Evidence map›Paper›PMID 34949534›Full record

ReviewTrends in immunology2022

The evolution of powerful yet perilous immune systems.

Andrea L Graham, Edward C Schrom, C Jessica E Metcalf

Abstract readReview
In one paragraph

Review in Trends in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Protozoan-Derived Cytokine-Transgenic Macrophages Reverse Hepatic Fibrosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Epidemiological impacts of post-infection mortality.Proceedings. Biological sciences · 2023
    Article
  17. Article
  18. Review
  19. 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

3 authors.

Andrea L GrahamDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. Electronic address: algraham@princeton.edu.
Edward C SchromDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA; School of Public and International Affairs, Princeton University, Princeton, NJ 08544, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammalian immune system packs serious punch against infection but can also cause harm: for example, coronavirus disease 2019 (COVID-19) made headline news of the simultaneous power and peril of human immune responses. In principle, natural selection leads to exquisite adaptation and therefore cytokine responsiveness that optimally balances the benefits of defense against its costs (e.g., immunopathology suffered and resources expended). Here, we illustrate how evolutionary biology can predict such optima and also help to explain when/why individuals exhibit apparently maladaptive immunopathological responses. Ultimately, we argue that the evolutionary legacies of multicellularity and life-history strategy, in addition to our coevolution with symbionts and our demographic history, together explain human susceptibility to overzealous, pathology-inducing cytokine responses. Evolutionary insight thereby complements molecular/cellular mechanistic insights into immunopathology.

Indexed as

COVID-19Adaptation, PhysiologicalAnimalsBiological EvolutionCytokinesHumansImmune SystemSARS-CoV-2Cytokinescytokinesevolutionary biologyGoldilocksimmunopathologyoptimality

Identifiers

PMID34949534
PMCPMC8686020

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.