Evidence map›Paper›PMID 42431928›Full record

ArticleNature communications2026

Molecular imaging-guided discovery of a potent natural FAPα inhibitor for liver fibrosis therapy.

Wenze Zhang, Jiwei Li, Lei Sun, Chaoran Li, Kaiyu Zhang, Zhiying He, Guangyi Yang, Boyang Yu, Fengguo Xu, Haijun Xu and 2 more

Abstract read
In one paragraph

Article in Nature communications, 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

12 authors.

Wenze Zhang *Pukou Hospital of Chinese Medicine affiliated to China Pharmaceutical University, China Pharmaceutical University, Nanjing, China.ORCID http://orcid.org/0000-0002-0999-8300
Jiwei Li *Pukou Hospital of Chinese Medicine affiliated to China Pharmaceutical University, China Pharmaceutical University, Nanjing, China.
Lei Sun *Jiangsu Co-innovation Center of Efficient Processing and Utilization of Forest Resources, Key Laboratory of Forestry Genetics & Biotechnology of Ministry of Education, Jiangsu Key Laboratory for the Chemistry and Utilization of Agroforest Biomass, College of Chemical Engineering, Nanjing Forestry University, Nanjing, China.
Chaoran LiPukou Hospital of Chinese Medicine affiliated to China Pharmaceutical University, China Pharmaceutical University, Nanjing, China.
Kaiyu ZhangPukou Hospital of Chinese Medicine affiliated to China Pharmaceutical University, China Pharmaceutical University, Nanjing, China.
Zhiying HePukou Hospital of Chinese Medicine affiliated to China Pharmaceutical University, China Pharmaceutical University, Nanjing, China.
Guangyi YangGuangdong Provincial Key Laboratory of Nanophotonic Manipulation, Institute of Nanophotonics, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, China.
Boyang YuPukou Hospital of Chinese Medicine affiliated to China Pharmaceutical University, China Pharmaceutical University, Nanjing, China.
Fengguo XuPukou Hospital of Chinese Medicine affiliated to China Pharmaceutical University, China Pharmaceutical University, Nanjing, China. fengguoxu@cpu.edu.cn.
Haijun XuJiangsu Co-innovation Center of Efficient Processing and Utilization of Forest Resources, Key Laboratory of Forestry Genetics & Biotechnology of Ministry of Education, Jiangsu Key Laboratory for the Chemistry and Utilization of Agroforest Biomass, College of Chemical Engineering, Nanjing Forestry University, Nanjing, China. xuhaijun@njfu.edu.cn.
Xianchuang ZhengGuangdong Provincial Key Laboratory of Nanophotonic Manipulation, Institute of Nanophotonics, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, China. xczheng@jnu.edu.cn.ORCID http://orcid.org/0000-0002-1076-8959
Jiangwei TianPukou Hospital of Chinese Medicine affiliated to China Pharmaceutical University, China Pharmaceutical University, Nanjing, China. jwtian@cpu.edu.cn.ORCID http://orcid.org/0000-0003-1018-4694

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52373287
6 · The paper itself

Abstract

Liver fibrosis can progress to cirrhosis and hepatocellular carcinoma, yet effective antifibrotic therapies remain limited. Fibroblast activation protein α (FAPα) is a promising biomarker and therapeutic target, but existing probes are constrained by limited tissue penetration and single-modality imaging, and effective FAPα-targeted antifibrotic agents remain lacking. Here we show that Cs-FAP, a hemicyanine-based near-infrared fluorescence/photoacoustic dual-modal probe, enables real-time and noninvasive visualization of FAPα activity in fibrotic liver tissue. Using a Cs-FAP-guided screening platform integrating high-content imaging and chromatographic purification, we screened 95 medicinal herbs and identified sappanchalcone (Sap) as a potent low-toxicity FAPα inhibitor. Sap markedly attenuated fibrosis progression and improved liver function in multiple liver fibrosis models using male mice. Mechanistically, Sap suppressed hepatic stellate cell activation through inhibition of the FAPα-PI3K-AKT signaling pathway. These findings establish Cs-FAP as a versatile platform for fibrosis imaging and drug discovery and identify Sap as a promising antifibrotic candidate.

Indexed as

Antifibrotic AgentsChalconesGelatinasesLiver CirrhosisMembrane ProteinsMolecular ImagingSerine EndopeptidasesAnimalsDrug DiscoveryEndopeptidasesFibroblast Activation Protein AlphaHepatic Stellate CellsHumansLiverMaleMiceAntifibrotic AgentsChalconesEndopeptidasesFibroblast Activation Protein AlphaGelatinasesMembrane ProteinsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSerine Endopeptidases

Identifiers

PMID42431928
PMCPMC13483048

What OpenQuestion holds

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Registered trials

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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.