Nutritional and Metabolic Diseases

All Conditions

Metabolic Diseases

50 subjects, adults aged over 18 years, voluntarly participating in this observational study

This is an observational study. The control group (omnivours) will be compared with all otgher groups

This is an observational study

Esther Molina Montes

Noelia M Rodriguez Martin

Mireia Obon Santacana

Pilar Amiano

Esther Molina Montes, Doctor

Esther Molina-Montes

Maria Dolores Ruiz Lopez

Reyes Artacho

Belen Garcia-Villanova

Vito Verardo

Maria Jose Sanchez Perez

Miguel Rodriguez Barranco

Beatriz Sarria

Noelia M Rodriguez-Martin

Justo J Pedroche Jimenez

Ana L Lemus-Conejo

Rocio M Toscano Sanchez

Raquel Cumeras

Noelia M Rodriguez

This projects aims to characterize dietary habits and nutrition quality of pro-vegetarian diets as compared to omnivorous diets. It also aims to stablish gut microbial and metabolit profiles of this dietary pattern, in order to elucidate the role of plant-based diets in cancer prevention and treatment.

Plant-based foods (fruits, vegetables, cereals, nuts and seeds, legumes, and vegetable oils) are the main source of fiber and other bioactive compounds in the diet. Plant-based diets are therefore assumed to prevent mortality and the ocurrence of chronic diseases including cancer. However, evidence on this issue is still scarce, and the mechanisms and drivers of their potential health benefits are also only partially known.

The main objectices of this project are:

1. To develop and validate dietary assessment methods for the vegetarian population
2. To assess dietary habits and consumer beliefs of vegetarians with respect to omnivores, considering different types of vegetarian diets
3. To identify a gut microbiota signature related to plant-based diets from subgroups of subjects following a plant-based diet foods (vegans, lacto-vegetarians, ..., and pro-vegetarians) and omnivorous subjects (non-plant-based diets), from stool metagenomic sequencing.
4. To relate this signature with metabolites present in faeces (related to the presence of certain microbial species) and in urine to improve the predictive capacity of the microbial signature of vegetable diets.
5. Validate the signature using independent study populations, and including colorectal and breast cancer survivors as another study target.

Pro-Vegetarian Diets, Microbial/Metabolite Profiles and Cancer

Characterizacion of Pro-VEgetarian Diets: Diet Quality and Nutrition, MIcrobial/Metabolite Profiles and Implications in CAncer (MIVECA Study)

Dietary habits will be taken by an online specific Food Frequency Questionnaire (FFQ) for Spanish population, including novel vegetarian foods to evaluate vegetarian food consumption. The data analysis will be taken at baseline outcome.

To validated dietary assessment method, two 24-Hour-Recalls in two non-consecutive days will be used, as well as the analysis of specific vegetarian diet metabolites in urine and stool samples using Ultra performance liquid chromatography - tandem mass spectrometer (UPLC-MS/MS). The data analysis will be taken at baseline. We have estimated that 200 subjects will be sufficient to detect, with a 95% confidence and power of 90%, correlation coefficients greater than rho=0.2.

Andalusian School of Public Health

Institut Investigacio Sanitaria Pere Virgili

Institut d'Investigació Biomèdica de Bellvitge

National Research Council, Spain

Instituto de Ciencia y Tecnología de Alimentos y Nutrición

University of Seville

Biodonostia Health Research Institute (Biodonostia HRI)

Universidad de Granada

Professor (Assistant)

Neoplasms

Skin and Connective Tissue Diseases

Rare Diseases

Sarcoma

Osteosarcoma

Sarcoma, Ewing

Neoplasms, Connective and Soft Tissue

Neoplasms by Histologic Type

Neoplasms, Bone Tissue

Neoplasms, Connective Tissue

Soft Tissue Sarcoma

Ewing Sarcoma

Patients of \>= 12 years old (pediatric and adults) with new diagnosis of osteosarcoma and Ewing sarcoma will be included

* Localized and metastatic
* Male and female

Control cases matched by age, sex and italian geographic area

* Patients of \>= 12 years old (pediatric and adults) with new diagnosis of osteosarcoma and Ewing sarcoma will be included Localized and metastatic Male and female
* Control cases matched by age, sex, and geographic area

