Evidence map›Paper›PMID 27337471›Full record

ReviewMicrobiology spectrum2016

Evolution of Myeloid Cells.

Daniel R Barreda, Harold R Neely, Martin F Flajnik

Open access · greenAbstract readReview
In one paragraph

Review in Microbiology spectrum, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Macrophage variants in laboratory research: most are well done, but some are RAW.Frontiers in cellular and infection microbiology · 2024
    Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. A cold-blooded view of adaptive immunity.Nature reviews. Immunology · 2018
    Review
  9. Article
  10. Review
  11. Review
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 at 2 institutions in 2 countries.

Daniel R BarredaDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2P5, Canada.
Harold R NeelyDepartment of Microbiology and Immunology, University of Maryland Baltimore, Baltimore, MD 21201.
Martin F FlajnikDepartment of Microbiology and Immunology, University of Maryland Baltimore, Baltimore, MD 21201.
University of Maryland, Baltimore · USUniversity of Alberta · CA

Funding

Evolution of Adaptive ImmunityR01OD010549 · OD · UNIVERSITY OF MARYLAND BALTIMORE · PI FLAJNIK, MARTIN F · 2013 to 2017
$1.7M
NIH HHS R01 OD010549
6 · The paper itself

Abstract

In 1882, Elie Metchnikoff identified myeloid-like cells from starfish larvae responding to the invasion by a foreign body (rose thorn). This marked the origins for the study of innate immunity, and an appreciation that cellular immunity was well established even in these "primitive" organisms. This chapter focuses on these myeloid cells as well as the newest members of this family, the dendritic cells, and explores their evolutionary origins. Our goal is to provide evolutionary context for the development of the multilayered immune system of mammals, where myeloid cells now serve as central effectors of innate immunity and regulators of adaptive immunity. Overall, we find that core contributions of myeloid cells to the regulation of inflammation are based on mechanisms that have been honed over hundreds of millions of years of evolution. Using phagocytosis as a platform, we show how fairly simple beginnings have offered a robust foundation onto which additional control features have been integrated, resulting in central regulatory nodes that now manage multifactorial aspects of homeostasis and immunity.

Indexed as

Biological EvolutionImmunity, CellularImmunity, InnateAnimalsMammalsMyeloid Cells

Identifiers

PMID27337471
PMCPMC4920081
OpenAlexW2401394690

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.