Cancer Therapy Vol 3, 477-488, 2005
Novel biomarkers for the early prediction of acute kidney
injury
Prasad Devarajan
Nephrology and Hypertension, Cincinnati ChildrenŐs
Hospital Medical Center, University of Cincinnati, Cincinnati, OH
__________________________________________________________________________________
*Correspondence: Dr. Prasad Devarajan, Nephrology & Hypertension, MLC 7022,
Cincinnati ChildrenŐs Hospital Medical Center, 3333 Burnet Avenue, Cincinnati,
OH 45229-3039. Phone: (513) 636-4531. FAX: (513) 984-9770. E-mail:
prasad.devarajan@cchmc.org
Key words: Acute
renal failure, nephrotoxicity, biomarkers, proteomics, microarray
Abbreviations:
Acute renal failure (ARF); glomerular filtration rate (GFR); Acute tubular
necrosis (ATN); acute kidney injury (AKI); neutrophil gelatinase-associated
lipocalin (NGAL); cardiopulmonary bypass (CPB); kidney injury molecule-1
(KIM-1); sodium hydrogen exchanger isoform 3 (NHE3); Surface-Enhanced Laser
Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS)
Contributed by Prasad Devarajan
Summary
Acute renal
failure (ARF) remains a common problem in hospitalized patients with cancer.
Despite technical advances in supportive care, the associated mortality and
morbidity have remained unacceptably high. Although pre-clinical studies in
animals have identified successful therapeutic interventions, translational
clinical trials in humans have yielded disappointing results. The reasons for
this are the lack of a consensus operational definition for acute renal
failure, and the paucity of predictive early biomarkers. In this review, we
first propose a consensus definition for acute kidney injury that encompasses
the entire spectrum of ARF, from sub-clinical injury to minimal elevation in
serum creatinine to anuric renal failure. The clinical significance of ARF,
especially in the setting of cancer, is reviewed, to illustrate the urgent need
for identifying novel methods for the early diagnosis of acute kidney injury.
The impact of modern enabling technologies such as microarrays and proteomics
on the biomarker discovery process is outlined, followed by an update on
emerging biomarkers. Specifically, the utility of NGAL as a novel, sensitive,
specific, highly predictive early biomarkers for human AKI is examined, and the
role of urinary proteomic biomarker patterns for the early diagnosis of AKI is
explored.
I. Introduction
Acute renal failure (ARF) remains a common and vexing
problem in hospitalized patients with cancer. Despite technical advances in
supportive care, the associated mortality and morbidity have remained
unacceptably high, and have not changed appreciably in the last four decades. Although
basic research and pre-clinical studies in animals have identified successful
therapeutic interventions, translational clinical trials in humans have yielded
disappointing results. One reason for this is the lack of a consensus
operational definition for acute renal failure. This has resulted in
non-uniformity in the criteria for initiating therapies, and confusion in the
interpretation and comparison of existing trials. A second reason is the
paucity of predictive early biomarkers. This has hindered our ability to
institute potentially effective preventive and therapeutic measures in a timely
manner. In this review, we will first propose a consensus definition for acute
kidney injury that encompasses the entire spectrum of ARF, and illustrate the urgent
need for identifying novel biomarkers for the early prediction of acute renal
injury. The impact of modern enabling technologies such as microarrays and
proteomics on the biomarker discovery process will then be outlined, followed
by an update on emerging biomarkers.
II. A consensus definition for acute kidney injury
Acute renal failure (ARF) has traditionally been
defined as an abrupt reduction in glomerular filtration rate (GFR), leading to
accumulation of waste products such as BUN and creatinine. A major quandary
with this definition is the primary reliance on serum creatinine measurements
for the diagnosis. Over 30 different definitions have been used in the clinical
literature, ranging widely from minimal changes in serum creatinine (0.3 mg/dl
or 20% increase above baseline) to severe ARF requiring dialysis (Mehta and
Chertow, 2003; Bellomo et al, 2004). This lack of consensus definition,
combined with the inherent shortcomings of serum creatinine measurements in ARF
(see below), have seriously jeopardized the interpretation and comparison of
existing clinical trials.
Acute tubular necrosis (ATN) is the most common
manifestation of ischemic or nephrotoxic ARF, and the two terms have frequently
been used synonymously. However, ATN remains a pathologic diagnosis, and cannot
be easily quantified since biopsy specimens are seldom obtained in patients
with ARF. Furthermore, ATN is a misnomer, because frank necrosis is rarely
encountered in human ARF (Devarajan, 2005). Thus, the use of the term ATN is unsuitable
for translational studies.
