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Article Abstract
With the development of precision medicine and single-cell analysis, spatial metabolomics has become a hotspot in the biomedical field. However, current spatial metabolomics methods are still unable to meet the demand for the integration of spatial omics in terms of metabolite coverage, isomer differentiation, and applicability of clinical samples. Therefore, this study developed an analytical strategy based on laser capture microdissection-assisted gas chromatography-triple-quadruple mass spectrometry to characterize metabolic profile differences in clinical tissue sections. The extraction and derivatization methods were optimized separately. Analytical characteristics evaluation showed intra- and inter-day precision within 20 %, with most metabolites exhibiting linear ranges spanning three orders of magnitude. Using this method, metabolic profiles of five morphologies in esophageal squamous cell carcinoma (ESCC) and adjacent normal tissue (ANT) sections were characterized, identifying 88 metabolites across multiple categories. ANT tissues exhibited metabolic diversity across different morphologies, with cancer nest metabolic profiles in ANT being closer to those of ESCC. Squamous epithelial hyperplasia tissues showed dramatically lower levels of amino-containing compounds than other morphologies. This study presents a spatial metabolomics analysis method with good robustness and clinical applicability, offering valuable methodological support for clinical spatial omics applications.
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| http://dx.doi.org/10.1016/j.jpba.2025.117036 | DOI Listing |
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