hrp0086p1-p823 | Syndromes: Mechanisms and Management P1 | ESPE2016

Effects of a Stressful Environment (SE) on Height, BMI and Menarche

German Alina , Mesch Gustavo , Shmoish Michael , Hochberg Ze'ev

Background: Children’s exposure to stress predicts poor health. Poor growth and maturation are recognized indicators of poor health.Objective and hypotheses: SE correlates with height, BMI and menarche. We correlated seven indicators of SE with countries’ average adult height, BMI and menarche age.Method: Data for 57 countries of average men and women’s height, BMI and menarche age were collected from WHO report. The...

hrp0086rfc4.5 | Pathophysiology of Obesity | ESPE2016

Steroid Metabolomic Signature of Liver Disease in Childhood Obesity

Gawlik Aneta , Shmoish Michael , Hartmann Michaela F. , Malecka-Tendera Ewa , Wudy Stefan A. , Hochberg Ze'ev

Background: Analysis of steroids by gas chromatography-mass spectrometry (GC-MS) defines a subject’s steroidal fingerprint. Here, we compare the steroidal fingerprints of obese children with or without liver disease to identify the ‘steroid metabolomic signature’ of childhood non-alcoholic fatty liver disease.Methods: Urinary samples of 85 children (43 girls) age 8.5–18.0 with obesity (BMI >97%) were quantified for 31 steroid meta...

hrp0084fc12.3 | Obesity - Clinical | ESPE2015

Re-Classification of Childhood Obesity by Steroid Metabolomic Disease Signature

Gawlik Aneta , Shmoish Michael , Hartmann Michaela , Malecka-Tendera Ewa , Wudy Stefan , Hochberg Ze'ev

Context: Analysis of steroids by gas chromatography – mass spectrometry (GC-MS) defines a subject’s ‘steroidal fingerprint’. Here, we clustered steroidal fingerprints to classify childhood obesity by ’steroid metabolomic signatures’.Methods: Urinary samples of 87 children (44 F) age 8.5–18.0 with obesity (BMI >97%) underwent solid phase extraction, enzymatic hydrolysis and derivatization. 31 steroids metabolites wer...

hrp0095rfc7.1 | Growth and Syndromes | ESPE2022

The grandma X-rays-independent height prediction

German Alina , Albertsson-Wikland Kerstin , Shmoish Michael , Rubin Lisa , Niklasson Aimon , Hochberg Ze'ev

Background/Aim: Parents wanting to predict adult height (AH) often resort to the old practice of doubling a boy’s height at age 2 years or a girl’s height at 18 months. We coined this the ’Grandma prediction’ (GMP1). It provides predictions with mean absolute error (MAE) 5.9 and 5.2, standard deviations of residuals (sdRES) 4.1 and 3.6, and Pearson correlation r=0.68 and 0.67 for boys and girls, respectively. The recent sophist...

hrp0095p1-462 | Fat, Metabolism and Obesity | ESPE2022

Energy Trade-Off Score - a novel anthropometric polygenic trait, and related body types

Hochberg Ze'ev , Albertsson-Wikland Kerstin , Privé Florian , Holmgren Anton , Rubin Lisa , German Alina , Shmoish Michael

Background/Aim: The trade-off theory claims that a resource (calorie) stored in adipose tissue cannot be used for longitudinal growth, and a calorie used for growth will not be stored as fat.Methods: Out of 2339 children with longitudinal heights and weights (birth to adulthood) from the GrowUp1990 Gothenburg cohort, 1993 (996 girls) were analyzed. For everyone we calculated Energy Trade-Off Score: ETOS = at early adulth...

hrp0089fc4.5 | GH & IGFs | ESPE2018

Prediction of Adult Height by Artificial Intelligence (AI) through Machine Learning (ML) from Early Height Data

Shmoish Michael , German Alina , Devir Nurit , Hecht Anna , Butler Gary , Niklasson Aimon , Albertsson-Wikland Kerstin , Hochberg Ze'ev