The term acute kidney injury (AKI) has recently been proposed by the American Society of Nephrology Steering Committee on Acute Renal Failure. This definition denotes a complex disorder comprising multiple etiological factors with varied clinical manifestations ranging from sub-clinical injury to minimal elevation in serum creatinine to anuric renal failure. AKI represents a paradigm shift that incorporates the entire spectrum of ARF, and appropriately encompasses even minimal degrees of injury. However, the inability to identify sub-clinical and early AKI prior to rise in serum creatinine continues to represent an unresolved challenge. The designations ARF and AKI are used interchangeably in this review.
III. Clinical significance of acute kidney injury
ARF due to ischemic and
nephrotoxic injuries continues to represent a very significant and potentially
devastating problem in clinical medicine (Bonventre and Weinberg, 2003;
Molitoris, 2003; Rabb, 2003; Siegel and Shah, 2003; Star, 1998;
Herget-Rosenthal et al, 2004; Hewitt et al, 2004; Schrier, 2004; Schrier et al,
2004; Lameire et al, 2005b). The incidence of ARF varies from 5% of all
hospitalized patients to 30-50% of patients in intensive care units, and there
is now substantial evidence that this incidence is rising. Despite significant
technical improvements in dialytic therapy, the mortality and morbidity
associated with ARF remain dismally high and have not appreciably improved
during the last four decades. The mortality rate among dialyzed patients in
intensive care units exceeds 80%. Even among survivors, long term consequences
are frequent, with about 50% of patients being inflicted with chronic renal
insufficiency and about 15% progressing inexorably to end stage renal disease
within 3 years of an ARF episode.
ARF is a particularly
frequent complication in cancer patients, and a major source of mortality and
morbidity (Lameire et al, 2005a). ARF in patients with malignancies not only
limits our ability to deliver effective therapy, but has also emerged as a
major risk factor for the development of non-renal complications. The
mechanisms of ARF in cancer are similar to those encountered in other critical
illnesses. In addition, ARF can represent a primary complication of the
malignancy itself (such as obstruction and infiltration), or more commonly a
complication of cancer therapy (such as nephrotoxicity and sepsis). Major
etiologies of ARF in cancer patients are listed in Table 1, but it should be emphasized that ARF in this patient
population is usually multi-factorial in origin.
Nephrotoxic AKI, by
itself or in combination with other mechanisms, represents one of the most
frequently encountered causes of ARF in malignancy. Nephrotoxicity can result
from a number of agents as listed in Table
2. major culprit is cisplatin, one of the most widely used and effective
chemotherapeutic agents for the treatment of several human malignancies (Arany
and Safirstein, 2003; Hanigan and Devarajan, 2003).
Table 1. ARF in cancer patients
|
PRERENAL
CAUSES |
|
Vomiting, diarrhea,
dehydration |
|
Sepsis |
|
Hypotension |
|
Bleeding |
|
Congestive heart failure |
|
Hepatorenal syndrome |
|
RENAL
CAUSES |
|
Prolonged prerenal factors |
|
Nephrotoxic injury |
|
Ischemic injury |
|
Tumor lysis syndrome |
|
Hemolytic uremic syndrome |
|
Thrombotic thrombocytopenic
purpura |
|
Hypercalcemia |
|
Myeloma kidney |
|
Lymphomatous infiltration |
|
POSTRENAL
CAUSES |
|
Bladder outlet obstruction |
|
Bilateral upper tract
obstruction |
Table 2. Nephrotoxic ARF in cancer patients
|
ANTIBACTERIALS |
|
Aminoglycosides |
|
Vancomycin |
|
Polymyxins |
|
ANTIFUNGALS |
|
Amphotericin |
|
ANTIVIRALS |
|
Foscarnet |
|
Cidofovir |
|
Acyclovir |
|
ANTINEOPLASTICS |
|
Cisplatin |
|
Carboplatin |
|
Nitrosoureas |
|
Methotrexate |
|
Cytosine arabinoside |
|
5-Fluorouracil |
|
Mitomycin C |
|
Ifosfamide |
anti-neoplastic efficacy.
Nephrotoxicity following cisplatin treatment may manifest after a single dose
with ARF or may present with a chronic syndrome of renal electrolyte wasting.
Despite various hydration protocols A The efficacy of cisplatin is
dose-dependent, but the significant risk of nephrotoxicity frequently hinders
the use of higher doses to maximize its designed to minimize the
nephrotoxicity, approximately one-third of patients who receive cisplatin
develop evidence for ARF. This can have major consequences in terms of
mortality and morbidity, especially in the presence of other co-morbid
conditions related to the primary malignancy or its treatment.
