Evidence map›Paper›PMID 41632093›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Multimodal AI-Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1.

Weijiang Lin, Wenzhuo Xu, Kang Liu, Ping Wang, Zhenzhen Zhu, Wenyu Lu, Zhe Zheng, Xiaoqian Peng, Xunkai Yin, Shulan Mei and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

13 authors.

Weijiang LinJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Wenzhuo XuJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Kang LiuDepartment of Nephrology, the First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital), Nanjing Medical University, Nanjing, P. R. China.
Ping WangJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Zhenzhen ZhuJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Wenyu LuSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Zhe ZhengJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Xiaoqian PengSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Xunkai YinJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Shulan MeiJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
An PanJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Jian LiuJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.ORCID https://orcid.org/0000-0001-9482-9036
Lihong HuJiangsu Key Laboratory for Functional Substance of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, P. R. China.

Funding

Jiangsu Province's Major Science and Technology Project BG2025030National Natural Science Foundation of China 82073719National Natural Science Foundation of China 82304803National Natural Science Foundation of China U2102201National Natural Science Foundation of China U24A20785Natural Science Foundation of Jiangsu BK20211301Natural Science Foundation of Nanjing University of Chinese Medicine NZY81703342Open Project of Chinese Materia Medica First-Class Discipline of Nanjing University of Chinese Medicine ZYXJC2024-007Project of Institute of Chinese Medicine, Nanjing University and Aid Project of Nanjing Drum Tower Hospital Health, Education & Research Foundation ICM2024022Scientific and technological innovation project of China Academy of Chinese Medical Sciences, and the Postgraduate Research and Practice Innovation Program of Jiangsu Province KYCX21_1720Scientific and technological innovation project of China Academy of Chinese Medical Sciences, and the Postgraduate Research and Practice Innovation Program of Jiangsu Province KYCX21_1791Scientific and technological innovation project of China Academy of Chinese Medical Sciences, and the Postgraduate Research and Practice Innovation Program of Jiangsu Province KYCX22_2001Scientific and technological innovation project of China Academy of Chinese Medical Sciences, and the Postgraduate Research and Practice Innovation Program of Jiangsu Province KYCX25_2272Scientific and technological innovation project of China Academy of Chinese Medical Sciences, and the Postgraduate Research and Practice Innovation Program of Jiangsu Province SJCX23_0744
6 · The paper itself

Abstract

Renal fibrosis, a hallmark of chronic kidney disease (CKD), remains a critical therapeutic challenge with limited effective interventions. Herein, we proposed a multimodal AI-driven Traditional Chinese Medicine (TCM) symptom prediction model (TCM-SPred) and predicted potential herb-symptom associations between herbs and symptoms to obtain agents for treating renal fibrosis. The prediction results of TCM-SPred revealed that a natural guaianolide sesquiterpene lactone derivative dehydrocostus lactone (DCL, a main chemical constituent of Aucklandiae Radix) demonstrated significant anti-fibrotic effects in vivo (unilateral ureteral obstruction) and in vitro (TGF-β1-induced epithelial-mesenchymal transition). DCL directly targeted IQGAP1 to inhibit the Wnt signaling pathway by blocking the interaction between IQGAP1 and CCT3. These findings highlight the potential of DCL as a promising therapeutic candidate for renal fibrosis, providing novel insights into the IQGAP1-CCT3-Wnt signaling axis as a potential target for renal fibrosis intervention.

Indexed as

FibrosisKidneyLactonesras GTPase-Activating ProteinsRenal Insufficiency, ChronicSesquiterpenesAnimalsDisease Models, AnimalEpithelial-Mesenchymal TransitionHumansWnt Signaling Pathwaydehydrocostus lactoneIQ motif containing GTPase activating protein 1Lactonesras GTPase-Activating ProteinsSesquiterpenesAI‐drivenAucklandiae RadixCCT3DCLIQGAP1renal fibrosis

Identifiers

PMID41632093
PMCPMC13067758

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.