Is neutrophil gelatinase-associated lipocalin a good diagnostic marker for renal injury in asphyxiated preterm infants?
Jing-Jing Pan1, Zhong-Yi Sun1, Xiao-Yu Zhou2, Yu-Hua Hu1, Rui Cheng2, Xiao-Qing Chen1, Yang Yang2
1 Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
2 Department of Neonates, Children's Hospital of Nanjing Medical University, Nanjing 210008, China
|Date of Submission||21-Feb-2018|
|Date of Decision||09-Apr-2018|
|Date of Acceptance||03-Aug-2018|
|Date of Web Publication||26-Oct-2018|
Dr. Xiao-Qing Chen
Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029
Dr. Yang Yang
Department of Neonates, Children’s Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing 210008
Source of Support: None, Conflict of Interest: None
Background: The objective of this study is to evaluate the value of neutrophil gelatinase-associated lipocalin (NGAL) for becoming a good endogenous marker of renal function in asphyxial preterm babies. Materials and Methods: This is a two-center retrospective study. Between October 2016 and October 2017, 71 asphyxial preterm infants were included in asphyxia group. Seventy babies were randomly included in control group. Samples were tested at 24, 48, and 96 h after birth. Quantitative data were compared by independent sample t-test or repeated measures ANOVA. For qualitative data, Pearson's Chi-squared test was performed. Draw ROC and compare the area under the curve (AUC), 95% confidence interval for AUC, specificity (Spe), sensitivity (Sen), and Youden index (Sen+Spe-1) at 24-h, 48-h, and 96-h time points. Results: (1) There are no significant differences concerning on baseline data. However, blood gas, Apgar score, and resuscitation showed a significant difference (P < 0.05). (2) In 24-h samples, only uNGAL and estimated glomerular filtration rate (eGFR) showed differences between the two groups (P < 0.05). In 48-h samples, significant differences could be found in uKIM-1, uNGAL, blood urea nitrogen, and eGFR (P < 0.05). In 96-h samples, almost all indicators have significant differences except urine output and eGFR (P < 0.05). (3) All biomarkers showed statistical difference in the three time points (P < 0.05), but only uNGAL showed a downward trend after the increase of expression. (4) uNGAL has better Sen and Spe than other indicators (24-h AUC 0.870, Youden index 0.606; 48-h AUC 0.879, Youden index 0.692; and 96-h AUC 0.806, Youden index 0.606). Conclusion: uNGAL has a better distinguishability in asphyxial neonates compared with other indicators. Certainly, a larger sample, prospective study is still needed.
Keywords: Asphyxia, kidney injury, neonate, neutrophil gelatinase-associated lipocalin
|How to cite this article:|
Pan JJ, Sun ZY, Zhou XY, Hu YH, Cheng R, Chen XQ, Yang Y. Is neutrophil gelatinase-associated lipocalin a good diagnostic marker for renal injury in asphyxiated preterm infants?. J Res Med Sci 2018;23:90
|How to cite this URL:|
Pan JJ, Sun ZY, Zhou XY, Hu YH, Cheng R, Chen XQ, Yang Y. Is neutrophil gelatinase-associated lipocalin a good diagnostic marker for renal injury in asphyxiated preterm infants?. J Res Med Sci [serial online] 2018 [cited 2018 Dec 13];23:90. Available from: http://www.jmsjournal.net/text.asp?2018/23/1/90/244278
*Jing-Jing Pan contributes equally with Zhong-Yi Sun
| Introduction|| |
After preterm babies were born, kidney development is still unfinished. Kidney function and structure are immature and fragile accordingly. These newborns are often affected by renal immaturity and potential injury during the early postnatal stage., For example, asphyxia is a common and important cause of disability and death (such as periventricular leukomalacia and cerebral palsy) for preterm babies. In Neonatal Intensive Care Unit (NICU), in spite of great advances in neonatal resuscitation, there are still a significant amount of preterm infants suffering from asphyxia, and it is often related to acute kidney injury (AKI). Furthermore, renal function is routinely monitored to ensure safe dosing of medicine and to assess hydration status as well as observe renal effects of various pathologies. Therefore, early and accurate identifying deterioration of renal function induced by asphyxia would be beneficial for better preterm outcome.