Anthropometric measurements (Body mass Index, Lean and fat body composition evaluation) and diet habits evaluation with EPIC-COS-FFQ

EPIC-COS Food Frequency Questionnaire diet Evaluation

At diagnosis before any treatment for bone sarcoma will be obtained :

1. a blood sample for metabolomics analyses
2. a stool sample for microbiota analysis
3. Lymphocyte subpopulations (CD3, CD4, CD8, NK) will be analyzed in blood samples

Metabolome, Microbiota, Lymphocytes subpopulations

Alessandra Longhi, MD

Inge Huybrechts, PhD

Giovanni Grignani, MD

Angela Tamburini, MD

Luca Coccoli, MD

Virginia Ferraresi, MD

Franca Fagioli, MD

Osteosarcoma and Ewing sarcoma treatment has not changed in the last 30 years.

For other types of cancer the epidemiologic and prognostic correlations between dietary behavior, lifestyle and metabolic alterations (i.e.obesity, insulin-resistance) are well known (breast cancer, prostate cancer, colon cancer). However, no epidemiological or prognostic data are available about the metabolic profile and lifestyle behaviors in patients with osteosarcoma and Ewing'sarcoma and only few preclinical studies are available. An in vitro study showed a higher glucose and glutamine consumption from metastatic osteosarcoma cells compared to primary tumor osteosarcoma cells. The effect of the intestinal microbiota into the metabolism of nutrients, drugs, inflammation, epigenetic and immune response was found not only correlated to gastrointestinal tumors but also to other tumors outside gastrointestinal system as well The aim of this study is to investigate if there are differential dietary habits, metabolome, microbiota or immune profile in patients with bone sarcoma compared to a control population in a 1:2 multicenter study.

MATERIALS \& METHODS A population of 270 patients of \>12 yrs old (pediatric and adults) with new diagnosis of osteosarcoma and Ewing sarcoma will be included. A detailed dietary intake assessment will be done with EPIC-COS food frequency questionnaire (FFQ) and anthropometric measures (Weight, Height, body fat/lean mass composition) will be taken at diagnosis before treatment and compared to 540 controls matched by age, sex, and italian geographic area.

In addition, inside this main study a pilot study of 55 patients and 110 controls of same age, sex, geographic area will be performed for analysis of metabolome, microbiota, and immune profile.

At diagnosis, before any treatment , a blood sample will be obtained for metabolomics analyses (untargeted approach with over 100.000 of metabolites, (Mass Spectrometry method) and to evaluate lymphocyte subpopulations (CD3, CD4, CD8, NK) in blood. Microbiota will be analyzed in donated stool samples using the S16 method. All data will be analyzed for inter-correlations among the different parameters and to investigate putative associations with EPIC-COS Food Frequency questionnaires and anthropometric data .

STATISTICAL ANALYSIS Conditional logistic regression analyses will be used to calculate odds ratio (OR) and 95% confidence interval (CI) to investigate associations between dietary habits and bone sarcoma risk in the case control study. An odds ratio of 1.6 with a potency of 85% was considered in the sample size calculations, leading to a target sample size of 270 cases with 540 matched healthy controls.

For the pilot cohort samples of 55 cases and 110 controls will be analyzed for metabolome, microbiota and immune profile. According to the results of this pilot study further cases among the population of FFQ study will undertake further analysis of metabolome and/or microbiota and/or lymphocyte subpopulation to confirm the results of pilot study.

OBJECTIVES OF THE STUDY

1. Compare the diet habits and anthropometric measures in bone sarcoma patients at diagnosis with matched controls
2. Pilot study: in the first 55 pts and their matched 110 healthy voluntary controls will be explored:

   1. the occurrence of altered or more recurrent metabolites in patients' blood compared to controls
   2. different microbiota diversity and composition between patients and case controls
   3. different lymphocytes subpopulations composition.

Bioinformatics analysis will be performed to investigate these objectives

Inside this main study (270:540) a pilot study of 55 patients and 110 controls of same age, sex, geographic area (1:2) will be performed for analysis of metabolome, microbiota, and immune profile.

