemann-Pick C1-Like 1) and HMGCRthat naturally lead to lower LDL-C levels are associated with a decreased risk of coronary heart disease, validating these targets for therapeutic strategies.[21] This understanding has driven the development of lipid-modifying therapies, including statins that inhibit HMGCR and PCSK9 inhibitors that reduce LDLR degradation, both effectively lowering LDL-C.[2]Further insights into disease-relevant mechanisms have revealed additional therapeutic opportunities and compensatory pathways. Loss-of-function mutations inAPOC3 (Apolipoprotein C3), which typically inhibits LPL, lead to lower remnant cholesterol and LDL-C, thereby reducing cardiovascular risk.[30] Similarly, deficiency in ANGPTL3(Angiopoietin-like 3), a protein that regulates lipoprotein metabolism, has been shown to protect against coronary artery disease.[27], [31]These findings, often supported by Mendelian randomization studies that infer causality from genetic variations, highlight the potential for targeting specific components of lipoprotein metabolism to achieve beneficial health outcomes and underscore the importance of understanding these pathways for developing precision medicine approaches.[2], [6]

Free cholesterol, a component of various lipoprotein particles, plays a significant role in assessing cardiovascular risk and predicting disease outcomes. While traditional lipid panels focus on total, HDL, and LDL cholesterol, detailed measures of free cholesterol, often obtained through advanced metabolomic profiling using techniques like nuclear magnetic resonance (NMR) spectroscopy, provide a more nuanced understanding of lipid metabolism (.[1], [9]). These detailed lipid profiles, including free cholesterol in different lipoprotein subfractions (e.g., large LDL, large HDL), have been shown to be valuable biomarkers for disease diagnosis and prognosis, contributing to the understanding of cardiovascular disease (CVD) development (.[6], [32], [33]). Understanding the levels and distribution of free cholesterol in the context of lipoprotein subfractions can help identify individuals at higher risk for adverse cardiovascular events and potentially guide more personalized prevention strategies (.[12] ).

Diagnostic Utility and Monitoring Metabolic Health

Section titled “Diagnostic Utility and Monitoring Metabolic Health”

The quantification of free cholesterol, typically measured in absolute concentration (mmol/L) from plasma or serum samples, offers diagnostic utility in evaluating an individual’s metabolic health (.[1], [9]). Advanced lipidomic profiling platforms allow for the precise measurement of hundreds of lipid species, including free cholesterol, enabling comprehensive assessment beyond standard clinical lipids (.[1]). Such detailed metabolic insights are crucial for monitoring the effectiveness of lifestyle interventions or pharmacological treatments aimed at modulating lipid metabolism. For instance, in studies investigating the impact of lipid-modifying therapies or other interventions, researchers often exclude individuals on lipid-lowering medications to avoid confounding effects, highlighting the sensitivity of these biomarkers to therapeutic changes (.[6], [7] ).

Genetic Insights and Therapeutic Implications

Section titled “Genetic Insights and Therapeutic Implications”

Genetic research has revealed specific loci associated with circulating free cholesterol levels, providing insights into its biological regulation and potential therapeutic targets. For example, variants such asrs12130333 , rs55714927 , and other unnamed loci have been linked to free cholesterol concentrations (.[8]). Understanding these genetic influences on free cholesterol can help elucidate the underlying mechanisms of lipid homeostasis and its dysregulation in disease states (.[6]). Integrating genomics with biomarkers like free cholesterol can invigorate cardiovascular drug development by identifying novel therapeutic targets with strong genetic support, potentially leading to more effective and personalized medicine approaches (.[21], [34] ).

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[2] Richardson, T. G. et al. “Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation.” PLoS Biol, 2022.

[3] World Health Organization. “Cardiovasc Dis.” 2020. Available from: https://www.who.int/health-topics/cardiovascular-diseases/#tab=tab_1.

[4] Karjalainen, M. K., et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature, vol. 627, 2024, pp. 360–368.

[5] Fuller, H., et al. “Metabolic drivers of dysglycemia in pregnancy: ethnic-specific GWAS of 146 metabolites and 1-sample Mendelian randomization analyses in a UK multi-ethnic birth cohort.”Front Endocrinol (Lausanne), vol. 14, no. 1177695, 2023.

[6] Riveros-Mckay, F et al. “The influence of rare variants in circulating metabolic biomarkers.” PLoS Genet, vol. 16, no. 3, 2020, e1008630.

[7] Kettunen, J et al. “Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA.” Nat Commun, vol. 7, 2016, p. 11122.