Context: Growth analyses have traditionally been done by either non-structural descriptive statistics or by fitting models. While we usually describe height and weight separately, we assume reciprocity of weight and height on each other. We utilize ML to predict ages 7–18 y height based on height and weight data up to age 6y.Methods: After pre-processing the height and weight, primary and secondary features (height SDS, BMI, growth velocity) of 1596...

hrp0094p2-176 | Fat, metabolism and obesity | ESPE2021

Exploring Urinary Bile Acids as Potential Markers of Metabolism: Reference Values in Children by Targeted LC-MS/MS

Schauermann Marcel , Wang Rong , Hartmann Michaela F. , Remer Thomas , Hua Yifan , Shmoish Michael , Bereket Abdullah , Wasniewska Malgorzata , Hochberg Ze’ev , Gawlik Aneta , Wudy Stefan A. ,

Bile acids (BA) are C24 steroids synthesized from cholesterol in liver. Originally, they were mainly considered to function as emulsifiers supporting resorption of lipophilic food compounds and excretion of metabolic products. Recently, their additional biological and endocrine functions in the regulation of metabolism have aroused interest of researchers. In contrast to BA in blood, it is surprising that hardly any data exist on BA in the most accessible human biof...

hrp0092p1-53 | Fat, Metabolism and Obesity | ESPE2019

Age of Obesity Onset could be the First Indicator of Future Metabolic Complications – Preliminary Data of Prospective Multicenter Study

Gawlik Aneta , Wasniewska Malgorzata , Bereket Abdullah , Antosz Aleksandra , Aversa Tommaso , Corica Domenico , Kirkgoz Tarik , Turan Serap , Guran Tulay , Shmoish Michael , Wudy Stefan A. , Hartmann Michaela F. , Gruszczynska Katarzyna , Hochberg Ze'ev

Context: The unified approach for obese children can result in therapeutic failure as obesity is a symptom of several conditions. It was previously suggested that only children with obesity onset beyond age 6 years will develop the metabolic syndrome and T2D. In turn, early childhood obesity carries a few times less risk of adult obesity comparing to that with the onset during juvenility.Aim: We determine the clinical an...

hrp0094p2-196 | Fat, metabolism and obesity | ESPE2021

Machine Learning Quest for Predictive Markers of Lifestyle Modification Outcomes in Pediatric Obesity Treatment

Gawlik Aneta , Shmoish Michael , Bereket Abdullah , Wasniewska Malgorzata , Antosz Aleksandra , Kırkgoz Tarık , Turan Serap , Guran Tulay , Aversa Tommaso , Corica Domenico , Wudy Stefan A. , Hartmann Michaela F. , Gruszczynska Katarzyna , Hochberg Ze’ev ,

Context: The traditional approach to childhood obesity management is lifestyle modification/LSM. Nevertheless, the response rate is variable and difficult to predict.Aim: A systematic search for markers to predict outcomes of simple LSM in pediatric obesity management.Patients/Methods: Out of 240 children with obesity (BMI>97%), recruited to a prospective ‘multi-OMICS’ study granted b...

hrp0095p1-71 | Fat, Metabolism and Obesity | ESPE2022

Circulating mRNA and miRNA Signatures as Predictive Markers of Lifestyle Modification Outcomes in Pediatric Obesity Treatment

Gawlik Aneta , Shmoish Michael , Bereket Abdullah , Wasniewska Malgorzata , Antosz Aleksandra , Kırkgoz Tarık , Turan Serap , Guran Tulay , Aversa Tommaso , Corica Domenico , A. Wudy Stefan , F. Hartmann Michaela , Hochberg Ze'ev

Context: The response to lifestyle modification (LSM) in children with obesity is variable and difficult to predict.Aim: A systematic search for molecular markers to predict outcomes of LSM in pediatric obesity management.Patients/Methods: Out of 240 children with obesity (BMI>97%) recruited to a prospective ‘multi-OMICS’ study granted by ESPE Research Unit, 159 subj...