So far, in clinical practice, the most commonly used endogenous glomerular filtration markers have still been serum creatinine (sCr) and blood urea nitrogen (BUN), especially in the developing countries like China. However, sCr and BUN concentrations are insensitive to moderate reductions in glomerular filtration rate (GFR). Moreover, sCr and BUN are also affected by extrarenal factors such as protein, muscle mass, and intake of nitrogen,, which is increased with the amount of milk formula and other parenteral nutrition preparations. Furthermore, sCr and BUN have a lot to do with age, gender, and body weight. More importantly, accurate evaluation of actual GFR remains difficult in the newborn period. Clinically, it can only be expressed by an approximate value – estimated GFR (eGFR).
Compared with the above classical biomarkers, neutrophil gelatinase-associated lipocalin (NGAL) has emerged as a promising indicator of kidney injury. It was demonstrated that oxidative stress, infection, ischemia, cytokines, intoxication, and other conditions leading to cellular necrosis, death, and apoptosis all could induce the upregulation of NGAL synthesis in kinds of tissues., Mishra et al. once evaluated NGAL as a sensitive biomarker for AKI. Seventy-one children underwent cardiothoracic surgery, which represents a typical model of renal ischemia-reperfusion. Moreover, NGAL was found 34 h earlier than sCr to detect AKI. Furthermore, in newborns, Song et al. found that area under the curve (AUC) of NGAL in the group of asphyxial renal damage was significantly higher than kidney injury molecule-1 (KIM-1) and cystatin C (Cys-C). Consequently, the diagnosis of renal injury in asphyxiated newborns using NGAL seems more efficiently compared with other indicators.
In previous researches related to NGAL, there have been few studies being studied and reported in asphyxiated newborns, especially in preterm infants., Moreover, in the above studies, the number of sample cases seems few. In view of this situation, we aimed to compare the values of NGAL with classical indicators (such as sCr, BUN, KIM-1, eGFR, and urine output) in asphyxiated infants (≤34 weeks) from two centers of China. Through this study, we hope to evaluate an efficient and accurate marker (NGAL) for identifying AKI in preterm infants.
| Materials and Methods|| |
This is a two-center retrospective study. This study was performed on consecutive infants, born in the First Affiliated Hospital of Nanjing Medical University or Children's Hospital of Nanjing Medical University, between October 2016 and October 2017. The above two centers are both the largest NICUs (Level III) with 150/200 neonatal intensive care beds in Jiangsu Province of Eastern China. Written informed consent was given by patients' parents, and the local ethics committee approved this study (NO. NJMU201610134).
Asphyxia group: After birth, preterm infants (≤34 weeks) comply with asphyxia standard (adopt standard made by the American Academy of Pediatrics and the American College of Obstetricians and Gynecologists) were all included in the group. The asphyxia standard includes (a) profound metabolic or mixed acidemia (pH <7.00) on an umbilical arterial blood sample, if obtained, (b) an Apgar score of 0–3 for longer than 5 min, (c) neurologic manifestation, and (d) evidence of multiorgan dysfunction. However, severe infection (such as necrotizing enterocolitis and sepsis), shock, congenital anomaly, hyperbilirubinemia, and inherited metabolic diseases were excluded from our study. At last, 71 preterm infants were enrolled in asphyxia group. Control group: 70 preterm infants (≤34 weeks) were randomly included in the group (by odd and even numbers to avoid selection bias) during the same period. These participants contained 22 cases of neonatal swallowing syndrome, 21 cases of neonatal intracranial hemorrhage (≤ Grade II), 19 cases of ABO hemolysis, and 8 cases of neonatal wet lung syndrome. Exclusion criteria are as follows: Perinatal asphyxia, severe infection (such as necrotizing enterocolitis and sepsis), shock, congenital anomaly, hyperbilirubinemia, and inherited metabolic disease.
