ArticlePLoS biology2011
Tracing personalized health curves during infections.
Article in PLoS biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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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.
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Who cites it
35 citing papers in PubMed.
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- Insights into pig resilience: the Microbiome-genetic connection.Porcine health management · 2026Review
- Malaria parasites can optimize transmission investment by sensing two within-host cues.PLoS biology · 2025Article
- Atazanavir-induced unconjugated hyperbilirubinemia prevents vascular hyporeactivity during experimental human endotoxemia.Frontiers in immunology · 2023Article
- Differential Pneumococcal Growth Features in Severe Invasive Disease Manifestations.Microbiology spectrum · 2022Article
- Breeding for disease resilience: opportunities to manage polymicrobial challenge and improve commercial performance in the pig industry.CABI agriculture and bioscience · 2022Review
- Systems redox biology in health and disease.EXCLI journal · 2022Review
- Stress in paradise: effects of elevated corticosterone on immunity and avian malaria resilience in a Hawaiian passerine.The Journal of experimental biology · 2021Article
- Article
- Evolution of pathogen tolerance and emerging infections: A missing experimental paradigm.eLife · 2021Review
- A novel modelling approach to quantify the response of dairy goats to a high-concentrate diet.Scientific reports · 2020Article
- Why breed disease-resilient livestock, and how?Genetics, selection, evolution : GSE · 2020Review
- Uncovering drivers of dose-dependence and individual variation in malaria infection outcomes.PLoS computational biology · 2020Article
- Precision multiparameter tracking of inflammation on timescales of hours to years using serial dried blood spots.Bioanalysis · 2020Article
- The Biology of Physiological Health.Cell · 2020Review
- Treatment timing shifts the benefits of short and long antibiotic treatment over infection.Evolution, medicine, and public health · 2020Article
- Testosterone treatment of aged male mice improves some but not all aspects of age-associated increases in influenza severity.Cellular immunology · 2019Article
- Renal control of disease tolerance to malaria.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Article
- Conditioning Against the Pathology of Parkinson's disease.Conditioning medicine · 2018Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
It is difficult to describe host-microbe interactions in a manner that deals well with both pathogens and mutualists. Perhaps a way can be found using an ecological definition of tolerance, where tolerance is defined as the dose response curve of health versus parasite load. To plot tolerance, individual infections are summarized by reporting the maximum parasite load and the minimum health for a population of infected individuals and the slope of the resulting curve defines the tolerance of the population. We can borrow this method of plotting health versus microbe load in a population and make it apply to individuals; instead of plotting just one point that summarizes an infection in an individual, we can plot the values at many time points over the course of an infection for one individual. This produces curves that trace the course of an infection through phase space rather than over a more typical timeline. These curves highlight relationships like recovery and point out bifurcations that are difficult to visualize with standard plotting techniques. Only nine archetypical curves are needed to describe most pathogenic and mutualistic host-microbe interactions. The technique holds promise as both a qualitative and quantitative approach to dissect host-microbe interactions of all kinds.
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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.