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The ³¹P Spectral Modulus and Corneal Metabolism.

Jack V Greiner¹, Tamara I Snogren², Thomas Glonek³

¹Department of Ophthalmology, Harvard Medical School, Boston, MA; Schepens Eye Research Institute of Massachusetts Eye & Ear, Boston, MA; Department of Ophthalmology, Tufts University School of Medicine, Boston, MA; Clinical Eye Research of Boston, Boston, MA; Magnetic Resonance Laboratory, Chicago College of Osteopathic Medicine, Chicago, IL.

Experimental Eye Research

|June 12, 2026

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This summary is machine-generated.

Phosphorus-31 nuclear magnetic resonance (31P NMR) spectroscopy measures corneal metabolic health using the phosphorus spectral modulus (PSM). Higher PSM values indicate healthier corneas, even with low signal detection.

Area of Science:

Ophthalmology
Biochemistry
Medical Imaging

Background:

Corneal metabolic health is crucial for tissue maintenance.
Assessing metabolic status in individual corneas presents challenges.
Phosphorus-31 nuclear magnetic resonance (31P NMR) spectroscopy offers a potential solution.

Purpose of the Study:

To introduce and validate the phosphorus spectral modulus (PSM) as an index of corneal metabolic health.
To demonstrate the utility of 31P NMR spectroscopy for assessing metabolic status in corneas.
To establish a method for measuring metabolic health in individual corneas, even under metabolic stress.

Main Methods:

Utilized phosphorus-31 nuclear magnetic resonance (31P NMR) spectroscopy to analyze organophosphates in corneal tissues.

Keywords:

(31)P spectral modulus ATP NMR adenosine triphosphate cornea high-energy phosphates low-energy phosphates metabolic health nuclear magnetic resonance phosphate metabolism phosphorus-31 nuclear magnetic resonance

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Calculated the phosphorus spectral modulus (PSM) from the 31P NMR spectrum, representing the ratio of high-energy to low-energy phosphates.

Employed the integral function of 31P NMR spectroscopy for measurements with low signal-to-noise ratios.

Main Results:

The PSM effectively differentiates between metabolically healthy and stressed corneas.
Normal corneas exhibited a higher average PSM (1.16±0.06) compared to stressed corneas (0.80±0.12).
PSM determination is feasible even with minimal tissue volume and low signal-to-noise spectra.

Conclusions:

The PSM is a reliable numerical assay for assessing corneal metabolic health.
Higher metabolic activity correlates with a higher PSM.
This method is suitable for evaluating individual corneas, offering a valuable tool for research and clinical applications.