Introduction

Biomedical Reports

2049-9434 2049-9442

D.A. Spandidos

BR-0-0-1288

10.3892/br.2020.1288

Articles

Nitric oxide metabolism is impaired by type 1 diabetes and diabetic nephropathy

Sokolovska

Jelizaveta

1 Dekante

Alise

1 2 Baumane

Larisa

3 Pahirko

Leonora

4 Valeinis

Janis

4 Dislere

Kristine

5 Rovite

Vita

6 Pirags

Valdis

1 2 6 Sjakste

Nikolajs

1Laboratory for Personalized Medicine, Faculty of Medicine, University of Latvia, LV-1004 Riga, Latvia 2Internal Medicine Clinic, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia 3Biochemistry Team, Latvian Institute of Organic Synthesis, LV-1006 Riga, Latvia 4Laboratory for Statistics Research and Data Analysis, Faculty of Physics, Mathematics and Optometry, University of Latvia, LV-1004 Riga, Latvia 5Laboratory of Genomics and Bioinformatics, Institute of Biology, University of Latvia, LV-1004 Riga, Latvia 6Database of Latvian Population, Latvian Biomedical Research and Study Centre, LV-1067 Riga, Latvia 7Department of Medical Biochemistry, Faculty of Medicine, University of Latvia, LV-1004 Riga, Latvia

Correspondence to: Dr Jeļizaveta Sokolovska, Laboratory for Personalized Medicine, Faculty of Medicine, University of Latvia, 3 Jelgavas Street, LV-1004 Riga, Latvia jelizaveta.sokolovska@lu.lv

Abbreviations: NO, nitric oxide; NO₂, nitrite; NO₃, nitrate; NO₂/NO₃, added concentration of nitrite and nitrate; eGFR, estimated glomerular filtration rate; ONOO^-, peroxynitrite; EPR, electron paramagnetic resonance spectroscopy; T1D, type 1 diabetes; LPC, laser photocoagulation

05 2020

04 03 2020

12 5 251 258 21 10 2019 16 12 2019

2020

Diabetes leads to reduced nitric oxide bioavailability, resulting in endothelial dysfunction. However, overproduction of nitric oxide due to hyperglycaemia is associated with oxidative stress and tissue damage. The objective of this study was to characterise nitric oxide production (NO) and added nitrite and nitrate (NO₂^-+NO₃^-) concentration in the blood and urine of patients with and without diabetic nephropathy. A total of 268 patients with type 1 diabetes and 69 healthy subjects were included. Diabetic nephropathy was defined as macroalbuminuria and/or estimated glomerular filtration rate below 60 ml/min/1.73 cm². NO₂^-+NO₃^- concentration was measured by Griess reaction. Production of NO was detected by electron paramagnetic resonance spectroscopy. Blood NO was demonstrated to be higher (P<0.001) and serum NO₂^-+NO₃^- was lower (P=0.003) in patients with type 1 diabetes and no nephropathy vs. healthy subjects. However, serum NO₂^-+NO₃^- concentration in patients with diabetes and nephropathy did not differ from the levels observed in healthy controls. Urine excretion of NO₂^-+NO₃^- was significantly decreased in patients with nephropathy, compared with patients without diabetic kidney disease (P=0.006) and healthy subjects (P=0.010). A significant positive correlation was observed between urine NO₂^-+NO₃^- and estimated glomerular filtration rate in patients with type 1 diabetes (P=0.002) and healthy subjects (P=0.008). Estimated glomerular filtration rate, albuminuria and diabetic nephropathy status were significant predictors of the whole blood NO and NO₂^-+NO₃^- in serum and urine in patients with type 1 diabetes, as identified by linear regression models. The present study concludes that NO metabolism is impaired by type 1 diabetes and diabetic nephropathy.

NO nitrite nitrate diabetic nephropathy electron paramagnetic resonance spectroscopy

Introduction

The number of patients with diabetes mellitus constantly increases. Vascular complications, including diabetic nephropathy are major reasons for increased morbidity and mortality among patients with diabetes (1). Chronic hyperglycaemia leads to the formation of advanced glycosylation end products, activation of protein kinase C, polyol pathway and glucose autoxidation. These processes are sources of increased oxidative stress, which leads to damage in vasculature and tissues (2). Active research is on-going in the area of other potential mechanisms of diabetic nephropathy, including nitric oxide (NO) metabolism (3).

