Literature DB >> 28671149

Evaluation of neutrophil gelatinase-associated lipocalin and cystatin C as early markers of diabetic nephropathy.

Zeba Siddiqi1, Ritu Karoli2, Anupama Kaul3, Jalees Fatima1, Shishir Varshney1, Mohd Sameer Beg1.   

Abstract

INTRODUCTION: Diabetes mellitus (DM) is a major cause of concern because of its increasing prevalence rate and related microvascular as well as macrovascular complications, including kidney disease. Microalbuminuria has been accepted as the earliest marker for diabetic nephropathy; however, a large proportion of renal impairment occurs in nonalbuminuric state. We planned to investigate the serum and urinary levels of the tubular damage markers (neutrophil gelatinase-associated lipocalin [NGAL] and cystatin C [Cys C]) in patients of type 2 diabetes to detect early kidney injury.
MATERIALS AND METHODS: This cross-sectional hospital-based study included 180 patients with type 2 DM according to the American Diabetes Association criteria. Serum NGAL (S.NGAL) and urine NGAL (U.NGAL) and Cys C were measured in all study participants and investigated for correlation with microalbuminuria.
RESULTS: Our results showed that U.NGAL and S.NGAL levels were significantly high in patients with microalbuminuria as compared to normoalbuminuric controls. Serum Cys C was also higher in microalbuminuric patients than who had normoalbuminuria. A positive correlation of urinary albumin excretion with S.NGAL and U.NGAL was noted. U.NGAL also showed positive correlation with duration of diabetes, glycated hemoglobin, and dyslipidemia. Receiver operating characteristic curve analysis showed that the area under the curve for U.NGAL and S.NGAL were 1 and 0.8, respectively, which indicates that they are sensitive markers for early renal damage.
CONCLUSION: Urinary biomarkers were significantly elevated in normoalbuminuric type 2 diabetic patients compared with nondiabetic controls and could be used as markers of nephropathy at a very early stage even before the development of microalbuminuria, the current gold standard for early diagnosis. Despite the promise of these new biomarkers, further large, multicenter prospective studies are still needed.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28671149      PMCID: PMC5579892          DOI: 10.4103/aam.aam_12_17

Source DB:  PubMed          Journal:  Ann Afr Med        ISSN: 0975-5764


INTRODUCTION

Diabetes mellitus (DM) is a major cause of concern because of its increasing prevalence rate globally that has led to consequent increase in the incidence of related microvascular as well as macrovascular complications, including kidney disease.[1] Diabetes has been found to be the cause of end-stage renal disease (ESRD) in nearly 45% of patients undergoing dialysis.[23] In a study from India, 46% of the T2DM patients had chronic kidney disease (CKD), urinary albumin-creatinine ratio (UACR) ≥30 mg/g, and/or estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2.[4] Development of CKD complicates the scenario by adding to the already elevated risk of morbidity and mortality with a significant impact on the health-care infrastructure.[5] Declining GFR limits oral antidiabetic agent options available for optimal glycemic control. Cardiovascular events have been found to increase by 19%–40% as the GFR declines from ≥90 ml/min/1.73 m2 to < 45 ml/min/1.73 m2.[6] Classically, albuminuria is regarded as the consequence of diabetes-induced glomerular damage. The onset of elevated levels of urinary albumin excretion is an early sign of diabetic nephropathy. Various studies have shown that in patients with diabetes, microalbuminuria predicts the occurrence of macroalbuminuria and renal function decline.[7] As a result, high albuminuria has become an established marker of CKD in these patients[8] More recently, it is increasingly appreciated that the renal tubulointerstitium plays a role in the pathogenesis of diabetic nephropathy with prolonged exposure to a variety of metabolic and hemodynamic injuring factors that are associated with sustained hyperglycemia as contributing factors.[9] Markers of tubular damage are discovered and extensively investigated in predicting the occurrence of acute kidney injury after various nephrotoxic insults, such as ischemia during cardiac surgery, sepsis, and administration of contrast agents.[1011] Little research has been done about their role as early markers in patients with CKD.[121314] In this study, we investigate the serum and urinary levels of the tubular damage markers (neutrophil gelatinase-associated lipocalin [NGAL] and cystatin C [Cys C]) in patients with type 2 diabetes to detect early kidney injury and correlate them with albuminuria.

