Evidence map›Paper›PMID 38123661›Full record

ArticleScientific reports2023

HLA-B*46:01:01:01 and HLA-DRB1*09:01:02:01 are associated with anti-rHuEPO-induced pure red cell aplasia.

Thitima Benjachat Suttichet, Monpat Chamnanphon, Monnat Pongpanich, Sarun Chokyakorn, Pawinee Kupatawintu, Chalurmpon Srichomthong, Wanna Chetruengchai, Hathaichanok Chuntakaruk, Thanyada Rungrotmongkol, Pajaree Chariyavilaskul and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
–field-weighted citation impact, top 57% 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, 0 citations in OpenAlex.

  1. Article
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

12 authors at 2 institutions in 1 country.

Thitima Benjachat SuttichetCenter of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Monpat ChamnanphonCenter of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Monnat PongpanichDepartment of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Sarun ChokyakornDepartment of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Pawinee KupatawintuNational Blood Center, Thai Red Cross Society, Bangkok, Thailand.
Chalurmpon SrichomthongDepartment of Pediatrics, Faculty of Medicine, Center of Excellence for Medical Genomics, Chulalongkorn University, Bangkok, Thailand.
Wanna ChetruengchaiDepartment of Pediatrics, Faculty of Medicine, Center of Excellence for Medical Genomics, Chulalongkorn University, Bangkok, Thailand.
Hathaichanok ChuntakarukProgram in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.
Thanyada RungrotmongkolProgram in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.
Pajaree ChariyavilaskulCenter of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. pajaree.l@chula.ac.th.
Vorasuk ShotelersukDepartment of Pediatrics, Faculty of Medicine, Center of Excellence for Medical Genomics, Chulalongkorn University, Bangkok, Thailand.
Kearkiat PraditpornsilpaDivision of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Chulalongkorn University · THThai Red Cross Society · TH

Funding

Health Systems Research Institute 63-108Health Systems Research Institute 65-040National Science and Technology Development Agency JRA-CO-2564-13522-THRatchadapisek Somphot Fund, Faculty of Medicine, Chulalongkorn University (Matching Fund) RA-MF-64/64
6 · The paper itself

Abstract

Treatment of anemia in patients with chronic kidney disease (CKD) with recombinant human erythropoietin (rHuEPO) can be disrupted by a severe complication, anti-rHuEPO-induced pure red cell aplasia (PRCA). Specific HLA genotypes may have played a role in the high incidence of PRCA in Thai patients (1.7/1,000 patient years vs. 0.03/10,000 patient years in Caucasians). We conducted a case-control study in 157 CKD patients with anti-rHuEPO-induced PRCA and 56 controls. The HLA typing was determined by sequencing using a highly accurate multiplex single-molecule, real-time, long-read sequencing platform. Four analytical models were deployed: Model 1 (additive: accounts for the number of alleles), Model 2 (dominant: accounts for only the presence or absence of alleles), Model 3 (adjusted additive with rHuEPO types) and Model 4 (adjusted dominant with rHuEPO types). HLA-B*46:01:01:01 and DRB1*09:01:02:01 were found to be independent risk markers for anti-rHuEPO-induced PRCA in all models [OR (95%CI), p-values for B*46:01:01:01: 4.58 (1.55-13.51), 0.006; 4.63 (1.56-13.75), 0.006; 5.72 (1.67-19.67), 0.006; and 5.81 (1.68-20.09), 0.005; for DRB1*09:01:02:01: 3.99 (1.28-12.49), 0.017, 4.50 (1.32-15.40), 0.016, 3.42 (1.09-10.74), 0.035, and 3.75 (1.08-13.07), 0.038, in Models 1-4, respectively. HLA-B*46:01:01:01 and DRB1*09:01:02:01 are susceptible alleles for anti-rHuEPO-induced PRCA. These findings support the role of HLA genotyping in helping to monitor patients receiving rHuEPO treatment.

Indexed as

ErythropoietinRed-Cell Aplasia, PureRenal Insufficiency, ChronicCase-Control StudiesHLA-B AntigensHLA-DRB1 ChainsHumansRecombinant ProteinsErythropoietinHLA-B AntigensHLA-DRB1*09:01:02 antigenHLA-DRB1 ChainsRecombinant Proteins

Identifiers

PMID38123661
PMCPMC10733298
OpenAlexW4389994358

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.