Evidence map›Paper›PMID 31064304›Full record

ArticleProceedings. Biological sciences2019

Parasite resource manipulation drives bimodal variation in infection duration.

Anieke van Leeuwen, Sarah A Budischak, Andrea L Graham, Clayton E Cressler

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 2 countries.

Anieke van Leeuwen1 Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University , PO Box 59, 1790 AB Den Burg, Texel , The Netherlands.
Sarah A Budischak2 Department of Ecology & Evolutionary Biology, Princeton University , Princeton, NJ , USA.
Andrea L Graham2 Department of Ecology & Evolutionary Biology, Princeton University , Princeton, NJ , USA.
Clayton E Cressler4 Department of Biological Sciences, University of Nebraska , Lincoln, NE , USA.
Princeton University · USScripps College · USUniversity of Nebraska–Lincoln · USUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over a billion people on earth are infected with helminth parasites and show remarkable variation in parasite burden and chronicity. These parasite distributions are captured well by classic statistics, such as the negative binomial distribution. But the within-host processes underlying this variation are not well understood. In this study, we explain variation in macroparasite infection outcomes on the basis of resource flows within hosts. Resource flows realize the interactions between parasites and host immunity and metabolism. When host metabolism is modulated by parasites, we find a positive feedback of parasites on their own resources. While this positive feedback results in parasites improving their resource availability at high burdens, giving rise to chronic infections, it also results in a threshold biomass required for parasites to establish in the host, giving rise to acute infections when biomass fails to clear the threshold. Our finding of chronic and acute outcomes in bistability contrasts with classic theory, yet is congruent with the variation in helminth burdens observed in human and wildlife populations.

Indexed as

Host-Parasite InteractionsAnimalsAnimals, WildHelminthiasisHelminthsHumansModels, Biologicalacutechronicimmunityparasiteresource manipulationwithin-host

Identifiers

PMID31064304
PMCPMC6532525
OpenAlexW2944767477

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.