MATERIALS AND METHODS

This is a cross-sectional study conducted at medical college hospital of North India between January and December 2016. We included 180 patients with type 2 DM according to the American Diabetes Association criteria[15] from medical wards and outpatient departments. A written informed consent was obtained from all study participants, and study was approved by the Institutional Ethics Committee. All patients with hypertension, cancer, infections, inflammatory states, cardiovascular, pulmonary, other endocrinal diseases, and severe renal impairment (eGFR ≤ 30 mL/min), according to the Modification of Diet in Renal Disease equation, were excluded from the study to avoid potential confounding factors.[16] Patients were stratified according to UACR into three groups: normoalbuminuria (<30 mg/g Cr), microalbuminuria (30300 mg/g Cr), and macroalbuminuria (>300 mg/g Cr).[17] First morning urine specimens were obtained to measure urine creatinine, albumin, and NGAL. Microalbuminuria was measured by immunonephelometric method on Prospec Siemens (Siemens Healthcare Diagnostic Inc., Newark, USA). Serum Cys C (sCys C) was measured by nephelometry (reagents obtained from Siemens Marburg, Germany). The serum NGAL (S.NGAL) and urine NGAL (U.NGAL) were measured by ELISA (enzyme-linked immunosorbent assay), and antibodies were obtained from R and D Systems, Minneapolis, MN, USA.

Statistical analysis

Statistical analysis was done using the Statistical Package for Social Sciences (SPSS 15.0 version SPSS Inc., Chicago, IL, USA). The qualitative variables were described as frequencies and proportions while quantitative variables as mean and standard deviation. Logarithmtransformed values of urinary albumin and NGAL levels were used for analyses due to their skewed distribution. Student's t-test was used for comparing the means of continuous variables. Numbers and percentages were compared by Chi-square test. The associations between kidney injury markers and age, sex, glycemic status, duration of diabetes, and other parameters were examined by Spearman's correlation coefficients. A coefficient was considered weak if <0.25, mild if between 0.25 and 0.49, moderate if between 0.5 and 0.74, and strong if >0.75. Receiver operating characteristic (ROC) curve analysis was done to identify the optimal cutoff of U.NGAL for detection of microalbuminuria. P < 0.05 was considered significant.

RESULTS

Out of these 180 patients, 90 patients of type 2 diabetes with microalbuminuria were defined as cases and ninety patients who had normoalbuminuria were defined as controls. Out of 90 patients with microalbuminuria, 48 were males and 42 females, while among normoalbuminurics, 50 were males and 40 females. Table 1 is showing the baseline characteristics, clinical, and laboratory data of the study participants in two groups.
Table 1

Clinical and biochemical parameters of study participants

ParametersControls Patients with normoalbuminuria (n=90)Cases Patients with microalbuminuria (n=90)P
Age44.6±5.554.7±8.80.02
Male gender (%)53560.12
BMI (kg/m2)26.16±2.0227.33±2.490.05
Waist circumference (cm)93.88±4.8597.04±5.40.04
Duration of diabetes (years)7.3±3.413.7±6.60.001
Systolic blood pressure (mmHg)120±6.32137.9±120.01
Diastolic blood pressure (mmHg)80±688.02±100.03
HbA1c7.02±0.58.74±2.160.04
LDL cholesterol (mg/dL)112.6±11.5132±20.970.001
HDL cholesterol (mg/dL)44±5.636±4.20.01
Triglyceride (mg/dL)118.5±10.5145.93±20.930.03

Data are expressed in mean±SD. SD=Standard deviation, LDL=Low-density lipoprotein, HDL=High-density lipoprotein, BMI=Body mass index, HbA1c=Glycated hemoglobin

Clinical and biochemical parameters of study participants Data are expressed in mean±SD. SD=Standard deviation, LDL=Low-density lipoprotein, HDL=High-density lipoprotein, BMI=Body mass index, HbA1c=Glycated hemoglobin Our results showed that U.NGAL and S.NGAL levels were significantly high in cases as compare to controls [Figure 1]. sCys C was also higher in microalbuminuric patients than who had normoalbuminuria as depicted in Table 2.
Figure 1

Box plots drawn between cases and controls show the increase levels of serum neutrophil gelatinase-associated lipocalin and serum cystatin C in cases

