ArticleFrontiers in aging neuroscience2020
The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging.
Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 30 citations in OpenAlex.
- Cell-type resolved transcriptional network analysis of in vivo cellular senescence following injury.PLoS computational biology · 2026Article
- GPCR systems coordinate cellular resilience against aging-associated stress.Frontiers in molecular biosciences · 2026Review
- Beyond hallmarks of aging - biological age and emergence of aging networks.Aging pathobiology and therapeutics · 2025Article
- Controlling synchronization of gamma oscillations by astrocytic modulation in a model hippocampal neural network.Scientific reports · 2022Article
- Prognosis and Survival Modelling in Cirrhosis Using Parenclitic Networks.Frontiers in network physiology · 2022Article
- GPCRs Are Optimal Regulators of Complex Biological Systems and Orchestrate the Interface between Health and Disease.International journal of molecular sciences · 2021Review
- Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes.Scientific reports · 2021Article
- Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes.Frontiers in cellular neuroscience · 2021Article
- Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data.GigaScience · 2020Article
- Shelter from the cytokine storm: pitfalls and prospects in the development of SARS-CoV-2 vaccines for an elderly population.Seminars in immunopathology · 2020Review
- Brain aging and garbage cleaning : Modelling the role of sleep, glymphatic system, and microglia senescence in the propagation of inflammaging.Seminars in immunopathology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 9 institutions in 6 countries.
Funding
Abstract
Biological aging is a complex process involving multiple biological processes. These can be understood theoretically though considering them as individual networks-e.g., epigenetic networks, cell-cell networks (such as astroglial networks), and population genetics. Mathematical modeling allows the combination of such networks so that they may be studied in unison, to better understand how the so-called "seven pillars of aging" combine and to generate hypothesis for treating aging as a condition at relatively early biological ages. In this review, we consider how recent progression in mathematical modeling can be utilized to investigate aging, particularly in, but not exclusive to, the context of degenerative neuronal disease. We also consider how the latest techniques for generating biomarker models for disease prediction, such as longitudinal analysis and parenclitic analysis can be applied to as both biomarker platforms for aging, as well as to better understand the inescapable condition. This review is written by a highly diverse and multi-disciplinary team of scientists from across the globe and calls for greater collaboration between diverse fields of research.
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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.