Correlation of Serum 1,5-AG with Uric Acid in Type 2 Diabetes Mellitus with Different Renal Functions

Zhang, Kai; Xue, Bizhen; Yuan, Yuexing; Wang, Yao

doi:https://doi.org/10.1155/2019/4353075

International Journal of Endocrinology

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Research Article | Open Access

Volume 2019 | Article ID 4353075 | https://doi.org/10.1155/2019/4353075

Correlation of Serum 1,5-AG with Uric Acid in Type 2 Diabetes Mellitus with Different Renal Functions

Kai Zhang,¹Bizhen Xue,¹Yuexing Yuan,¹and Yao Wang¹

Academic Editor: Michael Horowitz

Received16 Jun 2018

Revised01 Oct 2018

Accepted14 Oct 2018

Published06 Mar 2019

Abstract

Aim. Recent studies found that levels of serum uric acid (SUA) were positively associated with serum 1,5-anhydroglucitol (1,5-AG) in subjects with type 2 diabetes mellitus (T2DM). In the current study, we investigated the association between 1,5-AG and UA in T2DM patients with different renal functions. Methods. A total of 405 T2DM patients, 213 men and 192 women, participated in the study. Patients’ clinical information was collected, and serum 1,5-AG, SUA, and other clinical characteristics were measured. Correlation analyses were carried out to analyze their correlation with serum 1,5-AG and SUA. Results. The male group showed higher levels of SUA than the female group (282.1 ± 91.2 and 244.7 ± 71.89 μmol/L, respectively, ). Pearson’s correlation coefficients determine that SUA was positively associated with 1,5-AG in both men (, ) and women (, ), and such relationship can be influenced by the renal function. The positive association still existed with moderate impaired renal function. Moreover, 1,5-AG had a negative association with haemoglobin A1c (HbA1c) in T2DM subjects with eGFR ≥ 30 mL/min/1.73 m² (). Conclusion. The positive association between SUA and 1,5-AG still exists in T2DM with moderate renal failure. 1,5-AG can still reflect the glucose levels in patients with CKD stages 1-3.

1. Introduction

1,5-Anhydroglucitol (1,5-AG), a 1-deoxy form of glucose analog, can reflect blood glucose levels over a period of 3-7 days as well as postprandial glucose [1, 2]. Dietary intake is the main source of 1,5-AG, and the levels of 1,5-AG are stable in healthy individuals [3]. During hyperglycemic periods, the blood glucose level is above the renal threshold and reabsorption of 1,5-AG is thought to be competed with glucose causing a decline in the serum 1,5-AG level [4, 5]. Besides, an earlier study reported that 1,5-AG is not likely to be affected by moderate renal impairment. Moreover, 1,5-AG is still a reliable blood glucose marker in type 2 diabetic patients with chronic kidney disease (CKD) stages 1-3 [6].

Serum uric acid (SUA), a weak organic acid, is the end product of purine metabolism in humans. SUA levels tend to rise with increasing blood glucose levels in the healthy and prediabetes population, while SUA levels decline in a patient with type 2 mellitus (T2DM) [7]. Similar to 1,5-AG, with long-term hyperglycemia, reabsorption of UA is also restricted causing a decrease in the SUA concentrations [8]. A previous study demonstrated that SUA was positively associated with 1,5-AG levels in patients with T2DM [9, 10]. In another research, it was reported that the previously mentioned positive association was stronger in T2DM patients than those without diabetes [11]. However, little information is available on the correlation between SUA and 1,5-AG in T2DM patients with different renal function.

In the current study, therefore, we investigated the correlation between SUA and 1,5-AG using classification by a CKD disease stage in T2DM subjects.

2. Research Design and Methods

2.1. Subjects

In this retrospective study, we enrolled 405 patients that were diagnosed with T2DM [according to guidelines of the World Health Organization (WHO) in1999] and treated from January 2013 to December 2015 in the Endocrinology and Metabolism Department of Southeast University-Affiliated Zhongda Hospital. Patients with cancer, liver dysfunction, or other illnesses affecting renal function such as renal artery stenosis were excluded, and patients using drugs like UA-lowering agents, diuretics, or fructose that might influence the level of UA were excluded. Type 1 diabetes and mitochondrial diabetes were excluded by clinical and immunological criteria.