NO is a pleiotropic molecule important to a number of physiological and pathological processes in humans. In physiological conditions, effects of NO are tissue-dependent and include vasorelaxant, antithrombotic and antibacterial. However, high amounts of NO are associated with pro-inflammatory processes (4). The adverse effects of NO result mainly from peroxynitrite (ONOO^-), a product of the interaction of NO with the superoxide anion and a potent toxin. Overproduction of NO and ONOO^- is associated with DNA damage, enzyme dysfunction, inflammation, oxidative stress, decreased NO bioavailability and endothelial dysfunction (2,5-11).

Experimental data confirm increased NO and ONOO^- production in tissues of animals with diabetes mellitus (5,7,8,12). Existing studies on changes in NO metabolism coupled to diabetes and diabetic nephropathy in humans often demonstrate the opposite findings. Reduced serum nitrite (NO₂^-) and nitrate (NO₃^-) synthesis was described in patients with diabetic nephropathy and type 2 diabetes (13), and in patients with type 1 diabetes (T1D) and glomerular hyperfiltration (14). In contrast, increased serum NO₂^-+NO₃^- has been reported in patients with T1D and albuminuria (15) and in children with T1D (16). Only a few studies have described changes of concentration of NO metabolites in both the serum and urine of T1D patients, despite the importance of both measurements (14,16). Whereas serum NO₂^-+NO₃^- reflects mainly endothelial NO production although it might be influenced by dietary NO₂^- and NO₃^- (17), data on urine NO₂^-+NO₃^- may reflect the intensity of NO synthesis in the kidney circulation (14) and thus provide information for research on diabetic nephropathy (3).

NO is an unstable molecule, which is metabolized to NO₂^-+NO₃^- within seconds. Therefore, the majority of human studies report data on concentrations of NO₂^-+NO₃^- in serum and/or urine (13,18). Data on NO production [which can only be measured by electron paramagnetic resonance (EPR) spectroscopy or amperometric electrodes (19-21)] ex vivo in humans with diabetes is lacking, due to technical difficulties of the above methods.

To summarize, the understanding of derangements of NO metabolism in the pathogenesis of diabetic nephropathy in T1D is limited (5,15,16,18).

To reduce the gap in this knowledge, the present study describes data on simultaneous measurement of concentrations of NO in whole blood by EPR spectroscopy and its metabolites NO₂^-+NO₃^- in serum and urine of T1D patients with and without diabetic nephropathy.

Materials and methods <sec> <title>Patients and ethics

The present study was a part of LatDiane: Latvian prospective diabetic nephropathy study. LatDiane recruits' patients with T1D (defined as the age of diagnosis <40 years, with insulin treatment initiated within 1 year of diagnosis and C-peptide level <0.3 nmol/l). The study is in line with the 1975 Declaration of Helsinki and received the Latvian Central Ethics Committee's approval no. 01-29.1/3. All participants gave their written informed consent to participate. Patients recruited between September and May each year between 2013 and 2016 with a diabetes duration >1 year were included (N=268) in this study. Patient characteristics are shown in Table I. The control group was formed of volunteers (n=69) without previously diagnosed diabetes or impaired glucose tolerance, who were invited to participate in this study in 2013-2014. Exclusion criteria for both groups of patients were pregnancy, acute or chronic urinary infection, signs of acute inflammation (C-reactive protein >5 mg/l, fever, increased erythrocyte sedimentation rate), history of chronic kidney disease apart from diabetic nephropathy, oncologic or rheumatologic diseases, end-stage renal disease (ESRD), current usage of antibiotics or history of immunosuppressive treatment.

Definitions

Albuminuria was assessed using two out of three urine albumin-to-creatinine ratio measurements in morning spot urine according to the guidelines of the National Kidney foundation (22).

Estimated glomerular filtration rate (eGFR) was calculated with the Chronic Kidney Disease Epidemiology Collaboration equation (23). Chronic kidney disease was defined as eGFR<60 ml/min/1.73 m². ESRD was defined as eGFR <15 ml/min/1.73 m², dialysis or kidney transplantation. Diabetic nephropathy was defined as macroalbuminuria and eGFR <60 ml/min/1.73 m². Arterial hypertension was defined as regular usage of antihypertensive drugs, or systolic blood pressure ≥140 mmHg (18.7 kPa) and diastolic blood pressure ≥90 mmHg (12.0 kPa). Diabetic retinopathy was defined as proliferative diabetic retinopathy or status after panretinal-laser photocoagulation, based on conclusion of the fundus oculi examination performed by an ophthalmologist. Cardiovascular disease was defined as history of acute myocardial infarction, coronary bypass/percutaneous transluminal coronary angioplasty, stroke, amputation, or peripheral vascular disease. Diabetic polyneuropathy was defined based on electromyography data (reporting peripheral sensory, senso-motor or motor neuropathy). Smoking was self-reported, patients currently smoking at least one cigarette per day were referred to the ‘smokers’ group. Body mass index (BMI) was calculated as weight (kg)/[height (m²)].

