ClinicalTrials.gg
TerminatedNCT03322449Updated Sep 5, 2024

APOA2 Gene, Diet, Inflammation and Gut Health

An interventional study of Animal Diet and Plant Diet in Inflammation, sponsored by Tufts University. Terminated at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-09-05.

Sponsored by Tufts University · Not applicable, Interventional, and Prevention

Why this study was terminated
COVID-19
Phase
Not applicable
Study type
Interventional
Enrollment
37
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

Nutrients and chemicals in food are able to regulate expression of genetic elements. Gene-nutrient interaction in response to unhealthy diets can increase an individual's risk, shifting the individual from health toward the development of chronic disease. The apolipoprotein A2 (APOA2) gene may either put individuals at risk for or protect from obesity in the presence of certain fats in food. The main purpose of this four-week study is to examine diet induced gene-nutrient interaction, with a focus on gut health, gut microbiota and inflammation in individuals who have either the CC or the TT form within a specific variant of the APOA2 Gene. The (2) one-week study diets, one plant based and the other animal based are separated by a (1) week return to your regular habitual without probiotic or prebiotic food products.

Read the detailed description

The primary objectives of this application are 1. To use a diet intervention setting to rigorously evaluate the mechanisms responsible for the previously observed effects, focusing on gut microbiota and markers of gut health and inflammation and 2. To prove that targeted dietary intervention based on genes can provide additional, tailored benefit to genetically vulnerable individuals. The overall hypothesis proposes that significant cross-talk between the human host genome, the microbiome, and the diet, defines the observed inter-individual variation in metabolic and physiological responses. Accordingly, the investigators propose the following specific aims and hypotheses.

AIM 1: To catalog the response of the plasma metabolome to diets differing in saturated fat and prebiotics content (animal-based diet versus plant-based diet) in individuals from the USA carrying CC (n=20) and TT (n=20) genotypes at the common APOA2 -265T>C SNP using a crossover, randomized dietary intervention study.

Our primary hypothesis states: A significant and biologically relevant proportion of the individual variation in changes in the plasma metabolome in response to dietary saturated fat and prebiotic intake will be due to APOA2-265T>C genotypes. Specifically, subjects homozygous (CC) for the less common C allele will respond to decreases in total dietary saturated fat and increases in prebiotics (i.e., plant-based diet) with significantly greater improvement of metabolites related to gut health, inflammation and other cardiometabolic traits than subjects homozygous (TT) for the common T allele.

AIM 2: To characterize differential impacts of low SFA/high prebiotic (plant-based) diet vs. high SFA/low prebiotic (animal-based) diets on gut microbiota patterns between CC and TT persons at APOA2-265T>C.

Our primary hypothesis states: CC subjects have a preference for high-fat and -protein foods and therefore high levels of Bacteroidetes, Actinobacteria and similar species in the gut are expected. Moreover, reducing intake of saturated fat and increasing prebiotics will be more effective in inducing a healthier gut microflora profile in CC subjects than in those with the TT genotype, with opposite effects observed when the diet is switched to one high in saturated fat.

AIM 3: To integrate the metabolomic and gut microflora taxonomic information generated in AIM1 and AIM2 in order to elucidate the physiological mechanism(s) by which diet impinges on metabolic pathways through APOA2 genotypes.

Our primary hypothesis states: A diet low in saturated fat and high in prebiotics induces beneficial changes in gut microbiota, metabolic processes and inflammation, which are significantly more pronounced in CC than in TT subjects.

02

Conditions studied

  • Inflammation

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Keywords

  • APOA2
  • Inflammation
  • gene
  • diet
03

In context

Inflammation

3,536 studies on the registry are indexed under Inflammation; 642 are open to participants now.

This study's enrollment of 37 is below the median of 50 across 2,577 interventional studies indexed under Inflammation.

Browse Inflammation studies →

Lead sponsor

Tufts University is the lead sponsor of 228 studies on the registry; 23 are open to participants now.

