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The Paleolithic diet (PaleoDiet) is an allegedly healthy dietary pattern inspired by the consumption of wild foods and animals assumed to be consumed in the Paleolithic era. Despite gaining popularity in the media, different operational definitions of this Paleolithic nutritional intake have been used in research. Our hypothesis is that specific components used to define the PaleoDiet may modulate the association of this diet with several health outcomes. We comprehensively reviewed currently applied PaleoDiet scores and suggested a new score based on the food composition of current PaleoDiet definitions and the theoretical food content of a staple dietary pattern in the Paleolithic age. In a PubMed search up to December 2019, fourteen different PaleoDiet definitions were found. We observed some common components of the PaleoDiet among these definitions although we also found high heterogeneity in the list of specific foods that should be encouraged or banned within the PaleoDiet. Most studies suggest that the PaleoDiet may have beneficial effects in the prevention of cardiometabolic diseases (type 2 diabetes, overweight/obesity, CVD and hyperlipidaemias) but the level of evidence is still weak because of the limited number of studies with a large sample size, hard outcomes instead of surrogate outcomes and long-term follow-up. Finally, we propose a new PaleoDiet score composed of eleven food items, based on a high consumption of fruits, nuts, vegetables, fish, eggs and unprocessed meats (lean meats); and a minimum content of dairy products, grains and cereals, and legumes and practical absence of processed (or ultra-processed) foods or culinary ingredients.

IntroductionDietary components are contributing factors in the development of Nonalcoholic fatty liver disease (NAFLD). The glycaemic index (GI), glycaemic load (GL) and total antioxidant capacity (TAC) have been considered potential dietary tools influencing diet–disease relationships. The aim of this study was to evaluate associations of the dietary GI, GL, TAC and insulin resistance (IR) condition with hepatic fat in NAFLD adults.Material and methods: 112 overweight/obese adults with NAFLD (age: 50.8 ± 9 years old) were included in the trial. Dietary intake was assessed by a validated 137-item food frequency questionnaire (FFQ). Anthropometric, glycemic and lipid profiles, fatty liver quantification by magnetic resonance imaging (MRI) and IR measured by the Homeostatic Model Assessment of IR (HOMA-IR) were assessed at baseline. This study was registered as FLiO: Fatty Liver in Obesity study; NCT03183193.Results: The median of liver fat content by MRI was 6.4 (3.8–10.9) in the recruited population. Participants with higher liver fat content showed significantly increased values of glucose, insulin, HbA1c and HOMA-IR than those with lower liver fat content (p < 0.05). Correlation analyses revealed relevant positive associations of hepatic fat with GI (r = 0.17; p = 0.077) and GL (r = 0.19; p = 0.047). Also, a negative association between liver fat content and TAC (r = -0.22; p = 0.023) was found. Linear regression analyses were used to examine the associations of hepatic fat and dietary quality indicators as well as IR adjusted for potential confounders (sex, age and physical activity). The final models showed that HOMA-IR, GI, GL and TAC were able to explain between 22.4 and 22.8 % (p < 0.001) of the variability of liver fat content.DiscussionThe pathophysiology of NAFLD is thought to be associated with dietary determinants that contribute to metabolic dysregulation such as IR, ectopic liver fat deposition and hepatic damage. In accordance with other authors, we suggest that monitoring GI, GL and TAC may be useful approaches for the dietary treatment of NAFLD since they are related to hepatic fat. Additionally, it is important to highlight the essential role of IR in NAFLD as a key mediator in the development of NAFLD. Certainly, findings of the present study revealed a significant association of hepatic fat accumulation and IR.In summary, GI, GL and TAC are potential markers of diet quality, with an impact on susceptible population at hepatic risk.

