ReviewComputational and structural biotechnology journal2015
Computationally Modeling Lipid Metabolism and Aging: A Mini-review.
Review in Computational and structural biotechnology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Plasma lipidome variation during the second half of the human lifespan is associated with age and sex but minimally with BMI.PloS one · 2019Trial
- Biosociodemographic, Anthropometric, and Laboratory Profiles Associated with the Risk of Developing Chronic Kidney Disease Among Older Adults Living in Quilombola Communities: A Cross-sectional Study.Journal of immigrant and minority health · 2026Article
- Plasma triacylglycerol length and saturation level mark healthy aging groups in humans.GeroScience · 2025Article
- Association between FIB-4 index and lower extremity arterial disease in MASLD patients: a cross-sectional study.Lipids in health and disease · 2025Article
- LipidSIM: Inferring mechanistic lipid biosynthesis perturbations from lipidomics with a flexible, low-parameter, Markov modeling framework.Metabolic engineering · 2024Article
- Life's Essential 8: Optimizing Health in Older Adults.JACC. Advances · 2023Article
- Article
- Machine Learning and Hybrid Methods for Metabolic Pathway Modeling.Methods in molecular biology (Clifton, N.J.) · 2023Review
- The Interplay between Finasteride-Induced Androgen Imbalance, Endoplasmic Reticulum Stress, Oxidative Stress, and Liver Disorders in Paternal and Filial Generation.Biomedicines · 2022Review
- Altered Basal Lipid Metabolism Underlies the Functional Impairment of Naive CD8Journal of immunology (Baltimore, Md. : 1950) · 2022Article
- A quantitative systems pharmacology modeling platform for evaluating triglyceride profiles in patients with high triglycerides receiving evinacumab.CPT: pharmacometrics & systems pharmacology · 2021Article
- Brain aging and garbage cleaning : Modelling the role of sleep, glymphatic system, and microglia senescence in the propagation of inflammaging.Seminars in immunopathology · 2020Review
- Trends in LDL-C and Non-HDL-C Levels with Age.Aging and disease · 2020Article
- Cholesterol Homeostasis: An In Silico Investigation into How Aging Disrupts Its Key Hepatic Regulatory Mechanisms.Biology · 2020Article
- Reactive oxygen species-induced changes in glucose and lipid metabolism contribute to the accumulation of cholesterol in the liver during aging.Aging cell · 2019Article
- A review of inflammatory mechanism in airway diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2019Review
- Hallmarks of Aging in the Liver.Computational and structural biotechnology journal · 2019Review
- The burden of dyslipidaemia and factors associated with lipid levels among adults in rural northern Ghana: An AWI-Gen sub-study.PloS one · 2018Article
- Budding Yeast: An Ideal Backdrop forFrontiers in cell and developmental biology · 2016Review
- Computational Modeling of Lipid Metabolism in Yeast.Frontiers in molecular biosciences · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the greatest challenges in biology is to improve the understanding of the mechanisms which underpin aging and how these affect health. The need to better understand aging is amplified by demographic changes, which have caused a gradual increase in the global population of older people. Aging western populations have resulted in a rise in the prevalence of age-related pathologies. Of these diseases, cardiovascular disease is the most common underlying condition in older people. The dysregulation of lipid metabolism due to aging impinges significantly on cardiovascular health. However, the multifaceted nature of lipid metabolism and the complexities of its interaction with aging make it challenging to understand by conventional means. To address this challenge computational modeling, a key component of the systems biology paradigm is being used to study the dynamics of lipid metabolism. This mini-review briefly outlines the key regulators of lipid metabolism, their dysregulation, and how computational modeling is being used to gain an increased insight into this system.
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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.