2.2. Clinical and Biochemical Information

We collected patients’ information: medication use, duration of diabetes, body mass index (BMI), blood pressure, and so on. Moreover, we sampled blood samples from all subjects between 7:00 and 9:00 a.m. and tested the serum concentrations of UA, creatinine, TC, TG, LDL, and HDL (Roche Diagnostic GmbH, Mannheim, Germany). Fasting blood glucose (FBG) and HbA1c were measured with an automated analyzer (Kyoto, Japan). 1,5-AG was estimated by using the GlycoMark assay (Tomen America, USA). Estimated glomerular filtration rate (eGFR) was calculated by the Modified Diet in Renal Disease (MDRD) study equation for the Chinese diabetic population as follows: eGFR = 1.211 × 170 sCr^−0.999 × age^−0.176 × BUN^−0.170 × Alb^+0.318× 0.762 (female) [12, 13]. Subjects with eGFR > 90 mL/min/1.73 m² were categorized under stage 1 (normal kidney function), 60-89 mL/min/1.73 m² under stage 2 (mild renal failure), 30-59 mL/min/1.73 m² under stage 3 (moderate renal failure), and 15-29 mL/min/1.73 m² under stage 4 (severely reduced kidney function). Nearly a quarter of the subjects in our study were found to have mild to moderate renal impairment including 62 patients with mild renal failure and 29 patients with moderate renal failure. Moreover, urine albumin-to-creatinine ratio (ACR) ≥ 30.0 mg/gCre is a risk factor for GFR decline and is included in the definition of CKD if it persists for ≥3 months [14, 15]. Therefore, ACR was also calculated for the evaluation of renal function and patients with ACR 0-29.9 mg/gCre were considered as normoalbuminuria, 30.0-299.9 mg/gCre as microalbuminuria, and ≥300 mg/gCre as macroalbuminuria.

2.3. Statistical Analysis

SPSS Software (version 21, SPSS Inc., Chicago, IL, USA) was utilized for the statistical analyses. Independent -test, bivariate analysis, and multivariate regression were conducted to calculate the data. Continuous data are given as the mean ± SD, and categorical data are expressed as the percentage. value < 0.05 was considered statistically significant.

3. Results

3.1. Subjects’ Characteristics

The general clinical data gathered for each gender group are presented in Table 1. There were 192 women (including 71 premenopausal women and 121 postmenopausal women) and 213 men, and the female participants recruited in this study were older than male volunteers (62.9 ± 12.1 and 56.9 ± 13.8 years, respectively, ). The male group showed higher levels of SUA than the female group (282.1 ± 91.2 and 244.7 ± 71.89 μmol/L, respectively, ), while eGFR, ACR, and serum 1,5-AG levels had no significant difference. Moreover, SUA levels among women with menopause were higher than those among premenopausal women (234.7 ± 66.57 and 247.9 ± 73.34 μmol/L, respectively) (Table S1).

3.2. Correlations among the 1,5-AG Level and Other Clinical Variables

With an increase of 1,5-AG concentration, the glycemic levels like FPG and HbA1c significantly decreased and SUA levels were significantly elevated (Table 2). Therefore, we identified the correlations between serum 1,5-AG level and other clinical characteristics: age, HbA1c, and so on (Table 3). In both groups, 1,5-AG was significantly positively related with the duration of diabetes ( in female and in male), UA ( in female and in male), and HbA1c ( in both genders). In addition, as shown in Figure 1, Pearson’s correlation coefficient revealed that 1,5-AG was positively associated with UA in each gender group (male: , ; female: , ), and the positive correlation also exists in premenopausal women (, ) and postmenopausal women (, ). Nevertheless, in both groups, there was no significant relationship between 1,5-AG and BMI or FPG.

(a)

(b)

3.3. Correlations between Serum 1,5-AG and SUA with Different Renal Functions

Next, we investigated the factors correlated with the positive association between serum 1,5-AG and SUA. The positive relationship still existed after adjusting possible influencing factors, such as age, BMI, blood pressure, lipids, HbA1c, and FBG, by multivariate regression analysis in both genders (Table 4). Interestingly, when taking eGFR and ACR into account, the previously mentioned positive association no longer existed (Table 4). Therefore, patients were divided into four or three groups using classification by eGFR or ACR in T2DM subjects. As indicated in Table 5 and Table S2, the association between SUA and 1,5-AG remains significant in diabetic patients with eGFR > 60 mL/min/1.73 m² () or with ACR < 300 mg/gCre ().

