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      Molecular form and concentration of serum α 2-macroglobulin in diabetes

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          Abstract

          α 2-Macroglobulin is a highly abundant serum protein involved in the development of atherosclerosis and cardiac hypertrophy. However, its circulating molecular form and exact concentrations in human health/diseases are not known. Blue native-polyacrylamide gel electrophoresis of human serum was used to confirm the native conformation of α 2-macroglobulin. We created an enzyme-linked immunosorbent assay suitable for quantifying its circulating molecular form and undertook a cross-sectional study to measure its serum levels in 248 patients with diabetes mellitus and 59 healthy volunteers. The predominant circulating molecular form of α 2-macroglobulin was the tetramer, whereas its dimer was detectable in patients with high serum levels of α 2-macroglobulin. The serum α 2-macroglobulin concentration was not associated with glycated hemoglobin or any other glycemic variable as evaluated from 48-h continuous glucose monitoring, but showed close correlation with left ventricular posterior wall thickness, carotid artery intima-media thickness, urinary albumin:creatinine ratio (ACR) and brachial–ankle pulse wave velocity (baPWV). Multivariate analysis revealed only the ACR and baPWV to be independent variables influencing serum levels of α 2-macroglobulin. Thus, an increased ACR and baPWV are associated with higher serum concentrations of α 2-macroglobulin, and the latter may contribute to the mechanism by which albuminuria increases the risk of developing cardiovascular diseases.

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          Urinary albumin excretion predicts cardiovascular and noncardiovascular mortality in general population.

          For the general population, the clinical relevance of an increased urinary albumin excretion rate is still debated. Therefore, we examined the relationship between urinary albumin excretion and all-cause mortality and mortality caused by cardiovascular (CV) disease and non-CV disease in the general population. In the period 1997 to 1998, all inhabitants of the city of Groningen, the Netherlands, aged between 28 and 75 years (n=85 421) were sent a postal questionnaire collecting information about risk factors for CV disease and CV morbidity and a vial to collect an early morning urine sample for measurement of urinary albumin concentration (UAC). The vital status of the cohort was subsequently obtained from the municipal register, and the cause of death was obtained from the Central Bureau of Statistics. Of these 85 421 subjects, 40 856 (47.8%) responded, and 40 548 could be included in the analysis. During a median follow-up period of 961 days (maximum 1139 days), 516 deaths with known cause were recorded. We found a positive dose-response relationship between increasing UAC and mortality. A higher UAC increased the risk of both CV and non-CV death after adjustment for other well-recognized CV risk factors, with the increase being significantly higher for CV mortality than for non-CV mortality (P=0.014). A 2-fold increase in UAC was associated with a relative risk of 1.29 for CV mortality (95% CI 1.18 to 1.40) and 1.12 (95% CI 1.04 to 1.21) for non-CV mortality. Urinary albumin excretion is a predictor of all-cause mortality in the general population. The excess risk was more attributable to death from CV causes, independent of the effects of other CV risk factors, and the relationship was already apparent at levels of albuminuria currently considered to be normal.
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            Microalbuminuria predicts clinical proteinuria and early mortality in maturity-onset diabetes.

            We studied whether microalbuminuria (30 to 140 micrograms of albumin per milliliter) would predict the later development of increased proteinuria and early mortality in Type II diabetics. During 1973, morning urine specimens of diabetic clinic patients 50 to 75 years of age whose disease had been diagnosed the age of 45 were examined for albumin level by radioimmunoassay. Seventy-six patients with albumin concentrations of 30 to 140 micrograms per milliliter were identified for long-term follow-up. They were compared with normal controls, diabetic patients with lower albumin concentrations (75 patients with concentrations less than 15 micrograms per milliliter and 53 with concentrations of 16 to 29 micrograms per milliliter), and 28 diabetic patients with higher concentrations (greater than 140). Age, duration of diabetes, treatment method, fasting blood glucose level, blood pressure, height, and weight were determined for the four diabetic groups. After nine years the group with albumin concentrations of 30 to 140 micrograms per milliliter was more likely to have clinically detectable proteinuria (greater than 400 micrograms per milliliter) than were the groups with lower concentrations. Mortality was 148 per cent higher in this group than in normal controls--comparable to the increase (116 per cent) in the group with heavy proteinuria (albumin levels greater than 140 micrograms per milliliter). In addition, mortality was increased 76 per cent in the group with albumin levels of 16 to 29 micrograms per milliliter and 37 per cent in the group with levels below 15. We conclude that microalbuminuria in patients with Type II diabetes is predictive of clinical proteinuria and increased mortality.
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              Albuminuria reflects widespread vascular damage. The Steno hypothesis.

              Albuminuria in Type 1 (insulin-dependent) diabetes is not only an indication of renal disease, but a new, independent risk-marker of proliferative retinopathy and macroangiopathy. The coincidence of generalised vascular dysfunction and albuminuria, advanced mesangial expansion, proliferative retinopathy, and severe macroangiopathy suggests a common cause of albuminuria and the severe renal and extrarenal complications associated with it. Enzymes involved in the metabolism of anionic components of the extracellular matrix (e.g. heparan sulphate proteoglycan) vulnerable to hyperglycaemia, seem to constitute the primary cause of albuminuria and the associated complications. Genetic polymorphism of such enzymes is possibly the main reason for variation in susceptibility.
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                Author and article information

                Contributors
                shichiri@kitasato-u.ac.jp
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                10 September 2019
                10 September 2019
                2019
                : 9
                : 12927
                Affiliations
                [1 ]ISNI 0000 0000 9206 2938, GRID grid.410786.c, Department of Endocrinology, , Diabetes and Metabolism, Kitasato University School of Medicine, ; 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0374 Japan
                [2 ]ISNI 0000 0000 9206 2938, GRID grid.410786.c, Laboratory of Biomolecular Physics, Department of Physics, & Center for Disease Proteomics, , Kitasato University School of Science, ; 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0373 Japan
                [3 ]GRID grid.415399.3, Department of Endocrinology, Diabetes and Metabolism, , Kitasato University Medical Center, ; 6-100 Arai, Kitamoto, Saitama 364-8501 Japan
                Author information
                http://orcid.org/0000-0002-5704-1378
                Article
                49144
                10.1038/s41598-019-49144-7
                6736885
                31506491
                6b677627-6b45-4f15-bfa3-ea63374ba12c
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 October 2018
                : 8 August 2019
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                © The Author(s) 2019

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                blood proteins,predictive markers,cardiovascular diseases,diabetes complications,risk factors

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