Literature DB >> 19675197

Diabetic retinopathy is associated with elevated serum asymmetric and symmetric dimethylarginines.

Sotoodeh Abhary1, Nicholas Kasmeridis, Kathryn P Burdon, Abraham Kuot, Malcolm J Whiting, Wai Ping Yew, Nikolai Petrovsky, Jamie E Craig.   

Abstract

OBJECTIVE: Asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), and l-arginine directly influence nitric oxide production. Our objective was to test whether serum ADMA, SDMA, or l-arginine levels correlate with diabetic retinopathy subtype or severity. RESEARCH DESIGN AND METHODS: A total of 162 subjects with type 1 diabetes and 343 with type 2 diabetes, of whom 329 subjects had no diabetic retinopathy, 27 had nonproliferative diabetic retinopathy (NPDR), 101 had proliferative diabetic retinopathy (PDR), and 107 had clinically significant macular edema (CSME), were recruited. Blinding diabetic retinopathy was defined as severe NPDR, PDR, or CSME. Serum ADMA, SDMA, and l-arginine concentrations were determined by mass spectroscopy.
RESULTS: In multivariate analysis, blinding diabetic retinopathy, PDR, and nephropathy were associated with significantly increased serum levels of ADMA (P < 0.001), SDMA (P < 0.001), and l-arginine (P = 0.001). Elevated ADMA (P < 0.001) and SDMA (P < 0.001) were also significantly associated with CSME.
CONCLUSIONS: Severe forms of diabetic retinopathy are associated with elevated serum ADMA, SDMA, and l-arginine. Further investigation is required to determine whether these findings are of clinical relevance.

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Year:  2009        PMID: 19675197      PMCID: PMC2768206          DOI: 10.2337/dc09-0816

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Endothelial dysfunction and impaired ocular hemodynamics underlying diabetic retinopathy development are associated with decreased nitric oxide (NO) synthase activity and NO bioavailability, resulting in vasoconstriction and increased reactive oxygen species (1). Serum asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), and l-arginine are involved in the NO pathway, directly influencing NO production. This study investigated the association between diabetic retinopathy subtypes and serum levels of ADMA, SDMA, and l-arginine in an Australian cohort of 505 subjects with type 1 or type 2 diabetes.

RESEARCH DESIGN AND METHODS

Subjects were recruited from ophthalmology and endocrinology outpatient clinics of three tertiary hospitals in Adelaide, South Australia. Ethics approval was obtained from the relevant Human Research Ethics Committees. The cohort consisted of 162 subjects with type 1 and 343 with type 2 diabetes. Retinopathy status for the worst eye was graded according to the Early Treatment and Diabetic Retinopathy Study criteria (2). If either eye had clinically significant macular edema (CSME), irrespective of other diabetic retinopathy gradings, the patient was also classified as having CSME. Blinding retinopathy was defined as severe nonproliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), or CSME. Blood pressure and BMI were measured. Renal function tests (serum creatinine, urine albumin, and albumin-to-creatinine ratio), serum cholesterol, and A1C levels (mean of three recent levels) were obtained. Patients were classified as hypertensive if they were on antihypertension medication or had a blood pressure ≥140/90 mmHg at recruitment. Hypercholesterolemia was defined as total cholesterol >5.5 mmol/l or current use of lipid-lowering medication. Nephropathy was defined as urine albumin ≥30 mg/day. Serum concentrations of arginine and its dimethylated metabolites ADMA and SDMA were determined by liquid chromatography–tandem mass spectrometry of the butyl esters (3) on an Applied Biosystems 3200 Q-Trap instrument (Applied Biosystems, Scoresby, Victoria). Statistical analyses were undertaken in SPSS (version 15.0; SPSS, Chicago, IL). A P value <0.05 was considered significant. Baseline clinical characteristics of case and control subjects were compared using the t test or χ2 tests as appropriate. Serum ADMA, SDMA, and l-arginine concentrations were log transformed, and association with diabetic retinopathy was assessed by a hierarchical multiple regression procedure for multivariate analysis.

