Raman Imaging Plus Omics May Enable Noninvasive Senescence Detection
A study offers initial evidence that Raman spectroscopy could measure senescent cell burden in tissue without invasive sampling. The authors combined label-free hyperspectral Raman imaging with single-nucleus RNA sequencing and spatial transcriptomics in young and old mouse lung and skin. They identified tissue-specific senescence patterns and a conserved lipid-associated Raman signal for p21-positive senescent cells, allowing nondestructive detection in situ and in a wound-healing model.
The work is an early proof of concept that Raman spectroscopy might gauge senescent cell burden without taking tissue samples. Raman imaging detects molecular differences through photon scattering, allowing cell-level biochemical signatures.
By combining label-free hyperspectral Raman imaging with single-nucleus RNA sequencing and spatial transcriptomics, researchers compared young and old mouse lung and skin. They found distinct tissue patterns, plus a shared lipid-related Raman signal in p21-positive senescent cells, and used machine learning to create a marker combination for non-destructive identification, including in a wound-healing model.
If validated in humans, this approach may reduce need for biopsies when tracking senescence, potentially benefiting older adults and patients with chronic wounds or age-related conditions. Clinicians could monitor treatments aimed at senescent cells less invasively. However, mouse studies require translation; cost, access, and validation remain uncertain. It may also raise questions about interpreting risk from measured senescent burden.