Evidence map›Paper›PMID 30129209›Full record

ReviewImmunological reviews2018

Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology.

Joseph M Cicchese, Stephanie Evans, Caitlin Hult, Louis R Joslyn, Timothy Wessler, Jess A Millar, Simeone Marino, Nicholas A Cilfone, Joshua T Mattila, Jennifer J Linderman and 1 more

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Immunological reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06196970 (Effects of Pilates and Burpees Exercises on Core Strengthening and Dynamic Balance in Cricket Players), which is not on this map. Cited by 202 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed, 3 pooled it
8.8field-weighted citation impact, top 1% 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.

NCT06196970 nacompletednot on this mapstarted 2023, after this paper: background citation

Effects of Pilates and Burpees Exercises on Core Strengthening and Dynamic Balance in Cricket Players

TypeinterventionalSponsorRiphah International UniversityRan2023 to 2024Enrolled48ConditionsSports Physical TherapyArmsPilate exercises, Burpees exercises
3 · Its place in the literature

Who cites it

202 citing papers in PubMed, 3 syntheses or guidelines pooled it, 335 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
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  9. Review
  10. Article
  11. Design principles of the cytotoxic CD8Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Article
  13. Article
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  15. Article
  16. Review
  17. Article
  18. Article
  19. Forest Bathing (Medical sciences (Basel, Switzerland) · 2026
    Review
  20. Microorganisms · 2026
    Article

142 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

11 authors at 2 institutions in 1 country.

Joseph M CiccheseDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-2128-0702
Stephanie EvansDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0002-2345-5249
Caitlin HultDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-2641-2180
Louis R JoslynDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-7260-6568
Timothy WesslerDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-8122-2016
Jess A MillarDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-8945-3396
Simeone MarinoDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0002-0051-8198
Nicholas A CilfoneDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-6490-4418
Joshua T MattilaDepartment of Infectious Diseases and Microbiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-6384-1291
Jennifer J LindermanDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-1519-5088
Denise E KirschnerDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0002-1053-2591
University of Michigan · USUniversity of Pittsburgh · US

Funding

Predicting immune responses that correlate with protection against tuberculosisR01HL110811 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2012 to 2016
$5.9M
Predicting protective T-cell responses in Tuberculosis using a systems biology approachR01AI123093 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2016 to 2020
$3.6M
A Multi-scale systems pharmacology approach to TB therapyU01HL131072 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DARTOIS, VERONIQUE, FLYNN, JOANNE L. · 2016 to 2019
$2.9M
NHLBI NIH HHS R01 HL110811NHLBI NIH HHS U01 HL131072NIAID NIH HHS R01 AI123093
6 · The paper itself

Abstract

Immune responses to pathogens are complex and not well understood in many diseases, and this is especially true for infections by persistent pathogens. One mechanism that allows for long-term control of infection while also preventing an over-zealous inflammatory response from causing extensive tissue damage is for the immune system to balance pro- and anti-inflammatory cells and signals. This balance is dynamic and the immune system responds to cues from both host and pathogen, maintaining a steady state across multiple scales through continuous feedback. Identifying the signals, cells, cytokines, and other immune response factors that mediate this balance over time has been difficult using traditional research strategies. Computational modeling studies based on data from traditional systems can identify how this balance contributes to immunity. Here we provide evidence from both experimental and mathematical/computational studies to support the concept of a dynamic balance operating during persistent and other infection scenarios. We focus mainly on tuberculosis, currently the leading cause of death due to infectious disease in the world, and also provide evidence for other infections. A better understanding of the dynamically balanced immune response can help shape treatment strategies that utilize both drugs and host-directed therapies.

Indexed as

Models, ImmunologicalAnimalsAntitubercular AgentsComputational BiologyFeedback, PhysiologicalHumansInflammationLungModels, TheoreticalMycobacterium tuberculosisSignal TransductionTuberculosisAntitubercular Agentscytokines infectious diseasegranulomaimmune responsemathematical modellingmycobacterium tuberculosis

Identifiers

PMID30129209
PMCPMC6292442
OpenAlexW2885534843

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.