RESULTS

Of 505 participants, 330 had no diabetic retinopathy (105 of whom were type 1 and 225 type 2 diabetic) and 175 were classified as having blinding diabetic retinopathy (57 type 1 and 118 type 2 diabetic). In the blinding diabetic retinopathy group, 27 had severe NPDR (4 type 1 and 23 type 2 diabetic), 101 PDR (42 type 1 and 59 type 2 diabetic), and 108 CSME (26 type 1 and 82 type 2 diabetic). Disease duration, sex, age, hypertension, hypercholesterolemia, nephropathy, and BMI were significantly correlated with diabetic retinopathy (P < 0.05). Blinding diabetic retinopathy (Fig. 1) and PDR were strongly associated with elevated serum ADMA (P < 0.001), SDMA (P < 0.001), and l-arginine (P = 0.001) after adjustment for associated covariates. In type 1 diabetic subjects, blinding diabetic retinopathy was associated with significantly increased ADMA (P < 0.001) and SDMA (P < 0.001). In patients with type 1 diabetes and PDR, there was a strong association with ADMA (P < 0.001) and SDMA (P < 0.001) and a borderline association with l-arginine (P = 0.04). In type 2 diabetic subjects, both blinding diabetic retinopathy and PDR were significantly associated with elevated ADMA and SDMA (P = 0.013 and P < 0.001, respectively, for blinding diabetic retinopathy and P = 0.014 and P < 0.001, respectively, for PDR). CSME was significantly associated with elevated ADMA (P < 0.001) and SDMA (P < 0.001) when both types of diabetes were combined. However, in subjects with type 1 diabetes alone, only SDMA showed a significant elevation (P < 0.001), and no significant association of the analytes with CSME in type 2 diabetic subjects was found.
Figure 1

Box plots of untransformed concentrations of l-arginine, ADMA, and SDMA (μmol/l) in all subjects without diabetic retinopathy (DR) (n = 330) and blinding diabetic retinopathy (n = 175) are shown, regardless of type of diabetes. Data are shown as the 25th, 50th, and 75th percentiles (represented by gray boxes), range (shown as whiskers; outliers have been removed), and the median (white horizontal line). Means ± SD and adjusted P values for each analyte are provided under the corresponding box plot. P values have been adjusted for type of diabetes, diabetes duration, age, hypertension, hypercholesterolemia, and nephropathy.

Box plots of untransformed concentrations of l-arginine, ADMA, and SDMA (μmol/l) in all subjects without diabetic retinopathy (DR) (n = 330) and blinding diabetic retinopathy (n = 175) are shown, regardless of type of diabetes. Data are shown as the 25th, 50th, and 75th percentiles (represented by gray boxes), range (shown as whiskers; outliers have been removed), and the median (white horizontal line). Means ± SD and adjusted P values for each analyte are provided under the corresponding box plot. P values have been adjusted for type of diabetes, diabetes duration, age, hypertension, hypercholesterolemia, and nephropathy. Age, disease duration, hypertension, BMI, hypercholesterolemia, smoking, and diabetic retinopathy were found to be significantly correlated with nephropathy (P < 0.05). Nephropathy was associated with ADMA (P < 0.001), SDMA (P < 0.001), and l-arginine (P = 0.001) after adjustment for associated covariates. All three analytes were associated with nephropathy in type 1 diabetes (ADMA, P < 0.001; SDMA, P < 0.001; l-arginine, P = 0.034). However, only ADMA (P = 0.03) and SDMA (P < 0.001) were associated with nephropathy in type 2 diabetes. The mean levels of all three analytes in participants with blinding diabetic retinopathy (but with nephropathy subjects excluded [n = 110]) were compared with the mean levels in those with nephropathy (but with blinding diabetic retinopathy subjects excluded [n = 68]), and no significant differences were found (P > 0.5).

CONCLUSIONS

ADMA, SDMA, and l-arginine are involved in the production of NO, a key player in both microvascular damage pathogenesis and diabetic retinopathy (1). We found that all three are significantly elevated in patients with blinding diabetic retinopathy and PDR, irrespective of diabetes type. This study is the first to report an association between elevated levels of ADMA and SDMA with CSME. Four previous studies investigated serum ADMA levels in diabetic retinopathy (4–7). Three reported elevation of ADMA in diabetic retinopathy participants (4–6). Only Malecki et al. (5) assessed the association of both SDMA and l-arginine with diabetic retinopathy in type 2 diabetes, finding an association of SDMA with diabetic retinopathy. Tarnow et al. (7) found that ADMA levels were not significantly increased in any form of diabetic retinopathy in 600 subjects with type 1 diabetes. Our study was deliberately enriched with subjects with blinding diabetic retinopathy so differences in diabetic retinopathy phenotype affecting study power may be factors in the comparison. The effect of nephropathy on diabetic retinopathy (8,9) could potentially be mediated by elevated dimethylarginines because all three analytes are renally cleared and ADMA and SDMA are elevated by reduced renal clearance (7,10). We observed a significant association of all three analytes with nephropathy. Serum SDMAs in patients with nephropathy, especially end-stage nephropathy, are known to be markedly higher than ADMAs (10,11). Similarly, we found higher SDMA levels compared with ADMA levels in participants with nephropathy in addition to retinopathy. One possibility is that decreased renal clearance of these analytes may lead to elevated serum concentrations directly impacting diabetic retinopathy development. Other factors that could influence ADMA include hyperglycemia-induced inhibition of dimethylarginine dimethylaminohydrolase, which degrades ADMA (12); the effects of insulin resistance (13); or medications, including oral hypoglycemic agents (13,14) and ACE inhibitors (15). Further prospective and functional studies are required to investigate the clinical and pathological significance of elevated ADMA, SDMA, and l-arginine in diabetic retinopathy development and the relationship with nephropathy.
  15 in total

