If that headline above doesn't grab your attention, I'm not sure what will! You can check out an overview of this article at Medical Express here (warning, definitely an ad-revenue driven site).
What it talks about, however, is this article that is open access at Oncotarget. A ton of researchers threw in on this one, and they needed to cause this dataset looks at more than 11,000 patient urine samples in an attempt to differentiate aging from aging diseases. This might be a good benchmark for the robustness of an Orbitrap Velos! 11,000 people's pee? No problem! Go S-lens go!
The breakdown was over 1,000 control/healthy individuals and the other 10,000 were between the age of 25 and 86 and suffered from a variety of ailments considered to be pathological aging effects.
After robust statiscal analysis, they pulled out about 100 proteins that appear to be sincerely age-linked and did some nice pathway analysis. The article above maybe kinda sensationalized the paper a little, but if we're gonna slow this stuff down we've first got to understand it better so I won't complain too much!
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