<sup>13</sup> C-Isotope Tracing Structural Lipidomics for Resolving Phospholipid Metabolism Dynamics in Human Breast Cancer Cells

Phospholipid metabolic homeostasis is critical, yet its dynamic regulation at the structural level remains poorly characterized, particularly from the perspective of metabolic flux analysis. This study presents an RPLC-PB-MS/MS workflow integrating <sup>13</sup>C-glucose isotope tracing and the Paternò-Büchi (PB) reaction for comprehensive investigation of de novo phospholipid synthesis. By precisely mapping <sup>13</sup>C labeling sites, we revealed distinct metabolic rates for various PL structural components. The glycerol backbone showed the fastest metabolism, while within phospholipid acyl chains, SFAs showed a greater contribution to <sup>13</sup>C labeling compared to MUFAs. Furthermore, we quantified the labeling rates of PL C═C location isomers, highlighting dynamic regulation at the C═C location level. Notably, certain low-abundance <i>n</i>-7 isomers exhibited rapid turnover, suggesting potential functional roles in membrane remodeling or signaling. Analysis of three human breast cancer cell lines (MCF-7, MDA-MB-468, and BT-474) further revealed significant differences in PL metabolism dynamics, with MCF-7 cells showing initially rapid but transient labeling after passage, while MDA-MB-468 cells maintained sustained high fluxes. These findings provide insights into the structural specificity and dynamic regulation of phospholipid metabolism in cancer, offering potential therapeutic implications.

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Journal
Analytical Chemistry
Published
2026-01-09
DOI
https://doi.org/10.1021/acs.analchem.5c06789
Primary Topic
Metabolomics and Mass Spectrometry Studies
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article
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article

13 C-Isotope Tracing Structural Lipidomics for Resolving Phospholipid Metabolism Dynamics in Human Breast Cancer Cells

Zhuoning Xie, Qirui Yu, Simin Cheng, Zheng Ouyang et al.
Analytical Chemistry
Metabolomics and Mass Spectrometry Studies
article

13 C-Isotope Tracing Structural Lipidomics for Resolving Phospholipid Metabolism Dynamics in Human Breast Cancer Cells

Zhuoning Xie, Qirui Yu, Simin Cheng, Zheng Ouyang, Dan Li, Xiaoxiao Ma
article en

Abstract

Phospholipid metabolic homeostasis is critical, yet its dynamic regulation at the structural level remains poorly characterized, particularly from the perspective of metabolic flux analysis. This study presents an RPLC-PB-MS/MS workflow integrating <sup>13</sup>C-glucose isotope tracing and the Paternò-Büchi (PB) reaction for comprehensive investigation of de novo phospholipid synthesis. By precisely mapping <sup>13</sup>C labeling sites, we revealed distinct metabolic rates for various PL structural components. The glycerol backbone showed the fastest metabolism, while within phospholipid acyl chains, SFAs showed a greater contribution to <sup>13</sup>C labeling compared to MUFAs. Furthermore, we quantified the labeling rates of PL C═C location isomers, highlighting dynamic regulation at the C═C location level. Notably, certain low-abundance <i>n</i>-7 isomers exhibited rapid turnover, suggesting potential functional roles in membrane remodeling or signaling. Analysis of three human breast cancer cell lines (MCF-7, MDA-MB-468, and BT-474) further revealed significant differences in PL metabolism dynamics, with MCF-7 cells showing initially rapid but transient labeling after passage, while MDA-MB-468 cells maintained sustained high fluxes. These findings provide insights into the structural specificity and dynamic regulation of phospholipid metabolism in cancer, offering potential therapeutic implications.

Analytical ChemistryVol. 98(3)
Research Institute of Precision Instruments (Russia) (RU), Beijing Advanced Sciences and Innovation Center (CN), Tsinghua University (CN)
Good health and well-being
Openalex Percentile: Top 92%
Metabolomics and Mass Spectrometry Studies
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<sup>13</sup> C-Isotope Tracing Structural Lipidomics for Resolving Phospholipid Metabolism Dynamics in Human Breast Cancer Cells — Zhuoning Xie, Qirui Yu, et al. · Analytical Chemistry (2026) | TGRS Research Map | TGRS