Table 2

Renal injury markers in study participants

VariableCases Patients with normoalbuminuria (n=90)Controls Patients with microalbuminuria (n=90)P
Albuminuria (mg)20.4±10.6176.94±48.380.002
Urine albumin/creatinine (mg/g)11.08±1.455.25±41.20.01
Urine NGAL (ng/mL)4.82±0.810.3±2.070.01
Serum NGAL (ng/mL)126.68±12.33155.06±30.150.04
Serum cystatin C (ng/mL)557.52±127.481739.45±1395.230.001

Data are expressed in mean±SD. SD=Standard deviation, NGAL=Neutrophil gelatinase-associated lipocalin

Box plots drawn between cases and controls show the increase levels of serum neutrophil gelatinase-associated lipocalin and serum cystatin C in cases Renal injury markers in study participants Data are expressed in mean±SD. SD=Standard deviation, NGAL=Neutrophil gelatinase-associated lipocalin Correlation analysis [Table 3] revealed positive correlation of urinary albumin excretion with S.NGAL and U.NGAL. U.NGAL showed stronger positive correlation with level of albuminuria than S.NGAL. U.NGAL was significantly higher in microalbuminuric in comparison with normoalbuminuric controls [Figure 2] and correlated positively with urine albumin-creatinine ratio. U.NGAL had a positive correlation with duration of diabetes, glycated hemoglobin (HbA1c), and dyslipidemia.
Table 3

Correlation analysis of renal injury markers with other parameters

VariableUrine NGALSerum NGALSerum cystatin C



rPrPrP
Age0.150.4270.2140.06−0.120.455
Duration of diabetes0.3800.010.3800.80−0.540.615
HbA1c−0.470.662−0.1000.347−0.420.692
Albuminuria0.620.0010.420.010.620.02
Dyslipidemia0.480.020.260.050.040.951

NGAL=Neutrophil gelatinase-associated lipocalin, HbA1c=Glycated hemoglobin

Figure 2

Box plots show increased level of urine albumin/creatinine ratio and urine neutrophil gelatinase-associated lipocalin in cases and controls

Correlation analysis of renal injury markers with other parameters NGAL=Neutrophil gelatinase-associated lipocalin, HbA1c=Glycated hemoglobin Box plots show increased level of urine albumin/creatinine ratio and urine neutrophil gelatinase-associated lipocalin in cases and controls The ROC curve analysis for detection of microalbuminuria by U.NGAL is illustrated in the Figure 3. ROC curve analysis showed that the area under the curve for U.NGAL and S.NGAL were 1 and 0.8, respectively, which indicates that they are sensitive markers for early renal damage.
Figure 3

Receiver operating characteristic curve analysis showed that the area under the curve for urine neutrophil gelatinase-associated lipocalin and serum neutrophil gelatinase-associated lipocalin are 1 and 0.8, respectively, which indicates that they are sensitive markers for early renal damage

Receiver operating characteristic curve analysis showed that the area under the curve for urine neutrophil gelatinase-associated lipocalin and serum neutrophil gelatinase-associated lipocalin are 1 and 0.8, respectively, which indicates that they are sensitive markers for early renal damage

