FB-TW

Showing posts with label LDL-P. Show all posts
Showing posts with label LDL-P. Show all posts

Wednesday, February 28, 2018

LDL Cholesterol Particle Size and Number What Gives ?

LDL Particle Size and Particle Number, What Gives?
Ron is a 72 year old retired engineer, and has a total cholesterol of 174 which hasn’t changed over the seven years we have been following him. This is quite low. Yet, Ron is concerned because his LDL particle number and LDL particle size are “outside of the lab range”.  He is very worried about this and is concerned about his risk for future heart attack.  I explained to Ron the lab range doesn’t apply to him.  Ron’s Calcium Score is low, and his total cholesterol is 174, and he does not have metabolic syndrome or diabetes, so he doesn’t need to worry about the LDL particle size or particle number.
What does the mainstream cardiology say about the value of LDL particle size and number?
The Quebec Study – Small Dense LDL Associated with Increased Mortality from Coronary Artery Disease
Small Dense LDL associated with Increased Risk St Pierre QuebecYou might say “wait just a minute here”, the Quebec study followed 2072 males over 13 years and found that small dense LDL was associated with increased mortality from cardiovascular disease above chart).(6)  The above chart is very convincing, and the three lines for small dense LDL are nicely separated. (6) However, as pretty as the above chart looks, Correlation is not necessarily causation.  If increased small dense LDL particle number causes coronary artery disease, then an intervention that reduces small dense LDL particles should be preventive.  However we know that it is not. Above image courtesy of Medscape.
Houston, We Have a Problem,  New Drug Reduces Small LDL,
However, No Benefit in Preventing Heart Disease
Treatment with the new cholesterol lowering drug, Evacetrapib, resulted in significant decreases in “total LDL particle number (LDL-P) (up to -54%), and small LDL particle (sLDL) (up to -95%) concentrations”.(5) Yet, according to Dr Lincoff in NEJM 2017,
“treatment with evacetrapib did not result in a lower rate of cardiovascular events than placebo among patients with high-risk vascular disease.”(4)
As a matter of fact, Eli Lilly abandoned drug development after this failed study.(4)  So we see that reducing total LDL particle number, or increasing LDL particle size had no benefit for preventing death from heart disease.  The benefit was same as a placebo.
Dr Allaire  agrees that LDL particle size is not very useful.  Dr Allaire writes in 2017 Current Opinion in Lipidology:(1)
“LDL particle size….has not been independently associated with CVD risk after adjustment for other risk factors such as LDL cholesterol, triglycerides, and HDL-C and that routine use of information pertaining to particle size to determine and manage patients’ risk is not yet justified.”(1)
In other words, according to Dr Allaire,  the LDL particle size is not a good predictor of cardiovascular risk.(1)
Predicting Risk: LDL Subfraction Vs. Calcium Score
The next question you might ask: “If LDL cholesterol is not helpful, then what other test is useful for predicting risk of cardiovascular disease?” 
The answer is the Calcium Score which is an inexpensive test which uses a CAT scan to measure the amount of calcium in the coronary arteries.  Studies show that the higher the number the greater the risk, the lower the number the smaller the risk.  None of the cholesterol subfractions can provide this type of information, and in my opinion should be relegated to the medial museum, as a relic from the past.
Conclusion: When it comes down to a contest between LDL Cholesterol Subfractions and Calcium Score, there is no contest.  The Calcium Score wins every time.
Jeffrey Dach MD
7450 Griffin Road Suite 190
Davie Florida 33314
954 792-4663
Articles with Related Interest
Links and References
Header Image LDL particle courtesy of Drs Wolfson
1) Curr Opin Lipidol. 2017 Jun;28(3):261-266. LDL particle number and size and cardiovascular risk: anything new under the sun? Allaire J1, Vors C, Couture P, Lamarche B.
LDL particle size, on the other hand, has not been independently associated with CVD risk after adjustment for other risk factors such as LDL cholesterol, triglycerides, and HDL-C and that routine use of information pertaining to particle size to determine and manage patients’ risk is not yet justified.
We provide here an up-to-date perspective on the potential use of LDL particle number and size as complementary risk factors to predict and manage cardiovascular disease (CVD) risk in the clinical realm.
RECENT FINDINGS:  Studies show that a significant proportion of the population has discordant LDL particle number and cholesterol indices [non-HDL cholesterol (HDL-C)]. Data also show that risk prediction may be improved when using information on LDL particle number in patients with discordant particle number and cholesterol data. Yet, most of the current CVD guidelines conclude that LDL particle number is not superior to cholesterol indices, including non-HDL-C concentrations, in predicting CVD risk. LDL particle size, on the other hand, has not been independently associated with CVD risk after adjustment for other risk factors such as LDL cholesterol, triglycerides, and HDL-C and that routine use of information pertaining to particle size to determine and manage patients’ risk is not yet justified.
SUMMARY:  Additional studies are required to settle the debate on which of cholesterol indices and LDL particle number is the best predictor of CVD risk, and if such measures should be integrated in clinical practice.
Women with discordant high particle concentration were more likely to have metabolic syndrome (MetS) and diabetes
2) Clin Chem. 2017 Apr;63(4):870-879. doi: 10.1373/clinchem.2016.264515. Epub 2017 Feb 7.  Discordance between Circulating Atherogenic Cholesterol Mass and Lipoprotein Particle Concentration in Relation to Future Coronary Events in Women.
Lawler PR1,2,3,4, Akinkuolie AO1,3, Ridker PM2,3, Sniderman AD5, Buring JE3,4, Glynn RJ3,4, Chasman DI3, Mora S6,2,3.
It is uncertain whether measurement of circulating total atherogenic lipoprotein particle cholesterol mass [non-HDL cholesterol (nonHDLc)] or particle concentration [apolipoprotein B (apo B) and LDL particle concentration (LDLp)] more accurately reflects risk of incident coronary heart disease (CHD). We evaluated CHD risk among women in whom these markers where discordant.
METHODS:Among 27533 initially healthy women in the Women’s Health Study (NCT00000479), using residuals from linear regression models, we compared risk among women with higher or lower observed particle concentration relative to nonHDLc (highest and lowest residual quartiles, respectively) to individuals with agreement between markers (middle quartiles) using Cox proportional hazards models.
RESULTS:Although all 3 biomarkers were correlated (r ≥ 0.77), discordance occurred in up to 20.2% of women. Women with discordant high particle concentration were more likely to have metabolic syndrome (MetS) and diabetes (both P < 0.001). Over a median follow-up of 20.4 years, 1246 CHD events occurred (514725 person-years). Women with high particle concentration relative to nonHDLc had increased CHD risk: age-adjusted hazard ratio (95% CI) = 1.77 (1.56-2.00) for apo B and 1.70 (1.50-1.92) for LDLp. After adjustment for clinical risk factors including MetS, these risks attenuated to 1.22 (1.07-1.39) for apo B and 1.13 (0.99-1.29) for LDLp. Discordant low apo B or LDLp relative to nonHDLc was not associated with lower risk.
CONCLUSIONS:Discordance between atherogenic particle cholesterol mass and particle concentration occurs in a sizeable proportion of apparently healthy women and should be suspected clinically among women with cardiometabolic traits. In such women, direct measurement of lipoprotein particle concentration might better inform CHD risk assessment.
3)   Curr Opin Endocrinol Diabetes Obes. 2018 Jan 10. Discordance between lipoprotein particle number and cholesterol content: an update.
Cantey EP1, Wilkins JT2.
The cholesterol content within atherogenic apolipoprotein-B (apoB) containing lipid particles is the center of consensus guidelines and clinicians’ focus whenever evaluating a patient’s risk for atherosclerotic cardiovascular disease. The pathobiology of atherosclerosis requires the retention of lipoprotein particles within the vascular intima over time followed by maladaptive inflammation resulting in plaque formation and rupture in some. The cholesterol content is widely variable within each particle creating either cholesterol-deplete or cholesterol-enriched particles. This variance in particle cholesterol content varies within and between individuals. Discordance analysis exploits this difference in cholesterol content of particles to demonstrate the differential significance of LDL-cholesterol (LDL-C) and non-HDL-C from measures of lipoprotein particle number in terms of assessing atherosclerotic cardiovascular disease risks.
RECENT FINDINGS:Three studies have added to the growing body of literature of discordance analysis. Despite wide variability of discordance cutoffs, baseline risk of atherosclerotic disease, and populations sampled, the conclusion remains the same: risk of atherosclerotic disease follows apoB lipid particle concentration rather than cholesterol content of lipid particles.
SUMMARY:In addition to traditional lipid fractions, assessments of atherogenic particle number should be strongly considered whenever assessing CVD risk in nontreated and treated individuals. There is a need for clinical trials that focus not only on the reduction in LDL-C but apoB, as well.
4)  Lincoff, A. Michael, et al. “Evacetrapib and cardiovascular outcomes in high-risk vascular disease.” New England Journal of Medicine 376.20 (2017): 1933-1942.
Although treatment with evacetrapib has resulted in reductions of 60 to 70% in the levels of small dense LDL particles,29 effects on the total number of LDL particles and on apolipoprotein B levels (reductions of 22% and 20%, respectively) are considerably less pronounced.
CONCLUSIONS:Although the cholesteryl ester transfer protein inhibitor evacetrapib had favorable effects on established lipid biomarkers, treatment with evacetrapib did not result in a lower rate of cardiovascular events than placebo among patients with high-risk vascular disease.
Potent CETP inhibitors reduce plasma concentrations of atherogenic lipoprotein biomarkers of cardiovascular risk.
OBJECTIVES:To evaluate the effects of the cholesteryl ester transfer protein (CETP) inhibitor evacetrapib, as monotherapy or with statins, on atherogenic apolipoprotein B (apoB)-containing lipoproteins in mildly hypercholesterolemic patients.
METHODS:VLDL and LDL particle concentrations and sizes (using nuclear magnetic resonance spectroscopy) and lipoprotein(a) concentration (using nephelometry) were measured at baseline and week 12 in a placebo-controlled trial of 393 patients treated with evacetrapib as monotherapy (30 mg/d, 100 mg/d, or 500 mg/d) or in combination with statins (100 mg plus simvastatin 40 mg/d, atorvastatin 20 mg/d, or rosuvastatin 10 mg/d; Clinicaltrials.gov Identifier: NCT01105975).
RESULTS:Evacetrapib monotherapy resulted in significant placebo-adjusted dose-dependent decreases from baseline in Lp(a) (up to -40% with evacetrapib 500 mg), total LDL particle (LDL-P) (up to -54%), and small LDL particle (sLDL) (up to -95%) concentrations. Compared to statin alone, coadministration of evacetrapib and statins also resulted in significant reduction from baseline in Lp(a) (-31%), LDL-P (-22%), and sLDL (-60%) concentrations. The percentage of patients with concentrations above optimal concentrations for LDL-P (>1000 nmol/L) and sLDL (>600 nmol/L) decreased from 88% and 55% at baseline, respectively, to 20% and 12% at week 12, for patients treated with evacetrapib plus statins. Evacetrapib, alone or with statins, significantly increased LDL-P size.
CONCLUSIONS:Evacetrapib, as monotherapy or with statins, significantly reduces the concentrations of atherogenic apoB-containing lipoproteins, including Lp(a), LDL-P, and sLDL.
6) St-Pierre, Annie C., et al. “Low-density lipoprotein subfractions and the long-term risk of ischemic heart disease in men: 13-year follow-up data from the Quebec Cardiovascular Study.” Arteriosclerosis, thrombosis, and vascular biology 25.3 (2005): 553-559.Low density lipoprotein Risk of ischemic heart disease Quebec St Pierre Annie Arterio thrombo vasc bio 2005
The objective of the present study was to investigate the association between large and small low-density lipoprotein (LDL) and long-term ischemic heart disease (IHD) risk in men of the Quebec Cardiovascular Study.
METHODS AND RESULTS:Cholesterol levels in the large and small LDL subfractions (termed LDL-C> or =260A and LDL-C<255a 13="" 2072="" 262="" a="" all="" and="" angina="" at="" baseline="" cardiovascular="" cohort="" coronary="" death="" during="" electrophoresis="" estimated="" events="" examination="" first="" followed-up="" for="" free="" from="" gel="" gradient="" ihd="" in="" infarction="" men="" myocardial="" nbsp="" nonfatal="" of="" pectoris="" period="" plasma="" polyacrylamide="" population-based="" quebec="" recorded.="" respectively="" strong="" study.="" style="border: 0px; font-family: inherit; font-style: inherit; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;" the="" unstable="" were="" which="" whole="" years="">Our study confirmed the strong and independent association between LDL-C<255a a="" and="" as="" dense="" ihd="" in="" ldl="" levels="" men="" of="" phenotype="" proxy="" risk="" small="" strong="" the="">, particularly over the first 7 years of follow-up. However, elevated LDL-C> or =260A levels (third versus first tertile) were not associated with an increased risk of IHD over the 13-year follow-up (RR=0.76; P=0.07).
CONCLUSIONS:These results indicated that estimated cholesterol levels in the large LDL subfraction were not associated with an increased risk of IHD in men and that the cardiovascular risk attributable to variations in the LDL size phenotype was largely related to markers of a preferential accumulation of small dense LDL particles.
==========================================================
Read the complete article here.