[8] Davis, J. P. et al. “Common, low-frequency, and rare genetic variants associated with lipoprotein subclasses and triglyceride measures in Finnish men from the METSIM study.”PLoS Genet, 2017. PMID: 29084231.

[9] Davyson, E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.”Biol Psychiatry, vol. 93, no. 7, 2023, pp. 605-616.

[10] Zambon, Alberto, et al. “Common variants in the promoter of the hepatic lipase gene are associated with lower levels of hepatic lipase activity, buoyant LDL, and higher HDL2 cholesterol.” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 18, no. 11, 1998, pp. 1723-1729.

[11] Yazdanyar, Ali, and Xin-Cheng Jiang. “Liver phospholipid transfer protein (PLTP) expression with a PLTP-null background promotes very low-density lipoprotein production in mice.”Hepatology, vol. 56, no. 2, 2012, pp. 576-584.

[12] Petersen, AK et al. “Genetic associations with lipoprotein subfractions provide information on their biological nature.”Hum Mol Genet, vol. 21, no. 19, 2012, pp. 4432-44.

[13] Ameur, A. et al. “Genetic adaptation of fatty-acid metabolism: a human-specific haplotype increasing the biosynthesis of long-chain omega-3 and omega-6 fatty acids.” Am J Hum Genet, 2012.

[14] Koletzko, B. et al. “FADS1 and FADS2 polymorphisms modulate fatty acid metabolism.” Front Endocrinol (Lausanne), 2023.

[15] Jojima, K. et al. “Biosynthesis of the anti-lipid-microdomain sphingoid base 4,14-sphingadiene by the ceramide desaturase FADS3.” FASEB J., 2020.

[16] Hornemann, T. et al. “The SPTLC3 subunit of serine palmitoyltransferase generates short chain sphingoid bases.”J. Biol. Chem., 2009.

[17] Lone, M. A. et al. “Subunit composition of the mammalian serine-palmitoyltransferase defines the spectrum of straight and methyl-branched long-chain bases.”Proc. Natl Acad. Sci. USA, 2020.

[18] MedlinePlus. “APOB gene national library of medicine (US): NIH.” NIH, 2021.

[19] Sniderman, A. D. et al. “Apolipoprotein B particles and cardiovascular disease: a narrative review.”JAMA Cardiol., 2019.

[20] Shen, G. et al. “Hypoxia-inducible factor-1 (HIF-1) promotes LDL and VLDL uptake through inducing VLDLR under hypoxia.” Biochem J., 2012.

[21] Ference, B. A. et al. “Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis.”JAMA, 2016.

[22] Jansen, H., Verhoeven, A. J. M. & Sijbrands, E. J. G. “Hepatic lipase.” J. Lipid Res., 2002.

[23] Santamarina-Fojo, S. et al. “Hepatic lipase, lipoprotein metabolism, and atherogenesis.”Arterioscler. Throm. Vasc. Biol., 2004.

[24] Willer, C. J. et al. “Discovery and refinement of loci associated with lipid levels.” Nat. Genet., 2013.

[25] Klarin, D. et al. “Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.” Nat. Genet., 2018.

[26] van Leeuwen, E. M. et al. “Genome of The Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels.” Nat Genet, 2014.

[27] Wang, Q. et al. “Metabolic profiling of angiopoietin-like protein 3 and 4 inhibition: a drug-target Mendelian randomization analysis.” Eur Heart J, 2018.

[28] Pan, H. et al. “HIF3A association with adiposity: the story begins.” PLoS One, 2015.

[29] Silverman, M. G. et al. “Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis.”JAMA, 2016.

[30] Wulff, A. B. et al. “APOC3 Loss-of-Function Mutations, Remnant Cholesterol, Low-Density Lipoprotein Cholesterol, and Cardiovascular Risk: Mediation- and Meta-Analyses of 137 895 Individuals.”Arterioscler Thromb Vasc Biol., 2018.

[31] Fernández-Ruiz, I. “ANGPTL3 deficiency protects from CAD.” Nat. Rev. Cardiol., 2017.

[32] Fischer, K et al. “Biomarker profiling by nuclear magnetic resonance spectroscopy for the prediction of all-cause mortality: an observational study of 19,634 individuals.”PLoS Med, vol. 11, no. 2, 2014, e1001606.

[33] Würtz, P et al. “Metabolite profiling and cardiovascular event risk: a prospective study of 3 population-based cohorts.”Circulation, vol. 131, no. 9, 2015, pp. 774-85.

[34] Holmes, MV et al. “Integrating genomics with biomarkers and therapeutic targets to invigorate cardiovascular drug development.”Nat Rev Cardiol, 2021.