3.4. Correlation between 1,5-AG and HbA1c in Different Renal Functions

Finally, regression analyses were conducted to investigate the correlation between 1,5-AG and HbA1c in T2DM with different renal functions. As shown in Table 5, 1,5-AG had a negative association with HbA1c in T2DM subjects with eGFR ≥ 30 mL/min/1.73 m² ().

4. Discussion

The current study provides the evidence that SUA in relation to 1,5-AG in T2DM subjects with CKD stages 1-2. The relation was noted in both men and women. Furthermore, the negative association between HbA1c and 1,5-AG still exists in T2DM patients with eGFR ≥ 30 mL/min/1.73 m², and 1,5-AG remains a reliable glycemic control marker.

UA is a product of the metabolic breakdown of purine nucleotides and is excreted and absorbed via the kidney. When the concentration of blood glucose reaches a kidney’s reabsorptive threshold, glucose will be excreted in the urine causing the decline of reabsorption of UA, and any impairment of kidney function can result in hyperuricemia [16–18]. In the present study, SUA levels in the female group are lower compared to those in the male group, which is consistent with previous observations [19–21]. Moreover, in our research, SUA levels of menopause women were also higher than those of premenopausal women. One possible explanation for these results is that estrogens may promote renal clearance of UA. And actually, studies have demonstrated that administration of estrogen therapy to males can decrease SUA levels [22–24]. In addition, the positive relationship between SUA and 1,5-AG in the male and female groups has been reported in previous studies; however, little is known about the association in the premenopausal and postmenopausal women. Since hormonal situation may have an influence on the relationship between serum 1,5-AG and UA, we analyzed the relationship of female participants based on hormonal situation. Interestingly, as indicated in Figure S1, the positive correlation still existed in both premenopausal and postmenopausal women. Besides, similar to SUA, 1.5-AG levels of menopause women were also higher than those of premenopausal women. One possible explanation to illustrate the result is that estrogens may also promote renal clearance of 1,5-AG.

Although the positive relation between SUA and 1,5-AG has been found in a large number of studies, little is known about the association in patients with chronic renal disorder. In our present study, multivariate analyses found a positive association between SUA and 1,5-AG, independent of HbA1c and FBG. Interestingly, when taking eGFR and ACR into account, the significant association mentioned previously disappeared. Therefore, the subjects were classified into different groups based on eGFR or ACR. We found that 1,5-AG and SUA still associated positively in T2DM patients with eGFR ≥ 60 mL/min/1.73 m² or with ACR < 300 mg/gCre. However, this positive association no longer existed when eGFR declined under 60 mL/min or ACR ≥ 300 mg/gCre. Consequently, we suggest that the renal function can affect the association between SUA and 1,5-AG and some explanations may illustrate the results. Firstly, both 1,5-AG and UA were competitively reabsorbed with renal glucose in the proximal tubules [25, 26], and it has been reported that renal disorder can affect UA transport in diabetic patients and 1,5-AG was negatively associated with kidney function [27, 28]. Secondly, a previous study reported that a solute carrier (SLC) 2A9, also a fructose transporter, was identified to be a UA transporter [29]. Moreover, dapagliflozin, a sodium-glucose cotransporter (SGLT2) inhibitor, significantly decreased SUA compared with placebo and might also decrease serum 1,5-AG, indicating that 1,5-AG and UA may share the same renal transporter, and we suppose that impairment of the transporter in patients with moderate renal disorder may result in the disappearance of the positive association between 1,5-AG and SUA [30, 31]. Furthermore, 1,5-AG is positively correlated with SUA in T2DM patients and may share a common renal transporter with UA; therefore, 1,5-AG cannot reflect blood glucose levels accurately in patients who take uricosuric medicine like benzbromarone.

