ArticleGenes & nutrition2014
Influence of dietary pattern, physical activity, and I148M PNPLA3 on steatosis severity in at-risk adolescents.
Article in Genes & nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- Progress and hotspot of diet or exercise therapy in the treatment of non-alcoholic fatty liver disease.Frontiers in nutrition · 2024Pooled it
- Genetics of MASLD: a diabetes perspective.Diabetologia · 2026Review
- Association of Genetic Variants inInternational journal of molecular sciences · 2026Article
- Genetic Impacts on Variability of Body Fat Distribution Uncover Gene-Environment and Gene-Gene Interactions.bioRxiv : the preprint server for biology · 2026Article
- Genetic and non-genetic drivers of histological progression and regression in MASLD.Journal of hepatology · 2026Article
- Genomic Signatures of MASLD: How Genomics Is Redefining Our Understanding of Metabolic Liver Disease.International journal of molecular sciences · 2025Review
- Human genetics of steatotic liver disease: insights into insulin resistance and lipid metabolism.Nature metabolism · 2025Review
- Fifteen Years of PNPLA3: Transforming Hepatology Through Human Genetics.Liver international : official journal of the International Association for the Study of the Liver · 2025Review
- Nutrients as epigenetic modulators in metabolic dysfunction-associated steatotic liver disease.World journal of hepatology · 2025Review
- Human genetics of metabolic dysfunction-associated steatotic liver disease: from variants to cause to precision treatment.The Journal of clinical investigation · 2025Review
- PNPLA3 I148M Interacts With Environmental Triggers to Cause Human Disease.Liver international : official journal of the International Association for the Study of the Liver · 2025Review
- Oxidative gaseous air pollutant exposure interacts with PNPLA3-I148M genotype to influence liver fat fraction and multi-omics profiles in young adults.Environmental pollution (Barking, Essex : 1987) · 2025Article
- Genetic risk accentuates dietary effects on hepatic steatosis, inflammation and fibrosis in a population-based cohort.Journal of hepatology · 2024Article
- PNPLA3 is a triglyceride lipase that mobilizes polyunsaturated fatty acids to facilitate hepatic secretion of large-sized very low-density lipoprotein.Nature communications · 2024Article
- Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) and Thyroid Function in Childhood Obesity: A Vicious Circle?Children (Basel, Switzerland) · 2024Review
- Nutritional Interventions, Probiotics, Synbiotics and Fecal Microbiota Transplantation in Steatotic Liver Disease : Pediatric Fatty Liver and Probiotics.Advances in experimental medicine and biology · 2024Review
- Nutrigenetic Interaction Between Apolipoprotein C3 Polymorphism and Fat Intake in People with Nonalcoholic Fatty Liver Disease.Current developments in nutrition · 2023Article
- Nutritional Genomics in Nonalcoholic Fatty Liver Disease.Biomedicines · 2023Review
- Review
- Ethnic disparities in liver fat accumulation in school-aged children.Obesity (Silver Spring, Md.) · 2022Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence relating dietary patterns to obesity and related disorders such as non-alcoholic fatty liver disease (NAFLD) is limited in pediatric age. Aim of this study was to analyze the association between dietary patterns, obesity and development of severe steatosis and the metabolic syndrome in a series of children and adolescents referred for suspected NAFLD, and the interaction with the rs738409 I148M PNPLA3 polymorphism. Two hundred patients (112 females) had completed a food frequency and demographic questionnaire. Nearly 58 % were obese, and 32 % were overweight. Mild, moderate, and severe fatty liver was present in 60 (30 %), 87 (44 %), and 51 (26 %) participants, respectively. A great proportion of overweight/obese children and adolescents reported a correct dietary pattern. At multivariate ordinal regression analysis considering demographic, anthropometric, genetic, and behavioral determinants, the major determinant of steatosis severity was PNPLA3 I148M genotype (p < 0.0001), followed by older age (p = 0.017), higher waist circumference (p = 0.016), and less time spent practising physical exercise (p = 0.034). Furthermore, there was a significant interaction between PNPLA3 I148M and intake of sweetened beverages (p = 0.033) and of vegetables (p = 0.038). In conclusion, although dietary pattern was reportedly correct in at-risk overweight adolescents with NAFLD, we report a novel interaction between PNPLA3 I148M and dietary components with the severity of steatosis.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.