Phospholipid and glutamic acid decarboxylase autoantibodies in diabetic neuropathy. 1995

A I Vinik, and S B Leichter, and G L Pittenger, and K B Stansberry, and M T Holland, and A C Powers, and S Suwanwalaikorn
Diabetes Institutes, Eastern Virginia Medical School, Norfolk, Virginia, USA.

OBJECTIVE To determine the prevalence and significance of phospholipid autoantibodies (PLAs) and glutamic acid decarboxylase (GAD) autoantibodies in the circulation of normal patients and diabetic patients with and without neuropathy. METHODS We measured PLAs in a total of 78 patients (a diabetic group with somatic or autonomic neuropathy [n = 40] another group without neuropathy [n = 38]), and GAD autoantibodies in a subset of 22 patients. RESULTS PLAs are found in 2% of the general population. We found PLAs in 32% of the diabetic population without neuropathy, in 88% of those with neuropathy, in 55% of those with retinopathy, and in 25% of those with established nephropathy. The frequencies of immunoglobulins in the neuropathic group were: IgG = 78%, IgM = 33%, and IgA = 23%. There was no correlation between PLAs and microalbuminuria, macrovascular disease, fibrinogen, duration of diabetes, or neuropathy, but there was a strong correlation with total neuropathy score. Sera with high PLA IgG titers bound to the surface of neuroblastoma cells and inhibited cell growth. Antibodies to GAD65 were present in 32% and to GAD67 in 0% of patients. No titers of GAD65, GAD67, or the GAD65 ratio were associated with the degree of neuropathy of the presence of PLAs. CONCLUSIONS PLAs occur frequently in the sera of patients with diabetes and correlate with the extent of neuropathy, suggesting a role for PLAs in the etiology thereof. The measurement of PLAs may constitute a marker for ongoing damage to nerves.

UI MeSH Term Description Entries
D007070 Immunoglobulin A Represents 15-20% of the human serum immunoglobulins, mostly as the 4-chain polymer in humans or dimer in other mammals. Secretory IgA (IMMUNOGLOBULIN A, SECRETORY) is the main immunoglobulin in secretions. IgA,IgA Antibody,IgA1,IgA2,Antibody, IgA
D007074 Immunoglobulin G The major immunoglobulin isotype class in normal human serum. There are several isotype subclasses of IgG, for example, IgG1, IgG2A, and IgG2B. Gamma Globulin, 7S,IgG,IgG Antibody,Allerglobuline,IgG(T),IgG1,IgG2,IgG2A,IgG2B,IgG3,IgG4,Immunoglobulin GT,Polyglobin,7S Gamma Globulin,Antibody, IgG,GT, Immunoglobulin
D007075 Immunoglobulin M A class of immunoglobulin bearing mu chains (IMMUNOGLOBULIN MU-CHAINS). IgM can fix COMPLEMENT. The name comes from its high molecular weight and originally was called a macroglobulin. Gamma Globulin, 19S,IgM,IgM Antibody,IgM1,IgM2,19S Gamma Globulin,Antibody, IgM
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009460 Neurologic Examination Assessment of sensory and motor responses and reflexes that is used to determine impairment of the nervous system. Examination, Neurologic,Neurological Examination,Examination, Neurological,Examinations, Neurologic,Examinations, Neurological,Neurologic Examinations,Neurological Examinations
D010743 Phospholipids Lipids containing one or more phosphate groups, particularly those derived from either glycerol (phosphoglycerides see GLYCEROPHOSPHOLIPIDS) or sphingosine (SPHINGOLIPIDS). They are polar lipids that are of great importance for the structure and function of cell membranes and are the most abundant of membrane lipids, although not stored in large amounts in the system. Phosphatides,Phospholipid
D012016 Reference Values The range or frequency distribution of a measurement in a population (of organisms, organs or things) that has not been selected for the presence of disease or abnormality. Normal Range,Normal Values,Reference Ranges,Normal Ranges,Normal Value,Range, Normal,Range, Reference,Ranges, Normal,Ranges, Reference,Reference Range,Reference Value,Value, Normal,Value, Reference,Values, Normal,Values, Reference
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003922 Diabetes Mellitus, Type 1 A subtype of DIABETES MELLITUS that is characterized by INSULIN deficiency. It is manifested by the sudden onset of severe HYPERGLYCEMIA, rapid progression to DIABETIC KETOACIDOSIS, and DEATH unless treated with insulin. The disease may occur at any age, but is most common in childhood or adolescence. Diabetes Mellitus, Brittle,Diabetes Mellitus, Insulin-Dependent,Diabetes Mellitus, Juvenile-Onset,Diabetes Mellitus, Ketosis-Prone,Diabetes Mellitus, Sudden-Onset,Diabetes, Autoimmune,IDDM,Autoimmune Diabetes,Diabetes Mellitus, Insulin-Dependent, 1,Diabetes Mellitus, Type I,Insulin-Dependent Diabetes Mellitus 1,Juvenile-Onset Diabetes,Type 1 Diabetes,Type 1 Diabetes Mellitus,Brittle Diabetes Mellitus,Diabetes Mellitus, Insulin Dependent,Diabetes Mellitus, Juvenile Onset,Diabetes Mellitus, Ketosis Prone,Diabetes Mellitus, Sudden Onset,Diabetes, Juvenile-Onset,Diabetes, Type 1,Insulin Dependent Diabetes Mellitus 1,Insulin-Dependent Diabetes Mellitus,Juvenile Onset Diabetes,Juvenile-Onset Diabetes Mellitus,Ketosis-Prone Diabetes Mellitus,Sudden-Onset Diabetes Mellitus

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