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临床试验/NCT05377164
NCT05377164已完成不适用

Long Term Effects of Different Dietary Protocols on Determinants of Health in Patients' Lymphocytes Analysed by FTIR

University of Primorska1 个研究点 分布在 1 个国家目标入组 12 人开始时间: 2022年5月20日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
12
试验地点
1
主要终点
Fourier transform infrared spectra of absorbance at wavelenghts from 500 to 5000 cm-1

研究概览

简要总结

Food choices and eating habits play an important role in the management of common noncommunicable diseases, i.e. diabetes type II, hypertension, metabolic syndrome and others. However, for many popular diets there is yet no consensus on their actual ability to exert health effects and, regardless of some promising results, the underlying molecular mechanisms are not entirely clear. FTIR analysis could provide interesting new information; we therefore propose the analysis of lymphocytes isolated from the peripheral blood of participants who had been on vegan, ketogenic or normal mixed diet for at least one year. In particular we plan to monitor differences in lipid peroxidation, membrane permeability, protein synthesis and DNA damage. All these parameters are important in the development of the above mentioned diseases and were previously shown to be detectable by FTIR. The results will contribute importantly to the understanding of the long-term effects of the respective lifestyle and will allow the formulation of better dietary recommendations to the public.

详细描述

Scientific Background: In the overall population there is an increasing awareness that with a healthy lifestyle many chronic non-communicable diseases can be prevented or delayed in their progression. Among them diabetes type II, metabolic syndrome, hypertension and atherosclerosis are recognized as major public health issues also causing the highest proportion of deaths in the modern world. Food choices and eating habits in general play an important role in management of these diseases. There are, however, many popular diets for which there is yet no consensus on their actual possibility to exert health effects. Dietary protocols where whole food groups are excluded are especially known to have some beneficial but also some harmful effects, in particular when not planned properly and used for long periods. Two extremely different lifestyle choices are particularly common in recent years, namely low carbohydrate/high fat (LCHF) diet and vegetarian diet. In the first one, also called ketogenic diet, one eliminates all carbohydrate rich foods, such as fruit, legumes and cereals, but consumes a lot of fats, even up to 90 % of daily energy intake. Such diet is very efficient as a weight-loss program (Mohorko et al., 2019) and when used for shorter periods, was shown to have no adverse effects on total cholesterol or LDL levels. It was also efficient in decreasing the levels of serum glucose and triglycerides (Bueno et al., 2013), but in some cases was calcium deficient (Kenig et al., 2019). Long term effects have not been well investigated and a concern that high fat intake may cause more oxidative stress due to increased beta oxidation remains. Vegan diet, on the other hand, also eliminates a whole food group (meat and dairy products), which may cause depletion of some micronutrients, such as iron and vitamin B12. But, such diet is rich in antioxidants, decreases cholesterol levels and seems to increase longevity (Rizza et al., 2014). Again, studies investigating long-term effects are few.

Motivation for the proposal: In recent years, it has been shown that FTIR can identify many cellular characteristics that are related to the overall "health" of a cell. In the lymphocytes of rats under stress, increased lipid peroxidation was detected by FTIR (Vargas-Caraveo et al., 2014). In human oocytes spectral bands related to lipid saturation, membrane permeability, protein degradation and altered lipid synthesis were found to be changed with aging (Gioacchini et al., 2014). When investigating effects of diets, it is reasonable to expect that lipid content in the cells may change, there may also be differences in the extent of lipid peroxidation or other consequences of oxidative stress. DNA damage, for example, such as single and double strand breaks or DNA-protein cross links, could be induced or inhibited by different dietary ingredients and also identified with FTIR (Sofińska et al., 2020). All these parameters are very important, since increased lipid peroxidation is one of the factors contributing to the development of atherosclerosis, whereas lymphocyte membrane permeabilization and DNA damage are related to cell death and consequential impairment of the immune system. There are studies showing relevant contribution of different diets to these diseases, but underlying molecular mechanisms are not entirely clear. FTIR analysis could then provide interesting novel information, which is the objective of this proposal. In contrast to several biochemical parameters (i.e. cholesterol levels) that somewhat fluctuate depending on recently consumed foods, FTIR analysis of lymphocytes might give information on long-term consequences of a particular lifestyle.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Cross Sectional

入排标准

年龄范围
20 Years 至 60 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • 18,5 < BMI < 30 kg/m2
  • asymptomatic for any disease
  • medication free
  • same pattern of eating in the last 3 months
  • stable body mass in the last 3 months

排除标准

  • BMI < 18,5 and > 30 kg/m2
  • presence of any chronic disease
  • taking any medications
  • changed eating pattern in the last 3 months
  • unstable body mass in the last 3 months
  • taking antibiotics in the last 3 months

结局指标

主要结局

Fourier transform infrared spectra of absorbance at wavelenghts from 500 to 5000 cm-1

时间窗: through study completion, an average of 4 months

Different chemical bonds absorb light at different wavelenghts. This gives information on lipid, protein, DNA, carbohydrate composition of a cell. For individual cells, 256 scans per spectrum will be averaged at 4 cm-1 spectral resolution in transmission mode (15X condenser/objective), 100 cells per sample will be measured.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Zala Jenko Praznikar

assoc. prof.

University of Primorska

研究点 (1)

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