Evidence map›Paper›PMID 36249604›Full record

ReviewCureus2022

Genetically Engineered Porcine Organs for Human Xenotransplantation.

Maryam Shahab, Nihal Ud Din, Nimra Shahab

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Pig Models in Retinal Research and Retinal Disease.Cold Spring Harbor perspectives in medicine · 2024
    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 1 country.

Maryam ShahabInternal Medicine, Queens Internal Medicine and Geriatrics, New York, USA.
Nihal Ud DinInternal Medicine, Queens Internal Medicine and Geriatrics, New York, USA.
Nimra ShahabInternal Medicine, Nowshera Medical College, Nowshera, PAK.
Gandhara University · PKNorthern University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xenotransplantation holds a promising future for many patients, especially those with end-stage renal disease or uncontrollable serum glucose levels. Porcine organs are viewed as the perfect candidate for a source of xenografts. However, the recipient's immunity, incompatibility of biologic systems, and transfer of new pathogenic organisms are all obstacles to clinical xenotransplantation, in addition to the risk of zoonosis and xenoantigens. Genetic modification of pigs using clustered regularly interspaced short palindromic repeat (CRISPR)-CRISPR-associated protein 9 (Cas9) resulted in the production of porcine endogenous retrovirus (PERV)-free offsprings with the consequent removal of many clinical complications post-transplantation. Such as minimizing both acute and chronic inflammation, in addition to suppressing rejection reactions, which may prolong graft survival. To build on these recent successes, it is important to look at the limits of genetic engineering and develop ways to advance the field of xenotransplantation and reverse xenotransplantation clinical applications forward. Still, significant problems remain with clinical human xenotransplantation; future work should focus on developing an ideal genetically engineered swine donor source that can improve long-term graft survival and suppress the immune system in a clinically useful way.

Indexed as

crispr/cas9genetic modificationpervporcinetransplant rejectionxenoantigensxenograft survivalxenotransplantation

Identifiers

PMID36249604
PMCPMC9556182
OpenAlexW4295881897

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.