Use of Nutrigenomic Models for the Personalized Treatment With Medical Foods in Obese People

Conditions

Dyslipidemia, Obesity

Keywords

nutrigenetics, medical foods, obesity, children, adults

Brief summary

The NutriGen project will be using nutrigenomic methods to determine the effectiveness of treatments with specific dietary foods, on the basis of genetic risk predisposition (genetic signature) of obese individuals.

Detailed description

NutriGen project specific aim 1. Establishing a genetic signature model, involved in the donation of methyl groups and unsaturated omega-6/3 fatty acids metabolism, with a high predictive value for classification of dyslipidemia and insulin resistance in obese subjects. 1. Establishing a genetic signature model in obese adults with dyslipidemia. 2. Establishing a genetic signature model in obese children with insulin resistance. c. Establishing a correlation between blood/plasma concentrations of the relevant metabolites, genetic signatures and dyslipidemia profile of adults, and respectively a profile for insulin resistance in obese children. NutriGen project specific aim 2. Determining the efficacy of a dietary food specific treatment, which is also correlated with a genetic signature (nutrigenomics), based on the correlations defined in objective 1: 1. Implementation of a treatment with dietary foods (for adults), in the presence/absence of other already prescribed treatments; 2. Implementation of a treatment with dietary foods (for children), in the presence/absence of other already prescribed treatments.

Costela Lăcrimioara Șerban, Adela Chiriţă-Emandi, Iulia Teodora Perva, Alexandra Sima, Nicoleta Andreescu et al. (8 authors)

Applied Sciences2022-03-067 citations

10.3390/app12052728

<i>CHDH-PNPLA3</i> Gene-Gene Interactions Predict Insulin Resistance in Children with Obesity.

Chirita-Emandi A, Serban CL, Paul C, Andreescu N, Velea I, Mihailescu A, Serafim V, Tiugan DA, Tutac P, Zimbru C, Puiu M, Niculescu MD.

2020-11-193 citations

10.2147/dmso.s277268

Assessment of Nutritional Intakes in Individuals with Obesity under Medical Supervision. A Cross-Sectional Study

Costela Lăcrimioara Șerban, Alexandra Sima, Corina Marcela Hogea, Adela Chiriţă-Emandi, Iulia Teodora Perva et al. (12 authors)

International Journal of Environmental Research and Public Health2019-08-2216 citations

10.3390/ijerph16173036

Interventions

DIETARY_SUPPLEMENTAdministration of supplements containing methyl-donors

Administration of supplements containing methyl-donors: betaine, 5-MTHF (L-5-methyltetrahydrofolate), Vitamin B12, choline bitartrate, ALA (alfa-linolenic acid), EPA (eicosapentaenoic acid), DHA(docosahexaenoic acid)

Study design

Allocation

RANDOMIZED

Intervention model

PARALLEL

Primary purpose

SUPPORTIVE_CARE

Masking

TRIPLE (Subject, Caregiver, Investigator)

Eligibility

Sex/Gender

ALL

Age

7 Years to 70 Years

Healthy volunteers

No

Inclusion criteria

* Adults: between 18 and 70 years old; obesity present as defined by body mass index (BMI) ≥30 kg/m2 and by abdominal circumference ≥84 cm (women), and ≥90 cm (men); dyslipidemia present as defined by: serum Cholesterol ≥200 mg/dl, HDLc ≤50 mg/dl (women) or ≤40 mg/dl (men), serum Triglycerides ≥150 mg/dl, or present treatment for dyslipidemia (e.g. statins, fibrates, omega-3 fatty acids, cholestyramine, ezetimibe). * Children: age between 7 and 18 years old; BMI \>+2SD WHO reference

Exclusion criteria

* Adults: diagnosed for any type of cancer, or medical history of cancer; any auto-immune disease; any psychiatric disorder; blood coagulation disorders; history of drug abuse; alcohol abuse evaluated using AUDIT-C. * Children: the above

Design outcomes

Primary

Measure	Time frame	Description
Lipid profile	3 years	HDL-cholesterol (HDLc), LDL-cholesterol (LDLc), triglycerides (TG)

Secondary

Measure	Time frame	Description
Insulin sensitivity	3 years	HOMA-IR

Countries

Romania

Contacts

Primary ContactMaria Puiu, MD, PhD

maria_puiu@umft.ro0040730118152

Outcome results

None listed