Abstract: Disclosed herein are methods and tests for diagnosing and/or monitoring a metabolic condition such as diabetes in a subject, wherein the methods and tests measure salivary glycoproteins. Some of the methods are based on the oxidation of glycoproteins in a sample from the subject, such as saliva or urine, for example using sodium metaperiodate, and then detecting the aldehydes generated during oxidation using a chemical detection method. Also disclosed are kits and lateral flow devices for detecting glycoproteins in a saliva sample.

Abstract: Embodiments herein relate to the field of screening tools for fetal/maternal wellness, and, more specifically, to biomarkers for gestational diabetes. In various embodiments, the methods may provide non-invasive and minimally-invasive screening tools for gestational diabetes that involve detection of changes in a proteomic profile of a test sample relative to a reference sample. In particular embodiments, the method may include determining whether a proteomic profile of a test sample from the subject includes at least one expression signature characteristic of gestational diabetes, wherein the proteomic profile comprises information on the expression of glycosylated fibronectin and glycosylated PSG, for example information on levels of fibronectin-SNA or a fibronectin-antibody complex, and PSG-AAL or a PSG-antibody complex.

Abstract: Embodiments herein relate to the field of screening tools for fetal/maternal wellness, and, more specifically, to biomarkers for gestational diabetes. In various embodiments, the methods may provide non-invasive and minimally-invasive screening tools for gestational diabetes that involve detection of changes in a proteomic profile of a test sample relative to a reference sample. In particular embodiments, the method may include determining whether a proteomic profile of a test sample from the subject includes at least one expression signature characteristic of gestational diabetes, wherein the proteomic profile comprises information on the expression of glycosylated fibronectin and glycosylated PSG, for example information on levels of fibronectin-SNA or a fibronectin-antibody complex, and PSG-AAL or a PSG-antibody complex.

Abstract: Embodiments herein relate to the field of screening tools for fetal/maternal wellness, and, more specifically, to biomarkers for gestational diabetes. In various embodiments, the methods may provide non-invasive and minimally-invasive screening tools for gestational diabetes that involve detection of changes in a proteomic profile of a test sample relative to a reference sample. In particular embodiments, the method may include determining whether a proteomic profile of a test sample from the subject includes at least one expression signature characteristic of gestational diabetes, wherein the proteomic profile comprises information on the expression of glycosylated fibronectin and glycosylated PSG, for example information on levels of fibronectin-SNA or a fibronectin-antibody complex, and PSG-AAL or a PSG-antibody complex.

Abstract: Embodiments herein relate to the field of screening tools for fetal/maternal wellness, and, more specifically, to biomarkers for gestational diabetes. In various embodiments, the methods may provide non-invasive and minimally-invasive screening tools for gestational diabetes that involve detection of changes in a proteomic profile of a test sample relative to a reference sample. In particular embodiments, the method may include determining whether a proteomic profile of a test sample from the subject includes at least one expression signature characteristic of gestational diabetes, wherein the proteomic profile comprises information on the expression of glycosylated fibronectin and glycosylated PSG, for example information on levels of fibronectin-SNA or a fibronectin-antibody complex, and PSG-AAL or a PSG-antibody complex.

Abstract: Methods for identifying individuals who are not yet diabetic (pre-diabetic), but who are at significant risk of developing diabetes, such as type 2 diabetes, are disclosed herein. Methods are also provided for the identification of diabetic subjects. Also disclosed are methods for identifying individuals with diabetic complications. The methods include the identification of an overall glycosylation profile of proteins in a biological fluid, such as saliva, urine, or serum. In some examples, the methods include determining the amount of one or more protein in a biological fluid or determining the glycosylation pattern of one or more proteins in a biological fluid.

Abstract: Methods for identifying individuals who are not yet diabetic (pre-diabetic), but who are at significant risk of developing diabetes, such as type 2 diabetes, are disclosed herein. Methods are also provided for the identification of diabetic subjects. Also disclosed are methods for identifying individuals with diabetic complications. The methods include the identification of an overall glycosylation profile of proteins in a biological fluid, such as saliva, urine, or serum. In some examples, the methods include determining the amount of one or more protein in a biological fluid or determining the glycosylation pattern of one or more proteins in a biological fluid.

