Author
Listed:
- Xinzhu Li
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Ying Zhu
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Ting Li
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Xinyi Tu
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Shiyu Zhu
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Lingzhi Wang
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Fei Li
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Chenglong Sun
(Qilu University of Technology (Shandong Academy of Sciences))
- Xin Li
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Haiyi Zhao
(Ltd)
- Tang Tang
(Ltd)
- Qingce Zang
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Ruiping Zhang
(Chinese Academy of Medical Sciences and Peking Union Medical College)
- Zeper Abliz
(Chinese Academy of Medical Sciences and Peking Union Medical College
National Ethnic Affairs Commission
Minzu University of China)
Abstract
Organs collaborate to maintain metabolic homeostasis in mammals. Spatial metabolomics makes strides in profiling the metabolic landscape, yet can not directly inspect the metabolic crosstalk between tissues. Here, we introduce an approach to comprehensively trace the metabolic fate of 13C-nutrients within the body and present a robust computational tool, MSITracer, to deep-probe metabolic activity in a spatial manner. By discerning spatial distribution differences between isotopically labeled metabolites from ambient mass spectrometry imaging-based isotope tracing data, this approach empowers us to characterize fatty acid metabolic crosstalk between the liver and heart, as well as glutamine metabolic exchange across the kidney, liver, and brain. Moreover, we disclose that tumor burden significantly influences the host’s hexosamine biosynthesis pathway, and that the glucose-derived glutamine released from the lung as a potential source for tumor glutamate synthesis. The developed approach facilitates the systematic characterization of metabolic activity in situ and the interpretation of tissue metabolic communications in living organisms.
Suggested Citation
Xinzhu Li & Ying Zhu & Ting Li & Xinyi Tu & Shiyu Zhu & Lingzhi Wang & Fei Li & Chenglong Sun & Xin Li & Haiyi Zhao & Tang Tang & Qingce Zang & Ruiping Zhang & Zeper Abliz, 2025.
"Spatial isotope deep tracing deciphers inter-tissue metabolic crosstalk,"
Nature Communications, Nature, vol. 16(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63243-2
DOI: 10.1038/s41467-025-63243-2
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