Abstract: Autofluorescence is the inherent emission of light from cells or tissues that occurs when biological samples are exposed to different wavelengths of excitation light. Tissue autofluorescence is usually ascribed to biological components such as flavins, porphyrins, chlorophyll (in plants), collagen, elastin, red blood cells (RBCs), and lipofuscin. Tissue autofluorescence often presents a significant problem in microscopy, pathology, and surgical applications. Autofluorescence interferes and complicates signal detection in a variety of fluorescence microscopy methods. Tissue autofluorescence reduces the signal detection sensitivity, and in some cases may cause failure in the detection of fluorescent dye signals. Accordingly, there is a need for further improved methods to decrease the autofluorescence intensity from microscopy samples both in research and clinical venues.

Abstract: Type 1 diabetes (T1D) patients make antibodies to self-proteins that are potential biomarkers for early detection and risk prediction. We have identified seventeen antigens as biomarkers for early diagnosis and risk prediction of T1D, including the antigens MLH1, MTIF3, PPIL2, NUP50, TOX4, FIGN, C9orf142, ZNF280D, HES1, QRFPR, CTRC, SNX6, SYTL4, ELA2A, IGRP, PAX6, and HMGN3.

Abstract: Type 1 diabetes (T1D) patients make antibodies to self-proteins that are potential biomarkers for early detection and risk prediction. We have identified seventeen antigens as biomarkers for early diagnosis and risk prediction of T1D, including the antigens MLH1, MTIF3, PPIL2, NUP50, TOX4, FIGN, C9orf142, ZNF280D, HES1, QRFPR, CTRC, SNX6, SYTL4, ELA2A, IGRP, PAX6, and HMGN3.

Abstract: Type 1 diabetes (T1D) patients make antibodies to self-proteins that are potential biomarkers for early detection and risk prediction. We have identified seventeen antigens as biomarkers for early diagnosis and risk prediction of T1D, including the antigens MLH1, MTIF3, PPIL2, NUP50, TOX4, FIGN, C9orf142, ZNF280D, HES1, QRFPR, CTRC, SNX6, SYTL4, ELA2A, IGRP, PAX6, and HMGN3.

Abstract: Biomarkers that are diagnostic of type 1 diabetes, type 2 diabetes and/or diabetic disorder are identified. Detection of different biomarkers of the invention are also diagnostic of the degree of severity of type 1 diabetes, type 2 diabetes and/or diabetic disorder. An analysis includes the parameters of matching for BMI and Tanner stage. Receiver-operator characteristic (ROC) curves were established to assess association of the biomarkers with a disease.

Abstract: Biomarkers that are diagnostic of type 1 diabetes, type 2 diabetes and/or diabetic disorder are identified. Detection of different biomarkers of the invention are also diagnostic of the degree of severity of type 1 diabetes, type 2 diabetes and/or diabetic disorder. An analysis includes the parameters of matching for BMI and Tanner stage. Receiver-operator characteristic (ROC) curves were established to assess association of the biomarkers with a disease.

Abstract: Biomarkers that are diagnostic of type 1 diabetes, type 2 diabetes and/or diabetic disorder are identified. Detection of different biomarkers of the invention are also diagnostic of the degree of severity of type 1 diabetes, type 2 diabetes and/or diabetic disorder. An analysis includes the parameters of matching for BMI and Tanner stage. Receiver-operator characteristic (ROC) curves were established to assess association of the biomarkers with a disease.

Abstract: Biomarkers that are diagnostic of type 1 diabetes, type 2 diabetes and/or diabetic disorder are identified. Detection of different biomarkers of the invention are also diagnostic of the degree of severity of type 1 diabetes, type 2 diabetes and/or diabetic disorder. An analysis includes the parameters of matching for BMI and Tanner stage. Receiver-operator characteristic (ROC) curves were established to assess association of the biomarkers with a disease.