Samples and medical history collection
Peripheral venous blood (2 ml) and urine (8 ml) samples were obtained at 24, 48, and 96 h after birth. Enzyme-linked immunosorbent assay (ELISA) (using Quantikine ELISA kit, United States) was used to detect NGAL (urine, ng/ml) and KIM-1 levels (urine, ng/ml). The eGFR was calculated by Schwartz equation (eGFR ml/[min*1.73 m2] = K*height[cm]/sCr[μmol/l]). Fully automatic chemistry analyzer was used to detect sCr (umol/l) and BUN (mmol/l) levels by AU 5800 (Beckman Coulter, United States). Urine output was collected and calculated by nurses from NICU, presented as ml/kg/h. Moreover, general clinical data (including birth weight, gender, gestational age, mode of delivery, mother's age, Apgar score, and blood gas at birth) were also collected and checked.
Statistical analysis was performed using SPSS 13.0 software. Quantitative data obeying normal distribution (by Kolmogorov–Smirnov test) were showed as mean ± standard deviation. Data between the two groups were compared by independent sample t-test, and data among three time points were compared using repeated measures ANOVA (pairwise comparison was performed with LSD test) through general linear model in SPSS software. For qualitative data, Pearson's Chi-squared test was performed. Draw ROC and compare the AUC, 95% confidence interval for AUC, specificity (Spe), sensitivity (Sen), and Youden index (Sen+Spe-1) at 24-h, 48-h and 96-h time points. Use Excel 2007 to draw line chart. P < 0.05 was considered statistically significant.
| Results|| |
Comparisons of baseline data between asphyxia group and control group
We performed comparisons of the baseline data between asphyxia group and control group. As for the demographic characteristics, there are no significant differences on mother's age, age on admission, birth weight, gender, gestational age, and delivery mode. However, blood gas, Apgar score, and resuscitation all showed statistical differences between the two groups (P < 0.05) [Table 1].
|Table 1: Comparisons of clinical data between asphyxia group and control group|
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Comparisons of biomarkers between asphyxia group and control group
In 24-h samples, only uNGAL and eGFR showed significant differences between asphyxia and control groups (P < 0.05). At 48-h stage, significant differences could be gradually found in uKIM-1, uNGAL, BUN, and eGFR between asphyxia and control groups (P < 0.05). In 96-h samples, almost all indicators have significant differences between asphyxia and control groups except urine output and eGFR [Table 2].
|Table 2: Comparisons of biomarkers between asphyxia group and control group (horizontal comparison) and comparisons of biomarkers among 24, 48, and 96 h in asphyxia group (vertical comparison)|
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Comparisons of biomarkers during 24, 48, and 96 h in asphyxia group
We performed repeated measures ANOVA analysis along with time (24, 48, and 96 h) in asphyxia group. It was found that all biomarkers showed statistical difference in the three time points (P < 0.05) [Table 2]. However, there are differences in the trend of changes in various indicators. Moreover, only uNGAL showed a downward trend after the increase of expression [Supplementary Material 1].
Analysis of biomarkers by receiver operating characteristic curve in 24-, 48-, and 96-h samples
Compared with other indicators, uNGAL has better Sen and Spe. At the time point of 24-h, AUC of uNGAL is 0.870, Sen is 0.895, Spe is 0.711, and Youden index is 0.606; at the time point of 48-h, AUC is 0.879, Sen is 0.842, Spe is 0.850, and Youden index 0.692; at the time point of 96-h, AUC is 0.806, Sen is 0.632, Spe is 0.974, and Youden index 0.606 [Table 3] and [Figure 1], [Figure 2], [Figure 3].
|Table 3: Data of indicators in 24-, 48-, and 96-h samples by receiver operating characteristic curve analysis|
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|Figure 1: Receiver operating characteristic analysis of indicators in 24-h sample between asphyxia group and control group|
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|Figure 2: Receiver operating characteristic analysis of indicators in 48-h sample between asphyxia group and control group|
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|Figure 3: Receiver operating characteristic analysis of indicators in 96-h sample between asphyxia group and control group|
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| Discussion|| |
Generally speaking, a low Apgar score is an important risk factor for impaired renal function in preterm infants., Including AKI, asphyxia could cause multiple organ damages. Liu et al. once performed a retrospective study and found that the incidence of renal damage was about 66% in asphyxiated newborns of China. Therefore, looking for sensitive indicator of renal damage becomes an urgent issue.