1.  Plasma asymmetric dimethylarginine (ADMA) is associated with retinopathy in type 2 diabetes.

Authors:  Maciej T Malecki; Anetta Undas; Katarzyna Cyganek; Barbara Mirkiewicz-Sieradzka; Pawel Wolkow; Grzegorz Osmenda; Malgorzata Walus-Miarka; Tomasz J Guzik; Jacek Sieradzki
Journal:  Diabetes Care       Date:  2007-08-17       Impact factor: 19.112

2.  Marked increase of asymmetric dimethylarginine in patients with incipient primary chronic renal disease.

Authors:  Jan T Kielstein; Rainer H Böger; Stefanie M Bode-Böger; Jürgen C Frölich; Hermann Haller; Eberhard Ritz; Danilo Fliser
Journal:  J Am Soc Nephrol       Date:  2002-01       Impact factor: 10.121

3.  Relationship between insulin resistance and an endogenous nitric oxide synthase inhibitor.

Authors:  Markus C Stühlinger; Fahim Abbasi; James W Chu; Cindy Lamendola; Tracey L McLaughlin; John P Cooke; Gerald M Reaven; Philip S Tsao
Journal:  JAMA       Date:  2002-03-20       Impact factor: 56.272

4.  Asymmetric dimethylarginine (ADMA) in the aqueous humor of diabetic patients.

Authors:  Motohiko Sugai; Akio Ohta; Yuji Ogata; Minoru Nakanishi; Satoki Ueno; Takehiro Kawata; Nobuhiko Saito; Yasushi Tanaka
Journal:  Endocr J       Date:  2007-03-20       Impact factor: 2.349

5.  Renal and retinal microangiopathy after 15 years of follow-up study in a sample of Type 1 diabetes mellitus patients.

Authors:  Pedro Romero; Mercè Salvat; Juan Fernández; Marc Baget; Inmaculada Martinez
Journal:  J Diabetes Complications       Date:  2007 Mar-Apr       Impact factor: 2.852

6.  High serum TNF-alpha level in Type 2 diabetic patients with microangiopathy is associated with eNOS down-regulation and apoptosis in endothelial cells.

Authors:  Naoki Makino; Toyoki Maeda; Masahiro Sugano; Shinji Satoh; Reiko Watanabe; Nobuyuki Abe
Journal:  J Diabetes Complications       Date:  2005 Nov-Dec       Impact factor: 2.852

7.  Metformin treatment lowers asymmetric dimethylarginine concentrations in patients with type 2 diabetes.

Authors:  T Asagami; F Abbasi; M Stuelinger; C Lamendola; T McLaughlin; J P Cooke; G M Reaven; P S Tsao
Journal:  Metabolism       Date:  2002-07       Impact factor: 8.694

8.  Impaired nitric oxide synthase pathway in diabetes mellitus: role of asymmetric dimethylarginine and dimethylarginine dimethylaminohydrolase.

Authors:  Ken Y Lin; Akira Ito; Tomoko Asagami; Philip S Tsao; Shanthi Adimoolam; Masumi Kimoto; Hideaki Tsuji; Gerald M Reaven; John P Cooke
Journal:  Circulation       Date:  2002-08-20       Impact factor: 29.690

9.  Sulfhydryl angiotensin-converting enzyme inhibition induces sustained reduction of systemic oxidative stress and improves the nitric oxide pathway in patients with essential hypertension.

Authors:  C Napoli; V Sica; F de Nigris; O Pignalosa; M Condorelli; L J Ignarro; A Liguori
Journal:  Am Heart J       Date:  2004-07       Impact factor: 4.749

10.  Elevated plasma asymmetric dimethylarginine as a marker of cardiovascular morbidity in early diabetic nephropathy in type 1 diabetes.