Monday, March 31, 2014

Patients Managed to Target LDL Particle Number Experience Fewer Cardiovascular Events

Patients Managed to Target LDL Particle Number Experience Fewer Cardiovascular Events Than Patients Managed to Target LDL Cholesterol, According to Study

Data demonstrates that the NMR LipoProfile® test provides clinically reliable information to help reduce cardiovascular events, especially in patients with diabetes and those on statin therapy

 
WASHINGTON, March 31, 2014 /PRNewswire/ -- LipoScience, Inc. (NASDAQ: LPDX), a diagnostic company pioneering a new field of personalized nuclear magnetic resonance (NMR) diagnostics to advance the quality of patient care in cardiovascular, metabolic and other diseases, today announced data showing that patients managed to a target LDL particle (LDL-P) number, as measured by LipoScience's NMR LipoProfile test, achieved a 22 to 25 percent greater reduction in the risk of cardiovascular (CV) events over a three-year period compared to patients who attained LDL cholesterol (LDL-C) targets.
 
These data, presented in a poster session at the 63rd American College of Cardiology (ACC) Scientific Sessions in Washington, D.C., are derived from a real-world sample of commercially insured patients who were at a high risk of CV events, including patients with Coronary Heart Disease and Diabetes Mellitus. The investigators found that patients who achieved target LDL-P levels (<1000 aggressive="" concentrations="" dl="" ldl-c="" lipid-lowering="" mg="" more="" nmol="" p="" reaching="" received="" target="" than="" those="" treatment="">
 
Those treatment differences were associated with better outcomes (as measured by the reduction in CV event rates) over one to three years of follow-up. The study was sponsored by LipoScience and jointly designed by LipoScience and HealthCore, with clinical input from Terry A. Jacobson, MD, Professor of Medicine at Emory University, Atlanta, and Peter P. Toth, MD, PhD, Director of Preventive Cardiology at CGH Medical Center in Sterling, Ill.
 
"These new data add to the growing body of evidence suggesting that NMR measurement of LDL particle number, when used in conjunction with other lipid measurements, is a valuable cardiovascular risk management tool," commented Dr. Jacobson, the lead author of the study. "Due to the wide variance in the cholesterol content of LDL particles among individuals, measurements of LDL cholesterol and LDL particle number frequently disagree, especially in patients with insulin resistance and those treated with lipid-lowering therapies. When a disagreement between LDL-P and LDL-C is present, quantification of LDL particle number is a more clinically reliable measure of LDL and of treatment outcomes than measurement of LDL cholesterol."
 
Dr. Jacobson and colleagues analyzed data from more than 4,000  high-risk patients (over 2,000 with LDL-P < 1000 nmol/L and over 2,000 with LDL-C < 100 mg/dL) selected from the HealthCore Integrated Research DatabaseSM who were followed for as long as three years. Those who achieved LDL-P target <1000 100="" 22="" 25="" a="" above="" achieved="" as="" at="" baseline="" below="" but="" compared="" concentrations="" cv="" dl.="" event="" follow-up.="" group="" higher-potency="" in="" ldl-c="" ldl-p="" levels="" likely="" lower="" measured="" medications="" mg="" more="" nmol="" not="" noted="" of="" one="" over="" p="" patients="" percent="" receive="" risk="" statin="" target="" than="" the="" three="" to="" was="" were="" who="" whose="" years="">
Dr. Jacobson's poster, "Comparison of cardiovascular events between patients achieving low-density lipoprotein particle targets and patients achieving low-density lipoprotein cholesterol targets," will be presented Monday, March 31 from 9:30 a.m. to 12:30 p.m. in Hall C of the Washington Convention Center. The poster number is 150.
 