Of its 11 completed or terminated interventional studies of FDA-regulated products, 8 (73%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Men and women
  • 18 years or older
  • Women who are not pregnant
  • A ranging between 27 and 34

Exclusion criteria

Exclusion Criteria:

  • Unexplained elevation in serum transaminases (i.e. >1.5 times the ) or with evidence of active liver disease, including primary biliary cirrhosis or pre-existing gallbladder disease
  • Severe renal dysfunction (serum creatinine >2.0mg/dL)
  • Excessive alcohol consumption (>2 drinks/day)
  • Preexisting cardiovascular disease (CVD)
  • Stable exertional angina pectoris requiring sublingual nitroglycerin within the prior 3 months
  • Uncontrolled tyoe 2 diabetes (T2D) (fasting glucose >126 mg/dl) or other significant endocrine disease.
  • Uncontrolled hypertension (systolic blood pressure >180 mmHg or diastolic blood pressure >100 mmHg).
  • History of pancreatitis within 1 yr. prior to screening.
  • Subjects on lipid lowering or diabetes medications.
  • Smoking
  • Pregnancy
  • (BMI) below 27 or greater than 34 kg/m2
  • Participants will also be excluded for drug abuse, extreme dietary habits, multiple food allergies, extreme levels of physical or athletic activity, or by changes in body weight >20 lbs. during the last 6 months
  • Current use of antibiotics or during the previous 4 weeks.
  • Inability to follow any of the experimental diets (including being vegetarian) or to perform the sampling required for this study
  • Use of herbal supplements that may alter the gut microflora
  • diseases
  • Recent colonoscopy (within the previous two months)
  • Use of antidiarrheal medication
  • Thyroid diseases
  • Use of omega-3 supplements (unless it is discontinued one month prior to the beginning of the study).
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

ULN (upper limit of normal)

The top of the normal range for a blood test, as set by the laboratory that runs it. Each lab prints its own range next to your result.

“≤ 2.5 × ULN” means the result can be up to two and a half times that top value.

Autoimmune disease

A condition in which the immune system attacks the body’s own tissues, such as rheumatoid arthritis, lupus, psoriasis, type 1 diabetes or inflammatory bowel disease.

Immunotherapy studies often leave out active autoimmune disease, and some name exceptions, such as thyroid disease on replacement hormone. Check the exceptions this study lists.

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Single (Investigator)
Enrollment
37 participants (actual)

Study arms

  • Experimental
    Animal Diet

    during this Arm, the participants will receive a diet enriched in animal products

    Other: Animal Diet

  • Experimental
    Plant Diet

    during this Arm, the participants will receive a diet enriched in plant products

    Other: Plant Diet

Interventions

  • OtherAnimal Diet

    during one week participants will receive food products enriched in animal products and with high content of fat and protein

  • OtherPlant Diet

    during one week participants will receive plant products enriched in fiber and complex carbohydrates

06

What researchers measure

Primary outcomes

  1. tryptophan metabolism

    The response of plasma metabolites related to tryptophan metabolism to diets differing in saturated fat and prebiotics content (animal-based diet versus plant-based diet) will vary in individuals carrying CC (n=20) and TT (n=20) genotypes at the common APOA2 -265T\>C single nucleotide polymorphism (SNP)

    Time frame: 1 week per intervention arm

Secondary outcomes

  1. Satiety assessment using plasma levels of leptin

    Plasma leptin (ng/ml) will be measured in plasma during each one of the intervention phases. The response of leptin (ng/ml) to a saturated fat rich diet will be less on subjects with the CC genotype at the APOA2 locus as compared to TT subjects

    Time frame: 1 week per intervention arm

  2. adipose tissue metabolism

    Plasma adiponectin (micrograms/ml) will be measured in plasma during each one of the intervention phases. The response of adiponectin to a saturated fat rich diet will be less on subjects with the CC genotype at the APOA2 locus as compared to TT subjects

    Time frame: 1 week per intervention arm

  3. Plasma Lipoproteins

    Plasma lipoprotein concentrations in mg/dl (VLDL, LDL, HDL) and subclasses assessed by proton nuclear magnetic resonance (NMR) spectroscopy