Biochemical parameters

Total cholesterol, low-density lipoproteins and triglyceride (enzymatic colour reaction), HbA_1c (high-pressure liquid chromatography), C-reactive protein (immuno-turbidimethric method) and albumin to creatinine ratio in urine (immunoturbidimetric test and enzymatic kinetic reaction) were measured in certified clinical laboratories.

Measurement of NOin whole blood

NO production was measured essentially as described (24). A total of 20 mg diethylthiocarbamate (Sigma-Aldrich; Merck KGaA) was added to 1 ml fresh blood, stirred and incubated for 30 min at room temperature. Then the mixture was aspirated into an insulin syringe and frozen in liquid nitrogen, the frozen cylinder was extruded from the syringe and placed in a quartz finger Dewar flask ER 167 FDS-Q (Bruker Corporation) filled with liquid nitrogen. NO concentration was detected measuring the NO component in the spectrum of Fe-DETC-NO (g=2.031) and compared with the calibration curve. To build up the calibration curve different quantities of NaNO₂ (final concentrations 0, 10, 20, 30, 40, 60 and 100 µM) were mixed with DETC (33 mg/ml) and FeSO₄^. 7H₂O (3.3 mM), an excess of Na₂S₂O₄ (2 M) was added to the mixture. The EPR spectra were taken as described above. Thus, the calibration curve contained both negative and positive controls.

EPR spectra were recorded in liquid nitrogen using the EPR spectrometer Radiopan SE/X2544. Conditions of EPR measurements were: 2.5 mW microwave power, 9.24 GHz microwave frequency, 100 kHz modulation frequency, 0.5 mT modulation amplitude, and 5x10⁵ receiver gain. Limits of detection for NO were 5-50 ng/g tissue. The observed deviation between measurements was 5-10%.

Measurement of NO2-+NO3- in patients' serum samples

Serum samples were deproteinised, using Amicon Ultra filters for centrifugation (cat. no. UFC800324; EMD Millipore). NO₂^-+NO₃^- was measured with the Cayman's Nitrate/Nitrite Colorimetric assay kit (cat. Nr 780001; Cayman Chemical Company) and Perkin Elmer Lambda 25 UV/VIS spectrophotometer (PerkinElmer, Inc.) (21). NO₂^-+NO₃^- concentration was quantitated using the nitrate standard curve (final concentrations 0, 5, 10, 15, 20, 25, 30 and 35 µM), which was performed according to the protocol in the kit. The detection limit of sample was 2.5 µM. Inter-assay and intra-assay coefficients of variation are 3.4 and 2.7%, respectively.

Statistical analysis

All measurements for NO and NO₂^-+NO₃^- were performed in triplicate, and the mean values were used for analysis. NO levels in whole blood was measured in 269 samples, NO₂^-+NO₃^- levels in serum was measured in 310 samples, and NO₂^-+NO₃^- levels in urine was measured in 308 samples. At the initial analysis stage, chi-square test for proportions for categorical variables and the Wilcoxon signed-rank test for quantitative variables (Table I) were used. As none of the variables analysed followed normality (tested using the Shapiro test), nonparametric statistical procedures were used. Data are presented as medians with the respective interquartile range. The equality of medians was tested using the and the Kruskal-Wallis test followed by Wilcoxon sum rank test for pairwise comparisons. For multiple comparisons P-value correction method by Holm was used. Healthy subjects differed from both groups of patients with T1D in age and HbA1c. Therefore, ANCOVA procedure on ranks was used to adjust for age and other potential confounders (gender, BMI, HbA1c% and smoking), although it did not lead to any significant P-value changes.

Other differences between the groups (duration of diabetes, blood pressure, lipids, eGFR, albuminuria and prevalence of complications of diabetes) were attributable to diagnosis of T1D or diabetic nephropathy, therefore adjustment for these parameters was not performed.

A Spearman correlation coefficient was used to study association between markers of NO metabolism. Regression analysis was performed only for data of patients with T1D. A total of three linear regression models with either whole blood NO, or serum and urine NO₂^-+NO₃^- as dependent variables were used. Initially, full models adjusted for age, sex, diabetes duration, systolic and diastolic blood pressure, body mass index, smoking, HbA1c, lipids, urine albumin/creatinine ratio, eGFR, diabetic nephropathy status were used. To identify predictors with major impact on nitric oxide metabolism markers, a stepwise regression model based on AIC selection was applied. All statistical tests were using R version 3.6.1(25).