Bone marrow transplantation is being increasingly used
for the treatment of malignancies and non-malignant conditions, and ARF is a
frequent complication (Hahn et al, 2003; Patzer et al, 2003). The incidence of
severe ARF varies from 10-25%, but occurs to a milder degree in over 90% of
hematopoietic cell transplants (Letourneau et al, 2002; Parikh et al, 2002;
Schrier, 2002). ARF in this population most commonly occurs during the period
of post-transplant neutropenia, and is frequently due to a combination of
nephrotoxins, sepsis and other factors. Several contributory etiologies have
been identified, and may be classified according to the timing of the ARF in
relation to the bone marrow transplant, as shown in Table 3. ARF requiring
dialysis after bone marrow transplantation is associated with a very poor
prognosis and a mortality rate of greater than 90% (Letourneau et al, 2002;
Parikh et al, 2002; Schrier, 2002).
IV. Urgent need for biomarkers of acute kidney injury
Outstanding advances in basic research have
illuminated the pathogenesis of AKI and have paved the way for successful
therapeutic approaches in animal models of ischemic and nephrotoxic injuries.
However, translational research efforts in humans have yielded disappointing
results. A major reason for this is the lack of early markers for AKI, akin to
troponins in acute myocardial disease, and hence an unacceptable delay in
initiating therapy (Bonventre and Weinberg, 2003; Molitoris, 2003; Rabb, 2003;
Siegel and Shah, 2003; Star, 1998; Herget-Rosenthal et al, 2004; Hewitt et al,
2004;
Table 3. ARF following bone
marrow transplantation
|
FIRST
10 DAYS |
|
Tumor lysis syndrome |
|
Hemoglobinuria from
infusate |
|
Sepsis |
|
FROM
10-21 DAYS |
|
Veno-occlusive disease |
|
Hepatorenal syndrome |
|
Sepsis |
|
AFTER
21 DAYS |
|
Cyclosporine |
|
Amphotericin |
|
Hemolytic uremic syndrome |
|
Irradiation |
Schrier, 2004; Schrier et al, 2004;
Lameire et al, 2005b). In current clinical practice, ARF is typically diagnosed
by measuring serum creatinine. Unfortunately, creatinine is an unreliable and
delayed indicator during acute changes in kidney function (Bellomo et al,
2004). First, serum creatinine levels vary widely with age, gender, diet,
muscle mass, medications, and hydration status. Second, serum creatinine levels
are insensitive to the small changes in GFR that are characteristic of early
reversible forms of AKI. Serum creatinine concentrations may not change until
about 50% of kidney function has already been lost. Third, serum creatinine
does not accurately depict kidney function until a steady state has been
reached. Changes in serum creatinine may lag behind alterations in GFR by
several days, during decline as well as recovery of renal function. However,
animal studies have shown that while AKI can be prevented and/or treated by
several maneuvers, these must be instituted very early after the insult, in the
initiation phase of the injury. The lack of early biomarkers for AKI in humans
has hitherto crippled our ability to launch potentially effective therapies in
a timely manner. Indeed, several human investigations have now established that
the earlier the intervention, the better the chance of ameliorating the renal
dysfunction (Schrier, 2004). Conversely, the longer the duration of ARF, the
greater is the mortality rate (Schrier, 2004). Thus, there clearly exists an
urgent need to identify novel methods for the early diagnosis of human AKI.
V. Genomic approaches to acute kidney injury
Attempts at unraveling
the molecular basis of complex biologic processes such as AKI have been
markedly facilitated by recent advances in functional genomics that have
yielded new tools for genome-wide analysis (Schena et al, 1995; Eisen et al,
1998; Golub et al, 1999; Lockhart and Winzeler, 2000; King and Sinha, 2001;
Kurella et al, 2001; Yoshida et al, 2002a, b; Supavekin et al, 2003). The cDNA
microarray methodologies provide parallel and quantitative expression profiles
of thousands of genes, which when combined with stringent bioinformatic tools
can identify genes in a biologic pathway, characterize the function of novel
genes, and detect disease subclasses. We have utilized the cDNA microarray
technology and extensive statistical analysis to define global changes in renal
gene expression during the early reperfusion periods following ischemic injury
in an established mouse model (Supavekin et al, 2003). We have screened for
changes in expression of 9000 sequence-verified mouse genes at various early
points (3, 12, and 24 hours) following ischemic AKI. We chose to examine the
immediate and early responses because the protein products of these genes may
represent early biomarkers that have hitherto eluded discovery. We identified
several transcripts that were known to be over-expressed or repressed following
ischemic injury, thereby validating this technique (Supavekin et al, 2003).
