This test is most useful if any of these apply to you.
Two people can have the same LDL cholesterol and carry different numbers of LDL particles. The amount of cholesterol inside each particle varies. LDL1 particle number describes the concentration of particles in the largest, least dense of six LDL subclasses.
LDL1 is an exploratory marker for prevention. It adds detail about your particle distribution, but using it to guide treatment has not been shown to improve health outcomes. The evidence connecting total ApoB-containing particle burden to cardiovascular risk is much stronger.
Cholesterol and triglycerides travel through your blood inside lipoproteins. These particles have a fatty core and a surface containing proteins. LDL particles carry cholesterol and can become trapped in artery walls, contributing to plaque formation.
This measurement uses serum and nuclear magnetic resonance spectroscopy, or NMR. The instrument measures signals from fats within circulating particles, and a calibrated model estimates particle concentrations. The six-subclass system runs from LDL1 through LDL6, with increasing density and generally decreasing size. LDL1 represents one part of the LDL population.
Each LDL particle contains one ApoB protein. A conventional ApoB measurement reflects the combined burden of several particle types that can contribute to plaque, including LDL, remnant particles and Lp(a). LDL1 describes only one subclass within that broader burden.
Much of your LDL develops from VLDL released by the liver. As these particles lose triglycerides and exchange fats with other lipoproteins, they become smaller and their composition changes. Production, remodeling and clearance all influence the number of particles remaining in each LDL subclass.
Large studies support measuring particle burden when LDL cholesterol does not fully reflect it. These studies chiefly concern conventional ApoB or total LDL particle concentration. They provide context for LDL1, but they do not validate this individual subclass as a treatment target.
| Who Was Studied | What Was Measured | What They Found |
|---|---|---|
| About 430,000 adults with and without established artery disease | Conventional ApoB, cholesterol and triglycerides | ApoB remained associated with heart attack risk after accounting for the other lipid measurements. |
| About 207,000 UK Biobank participants without prior atherosclerotic disease, diabetes or lipid-lowering treatment | Total ApoB-containing particle burden and subclasses on another NMR platform | Particle size and size subclasses did not independently predict coronary disease after accounting for total particle burden; Lp(a) added risk information. |
| About 3,000 adults in the Framingham Offspring Study | Total LDL particle concentration measured by another NMR method | The lowest quarter of LDL particle concentrations identified an event rate about a quarter lower than the lowest quarter of LDL cholesterol concentrations. |
These were comparisons between groups, not trials showing that ordering an LDL1 test prevents heart attacks. In another large study of initially healthy women, NMR lipoprotein profiles predicted cardiovascular events about as well as standard lipids and apolipoproteins, without clearly improving prediction.
Large LDL particles can contribute to plaque. Small, dense LDL often accompanies high triglycerides, insulin resistance and a greater total particle burden, which makes it difficult to separate the effects of size from the number of particles present.
Some studies find associations with particle composition. In about 1,160 Spanish adults, a greater proportion of medium or small LDL was associated with more coronary events. That study used the Liposcale NMR method and its large, medium and small categories, which do not correspond directly to this six-subclass LDL1 measurement.
The much larger UK Biobank analysis found that size added little after total particle burden was considered. Taken together, the evidence does not establish that making your LDL particles larger will reduce your risk independently of reducing the total burden.
An increased LDL1 count can accompany an increased total LDL count. A reduced LDL1 count can reflect fewer LDL particles, a redistribution toward other subclasses, or both. LDL1 alone cannot distinguish these possibilities or diagnose insulin resistance.
LDL cholesterol describes the cholesterol carried within the LDL population. When particles carry less cholesterol on average, LDL cholesterol can look reassuring despite a substantial particle burden. This mismatch is particularly relevant in diabetes, high triglycerides, obesity and metabolic syndrome.
In a study of initially healthy women, LDL cholesterol and total NMR LDL particle concentration fell on opposite sides of their respective study medians in about a quarter of participants. Their coronary risk followed the particle measurement more closely when the two disagreed. These were study-relative comparisons, not a measure of how often an LDL1 result is abnormal.
A study of adults with type 1 diabetes also found frequent disagreement between LDL cholesterol and total LDL particle concentration. In a separate small study, adults with obesity and otherwise normal glucose and standard lipid measurements had about 50% more total LDL particles than lean adults. Both studies examined broader particle profiles using other NMR methods, so neither establishes the value of LDL1 alone.
The practical implication is that cholesterol content and particle burden can differ. ApoB addresses that question directly. Whether adding LDL1 to ApoB and a standard lipid panel changes a prevention decision remains unproven.
A study of hepatitis B-related liver cancer evaluated serum NMR particle counts, including LDL1 through LDL6. Researchers combined these with VLDL and intermediate-density particle counts into a diagnostic model. In its small validation group, the model ranked a cancer case above a benign liver-disease case about 93 times in 100; AFP alone did so about 83 times in 100. AFP is a blood marker used in liver cancer assessment.
That comparison describes the whole model's performance in a selected population. It does not describe the accuracy of LDL1 alone or establish that the model works for screening people without known liver disease.
A separate study included 297 people with nasopharyngeal cancer and 149 Epstein-Barr virus-positive comparison participants. It linked LDL-1-related measurements to cancer and incorporated lipoprotein measurements into a broader risk score. This study used plasma, which is a related but different specimen from serum. These findings remain exploratory and do not make an unusual LDL1 result evidence of cancer.
Repeated measurements can describe how your LDL distribution changes, but there is no validated LDL1 trend that proves cardiovascular risk has improved. A fall in total particle burden can occur with either a rising or falling LDL1 proportion.
Interpret a trend alongside ApoB, standard lipids and your broader cardiovascular risk. LDL1 can add descriptive detail, while blood pressure, smoking, diabetes, family history and existing artery disease remain part of the risk assessment.
Evidence-backed interventions that affect your LDL1-P level
LDL1 Particle Number is best interpreted alongside these tests.