Angiopoietin-like 8 (ANGPTL8) as a potential predictor of NAFLD in paediatric patients with Prader-Willi Syndrome

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Purpose

Angiopoietin-like 8 (ANGPTL8) is a liver- and adipose tissue-produced protein that predicts non-alcoholic fatty liver disease (NAFLD) and altered metabolic homeostasis in the general population as well as in persons with common and genetic obesity, including the Prader–Willi syndrome (PWS). However, its metabolic correlate in paediatric patients with respect to PWS is unknown.

Methods

This cross-sectional study investigated circulating ANGPTL8 and adipocytokines levels in 28 PWS and 28 age-, sex- and BMI-matched children and adolescents (age, 7.0–17.8y) in relation to NAFLD and metabolic homeostasis assessed by OGTT, paediatric metabolic index (PMI) and fatty liver index (FLI), liver ultrasonography (US), as well as dual-energy X-ray absorptiometry (DEXA) for analysis of fat (FM) and fat-free mass (FFM).

Results

At the set level of significance, PWS children showed lower values of FFM ( p < 0.01) but healthier insulin profiles ( p < 0.01) and PMI values ( p < 0.05) than matched controls. By US, the prevalence of NAFLD was similar between groups but less severe in PWS than controls. Analysis of ANGPTL8 levels showed no difference between groups, yet only in PWS ANGPTL8 levels were associated with ALT levels, FLI values and NAFLD. In stepwise multivariable regression analysis on merged data, ANGPTL8 levels were independently predicted by BMI SDS, leptin levels and NAFLD.

Conclusion

ANGPTL8 levels are similar in PWS and controls and, overall, they are directly associated with the presence and severity of NAFLD in patients with PWS.

Related collections

Most cited references 51

Record: found
Abstract: not found
Article: not found

The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases.

Naga Chalasani, Zobair Younossi, Joel E Lavine … (2018)

0 comments Cited 2038 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

D. Matthews, J Hosker, A Rudenski … (1985)

The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees beta-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient beta-cell function to the fasting hyperglycaemia (homeostasis model assessment, HOMA). The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and beta-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test. The estimate of insulin resistance obtained by homeostasis model assessment correlated with estimates obtained by use of the euglycaemic clamp (Rs = 0.88, p less than 0.0001), the fasting insulin concentration (Rs = 0.81, p less than 0.0001), and the hyperglycaemic clamp, (Rs = 0.69, p less than 0.01). There was no correlation with any aspect of insulin-receptor binding. The estimate of deficient beta-cell function obtained by homeostasis model assessment correlated with that derived using the hyperglycaemic clamp (Rs = 0.61, p less than 0.01) and with the estimate from the intravenous glucose tolerance test (Rs = 0.64, p less than 0.05). The low precision of the estimates from the model (coefficients of variation: 31% for insulin resistance and 32% for beta-cell deficit) limits its use, but the correlation of the model's estimates with patient data accords with the hypothesis that basal glucose and insulin interactions are largely determined by a simple feed back loop.

0 comments Cited 1740 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: found

Is Open Access

The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population

Giorgio Bedogni, Stefano Bellentani, Lucia Miglioli … (2006)

Background Fatty liver (FL) is the most frequent liver disease in Western countries. We used data from the Dionysos Nutrition & Liver Study to develop a simple algorithm for the prediction of FL in the general population. Methods 216 subjects with and 280 without suspected liver disease were studied. FL was diagnosed by ultrasonography and alcohol intake was assessed using a 7-day diary. Bootstrapped stepwise logistic regression was used to identify potential predictors of FL among 13 variables of interest [gender, age, ethanol intake, alanine transaminase, aspartate transaminase, gamma-glutamyl-transferase (GGT), body mass index (BMI), waist circumference, sum of 4 skinfolds, glucose, insulin, triglycerides, and cholesterol]. Potential predictors were entered into stepwise logistic regression models with the aim of obtaining the most simple and accurate algorithm for the prediction of FL. Results An algorithm based on BMI, waist circumference, triglycerides and GGT had an accuracy of 0.84 (95%CI 0.81–0.87) in detecting FL. We used this algorithm to develop the "fatty liver index" (FLI), which varies between 0 and 100. A FLI < 30 (negative likelihood ratio = 0.2) rules out and a FLI ≥ 60 (positive likelihood ratio = 4.3) rules in fatty liver. Conclusion FLI is simple to obtain and may help physicians select subjects for liver ultrasonography and intensified lifestyle counseling, and researchers to select patients for epidemiologic studies. Validation of FLI in external populations is needed before it can be employed for these purposes.