Surprisingly, several of the transcripts that were
maximally induced after ischemic AKI were novel to the field. We have focused
primarily on a subset of seven genes whose expression is upregulated more than
10 fold within the first few hours following ischemic renal injury in the mouse
model. One of these transcripts, cysteine rich protein 61, has recently been
confirmed to be markedly upregulated following renal ischemia in animal models,
and may represent a novel biomarker for AKI (Muramatsu et al, 2002). In recent
studies (Devarajan et al, 2003; Mishra et al, 2003; Mishra et al, 2004a, b, 2005;
Mori et al, 2005), we have further characterized one of these previously
unrecognized genes, namely neutrophil gelatinase-associated lipocalin (NGAL).
We confirmed the marked upregulation of NGAL mRNA by semi-quantitative RT-PCR
and protein levels by Western analysis in the early post-ischemic mouse kidney
(both greater than 10-fold). NGAL protein expression was detected predominantly
in PCNA-positive proximal tubule cells that were undergoing proliferation and
regeneration. These findings strongly implicate a role for this maximally
induced gene and protein in the repair process following AKI.
Other recent studies have also suggested that NGAL
enhances the epithelial phenotype. During nephrogenesis, NGAL is expressed by
the penetrating ureteric bud, and triggers nephrogenesis by stimulating the
conversion of mesenchymal cells into kidney epithelia (Yang et al, 2002). These
findings are especially pertinent to the mature kidney, in which one of the
well-documented responses to AKI is the remarkable appearance of
de-differentiated epithelial cells lining the proximal tubules (Witzgall et al,
1994). An important aspect of renal regeneration and repair after injury
involves the reacquisition of the epithelial phenotype, a process that
recapitulates several aspects of normal development (Hammerman, 2000). This
suggests that NGAL may be expressed by the damaged tubule in order to induce
re-epithelialization. Support for this notion derives from the recent
identification of NGAL as a regulator of epithelial morphogenesis in cultured
kidney tubule cells (Gwira et al, 2005), and as an iron transporting protein
that is complementary to transferrin during nephrogenesis (Yang et al, 2002).
It is well known that the delivery of iron into cells is crucial for cell growth
and development, and this is presumably critical to post-ischemic renal
regeneration just as it is during ontogeny. Since NGAL appears to bind and
transport iron, it is also likely that NGAL may serve as a sink for iron that
is shed from damaged proximal tubule epithelial cells. Because NGAL can be
endocytosed by the proximal tubule, the protein could potentially recycle iron
into viable cells. This might stimulate growth and development, as well as
remove iron, a reactive molecule, from the site of tissue injury, thereby
limiting iron-mediated cytotoxicity. Indeed, our recent findings indicate that
exogenously administered NGAL ameliorates AKI in animal models by tilting the
balance of tubule cell fate towards proliferation and survival (Mishra et al, 2004b;
Mori et al, 2005). Importantly, we have also found that NGAL is easily detected
in the urine very early following AKI in both animal and human models of ARF
(Muramatsu et al, 2002). In recent studies (Devarajan et al, 2003; Mishra et
al, 2003; Mishra et al, 2004a, b; Mishra et al, 2005; Mori et al, 2005). These
results are detailed in the next section. Thus, NGAL has rapidly emerged from
the discovery phase using cDNA microarrays, to potentially occupying
center-stage in the AKI field, not only as a novel biomarker but also as an
innovative therapy.
It is important to recognize that
one of the limitations to using genomic approaches is the fact that alterations
in gene expression are not always predictive of downstream functional and/or
pathophysiologic pathways. Although this method can suggest activation of
biologic pathways at the mRNA level, additional post-transcriptional and/or
post-translational events may be required to fully implicate the identified
factors. Thus, the cDNA microarray results provide a stepping stone, and in the
case of AKI it will be important in future studies to fully characterize the
biology of genes with altered expression profiles in order to better understand
their role.
VI. NGAL: a novel biomarker of acute kidney injury
In follow up studies to our initial biomarker
discovery experiments by gene expression profiling, we found NGAL protein to be
markedly induced in kidney tubule cells after both ischemic (Mishra et al,
2003) and nephrotoxic (Mishra et al, 2004a) AKI in animal models. NGAL protein
in these tubule cells occupied a punctate cytoplasmic distribution that
partially co-localized with endosomal markers, suggestive of a secreted and/or
endocytosed protein (Figure 1).
Since NGAL is known to represent a small secreted polypeptide that is protease
resistant, we tested the hypothesis that it may be excreted in the urine.
