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Seral-Cortes M, Sabroso-Lasa S, Gonzalez-Gross M, Quesada-Gonzalez C, Stehle P, Gottrand F, Marcos A, Esperanza-Diaz L, Manios Y, Androutsos O, Widhalm K, Molnar D, Huybrechts I, Muntaner M, Meirhaeghe A, Salazar-Tortosa D, Ruiz JR, Esteban LM, Labayen I, Moreno LA. The body mass index increases the genetic risk scores' ability to predict risk of hepatic damage in European adolescents: The HELENA study. Eur J Clin Invest 2023; 53:e14081. [PMID: 37608495 DOI: 10.1111/eci.14081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/27/2023] [Accepted: 08/03/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND Hepatic disorders are often complex and multifactorial, modulated by genetic and environmental determinants. During the last years, the hepatic disease has been progressively established from early stages in life. The use of genetic risk scores (GRS) to predict the genetic susceptibility to a particular phenotype among youth has gained interest in recent years. Moreover, the alanine aminotransferase (ALT) blood biomarker is often considered as hepatic screening tool, in combination with imaging techniques. The aim of the present study was to develop an ALT-specific GRS to help in the evaluation of hepatic damage risk in European adolescents. METHODS A total of 972 adolescents (51.3% females), aged 12.5-17.5 years, from the Healthy Lifestyle in Europe by Nutrition in Adolescence study were included in the analyses. The sample incorporated adolescents in all body mass index (BMI) categories and was divided considering healthy/unhealthy ALT levels, using sex-specific cut-off points. From 1212 a priori ALT-related single nucleotide polymorphisms (SNPs) extracted from candidate gene selection, a first screening of 234 SNPs univariately associated was established, selecting seven significant SNPs (p < .05) in the multivariate model. An unweighted GRS (uGRS) was developed by summing the number of reference alleles, and a weighted GRS (wGRS), by multiplying each allele to its estimated coefficient. RESULTS The uGRS and wGRS were significantly associated with ALT (p < .001). The area under curve was obtained integrating BMI as clinical factor, improving the predictive ability for uGRS (.7039) and wGRS (.7035), using 10-fold internal cross-validation. CONCLUSIONS Considering BMI status, both GRSs could contribute as complementary tools to help in the early diagnosis of hepatic damage risk in European adolescents.
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Affiliation(s)
- Miguel Seral-Cortes
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Sergio Sabroso-Lasa
- Genetic and Molecular Epidemiology Group (GMEG), Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Marcela Gonzalez-Gross
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- ImFine Research Group, Department of Health and Human Performance, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, Madrid, Spain
- Institute of Nutritional and Food Sciences, Nutritional Physiology, University of Bonn, Bonn, Germany
| | - Carlos Quesada-Gonzalez
- ImFine Research Group, Department of Health and Human Performance, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, Madrid, Spain
- Department of Applied Mathematics to Information and Communication Technologies, Universidad Politécnica de Madrid, Madrid, Spain
| | - Peter Stehle
- Institute of Nutritional and Food Sciences, Nutritional Physiology, University of Bonn, Bonn, Germany
| | - Frederic Gottrand
- CHU Lille, Inserm U1286 INFINITE, University of Lille, Lille, France
| | - Ascension Marcos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Immunonutrition Group, Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - Ligia Esperanza-Diaz
- Immunonutrition Group, Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science & Education, Harokopio University, Athens, Greece
- Institute of Agri-food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - Odysseas Androutsos
