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Updated: Jun 3, 2025

Optimized Analysis of In Vivo and In Vitro Hepatic Steatosis
Published on: March 11, 2017
A Very Low-Carbohydrate Program in Adults With Metabolic Dysfunction-Associated Steatotic Liver Disease and
Laura R Saslow1, Jamie Krinock1, Alison O'Brien1
1Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, United States.
A very low-carbohydrate (VLC) diet intervention shows promise for reducing liver fat and weight in individuals genetically predisposed to metabolic dysfunction-associated steatotic liver disease. The study highlights the diet
Area of Science:
- Metabolic health and genetic predisposition.
- Nutritional interventions for liver disease.
Background:
- Insulin resistance and the rs738409 G allele increase the risk of metabolic dysfunction-associated steatotic liver disease (MASLD).
- Genetic factors play a role in MASLD development.
Purpose of the Study:
- To investigate the efficacy of a very low-carbohydrate (VLC) dietary pattern in reducing insulin resistance.
- To assess the impact of a VLC diet on liver steatosis and metabolic markers in at-risk individuals.
Main Methods:
- Adults with the rs738409-GG or -CG genotype, liver steatosis, and elevated liver function tests received a 4-month VLC diet intervention.
- Intervention included education on VLC eating, mindful eating, goal setting, and self-monitoring with coaching.
- Measurements included liver steatosis, anthropometrics, serum metabolic markers, diet adherence, and quality of life.
Main Results:
- High intervention satisfaction was reported, with many participants intending to continue the VLC diet.
- Adherent participants showed a significant reduction in liver fat (53.12%).
- All participants achieved significant weight loss (≥5%), and 75% met responder criteria for liver fat reduction.
Conclusions:
- The VLC dietary intervention appears feasible, acceptable, and demonstrates preliminary efficacy in adults at genetic risk for MASLD.
- Further research is warranted due to the small sample size and potential for bias in this pilot study.
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