Macro partitioning
Overfeeding with saturated fat increases intrahepatic triglycerides (IHTG) and insulin resistance significantly more than overfeeding with unsaturated fat or simple sugars, primarily by stimulating adipose tissue lipolysis and increasing plasma ceramides.
If you are overweight and concerned about liver health, simply reducing calories is important, but the type of fat you eat matters significantly. Replacing saturated fats (found in butter, cheese, fatty meats) with unsaturated fats (found in olive oil, nuts, avocados) may help reduce liver fat accumulation and improve insulin sensitivity, even if total calorie intake remains the same. While simple sugars also increase liver fat, saturated fat appears to be particularly harmful by promoting fat release from body fat stores and increasing inflammatory markers like ceramides.
Overfeeding SAT increased IHTG more (+55%) than UNSAT (+15%, P < 0.05)... SAT induced insulin resistance and endotoxemia and significantly increased multiple plasma ceramides.
Why this rating
Randomized controlled trial with objective metabolic measurements (MRS, clamps) in a controlled setting, though short duration (3 weeks).
Source
Saturated Fat Is More Metabolically Harmful for the Human Liver Than Unsaturated Fat or Simple Sugars
Panu K. Luukkonen et al. · Diabetes Care · 2018
DOI 10.2337/dc18-0071
Related findings · Macro partitioning
- Total daily protein intake of 1.6 g/kg/day is sufficient for maximizing resistance training-induced muscle gains, with an upper confidence interval of 2.2 g/kg/day.Strong
- Resistance exercise training combined with sufficient dietary protein intake acts synergistically to maximize skeletal muscle hypertrophy, with protein intake saturating around 1.6 g/kg/day for general populations and potentially requiring 2.0-2.2 g/kg/day for resistance-trained individuals.Strong
- Trans fats should be completely eliminated from the diet, as they increase LDL cholesterol, decrease HDL cholesterol, and are directly associated with increased coronary risk.Strong
This is one finding among thousands. Every one is graded and traced to its source, so you can see what the evidence actually supports. Browse the research →