Evidence map›Paper›PMID 29913045›Full record

ArticleXenotransplantation2018

Transplantation tolerance through mixed chimerism: From allo to xeno.

David H Sachs

Open access · greenAbstract read
In one paragraph

Article in Xenotransplantation, 2018. 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
1.4field-weighted citation impact, top 19% 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, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Animal models for transplant immunology: bridging bench to bedside.Clinical transplantation and research · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Corneal xenotransplantation: Where are we standing?Progress in retinal and eye research · 2021
    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

1 author at 1 institution in 1 country.

David H SachsColumbia Center for Translational Immunology, Columbia University Medical Center, New York, NY, USA.ORCID 0000-0001-9588-8580
Columbia University Irving Medical Center · US

Funding

XENOGRAFT TOLERANCE THROUGH MIXED CHIMERISMP01AI045897 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Megan Sykes · 2000 to 2026
$71.9M
NIAID NIH HHS P01 AI045897
6 · The paper itself

Abstract

To date, the only successful means of achieving allogeneic transplantation tolerance in the clinic has involved induction of mixed lymphohematopoietic chimerism. Such chimerism was first achieved in mice and subsequently in large animals, including miniature swine, monkeys and most recently humans. The mechanism of tolerance has differed between models, involving both deletional and regulatory mechanisms, in varying proportions, depending on the model. Considerable progress has also been made toward induction of tolerance across the xenogeneic pig-to-primate barrier, although complete success has not yet been achieved. The two approaches toward xenograft tolerance currently being investigated both involve establishment of a mixture of host and donor cells in the thymus, in one case through administration of donor bone marrow to the recipient and in the other through vascularized donor thymus transplantation to a thymectomized recipient. Hopefully, a combination of these approaches may provide an effective means for achieving full tolerance and thereby bringing xenograft organ transplantation to the clinic.

Indexed as

ChimerismTransplantation, HeterologousAnimalsBone Marrow TransplantationHumansImmune ToleranceSwineTransplantation ChimeraTransplantation Toleranceallograftsmixed chimerismtolerancetransplantationxenografts

Identifiers

PMID29913045
PMCPMC6010074
OpenAlexW2808719177

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.