Evidence map›Paper›PMID 42684624›Full record

ArticleHepatology international2026

Matrix stiffness shapes early transcriptional trajectories during hepatic stellate cell activation.

Kento Inada, Masato Miyoshi, Sei Kakinuma, Keiya Watakabe, Tomohiro Mochida, Taro Shimizu, Jun Tsuchiya, Tsubasa Nobusawa, Shun Kaneko, Fukiko Kawai-Kitahata and 5 more

Abstract read
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In one paragraph

Article in Hepatology international, 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

15 authors.

Kento Inada *Department of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Masato Miyoshi *Department of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan. mmiyoshi.gast@tmd.ac.jp.
Sei KakinumaDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan. skakinuma.gast@tmd.ac.jp.ORCID http://orcid.org/0000-0003-2193-5203
Keiya WatakabeDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Tomohiro MochidaDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Taro ShimizuDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Jun TsuchiyaDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Tsubasa NobusawaDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Shun KanekoDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Fukiko Kawai-KitahataDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Miyako MurakawaDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Sayuri NittaDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Mina NakagawaDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.
Yasuhiro AsahinaDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan. asahina.gast@tmd.ac.jp.
Ryuichi OkamotoDepartment of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo (Science Tokyo), Tokyo, Japan.

Funding

Japan Agency for Medical Research and Development JP25fk0210123Japan Agency for Medical Research and Development JP25fk0210126Japan Agency for Medical Research and Development JP25fk0210163Japan Agency for Medical Research and Development JP25fk0310545Japan Agency for Medical Research and Development JP26fk0210142Japan Agency for Medical Research and Development JP26fk0210163Japan Agency for Medical Research and Development JP26fk0210167Japan Agency for Medical Research and Development JP26fk0210174Japan Agency for Medical Research and Development JP26fk0210179Japan Agency for Medical Research and Development JP26fk0210186Japan Agency for Medical Research and Development JP26fk0210188Japan Agency for Medical Research and Development JP26fk0310538Japan Science and Technology Agency JPMJSP2106Japan Science and Technology Agency JPMJSP2180Japan Society for the Promotion of Science JP23K27580Japan Society for the Promotion of Science JP24K02433Japan Society for the Promotion of Science JP24K11065Japan Society for the Promotion of Science JP24KK22114Japan Society for the Promotion of Science JP25K02635Japan Society for the Promotion of Science JP25K11196Japan Society for the Promotion of Science JP25K22618Japan Society for the Promotion of Science JP25K23954Japan Society for the Promotion of Science JP26K10850Japan Society for the Promotion of Science JP26K10923Japan Society for the Promotion of Science JP26K10946
6 · The paper itself

Abstract

backgroundMatrix stiffness increases during fibrosis and drives hepatic stellate cell (HSC) activation through YAP-dependent mechanotransduction. Although recent studies have revealed HSC heterogeneity beyond classical quiescent and fully activated states, how physiological-range stiffness influences activation trajectories underlying this heterogeneity remains unclear. This study aimed to determine how substrate stiffness shapes the transcriptomic profiles and biases activation trajectories.

methodsWe performed time-resolved single-cell RNA sequencing of primary mouse HSCs cultured on stiffness-tunable polydimethylsiloxane (PDMS) substrates (Soft, 0.2 kPa; Hard, 32 kPa), using tissue culture polystyrene (TCPS) as a conventional baseline. In vitro findings were anchored to public in vivo datasets from mouse and human liver injury.

resultsMatrix stiffness altered HSC morphology and transcriptional state, with softer substrates promoting a rounder phenotype and reducing the expression of activation markers, particularly during early activation. Pseudotime and RNA velocity analyses also revealed different early trajectories associated with matrix stiffness. Under the soft condition, HSCs exhibited an expanded quiescent-to-initiatory transitional state characterized by Nrf2-related features and regeneration-associated factors, including Hgf and Rspo3. In contrast, the hard condition induced a gene signature, which was upregulated from early stages of HSC activation onward, localized to fibrotic septa in human liver and correlated with cirrhosis severity in an HCV patient cohort.

conclusionMatrix stiffness shapes early HSC activation trajectories toward transcriptional programs associated with regeneration or fibrosis. These findings support stiffness-controlled culture systems as improved models of HSC activation and provide a framework for regenerative and antifibrotic strategies.

Indexed as

Hepatic stellate cellsLiver fibrosisMechanotransductionNrf2Pseudotime analysisRegenerationRNA velocitySingle-cell RNA sequencingStiffnessYAP

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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.