Abstract
Current proteomic strategies exploit the measurement of hundreds-to-thousands of potential biomarkers to establish profiles of disease risk. We propose an alternative strategy - inverse proteomics - which utilizes just one marker to monitor the status of many biomolecules all at once. Water is an attractive surveillance system, as it forms hydrogen bonds with virtually every protein, lipoprotein and metabolite in human blood. Here we show that the mobility of water in plasma and serum samples from apparently healthy human subjects correlates with known markers of inflammation, insulin resistance, dyslipidemia and possibly, oxidative stress. Water mobility is assessed in a six-minute experiment that requires no sample manipulations or chemical reactions. Rather, the spin-spin relaxation time constant (T 2 ) is measured non-invasively using benchtop time-domain nuclear magnetic resonance. The current discovery provides a framework for developing a simple blood test that could identify individuals with hidden risk for diabetes, atherosclerosis and Alzheimer’s disease.
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