"The HealthCore data add an important, real-world, analysis to the ongoing discussion of how best to optimize individual patient management. These findings are consistent with the recommendations of various expert panels and organizations such as the National Lipid Association, the American Association for Clinical Chemistry, and the American Association of Clinical Endocrinologists, each of which advocates the use of LDL-P as a target of therapy in managing at-risk patients," stated William C. Cromwell, MD, Chief Medical Officer of LipoScience.  "We hope the findings encourage greater adoption by clinicians to manage their patients to an LDL-P target to reduce CVD events."
The ACC Scientific Session also includes the following poster presentations that support the clinical utility of NMR-based lipoprotein particle measurement:
  • Poster #143: May HT, et al. Utility of high-density lipoprotein cholesterol, particle concentration, and size in predicting future major adverse cardiovascular events among patients undergoing angiography: The Intermountain Heart Collaborative Study.
    • Saturday, March 29, 9:30am to 12:30pm, Hall C
  • Poster #146: Muhlestein JB, et al. GlycA and GlycB, novel NMR biomarkers of inflammation, strongly predict future cardiovascular events, but not the presence of coronary artery disease (CAD), among patients undergoing coronary angiography: The Intermountain Heart Collaborative Study.
    • Sunday, March 30, 9:30am to 12:30pm, Hall C
  • Poster #128: Koren MJ, et al. Effects of alirocumab, a fully human monoclonal antibody to proprotein convertase subtilisin/kexin type 9, on lipoprotein particle concentrations determined by nuclear magnetic resonance: Substudy of a randomized double-blind phase II clinical trial.
    • Sunday, March 30, 9:30am to 12:30pm, Hall C
  • Poster #134: Xu R, et al. Effects of evolocumab on lipoprotein particles and subclasses in hypercholesterolemic and heterozygous familial hypercholesterolemia subjects on statin therapy
    • Sunday, March 30, 9:30am to 12:30pm, Hall C
  • Poster #141 Alexander V, An antisense inhibitor of apolipoprotein C-III significantly decreases apolipoprotein C-III, triglycerides, Very-Low-Density Lipoprotein cholesterol and particle number, and increases High-Density Lipoprotein cholesterol and particle number in hypertriglyceridemic patients on a fibrate.
    • Monday, March 31, 9:30am to 12:30pm, Hall C
 
====================================================================
Read the complete article here.

Tuesday, September 3, 2013

So is niacin a dead drug? Dayspring

Commentary on Niacin’s Effect on Lp(a) in AIM HIGH


Here are my thoughts as a clinical lipidologist (By: Thomas Dayspring, MD, FACP, FNLA, NCMP)

We must get apoB (LDL-P) to goal in all at-risk patients. Lifestyle therapies and statins are the mainstay of therapy. However residual risk is high if apoB (LDL) remains elevated despite at-goal LDL-C, non-HDL-C), any level of HDL-C or if Lp(a) mass is elevated.

So I would have no hesitancy in adding niacin to high and very high risk patients who have not achieved apoB (LDL-P) goals with whatever therapies they are using or using niacin as a monotherapy in those intolerant of other apoB lowering meds.

Data from HPS THRIVE 2 (discussed in a recent commentary) suggested statin plus ezetimibe was better at event reduction than statin plus niacin [9]. In view of that and the very significant side effects reported in HPS THRIVE 2 [bleeding (GI, intracranial, other) in the niacin group: 326 (2.5%) to 238 (1.9%) and infection 1031(8%) to 853 (6.6%)] [3] makes niacin a tertiary or quaternary add-on drug (some may prefer the bile acid sequestrant colesevelam as an apoB lowering medication).
=====================================================================
Read the complete article here.

Thursday, August 29, 2013

Niacin’s Effect on Lp(a) in AIM HIGH - Dayspring

Commentary on Niacin’s Effect on Lp(a) in AIM HIGH
    
In 2013 we have already published two commentaries on niacin (Commentary on Niacin vs Ezetimibe as add on to Statin) and (Examination of the Recently Announced Preliminary Results of the HPS2-THRIVE Study), specifically extended release available as Niaspan, a seemingly potent lipid- and lipoprotein-modulating drug that dates back to the 1960’s. Initially it was used to reduce elevated cholesterol levels but eventually it was found to also raise HDL-C which for a variety of reasons was assumed to be very desirable (thought being that if low HDL-C is a strong CV risk factor, then raising it must be beneficial).  Also of interest was niacin’s ability to significantly reduce lipoprotein (a) mass [Lp(a)]. Indeed, a group entitled European Atherosclerosis Society Consensus Panel issued a statement strongly advising niacin be used for CV benefits in patients with elevated Lp(a) [1]. Interestingly that panel noted there was virtually no clinical trial support for this recommendation other than the fact that niacin does indeed reduce Lp(a) mass. Most lipidologists agreed with the belief that even if reducing Lp(a) does not matter, niacin would at least reduce apolipoprotein B (apoB) which is seemingly always desirable. NCEP ATP-III simply advocated achieving LDL-C goals in persons with risk related to Lp(a) issues. 
 
niacinandlpacommentary
 
 
 
Recent trials [The Atherothrombosis Intervention in Metabolic Syndrome with Low HDL/High Triglycerides: Impact on Global Health Outcomes (AIM HIGH) and large Heart Protection Study 2: Treatment of HDL to Reduce the Incidence of Vascular Events  (HPS THRIVE 2)] have not shown additional event reduction in well-treated patients with stable CHD related to adding niacin to a statin or statin/ezetimibe regimen [2,3]. To say the results of those studies were a shock to the lipidology community is an understatement. AIM HIGH (all of the patients had low HDL-C at baseline) was published first and for those who believed niacin’s benefit was related to raising HDL-C, the results were a punch to the jaw. Despite a substantial (25%) HDL-C increase (remember the old well accepted but never proven caveat that for every 1% rise in HDL-C there is a 3% event reduction) there was no CV outcome improvement. The usual side effects associated with niacin were present including a questionable nonsignificant rise in ischemic stroke. Then along came the still not published HPS THRIVE 2 (baseline HDL-C was not an enrollment criteria) where again the addition of niacin to a statin or statin/ezetimibe regimen provided no additional outcome benefit. Common to both AIM HIGH and HPS THRIVE 2 was the fact that the lifestyle with statin or statin/ezetimibe had normalized LDL-C, non-HDL-C and apoB. Thus niacin was being added to patients who were at those goals (keeping in mind that there is no NCEP ATP-III goal for HDL-C). Should we really have expected niacin, whose primary mechanism of action is to lower apoB (or its lipid surrogates) to do anything to CV events in persons with normal apoB?  The answer is yes if raising HDL-C or lowering Lp(a) mass is critical to event reduction (well accepted concepts that have never ever been proven in any type of trial). Well we may have those answers now and at this point one has to reasonably conclude the evidence is strong that in patients on LDL-receptor inducing drugs (statins or statin + ezetimibe) raising HDL-C (note – niacin also raises apoA-I, but not apoA-II or total HDL-P) [4] or reducing Lp(a) mass with niacin provides no benefit in folks who are at apoB (LDL-C, non-HDL-C) goal.
 
In AIM HIGH baseline apoB and apoA-I levels were low and baseline Lp(a) was elevated at 33.8 nmol/L [using Caucasian adult data from Framingham as a comparator, Lp(a) averaged 20 nmol/L]. Nearly 30% of AIM HIGH patients had severe Lp(a) elevations > 100 nmol/L compared to 20% of Framingham cohort. The addition of niacin to statin or statin + ezetimibe raised HDL-C by 25%, apoA-I by 7% and reduced LDL-C by 12%, TG by 30% and apoB by 13%. [5]
 
Lp(a) as expected was significantly associated with CV events despite the fact that LDL-C was at goal and thus elevated Lp(a) is associated with residual risk. A one standard deviation of Lp(a) was associated with a 21% increase in CV risk. There was a 21% overall reduction [but with a 20%, 39% and incredible 64% decreases in patients at the 50th, 75th and 90th percentile cut points] in Lp(a) in the niacin group compared to 6% in placebo group. So the higher the Lp(a) level, the more dramatic was niacin’s ability to lower it.  Here is the shocker: there was no difference in event rate between those on or not on niacin (remember all were statin or statin + ezetimibe) DESPITE GREATER DECREASES in Lp(a) for those using niacin. Even in those in the highest Lp(a) quartile (> 125 nmol/L) there was no reduction in events when niacin was added.
 
