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Fatty acids play a crucial role in various metabolic pathways, with their proportions and distributions across different cells and tissues influenced by diet and metabolism. In addition to providing energy through oxidative reactions, fatty acids serve as substrates for the synthesis of numerous molecules involved in cellular signaling processes. Therefore, quantifying fatty acids in biological samples is essential for ensuring the quality of clinical trials involving lipids and for understanding the relationship between fats and health conditions. However, the fatty acid profiles reported in clinical trials can exhibit significant heterogeneity due to both endogenous and exogenous factors, including the metabolic condition of the patients and the specific blood fraction analyzed. This variability makes difficult the comparison of results across studies. Moreover, despite the crucial role of fatty acids in immune response, most results are derived from erythrocytes, plasma, or serum, providing limited information on their variability in leukocytes. Thus, the hypothesis of this study is that metabolic conditions, characterized by fasting or postprandial states, can influence the fatty acid profile depending on the blood fraction analyzed. To evaluate this hypothesis, six healthy individuals will be supplemented with fish oil for eight weeks, with blood samples collected before and after the intervention. Fatty acid levels will be measured using gas chromatography coupled with mass spectrometry in total plasma, phospholipids, erythrocytes, and leukocytes. The results will help estimate the variability caused by metabolic states according to the blood fraction, which is critical when conducting clinical trials in patients where fasting cannot be assured and is essential for comparing fatty acid profiles in studies involving leukocytes.
In summary, it is known that numerous factors can interfere with the effects of administering polyunsaturated fatty acids (n-3 PUFA), including aspects related to the experimental design, such as the form and dosage used, the duration of treatments, the blood fraction and the metabolic state of the individuals. In this context, given the importance of precise quantification of fatty acids in biological samples obtained from humans, the present study will aim to evaluate the variability caused by the administration of fish oil before and after 8 weeks of supplementation. This will involve comparing the fatty acid profiles according to different fractions (plasma, leukocytes, and erythrocytes) and fasting conditions (fasting or post-prandial). In plasma, the analysis will also consider both the total sample and the phospholipidic fraction.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| EPA Suplementation | Experimental | Six healthy individuals will be supplemented with fish oil for eight weeks, with blood samples collected before and after the intervention. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| EPA supplementation | Dietary Supplement | Six healthy individuals will be supplemented with fish oil contains omega 3 (EPA) for eight weeks, with blood samples collected before and after the intervention. |
| Measure | Description | Time Frame |
|---|---|---|
| The fasting or postprandial states on the fatty acid profile | This study will assess whether fasting or postprandial states affect the fatty acid profile based on the blood fraction analyzed. Six healthy individuals will be supplemented with 2 g/day of fish oil for eight weeks, with blood samples collected before and after the intervention. Fatty acid levels will be measured using gas chromatography-mass spectrometry in total plasma, phospholipids, erythrocytes, and leukocytes. | From December 2024 to February 2025 |
| The fasting or postprandial states on the fatty acid profile | Fatty acid levels will be measured in total plasma, phospholipids, erythrocytes, and leukocytes by fasting or postprandial states. | From December 2024 to February 2025 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Inar Castro Erger, Professor | Contact | +55(11)97429-3369 | inar@usp.br | |
| Vivian Massari Massari, Master | Contact | +55(11)96645-2370 | vivianmoura@usp.br |
| Name | Affiliation | Role |
|---|---|---|
| Inar Castro Erger, Professor | Faculty of Pharmaceutical Sciences at the University of São Paulo | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33249349 | Background | Lozier BK, Kim RN, Zuromski LM, Kish-Trier E, De Biase I, Yuzyuk T. Effect of fasting status and other pre-analytical variables on quantitation of long-chain fatty acids in red blood cells. Prostaglandins Leukot Essent Fatty Acids. 2020 Dec;163:102211. doi: 10.1016/j.plefa.2020.102211. Epub 2020 Nov 19. | |
| 13671378 | Background |
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| BLIGH EG, DYER WJ. A rapid method of total lipid extraction and purification. Can J Biochem Physiol. 1959 Aug;37(8):911-7. doi: 10.1139/o59-099. No abstract available. |
| 30415628 | Background | Bhatt DL, Steg PG, Miller M, Brinton EA, Jacobson TA, Ketchum SB, Doyle RT Jr, Juliano RA, Jiao L, Granowitz C, Tardif JC, Ballantyne CM; REDUCE-IT Investigators. Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia. N Engl J Med. 2019 Jan 3;380(1):11-22. doi: 10.1056/NEJMoa1812792. Epub 2018 Nov 10. |