Evidence map›Paper›PMID 41646424›Full record

ArticleResearch square2026

Decoding the Role of H19 in Cholestatic Liver Injury Using snRNA-seq, Spatial Transcriptomics, and Machine Learning-Based Disease Prediction.

Grayson Welch Way, Xixian Jiang, Hongkun Lu, Nan Wu, Derrick Zhao, Yun-Ling Tai, Sareh Bayatpour, Xuan Wang, Huiping Zhou

Abstract readPreprint
In one paragraph

Article in Research square, 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.

Grayson Welch WayVirginia Commonwealth University.
Xixian JiangVirginia Commonwealth University.
Hongkun LuVirginia Commonwealth University.
Nan WuVirginia Commonwealth University.
Derrick ZhaoVirginia Commonwealth University.
Yun-Ling TaiVirginia Commonwealth University.
Sareh BayatpourVirginia Commonwealth University.
Xuan WangVirginia Commonwealth University.
Huiping ZhouVirginia Commonwealth University.

Funding

Mouse Model and Pathological Analysis CoreP01CA275740 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Devanand Sarkar · 2024 to 2026
$10.6M
Circular RNAs in Cholestatic Liver DiseasesR01DK139587 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI HUIPING ZHOU · 2024 to 2026
$2.2M
LncRNA H19 in Cholestatic Liver DiseasesR01DK115377 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI HYLEMON, PHILLIP B, ZHOU, HUIPING ROSE · 2018 to 2021
$2.1M
Sphingolipids in alcoholic liver diseaseR01AA030180 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI PHILLIP B HYLEMON, HUIPING ZHOU · 2023 to 2026
$2.1M
Cross-Species Multidisciplinary Training in Alcohol ResearchT32AA029975 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MICHAEL F MILES, Brien P Riley · 2023 to 2026
$1.5M
LncRNA H19 in Cholestatic Liver DiseasesR56DK115377 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI HYLEMON, PHILLIP B, ZHOU, HUIPING ROSE · 2023 to 2023
$630k
BLRD VA I01 BX005730BLRD VA IK6 BX004477BLRD VA IS1 BX004777BLRD VA IS1 BX005517NCI NIH HHS P01 CA275740NIAAA NIH HHS R01 AA030180NIAAA NIH HHS T32 AA029975NIDDK NIH HHS R01 DK115377NIDDK NIH HHS R01 DK139587NIDDK NIH HHS R56 DK115377
6 · The paper itself

Abstract

Background: Primary Sclerosing Cholangitis (PSC) is a chronic obstructive biliary disease and remains a high-burden cholestatic liver disease with no approved therapies and a substantial recurrence rate following liver transplantation. The long non-coding RNA H19 (H19) has emerged as a potential driver of PSC progression, yet its cell-type-specific and spatially resolved mechanisms remain poorly defined. Results: Age- and sex-matched wild type (WT), H19 knockout (H19KO), Mdr2 knockout (Mdr2KO), and double-knockout (DKO; Mdr2KO/H19KO) mice were used. The liver tissues were analyzed using single nucleus RNA sequencing (snRNAseq) and NanoString GeoMx spatial transcriptomics to elucidate H19-dependent cellular and spatial alternations in cholestatic liver injury. Machine learning models (logistic regression, XGBoost, neural network, and random forest) were developed to generate cell-type specific disease prediction signatures and validated using the publicly available human dataset GSE243981. Both spatial transcriptomics and snRNAseq identified a disease-associated cholangiocyte subcluster that was significantly expanded in Mdr2KO mice, but markedly diminished in DKO mice, demonstrating a requirement for H19 in sustaining pathogenic cholangiocyte state. SPP1 signaling was significantly dysregulated in cholestatic liver injury and ameliorated with H19 deletion. Novel murine markers were identified, including Gm13775 (healthy hepatocytes) and Clu and Spp1 (healthy cholangiocytes), all of which were markedly downregulaed in disease. Machine learning-based, cell type-specific disease prediction models achieved AUC values > 0.87 when validated in the GSE243981 human dataset. Noteably,Spp1 expression decreased in cholangiocytes but was ectopically upregulated in hepatocytes in diseased liver, highlighting disrupted intercellular signaling network. Spatial analyses showed that Conclusion: H19 deletion mitigates cholestatic injury by suppressing pathogenic cholangiocyte states, normalizing SPP1-mediated signaling, and restoring bile-duct-localized transcriptional programs. These findings position H19 as a critical regulator of cholangiocyte-driven pathology and a potential therapeutic target in PSC.

Indexed as

CholestasisH19Long non-coding RNAMachine learningPrimary sclerosing cholangitisSPP1

Identifiers

PMID41646424
PMCPMC12869644

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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.