So where do we stand with niacin? There is no level one evidence anywhere supporting the use of niacin to reduce clinical events: The Coronary Drug Project (CDP) is often quoted as proof of niacin’s efficacy but few realize that niacin monotherapy (high dose of immediate release preparation) had no impact on the primary endpoint of the study (mortality): thus the benefit of reducing non-fatal myocardial infarction (a secondary endpoint) makes this benefit hypothesis generating [6].Of course there is the famous 15 year follow up of CDP which encompassed 6 years of the trial where niacin was used and then a subsequent 9 year period off niacin. Mortality was significantly reduced in that post hoc analysis (data derived not from examination or in person review but questionnaires sent to participants): this is the weakest data imaginable [7]. So this supposedly late benefit of niacin is in fact analysis of post hoc follow data up from a trial where niacin failed to reduce the primary endpoint. If niacin was a new drug, it would have no prayer of gaining FDA approval based on the CDP. Several subsequent trials using angiographic or CIMT endpoints showed niacin monotherapy or combination with bile acid sequestrants or statins showed imaging benefit. One small (~500 patients) open-label outcome trial (Stockholm Ischemic Heart Disease Secondary Prevention Trial), combining clofibrate and IR niacin did reduce clinical events with statistical significance [8].
 
In my opinion niacin became a major lipid drug because of its ability to raise HDL-C and to lower Lp(a) and not for what is likely its real mechanism of action, namely lowering LDL-C and apoB and LDL-P. After extended-release niacin (Niaspan) hit the market, it was also heavily promoted because of its ability to increase both HDL and LDL size. KOS made a fortune by promulgating those messages as it seemingly made so much sense. Of course over time, we have learned that influencing LDL or HDL particle size or raising HDL-C and apoA-I has no effect on outcomes. Looking at lipid/lipoprotein risk factors in 2013 the outcome evidence only supports lowering apoB (LDL-P) or perhaps raising total HDL-P. At this time unfortunately, there is no support for reducing Lp(a) with niacin: admittedly the Lp(a) data from the much larger HPS THRIVE 2 study of 25,000 patients is pending.  
 
So is niacin a dead drug? Here are my thoughts as a clinical lipidologist: We must get apoB (LDL-P) to goal in all at-risk patients. Lifestyle therapies and statins are the mainstay of therapy. However residual risk is high if apoB (LDL) remains elevated despite at-goal LDL-C, non-HDL-C), any level of HDL-C or if Lp(a) mass is elevated. So I would have no hesitancy in adding niacin to high and very high risk patients who have not achieved apoB (LDL-P) goals with whatever therapies they are using or using niacin as a monotherapy in those intolerant of other apoB lowering meds. Data from HPS THRIVE 2 (discussed in a recent commentary [ADD LINK]) suggested statin plus ezetimibe was better at event reduction than statin plus niacin [9]. In view of that and the very significant side effects reported in HPS THRIVE 2 [bleeding (GI, intracranial, other) in the niacin group: 326 (2.5%) to 238 (1.9%) and infection 1031(8%) to 853 (6.6%)] [3] makes niacin a tertiary or quaternary add-on drug (some may prefer the bile acid sequestrant colesevelam as an apoB lowering medication).
 
What about our patients with elevated Lp(a) mass or Lp(a)-P? The only therapy that has so far shown an inkling of success is LDL apheresis. For now we should all try to lower apoB (LDL-P as aggressively as possible and that often requires multiple combination therapies. What about future drugs: just published is the  data the PCSK9 monoclonal antibody AMG 145 reduces Lp(a) by 32% in patients on statins [10]. There is also promising data that the remaining CETP inhibitors also reduce Lp(a) but the reality is that until such reductions by these drugs are linked to outcome benefit they are of hypothetical interest. Hopefully in the future there will also be development of an apoprotein (a) antisense oligonucleotide inhibitor. 

 
References:
[2] The AIM-HIGH Investigators Niacin in Patients with Low HDL Cholesterol Levels Receiving Intensive Statin Therapy. N Engl J Med 2011;365:2255-67.
[3] Presentation by Jane Armitage on behalf of the HPS2 THRIVE group to the National Lipid Association Annual Scientific sessions, Las Vegas NV June 2013.
[6] Coronary Drug project group. Clofibrate and Niacin in Coronary Heart Disease. JAMA 1975;231:360-381.
[7] Fifteen Year Mortality in Coronary Drug Project Patients: Long Term Benefit with Niacin. JACC 1986;8:1245-55.
[8] Reduction of Mortality in the Stockholm Ischaemic Heart Disease Secondary prevention Study by Combined Treatment with Clofibrate and Nicotinic Acid. Acta Med Scand 1988;223:405-418.[9] Masana, A. Cabré, N. Plana. HPS2-THRIVE results: Bad for niacin/laropiprant, good for ezetimibe? Atherosclerosis 2013;229:449-450.
=================================================================================================
Read the complete article here.

Friday, May 31, 2013

Association of Apolipoprotein B and NMR Spectroscopy–Derived LDL Particle Number with Outcomes

Association of Apolipoprotein B and Nuclear Magnetic Resonance Spectroscopy–Derived LDL Particle Number with Outcomes in 25 Clinical Studies              

  1. G. Russell Warnick4
                    
Abstract
 
BACKGROUND: The number of circulating LDL particles is a strong indicator of future cardiovascular disease (CVD) events, even superior to the concentration of LDL cholesterol. Atherogenic (primarily LDL) particle number is typically determined either directly by the serum concentration of apolipoprotein B (apo B) or indirectly by nuclear magnetic resonance (NMR) spectroscopy of serum to obtain NMR-derived LDL particle number (LDL-P).
                    
CONTENT: To assess the comparability of apo B and LDL-P, we reviewed 25 clinical studies containing 85 outcomes for which both biomarkers were determined. In 21 of 25 (84.0%) studies, both apo B and LDL-P were significant for at least 1 outcome. Neither was significant for any outcome in only 1 study (4.0%). In 50 of 85 comparisons (58.8%), both apo B and LDL-P had statistically significant associations with the clinical outcome, whereas in 17 comparisons (20.0%) neither was significantly associated with the outcome. In 18 comparisons (21.1%) there was discordance between apo B and LDL-P.
                    
CONCLUSIONS: In most studies, both apo B and LDL-P were comparable in association with clinical outcomes. The biomarkers were nearly equivalent in their ability to assess risk for CVD and both have consistently been shown to be stronger risk factors than LDL-C. We support the adoption of apo B and/or LDL-P as indicators of atherogenic particle numbers into CVD risk screening and treatment guidelines. Currently, in the opinion of this Working Group on Best Practices, apo B appears to be the preferable biomarker for guideline adoption because of its availability, scalability, standardization, and relatively low cost.
==================================================================
Read the complete article here.

Friday, May 3, 2013

What Causes Elevated LDL Particle Number? - Kresser

What Causes Elevated LDL Particle Number?

By on May 3, 2013
In the last article in this series, I explained that LDL particle number (LDL-P) is a much more accurate predictor of cardiovascular disease risk than either LDL or total cholesterol. In this article, I’m going to briefly outline the five primary causes of elevated LDL-P.

Conventional medicine is primarily focused on suppressing symptoms. If your blood pressure is high, you take a medication to lower it. If your blood sugar is high, you take a medication to lower it. If your cholesterol is high, you take a medication to lower it. In most cases there is rarely any investigation into why these markers are high in the first place, with the possible exception of some basic (but often incorrect) counseling on diet and exercise.

On the other hand, functional medicine—which is what I practice—focuses on treating the underlying cause of health problems instead of just suppressing symptoms. If your blood sugar, blood pressure or cholesterol are high, the first question a functional medicine practitioner will ask is “why?” If we can identify the root cause of the problem, and address it at that level, medication is often unnecessary.

