Evidence map›Paper›PMID 30198637›Full record

ReviewCPT: pharmacometrics & systems pharmacology2018

Importance of Feedback and Feedforward Loops to Adaptive Immune Response Modeling.

Anisur Rahman, Abhinav Tiwari, Jatin Narula, Timothy Hickling

Abstract readReview
In one paragraph

Review in CPT: pharmacometrics & systems pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Autonomic Neuropathy is Associated with More Densely Interconnected Cytokine Networks in People with HIV.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Innate Immune Memory in Macrophages.Newborn (Clarksville, Md.)
    Article
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.

Anisur RahmanPfizer Inc., Andover, Massachusetts, USA.
Abhinav TiwariPfizer Inc., Cambridge, Massachusetts, USA.
Jatin NarulaPfizer Inc., Cambridge, Massachusetts, USA.
Timothy HicklingPfizer Inc., Andover, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human adaptive immune system is a very complex network of different types of cells, cytokines, and signaling molecules. This complex network makes it difficult to understand the system level regulations. To properly explain the immune system, it is necessary to explicitly investigate the presence of different feedback and feedforward loops (FFLs) and their crosstalks. Considering that these loops increase the complexity of the system, the mathematical modeling has been proved to be an important tool to explain such complex biological systems. This review focuses on these regulatory loops and discusses their importance on systems modeling of the immune system.

Indexed as

Adaptive ImmunityFeedbackModels, BiologicalHumansT-Lymphocytes, Regulatory

Identifiers

PMID30198637
PMCPMC6202469

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.