ReviewPLoS computational biology2009
Nutritional systems biology modeling: from molecular mechanisms to physiology.
Review in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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
31 citing papers in PubMed.
- The future backbone of nutritional science: integrating public health priorities with system-oriented precision nutrition.The British journal of nutrition · 2024Review
- A short-term of starvation improved the antioxidant activity and quality of African catfish (Clarias gariepinus).Fish physiology and biochemistry · 2024Article
- Analysis of Hepatic Lipid Metabolism Model: Simulation and Non-Stationary Global Sensitivity Analysis.Nutrients · 2022Article
- Allometric Scaling: Comparison of Interspecies Nutritional Relationships and Requirements.The Journal of nutrition · 2022Article
- Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches.Biomedicines · 2022Review
- Sparse System Identification of Leptin Dynamics in Women With Obesity.Frontiers in endocrinology · 2022Article
- Computational modelling of energy balance in individuals with Metabolic Syndrome.BMC systems biology · 2019Article
- System biology approach intersecting diet and cell metabolism with pathogenesis of brain disorders.Progress in neurobiology · 2018Review
- A comparative genomics study of carbohydrate/glucose metabolic genes: from fish to mammals.BMC genomics · 2018Article
- Article
- Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders.EBioMedicine · 2016Article
- A model qualification method for mechanistic physiological QSP models to support model-informed drug development.CPT: pharmacometrics & systems pharmacology · 2016Article
- Nutritional systems biology of type 2 diabetes.Genes & nutrition · 2015Article
- Virtual patients--what are we talking about? A framework to classify the meanings of the term in healthcare education.BMC medical education · 2015Review
- Systems Medicine: The Application of Systems Biology Approaches for Modern Medical Research and Drug Development.Molecular biology international · 2015Review
- Systems biology approaches for studying the pathogenesis of non-alcoholic fatty liver disease.World journal of gastroenterology · 2014Review
- Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study.Genes & nutrition · 2014Article
- A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics.Systems and synthetic biology · 2014Article
- Consensus statement understanding health and malnutrition through a systems approach: the ENOUGH program for early life.Genes & nutrition · 2014Article
- Virtual Systems Pharmacology (ViSP) software for simulation from mechanistic systems-level models.Frontiers in pharmacology · 2014Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of computational modeling and simulation has increased in many biological fields, but despite their potential these techniques are only marginally applied in nutritional sciences. Nevertheless, recent applications of modeling have been instrumental in answering important nutritional questions from the cellular up to the physiological levels. Capturing the complexity of today's important nutritional research questions poses a challenge for modeling to become truly integrative in the consideration and interpretation of experimental data at widely differing scales of space and time. In this review, we discuss a selection of available modeling approaches and applications relevant for nutrition. We then put these models into perspective by categorizing them according to their space and time domain. Through this categorization process, we identified a dearth of models that consider processes occurring between the microscopic and macroscopic scale. We propose a "middle-out" strategy to develop the required full-scale, multilevel computational models. Exhaustive and accurate phenotyping, the use of the virtual patient concept, and the development of biomarkers from "-omics" signatures are identified as key elements of a successful systems biology modeling approach in nutrition research--one that integrates physiological mechanisms and data at multiple space and time scales.
Indexed as
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What Socratic 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 Socratic graph.