To use a simple analogy, if you have weeds in your garden, what happens if you just cut the weeds from the top? They grow right back—and sometimes faster than before! If you really want to get rid of them once and for all, you have to pull them up by their roots.

With this in mind, let’s look at some of the potential causes of elevated LDL particle number. If your LDL-P is high, it makes sense to test for and treat any of the conditions below (with the exception of the last, which is genetic and thus can’t be treated) before—or at least along with—taking pharmaceutical drugs.

Insulin resistance and metabolic syndrome

LDL particles don’t just carry cholesterol; they also carry triglycerides, fat-soluble vitamins and antioxidants. You can think of LDL as a taxi service that delivers important nutrients to the cells and tissues of the body.

As you might expect, there’s a limit to how much “stuff” that each LDL particle can carry. Each LDL particle has a certain number of cholesterol molecules and a certain number of triglycerides. As the number of triglycerides increases, the amount of cholesterol it can carry decreases, and the liver will have to make more LDL particles to carry a given amount of cholesterol around the body. This person will end up with a higher number of LDL particles.

Consider two hypothetical people. Both have an LDL cholesterol level of 130 mg/dL, but one has high triglycerides and the other has low triglycerides. The one with the high triglyceride level will need more LDL particles to transport that same amount of cholesterol around the body than the one with a low triglyceride level.

Numerous studies have found an association between increased LDL particle number, and metabolic syndrome. One study measured ApoB, a marker for LDL particle number, in a group of 1,400 young Finns with no established disease. The participants with the highest LDL particle number were 2.8 times more likely to have metabolic syndrome than those with the lowest levels of LDL-P. (1) A much larger study of over 300,000 men also found a strong association between LDL-P and metabolic syndrome and its components (i.e. insulin resistance, abdominal obesity, high blood pressure, etc.). (2)

Poor thyroid function

Poor thyroid function is another potential cause of elevated particle number. Thyroid hormone has multiple effects on the regulation of lipid production, absorption, and metabolism. It stimulates the expression of HMG-CoA reductase, which is an enzyme in the liver involved in the production of cholesterol. (As a side note, one way that statins work is by inhibiting the HMG-CoA reductase enzyme.) Thyroid hormone also increases the expression of LDL receptors on the surface of cells in the liver and in other tissues. In hypothyroidism, the number of receptors for LDL on cells will be decreased. This leads to reduced clearance of LDL from the blood and thus higher LDL levels. Hypothyroidism may also lead to higher cholesterol by acting on Niemann-Pick C1-like 1 protein, which plays a critical role in the intestinal absorption of cholesterol. (3, 4)

Studies show that LDL particle number is higher even in subclinical hypothyroidism (high TSH with normal T4 and T3), and that LDL particle number will decrease after treatment with thyroid hormone. (5)

Infections

Another cause of high cholesterol profile is infection. Multiple studies have shown associations between bacterial infections like Chlamydia pneumoniae and H. pylori, which is the bacterium causes duodenal ulcers, and viral infections like herpes and cytomegalovirus and elevated lipids. (6) For example, H. pylori leads to elevated levels of total cholesterol, LDL cholesterol, lipoprotein (a), ApoB or LDL particle number, and triglyceride concentrations as well as decreased levels of HDL. (7)

Several mechanisms have been proposed to explain the association between infections and elevated blood lipids. Some evidence suggests that viral and bacterial infections directly alter the lipid metabolism of infected cells, and other evidence suggests that lipids increase as a result of the body’s attempt to fight off infection. Other evidence suggests that LDL has antimicrobial properties and is directly involved in inactivating microbial pathogens. This has been confirmed by studies showing that mice with defective LDL receptors—and thus very high levels of LDL—are protected against infection by gram-negative bacteria like H. pylori. (8)

Leaky gut

One of the primary functions of the intestinal barrier is to make sure that stuff that belongs in the gut stays in the gut. When this barrier fails, endotoxins such as lipopolysaccharide (LPS) produced by certain species of gut bacteria can enter the bloodstream and provoke an immune response. Part of that immune response involves LDL particles, which as I mentioned above, have an anti-microbial effect. A protein called LPS-binding protein, which circulates with LDL particles, has been shown to reduce the toxic properties of LPS by directly binding to it and removing it from the circulation. (9) Studies have also shown significant increases in LPS-binding protein (and thus LDL particles) in cases of endotoxemia—a condition caused by large amounts of circulating endotoxins. (10)

Though more research is needed in this area, the studies above suggest that a leaky gut could increase the level of LPS and other endotoxins in the blood, and thus increase LDL particle number as a result. I have seen this in my practice. I recently had a patient with high LDL-P and no other risk factors. I tested his gut and discovered H. pylori and small intestine bacterial overgrowth (SIBO). After treating his gut, his LDL-P came down to normal levels.

Genetics

The final cause of elevated LDL-P is genetics. Familial hypercholesterolemia, or FH, involves a mutation of a gene that codes for the LDL receptor or the gene that codes for apolipoprotein B (ApoB). The LDL receptor sits on the outside of cells; the LDL particle has to attach to the LDL receptor in order to deliver the nutrients it’s carrying and be removed from the circulation. ApoB is the part of the LDL particle that binds to the receptor. If we use a door lock as an analogy, apolipoprotein B would be the key, and the LDL receptor is the lock. They both need to be working properly for LDL to deliver its cargo and to be removed from the bloodstream.

Homozygous carriers of FH have two copies of the mutated gene. This condition is very rare. It affects approximately 1 in a million people. And people that are homozygous for this mutation have extremely high total cholesterol levels, often as high as 1000 mg/dL. And unfortunately they usually die from severe atherosclerosis and heart disease before the age of 25.

Heterozygous carriers, however, only have a single copy of the mutated gene, and the other copy is functioning normally. This is much more common. The prevalence is between 1 in 300 to 1 in 500 people, depending on which study you look at. These heterozygous carriers of FH have total cholesterol levels that often range between 350 and 550 mg/dL, along with very high LDL particle number. They have about three times higher risk of death from heart disease than people without FH if it goes untreated.

It’s important to note that people with FH have primarily large, buoyant LDL particles, and yet are still at much higher risk for cardiovascular disease. While it’s true that small, dense, oxidized LDL particles are more likely to cause atherosclerosis, large, buoyant particles can also be harmful when their concentration is high enough. This is one reason why LDL particle number is a superior marker to LDL particle size.

In the next article in this series, I will debunk the myth that statins extend lifespan in healthy people with no pre-existing heart disease.
=================================================================
Read the complete article here.

Monday, March 25, 2013

LDL-P should be considered as a primary goal of therapy due to its stronger association with cardiovascular risk.

Cardiovascular Disease

Visit our website Lipoprotein Perspectives
Atherosclerosis is the condition in which the artery wall thickens as the result of the buildup of fatty material such as cholesterol. Management of atherosclerosis is an integral part of clinical practice.

Historically, clinicians manage a patient's risk for cardiovascular disease by measuring plasma lipids such as LDL-C, HDL-C and triglycerides. More recently, it's been shown that measurement of lipoprotein particles, the containers that carry cholesterol, may be beneficial for patient management.
Among cardiometabolic risk (CMR) patients, about two-thirds have high Low Density Lipoprotein particle number (LDL-P) despite optimal levels of LDL-C. For cardiometabolic risk patients, LDL-P should be considered as a primary goal of therapy due to its stronger association with cardiovascular risk.1

Manage your patients with clarity and confidence with LDL-P by NMR.
1. Rosenson et al. Atherosclerosis. 2010; 213:1-7

===========================================================================================
Read the full article here.

Monday, March 11, 2013

Lipoprotein Particles Linkd to Cardiovascular Disease Risk

March 11, 2013

New Data Further Links Lipoprotein Particles to Cardiovascular Disease Risk

Findings Presented at the ACC Annual Scientific Sessions
RALEIGH, N.C.--(BUSINESS WIRE)-- LipoScience, Inc. (NASDAQ: LPDX) an in vitro diagnostic company committed to advancing patient care in cardiovascular, metabolic and other diseases, today announced the presentation of data from two studies, at the Annual Scientific Session of the American College of Cardiology (ACC) in San Francisco, highlighting the importance of low density lipoprotein particle (LDL-P) measurements in identifying cardiovascular disease risk for patients.
Previous studies have indicated that many patients with relatively normal levels of low density lipoprotein cholesterol (LDL-C) have increased LDL-P, illustrating discordance between the two measures of LDL. The medical community is increasingly aware of the critical role utilizing LDL-P as measured by nuclear magnetic resonance (NMR) spectroscopy to help manage a patient's cardiovascular disease risk. The data presented at ACC further validates the need for increased awareness of LDL-P as an indicator of cardiovascular disease, and the value of NMR as a differentiated platform technology.
  
