Evidence map›Paper›PMID 41457391›Full record

ArticleAnalytical chemistry2026

Filtration-Based Rapid ECM-Hydrogel Elimination Enables Robust MALDI MSI of Intestinal Organoids.

Fangyuan Zhang, Xinxin Shen, Jie Yuan, Jiayi Ye, Jian Sui, Huimin Tao, Jianfeng Xu, Yang Ye, Youhong Hu, Bo Wang and 2 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Fangyuan ZhangSchool of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310058, China.
Xinxin ShenShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Jie YuanShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Jiayi YeShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Jian SuiShanghai Zenith Biotechnology Co., Ltd., Shanghai 201203, China.
Huimin TaoSchool of Basic Medical Sciences, Tsinghua University, Beijing 100084, China.
Jianfeng XuHepatobiliary Surgery, Department of General Surgery, Huashan Hospital and Cancer Metastasis Institute, Fudan University, Shanghai 200040, China.
Yang YeShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Youhong HuSchool of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310058, China.ORCID 0000-0003-1770-6272
Bo WangAcademy of Military Medical Sciences, Beijing 100850, China.
Jingqing HuTianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Jia LiuSchool of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310058, China.ORCID 0000-0002-8167-9750

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) offers a powerful approach for the 2D metabolic profiling of intestinal organoids. However, its application remains constrained by challenges in sample preparation. Conventional extracellular matrix (ECM)-based hydrogel removal methods, such as repeated centrifugation or enzymatic digestion, are labor-intensive and time-consuming, often causing structural disruption of organoids and degradation of metabolites, thereby compromising the spectral quality and metabolite coverage. In this study, we established a filtration-based rapid ECM-hydrogel elimination (FREE) method using a 70 μm filter, which reduced treatment time from 75 to 25 min while preserving organoid structural integrity, cell viability, and metabolic stability and, more importantly, improved data quality, with a 26.6% increase in metabolite coverage and enhanced signal intensity. Applying this workflow to an LPS-induced inflammatory intestinal organoid model, we observed spatial metabolic remodeling associated with epithelial polarity disruption. Notably, phosphatidylserine (PS) became enriched at the apical membrane, while phosphatidylethanolamine (PE) exhibited a basolateral side, suggesting a link between loss of polarity and early apoptotic signaling. Overall, FREE provides an efficient pretreatment strategy that enables MSI research on intestinal organoids to dissect the mechanisms of inflammation-associated metabolic remodeling.

Indexed as

Extracellular MatrixFiltrationHydrogelsIntestinesOrganoidsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsHumansMiceHydrogels

Identifiers

PMID41457391
PMCPMC12809645

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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.