Indeed, we have found by Western blotting that NGAL is easily detected in the
urine very early following ischemic kidney injury in both mouse and rat models
of AKI after ischemia (Devarajan et al, 2003; Mishra et al, 2003) and cisplatin
nephrotoxicity (Mishra et al, 2004a).

Figure 1. Mice treated with
intraperitoneal cisplatin (20 mg/kg) show a rapid induction (within 3 hours) of
NGAL protein in tubule cells by immunohistochemistry, in a punctate cytoplasmic
distribution. NGAL staining is virtually undetectable in untreated animals (not
shown). Magnification is 100X.
The
appearance of NGAL in the urine is closely related to the dose and duration of
renal ischemia, and precedes by far the appearance of other known urinary
markers such as NAG and b2-microglobulin. Our
results indicate that NGAL represents an early, sensitive, non-invasive urinary
biomarker for ischemic renal injury that compares very favorably with other
biomarkers that have been described in animal studies. One of the best-studied
examples is KIM-1, a putative adhesion molecule involved in renal regeneration
that was also first detected as a result of genomic analysis (Ichimura et al,
1998; Bailly et al, 2002). In a rat model of ischemia-reperfusion injury, KIM-1
was found to be up-regulated 24-48 hours after the initial insult, rendering it
a reliable but somewhat late marker of tubular cell damage. In another recent
example, Cyr61 was found to be a
secreted cysteine-rich protein that is detectable in the urine 3-6 hours after
ischemic renal injury in rats (Muramatsu et al, 2002). However, this detection
required a bioaffinity purification step with heparin-sepharose beads, and even
after such purification several cross-reacting peptides were apparent. In
contrast, our studies demonstrate that NGAL was easily and rapidly detected as
a clean immunoreactive peptide in Western blots in the very first unprocessed
urine output following AKI due to both ischemia and nephrotoxicity. In
addition, urinary NGAL was evident even after very mild Ňsub-clinicalÓ renal
ischemia, in spite of normal serum creatinine levels.
These findings prompted
us to test the hypothesis that NGAL represents a novel early biomarker of
ischemic renal injury in a representative human population, namely patients
undergoing CPB. It is well known that over 700,000 CPB procedures are performed
each year in the US alone. AKI occurs in 10-40% of patients after CPB, with
1-5% requiring dialysis in whom the mortality rate approaches 80% (Chertow et
al, 1997; Fortescue et al, 2000; Tuttle et al, 2003). A variety of clinical
algorithms have been proposed for prediction of dialysis-requiring ARF based on
pre-operative risk factors (Chertow et al, 1997; Fortescue et al, 2000; Eriksen
et al, 2003; Tuttle et al, 2003; Thakar et al, 2005), but no tools were
available for the early diagnosis of lesser degrees of renal injury. We
therefore prospectively studied children undergoing CPB. Exclusion criteria
included pre-existing renal insufficiency, diabetes mellitus, peripheral
vascular disease, and the use of nephrotoxic agents before or during the study
period. Thus, we recruited a homogeneous population of patients with no
confounding variables in whom the only conceivable renal insult would most
likely be the result of ischemia-reperfusion injury following CPB. Serial urine
and blood samples were analyzed by Western blots and a newly designed ELISA for
NGAL expression. The primary outcome variable was AKI, defined as a 50% or
greater increase in serum creatinine from baseline. Twenty eight percent of
patients in our study cohort developed acute renal injury, but the diagnosis
using serum creatinine was possible only 2-3 days after CPB. In contrast, urine
NGAL in these patients rose more than 10-fold at 2 hours after CPB, as shown in
Figure 2. Serum NGAL similarly
increased 6-fold at 2

Figure 2. Panel shows urine NGAL (in
ng/ml) at various times after CPB in patients who subsequently developed ARF
(blue) versus those who did not (red), determined by ELISA. The green bar
represents the time when the initial rise in serum creatinine was detected. At
all post CPB time points examined, urine NGAL was significantly greater in
subjects who developed ARF, as defined by a 50% increase in serum creatinine
over baseline. Adapted from reference 38.
hours after CPB (Mishra et al,
2005). These results were similar when analyzed by either Western blotting or
by ELISA. Univariate analysis showed a significant correlation between acute
renal injury and the following: 2 hour urine NGAL, 2 hour serum NGAL, and CPB
time. By multivariate analysis, the urine NGAL at 2 hours post CPB emerged as
the most powerful independent predictor of acute renal injury. A ROC curve for
the 2 hour urine NGAL revealed an area under the curve of 0.998, and a
sensitivity of 1.00 and specificity of 0.98 for a cutoff value of 50 ng/ml. For
the 2 hour serum NGAL, the area under the curve was 0.91, the sensitivity 0.95
and the specificity 1.00 for a cutoff value of 50 ng/ml.
