Evidence map›Paper›PMID 21321109›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2011

Multiscale computational modeling reveals a critical role for TNF-α receptor 1 dynamics in tuberculosis granuloma formation.

Mohammad Fallahi-Sichani, Mohammed El-Kebir, Simeone Marino, Denise E Kirschner, Jennifer J Linderman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

109 citing papers in PubMed, 169 citations in OpenAlex.

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  10. GEODE: anFrontiers in pharmacology · 2025
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49 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Mohammad Fallahi-SichaniDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Mohammed El-Kebir
Simeone Marino
Denise E Kirschner
Jennifer J Linderman
University of Michigan–Ann Arbor · USGGD Amsterdam · NL

Funding

Modeling Immunity for BiodefenseN01AI50018 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINMETZ, KAREN · 2008 to 2011
$3.5M
A multi-scale and multi-system approach to understand granuloma formation in TBR33HL092853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KIRSCHNER, DENISE E · 2008 to 2010
$684k
A multi-scale and multi-system approach to understand granuloma formation in TBR33HL092844 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDERMAN, JENNIFER JEAN · 2008 to 2010
$656k
NHLBI NIH HHS R33 HL092844NHLBI NIH HHS R33HL092844NHLBI NIH HHS R33 HL092853NHLBI NIH HHS R33HL092853NIAID NIH HHS N01 AI050018NIAID NIH HHS N01 AI50018
6 · The paper itself

Abstract

Multiple immune factors control host responses to Mycobacterium tuberculosis infection, including the formation of granulomas, which are aggregates of immune cells whose function may reflect success or failure of the host to contain infection. One such factor is TNF-α. TNF-α has been experimentally characterized to have the following activities in M. tuberculosis infection: macrophage activation, apoptosis, and chemokine and cytokine production. Availability of TNF-α within a granuloma has been proposed to play a critical role in immunity to M. tuberculosis. However, in vivo measurement of a TNF-α concentration gradient and activities within a granuloma are not experimentally feasible. Further, processes that control TNF-α concentration and activities in a granuloma remain unknown. We developed a multiscale computational model that includes molecular, cellular, and tissue scale events that occur during granuloma formation and maintenance in lung. We use our model to identify processes that regulate TNF-α concentration and cellular behaviors and thus influence the outcome of infection within a granuloma. Our model predicts that TNF-αR1 internalization kinetics play a critical role in infection control within a granuloma, controlling whether there is clearance of bacteria, excessive inflammation, containment of bacteria within a stable granuloma, or uncontrolled growth of bacteria. Our results suggest that there is an interplay between TNF-α and bacterial levels in a granuloma that is controlled by the combined effects of both molecular and cellular scale processes. Finally, our model elucidates processes involved in immunity to M. tuberculosis that may be new targets for therapy.

Indexed as

Models, ImmunologicalMolecular Dynamics SimulationComputational BiologyGranulomaHumansInflammation MediatorsLigandsMycobacterium tuberculosisPredictive Value of TestsReceptors, Tumor Necrosis Factor, Type ISignal TransductionTuberculosis, PulmonaryTumor Necrosis Factor-alphaInflammation MediatorsLigandsReceptors, Tumor Necrosis Factor, Type ITumor Necrosis Factor-alpha

Identifiers

PMID21321109
PMCPMC3127549
OpenAlexW2160556418

What OpenQuestion holds

Textmetadata
LicenceTDM
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.