A lipid atlas of the human kidney

Tissue atlases provide foundational knowledge on the cellular organization and molecular distributions across molecular classes and spatial scales. Here, we construct a comprehensive spatiomolecular lipid atlas of the human kidney from 29 donor tissues using integrated multimodal molecular imaging. Our approach leverages high-spatial-resolution matrix-assisted laser desorption/ionization imaging mass spectrometry for untargeted lipid mapping, stained microscopy for histopathological assessment, and tissue segmentation using autofluorescence microscopy. With a combination of unsupervised, supervised, and interpretable machine learning, the atlas provides multivariate lipid profiles of specific multicellular functional tissue units (FTUs) of the nephron, including the glomerulus, proximal tubules, thick ascending limb, distal tubules, and collecting ducts. In total, the atlas consists of tens of thousands of FTUs and millions of mass spectrometry measurements. Detailed patient, clinical, and histopathologic information allowed molecular data to be mined on the basis of these features. As examples, we highlight the discovery of how lipid profiles are altered with sex and differences in body mass index.

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Publication Details

Journal
Science Advances
Published
2025-06-11
DOI
https://doi.org/10.1126/sciadv.adu3730
Citations
6
Primary Topic
Birth, Development, and Health
Type
article
Field-Weighted Citation Impact
27.95
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article

A lipid atlas of the human kidney

Katerina Djambazova, Raf Van de Plas, Madeline E. Colley, Agnes B. Fogo et al.
6 citations
Science Advances
Birth, Development, and Health
27.95
article

A lipid atlas of the human kidney

Katerina Djambazova, Raf Van de Plas, Madeline E. Colley, Agnes B. Fogo, Jamie Allen, Maya Brewer, Emilio Rivera, Raymond Clement Harris, Carrie Romer, Martin Dufresne, Angela Kruse, Mark A. Farrow, Lukasz G. Migas, Jeffrey M. Spraggins, Nathan Heath Patterson, Elizabeth K. Neumann, Kavya Sharman, Haichun Yang, Danielle Gutierrez, Léonore Tideman, Richard M. Caprioli, Ellie L. Pingry, Mark P. de Caestecker
article en
6 citations

Abstract

Tissue atlases provide foundational knowledge on the cellular organization and molecular distributions across molecular classes and spatial scales. Here, we construct a comprehensive spatiomolecular lipid atlas of the human kidney from 29 donor tissues using integrated multimodal molecular imaging. Our approach leverages high-spatial-resolution matrix-assisted laser desorption/ionization imaging mass spectrometry for untargeted lipid mapping, stained microscopy for histopathological assessment, and tissue segmentation using autofluorescence microscopy. With a combination of unsupervised, supervised, and interpretable machine learning, the atlas provides multivariate lipid profiles of specific multicellular functional tissue units (FTUs) of the nephron, including the glomerulus, proximal tubules, thick ascending limb, distal tubules, and collecting ducts. In total, the atlas consists of tens of thousands of FTUs and millions of mass spectrometry measurements. Detailed patient, clinical, and histopathologic information allowed molecular data to be mined on the basis of these features. As examples, we highlight the discovery of how lipid profiles are altered with sex and differences in body mass index.

Science AdvancesVol. 11(24)
Vanderbilt University (US), Vanderbilt University Medical Center (US), Delft University of Technology (NL)
Openalex Percentile: Top 0%
Birth, Development, and Health
27.95
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