At diagnosis before any treatment a blood sample will be obtained for metabolomics analyses (untargeted approach with over 100.000 of metabolites, (Mass Spectrometry method) and to evaluate lymphocyte subpopulations (CD3, CD4, CD8, NK) in blood. Microbiota will be analyzed in donated stool samples using the S16 method. All data will be analyzed for inter-correlations among the different parameters and to investigate putative associations with Food Frequency questionnaires and anthropometric data.

Dietary Habits, Metabolome, Immune Profile and Microbiota in Patients With Bone Sarcoma

Evaluation of Dietary Habits, Metabolome, Immune Profile and Microbiota in Patients With Bone Sarcoma

Diet habits from osteosarcoma and Ewing sarcoma patients will be compared with diet habits from a control population. The diet habits data will be evaluated EPIC COS FFQ( European Prospective Investigation Into Cancer and Nutrition Case Only Study Food Frequency Questionnaire) which report:

the food consumptions in the last 12 months

- Main food groups (water and other drinks, grain products, fruits and vegetables, legumes, meat and fish products, dairy products, sweets and savory snacks)

FFQ-EPIC COS can be accessed on PubMed (PMID: 12484126 and PMID: 12484120).

Diet quality index from osteosarcoma and Ewing sarcoma patients will be compared with diet habits from a control population. Data will be accessed with EPIC COS FFQ( European Prospective Investigation Into Cancer and Nutrition Case Only Study Food Frequency Questionnaire )

- Diet quality index will be calculated to compare adherence to dietery guidelines and it will be expressed in percentage

Body Mass Index (BMI) measure will be achieved in patients and controls by impedance Tanita scale model BC545 based on height (in centimeters) and weight (in Kilograms) expressed in subjects \>18yrs as 1) underweight if \<18.5, 2) normal weight 18.5 to 25,3)overweight 25-30 and 4) obese \>30.

BMI measure will be achieved by impedance Tanita scale model BC545 in study patients at diagnosis and compared with a control subjects.

Lean mass and fat mass will be calculated via impedance Tanita scale model BC545 as a percentage of total weight .Lean body mass is the difference between total body weight and body fat weight, expressed as percentage (%)

Concentration of untargeted blood metabolites obtained via mass spectometry SANIST technique from blood of 55 patients and from 110 control subject blood. Metabolome will be analyzed in order to determine if there is an occurrence of altered or more recurrent metabolites in patients' blood compared to controls.

Microbiota will be analyzed with S16 method. Microbiota diversity and composition between patients and controls will be analyzed and expressed as alpha and beta diversity

Concentrations of (CD3,CD4.CD8,NK) lymphocytes subpopulation will be detected onceat diagnosis before any treatment for sarcoma and they will beexpressed as total number.

The lymphocytes subpopulation will be measured once at diagnosis in study patients and matched controls.

Fatty acids triglycerids(mg/dL), total cholesterol (mg/dL), HDLcholesterol (mg/dL) and LDL cholesterol (mg/dL), glucose (mg/dL) will be measured once in blood at diagnosis in study patients and control subjects

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
Pro-Vegetarian Diets, Microbial/Metabolite Profiles and Cancer	NCT05621122	Dietary Habits Food Habits Nutrition, Heal... Cancer Metabolic Disea...	This is an obse...	18 Years -	Universidad de Granada
Dietary Habits, Metabolome, Immune Profile and Microbiota in Patients With Bone Sarcoma	NCT04735289	Osteosarcoma Ewing Sarcoma	EPIC-COS Food F... Metabolome, Mic...	12 Years -	Istituto Ortopedico Rizzoli
Pro-Vegetarian Diets, Microbial/Metabolite Profiles and Cancer	NCT05621122	Dietary Habits Food Habits Nutrition, Heal... Cancer Metabolic Disea...	This is an obse...	18 Years -	Universidad de Granada
Dietary Habits, Metabolome, Immune Profile and Microbiota in Patients With Bone Sarcoma	NCT04735289	Osteosarcoma Ewing Sarcoma	EPIC-COS Food F... Metabolome, Mic...	12 Years -	Istituto Ortopedico Rizzoli

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