0 comments Cited 649 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

P. Marzullo:

ORCID: http://orcid.org/0000-0003-3215-5747

paolo.marzullo@med.uniupo.it

Journal

Journal ID (nlm-ta): J Endocrinol Invest

Journal ID (iso-abbrev): J Endocrinol Invest

Title: Journal of Endocrinological Investigation

Publisher: Springer International Publishing (Cham )

ISSN (Print): 0391-4097

ISSN (Electronic): 1720-8386

Publication date (Electronic): 16 October 2020

Publication date PMC-release: 16 October 2020

Publication date (Print): 2021

Volume: 44

Issue: 7

Pages: 1447-1456

Affiliations

[1 ]GRID grid.16563.37, ISNI 0000000121663741, Division of Endocrinology, Department of Translational Medicine, , University of Piemonte Orientale, ; Novara, Italy

[2 ]GRID grid.418224.9, ISNI 0000 0004 1757 9530, Division of General Medicine, , Istituto Auxologico Italiano, IRCCS, San Giuseppe Hospital, ; Piancavallo, Verbania, Italy

[3 ]GRID grid.414125.7, ISNI 0000 0001 0727 6809, Reference Center for Prader-Willi Syndrome, , Bambino Gesù Children’s Hospital, Research Institute, ; Palidoro (Rome), Italy

[4 ]GRID grid.418224.9, ISNI 0000 0004 1757 9530, Laboratory of Metabolic Research, , Istituto Auxologico Italiano, IRCCS, San Giuseppe Hospital, ; Piancavallo, Verbania, Italy

[5 ]GRID grid.414125.7, ISNI 0000 0001 0727 6809, Radiology Unit, , Bambino Gesù Children’s Hospital, Research Institute, ; Palidoro (Rome), Italy

[6 ]GRID grid.418224.9, ISNI 0000 0004 1757 9530, Division of Auxology and Metabolic Diseases, , Istituto Auxologico Italiano, IRCCS, San Giuseppe Hospital, ; Piancavallo, Verbania, Italy

Author information

P. Marzullo http://orcid.org/0000-0003-3215-5747

Article

Publisher ID: 1444

DOI: 10.1007/s40618-020-01444-w

PMC ID: 8195791

PubMed ID: 33067796

SO-VID: 3d14b604-5e7e-4a50-84b3-8875407f7cdb

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

History

Date received : 27 May 2020

Date accepted : 6 October 2020

Funding

Funded by: Università degli Studi del Piemonte Orientale Amedeo Avogrado

Open Access :

Open access funding provided by Università degli Studi del Piemonte Orientale Amedeo Avogrado within the CRUI-CARE Agreement.

Custom metadata

Keywords: angptl8,prader–willi syndrome,nafld

Data availability:

Keywords: angptl8, prader–willi syndrome, nafld

Comments

Comment on this article

scite_

Cited by 4

See all cited by

Most referenced authors 1,126

See all reference authors

Angiopoietin-like 8 (ANGPTL8) as a potential predictor of NAFLD in paediatric patients with Prader-Willi Syndrome

Read this article at

Abstract

Purpose

Methods

Results

Conclusion

Related collections

Cures Within Reach: Autoimmune Lymphoproliferative Syndrome (ALPS)

Most cited references 51

The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases.

Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population

Author and article information

Contributors

Journal

Affiliations

Author information

Article

History

Funding

Categories

Custom metadata

Comments

Comment on this article

Similar content 852

Cited by 4

Most referenced authors 1,126