Evidence map›Paper›PMID 29025875›Full record

ArticleThe Journal of biological chemistry2017

A small-molecule compound inhibits a collagen-specific molecular chaperone and could represent a potential remedy for fibrosis.

Shinya Ito, Koji Ogawa, Koh Takeuchi, Motoki Takagi, Masahito Yoshida, Takatsugu Hirokawa, Shoshiro Hirayama, Kazuo Shin-Ya, Ichio Shimada, Takayuki Doi and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 73 citations in OpenAlex.

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  7. Targeting collagen to optimize cancer immunotherapy.Experimental hematology & oncology · 2025
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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

13 authors at 5 institutions in 1 country.

Shinya ItoInstitute for Protein Dynamics, Kyoto Sangyo University, Kyoto 603-8555; Department of Molecular and Cellular Biology, Institute for Frontier Medical Sciences, Kyoto University, Kyoto 606-8507.
Koji OgawaNational Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064.
Koh TakeuchiNational Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064.
Motoki TakagiJapan Biological Informatics Consortium (JBIC), Tokyo 135-0064.
Masahito YoshidaGraduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578.
Takatsugu HirokawaNational Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064.
Shoshiro HirayamaLaboratory of Protein Metabolism, Tokyo 113-0033.
Kazuo Shin-YaNational Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064.
Ichio ShimadaDivision of Physical Chemistry, Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo 113-0033.
Takayuki DoiGraduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8578.
Naoki GoshimaNational Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064.
Tohru NatsumeNational Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064. Electronic address: t-natsume@aist.go.jp.
Kazuhiro NagataInstitute for Protein Dynamics, Kyoto Sangyo University, Kyoto 603-8555; Department of Molecular Biosciences, Faculty of Life Sciences, Kyoto Sangyo University, Kyoto 603-8555, Japan; Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency, Kyoto 603-8555, Japan. Electronic address: nagata@cc.kyoto-su.ac.jp.
National Institute of Advanced Industrial Science and Technology · JPKyoto Sangyo University · JPTohoku University · JPJapan Biological Informatics Consortium · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis can disrupt tissue structure and integrity and impair organ function. Fibrosis is characterized by abnormal collagen accumulation in the extracellular matrix. Pharmacological inhibition of collagen secretion therefore represents a promising strategy for the management of fibrotic disorders, such as liver and lung fibrosis. Hsp47 is an endoplasmic reticulum (ER)-resident collagen-specific molecular chaperone essential for correct folding of procollagen in the ER. Genetic deletion of Hsp47 or inhibition of its interaction with procollagen interferes with procollagen triple helix production, which vastly reduces procollagen secretion from fibroblasts. Thus, Hsp47 could be a potential and promising target for the management of fibrosis. In this study, we screened small-molecule compounds that inhibit the interaction of Hsp47 with collagen from chemical libraries using surface plasmon resonance (BIAcore), and we found a molecule AK778 and its cleavage product Col003 competitively inhibited the interaction and caused the inhibition of collagen secretion by destabilizing the collagen triple helix. Structural information obtained with NMR analysis revealed that Col003 competitively binds to the collagen-binding site on Hsp47. We propose that these structural insights could provide a basis for designing more effective therapeutic drugs for managing fibrosis.

Indexed as

Binding, CompetitiveBinding SitesCollagenDrug DesignFibrosisHigh-Throughput Screening AssaysHSP47 Heat-Shock ProteinsHumansProcollagenSmall Molecule LibrariesCollagenHSP47 Heat-Shock ProteinsProcollagenSmall Molecule Librariescollagendrug screeningendoplasmic reticulum (ER)fibrosisheat-shock protein (HSP)HSP47molecular chaperoneprotein-protein interactionserpinH1

Identifiers

PMID29025875
PMCPMC5723997
OpenAlexW2760821464

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.