Evidence map›Paper›PMID 29170554›Full record

ArticleNature materials2017

Mechanotransduction-modulated fibrotic microniches reveal the contribution of angiogenesis in liver fibrosis.

Longwei Liu, Zhifeng You, Hongsheng Yu, Lyu Zhou, Hui Zhao, Xiaojun Yan, Dulei Li, Bingjie Wang, Lu Zhu, Yuzhou Xu and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

84 citing papers in PubMed, 163 citations in OpenAlex.

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24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Longwei LiuDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Zhifeng YouDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Hongsheng YuDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Lyu ZhouDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Hui ZhaoDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Xiaojun YanDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Dulei LiInstitute for Immunology, School of Medicine, Tsinghua University, Beijing 100084, China.
Bingjie WangDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Lu ZhuDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Yuzhou XuSequencing core facility, Tsinghua University, Beijing 100084, China.
Tie XiaInstitute for Immunology, School of Medicine, Tsinghua University, Beijing 100084, China.
Yan ShiInstitute for Immunology, School of Medicine, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-6715-7681
Chenyu HuangDepartment of Dermatology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China.ORCID 0000-0001-9521-5650
Wei HouTianjin Second People's Hospital and Tianjin Institute of Hepatology, Tianjin 300192, China.
Yanan DuDepartment of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing 100084, China.
Tsinghua University · CNBeijing Tsinghua Chang Gung Hospital · CNTianjin People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of pathological angiogenesis on liver fibrogenesis is still unknown. Here, we developed fibrotic microniches (FμNs) that recapitulate the interaction of liver sinusoid endothelial cells (LSECs) and hepatic stellate cells (HSCs). We investigated how the mechanical properties of their substrates affect the formation of capillary-like structures and how they relate to the progression of angiogenesis during liver fibrosis. Differences in cell response in the FμNs were synonymous of the early and late stages of liver fibrosis. The stiffness of the early-stage FμNs was significantly elevated due to condensation of collagen fibrils induced by angiogenesis, and led to activation of HSCs by LSECs. We utilized these FμNs to understand the response to anti-angiogenic drugs, and it was evident that these drugs were effective only for early-stage liver fibrosis in vitro and in an in vivo mouse model of liver fibrosis. Late-stage liver fibrosis was not reversed following treatment with anti-angiogenic drugs but rather with inhibitors of collagen condensation. Our work reveals stage-specific angiogenesis-induced liver fibrogenesis via a previously unrevealed mechanotransduction mechanism which may offer precise intervention strategies targeting stage-specific disease progression.

Indexed as

Cellular MicroenvironmentMechanotransduction, CellularEndothelial CellsHepatic Stellate CellsHumansLiver CirrhosisMaleNeovascularization, Pathologic

Identifiers

PMID29170554
OpenAlexW2768160230

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.