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miRNAs are small non-coding RNAs of approximately 22 nucleotides in length, which have the function of regulating gene expression at the post-transcriptional level through base complementation of protein-coding transcripts, this interaction leading to translational repression by destabilizing the messenger RNA. Evidence demonstrates an association between differences in miRNA expression and the development of various pathologies, including obesity, type 2 diabetes, cardiovascular disease, neurodegenerative disorders and cancer. Other factors that could also modulate miRNA expression include nutritional status, diet and even exercise. The aim of this study is to identify exosome microRNAs that modify their expression in plasma from patients with insulin resistance fed different dietary protein sources. A randomized controlled clinical trial will be performed where the selected participants will be assigned by lottery to a dietary intervention of usual diet with protein of plant or animal origin for 4 weeks. The study will consist of 3 visits where anthropometric parameters, body composition, systolic and diastolic blood pressure, dietary compliance through 24-hour recall and food logs, biochemical tests (insulin, glucose, triglycerides, total cholesterol, HDL, LDL), the relative expression of plasma exosome miRNAs and markers of oxidative stress will be evaluated. Participants will receive a weekly food pantry during the first two visits in order to improve compliance to the dietary intervention.
The study will evaluate the effect of 2 dietary interventions on the regulation of plasma exosome microRNA expression in patients with insulin resistance.
STUDY PROGRAM
The study will consist of 3 visits
Planned (selection of participants)
Once the insulin resistance patients are identified (HOMA- Insulin Resistance ≥ 2.5) the study will begin and participants will be randomized into two intervention groups.
Visit 1 (baseline)
9. They will be given a logbook to write down their daily food consumption and they will be taught how to fill it out.
10. An online questionnaire will be explained how to fill out every third day to detect the consumption of recommended and non-recommended foods from the list provided, according to the assigned group.
11. They will be given a pantry with foods rich in protein only (animal protein vs. vegetable protein) according to the assigned group (explained in the section on pantries).
Visit 2 (intermediate)
Visit 3 (final)
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Regular diet with vegetable protein | Experimental | Nutritional recommendations will be given to ensure that the patient consumes a regular diet where the protein intake will be mostly from vegetable protein sources. |
|
| Regular diet with animal protein | Active Comparator | Nutritional recommendations will be given to ensure that the patient consumes a regular diet where the protein intake will be mostly from animal protein sources. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Vegetal protein | Other | Nutritional recommendations will be given to ensure that the patient consumes a regular diet where the protein intake will be mostly from vegetal protein sources |
| Measure | Description | Time Frame |
|---|---|---|
| Change in the expression profile of microRNAs from exosomes with real -time quantitative polymerase chain reaction in fold change | Fold change in the expression profile of microRNAs from exosomes after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal) with real -time quantitative polymerase chain reaction | 4 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Change on HOMA index | Change in the HOMA index after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal). | 4 weeks |
| Change in body weight in kg | Change in the body weight in kg after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal) using a standard calibrated electronic balance. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Martha Guevara-Cruz, Doctor | Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán | Mexico City | Mexico City | 14080 | Mexico | ||
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30951666 | Result | Lasser C. Mapping Extracellular RNA Sheds Lights on Distinct Carriers. Cell. 2019 Apr 4;177(2):228-230. doi: 10.1016/j.cell.2019.03.027. | |
| 31447320 | Result | Mori MA, Ludwig RG, Garcia-Martin R, Brandao BB, Kahn CR. Extracellular miRNAs: From Biomarkers to Mediators of Physiology and Disease. Cell Metab. 2019 Oct 1;30(4):656-673. doi: 10.1016/j.cmet.2019.07.011. Epub 2019 Aug 22. |
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| ID | Term |
|---|---|
| D007333 | Insulin Resistance |
| ID | Term |
|---|---|
| D006946 | Hyperinsulinism |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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| ID | Term |
|---|---|
| C513103 | GDF1 protein, Xenopus |
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The person performing the analysis of the study results should be unaware of the assigned intervention so that such knowledge does not influence the results. Therefore, it will be a person outside the study.