Results <sec> <title>Characteristics of study groups

Study subjects included 268 patients with T1D and 69 healthy subjects. Patients with T1D were stratified according to the presence of diabetic nephropathy. Anthropometric and clinical characteristics of three groups (healthy subjects, patients with T1D without diabetic nephropathy, patients with T1D with diabetic nephropathy) are summarised in Table I. Subjects in the control group did not have any chronic diseases, except hypertension in one case.

Concentration of NO in the whole blood of patients with T1D and healthy subjects

The concentration of whole blood NO was significantly increased in patients with T1D, compared with controls (P<0.05). Within T1D patients, the presence of diabetic nephropathy did not lead to a further increase in NO (Fig. 1A and Table II).

Concentration of NO2-+NO3- in the serum of patients with T1D and healthy subjects

The concentration of NO₂^-+NO₃^- in the serum was significantly decreased (P=0.003) in patients with T1D and no nephropathy compared with healthy subjects. However, in patients with T1D and nephropathy, serum concentration of NO₂^-+NO₃^- did not differ from the control group (Fig. 1B and Table II).

Concentration of NO2-+NO3- in the urine of patients with T1D and healthy subjects

NO₂^-+NO₃^- in urine did not differ between patients with uncomplicated T1D and controls. Within the T1D group, the concentration of NO₂^-+NO₃^- in urine was significantly decreased in patients with diabetic nephropathy, when compared with patients without diabetic nephropathy (P=0.006) and healthy subjects (P=0.010; Fig. 1C and Table II).

Correlation between parameters of nitric oxide metabolism in patients with T1D and healthy subjects

A strong positive significant correlation was observed between eGFR and urine NO₂^-+NO₃^- in healthy subjects (R=0.688; P=0.008). This correlation was also significant, although weak in patients with type 1 diabetes (R=0.190; P=0.002).

A medium positive significant correlation was observed between NO₂^-+NO₃^- in serum and NO₂^-+NO₃^- in urine in healthy subjects (R=0.492; P=0.002) and T1D patients without diabetic nephropathy (R=0.559; P<0.001), but not in T1D patients with diabetic nephropathy (R=0.351; P=0.120).

In patients with diabetes, a weak negative correlation was observed between diabetes duration and urine NO₂^-+NO₃^- (R=-0.131; P=0.032) and a weak positive correlation between albuminuria and serum NO₂^-+NO₃^- (R=0.150; P=0.015).

No correlation was observed between blood NO and NO₂^-+NO₃^- in urine and serum (Table III).

Predictors of markers of NO metabolism identified by linear regression models in patients with T1D

To identify predictors of NO in whole blood, NO₂^-+NO₃^- in serum and urine in patients with T1D, three regression models adjusted for age, sex, diabetes duration, blood pressure, BMI, smoking, HbA1c, serum lipids, urine albumin/creatinine ratio, eGFR and nephropathy status were used. After application of a stepwise selection model based on AIC for a model with NO as a dependent variable, significant predictors remaining in the model were diabetes duration, sex, albuminuria and diabetic nephropathy. For NO₂^-+NO₃^- in serum, significant predictors were only HbA1c and eGFR. For NO₂^-+NO₃^- in urine, significant predictors were sex, BMI, albuminuria and eGFR (Table IV).

Discussion

The present study aimed to assess the impact of T1D and diabetic nephropathy on the concentrations of NO in whole blood, and its metabolites NO₂^-+NO₃^- in serum and urine in patients with T1D.

In the present study, it was demonstrated that T1D resulted in increased NO production in whole blood and decreased NO₂^-+NO₃^- concentration in the serum. However, when T1D is complicated by diabetic kidney disease, urine excretion of NO₂^-+NO₃^- is decreased, which results in serum NO₂^-+NO₃^- not differing from the levels of healthy controls.