- Lab of Clinical Nutrition and Dietetics, Department of Nutrition and Dietetics, School of Physical Education, Sport Science and Dietetics, University of Thessaly, Trikala, Greece
| | - Kurt Widhalm
- Division of Clinical Nutrition and Prevention, Department of Paediatrics, Medical University of Vienna, Vienna, Austria
- Austrian Academic Institute for Clinical Nutrition, Vienna, Austria
| | - Denes Molnar
- Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- French Network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
| | - Manon Muntaner
- UMR1167, RID-AGE, Risk Factors and Molecular Determinants of Aging-Related Diseases, Centre Hosp, Institut Pasteur de Lille, Université de Lille, Lille, France
| | - Aline Meirhaeghe
- UMR1167, RID-AGE, Risk Factors and Molecular Determinants of Aging-Related Diseases, Centre Hosp, Institut Pasteur de Lille, Université de Lille, Lille, France
| | - Diego Salazar-Tortosa
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, USA
| | - Jonatan R Ruiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), Granada, Spain
- Instituto de Investigación Biosanitaria, ibs.Granada, Granada, Spain
| | | | - Idoia Labayen
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Health Sciences, Public University of Navarra, Pamplona, Spain
| | - Luis A Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
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Weihrauch-Blüher S, Wiegand S, Weihe P, Prinz N, Weghuber D, Leipold G, Dannemann A, Bergjohann L, Reinehr T, Holl RW. Uric acid and gamma-glutamyl-transferase in children and adolescents with obesity: Association to anthropometric measures and cardiometabolic risk markers depending on pubertal stage, sex, degree of weight loss and type of patient care: Evaluation of the adiposity patient follow-up registry. Pediatr Obes 2023; 18:e12989. [PMID: 36336465 DOI: 10.1111/ijpo.12989] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 09/28/2022] [Accepted: 10/03/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVES Associations between body mass index (BMI)- standard deviation score (SDS)/waist-to-height ratio (WHtR) were studied with (i) serum uric acid (sUA)/gamma-glutamyl-transferase (GGT) and (ii) cardiometabolic risk markers in children with obesity, considering sex, pubertal development, and degree of weight loss/type of patient care. METHODS 102 936 children from the Adiposity-Follow-up registry (APV; 47% boys) were included. Associations were analysed between sUA/GGT and anthropometrics, transaminases, lipids, fasting insulin (FI), homeostasis model assessment of insulin resistance (HOMA-IR), triglycerides to HDL-cholesterol (TG/HDL)-ratio. Follow-up analyses (3-24 months after baseline) considered a BMI-SDS reduction ≥0.2 (n = 11 096) or ≥0.5 (n = 3728). Partialized correlation analyses for sex and BMI-SDS were performed, taking pubertal development into consideration. RESULTS At baseline, BMI-SDS showed the strongest correlations to sUA (r = 0.35; n = 26 529), HOMA-IR/FI (r = 0.30; n = 5513 /n = 5880), TG/HDL-ratio (r = 0.23; n = 24 501), and WHtR to sUA (r = 0.32; n = 10 805), GGT (r = 0.34; n = 11 862) and Alanine-aminotransferase (ALAT) (r = 0.33; n = 11 821), with stronger correlations in boys (WHtR and GGT: r = 0.36, n = 5793) and prepubertal children (r = 0.36; n = 2216). GGT and sUA (after partializing effects of age, sex, BMI-SDS) showed a correlation to TG/HDL-ratio (r = 0.27; n = 24 501). Following a BMI-SDS reduction ≥0.2 or ≥0.5, GGT was most strongly related to Aspartate-aminotransferase (ASAT)/ ALAT, most evident in prepuberty and with increasing weight loss, and also to TG/HDL-ratio (r = 0.22; n = 1528). Prepubertal children showed strongest correlations between BMI-SDS/WHtR and GGT. ΔBMI-SDS was strongly correlated to ΔsUA (r = 0.30; n = 4160) and ΔGGT (r = 0.28; n = 3562), and ΔWHtR to ΔGGT (r = 0.28; n = 3562) (all p < 0.0001). CONCLUSION Abdominal obesity may trigger hyperuricemia and hepatic involvement already in prepuberty. This may be stronger in infancy than anticipated to date. Even moderate weight loss has favourable effects on cardiometabolic risk profile and glucose homeostasis.
