Evidence map›Paper›PMID 42323652›Full record

ArticleAllergy2026

Modeling Hereditary Angioedema With Personalized Expanded Potential Stem Cell-Derived Hepatocytes: A CRISPR-Validated Platform for Mutation-Specific Mechanisms and Therapeutic Innovation.

Xueyan Liu, Yuxin Wang, Jane C Y Wong, Xiang Zhang, Cuixi Wu, Pengyu Chen, Yunzhi Yang, Pentao Liu, Chak Sing Lau, Matthew Cook and 1 more

Abstract read
In one paragraph

Article in Allergy, 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

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

11 authors.

Xueyan LiuDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0003-3756-9172
Yuxin WangDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0009-0002-9603-5533
Jane C Y WongDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.
Xiang ZhangDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0009-0009-2369-5267
Cuixi WuDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.
Pengyu ChenDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.
Yunzhi YangDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.
Pentao LiuInnoHK Centre for Translational Stem Cell Biology, Hong Kong Science Park, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-5774-9678
Chak Sing LauDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-6698-8355
Matthew CookInnoHK Centre for Translational Stem Cell Biology, Hong Kong Science Park, Hong Kong SAR, China.
Philip Hei LiDivision of Rheumatology and Clinical Immunology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0002-9155-9162

Funding

the InnoHK initiative of the Innovation and Technology Commission of the Hong Kong Special Administrative Region Government
6 · The paper itself

Abstract

Hereditary angioedema (HAE) with C1 esterase inhibitor (C1INH) deficiency is caused by pathogenic SERPING1 mutations that disrupt production of the plasma protease inhibitor C1INH. However, the molecular mechanisms and consequences of patient-specific mutations remain poorly understood due to the lack of physiologically relevant human models. Here, we established a personalized, isogenic, stem-cell-derived hepatocyte platform to investigate the underlying mutation-specific mechanisms of HAE. Specifically, peripheral blood mononuclear cell (PBMC)-expanded erythroblasts from four representative HAE-C1INH-Type1 patients containing distinct point, insertion, deletion, or large fragment SERPING1 mutations were reprogrammed into expanded potential stem cells (EPSCs) and further differentiated into hepatocyte-like cells (HLCs). These HLCs exhibited appropriate transcriptional transitions, mature hepatic features, and C1INH secretion comparable to that observed in human plasma. All patient-derived HLCs demonstrated impaired C1INH secretion with mutation-specific differences in both SERPING1 transcription and intracellular accumulation. Moreover, to verify that the mutations directly drive the phenotype, we performed CRISPR/Cas9-mediated genome repair, which restored SERPING1 mRNA expression and C1INH secretion. Conversely, identical patient mutations installed into healthy EPSCs showed the same transcriptional and secretory defects, confirming sufficiency. Collectively, we have established a robust human hepatocyte model that accurately recapitulates key hepatocyte-specific aspects of HAE pathophysiology and provides a scalable foundation for investigation of future precision therapies.

Indexed as

Angioedemas, HereditaryClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsHepatocytesMutationStem CellsCell DifferentiationComplement C1 Inhibitor ProteinHumansModels, BiologicalPrecision MedicineComplement C1 Inhibitor ProteinSERPING1 protein, human

Identifiers

PMID42323652
PMCPMC13466179

What OpenQuestion holds

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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.