To the best of our knowledge, the present study is the first to measure NO concentration in whole blood measured by EPR in T1D patients. As in human tissues one can measure NO in ex vivo specimens only; in the present study, blood specimens were collected and incubated with a spin trap for 30 min. Therefore, the measured NO should have been produced by blood cells during the incubation or released from transporting molecules. Indeed, the ability to produce NO was reported for several types of blood cells. Previously, increased NO production in aged erythrocytes of patients with type 2 diabetes was reported (26). Increased NO production in whole blood of T1D patients in the present study could result from several processes. Besides being a NO depot due to the formation of NO and haemoglobin complexes, erythrocytes can produce NO, as they contain endothelial NO synthase (27). White blood cells and platelets produce NO via NO synthases (28-31) or independently of NO synthases (32). Finally, a nitric oxide synthase (NOS)-independent NO production from NO₂^-+NO₃^- is possible, especially in conditions characterised by endothelial dysfunction, low systemic pH and hypoxia, such as diabetes (10). Despite the fact that the present study could not demonstrate higher whole blood NO in patients with diabetic nephropathy, regression analysis indicated positive association between whole blood NO and diabetic nephropathy status. Therefore, the present results could be the first indication of increased NO production in blood cells of T1D patients.

In contrast to data on NO in the whole blood, lower serum NO₂^-+NO₃^- concentration were observed in patients with T1D and no diabetic nephropathy, compared with control subjects. Considering the above-mentioned increase of NO production by blood cells, this result underlines the differences of NO metabolism in different tissues. Indeed, in blood serum total NO₂^-+NO₃^- was measured, which consists of metabolites of NO produced by endothelium, blood cells and other tissues. To evaluate the contribution of the measured whole blood NO concentration in the present study (~25 ng/g) to blood serum NO₂^-+NO₃^-, this was recalculated in micromoles: It gives <1 µM in 30 min, which should be insignificant, as the measured serum NO₂^-+NO₃^- concentrations in the present study were on average >25 µM. To support the lack of direct association between blood NO and serum NO₂^-+NO₃^-, no correlation was found between these markers. Therefore, it can be can concluded that T1D leads to a decrease in serum NO₂^-+NO₃^- concentration and these changes are not dependent on NO production by blood cells. This decrease might be explained by decreased NO bioavailability due to diabetes-induced oxidative stress, when NO is scavenged by reactive oxygen species and ONOO^- is formed (4,33). Data similar to the current findings have been reported in T1D (14) and type 2 diabetes (34). However, there are studies which report no differences in serum NO₂^-+NO₃^- concentrations in T2D patients compared with control subjects (35) and increased serum NO₂^-+NO₃^- in early T1D (16,36).

Although one would expect that in patients with T1D and diabetic nephropathy the concentration of serum NO₂^-+NO₃^- should decrease even further, in the present study, it did not differ from the levels observed in the control group. The reason for this observation might be the decreased eGFR in diabetic nephropathy group and thus some accumulation of serum NO₂^-+NO₃^-. Indeed, although serum and urine NO₂^-+NO₃^- demonstrated medium positive correlation in healthy subjects and patients with diabetes and no nephropathy, this correlation was not observed in patients with nephropathy. Moreover, regression analysis indicated that in patients with T1D, an increase in serum NO₂^-+NO₃^- is expected when eGFR decreases. Therefore, it is hypothesized that this accumulation of NO₂^-+NO₃^- in circulation might become a source of the NOS-independent NO synthesis (9,10) and consequent nitrosative stress that has been observed in diabetes (37). Thus, the authors hypothesized that the idea of inorganic nitrate/nitrite supplementation as a tool for prevention and treatment of complications of diabetes and atherosclerosis is controversial (4,10,17,18,38,39). Indeed, other researchers have also reported increased serum NO₂^-+NO₃^- in diabetic complications (15,34,35,40).

To supplement the present data on NO₂^-+NO₃^- in serum, decreased urine NO₂^-+NO₃^- concentrations were reported in patients with diabetic nephropathy. Moreover, albuminuria was a significant negative predictor of urine NO₂^-+NO₃^- in regression analysis. Decreased urine NO₂^-+NO₃^- excretion in diabetic nephropathy might be the consequence of deregulated NO synthesis in the microvasculature of kidney in diabetes due to altered expression of NOS isoforms (6,8). It can also result from a decrease in kidney function characteristic for diabetic nephropathy and leading to accumulation of NO metabolites in the blood, as discussed above. Indeed, a positive correlation was observed between urine NO₂^-+NO₃^- and eGFR in patients with T1D and healthy subjects, in agreement with the data of other studies (14,15,41).

The present study has some limitations. Major concerns are: The cross-sectional design of the study and the low number of patients with diabetic nephropathy. Subjects in the control group differ from T1D patients in age; all other differences between the groups are associated with diabetes and diabetic nephropathy.

The advantages of this study include previously unpublished data on NO in whole blood measured by EPR spectroscopy, a relatively large population of patients with T1D included and analysis of different markers of NO metabolism in patients with T1D and diabetic nephropathy.