Discordance in Low-Density Lipoprotein Particle Number (LDL-P) and Apolipoprotein B (Apo B) Level

On Saturday, March 9, Dr. Pamela Morris, M.D., FACC of the Medical University of South Carolina, presented data from the study "Discordance in Low-Density Lipoprotein Particle Number (LDL-P) and Apolipoprotein B (Apo B) Level" highlighting the relationship between these two biomarkers in assessing cardiovascular risk. The study examined the Apo B and LDL-P values of 1,196 subjects. Ultimately, it was found that a considerable percentage of patients had much higher LDL-P levels despite attaining normal levels of Apo B.
  
"In some cases, LDL cholesterol and LDL particle numbers do not agree, leaving seemingly healthy patients with hidden risk for cardiovascular events," said Dr. Morris, an author of this study. "The data presented shows that the same is true for Apo B and LDL-P. Discordance is a potential concern amongst these biomarkers, illuminating the need for a complete picture of heart health. Physicians should not rely solely on one diagnostic measure—it is necessary to examine both LDL-C and LDL-P to manage patient care."
  
NMR-Based Lipoprotein Particle Profiling Identifies Novel Signatures for Cardiovascular Disease

Another presentation, "NMR-Based Lipoprotein Particle Profiling Identifies Novel Signatures for Cardiovascular Disease," explored the associations of LDL-P with cross sectional coronary artery disease (CAD) and CAD severity, and the potential as a predictor of incident cardiovascular events. The study analyzed plasma from 1,736 patients who were enrolled in the CATHGEN biorepository of patients undergoing cardiac catheterization at Duke University Medical Center. The study found novel lipoprotein signatures that independently discriminate the presence and extent of CAD and predict incident mortality and myocardial infarction.
  
"This study contributes to the growing body of research linking lipoprotein particle number to increased risk for cardiovascular disease," said William E. Kraus, M.D., Professor of Cardiology at Duke University, and an author of the study. "By analyzing LDL-P by NMR spectroscopy, we were able to determine that lipoprotein size and concentration are novel biomarkers for CAD discrimination and mortality prediction."
  
LDL-P was measured in both studies using LipoScience's NMR LipoProfile®test, a laboratory test that utilizes NMR spectroscopy to measure LDL particle number and standard lipid values. LDL-P information can help clinicians personalize and refine LDL management decisions, particularly to minimize residual risk in patients with low LDL cholesterol levels.
  
LipoScience ACC Poster Presentations Details:
  • Discordance in Low-Density Lipoprotein Particle Number (LDL-P) and Apolipoprotein B (Apo B) Level
    Date: Saturday, March 9, 2013
    Time: 3:45 p.m.-4:30 p.m.
    Location: Poster Sessions, Expo North
  • NMR-Based Lipoprotein Particle Profiling Identifies Novel Signatures for Cardiovascular Disease
    Date: Monday, March 11, 2013
    Time: 9:45 a.m.-10:30 a.m.
    Location: Poster Sessions, Expo North
For more information on LipoScience, please visit www.liposcience.com or the LipoScience, Inc. booth at #S943.
  
About LipoScience, Inc.

LipoScience, Inc. is pioneering a new field of personalized diagnostics based on nuclear magnetic resonance (NMR) technology. Its first proprietary diagnostic test, the NMR LipoProfile®test, measures the number of low density lipoprotein particles (LDL-P) in a blood sample and provides physicians and their patients with actionable information to personalize management of risk for heart disease. To date, over 9 million NMR LipoProfile tests have been ordered. LipoScience's automated clinical analyzer Vantera®, has been cleared by the FDA. It requires no previous knowledge of NMR technology to operate and has been designed to dramatically simplify complex technology through ease of use and walk away automation. The Vantera system will be placed with national and regional clinical laboratories.
LipoScience is driving toward becoming a clinical standard of care by decentralizing its technology and expanding its menu of personalized diagnostic tests to address a broad range of cardiovascular, metabolic and other diseases. For further information on LipoScience, please visit www.liposcience.com and www.theparticletest.com.
========================================================
Read the complete article here.

Thursday, July 12, 2012

The straight dope on cholesterol – Part IX - Attia

The straight dope on cholesterol – Part IX

The straight dope on cholesterol – Part IX
 
Previously, across 8 parts of this series we’ve laid the groundwork to ask perhaps the most important question of all:
What should you eat to have the greatest chance of delaying the arrival of cardiovascular disease?
Before we get there, since this series has been longer and more detailed than any of us may have wanted, it is probably worth reviewing the summary points from the previous posts in this series (or you can just skip this and jump to the meat of this post).

