Talks
Presentation Type
Oral Presentation
Discipline Track
Clinical Science
Abstract Type
Research/Clinical
Abstract
Introduction: Previous studies have indicated the consumption of fiber-rich food rich can decrease glucose levels. Additionally, fat infiltration is a common finding in people with type 2 diabetes Mellitus (T2D) and may contribute to metabolic imbalances. However, there needs to be more research investigating the combined effects of fiber intake and liver fat infiltration on glucose levels. In this study, we aimed to analyze the impact of fiber-rich foods on glucose levels, considering the scores of liver fat infiltration.
Methods: After obtaining written consent was approved by the UAT IRB, the participants (relatives of students) were invited at 7 am for anthropometry, blood was drawn for biochemistry measurements, complete fill questionnaires of food preferences and perform elastography (Fibroscan®, ELF). Factor analysis for five groups of food preferences questionnaire was computed with a Varimax rotation. Two factors were obtained: F1 vegetables, F2 pulsars, integral bread, and F3 fruits. A non-parametric kernel regression was performed to analyze the glucose levels (dependent variable) by food rich in fiber adjusted by stages of liver fat infiltration. The 95%CI of the coefficients was calculated with 100 bootstrap repetitions.
Results: We included 234 participants (females 68%) with lipid panel and ELF. The CAP score 0 was 65% (152/234), score 1 was 9% (n=22), score 2 was 12% (n=28), and score 3 was 14% (n=32). The kernel regression supported the presence of score class associated to an increase in levels of glucose: For the levels of fat infiltration, the coefficients were S0= 100.9 (95%CI 94.8, 109.4), S1= 105.2 (96.9, 112.9), S2= 113.4 (101.8, 124.8), and S3= 116.6 (107.6, 128.3) mg/dL. When we added the F2, had observed better glucose control for people with diabetes despite the CAP score. The final model suggested the high ingestion of fiver beneficially affects glucose levels despite the CAP score. The model explained about 15% of the variance of glucose concentration.
Conclusions: These preliminary findings provide valuable insights into the effects of fatty liver and metabolic conditions. The amount of fiber in food (factor 2) interacts with the degree of fatty liver infiltration, affecting glucose excursions. As liver fat increases, glucose levels also rise, but there is a significant decrease in glucose levels in the presence of high fiber intake. This study represents a crossover design, and future research incorporating controlled diets and longitudinal follow-ups will further elucidate these relationships.
Recommended Citation
Mendez-Ramirez, Mariana S.; Munguia-Cisneros, Claudia X.; Cantu-Martinez, Alma Alejandra; Hernandez-Ahumada, Mara Itzel; Balandrano-Cantu, Enyli; De Leon-Sanchez, Laura Sheila; Chavez-Acosta, Samuel Elian; Santos-Vega, Alejandra Yazmin; Sanchez-Diaz, Amairani; Vega-Saldierna, Evelyn Poleth; Perez-Mar, Adela; Ramirez-Pfeiffer, Carlos; and Lopez-Alvarenga, Juan, "Impact of Fiber-Rich Foods on Glucose Levels in Relation to Liver Fat Infiltration: Preliminary results." (2024). Research Symposium. 12.
https://scholarworks.utrgv.edu/somrs/2023/talks/12
Included in
Impact of Fiber-Rich Foods on Glucose Levels in Relation to Liver Fat Infiltration: Preliminary results.
Introduction: Previous studies have indicated the consumption of fiber-rich food rich can decrease glucose levels. Additionally, fat infiltration is a common finding in people with type 2 diabetes Mellitus (T2D) and may contribute to metabolic imbalances. However, there needs to be more research investigating the combined effects of fiber intake and liver fat infiltration on glucose levels. In this study, we aimed to analyze the impact of fiber-rich foods on glucose levels, considering the scores of liver fat infiltration.
Methods: After obtaining written consent was approved by the UAT IRB, the participants (relatives of students) were invited at 7 am for anthropometry, blood was drawn for biochemistry measurements, complete fill questionnaires of food preferences and perform elastography (Fibroscan®, ELF). Factor analysis for five groups of food preferences questionnaire was computed with a Varimax rotation. Two factors were obtained: F1 vegetables, F2 pulsars, integral bread, and F3 fruits. A non-parametric kernel regression was performed to analyze the glucose levels (dependent variable) by food rich in fiber adjusted by stages of liver fat infiltration. The 95%CI of the coefficients was calculated with 100 bootstrap repetitions.
Results: We included 234 participants (females 68%) with lipid panel and ELF. The CAP score 0 was 65% (152/234), score 1 was 9% (n=22), score 2 was 12% (n=28), and score 3 was 14% (n=32). The kernel regression supported the presence of score class associated to an increase in levels of glucose: For the levels of fat infiltration, the coefficients were S0= 100.9 (95%CI 94.8, 109.4), S1= 105.2 (96.9, 112.9), S2= 113.4 (101.8, 124.8), and S3= 116.6 (107.6, 128.3) mg/dL. When we added the F2, had observed better glucose control for people with diabetes despite the CAP score. The final model suggested the high ingestion of fiver beneficially affects glucose levels despite the CAP score. The model explained about 15% of the variance of glucose concentration.
Conclusions: These preliminary findings provide valuable insights into the effects of fatty liver and metabolic conditions. The amount of fiber in food (factor 2) interacts with the degree of fatty liver infiltration, affecting glucose excursions. As liver fat increases, glucose levels also rise, but there is a significant decrease in glucose levels in the presence of high fiber intake. This study represents a crossover design, and future research incorporating controlled diets and longitudinal follow-ups will further elucidate these relationships.