To conclude, whole blood NO, serum and urine NO₂^-+NO₃^- are affected differently by T1D and diabetic nephropathy. Uncomplicated T1D is characterised by increased whole blood NO and decreased serum NO₂^-+NO₃^-. In diabetic kidney disease, urine excretion of NO₂^-+NO₃^- is decreased, which results in serum NO₂^-+NO₃^- not differing from the levels of healthy controls. Thus, kidney function is associated with NO metabolism in T1D. Studies with larger number of T1D patients with diabetic nephropathy are needed for an improved understanding of derangements of NO metabolism in diabetic kidney disease.

Acknowledgements

The authors of the present study would like to thank Mrs. Sanita Kalva-Vaivode and Mrs. Mārīte Cirse for patient recruitment, Dr Rihards Mallons, Dr Zane Dzērve and Dr Sabīne Skrebinska for their assistance with data management and Dr Carol Forsblom from the FinnDiane group for her valuable comments concerning presentation of data. LatDiane acknowledges all physicians involved in the recruitment of patients.

Funding

The present study was supported by the State Genome database project, Latvian Association of Endocrinology, a project of the University of Latvia: ‘Research of biomarkers and natural substances for acute and chronic diseases’ diagnostics and personalised treatment’.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

JS designed the clinical set up of the study and wrote the manuscript. LB performed all measurements of nitric oxide by EPR method. KD performed all measurements of nitrite and nitrite. AD organized the logistics of the study. LP and JV did the statistical analysis. VR was responsible for biobanking. VP contributed to interpretation of the results and edited the manuscript. NS designed the study as well as wrote and edited the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study is in line with the 1975 Declaration of Helsinki and received the Latvian Central Ethics Committee approval Nr.01-29.1/3. All subjects gave their written informed consent to participate.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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A review and discussion of platelet nitric oxide and nitric oxide synthase: Do blood platelets produce nitric oxide from l-arginine or nitrite?

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10.1007/s00726-015-1986-1

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Mitra

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Dikshit

Ultrastructural immunogold localization of nitric oxide synthase isoforms in rat and human eosinophils

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10.1007/s00441-010-0947-y

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Nitric oxide synthase in innate and adaptive immunity: An update

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10.1016/j.it.2015.01.003

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Pall

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Adu

Antineutrophil cytoplasm antibody-induced neutrophil nitric oxide production is nitric oxide synthase independent

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10.1046/j.1523-1755.2001.059002593.x

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Kampoli

Tentolouris

Papageorgiou

Stefanadis

The role of nitric oxide on endothelial function

Curr Vasc Pharmacol104182012

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10.2174/157016112798829760

Miyata

Noda

Hara

Ueyama

Kitaichi

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Koike

Nitric oxide plasma level as a barometer of endothelial dysfunction in factory workers

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10.1055/s-0043-110054

Doganay

Evereklioglu

Türköz

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Mehmet

Savli

Comparison of serum NO, TNF-alpha, IL-1beta, sIL-2R, IL-6 and IL-8 levels with grades of retinopathy in patients with diabetes mellitus

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10.1038/sj.eye.6700095

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Vandyke

Oxidative stress and autonomic nerve function in early type 1 diabetes

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Boyarsky

Correction of endothelial dysfunction in children-residents of radioactively contaminated areas by nitric oxide donator

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Figure 1

Markers of NO metabolism in biological fluids of study subjects. (A) Concentration of NO in study groups. (B) Concentration of serum NO₂^-+NO₃^- in study groups. (C) Concentration of NO₂^-+NO₃^- in urine in study groups. ⁺P<0.05 vs. control group; ^#P<0.05 vs. T1D+no diabetic nephropathy. T1D, type 1 diabetes; DN, diabetic nephropathy; NO, nitric oxide; NO₂, nitrite; NO₃, nitrate.

Table I

Characteristics of subjects.