What we’ve learned so far

  1. Cholesterol is “just” another fancy organic molecule in our body but with an interesting distinction: we eat it, we make it, we store it, and we excrete it – all in different amounts.
  2. The pool of cholesterol in our body is essential for life. No cholesterol = no life.
  3. Cholesterol exists in 2 formsunesterified or “free” (UC) and esterified (CE) – and the form determines if we can absorb it or not, or store it or not (among other things).
  4. Much of the cholesterol we eat is in the form of CE. It is not absorbed and is excreted by our gut (i.e., leaves our body in stool). The reason this occurs is that CE not only has to be de-esterified, but it competes for absorption with the vastly larger amounts of UC supplied by the biliary route.
  5. Re-absorption of the cholesterol we synthesize in our body (i.e., endogenous produced cholesterol) is the dominant source of the cholesterol in our body. That is, most of the cholesterol in our body was made by our body.
  6. The process of regulating cholesterol is very complex and multifaceted with multiple layers of control. I’ve only touched on the absorption side, but the synthesis side is also complex and highly regulated. You will discover that synthesis and absorption are very interrelated.
  7. Eating cholesterol has very little impact on the cholesterol levels in your body. This is a fact, not my opinion. Anyone who tells you different is, at best, ignorant of this topic. At worst, they are a deliberate charlatan. Years ago the Canadian Guidelines removed the limitation of dietary cholesterol. The rest of the world, especially the United States, needs to catch up. To see an important reference on this topic, please look here.
  8. Cholesterol and triglycerides are not soluble in plasma (i.e., they can’t dissolve in water) and are therefore said to be hydrophobic.
  9. To be carried anywhere in our body, say from your liver to your coronary artery, they need to be carried by a special protein-wrapped transport vessel called a lipoprotein.
  10. As these “ships” called lipoproteins leave the liver they undergo a process of maturation where they shed much of their triglyceride “cargo” in the form of free fatty acid, and doing so makes them smaller and richer in cholesterol.
  11. Special proteins, apoproteins, play an important role in moving lipoproteins around the body and facilitating their interactions with other cells. The most important of these are the apoB class, residing on VLDL, IDL, and LDL particles, and the apoA-I class, residing for the most part on the HDL particles.
  12. Cholesterol transport in plasma occurs in both directions, from the liver and small intestine towards the periphery and back to the liver and small intestine (the “gut”).
  13. The major function of the apoB-containing particles is to traffic energy (triglycerides) to muscles and phospholipids to all cells. Their cholesterol is trafficked back to the liver. The apoA-I containing particles traffic cholesterol to steroidogenic tissues, adipocytes (a storage organ for cholesterol ester) and ultimately back to the liver, gut, or steroidogenic tissue.
  14. All lipoproteins are part of the human lipid transportation system and work harmoniously together to efficiently traffic lipids. As you are probably starting to appreciate, the trafficking pattern is highly complex and the lipoproteins constantly exchange their core and surface lipids.
  15. The measurement of cholesterol has undergone a dramatic evolution over the past 70 years with technology at the heart of the advance.
  16. Currently, most people in the United States (and the world for that matter) undergo a “standard” lipid panel, which only directly measures TC, TG, and HDL-C. LDL-C is measured or most often estimated.
  17. More advanced cholesterol measuring tests do exist to directly measure LDL-C (though none are standardized), along with the cholesterol content of other lipoproteins (e.g., VLDL, IDL) or lipoprotein subparticles.
  18. The most frequently used and guideline-recommended test that can count the number of LDL particles is either apolipoprotein B or LDL-P NMR, which is part of the NMR LipoProfile. NMR can also measure the size of LDL and other lipoprotein particles, which is valuable for predicting insulin resistance in drug naïve patients, before changes are noted in glucose or insulin levels.
  19. The progression from a completely normal artery to a “clogged” or atherosclerotic one follows a very clear path: an apoB containing particle gets past the endothelial layer into the subendothelial space, the particle and its cholesterol content is retained, immune cells arrive, an inflammatory response ensues “fixing” the apoB containing particles in place AND making more space for more of them.
  20. While inflammation plays a key role in this process, it’s the penetration of the endothelium and retention within the endothelium that drive the process.
  21. The most common apoB containing lipoprotein in this process is certainly the LDL particle. However, Lp(a) and apoB containing lipoproteins play a role also, especially in the insulin resistant person.
  22. If you want to stop atherosclerosis, you must lower the LDL particle number. Period.
  23. At first glance it would seem that patients with smaller LDL particles are at greater risk for atherosclerosis than patients with large LDL particles, all things equal.
  24. “A particle is a particle is a particle.” If you don’t know the number, you don’t know the risk.
  25. With respect to laboratory medicine, two markers that have a high correlation with a given outcome are concordant – they equally predict the same outcome. However, when the two tests do not correlate with each other they are said to be discordant.
  26. LDL-P (or apoB) is the best predictor of adverse cardiac events, which has been documented repeatedly in every major cardiovascular risk study.
  27. LDL-C is only a good predictor of adverse cardiac events when it is concordant with LDL-P; otherwise it is a poor predictor of risk.
  28. There is no way of determining which individual patient may have discordant LDL-C and LDL-P without measuring both markers.
  29. Discordance between LDL-C and LDL-P is even greater in populations with metabolic syndrome, including patients with diabetes. Given the ubiquity of these conditions in the U.S. population, and the special risk such patients carry for cardiovascular disease, it is difficult to justify use of LDL-C, HDL-C, and TG alone for risk stratification in all but the most select patients.
  30. To address this question, however, one must look at changes in cardiovascular events or direct markers of atherosclerosis (e.g., IMT) while holding LDL-P constant and then again holding LDL size constant. Only when you do this can you see that the relationship between size and event vanishes. The only thing that matters is the number of LDL particles – large, small, or mixed.
  31. HDL-C and HDL-P are not measuring the same thing, just as LDL-C and LDL-P are not.
  32. Secondary to the total HDL-P, all things equal it seems smaller HDL particles are more protective than large ones.
  33. As HDL-C levels rise, most often it is driven by a disproportionate rise in HDL size, not HDL-P.
  34. In the trials which were designed to prove that a drug that raised HDL-C would provide a reduction in cardiovascular events, no benefit occurred: estrogen studies (HERS, WHI), fibrate studies (FIELD, ACCORD), niacin studies, and CETP inhibition studies (dalcetrapib and torcetrapib). But, this says nothing of what happens when you raise HDL-P.
  35. Don’t believe the hype: HDL is important, and more HDL particles are better than few. But, raising HDL-C with a drug isn’t going to fix the problem. Making this even more complex is that HDL functionality is likely as important, or even more important, than HDL-P, but no such tests exist to “measure” this.

Did you say “delay?”

That’s right. The question posed above did not ask how one could “prevent” or eliminate the risk cardiovascular disease, it asked how one could “delay” it. There is a difference. To appreciate this distinction, it’s worth reading this recent publication by Allan Sniderman and colleagues. Allan sent me a copy of this paper ahead of publication a few months ago in response to a question I had posed to him over lunch one day. I asked,
“Allan, who has a greater 5-year risk for cardiovascular disease, a 25 year-old with a LDL-P/apoB in the 99th percentile or a 75-year-old with a LDL-P/apoB in the 5th percentile?”
The paper Allan wrote is noteworthy for at least 2 reasons:
  1. It’s an excellent reminder that age is a paramount risk factor for cardiovascular disease.
  2. It provides a much better (causal) model for atherosclerosis than the typical age-driven models, and explains why age is an important risk factor.
What do I mean by this? Most risk calculators (e.g., Framingham) take their inputs (e.g., age, gender, LDL-C, HDL-C, smoking, diabetes, blood pressure) and calculate a 10-year risk score. If you’ve ever played with these models you’ll quickly see that age drives risk more than any other input. But why? Is there something inherently “risky” about being older?
Sniderman and many others would argue (and I agree) that the reason age is a strong predictor of risk has to do with exposure to apoB particles — LDL, Lp(a), and apoB-carrying remnants. Maybe it’s because I’m a math geek, but such models just seem intuitive to me because I think of most things in life in terms of calculus, especially integrals, the “area under a curve.”
[I once tried to explain to a girlfriend who thought I wasn’t spending enough time with her that my interest in her should be thought of in terms of the area under the curve, rather than any single point in time. That is, think in terms of the integral function, not the point-in-time function. Needless to say, she broke up with me on the spot (in the middle of a parking lot!), despite me drawing a very cool picture illustrating the difference, which I’ve re-created, below.]
Integral
The reason age is such a big driver of risk is that the longer your artery walls are exposed to the insult of apoB particles, the more likely they are to be damaged, for all the reasons we covered in Part IV of this series. [This paper also reviews the clinical situation of PCSK9 mutations which builds a very compelling case for the causal model of apoB particles in the development of atherosclerosis].

What does eating have to do with cardiovascular risk?

So now that everyone is on the edge of their seat in anticipation of this punch-line, let me provide two important caveats.
First, there are no long-term studies – either in primary or secondary prevention – examining the exact question we all want to know the answer to with respect to the role of dietary intervention on cardiovascular disease. There are short-term studies, some of which I will highlight, which look at proxies for cardiovascular disease, but all of the long-term studies (looking at secondary prevention), are either drug studies or multiple intervention studies (e.g., cholesterol-lowering drug(s) + blood pressure reducing drug(s) + dietary intervention + exercise + …).
In other words, the “dream” study has not been done and won’t be done for a long time. The “dream” study would follow 2 randomized groups for many years and only make one change between the groups. Group 1 would consume a standard American diet and group 2 would consume a very-low carbohydrate diet. Furthermore, compliance within each group would be excellent (many ways to ensure this, but none of them are inexpensive – part of why this has not been done) and the study would be powered to detect “hard outcomes” (e.g., death), instead of just “soft outcomes” (e.g., changes in apoB, LDL-C, LDL-P, TG).
Second, everything we have learned to date on the risk relationship between cardiovascular disease and risk markers is predicated on the assumption that a risk maker of level X in a person on diet A is the same as it would be for a person on diet B.
Since virtually all of the thousands of subjects who have made up the dozens of studies that form the basis for our understanding on this topic were consuming some variant of the “standard American diet” (i.e., high-carb), it is quite possible that what we know about risk stratification is that this population is not entirely fit for extrapolation to a population on a radically different diet (e.g., a very-low carbohydrate diet or a ketogenic diet). Many of you have asked about this, and my comments have always been the same. It is entirely plausible that an elevated level of LDL-P or apoB in someone consuming a high-carb diet portends a greater risk than someone on a ketogenic or low-carb diet. There are many reasons why this might be the case, and there are many folks who have made compelling arguments for this hypothesis.

But we can’t forget the words of Thomas Henry Huxley, who said, “The great tragedy of science is the slaying of a beautiful hypothesis by an ugly fact.” Science is full of beautiful hypothesis slayed by ugly facts. Only time will tell if this hypothesis ends up in that same graveyard, or changes the way we think about lipoproteins and atherosclerosis.

The role of sugar in cardiovascular disease

Let’s start with what we know, then fill in the connections, with the goal of creating an eating strategy for those most interested in delaying the onset of cardiovascular disease.