Authors:  Lise Tarnow; Peter Hovind; Tom Teerlink; Coen D A Stehouwer; Hans-Henrik Parving
Journal:  Diabetes Care       Date:  2004-03       Impact factor: 19.112

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  15 in total

1.  Sequence variation in DDAH1 and DDAH2 genes is strongly and additively associated with serum ADMA concentrations in individuals with type 2 diabetes.

Authors:  Sotoodeh Abhary; Kathryn P Burdon; Abraham Kuot; Shahrbanou Javadiyan; Malcolm J Whiting; Nicholas Kasmeridis; Nikolai Petrovsky; Jamie E Craig
Journal:  PLoS One       Date:  2010-03-01       Impact factor: 3.240

2.  ADMA (asymmetric dimethylarginine) and angiogenic potential in patients with type 2 diabetes and prediabetes.

Authors:  Radosław Wieczór; Anna M Wieczór; Arleta Kulwas; Danuta Rość
Journal:  Exp Biol Med (Maywood)       Date:  2020-09-22

3.  The association of dimethylarginine dimethylaminohydrolase 1 gene polymorphism with type 2 diabetes: a cohort study.

Authors:  Tse-Min Lu; Shing-Jong Lin; Ming-Wei Lin; Chiao-Po Hsu; Ming-Yi Chung
Journal:  Cardiovasc Diabetol       Date:  2011-02-09       Impact factor: 9.951

4.  Asymmetric dimethylarginine and long-term adverse cardiovascular events in patients with type 2 diabetes: relation with the glycemic control.

Authors:  Chiao-Po Hsu; Pai-Feng Hsu; Ming-Yi Chung; Shing-Jong Lin; Tse-Min Lu
Journal:  Cardiovasc Diabetol       Date:  2014-12-03       Impact factor: 9.951

Review 5.  Circulating biomarkers in glaucoma, age-related macular degeneration, and diabetic retinopathy.

Authors:  Madhu Nath; Nabanita Halder; Thirumurthy Velpandian
Journal:  Indian J Ophthalmol       Date:  2017-03       Impact factor: 1.848

6.  Supplementation with Phycocyanobilin, Citrulline, Taurine, and Supranutritional Doses of Folic Acid and Biotin-Potential for Preventing or Slowing the Progression of Diabetic Complications.

Authors:  Mark F McCarty
Journal:  Healthcare (Basel)       Date:  2017-03-14

7.  The Usefulness of Serum Biomarkers in the Early Stages of Diabetic Retinopathy: Results of the EUROCONDOR Clinical Trial.

Authors:  Cristina Hernández; Massimo Porta; Francesco Bandello; Jakob Grauslund; Simon P Harding; Stephen J Aldington; Catherine Egan; Ulrik Frydkjaer-Olsen; José García-Arumí; Jonathan Gibson; Gabriele E Lang; Rosangela Lattanzio; Pascale Massin; Edoardo Midena; Berta Ponsati; Luísa Ribeiro; Peter Scanlon; José Cunha-Vaz; Rafael Simó
Journal:  J Clin Med       Date:  2020-04-24       Impact factor: 4.241

8.  Circulating biomarkers of nitric oxide bioactivity and impaired muscle vasoreactivity to exercise in adults with uncomplicated type 1 diabetes.

Authors:  Elodie Lespagnol; Sémah Tagougui; Bernadette O Fernandez; Farid Zerimech; Régis Matran; Patrice Maboudou; Serge Berthoin; Amandine Descat; Isabelle Kim; Mehdi Pawlak-Chaouch; Julien Boissière; Eric Boulanger; Martin Feelisch; Pierre Fontaine; Elsa Heyman
Journal:  Diabetologia       Date:  2020-11-21       Impact factor: 10.122

9.  Roles of insulin, age, and asymmetric dimethylarginine on nitric oxide synthesis in vivo.

Authors:  Paolo Tessari; Diego Cecchet; Carlo Artusi; Monica Vettore; Renato Millioni; Mario Plebani; Lucia Puricelli; Monica Vedovato
Journal:  Diabetes       Date:  2013-03-08       Impact factor: 9.461

Review 10.  Circulating Biomarkers of Diabetic Retinopathy: An Overview Based on Physiopathology.

Authors:  Olga Simó-Servat; Rafael Simó; Cristina Hernández
Journal:  J Diabetes Res       Date:  2016-06-08       Impact factor: 4.011

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