Characteristics	Healthy subjects (N=69)	Type 1 diabetes without nephropathy (N=246)	Type 1 diabetes and nephropathy (N=22)
Men/women, % (N)	38/62 (26/43)	46/54 (112/134)	46/54 (10/12)
Age, years	23 (21-26)	36 (24-47)^a	33 (27.5-47)^a,b
Diabetes duration, years	-	14 (6.2-22)	22 (15.2-28.8)^b
Body mass index, kg/m²	22.6 (20.6-26)	24.4 (21.8-27.8)	23.5 (21.4-24.6)
Systolic blood pressure, mmHg	120 (110-125)	124 (117-135)^a	136 (126-149)^a,b
Diastolic blood pressure, mmHg	75 (70-80)	80 (71-85)^a	89 (80-91)^a,b
Hypertension, % (N)	1(1)	41(101)^c	76(19)^c,d
On ACEI/ARB, % (N)	0 (0)	24(61)	32(8)
HbA1c%	5.3 (5.1-5.5)	8.3 (7.4-9.6)^a	10.1 (8.3-11.1)^a,b
HbA1c, mmol/mol	34.4 (32.2-36.6)	67.2 (57.4-81.4)^a	86.9 (67.2-97.8)^a,b
Triglycerides, mmol/l	0.7 (0.6-1.1)	1.0 (0.7-1.4)^a	1.2 (1.0-1.9)^a,b
Total cholesterol, mmol/l	4.2 (3.7-4.8)	4.9 (4.1-5.5)^a	4.8 (4.0-6.0)
Low-density lipoprotein cholesterol, mmol/l	2.3 (1.8-2.7)	2.7 (2.1-3.3)	2.5 (2-3.5)
On statins, % (N)	0 (0)	10(26)	12(3)
Smoking, % (N)	17(12)	26(64)	28(7)
eGFR, ml/min/1.73 m²	108.6 (96.5-121.8)	110.8 (97.4-123.1)	85.7 (56-98.6)^a,b
Albuminuria, %(N)^e:
Normoalbuminuria	100(69)	80(197)	9(2)^d
Microalbuminuria	0 (0)	17(42)	9(2)
Macroalbuminuria	0 (0)	0 (0)	81(18)^d
Urine albumin/creatinine ratio, mg/mmol	0.3 (0.2-0.7)	0.6 (0.3-1.6)^a	72.8 (46.8-152.2)^a,b
Chronic kidney disease, % (N)	0 (0)	0 (0)	28(7)^d
Fundus oculi exam, % (N):	-	17(43)	32(7)
No retinopathy		59(144)	18(4)^d
Non-proliferative retinopathy		24(59)	50(11)^d
Proliferative retinopathy and status post LPC
Diabetic polyneuropathy, % (N)	-	38(94)	72(18)^c
Vascular hard event, % (N)	0 (0)	6(15)	12(3)

Mean values are shown as median (q0.25-q0.75).

^aP<0.05 vs. ‘healthy subjects’;

^bP<0.05 vs. ‘Type 1 diabetes without nephropathy’, pairwise Wilcoxon test;

^cP<0.05 vs. ‘Healthy subjects’;

^dP<0.05 vs. ‘Type 1 diabetes without nephropathy’, Chi-square prop test;

^emissing 7 from ‘Type 1 diabetes without nephropathy’ group. Chronic kidney disease-eGFR <60 ml/min/1.73 m². Vascular hard event-history of acute myocardial infarction, coronary bypass/percutaneous transluminal coronary angioplasty, stroke, amputation, or peripheral vascular disease. LPC, pan-retinal laser photocoagulation; eGFR, estimated glomerular filtration rate (CKD-EPI); ACEI, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker.

Table II

Markers of nitric oxide metabolism in healthy subjects and patients with type 1 diabetes with and without nephropathy.

Groups	NO, ng/g whole blood	NO₂^-+NO₃^-, µM, serum	NO₂^-+NO₃^-, µM, urine
Healthy subjects, n	22.8 (20.6-25.1), 69	32.1 (26.5-53.3), 39	842.7 (370.9-1304.8), 39
Type 1 diabetes without nephropathy; n	26.0 (21.3-29.3), 185^a	26.3 (17.6-37.5), 246^c	729.0 (417.9-1215.8), 245
Type 1 diabetes and nephropathy; n	28.2 (23.7-33.5), 15^b	34.0 (22.9-64.5), 22^f	365.4 (188.8-626.7), 21^d,e

Data are presented as median and interquartile range.

^aP<0.001 vs. ‘Healthy subjects’;

^bP=0.006 vs. ‘Healthy subjects’;

^cP=0.003 vs. ‘Healthy subjects’;

^dP=0.006 vs. ‘Type 1 diabetes without nephropathy’;

^eP=0.010 vs. ‘Healthy subjects’;

^fP=0.098 vs. ‘Type 1 diabetes without nephropathy’. Kruskal Wallis test followed by pairwise Wilcoxon test. Wilcoxon test was followed by Ancova on ranks for adjustment for age, gender, BMI, HbA1c%, smoking. NO, nitric oxide; NO₂, nitrite; NO₃, nitrate.

Table III

Correlation of nephropathy-related parameters with markers of nitric oxide metabolism.