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Affiliation(s)
- Susann Weihrauch-Blüher
- Clinic for Pediatrics I, Pediatric Endocrinology, University Hospital Halle (Saale), Halle, Germany
| | - Susanna Wiegand
- Center for Social-Pediatric Care/Pediatric Endocrinology and Diabetology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Paul Weihe
- Clinic for Pediatrics I, Pediatric Endocrinology, University Hospital Halle (Saale), Halle, Germany
| | - Nicole Prinz
- Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Daniel Weghuber
- Department of Paediatrics, Paracelsus Medical University, Salzburg, Austria
| | | | - Almut Dannemann
- SANA Hospital Lichtenberg, Center for Social-Pediatric Care, Berlin, Germany
| | - Lara Bergjohann
- Clinic for Pediatrics I, Pediatric Endocrinology, University Hospital Halle (Saale), Halle, Germany
| | - Thomas Reinehr
- Vestische Hospital for Children and Adolescents Datteln, Department of Pediatric Endocrinology, Diabetes and Nutrition Medicine, University of Witten/Herdecke, Datteln, Germany
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
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Tang SY, Tan JS, Pang XZ, Lee GH. Metabolic dysfunction associated fatty liver disease: The new nomenclature and its impact. World J Gastroenterol 2023; 29:549-560. [PMID: 36688021 PMCID: PMC9850940 DOI: 10.3748/wjg.v29.i3.549] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 11/14/2022] [Accepted: 12/23/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND In 2020, an international expert panel proposed a new definition of fatty liver: Metabolic dysfunction-associated fatty liver disease (MAFLD). The MAFLD added the criteria for defining metabolic dysfunctions, which are high-risk factors for liver-related and cardiovascular events. Contrary to the non-alcoholic fatty liver disease (NAFLD) definition, it allows the coexistence of MAFLD and significant alcohol use in the same patient.
AIM To review the existing data that evaluate the clinical profile and long-term outcome difference between the patients identified as MAFLD and NAFLD.
METHODS Databases MEDLINE via PubMed and EMBASE were searched and relevant publications up to June 28, 2022 were assessed. Studies were included if they involved human participants diagnosed with MAFLD.
RESULTS A total of 2324 records were reviewed, of which 1575 duplicate citations were removed. Of the 2324 records screened, 207 articles were excluded, and 542 articles were assessed for their eligibility, for which 511 were excluded. The remaining 31 articles were selected for review. MAFLD diagnostic criteria were able to identify more individuals with fatty liver. Studies have shown that patients included using the MAFLD criteria were associated with higher risks of hepatic fibrosis when compared to NAFLD. All-cause mortality, cardiovascular disease-related, and cancer-related mortality were shown to be higher in MAFLD patients. MAFLD patients also had higher baseline metabolic derangement, and risks of developing obesity, diabetes, and cardiovascular events. Of the 3 subtypes, diabetes mellitus has the strongest association with negative outcomes, followed by metabolic dysfunction and elevated body mass index. Within the subtypes of MAFLD, patients with more metabolic conditions at the time of diagnosis had worse hepatic and liver injury compared to those with a single metabolic condition.
CONCLUSION MAFLD is a new definition of fatty liver disease that is gaining increasing acceptance. It is based on empirical clinical practice on positive inclusion of metabolic risk factors and recent evidence suggests that it helps to identify patients with higher risk for liver-related as well as cardiovascular events.
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Affiliation(s)
- Si-Ying Tang
- Division of Gastroenterology and Hepatology, National University Hospital, Singapore 119228, Singapore
| | - Jian Shiun Tan
- Yong Loo Lin School of Medicine, Singapore 117597, Singapore
| | - Xian-Zheng Pang
- Yong Loo Lin School of Medicine, Singapore 117597, Singapore
| | - Guan-Huei Lee
- Division of Gastroenterology and Hepatology, National University Hospital, Singapore 119228, Singapore
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