Abstract: Methods for identifying individuals who are not yet diabetic (pre-diabetic), but who are at significant risk of developing diabetes, such as type 2 diabetes, are disclosed herein. Methods are also provided for the identification of diabetic subjects. Also disclosed are methods for identifying individuals with diabetic complications. The methods include the identification of an overall glycosylation profile of proteins in a biological fluid, such as saliva, urine, or serum. In some examples, the methods include determining the amount of one or more protein in a biological fluid or determining the glycosylation pattern of one or more proteins in a biological fluid.

Abstract: Non-invasive methods are provided herein for the diagnosis of pre-diabetes and diabetes using biomarkers identified in a biological fluid, such as saliva. These biomarkers can be identified using proteomic methods, including but not limited to antibody based methods, such as an enzyme-linked immunosorbant assay (ELISA), a radioimmunoassay (RIA), or a lateral flow immunoassay.

Abstract: Methods for identifying individuals who are not yet diabetic (pre-diabetic), but who are at significant risk of developing diabetes, such as type 2 diabetes, are disclosed herein. Methods are also provided for the identification of diabetic subjects. Also disclosed are methods for identifying individuals with diabetic complications. The methods include the identification of an overall glycosylation profile of proteins in a biological fluid, such as saliva, urine, or serum. In some examples, the methods include determining the amount of one or more protein in a biological fluid or determining the glycosylation pattern of one or more proteins in a biological fluid.

Abstract: Methods for identifying individuals who are not yet diabetic (pre-diabetic), but who are at significant risk of developing diabetes, such as type 2 diabetes, are disclosed herein. Methods are also provided for the identification of diabetic subjects. Also disclosed are methods for identifying individuals with diabetic complications. The methods include the identification of an overall glycosylation profile of proteins in a biological fluid, such as saliva, urine, or serum. In some examples, the methods include determining the amount of one or more protein in a biological fluid or determining the glycosylation pattern of one or more proteins in a biological fluid.

Abstract: Methods for identifying individuals who are not yet diabetic (pre-diabetic), but who are at significant risk of developing diabetes, such as type 2 diabetes, are disclosed herein. Methods are also provided for the identification of diabetic subjects. Also disclosed are methods for identifying individuals with diabetic complications. The methods include the identification of an overall glycosylation profile of proteins in a biological fluid, such as saliva, urine, or serum. In some examples, the methods include determining the amount of one or more protein in a biological fluid or determining the glycosylation pattern of one or more proteins in a biological fluid.

Abstract: Methods for identifying individuals who are not yet diabetic (pre-diabetic), but who are at significant risk of developing diabetes, such as type 2 diabetes, are disclosed herein. Methods are also provided for the identification of diabetic subjects. Also disclosed are methods for identifying individuals with diabetic complications. The methods include the identification of an overall glycosylation profile of proteins in a biological fluid, such as saliva, urine, or serum. In some examples, the methods include determining the amount of one or more protein in a biological fluid or determining the glycosylation pattern of one or more proteins in a biological fluid.

Abstract: Non-invasive methods are provided herein for the diagnosis of pre-diabetes and diabetes using biomarkers identified in a biological fluid, such as saliva. These biomarkers can be identified using proteomic methods, including but not limited to antibody based methods, such as an enzyme-linked immunosorbant assay (ELISA), a radioimmunoassay (RIA), or a lateral flow immunoassay.

Abstract: Methods for identifying individuals who are not yet diabetic (pre-diabetic), but who are at significant risk of developing diabetes, such as type 2 diabetes, are disclosed herein. Methods are also provided for the identification of diabetic subjects. Also disclosed are methods for identifying individuals with diabetic complications. The methods include the identification of an overall glycosylation profile of proteins in a biological fluid, such as saliva, urine, or serum. In some examples, the methods include determining the amount of one or more protein in a biological fluid or determining the glycosylation pattern of one or more proteins in a biological fluid.