Groups	Variable 1	Variable 2	Correlation coefficient (R)	P-value
Healthy subjects	eGFR	NO₂^-+NO₃^- urine	0.688	0.008
Type 1 diabetes	eGFR	NO₂^-+NO₃^- urine	0.190	0.002
Healthy subjects	eGFR	NO₂^-+NO₃^- serum	0.090	0.762
Type 1 diabetes	eGFR	NO₂^-+NO₃^- serum	-0.051	0.406
Healthy subjects	eGFR	NO	-0.215	0.222
Type 1 diabetes	eGFR	NO	-0.099	0.165
Type 1 diabetes	Diabetes duration	NO₂^-+NO₃^- urine	-0.131	0.032
Type 1 diabetes	Diabetes duration	NO₂^-+NO₃^- serum	0.049	0.425
Type 1 diabetes	Diabetes duration	NO	-0.029	0.684
Type 1 diabetes	Albuminuria	NO₂^-+NO₃^- urine	-0.064	0.304
Type 1 diabetes	Albuminuria	NO₂^-+NO₃^- serum	0.150	0.015
Type 1 diabetes	Albuminuria	NO	0.094	0.184
Healthy subjects	NO₂^-+NO₃^- urine	NO₂-+NO₃- serum	0.492	0.002
Type 1 diabetes + no DN	NO₂^-+NO₃^- urine	NO₂^-+NO₃^- serum	0.559	<0.001
Type 1 diabetes + DN	NO₂^-+NO₃^- urine	NO2^-+NO₃^- serum	0.351	0.120
Healthy subjects	NO	NO₂^-+NO₃^- serum	-0.253	0.120
Type 1 diabetes + no DN	NO	NO₂^-+NO₃^- serum	-0.095	0.200
Type 1 diabetes + DN	NO	NO₂^-+NO₃^- serum	-0.339	0.216
Healthy subjects	NO	NO₂^-+NO₃^- urine	-0.216	0.188
Type 1 diabetes + no DN	NO	NO₂^-+NO₃^- urine	-0.042	0.570
Type 1 diabetes + DN	NO	NO₂^-+NO₃^- urine	-0.332	0.246

R-Spearman correlation coefficient. eGFR, estimated glomerular filtration rate; DN, diabetic nephropathy; albuminuria, albumin/creatinine ratio in morning spot urine; NO, nitric oxide; NO₂, nitrite; NO₃, nitrate.

Table IV

Associations between concentrations of NO in whole blood, NO₂^-+NO₃^- in serum and urine and clinical characteristics.

Dependent variables	Predictors	B (95% CI)	P-value	R-squared
NO in whole blood, ng/g	Intercept	25.951 (23.938, 27.964)	<0.001	0.134
	Diabetes duration, years	-0.101 (-0.192, -0.01)	0.032
	Sex, male/female	2.962 (0.91, 5.014)	0.005
	Albumin/creatinine in urine, mg/mmol	-0.029 (-0.048, -0.01)	0.003
	Diabetic nephropathy, yes/no	10.241 (5.271, 15.212)	<0.001
NO₂^-+NO₃^- in serum, µM	Intercept	34.561 (11.73, 57.392)	0.003	0.028
	HbA1c, %	1.844 (-0.045, 3.733)	0.057
	eGFR, ml/min/1.73 cm²	-0.158 (-0.327, 0.011)	0.069
NO₂^-+NO₃^- in urine, µM	Intercept	1285.682 (158.895, 2412.469)	0.026	0.106
	Sex, male/female	-329.72 (-552.273, -107.166)	0.004
	Body mass index, kg/m²	-27.377 (-55.448, 0.694)	0.057
	Albumin/creatinine in urine, mg/mmol	-1.707 (-3.345, -0.069)	0.042
	eGFR, ml/min/1.73 cm²	4.886 (-1.019, 10.792)	0.106

Linear regression models for NO in whole blood, NO₂/NO₃ in serum and urine as dependent variables. Data are presented as B (95% CI). Analysis was performed only for data of patients with type 1 diabetes (N=268). Only predictors selected after application of AIC stepwise model are indicated. Initial models were adjusted for age, sex, diabetes duration, systolic and diastolic blood pressure, body mass index, smoking, HbA1c, lipids, urine albumin/creatinine ratio, eGFR, diabetic nephropathy status. eGFR, ml/min, 1.72 cm² and diabetic nephropathy, macroalbuminuria and eGFR <60 ml/min/1.73 m². eGFR, estimated glomerular filtration rate; NO, nitric oxide; NO₂, nitrite; NO₃, nitrate.