Our NGAL results compare
favorably with or surpass those obtained for several other biomarkers for human
AKI (Rabb, 2003; Herget-Rosenthal et al, 2004; Hewitt et al, 2004). The
majority of human studies reported thus far have been retrospective, have
examined biomarkers in the established phase of ARF, and have been restricted
to only the urine and to only one method of detection. Several tubular proteins
have been measured in the urine, with conflicting and unsatisfactory results
(Han et al, 2002; Westhuyzen et al, 2003; Herget-Rosenthal et al, 2004). KIM-1
is detectable by ELISA in the urine of patients with established acute tubular
necrosis (Han et al, 2002). Also, the sodium hydrogen exchanger isoform 3
(NHE3) has been shown by Western blots to be increased in the membrane
fractions of urine from subjects with established ARF (du Cheyron et al, 2003).
However, the sensitivity and specificity of these biomarkers for the detection
of renal injury have not been reported. Of the inflammatory cytokines involved
in ARF, elevated levels of urinary IL-6, IL-8 and IL-18 have been demonstrated
in patients with delayed graft function following cadaveric kidney transplants
(Kwon et al, 2003; Parikh et al, 2003). With the exception of NGAL, none of the
biomarkers have been examined prospectively for appearance in the urine during
the evolution of ischemic ARF. A recent prospective study has demonstrated that
an increase in serum cystatin C precedes the increase in serum creatinine in a
select patient population at high risk to develop ARF (Herget-Rosenthal et al,
2004). However, the ARF in these subjects was multifactorial, due to a
combination of ischemic, prerenal, nephrotoxic, and septic etiologies.
Furthermore, since cystatin C is primarily a marker of GFR, it can be inferred
that serum cystatin C levels will rise only after the GFR begins to fall. On
the other hand, NGAL is rapidly induced in the kidney tubule cells in response
to ischemic injury, and its early appearance in the urine and serum is
independent of the GFR, but is highly predictive of a fall in GFR that may
occur several days later.
We conclude that urine
and serum NGAL represent novel, sensitive, specific, highly predictive early
biomarkers for AKI following CPB (Mishra et al, 2005). A limitation to this
study is that it represents a single center analysis involving children with
congenital heart disease, with predominantly ischemic kidney injury. While this
cohort was intentionally chosen to eliminate common confounding variables and
co-morbid conditions, it is acknowledged that ARF is frequently multifactorial,
and our results will need to be validated in a larger population in whom
additional mechanisms of renal injury may be invoked. Examination of urine and
serum NGAL in other human conditions that predispose to AKI (including
cisplatin nephrotoxicity, kidney and bone marrow transplantation, contrast
nephropathy, and sepsis) is currently in progress.
VII. Proteomic approaches to acute kidney injury
Proteomics may be defined
as the systematic analysis of proteins for their identity, quantity, and
function (Peng and Gygi, 2001). This is a rapidly expanding field that offers
several distinct advantages over microarray analysis, since it provides the
technology to (a) simultaneously analyze all proteins, the primary mediators of
function, within a cell or tissue of interest, (b) examine body fluids such as
urine which are generally devoid of functional nucleic acids, and (c) account
for post-transcriptional regulatory mechanisms that modulate protein structure
and function. Recent advances in the field of clinical proteomics have greatly
accelerated the discovery of novel protein biomarkers for renal diseases
(Knepper, 2002; Clarke et al, 2003; Cutillas et al, 2004; Han and Bonventre,
2004; Hewitt et al, 2004; Klein and Thongboonkerd, 2004; Schaub et al, 2004a,
b; Thongboonkerd, 2004; Thongboonkerd et al, 2004a, b). Of the various methods
available, Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass
Spectrometry (SELDI-TOF-MS) technology has emerged as the preferred platform
for urinary protein profiling (Clarke et al, 2003; Schaub et al, 2004a, b).
This approach allows for rapid high throughput profiling of multiple urine
samples, detects low molecular weight biomarkers that are typically missed by
other platforms, and even uncovers proteins bound to albumin.