Currently, HbA1C is the “gold standard” for identifying the overall blood glucose control; however, 1,5-AG which can reflect rapid changes in glycemia is more accurate than HbA1C [32]. Therefore, 1,5-AG as a blood glucose marker can provide complementary information to HbA1C. Moreover, in our previous observation, we demonstrated that serum 1,5-AG is a sensitive and specific glycemic control marker and can identify diabetes in populations [33]. However, unlike HbA1c, multiple factors such as diet and renal function may limit the comparison of 1,5-AG levels between individuals. Some researchers reported that 1,5-AG cannot be used to predicate blood glucose in patients that suffer from impaired renal function [34]. In the present study, the subjects were classified into different groups by eGFR, and we found that 1,5-AG was still negatively associated with HbA1c in T2DM subjects with eGFR ≥ 30 mL/min/1.73 m². Considering these results, we conclude that 1,5-AG remain a reliable glycemic control marker even if patients suffer mild or moderate renal dysfunction, which is consistent with a previous observation [35]. In addition, in the current study, we showed that serum 1,5-AG levels were not influenced by eGFR, whereas a previous study reported that 1,5-AG was negatively correlated with kidney function, which might be owing to an age-associated decrease in the renal glucose threshold [28].

The limitations of the present study include the following: our study is a cross-sectional design in a single center with a high risk of selection bias; the consumption of meat or alcohol was not examined, and urate oxidase was not assessed.

Collectively, the present study provides the evidence that 1,5-AG was positively associated with SUA in T2DM patients with mild and moderate renal failure. In addition, 1,5-AG can reflect the glucose metabolic situation in patients with CKD stages 1-3.

Data Availability

All the data supporting the results are shown in the paper and can be applicable from the corresponding author.

Ethical Approval

This study was approved by the Research Ethics Committee of Zhongda Hospital. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008.

Informed consent was obtained from all individual participants included in the study.

Conflicts of Interest

The authors declared that they have no conflict of interest.

Supplementary Materials

Supplementary Material Description: clinical characteristics of female participants based on menopausal status are shown in Table S1, and SUA levels among women with menopause were higher than those among premenopausal women. Table S2 shows the correlations between 1,5-anhydroglucitol and uric acid with different ACR. The association between SUA and 1,5-AG remains significant in diabetic patients with ACR < 300 mg/gCre (). The relationship between levels of serum 1,5-AG and serum UA in premenopausal women (,) and in postmenopausal women (,) are shown by Pearson’s correlation coefficient in Figure S1. (Supplementary Materials)