    Time frame: 1 week per intervention arm

  4. Gut microbiota diversity and composition

    A low saturated fat (SFA)/high prebiotic (plant-based) diet and a high SFA/low prebiotic (animal-based) diets have a differential effect on gut microbiota patterns according to the presence of the CC or TT genotypes at the APOA2-265T\>C variant

    Time frame: 1 week per intervention arm

  5. Plasma levels of Interleukin 6 to assess inflammatory status

    Plasma Levels of interleukin-6 (IL6) (pg/ml) will be measured during each of the dietary phases. IL6 will be higher in CC subjects at the APOA2 locus when consuming a high fat diet than when consuming a low fat diet. A low fat diet will not elicit increased IL6 levels in TT APOA2 subjects.

    Time frame: 1 week per intervention arm

  6. Plasma levels of tumor necrosis factor alpha to assess regulation of immune cells

    Plasma Levels of tumor necrosis factor alpha (TNFA)(pg/ml) measured during each diet phase, will be significantly different depending on diet and APOA2 genotype. TNFA will be higher in CC subjects at the APOA2 locus when consuming a high fat diet than when consuming a low fat diet. A low fat diet will not elicit increased TNFA levels in TT APOA2 subjects.

    Time frame: 1 week per intervention arm

  7. Plasma levels of C-reactive to assess regulation of inflammation

    Plasma Levels of C-reactive protein (CRP) (mg/L) measured during each diet phase will be significantly different depending on diet and APOA2 genotype. CRP will be higher in CC subjects at the APOA2 locus when consuming a high fat diet than when consuming a low fat diet. A low fat diet will not elicit increased CRP levels in TT APOA2 subjects.

    Time frame: 1 week per intervention arm

  8. Plasma levels of Lipopolysaccharides to assess gut inflammation

    Plasma Levels of lipopolysaccharides (LPS) (ng/ml) will be significantly different depending on diet and APOA2 genotype. LPS will be higher in CC subjects at the APOA2 locus when consuming a high fat diet than when consuming a low fat diet. A low fat diet will not elicit increased LPS levels in TT APOA2 subjects.

    Time frame: 1 week per intervention arm

07

Study locations

1 site
  • Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University
    Boston, Massachusetts 02111, United States
08

References and documents

Publications

  • Corella D, Arnett DK, Tsai MY, Kabagambe EK, Peacock JM, Hixson JE, Straka RJ, Province M, Lai CQ, Parnell LD, Borecki I, Ordovas JM. The -256T>C polymorphism in the apolipoprotein A-II gene promoter is associated with body mass index and food intake in the genetics of lipid lowering drugs and diet network study. Clin Chem. 2007 Jun;53(6):1144-52. doi: 10.1373/clinchem.2006.084863. Epub 2007 Apr 19. PubMed 17446329 ↗
  • Corella D, Peloso G, Arnett DK, Demissie S, Cupples LA, Tucker K, Lai CQ, Parnell LD, Coltell O, Lee YC, Ordovas JM. APOA2, dietary fat, and body mass index: replication of a gene-diet interaction in 3 independent populations. Arch Intern Med. 2009 Nov 9;169(20):1897-906. doi: 10.1001/archinternmed.2009.343. PubMed 19901143 ↗
  • Smith CE, Tucker KL, Arnett DK, Noel SE, Corella D, Borecki IB, Feitosa MF, Aslibekyan S, Parnell LD, Lai CQ, Lee YC, Ordovas JM. Apolipoprotein A2 polymorphism interacts with intakes of dairy foods to influence body weight in 2 U.S. populations. J Nutr. 2013 Dec;143(12):1865-71. doi: 10.3945/jn.113.179051. Epub 2013 Oct 9. PubMed 24108135 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 5, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03322449
Lead sponsor
Tufts University
Responsible party
Jose Ordovas (Senior Scientist, Tufts University) — Principal investigator
First posted
Oct 26, 2017
Start date
Oct 13, 2017
Primary completion
Apr 30, 2020
Completion
Apr 30, 2020
Last update
Sep 5, 2024

Study contacts

Jose M Ordovas, PHD
principal investigator · JM-USDA HNRCA at Tufts University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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