| Animal protein | Other | Nutritional recommendations will be given to ensure that the patient consumes a regular diet where the protein intake will be mostly from animal protein sources. |
|
| 4 weeks |
| Change in biochemical parameters in mg/dL | Change the biochemical parameters in mg/dL ( glucose, total cholesterol, triglycerides, HDL cholesterol, LDL cholesterol) after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal) analysed by an enzymatic colorimetric method using the Cobas C111 analyser (Roche Diagnostic. Indianapolis. IN). | 4 weeks |
| Change in body composition in percentage | Change in the body composition in percentage after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal) by multifrequency bioimpedance analysis. | 4 weeks |
| Change in C Reactive Protein in mg/L | Change in C Reactive Protein in mg/L after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal) analysed by an enzymatic colorimetric method using the Cobas C111 analyser (Roche Diagnostic. Indianapolis. IN). | 4 weeks |
| Amino acid profile in mmol/L | Change in amino acid profile in mmol/L after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal) determinated by High performance liquid chromatography | 4 weeks |
| Change in the area under curve of glucose in mg/dL per 2 hours | Change in the area under curve of glucose in mg/dL per 2 hours after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal). | 4 weeks |
| Change in the area under curve of insulin in microIU/mL per 2 hours | Change in the area under curve of insulin in micro IU/mL per 2 hours after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal). | 4 weeks |
| Change in the waist circumference in centimeters | Change in the waist circumference in centimeters after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal) using a flexible tape measure. | 4 weeks |
| Change in the blood pressure in mmHg | Change in the blood pressure in mmHg after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal). | 4 weeks |
| Change in the Malondialdehyde in micromol/L | Change in the Malondialdehyde in micromol/L after 4 weeks of usual diet with consumption of different protein sources (vegetable vs. animal) measured by ELISA | 4 weeks |
| Martha Guevara Cruz |
| Mexico City |
| 14060 |
| Mexico |
| 28490541 | Result | Safdar A, Tarnopolsky MA. Exosomes as Mediators of the Systemic Adaptations to Endurance Exercise. Cold Spring Harb Perspect Med. 2018 Mar 1;8(3):a029827. doi: 10.1101/cshperspect.a029827. |
| 30648107 | Result | Huang Y, Yan Y, Xv W, Qian G, Li C, Zou H, Li Y. A New Insight into the Roles of MiRNAs in Metabolic Syndrome. Biomed Res Int. 2018 Dec 17;2018:7372636. doi: 10.1155/2018/7372636. eCollection 2018. |
| 30429322 | Result | Castano C, Kalko S, Novials A, Parrizas M. Obesity-associated exosomal miRNAs modulate glucose and lipid metabolism in mice. Proc Natl Acad Sci U S A. 2018 Nov 27;115(48):12158-12163. doi: 10.1073/pnas.1808855115. Epub 2018 Nov 14. |
| 32723508 | Result | Jimenez-Lucena R, Alcala-Diaz JF, Roncero-Ramos I, Lopez-Moreno J, Camargo A, Gomez-Delgado F, Quintana-Navarro GM, Vals-Delgado C, Rodriguez-Cantalejo F, Luque RM, Delgado-Lista J, Ordovas JM, Perez-Martinez P, Rangel-Zuniga OA, Lopez-Miranda J. MiRNAs profile as biomarkers of nutritional therapy for the prevention of type 2 diabetes mellitus: From the CORDIOPREV study. Clin Nutr. 2021 Mar;40(3):1028-1038. doi: 10.1016/j.clnu.2020.06.035. Epub 2020 Jul 15. |
| 30033101 | Result | Min KH, Yang WM, Lee W. Saturated fatty acids-induced miR-424-5p aggravates insulin resistance via targeting insulin receptor in hepatocytes. Biochem Biophys Res Commun. 2018 Sep 10;503(3):1587-1593. doi: 10.1016/j.bbrc.2018.07.084. Epub 2018 Jul 20. |