Label-free multimodal optical biopsy reveals biomolecular and morphological features of diabetic kidney tissue in 2D and 3D

Fung, Anthony A., Li, Zhi, Boote, Craig ORCID: https://orcid.org/0000-0003-0348-6547, Markov, Petar, Gaut, Joseph P., Jain, Sanjay and Shi, Lingyan 2025. Label-free multimodal optical biopsy reveals biomolecular and morphological features of diabetic kidney tissue in 2D and 3D. Nature Communications 16 (1) , 4509. 10.1038/s41467-025-59163-w

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Abstract

Kidney disease, the ninth leading cause of death in the United States, suffers from poor diagnostic efficiency (10%). Traditional biopsies use molecular reagents to enhance diagnostic power but are limited by overlapping spatial and chromatic signals, product quality variability, and additional processing. To address these challenges without disrupting routine diagnostics, we implement label-free imaging modalities—stimulated Raman scattering (SRS), second harmonic generation (SHG), and two-photon fluorescence (TPF)—within a single setup. We identify morphological, lipidomic, and metabolic biomarkers in control and diabetic kidney samples at subcellular resolution. Label-free Stimulated Raman Histology (SRH) reveals distinct collagen morphology, mesangial-glomerular volumes, lipid saturation, redox status, and lipid-protein concentrations previously unrecognized in kidney diseases. Using the same tissue section enhances diagnostic value without compromising limited tissue. These multimodal biomarkers broadly deepen the understanding of kidney disease progression by integrating lipidomic, fibrotic, and metabolic data.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Optometry and Vision Sciences
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/, Type: open-access
Publisher:	Nature Research
Date of First Compliant Deposit:	19 May 2025
Date of Acceptance:	14 April 2025
Last Modified:	19 May 2025 16:45
URI:	https://orca.cardiff.ac.uk/id/eprint/178357

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