An extended fatty liver index to predict non-alcoholic fatty liver disease

Kantartzis, Kοnstantinos; Rettig, Ingo; Staiger, Harald; Machann, Jürgen; Schick, Fritz; Scheja, Ludger; Gastaldelli, Amalia; Bugianesi, Elisabetta; Schulze, Matthias B.; Fritsche, Andreas; Häring, HU; Stefan, Norbert

doi:10.1016/j.diabet.2016.11.006

Cited by 25 publications

(19 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, a very recent study proposed the extended FLI which significantly improves the power of the FLI to predict NAFLD [31]. Namely, the authors demonstrated that the fold-change of plasma triglycerides during a 2 h oral glucose tolerance test and 2 h glucose levels, together with the rs738409 C > G single nucleotide polymorphism in PNPLA3 may improve the power of the widely used FLI for NAFLD prediction.…”

Section: Discussionmentioning

confidence: 99%

Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus

Klisić

Isaković

Kocić

et al. 2017

Exp Clin Endocrinol Diabetes

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus

Klisić

Isaković

Kocić

et al. 2017

Exp Clin Endocrinol Diabetes

View full text Add to dashboard Cite

show abstract

“…Interestingly, the RESMENA diet had a positive effect on body weight by reducing android fat mass—a body region which has been commonly associated with hepatic steatosis [ 24 ]. On the other hand, current research has focused on identifying biomarkers to predict NASH or NAFLD [ 25 , 26 ]. In this context, Bedogni et al (2006) designed a simple scoring system named FLI which includes TG, GGT, BMI, and WC, and it is easily calculated [ 12 ].…”

Section: Discussionmentioning

confidence: 99%

Fruit Fiber Consumption Specifically Improves Liver Health Status in Obese Subjects under Energy Restriction

et al. 2017

View full text Add to dashboard Cite

The prevalence of non-alcoholic-fatty-liver-disease (NAFLD) is associated with obesity, diabetes, and metabolic syndrome (MS). This study aimed to evaluate the influence of two energy-restricted diets on non-invasive markers and scores of liver damage in obese individuals with features of MS after six months of follow-up and to assess the role of fiber content in metabolic outcomes. Seventy obese individuals from the RESMENA (Reduction of Metabolic Syndrome in Navarra) study were evaluated at baseline and after six months of energy-restricted nutritional intervention (American Heart Association (AHA) and RESMENA dietary groups). Dietary records, anthropometrical data, body composition by dual energy X-ray absorptiometry (DXA), and routine laboratory measurements were analyzed by standardized methods. Regarding liver status, cytokeratin-18 fragments and several non-invasive scores of fatty liver were also assessed. The RESMENA strategy was a good and complementary alternative to AHA for the treatment of obesity-related comorbidities. Participants with higher insoluble fiber consumption (≥7.5 g/day) showed improvements in fatty liver index (FLI), hepatic steatosis index (HIS), and NAFLD liver fat score (NAFLD_LFS), while gamma-glutamyl transferase (GGT) and transaminases evidenced significant improvements as a result of fruit fiber consumption (≥8.8 g/day). Remarkably, a regression model evidenced a relationship between liver status and fiber from fruits. These results support the design of dietary patterns based on the consumption of insoluble fiber and fiber from fruits in the context of energy restriction for the management of obese patients suffering fatty liver disease.

show abstract

“…The FLI score, for example, is widely used as a predictor for NAFLD and metabolic syndrome [21,22] and for evaluating the effect of different treatment methods [23]. However, the FLI is still under investigation, and researchers continue to adjust how it is calculated to further improve the reliability [24]. Since the FLI also contains waist circumference, it is at risk for the abovementioned sources of error.…”

Section: Discussionmentioning

confidence: 99%

3D Optical Imaging as a New Tool for the Objective Evaluation of Body Shape Changes After Bariatric Surgery

et al. 2020

View full text Add to dashboard Cite

Introduction Bariatric surgery is the most effective treatment option for obesity. It results in massive weight loss and improvement of obesity-related diseases. At the same time, it leads to a drastic change in body shape. These body shape changes are mainly measured by two-dimensional measurement methods, such as hip and waist circumference. These measurement methods suffer from significant measurement errors and poor reproducibility. Here, we present a threedimensional measurement tool of the torso that can provide an objective and reproducible source for the detection of body shape changes after bariatric surgery. Material and Methods In this study, 25 bariatric patients were scanned with Artec EVA®, an optical three-dimensional mobile scanner up to 1 week before and 6 months after surgery. Data were analyzed, and the volume of the torso, the abdominal circumference and distances between specific anatomical landmarks were calculated. The results of the processed three-dimensional measurements were compared with clinical data concerning weight loss and waist circumference. Results The volume of the torso decreased after bariatric surgery. Loss of volume correlated strongly with weight loss 6 months after the operation (r = 0.6425, p = 0.0005). Weight loss and three-dimensional processed data correlated better (r = 0.6121, p = 0.0011) than weight loss and waist circumference measured with a measuring tape (r = 0.3148, p = 0.1254). Conclusion Three-dimensional imaging provides an objective and reproducible source for the detection of body shape changes after bariatric surgery. We recommend its use for the evaluation of central obesity, particularly for research issues and body imaging before and after bariatric surgery.

show abstract

An extended fatty liver index to predict non-alcoholic fatty liver disease

Abstract: This study has provided novel data confirming that the OGTT-derived fold-change TG and 2-h glucose level, together with the rs738409 C>G SNP in PNPLA3, allow calculation of an extended FLI that considerably improves its power to predict NAFLD.

Cited by 25 publications

References 42 publications

Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus

Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus

Fruit Fiber Consumption Specifically Improves Liver Health Status in Obese Subjects under Energy Restriction

3D Optical Imaging as a New Tool for the Objective Evaluation of Body Shape Changes After Bariatric Surgery

Contact Info

Product

Resources

About