Objective: To evaluate the relationship of diet and food components with the frequency of migraine attacks.
Material And Methods: Sixty patients (mean age 35.5±8.9 years, 85% women) with frequent episodic (EM) and chronic migraine (CM) were examined. Anamnestic information on food triggers was clarified for all participants. The patients kept a food diary for 7 days. For each meal, the content of food components (proteins, fats and carbohydrates) was calculated using tables and an electronic calculator of the Federal State Budgetary Institution «Nutrition and Biotechnology». Based on the data obtained, the average daily consumption of the main components of food and the ratio of their proportions to each other were calculated. The results of the data analysis were used to clarify the relationship between the individual characteristics of the diet in terms of food components and the severity of migraine.
Results: The main food triggers of migraine were red wine (43.3%), coffee (35.0%), cheeses (21.7%), spices (20.0%), additives of nitrite or monosodium glutamate (20.0%). The average daily intake of carbohydrates had an inverse relationship (0.044, =-0.275), and fats had a direct relationship (0.011, =0.336) with the number of days with migraine.
Conclusion: The results indicate the protective role of carbohydrate consumption in the development of migraine, which may correspond to the compensatory strategy of the body aimed at energy supply to the brain. Further study of the cerebral metabolic aspects of migraine should improve the understanding of its pathophysiology and chronicity, which will allow the formation of a correct diet preventive strategy.
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http://dx.doi.org/10.17116/jnevro202412412130 | DOI Listing |
J Ethnopharmacol
December 2024
Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, PR China, 230038; Institute of Surgery, Anhui Academy of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, Anhui, PR China, 230038. Electronic address:
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December 2024
Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy. Electronic address:
Metabolomics can describe the molecular phenome and may contribute to dissecting the biological processes linked to economically relevant traits in livestock species. Comparative analyses of metabolomic profiles in purebred pigs can provide insights into the basic biological mechanisms that may explain differences in production performances. Following this concept, this study was designed to compare, on a large scale, the plasma metabolomic profiles of two Italian heavy pig breeds (Italian Duroc and Italian Large White) to indirectly evaluate the impact of their different genetic backgrounds on the breed metabolomes.
View Article and Find Full Text PDFJ Food Sci
December 2024
School of Life Science and Engineering, Henan University of Urban Construction, Pingdingshan, China.
This study aimed to investigate the potential of condensed tannins isolated from Cercis chinensis Bunge leaves as natural preservatives for fruits and vegetables. The research demonstrated that C. chinensis leaves condensed tannins (CLCT) significantly delay the browning process and reduce nutritional loss in fresh-cut lotus roots.
View Article and Find Full Text PDFJ Food Sci
December 2024
College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.
As consumers increasingly prioritize food safety and nutritional value, the dairy industry faces a pressing need for rapid and accurate methods to detect essential nutritional components in milk, such as fat, protein, and lactose. Hyperspectral imaging (HSI) technology, known for its non-destructive, fast, and precise nature, shows great promise in food quality assessment. However, the high dimensionality of HSI data poses challenges for effective band selection and model optimization.
View Article and Find Full Text PDFJ Food Sci
December 2024
Faculty of Engineering, Department of Food Engineering, Trakya University, Edirne, Turkey.
This study aimed to examine the extraction of specific phenolic compounds from blackthorn using ultrasound-assisted extraction (UAE) and to evaluate the influence of UAE on the phenolic composition, bioaccessibility, and cytotoxic effect evaluated on ovarian cancer (OVCAR-3 and SKOV-3) and healthy (HaCaT) cell lines. The UAE parameters were optimized by modeling with the response surface method. Temperature, time, and ultrasound amplitude were utilized to determine the optimal extraction conditions.
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