Evidence map›Paper›PMID 42828059›Full record

ArticleDrug design, development and therapy2026

Integrated Multi-Omics, Machine Learning, and Single-Cell Analysis Provide Insights into Potential Multi-Target Candidate Mechanisms of Combined MAGL11 and Icaritin in Alleviating Imidazole Propionate-Driven Metabolic Intestinal Injury.

Rongrong Wang, Qingzhou Meng, Xishuang Wang, Mingmin Jiang, Dejun Niu, Guofei Qin, Qun Feng, Yujun Tan, Xu Jiao, Mengdi Zhang and 6 more

Abstract read
In one paragraph

Article in Drug design, development and therapy, 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

16 authors.

Rongrong WangKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, People's Republic of China.
Qingzhou MengKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, People's Republic of China.
Xishuang WangState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, 276005, People's Republic of China.
Mingmin JiangState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, 276005, People's Republic of China.
Dejun NiuState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, 276005, People's Republic of China.
Guofei QinState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, 276005, People's Republic of China.
Qun FengState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, 276005, People's Republic of China.
Yujun TanState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, 276005, People's Republic of China.
Xu JiaoSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
Mengdi ZhangSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
Liyuan GongSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
Wenlong YangSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
Yunshun QiuSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
Jingchun YaoLunan Better Pharmaceutical Co., Ltd., Linyi, 276005, People's Republic of China.
Shirong LiState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co. Ltd., Linyi, 276005, People's Republic of China.
Ming LiuKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Unhealthy diets, especially high red meat intake, induce gut dysbiosis and abnormal accumulation of a harmful histidine metabolite imidazole propionate (IMP), thereby promoting ulcerative colitis (UC) development. Although combined treatment with a MAGL inhibitor (MAGL11) and icaritin (Y003) exerts combined therapeutic effects in the classical DSS‑induced UC model, its protective effects and molecular mechanisms against IMP‑driven metabolic model remain unclear. Purpose: The present study was designed to evaluate the therapeutic effect of MAGL11 and Y003 on IMP‑driven metabolic intestinal injury model and to elucidate the associated molecular mechanisms. Methods: We evaluated the protective effects of MAGL11 and Y003 combination therapy in an IMP-induced intestinal injury model and integrated multi‑omics data to explore the underlying mechanisms. Results: In this short-term preclinical study in male mice, the combined treatment significantly alleviated UC symptoms, suppressed pro‑inflammatory cytokines, repaired the intestinal barrier, corrected metabolic disturbances, and reshaped the gut microbiota. Four hub genes were prioritized by machine learning integrating differential expression analysis and WGCNA of GEO data together with targets of MAGL11+Y003 and fecal metabolites. Molecular docking predicted favorable binding affinities between MAGL11/Y003 and the four target proteins (CA2, ABCB1, ABCG2, MMP3). Single‑cell analysis revealed cell‑type‑specific dysregulation of these genes. Furthermore, CA2, ABCB1, and ABCG2 were downregulated, while MMP3 was upregulated in the colon tissues of IMP‑induced model mice, while the combination therapy reversed these changes. Proteomics and Western blot validation indicated that the therapeutic efficacy of the combination treatment was associated with the suppression of the VEGF and MAPK pathway as well as the modulation of apoptosis- and metabolism-related pathways. Conclusion: Collectively, MAGL11 and Y003 combined therapy alleviates IMP‑driven metabolic intestinal injury through multi‑target, multi‑pathway actions with a greater therapeutic effect, offering a novel strategy for metabolically associated colitis and prioritizing CA2, ABCB1, ABCG2, and MMP3 as candidate treatment-responsive molecules requiring further functional validation.

Indexed as

Colitis, UlcerativeFlavonoidsImidazolesMachine LearningAnimalsDisease Models, AnimalIntestinesMaleMiceMice, Inbred C57BLMolecular Docking SimulationMultiomicsPropionatesFlavonoidsimidazoleImidazolesPropionatesbioinformatic analysesicaritinimidazole propionateintestinal injuryMAGL inhibitorulcerative colitis

Identifiers

PMID42828059
PMCPMC13632816

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.