References

X. Ma, Y. Hao, X. Hu et al., “1,5-anhydroglucitol is associated with early-phase insulin secretion in chinese patients with newly diagnosed type 2 diabetes mellitus,” Diabetes Technology & Therapeutics, vol. 17, no. 5, pp. 320–326, 2015.
View at: Publisher Site | Google Scholar
H. Su, X. Ma, J. Yin et al., “Serum 1,5-anhydroglucitol levels slightly increase rather than decrease after a glucose load in subjects with different glucose tolerance status,” Acta Diabetologica, vol. 54, no. 5, pp. 463–470, 2017.
View at: Publisher Site | Google Scholar
L. Ying, X. Ma, J. Yin et al., “The metabolism and transport of 1,5-anhydroglucitol in cells,” Acta Diabetologica, vol. 55, no. 3, pp. 279–286, 2018.
View at: Publisher Site | Google Scholar
Y. Akanuma, M. Morita, N. Fukuzawa, T. Yamanouchi, and H. Akanuma, “Urinary excretion of 1,5-anhydro-D-glucitol accompanying glucose excretion in diabetic patients,” Diabetologia, vol. 31, no. 11, pp. 831–835, 1988.
View at: Google Scholar
T. Yamanouchi, S. Minoda, M. Yabuuchi et al., “Plasma 1,5-anhydro-D-glucitol as new clinical marker of glycemic control in NIDDM patients,” Diabetes, vol. 38, no. 6, pp. 723–729, 1989.
View at: Publisher Site | Google Scholar
W. J. Kim, C. Y. Park, K. B. Lee et al., “Serum 1,5-anhydroglucitol concentrations are a reliable index of glycemic control in type 2 diabetes with mild or moderate renal dysfunction,” Diabetes Care, vol. 35, no. 2, pp. 281–286, 2012.
View at: Publisher Site | Google Scholar
J. Tuomilehto, P. Zimmet, E. Wolf, R. Taylor, P. Ram, and H. King, “Plasma uric acid level and its association with diabetes mellitus and some biologic parameters in a biracial population of Fiji,” American Journal of Epidemiology, vol. 127, no. 2, pp. 321–336, 1988.
View at: Publisher Site | Google Scholar
P. Bandaru and A. Shankar, “Association between serum uric acid levels and diabetes mellitus,” International Journal of Endocrinology, vol. 2011, Article ID 604715, 6 pages, 2011.
View at: Publisher Site | Google Scholar
M. Gotoh, C. Li, M. Yatoh, A. Iguchi, and Y. Hirooka, “Serum uric acid concentrations in type 2 diabetes: its significant relationship to serum 1,5-anhydroglucitol concentrations,” Endocrine Regulations, vol. 39, no. 4, pp. 119–125, 2005.
View at: Google Scholar
M. Koga, J. Murai, H. Saito et al., “Close relationship between serum concentrations of 1,5-anhydroglucitol and uric acid in non-diabetic male subjects implies common renal transport system,” Clinica Chimica Acta, vol. 410, no. 1-2, pp. 70–73, 2009.
View at: Publisher Site | Google Scholar
M. Ouchi, K. Oba, J. Aoyama et al., “Serum uric acid in relation to serum 1,5-anhydroglucitol levels in patients with and without type 2 diabetes mellitus,” Clinical Biochemistry, vol. 46, no. 15, pp. 1436–1441, 2013.
View at: Publisher Site | Google Scholar
C. F. Kuo, K. H. Yu, Y. M. Shen, and L. C. See, “The Chinese version of the modification of diet in renal disease (MDRD) equation is a superior screening tool for chronic kidney disease among middle-aged Taiwanese than the original MDRD and Cockcroft-Gault equations,” Biomedical Journal, vol. 37, no. 6, pp. 398–405, 2014.
View at: Publisher Site | Google Scholar
Y. C. Ma, L. Zuo, J. H. Chen et al., “Modified glomerular filtration rate estimating equation for Chinese patients with chronic kidney disease,” Journal of the American Society of Nephrology, vol. 17, no. 10, pp. 2937–2944, 2006.
View at: Publisher Site | Google Scholar
A. Levin and P. E. Stevens, “Summary of KDIGO 2012 CKD guideline: behind the scenes, need for guidance, and a framework for moving forward,” Kidney International, vol. 85, no. 1, pp. 49–61, 2014.
View at: Publisher Site | Google Scholar
T. Melsom, M. D. Solbu, J. Schei et al., “Mild albuminuria is a risk factor for faster GFR decline in the nondiabetic population,” Kidney International Reports, vol. 3, no. 4, pp. 817–824, 2018.
View at: Publisher Site | Google Scholar
D. P. Hyink, J. Z. Rappoport, P. D. Wilson, and R. G. Abramson, “Expression of the urate transporter/channel is developmentally regulated in human kidneys,” American Journal of Physiology Renal Physiology, vol. 281, no. 5, pp. F875–F886, 2001.
View at: Publisher Site | Google Scholar
S. Tazawa, T. Yamato, H. Fujikura et al., “SLC5A9/SGLT4, a new Na+−dependent glucose transporter, is an essential transporter for mannose, 1,5-anhydro-D-glucitol, and fructose,” Life Sciences, vol. 76, no. 9, pp. 1039–1050, 2005.
View at: Publisher Site | Google Scholar
T. Yamanouchi, H. Akanuma, T. Nakamura, I. Akaoka, and Y. Akanuma, “Reduction of plasma 1,5-anhydroglucitol (1-deoxyglucose) concentration in diabetic patients,” Diabetologia, vol. 31, no. 1, pp. 41–45, 1988.
