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Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page. Refer to the copyright information in the article for licensing details. Free full text in Europe PMC. Reliable protein markers for pre-diabetes in humans are not clinically available.
In order to identify novel and reliable protein markers for pre-diabetes in humans, healthy volunteers and patients diagnosed with pre-diabetes and stroke were recruited for blood collection. Blood samples were collected from healthy and pre-diabetic subjects 12 h after fasting. BMI was calculated from body weight and height.
Fasting blood glucose FBG , glycated hemoglobin Hb A1C , triglyceride TG , total cholesterol, high-density lipoprotein, low-density lipoprotein LDL , insulin and albumin were assayed by automated clinical laboratory methods. We used a quantitative proteomics approach to identify proteins from the sera of pre-diabetic and healthy subjects.
Among them, proteins were then selected using Mascot analysis scores. Further, 70 out of proteins were selected via volcano plot analysis according to their statistical significance and average relative protein ratio. Eventually, 7 serum proteins were singled out as candidate markers for pre-diabetes due to their diabetic relevance and statistical significance. Receiver operating characteristic curve analysis indicated that the combination of the three proteins has greater diagnostic efficacy than any individual protein.