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Effects of Almond Intake on Atherogenic Lipoprotein Particles

Effects of Almond Intake on Atherogenic Lipoprotein Particles in Individuals With Increased Abdominal Adiposity

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01792648
Enrollment
24
Registered
2013-02-15
Start date
2013-04-30
Completion date
2016-04-30
Last updated
2017-11-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Dyslipidemia, Obesity, Abdominal

Keywords

Almond, Carbohydrate, Diet, Cholesterol

Brief summary

Increased abdominal adiposity is a key feature of metabolic syndrome, which describes a cluster of cardiovascular disease (CVD) risk factors that also includes insulin resistance, high blood pressure and an atherogenic lipoprotein phenotype characterized by increased plasma triglycerides, low HDL-C, and increased levels of small LDL particles. While lifestyle intervention remains the cornerstone for managing obesity and metabolic syndrome, the optimal dietary macronutrient distribution for improving blood lipids and CVD risk remains a topic of controversy. While both low carbohydrate diets and weight reduction are effective for managing atherogenic dyslipidemia, long-term compliance is low, and it becomes imperative to identify alternative dietary approaches. Increased consumption of almonds has been shown to lower LDL-C, an effect that exceeds that predicted from changes in fatty acid intake. However, although LDL-C lowering by almonds has been demonstrated in patients with diabetes, there have been no trials in non-diabetic patients with abdominal obesity. Moreover, there is limited information of the effects of almond intake on LDL particle subclasses. The overall objective of the present study is to determine whether lipoprotein measures of CVD risk in individuals with increased abdominal adiposity are reduced by almond supplementation in a diet with overall macronutrient content that conforms to current guidelines. Our main hypothesis is that in these individuals, almond consumption can reduce levels of small and medium LDL particles without the need to restrict dietary carbohydrates to levels below those currently recommended. This hypothesis will be tested by comparing the lipoprotein effects of an almond-supplemented diet (20%E) with those of two reference diets that do not contain almond products: one with similar content of carbohydrate, protein, and fat (standard reference), and the other in which carbohydrate content is reduced by substitution of protein and monounsaturated fat (low-carbohydrate reference). We will provide the diets for 3 weeks each in a randomized 3-period crossover design to 40 individuals with increased abdominal adiposity. We will test whether the almond supplemented diet will result in lower levels of lipoprotein measures of CVD risk, specifically LDL-C and small and medium LDL particles, compared to either the standard or low-carbohydrate reference diets.

Interventions

OTHERStandard reference diet

50% energy as carbohydrate, 15% energy as protein, 35% energy as total fat

OTHERAlmond supplemented diet

50% energy as carbohydrate, 15% energy as protein, 35% energy as total fat, 20% energy from almonds

OTHERLow carbohydrate reference diet

26% energy from carbohydrate, 29% energy from protein, 45% energy from total fat

Sponsors

Almond Board of California
CollaboratorOTHER
UCSF Benioff Children's Hospital Oakland
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
TREATMENT
Masking
SINGLE (Investigator)

Eligibility

Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Age 20 or older * Increased abdominal adiposity as defined by waist circumference ≥102 for men or ≥88 for women. * Fasting blood sugar (FBS) \< 126 mg/dl * Weight stable for \> 3 months.

Exclusion criteria

* History of coronary heart disease, cerebrovascular disease, peripheral vascular disease, bleeding disorder, liver or renal disease, diabetes, lung disease, HIV, or cancer (other than skin cancer) in the last 5 years. * Taking hormones or drugs known to affect lipid metabolism or blood pressure. * Systolic blood pressure \> 160 mm Hg and diastolic blood pressure \> 95 mm Hg. * Body mass index (BMI) \> 38 kg/m2 * User of nicotine products or recreational drugs * Refusal to abstain from alcohol or dietary supplements during the study. * Total- and LDL-C \> 95th percentile for sex and age. * Fasting triglycerides \> 50mg/dl and \> 500 mg/dl * Abnormal thyroid stimulating hormone (TSH) levels. * Pregnant or breast-feeding

Design outcomes

Primary

MeasureTime frameDescription
Change in Total and LDL cholesterol3 weeks, 8 weeks, 13 weeksChange in total and LDL cholesterol between each of the 3 test diets
Change in small and medium LDL particles3 weeks, 8 weeks, and 13 weeksChange in small and medium LDL particles between each of the 3 test diets
Change in apolipoprotein B3 weeks, 8 week, 13 weeksChange in apolipoprotein B between each of the 3 test diets

Secondary

MeasureTime frameDescription
Change in HDL-cholesterol3 weeks, 8 weeks, 13 weeksChange in HDL-cholesterol between each of the 3 test diets
Change in large HDL particles3 weeks, 8 weeks, 13 weeksChange in large HDL particles between each of the 3 test diets
Change in total/HDL-cholesterol ratio3 weeks, 8 weeks, 13 weeksChange in total/HDL-cholesterol ratio between each of the 3 test diets
Change in HOMA-IR3 weeks, 8 weeks, 13 weeksChange in homeostatic model assessment insulin resistance (HOMA-IR) after each of the 3 test diets
Change in apolipoprotein AI3 weeks, 8 weeks, 13 weeksChange in apolipoprotein AI between each of the 3 test diets
Change in LDL peak particle diameter3 weeks, 8 week, 13 weeksChange in LDL peak particle diameter between each of the 3 test diets
Change in plasma triglycerides3 weeks, 8 weeks, 13 weeksChange in plasma triglycerides between each of the 3 test diets

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 21, 2026