We have tested the hypothesis that urinary proteomic analysis may identify novel early biomarker patterns for AKI in a representative human population, namely CPB. Urine samples were obtained at baseline and at 2 hours post CPB, and analyzed by SELDI-TOF-MS. The primary outcome variable was ARF, defined as a 50% or greater increase in serum creatinine. We have now completed a preliminary analysis of 30 patients (15 with ARF and 15 age-matched controls without ARF). SELDI-TOF-MS analysis of urine from the ARF group at baseline versus at 2 hours post-CPB consistently showed a marked and statistically significant enhancement of protein biomarkers with m/z of 6.4, 28.5, 33, 43 and 66 kDa, as shown in Figures 3, 4, and 5. The same biomarkers were also enhanced when comparing control versus ARF groups at 2 hours post-CPB. The specific identity of these biomarkers is currently unknown. However, it is likely that the 28 kDa biomarker species revealed in the present study may represent NGAL, since Western blot analysis of the same urine samples with a monoclonal antibody to NGAL identified an abundant immunoreactive peptide at the 28 kDa range (not shown). Our preliminary results indicate that SELDI-TOF-MS is a novel, non-invasive, sensitive, reproducible, highly predictive, rapid (with a turnaround

Figure 3.
Representative SELDI-TOF-MS spectra of urine obtained at baseline and 2 hours
post-CPB from patients in the Control or ARF group. Figure shows proteins in
the 5500-7500 kDa range. Marked enhancement of a 6.4 kDa species is noted in
the ARF group at 2 hours post-CPB.
Figure 4.
Representative SELDI-TOF-MS spectra of urine obtained at baseline and 2 hours
post-CPB from patients in the Control or ARF group. Figure shows proteins in
the 20,000-70,000 kDa range. Marked enhancement of 28.5, 33, 43, and 66 kDa
species is noted in the ARF group at 2 hours post-CPB.

Figure 5. Overlay of representative SELDI-TOF-MS spectra of urine obtained at baseline and 2 hours post-CPB from patients in the ARF group. Marked enhancement of 28.5, 33, 43, and 66 kDa species is noted in the ARF group at 2 hours post-CPB, as highlighted by the arrows. The specific identity of these biomarkers is currently unknown. However, it is likely that the 28 kDa species may represent NGAL.
time
of only 90 minutes), and non-invasive (requiring only microliter quantities of
urine) method for the prediction of acute renal injury following CPB. These
results will need to be validated in a larger population of susceptible
patients. It will also be important in future studies to confirm the identity
of the biomarkers for AKI uncovered by this study, and to determine their
individual and collective robustness for the prediction of AKI.
VIII. Other emerging biomarkers of acute kidney injury
The quest for easily measured and reliable biomarkers
of AKI is and has been an area of intense research interest. Many urinary
proteins have been evaluated in the past as noninvasive indicators of human AKI
(Han and Bonventre, 2004). Traditional urinary biomarkers include low molecular
weight proteins such as retinol binding protein and b2-microglobulin, brush border proteins such as
carbonic anhydrase, and a variety of urinary enzymes, as shown in Table 4 (Taniguchi et al, 1979; Stonard
et al, 1987; Tolkoff-Rubin et al, 1988; Olbricht et al, 1994; Nortier et al,
1997; Donadio et al, 1998; Bazzi et al, 2001). In general, these markers lack
specificity, reproducibility, validation, and standardized assays (Wedeen et
al, 1999). The utility of these biomarkers in human AKI is currently limited,
although they are still commonly employed in pre-clinical studies.
Fortunately, modern enabling technologies for
screening the genome and proteome have yielded promising new urinary biomarkers
for human AKI (Table 5). In general,
an ideal biomarker for AKI should be non-invasive, accurate, reproducible,
measured using standardized assays, and adaptable to point-of-care testing. The
potential for NGAL to satisfy all these requirements has already been alluded
to. The current status of other emerging biomarkers is reviewed below.
Kidney Injury Molecule-1 (KIM-1) is an adhesion
molecule that is up-regulated in tubule cells in humans and rodents after
ischemic or nephrotoxic injury (Ichimura et al, 1998; Bailly et al, 2002). In a
small human study, a soluble form of the cleaved protein has been detected in
the urine about 12 hours after an ischemic insult (Han et al, 2002). Attractive
aspects of KIM-1 as a biomarker include the fact that its expression is
specific to the kidney, and that it can be measured in a standardized fashion
using ELISA. However, prospective human studies, with better definition of
temporal sequence of appearance, sensitivities, specificities, and predictive
values are lacking.
The NHE3, the most abundant apical membrane sodium
transporter, has been detected in the membrane fractions of urine from patients
with ATN and post-renal ARF (du Cheyron et al, 2003). However, this detection
requires isolation of membrane fractions followed by Western blotting, which
are cumbersome and not easy to quantify. Additional studies with assay
standardization, validation, time course and biomarker statistics are required.
