Evidence map›Paper›PMID 31827198›Full record

ArticleScientific reports2019

Bioinformatic analysis of peripheral blood RNA-sequencing sensitively detects the cause of late graft loss following overt hyperglycemia in pig-to-nonhuman primate islet xenotransplantation.

Hyun-Je Kim, Ji Hwan Moon, Hyunwoo Chung, Jun-Seop Shin, Bongi Kim, Jong-Min Kim, Jung-Sik Kim, Il-Hee Yoon, Byoung-Hoon Min, Seong-Jun Kang and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
1.1field-weighted citation impact, top 21% 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, 5 citations in OpenAlex.

  1. 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

17 authors at 3 institutions in 4 countries.

Hyun-Je KimXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Ji Hwan MoonInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.
Hyunwoo ChungXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Jun-Seop ShinXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.ORCID http://orcid.org/0000-0001-5142-2818
Bongi KimDepartment of Microbiology and Immunology, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Jong-Min KimXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.ORCID http://orcid.org/0000-0003-0906-0117
Jung-Sik KimXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Il-Hee YoonXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Byoung-Hoon MinXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.ORCID http://orcid.org/0000-0003-1597-9517
Seong-Jun KangXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Yong-Hee KimXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Kyuri JoDepartment of Computer Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea.ORCID http://orcid.org/0000-0001-9222-6346
Joungmin ChoiDivision of Computer Science, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Heejoon ChaeDivision of Computer Science, Sookmyung Women's University, Seoul, 04310, Republic of Korea.ORCID http://orcid.org/0000-0002-0960-5829
Won-Woo LeeXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.ORCID http://orcid.org/0000-0002-5347-9591
Sun KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea. sunkim.bioinfo@snu.ac.kr.
Chung-Gyu ParkXenotransplantation Research Center, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea. chgpark@snu.ac.kr.ORCID http://orcid.org/0000-0003-4083-8791
Seoul National University · KRSookmyung Women's University · KRChungbuk National University · KR

Funding

NIAID NIH HHS HHSN272201300031C
6 · The paper itself

Abstract

Clinical islet transplantation has recently been a promising treatment option for intractable type 1 diabetes patients. Although early graft loss has been well studied and controlled, the mechanisms of late graft loss largely remains obscure. Since long-term islet graft survival had not been achieved in islet xenotransplantation, it has been impossible to explore the mechanism of late islet graft loss. Fortunately, recent advances where consistent long-term survival (≥6 months) of adult porcine islet grafts was achieved in five independent, diabetic nonhuman primates (NHPs) enabled us to investigate on the late graft loss. Regardless of the conventional immune monitoring methods applied in the post-transplant period, the initiation of late graft loss could rarely be detected before the overt graft loss observed via uncontrolled blood glucose level. Thus, we retrospectively analyzed the gene expression profiles in 2 rhesus monkey recipients using peripheral blood RNA-sequencing (RNA-seq) data to find out the potential cause(s) of late graft loss. Bioinformatic analyses showed that highly relevant immunological pathways were activated in the animal which experienced late graft failure. Further connectivity analyses revealed that the activation of T cell signaling pathways was the most prominent, suggesting that T cell-mediated graft rejection could be the cause of the late-phase islet loss. Indeed, the porcine islets in the biopsied monkey liver samples were heavily infiltrated with CD3

Indexed as

Islets of Langerhans TransplantationRNASus scrofaAnimalsComputational BiologyGene Expression RegulationGraft RejectionHyperglycemiaMacaca mulattaSequence Analysis, RNASignal TransductionT-LymphocytesTransplantation, HeterologousRNA

Identifiers

PMID31827198
PMCPMC6906328
OpenAlexW2996171230

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.