IntroductionNon-alcoholic fatty liver disease (NAFLD) is a chronic liver condition, whose prevalence increases in parallel with obesity, diabetes and metabolic syndrome (MetS) rates. The aim of the study was to investigate the relationships between the triglyceride glucose-body mass index (TyG-BMI) with lifestyle, dietary variables, and metabolic risk factors linked to NAFLD in subjects diagnosed with MetS.Materials and methodsA baseline cross-sectional study on 331 participants (aged 65.8 ± 5.1 years) recruited in Navarra was conducted. Subjects were stratified by tertiles of the TyG-BMI index. Dietetic, Mediterranean diet adherence (MedDiet-17 points) and physical activity data were assessed through validated questionnaires. Sociodemographic, lifestyle, anthropometric and biochemical parameters were also recoreded. The Cockcroft-Gault equation was performed to estimate clearance of creatinine. For comparisons between TyG-BMI tertiles and several variables, ANCOVA and chi-square test analyses were performed.ResultsSubjects in T3 of TyG-BMI index were more likely to have diabetes (50.9%). Interestingly, physical activity decreases across tertiles (p = 0.030). There were no differences between tertiles in energy intake and MedDiet adherence. However, total meat consumption is highest in T3. ANCOVA test after adjustment for potential confounders revealed that participants in T3 showed more several clinical and metabolic alterations. Moreover, ALT (p = 0.002) and GGT (p = 0.047) levels increased and mean corpuscular volume decreased across tertiles of the TyG-BMI index.DiscussionObesity, MetS and insulin resistance (IR) play a key role in the development of NAFLD promoting lipotoxicity and overproduction of proinflammatory mediators. This state induces hepatic steatosis and liver injury. Some studies suggest TyG-BMI index as a surrogate marker of IR and risk to NAFLD(1). In our study, patients in the highest TyG-BMI tertile showed more adverse cardio-metabolic profile, lower physical activity and higher total meat intake. In summary, the TyG-BMI index could be a simple and reliable marker to characterize the risk of NAFLD among individuals diagnosed with MetS.

Introduction:Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease in Western countries and is strongly associated with obesity and insulin resistance-related comorbidities. Moreover, there is some evidence of a relationship between NAFLD and depression. The aim of this study was to compare the effect of two personalized energy-restricted diets on liver fat and depressive symptoms in overweight or obese subjects with NAFLD after a 6-month follow-up.Materials and methods:Ninety-eight overweight or obese adults with NAFLD were enrolled and randomized to follow one of two different personalized energy-restricted diets (American Heart Association vs. FLiO diet) accompanied by healthy lifestyle advice. Study registered as FLiO: Fatty Liver in Obesity; NCT03183193. Anthropometry, body composition, biochemical features and liver status were assessed at baseline and after a 6-month follow-up. Liver fat was evaluated by Magnetic Resonance Imaging and depressive symptoms using the Beck's Depression Inventory-II (BDI-II).Results:Participants of both groups showed significant reductions in body weight, total fat mass, glucose, insulin and alanine aminotransferase (p < 0.001 for all these parameters in both groups). A significant decrease in liver fat (p < 0.001 in both groups) and depressive symptoms (p < 0.01 in both groups) was observed after the follow-up. The effects of the intervention in the evaluated variables did not differ when both diets were compared. Consequently, the two groups were considered together as one sample for the further analyses. Correlation analyses evidenced a positive association between the decrease in depressive symptoms and the reduction in body weight (r = 0.241; p = 0.044) and liver fat (r = 0.251; p = 0.046).Discussion:Previous studies have reported that the prevalence of depression in patients with chronic liver disease (including NAFLD) is higher than in the general population and that major depressive disorder is associated with more severe hepatic steatosis and with worse outcomes in the treatment of NAFLD subjects. In our study, both healthy personalized energy-restricted diets were able to improve metabolic parameters, liver fat content and depressive symptoms in overweight and obese participants with NAFLD. To our knowledge, this is the first study to report an association between the changes in depressive symptoms and the decrease in liver fat after a dietary randomized controlled trial. Further investigation is needed to clarify the relationship between depression and the development and treatment of NAFLD.