ArticleFrontiers in physiology2020
Physiological Network From Anthropometric and Blood Test Biomarkers.
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Antibodies in plasma and blood cells of horses.Open veterinary journal · 2026Article
- Digital media use and cognitive networks in medical students: linking screen time with intelligence and academic performance.Frontiers in medicine · 2026Article
- Beyond hypertrophy: a network physiology perspective on the cardio-neuromuscular trade-off in elite soccer.Frontiers in network physiology · 2026Article
- Impact of dietary intervention and supplementation on the physiological profile of individuals with down syndrome.Scientific reports · 2025Article
- Achalasia alters physiological networks depending on sex.Scientific reports · 2024Article
- Article
- Intercorrelated variability in blood and hemodynamic biomarkers reveals physiological network in hemodialysis patients.Scientific reports · 2023Article
- Deciphering genetic causes for sex differences in human health through drug metabolism and transporter genes.Nature communications · 2023Article
- Effects of Acute Partial Sleep Deprivation and High-Intensity Interval Exercise on Postprandial Network Interactions.Frontiers in network physiology · 2022Article
- Physiological Network Is Disrupted in Severe COVID-19.Frontiers in physiology · 2022Article
- The New Field of Network Physiology: Building the Human Physiolome.Frontiers in network physiology · 2021Article
- Sex Differences in the Physiological Network of Healthy Young Subjects.Frontiers in physiology · 2021Article
Corrections and comments
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Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, research in physiology focuses on molecular mechanisms underlying the functioning of living organisms. Reductionist strategies are used to decompose systems into their components and to measure changes of physiological variables between experimental conditions. However, how these isolated physiological variables translate into the emergence -and collapse- of biological functions of the organism as a whole is often a less tractable question. To generate a useful representation of physiology as a system, known and unknown interactions between heterogeneous physiological components must be taken into account. In this work we use a Complex Inference Networks approach to build physiological networks from biomarkers. We employ two unrelated databases to generate Spearman correlation matrices of 81 and 54 physiological variables, respectively, including endocrine, mechanic, biochemical, anthropometric, physiological, and cellular variables. From these correlation matrices we generated physiological networks by selecting a
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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.