The traditional diagnosis of asphyxia-induced AKI depends on a biomarker of steady-state kidney function, muscle-derived sCr. However, neonatal period is often marked by a nonsteady-state condition, and even kidney injury itself represents an unstable pathological state. Hence, sCr becomes an insensitive, retrospective, and sometimes deceptive biomarker of renal damage.,,, BUN is widely applied for evaluating kidney function in routine clinical practice too. Unfortunately, similar to sCr, BUN is not a reliable and specific marker of AKI because different factors could affect the concentration. Sometimes, an increase in BUN concentration could be found under the condition of no tubular injury. Moreover, BUN rises with the increase of serum urea synthesis concomitantly as occurs with endogenous (such as bleeding in gastrointestinal tract) or exogenous (such as protein supplementation) protein increase.
In healthy people, circulating NGAL is filtered through the glomerulus and then captured by megalin within the proximal tubule, where it traffics to lysosomes and degrades to a 14-kDa fragment being not recycled., AKI could induce a rapid upregulation of NGAL mRNA within the thick ascending limb of Henle's loop and the collecting ducts. Then, the accumulation of NGAL in the distal nephron causes an increase in urine NGAL level. Zhang et al. once studied and concluded that NGAL is better than plasma Cr and has a satisfactory early predictive value for AKI. Moreover, NGAL has emerged as a high potential biomarker of renal damage because of its rapid response. NGAL could increase rapidly (within a few minutes) in both serum and urine after kidney tissue damage (up to 1000-fold).,, It is also demonstrated that massive quantities of NGAL are expressed and excreted by kidney epithelia just within 30 min into urine when stressed by nephrotoxins, infection, chronic progressive changes, and ischemia-reperfusion injury., Therefore, it has been widely evaluated for the early precise diagnosis, monitoring, and risk stratification of AKI in various clinical studies. These findings have been demonstrated in different studies in newborns, children, and adults.,
Although positive results have been reported in different researches, the usefulness of urinary NGAL as a useful biomarker of AKI in preterm infants still remains controversial to some extent. Gubhaju et al. found that neonates with pathological proteinuria did not show high urinary NGAL level. Between NGAL levels, they did not found associations at time points before or at the time of proteinuria onset, which seems to suggest that NGAL maybe not predictive of renal damage. Suchojad et al. also did not find increased NGAL values in infants with perinatal asphyxia. Contrary to the findings made by the above authors, Song et al. found that the AUC of NGAL was significantly higher than KIM-1 and Cys-C in the group of asphyxiant renal injury (NGAL susceptibility: 87.5%; Spe: 84.3%). Diagnosis of renal injury in asphyxiated newborns using NGAL seems more efficiently compared with other methods. From our study, we found that only NGAL and eGFR showed statistical differences between asphyxia group and control group in the first 24 h after birth. Moreover, urinary NGAL concentration is well correlated with other inflammatory markers, such as KIM-1 and BUN. Furthermore, uNGAL is the only indicator that reflects difference during full-time course of kidney injury (for 24 h–96 h after birth). The AUC and Youden index of NGAL were also markedly higher than other indicators during ROC analysis. This contradictory result may be explained by different test time points and different sample sizes among various researches. As for time points, it is concluded that the effect of perinatal asphyxia on the release of NGAL is declining with time. As found in our results, the level of NGAL rapidly increases and then gradually decreases after birth [Supplementary Material 1]. In fact, this sensitively reflects the change of asphyxia and the improvement of kidney function.
In the newborns, uNGAL could be detectable at birth and shows a wide range of variability in premature babies (0.51–2815.7 μg/L); the average of our measurements is 11.64 ± 5.48 ng/ml. This difference is possible because NGAL plays an important role in proliferating nephrons of the kidney in premature infants. Different birth weights and gestational ages all have different degrees of impact on the results. Certainly, consistent with previous reports, a significant inverse correlation was found between gestational age and urinary NGAL (data not showed). These findings may be relevant to the immature kidney and the clinical instability of the younger neonates.
| Conclusion|| |
uNGAL has a better distinguishability in asphyxiated neonates compared with other indicators. Moreover, it showed a rapid decline following the restoration of glomerular function. Of course, further studies with large samples are required to assess whether uNGAL could replace sCr and BUN.
We sincerely appreciate the patients' parents for their understanding and support of our study. The local ethics committee approved the study (NO. NJMU201610134).
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
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[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 3]