There are several short-term studies that have carefully examined the impact of sugar, specifically, on cardiovascular risk markers. Let’s examine one of them closely. In 2011 Peter Havel and colleagues published a study titled Consumption of fructose and HFCS increases postprandial triglycerides, LDL-C, and apoB in young men and women. If you don’t have access to this journal, you can read the study here in pre-publication form. This was a randomized trial with 3 parallel arms (no cross-over). The 3 groups consumed an isocaloric diet (to individual baseline characteristics) consisting of 55% carbohydrate, 15% protein, and 30% fat. The difference between the 3 groups was in the form of their carbohydrates.
Group 1: received 25% of their total energy in the form of glucose
Group 2: received 25% of their total energy in the form of fructose
Group 3: received 25% of their total energy in the form of high fructose corn syrup (55% fructose, 45% glucose)
The intervention was relatively short, consisting of both an inpatient and outpatient period, and is described in the methodology section.

Keep in mind, 25% of total energy in the form of sugar is not as extreme as you might think. For a person consuming 2,400 kcal/day this amounts to about 120 pounds/year of sugar, which is slightly below the average consumption of annual sugar in the United States. In that sense, the subjects in Group 3 can be viewed as the “control” for the U.S. population, and Group 1 can be viewed as an intervention group for what happens when you do nothing more in your diet than remove sugar, which was the first dietary intervention I made in 2009.

Despite the short duration of this study and the relatively small number of subjects (16 per group), the differences brought on by the interventions were significant. The figure below shows the changes in serum triglycerides via 3 different ways of measuring them. Figure A shows the difference in 24-hour total levels (i.e., the area under the curve for serial measurements – hey, there’s our integral function again!). Figure B shows late evening (post-prandial) differences. Figure C shows the overall change in fasting triglyceride level from baseline (where sugar intake was limited for 2 weeks and carbohydrate consumption consisted only of complex carbohydrates).
impact on TG
The differences were striking. The group that had all fructose and HFCS removed from their diet, despite still ingesting 55% of their total intake in the form of non-sugar carbohydrates, experienced a decline in total TG (Figure A, which represents the daily integral of plasma TG levels, or AUC). However, that same group experienced the greatest increase in fasting TG levels (Figure C). Post-prandial TG levels were elevated in all groups, but significantly higher in the fructose and HFCS groups (Figure B). The question this begs, of course, is which of these measurements is most predictive of risk?

Historically, fasting levels of TG are used as the basis of risk profiling (Figure C), and according to this metric glucose consumption appears even worse than fructose or HFCS. However, recent evidence suggests that post-prandial levels of TG (Figure B) are a more accurate way to assess atherosclerotic risk, as seen here, here, and here. One question I have is why did the AUC calculations in Figure A show a reduction in plasma TG level for the glucose group?
The figure below summarizes the differences in LDL-C, non-HDL-C, apoB, and apoB/apoA-I.
impact on lipoproteins
Again, the results were unmistakable with respect to the impact of fructose and HFCS on lipoproteins, and by extension, the relative lack of harm brought on by glucose in isolation. [Of course, removal of glucose and fructose/HFCS would have been a very interesting control group.]
One of the simultaneous strengths and weaknesses of this study was the heterogeneity of its subjects, who ranged in BMI from 18 to 35, in age from18 to 40, and in gender. While this provided at least one interesting example of age-related differences in carbohydrate metabolism (older subjects had a greater increase in triglycerides in response to glucose than younger subjects), it may have actually diluted the results. There were also significant differences between genders in the glucose group.
What was most interesting about this study was the clear difference between the 3 groups that was not solely a function of fructose load. In other words, the best outcome from a disease risk standpoint was in the glucose group, while the worst outcome was not in the all-fructose group, but in the 50/50 (technically 55/45) mixed group. This is a very powerful indication that while glucose and fructose alone can be deleterious in excess, their combination seems synergistically bad.

The role of saturated fat in cardiovascular disease

In the next week or two I’ll be posting an hour-long comprehensive lecture I gave at UCSD a few weeks ago on this exact topic. Rather than repeat any of it here, I’ll highlight one study that I did not include in that lecture. The study, Effect of a high saturated fat and no-starch diet on serum lipid subfractions in patients with documented atherosclerotic cardiovascular disease, published in 2003, treated 23 obese patients (average BMI 39) with known cardiovascular disease (status post coronary artery bypass surgery and/or stent placement) with a high-fat ketogenic diet. Because the study was free-living and relied on self-reporting, not all subjects had documented levels of elevated serum B-OHB. However, the subjects were instructed to avoid starch and consume 50% of their caloric intake via saturated fat, primarily in the form of red meat and cheese. There were no restrictions on fruits and vegetables, which may have accounted for the observation that not all subjects were ketotic during the 6-week intervention. In total, only 5 of the 23 patients achieved documented ketosis.
All of the subjects were on statins and entered the study at a goal LDL-C level target of 100 mg/dL, which may have been the only way the authors could get the IRB to approve such a study.
The table below shows the changes in lipoprotein fractions following the intervention (there was no control group):
Table 2
This study was conducted during the height of the “outcry” over the Atkins diet. While most doctors reluctantly agreed that Dr. Atkins’ diet could reduce body fat, most believed it was still very dangerous. In the words of Dean Ornish, “Sure you can lose weight on a low-carb diet, but you can also lose weight on heroin and no one would recommend that!”

Fair point. In fact, the authors of this study acknowledged that they “strongly expected” this dietary intervention to increase risk for cardiovascular disease, which is why they only included subjects on statins with low LDL-C. However, as you can see from the table above, the authors were startled by the results. The subjects experienced a significant reduction in plasma triglycerides and VLDL triglycerides, without an increase in LDL-C or LDL-P. In fact, LDL size and HDL size increased and VLDL size decreased – all signs of improved insulin resistance. Furthermore, fasting glucose and insulin levels also decreased significantly. The mean HOMA-IR was reduced from 5.6 to 3.6 (normal is 1.0) and TG/HDL-C from 3.3 to 2.0 (normal is considered below 3, but “ideal” is probably below 1.0) in just 6 weeks. Taken together, these changes, combined with the dramatic change in VLDL size, suggest insulin resistance was dramatically improved while consuming a diet of 50% saturated fat!

As all of these patients were taking statins, we’re really robbed of seeing the impact of this diet on LDL-P, which did not change. Also, CRP levels rose (though not clinically or statistically significantly).

Putting it all together

It is very difficult to make the case that when carbohydrates in general, and sugars in particular, are removed or greatly reduced in the diet, insulin resistance is not improved, even in the presence of high amounts of saturated fats. When insulin resistance improves (i.e., as we become more insulin sensitive), we are less likely to have the signs and symptoms of metabolic syndrome. As we meet fewer criteria of metabolic syndrome, our risk of not only heart disease, but also stroke, cancer, diabetes, and Alzheimer’s disease goes down.

Furthermore, as this study on the Framingham cohort showed us, the more criteria you have along the spectrum of metabolic syndrome, the more difficult it becomes to predict your risk, due to a widening gap in discordant risk markers, as shown in this figure.
LDL-C vs. LDL-P in MS
As I noted at the outset, the “dream” trial has not yet been done, though we (NuSI) plan to change that. Until then each of us has to make a decision several times every day about what we will and won’t put in our mouths. Much of this blog is dedicated to underscoring the impact of carbohydrate reduction on insulin resistance and metabolic syndrome.

The results of the trials to date, combined with a nuanced understanding of the lipoprotein physiology and their role on the atherosclerotic disease process, bring us to the following conclusions:
  1. The consumption of sugar (sucrose, high fructose corn syrup) increases plasma levels of triglycerides, VLDL and apoB, and reduces plasma levels of HDL-C and apoA-I.
  2. The removal of sugar reverses each of these.
  3. The consumption of fructose alone, though likely in dose-dependent fashion, has a similar, though perhaps less harmful, impact as that of fructose and glucose combined (i.e., sugar).
  4. The addition of fat, in the absence of sugar and starch, does not raise serum triglycerides or other biomarkers of cardiovascular disease.
  5. The higher the level of serum triglycerides, the greater the likelihood of discordance between LDL-C and LDL-P (and apoB).
  6. The greater the number (from 0 to 5) of inclusion criteria for metabolic syndrome, the greater the likelihood of discordance between LDL-C and LDL-P (and apoB).
I would like to address one additional topic in this series before wrapping it up – the role of pharmacologic intervention in the treatment and prevention of atherosclerotic disease, so please hold off on questions pertaining to this topic for now.

Read the complete article here.