Evidence map›Paper›PMID 28874772›Full record

ArticleScientific reports2017

Antibody-dependent fragmentation is a newly identified mechanism of cell killing in vivo.

Pei Xiong Liew, Jung Hwan Kim, Woo-Yong Lee, Paul Kubes

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Mired in the glomeruli: witnessing live neutrophil recruitment in the kidney.American journal of physiology. Cell physiology · 2021
    Review
  6. Review
  7. Review
  8. 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

4 authors at 1 institution in 1 country.

Pei Xiong LiewSnyder institute of Chronic Diseases, University of Calgary, Calgary, Canada.
Jung Hwan KimSnyder institute of Chronic Diseases, University of Calgary, Calgary, Canada.
Woo-Yong LeeSnyder institute of Chronic Diseases, University of Calgary, Calgary, Canada.
Paul KubesSnyder institute of Chronic Diseases, University of Calgary, Calgary, Canada. pkubes@ucalgary.ca.
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevailing view is that therapeutic antibodies deplete cells through opsonization and subsequent phagocytosis, complement-dependent lysis or antibody-dependent cellular-cytotoxicity. We used high resolution in vivo imaging to identify a new antibody-dependent cell death pathway where Kupffer cells ripped large fragments off crawling antibody-coated iNKT cells. This antibody-dependent fragmentation process resulted in lethality and depletion of crawling iNKT cells in the liver sinusoids and lung capillaries. iNKT cell depletion was Fcy-receptor dependent and required iNKT cell crawling. Blood, spleen or joint iNKT cells that did not crawl were not depleted. The antibody required high glycosylation for sufficiently strong binding of the iNKT cells to the Fc Receptors on Kupffer cells. Using an acetaminophen overdose model, this approach functionally depleted hepatic iNKT cells and affected the severity of liver injury. This study reveals a new mechanism of antibody-dependent killing in vivo and raises implications for the design of new antibodies for cancer and auto-reactive immune cells.

Indexed as

AcetaminophenAnimalsAntibody-Dependent Cell CytotoxicityKupffer CellsLiverLymphocyte DepletionMiceMice, TransgenicNatural Killer T-CellsReceptors, CXCR3Receptors, FcAcetaminophenCxcr3 protein, mouseReceptors, CXCR3Receptors, Fc

Identifiers

PMID28874772
PMCPMC5585239
OpenAlexW2750728022

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.