BACKGOUND: Ultra-processed food (UPF) accounts for a majority of calories consumed in the United States, but the impact on human health remains unclear. We aimed to identify poly-metabolite scores in blood and urine that are predictive of UPF intake.
Here, by state-of-the-art mass spectrometry-based quantitative proteomic technology, we systematically screened the potential neo-substrates of a novel thalidomide derived cereblon modulator CC-885.
