Evidence map›Paper›PMID 34869049›Full record

ArticleFrontiers in cellular and infection microbiology2021

A Mathematical Model of the Dynamics of Cytokine Expression and Human Immune Cell Activation in Response to the Pathogen

Kian Talaei, Steven A Garan, Barbara de Melo Quintela, Mette S Olufsen, Joshua Cho, Julia R Jahansooz, Puneet K Bhullar, Elliott K Suen, Walter J Piszker, Nuno R B Martins and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 20 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

13 authors at 4 institutions in 2 countries.

Kian TalaeiCenter for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.
Steven A GaranCenter for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.
Barbara de Melo QuintelaDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Mette S OlufsenDepartment of Mathematics, North Carolina State University, Raleigh, NC, United States.
Joshua ChoCenter for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.
Julia R JahansoozCenter for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.
Puneet K BhullarCenter for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.
Elliott K SuenCenter for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.
Walter J PiszkerCenter for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.
Nuno R B MartinsCenter for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.
Matheus Avila Moreira de PaulaDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Rodrigo Weber Dos SantosDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Marcelo LoboscoDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
University of California, Berkeley · USUniversidade Federal de Juiz de Fora · BRLawrence Berkeley National Laboratory · USNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-based mathematical models have previously been developed to simulate the immune system in response to pathogens. Mathematical modeling papers which study the human immune response to pathogens have predicted concentrations of a variety of cells, including activated and resting macrophages, plasma cells, and antibodies. This study aims to create a comprehensive mathematical model that can predict cytokine levels in response to a gram-positive bacterium,

Indexed as

Staphylococcal InfectionsStaphylococcus aureusCytokinesHumansModels, TheoreticalTumor Necrosis Factor-alphaCytokinesTumor Necrosis Factor-alphacell activationcytokine responsecytokinesimmune responseimmune systemmathematical modelingStaphycoccus aureus

Identifiers

PMID34869049
PMCPMC8633844
OpenAlexW3211657836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.