Evidence map›Paper›PMID 34344955›Full record

ArticleScientific reports2021

Establishment of HLA class I and MICA/B null HEK-293T panel expressing single MICA alleles to detect anti-MICA antibodies.

Ji-Ho Jeon, In-Cheol Baek, Cheol-Hwa Hong, Ki Hyun Park, Hyeyoung Lee, Eun-Jee Oh, Tai-Gyu Kim

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Ji-Ho JeonDepartment of Microbiology, College of Medicine, The Catholic University of Korea, 505, Banpo-Dong, Seocho-Gu, Seoul, 137-040, Korea.ORCID 0000-0003-4091-7772
In-Cheol BaekHematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, 505, Banpo-Dong, Seocho-Gu, Seoul, 137-040, Korea.ORCID 0000-0003-3630-3364
Cheol-Hwa HongDepartment of Microbiology, College of Medicine, The Catholic University of Korea, 505, Banpo-Dong, Seocho-Gu, Seoul, 137-040, Korea.
Ki Hyun ParkDepartments of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 505, Banpo-Dong, Seocho-Gu, Seoul, 137-040, Korea.
Hyeyoung LeeDepartment of Laboratory Medicine, International St. Mary's Hospital, College of Medicine, Catholic Kwandong University, 25, Simgok-ro 100beon-gil, Seo-gu, Incheon, 22711, Korea.ORCID 0000-0001-8871-5091
Eun-Jee OhDepartments of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 505, Banpo-Dong, Seocho-Gu, Seoul, 137-040, Korea.ORCID 0000-0001-5870-915X
Tai-Gyu KimDepartment of Microbiology, College of Medicine, The Catholic University of Korea, 505, Banpo-Dong, Seocho-Gu, Seoul, 137-040, Korea. kimtg@catholic.ac.kr.ORCID 0000-0002-2226-2138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre- and post-transplantation anti-MICA antibody detection development are associated with an increased rejection risk and low graft survival. We previously generated HLA class I null HEK-293T using CRISPR/Cas9, while MICA and MICB genes were removed in this study. A panel of 11 cell lines expressing single MICA alleles was established. Anti-MICA antibody in the sera of kidney transplant patients was determined using flow cytometric method (FCM) and the Luminex method. In the 44 positive sera, the maximum FCM value was 2879 MFI compared to 28,135 MFI of Luminex method. Eleven sera (25%) were determined as positive by FCM and 32 sera (72%) were positive by the Luminex method. The sum of total MICA antigens, MICA*002, *004, *009, *019, and *027 correlation showed a statistically significant between the two methods (P = 0.0412, P = 0.0476, P = 0.0019, P = 0.0098, P = 0.0467, and P = 0.0049). These results demonstrated that HEK-293T-based engineered cell lines expressing single MICA alleles were suitable for measuring specific antibodies against MICA antigens in the sera of transplant patients. Studies of antibodies to MICA antigens may help to understand responses in vivo and increase clinical relevance at the cellular level such as complement-dependent cytotoxicity.

Indexed as

AllelesGene Knockout TechniquesGenetic EngineeringGraft SurvivalHEK293 CellsHistocompatibility Antigens Class IHLA AntigensHumansKidney TransplantationHistocompatibility Antigens Class IHLA AntigensMHC class I-related chain AMICB antigen

Identifiers

PMID34344955
PMCPMC8333366

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