DISCUSSION

In the present study, we assessed novel markers of acute kidney injury in patients with diabetic nephropathy which has not been adequately addressed in our patients. Burden of type 2 diabetes is a growing concern and so it is associated chronic complications.[18] Diabetic nephropathy occurs in 20%–40% patients of type 2 diabetes.[19] Although the presence of albuminuria is established marker of nephropathy,[20] renal dysfunction in diabetes does not always preceded or accompanied by albuminuria; several new biomarkers are being investigated in hope to detect nephropathy at the earliest.[2122232425] We included study participants who had normoalbuminuria and microalbuminuria with the aim to observe that the presence of tubulopathy that could have been preceded nephropathy. Our patients with microalbuminuria had increased duration of diabetes and higher waist circumference than who had normoalbuminuria. They also had higher systolic and diastolic blood pressures with propensity to develop CKD than their normoalbuminuric counterparts in concordance with the natural history of diabetic nephropathy. In the present study, both S.NGAL and U.NGAL and Cys C as markers of tubulopathy were significantly higher in patients with microalbuminuria than normoalbuminuria. The patients who had normoalbuminuria were also having higher levels of these markers than normal controls, which means that these markers seem to increase in parallel with the severity of kidney disease, reaching higher levels in patients with manifestation of diabetic nephropathy. ROC curve analysis showed that the area under the curve for U.NGAL and S.NGAL were 1 and 0.8, respectively, which indicated that they were sensitive markers for early renal damage. A more recent study has reported that U.NGAL was significantly higher in type 2 diabetes patients than in controls and in micro- and macro-albuminuric than in normoalbuminuric patients and was positively correlated to urinary albumin excretion.[26] In a study, Bolignano et al.[27] included 96 patients with CKD stages 2–4, among them 20% with diabetic nephropathy. All the patients were followed prospectively until the end of the observation period (20 months) or the primary study end point defined as doubling of baseline serum creatinine and/or the onset of ESRD. Baseline U.NGAL and S.NGAL levels predicted CKD progression in univariate and multivariate analysis independently of other potential confounders, including eGFR and age. Fu et al. showed that U.NGAL was markedly increased in the type 2 diabetes patients compared with the controls and was significantly increased from the normoalbuminuria to macroalbuminuria group. U.NGAL showed stronger positive correlations with UACR and negative correlation with eGFR. The study suggested that tubular damage is common in short-term type 2 diabetes patients, and U.NGAL may be a promising early marker for monitoring renal impairment in these patients.[28] A follow-up study by Yang et al. found an increasing tendency of U.NGAL in type 2 diabetics, from normoalbuminuria group to macroalbuminuria group, at both baseline and follow-up levels. U.NGAL was found to be correlated positively with urine Cys C, urea nitrogen, and serum creatinine (and inversely with GFR, indicating that U.NGAL could be used to predict the progression of nephropathy in type-2 diabetic patients.[29] Cys C, a cysteine protease inhibitor constantly produced by all nucleated cells, has been suggested as a marker of glomerular and tubular dysfunction for early diagnosis of diabetic nephropathy. In a study by Uslu et al., urine Cys C levels were significantly higher in microalbuminuria group compared to normoalbuminuria and were positively correlated with urine albumin-creatinine ratio in both diabetes and prediabetes.[30] Garg et al. in their study on prediabetic patients had similar observations that urine levels of NGAL and Cys C were significantly higher in microalbuminuria group compared to normoalbuminuria.[31] Many other studies have reported that Cys C levels of urine might be a marker of early renal damage among patients with type 2 DM.[3233] Urinary levels of Cys C were significantly increased in patients with microalbuminuria without any other urinary abnormality and with normal serum creatinine. Another study from type 2 diabetes patients found that increased urinary Cys C was associated with decline in GFR, suggesting that higher urinary Cys C excretion was a better predictor of early nephropathy.[34] All these data suggest that Cys C is a promising biomarker for detection of early nephropathy in type 2 diabetics. In the present study, U.NGAL had a positive correlation with albumin-creatinine ratio, duration of diabetes, HbA1c, and dyslipidemia. Our results are in concordance to study by Hafez et al. who reported similar observations.[35] The present study showed that U.NGAL and S.NGAL and sCys C levels were significantly increased in diabetic patients with microalbuminuria than those who had normoalbuminuria. This finding may support the hypothesis of a “tubular phase” of diabetic disease preceding overt diabetic nephropathy and hence the use of these markers, especially U.NGAL measurement for early evaluation of renal involvement even before appearance of microalbuminuria.[35] Our study has novelty in this respect that there are not many studies available on utility of acute kidney injury markers in diabetic nephropathy in our population; however, there are certain limitations of our study such as small sample size, its cross-sectional design, and less number of markers which could be assessed.

CONCLUSION

Microalbuminuria has been accepted and established as the earliest marker for diabetic nephropathy; however, a large proportion of renal impairment occurs in nonalbuminuric state. Urinary biomarkers were significantly elevated in normoalbuminuric type 2 diabetes patients compared with nondiabetic controls and could be used as markers of nephropathy at a very early stage even before the development of microalbuminuria, the current gold standard for early diagnosis. Despite the promise of these new biomarkers, further large, multicenter prospective studies are still needed to confirm their utility as a screening tool in clinical practice. It is important to implement different strategies for earlier detection of nephropathy aiming to prevent the long-term devastating outcomes of renal loss in diabetics.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  31 in total

Review 1.  Diabetic nephropathy: the central role of renal proximal tubular cells in tubulointerstitial injury.

