Evidence map›Paper›PMID 42239410›Full record

ArticlebioRxiv : the preprint server for biology2026

Proteomic Identification of Pig Xenoantigens for Clinical Xenotransplantation.

Hongyi Liu, Trung Hoàng, Yingwei Hu, Yuanwei Xu, Zhenyu Sun, Brandon J Peiffer, Yuanyu Huang, Zhaoli Sun, Hui Zhang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Hongyi LiuDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
Trung HoàngDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
Yingwei HuDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
Yuanwei XuDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
Zhenyu SunDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
Brandon J PeifferDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Yuanyu HuangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
Zhaoli SunDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Hui ZhangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.ORCID 0000-0001-8726-7098

Funding

Proteogenomic Characterization of Tumor Tissues and Preclinical Models with High PrecisionU24CA271079 · NCI · JOHNS HOPKINS UNIVERSITY · PI DANIEL Wanyui CHAN, Hui Zhang · 2022 to 2026
$6.6M
NCI NIH HHS U24 CA271079
6 · The paper itself

Abstract

Xenotransplantation using genetically engineered pig organs offers a promising solution to the shortage of donor organs for life-saving transplants. However, human preformed antibodies against unknown pig xenoantigens remain a significant barrier to successful xenotransplantation. Current methods for characterizing these antibodies or xenoantigens are limited to cellular-level crossmatch assays. In this study, we developed a novel approach to identify pig xenoantigens, including peptide and glycopeptide epitopes that react with human preformed antibodies. First, human preformed antibodies against xenoantigens were enriched from plasma using immobilized pig kidney proteins. The enriched antibodies were then immobilized and used to isolate pig kidney proteins, peptides, and intact glycopeptides, followed by liquid chromatography-tandem mass spectrometry analysis. This dual-level approach identified 221 peptides corresponding to 153 proteins, with a significant enrichment of plasma membrane and extracellular proteins. Notably, 11 peptides were unique to pig sequences, suggesting their potential role in driving xenogeneic immune responses. Glycoproteomic analysis identified 122 intact glycopeptides, predominantly complex/hybrid glycoforms and Neu5Gc-containing glycans. Our method effectively identifies peptides and intact glycopeptides reactive to human preformed antibodies, providing critical insights for discovering xenoantigens. These findings could guide genetic engineering strategies and enhance recipient candidate screening for xenotransplantation, ultimately increasing the feasibility and success of xenogeneic organ transplantation.

Indexed as

glycoproteomicpreformed antibodyproteomicxenoantigen

Identifiers

PMID42239410
PMCPMC13228495

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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.