View at: Google Scholar
F. Mateos Antón, J. García Puig, T. Ramos, P. González, and J. Ordás, “Sex differences in uric acid metabolism in adults: evidence for a lack of influence of estradiol-17β (E₂) on the renal handling of urate,” Metabolism, vol. 35, no. 4, pp. 343–348, 1986.
View at: Publisher Site | Google Scholar
S. Akizuki, “Serum uric acid levels among thirty-four thousand people in Japan,” Annals of the Rheumatic Diseases, vol. 41, no. 3, pp. 272–274, 1982.
View at: Publisher Site | Google Scholar
J. G. Puig, F. A. Mateos, M. E. Miranda et al., “Purine metabolism in women with primary gout,” The American Journal of Medicine, vol. 97, no. 4, pp. 332–338, 1994.
View at: Publisher Site | Google Scholar
A. E. Hak and H. K. Choi, “Menopause, postmenopausal hormone use and serum uric acid levels in US women--the Third National Health and Nutrition Examination Survey,” Arthritis Research & Therapy, vol. 10, no. 5, p. R116, 2008.
View at: Publisher Site | Google Scholar
H. Sumino, S. Ichikawa, T. Kanda, T. Nakamura, and T. Sakamaki, “Reduction of serum uric acid by hormone replacement therapy in postmenopausal women with hyperuricaemia,” The Lancet, vol. 354, no. 9179, p. 650, 1999.
View at: Publisher Site | Google Scholar
E. V. Lally, G. Ho Jr, and S. R. Kaplan, “The clinical spectrum of gouty arthritis in women,” Archives of Internal Medicine, vol. 146, no. 11, pp. 2221–2225, 1986.
View at: Publisher Site | Google Scholar
T. Yamanouchi and Y. Akanuma, “Serum 1,5-anhydroglucitol (1,5 AG): new clinical marker for glycemic control,” Diabetes Research and Clinical Practice, vol. 24, Supplement, pp. S261–S268, 1994.
View at: Publisher Site | Google Scholar
T. Yamanouchi, T. Shinohara, N. Ogata, Y. Tachibana, I. Akaoka, and H. Miyashita, “Common reabsorption system of 1,5-anhydro-D-glucitol, fructose, and mannose in rat renal tubule,” Biochimica et Biophysica Acta (BBA) – General Subjects, vol. 1291, no. 1, pp. 89–95, 1996.
View at: Publisher Site | Google Scholar
I. Hisatome, N. Sasaki, M. Yamakawa et al., “Two cases of persistent hypouricemia associated with diabetes mellitus,” Nephron, vol. 61, no. 2, pp. 196–199, 1992.
View at: Publisher Site | Google Scholar
C. Hasslacher and F. Kulozik, “Effect of renal function on serum concentration of 1,5-anhydroglucitol in type 2 diabetic patients in chronic kidney disease stages I-III: a comparative study with HbA1c and glycated albumin,” Journal of Diabetes, vol. 8, no. 5, pp. 712–719, 2016.
View at: Publisher Site | Google Scholar
A. Enomoto, H. Kimura, A. Chairoungdua et al., “Molecular identification of a renal urate anion exchanger that regulates blood urate levels,” Nature, vol. 417, no. 6887, pp. 447–452, 2002.
View at: Publisher Site | Google Scholar
V. Vitart, I. Rudan, C. Hayward et al., “SLC2A9 is a newly identified urate transporter influencing serum urate concentration, urate excretion and gout,” Nature Genetics, vol. 40, no. 4, pp. 437–442, 2008.
View at: Publisher Site | Google Scholar
G. Musso, R. Gambino, M. Cassader, and G. Pagano, “A novel approach to control hyperglycemia in type 2 diabetes: sodium glucose co-transport (SGLT) inhibitors: systematic review and meta-analysis of randomized trials,” Annals of Medicine, vol. 44, no. 4, pp. 375–393, 2012.
View at: Publisher Site | Google Scholar
H. Seok, J. H. Huh, H. M. Kim et al., “1,5-anhydroglucitol as a useful marker for assessing short-term glycemic excursions in type 1 diabetes,” Diabetes and Metabolism Journal, vol. 39, no. 2, pp. 164–170, 2015.
View at: Publisher Site | Google Scholar
Y. Wang, Y. Yuan, Y. Zhang et al., “Serum 1,5-anhydroglucitol level as a screening tool for diabetes mellitus in a community-based population at high risk of diabetes,” Acta Diabetologica, vol. 54, no. 5, pp. 425–431, 2017.
View at: Publisher Site | Google Scholar
H. Ichikawa, Y. Nagake, M. Takahashi et al., “What is the best index of glycemic control in patients with diabetes mellitus on hemodialysis,” Nihon Jinzo Gakkai Shi, vol. 38, no. 7, pp. 305–308, 1996.
View at: Google Scholar
Y. Wang, Y. Bai, R. Yang, and Y. Song, “Serum 1,5-anhydroglucitol concentrations remain valid as a glycemic control marker in diabetes with earlier chronic kidney disease stages,” Experimental and Clinical Endocrinology & Diabetes, 2017.
View at: Publisher Site | Google Scholar

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Copyright © 2019 Kai Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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