Authors:  A O Phillips; R Steadman
Journal:  Histol Histopathol       Date:  2002-01       Impact factor: 2.303

2.  Serum cystatin C and urinary enzymes as screening markers of renal dysfunction in diabetic patients.

Authors:  Sema Uslu; Belgin Efe; Ozkan Alataş; Nur Kebapçi; Omer Colak; Canan Demirüstü; Ayşe Yörük
Journal:  J Nephrol       Date:  2005 Sep-Oct       Impact factor: 3.902

3.  Standards of medical care in diabetes--2013.

Authors: 
Journal:  Diabetes Care       Date:  2013-01       Impact factor: 19.112

Review 4.  Novel urinary biomarkers in early diabetic kidney disease.

Authors:  Atsuko Kamijo-Ikemori; Takeshi Sugaya; Kenjiro Kimura
Journal:  Curr Diab Rep       Date:  2014-08       Impact factor: 4.810

5.  Detection of an earlier tubulopathy in diabetic nephropathy among children with normoalbuminuria.

Authors:  Mona H Hafez; Fatma A F El-Mougy; Samuel H Makar; Semon Abd El Shaheed
Journal:  Iran J Kidney Dis       Date:  2015-03       Impact factor: 0.892

6.  Evaluation of neutrophil gelatinase-associated lipocalin in normoalbuminuric normotensive type 1 diabetic adolescents.

Authors:  Korcan Demir; Ayhan Abaci; Tuncay Küme; Ayça Altincik; Gönül Catli; Ece Böber
Journal:  J Pediatr Endocrinol Metab       Date:  2012       Impact factor: 1.634

7.  Predicting diabetic nephropathy in insulin-dependent patients.

Authors:  C E Mogensen; C K Christensen
Journal:  N Engl J Med       Date:  1984-07-12       Impact factor: 91.245

8.  Nonalbuminuric renal insufficiency in type 2 diabetes.

Authors:  Richard J MacIsaac; Con Tsalamandris; Sianna Panagiotopoulos; Trudy J Smith; Karen J McNeil; George Jerums
Journal:  Diabetes Care       Date:  2004-01       Impact factor: 19.112

9.  Urinary cystatin C and tubular proteinuria predict progression of diabetic nephropathy.

Authors:  Sang Soo Kim; Sang Heon Song; In Joo Kim; Yun Kyung Jeon; Bo Hyun Kim; Ihm Soo Kwak; Eun Kyung Lee; Yong Ki Kim
Journal:  Diabetes Care       Date:  2012-10-23       Impact factor: 19.112

10.  Serum cystatin C and tubular urinary enzymes as biomarkers of renal dysfunction in type 2 diabetes mellitus.

Authors:  Heba S Assal; Salwa Tawfeek; Enas A Rasheed; Dalia El-Lebedy; Eman H Thabet
Journal:  Clin Med Insights Endocrinol Diabetes       Date:  2013-07-31
View more
  4 in total

1.  miR-30c-5p Reduces Renal Ischemia-Reperfusion Involving Macrophage.

Authors:  Chengjun Zhang; Shengqiang Yu; Binyan Zheng; Dongfu Liu; Fengchun Wan; Yue Ma; Jiantao Wang; Zhenli Gao; Zhengfei Shan
Journal:  Med Sci Monit       Date:  2019-06-11

2.  Clinical efficacy of linagliptin combined with irbesartan in patients with diabetic nephropathy.

Authors:  Jie Liu; Jing Zhang; Ming-Hui Hou; Wei-Xuan Du
Journal:  Pak J Med Sci       Date:  2022 Jan-Feb       Impact factor: 1.088

Review 3.  Review of potential biomarkers of inflammation and kidney injury in diabetic kidney disease.

Authors:  Vuthi Khanijou; Neda Zafari; Melinda T Coughlan; Richard J MacIsaac; Elif I Ekinci
Journal:  Diabetes Metab Res Rev       Date:  2022-07-11       Impact factor: 8.128

4.  Comment on: Evaluation of early biomarkers of renal dysfunction in diabetic patients.

Authors:  Abdulghani H Alsaeed
Journal:  Saudi Med J       Date:  2020-10       Impact factor: 1.484

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.