Pro-inflammatory cytokines such as IL-6 (Kwon et al,
2003), IL-8 (Kwon et al, 2003) and IL-18 (Parikh et al,
Table 4. Traditional urinary biomarkers for AKI
|
LOW
MOLECULAR WEIGHT PROTEINS |
|
Retinol binding protein
(67) |
|
b2-microglobulin (67) |
|
a1-microglobulin (68) |
|
TUBULE
BRUSH BORDER PROTEINS |
|
Adenosine deaminase binding
protein (67) |
|
Carbonic anhydrase (69) |
|
URINARY
ENZYMES |
|
N-acetyl-b-D-glucosamine (67) |
|
Alanine aminopeptidase (67) |
|
Neutral endopeptidase (70) |
|
g-glutamyltransferase
(71) |
|
Alkaline phosphatase (72) |
|
Lactate dehydrogenase (72) |
|
b-glucosidase (72) |
|
Cathepsin B (73) |
Table 5. Emerging urinary biomarkers for AKI
|
BIOMARKERTYPE
OF INJURY ASSAY REF |
|
NGALIschemic,
NephrotoxicELISA33-38 |
|
KIM-1Ischemic,
NephrotoxicELISA52 |
|
NHE3Ischemic,
Post-renalWestern53 |
|
IL-6, IL-8Delayed graft
functionELISA54 |
|
ActinDelayed graft
functionWestern54 |
|
IL-18Delayed graft
functionELISA55 |
|
a-GSTProximal tubule
injuryELISA75 |
|
p-GSTDistal tubule
injuryELISA75 |
|
Cystatin CAcute tubular
necrosisNephelometry51, 76 |
|
Cyr61Ischemic (animals)Western32 |
2003)
have been shown to be up-regulated within 24 hours following kidney
transplantation in the urine of patients who subsequently developed delayed
graft function (Kwon et al, 2003; Parikh et al, 2003). Actin is an abundant
component of tubule epithelial cells, and its urinary excretion follows a
similar pattern in delayed graft function (Kwon et al, 2003). The commercial
availability of standardized ELISA assays for the cytokines render them
attractive AKI biomarker candidates. Additional studies are needed to validate
their utility in various forms of AKI, and to further define the timing of
their appearance in the urine. However, urinary actin measurement is currently
dependent on Western blotting methods that are inherently difficult to quantify
and standardize.
Glutathione S-transferases are cytosolic proteins that
are released from proximal (a-GST)
or distal (p-GST) tubule cells following AKI. In one human study
of kidney transplant patients with dysfunction, urinary levels of p-GST were elevated in acute rejection, concentrations
of a-GST were increased in nephrotoxic injury secondary to
cyclosporine, and both isoforms were increased in ATN (Sundberg et al, 1994).
However, in a more recent study of patients with ATN from various etiologies,
urinary excretion of a-GST was not found to be
predictive of an unfavorable outcome (Herget-Rosenthal et al, 2004). Additional
studies are required to examine the utility of urinary GST measurements in
various forms of AKI.
Serum cystatin C has recently emerged as an encouraging marker of GFR in ATN that precedes a rise in serum creatinine (Herget-Rosenthal et al, 2004), but the utility of urinary cystatin C is less clear. The ratio of urinary cystatin C to urinary creatinine was shown to be a sensitive measure of decreased GFR in patients with diverse chronic renal diseases (Hellerstein et al, 2004), but prospective measurements in AKI are lacking.
IX. Summary and future directions
In this review, we have
redefined ARF as AKI to encompass sub-clinical injury and the initiation phase
of ARF, which represents the window of opportunity for potentially effective
preventive and therapeutic interventions. We have recognized the urgent need
for early diagnosis of AKI prior to the rise in serum creatinine. We have
reviewed the current status of promising early urinary biomarkers for AKI. It
will be important in future studies to evaluate multiple potential AKI
biomarkers in prospective studies of susceptible individuals. It is likely that
not any one biomarker but a collection of strategically selected proteins may
provide the hitherto elusive ŇARF PanelÓ for the early and rapid diagnosis of
acute renal injury. The most promising biomarkers will need to be
cross-validated within a network of laboratories. We will need to partner with
industry to design point-of-care kits and platforms that will enable the early
diagnosis of AKI by the bedside. Such tools would be indispensable for the
timely institution of potentially effective therapies in human ARF, a common clinical
condition still associated with a dismal prognosis where early intervention is
desperately needed.
Acknowledgements
Dr. Devarajan is supported by grants from the
NIH/NIDDK (RO1-DK53289, P50-DK52612, R21-DK070163), a Grant-in-Aid from the
American Heart Association Ohio Valley Affiliate, and a Translational Research
Initiative Grant from Cincinnati ChildrenŐs Hospital Medical Center.
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Dr.
Prasad Devarajan