Evidence map›Paper›PMID 41876456›Full record

ArticleCell death & disease2026

Investigating PKD2 deficiency-associated cardiomyopathies using hESC-cardiomyocytes and bioengineered 3D ventricular cardiac tissue strips.

Jingxuan Li, Wentao Peng, Maxwell Kwok, Huanyu Ding, Duan Zhuo, Bimal Gurung, Ishan Raj Lakhani, Hongyan Yu, Ellen N Poon, Ronald A Li and 1 more

Abstract read
In one paragraph

Article in Cell death & disease, 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.

Jingxuan LiSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China.
Wentao PengSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China.
Maxwell KwokSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China.ORCID http://orcid.org/0000-0001-5920-9341
Huanyu DingSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China.
Duan ZhuoSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China.
Bimal GurungNovoheart, Boston, MA, USA.
Ishan Raj LakhaniSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China.
Hongyan YuSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China.
Ellen N PoonSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China. ellen.poon@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-9280-3681
Ronald A LiNovoheart, Boston, MA, USA.
Xiaoqiang YaoSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Hong Kong, China. yao2068@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-0687-8186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal dominant polycystic kidney disease is a highly prevalent hereditary renal disorder caused by mutations in either polycystin-1 or polycystin-2. These patients also develop cardiomyopathies. However, the mechanism of how polycystin-2 defects could lead to cardiomyopathies is poorly understood. Moreover, previous studies using animal models cannot fully represent human cardiomyocyte pathophysiology. Human embryonic stem cells were differentiated into cardiomyocytes. These cardiomyocytes were transduced with viral-based polycystin-2-shRNAs, then mixed with an appropriate amount of human fetal fibroblasts, collagen, and Matrigel, and biofabricated into 3D bioengineered ventricular cardiac tissue strips (hvCTS). We used these 3D hvCTS and 2D human embryonic stem cells-derived cardiomyocytes to recapitulate polycystin-2 deficiency-associated cardiac contractile defects and to explore underlying mechanisms. Knockdown of polycystin-2 decreased the contractile force and slowed down the contraction and relaxation velocities in hvCTS, indicative of contractile malfunction. The underlying mechanisms involved an elevated endoplasmic reticulum stress and a decreased activity of sarcoplasmic reticulum Ca

Indexed as

CardiomyopathiesHeart VentriclesHuman Embryonic Stem CellsMyocytes, CardiacTRPP Cation ChannelsCell DifferentiationHumansMyocardial ContractionSarcoplasmic Reticulum Calcium-Transporting ATPasesTissue EngineeringSarcoplasmic Reticulum Calcium-Transporting ATPasesTRPP Cation Channels

Identifiers

PMID41876456
PMCPMC13039962

What Socratic 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 Socratic graph.