Trial reportPLoS computational biology2011
Transcriptomic coordination in the human metabolic network reveals links between n-3 fat intake, adipose tissue gene expression and metabolic health.
Trial report in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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
18 citing papers in PubMed, 34 citations in OpenAlex.
- Trial
- Omega-3 fatty acids as regulators of brown/beige adipose tissue: from mechanisms to therapeutic potential.Journal of physiology and biochemistry · 2020Review
- Challenges in Personalized Nutrition and Health.Frontiers in nutrition · 2018Article
- Matrix Integrative Analysis (MIA) of Multiple Genomic Data for Modular Patterns.Frontiers in genetics · 2018Article
- Gene-metabolite profile integration to understand the cause of spaceflight induced immunodeficiency.NPJ microgravity · 2018Article
- Nutrigenomics, the Microbiome, and Gene-Environment Interactions: New Directions in Cardiovascular Disease Research, Prevention, and Treatment: A Scientific Statement From the American Heart Association.Circulation. Cardiovascular genetics · 2016Review
- Adipose tissue RNASeq reveals novel gene-nutrient interactions following n-3 PUFA supplementation and evoked inflammation in humans.The Journal of nutritional biochemistry · 2016Article
- Effect of a diet enriched with omega-6 and omega-3 fatty acids on the pig liver transcriptome.Genes & nutrition · 2016Article
- System model network for adipose tissue signatures related to weight changes in response to calorie restriction and subsequent weight maintenance.PLoS computational biology · 2015Article
- Genetic associations with micronutrient levels identified in immune and gastrointestinal networks.Genes & nutrition · 2014Article
- Consensus statement understanding health and malnutrition through a systems approach: the ENOUGH program for early life.Genes & nutrition · 2014Article
- CDKN2B expression in adipose tissue of familial combined hyperlipidemia patients.Journal of lipid research · 2013Article
- Perspective: a systems approach to diabetes research.Frontiers in genetics · 2013Review
- Muscle-specific Pikfyve gene disruption causes glucose intolerance, insulin resistance, adiposity, and hyperinsulinemia but not muscle fiber-type switching.American journal of physiology. Endocrinology and metabolism · 2013Article
- Novel insights into obesity and diabetes through genome-scale metabolic modeling.Frontiers in physiology · 2013Article
- A novel approach for biomarker selection and the integration of repeated measures experiments from two assays.BMC bioinformatics · 2012Article
- Review
- Determinants of human adipose tissue gene expression: impact of diet, sex, metabolic status, and cis genetic regulation.PLoS genetics · 2012Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the molecular link between diet and health is a key goal in nutritional systems biology. As an alternative to pathway analysis, we have developed a joint multivariate and network-based approach to analysis of a dataset of habitual dietary records, adipose tissue transcriptomics and comprehensive plasma marker profiles from human volunteers with the Metabolic Syndrome. With this approach we identified prominent co-expressed sub-networks in the global metabolic network, which showed correlated expression with habitual n-3 PUFA intake and urinary levels of the oxidative stress marker 8-iso-PGF(2α). These sub-networks illustrated inherent cross-talk between distinct metabolic pathways, such as between triglyceride metabolism and production of lipid signalling molecules. In a parallel promoter analysis, we identified several adipogenic transcription factors as potential transcriptional regulators associated with habitual n-3 PUFA intake. Our results illustrate advantages of network-based analysis, and generate novel hypotheses on the transcriptomic link between habitual n-3 PUFA intake, adipose tissue function and oxidative stress.
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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.