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São Paulo Medical Journal logoLink to São Paulo Medical Journal
. 2016 Oct 13;135(1):57–65. doi: 10.1590/1516-3180.2016.0099220516

Validity of Klotho, CYR61 and YKL-40 as ideal predictive biomarkers for acute kidney injury: review study

Validade de Klotho, CYR61 e YKL-40 como biomarcadores preditivos ideais para lesão renal aguda: estudo de revisão

Osama Mosa I,, Milan Skitek II, Ales Jerin III
PMCID: PMC9969721  PMID: 27759760

ABSTRACT

CONTEXT AND OBJECTIVE:

Acute kidney injury (AKI) is still a headache for clinicians and scientists as a possible reason for increased death among intensive care unit (ICU) patients after invasive cardiac surgery. Furthermore, the diagnostic process for AKI using conventional biomarkers is not sufficient to ensure early warning of this condition because of the morbid influence of non-renal factors that definitively delay the time for the prognosis. These imposed limitations have led to significant amounts of research targeted towards identifying novel biomarkers for AKI with a sustained degree of sensitivity and specificity. Here, we reviewed previous studies conducted on the Klotho, CYR61 and YKL-40 biomarkers in relation to AKI.

DESIGN AND SETTING:

Review of the literature conducted in the Institute of Clinical Chemistry & Biochemistry, Ljubljana University Medical Center, Slovenia.

METHODS:

The literature was searched in PubMed and the Cochrane Library. From the database of this specialty, we selected 17 references that matched our context for detailed analysis and further investigation.

RESULTS:

The studies reviewed showed notable differences in their results relating to the diagnostic impact of Klotho, CYR61 and YKL-40 on early prediction of AKI.

CONCLUSIONS:

The results regarding the Klotho, CYR61 and YKL-40 biomarkers showed markedly equivocal performance in the previous studies and did not fulfill the expectations that these factors would form valid possible biomarkers for AKI.

KEY WORDS: Acute kidney injury, Thoracic surgery, Proteins, Biomarkers, Review

INTRODUCTION

Acute kidney injury (AKI) is a highly progressive critical problem that often occurs after invasive cardiac surgery using cardiopulmonary bypass (CBP).1,2 It threatens the life of intensive care unit (ICU) hospitalized patients through accompanying irreversible adverse outcomes that ultimately contribute to a 60% increase in mortality rate.3 Defining AKI is dependent on measurement of baseline serum creatinine, the traditional biomarker of kidney function, which remains unchanged until a sudden 50% of kidney function is lost.4 Moreover, AKI has been found to be strongly affected by dietary status, exercise, protein supplements, corticosteroids, age, gender and muscle mass.5,6 Therefore, there is an urgent need for novel biomarkers to predict and diagnose AKI at its earlier stages, so as to prevent complications and potentiate therapeutic approaches.

Classification of AKI

The Acute Dialysis Quality Initiative Group (ADQI) meeting in 2004 gave rise to a new regular criterion for analyzing kidney function, termed Risk Injury Failure Loss of function and End stage (RIFLE).7,8 RIFLE was dependent on serum creatinine (SCr) or urinary output (UO) measurements to determine the prognostic severity of deterioration of kidney function, classified into three stages.8 Many studies mentioned that the usefulness of RIFLE was affected by the following substantial limitations: [1] calculation of the SCr baseline using the Modification of Diet in Renal Disease (MDRD) equation showed high specificity for chronic kidney disease (CKD) but not AKI; [2] SCr was directly influenced by nonspecific factors and hence was unreliable; [3] using UO was a good alternative for SCr, but it was affected by diuretics and could only be measured by using a bladder catheter in an ICU and not among long-stay hospitalized patients; and [4] SCr was considered to be a marker for renal function, not kidney injury.9

Subsequently, a modified standard was published in 2007 under the name "Acute Kidney Injury Network (AKIN)", with the aim of closing gaps generated by RIFLE. AKIN used two values of SCr within two days instead of baseline SCr, regardless of glomerular filtration rate (GFR) changes. According to AKIN, stage 3 AKI was confirmed when the duration of increased SCr levels did not exceed 48 h and the patient required renal replacement therapy (RRT).10

The failure of both RIFLE and AKIN to fulfill precise prognostic stratification of AKI severity and to provide a unified definition of AKI was the reason for establishing the Kidney Disease Improving Global Outcomes (KDIGO) guidelines. These novel criteria suggested that AKI should be defined by SCr levels that reached 26.4 µmol/l within 48 h or increased to a level 1.5 times higher than the baseline level within 7 days, which provides a sufficient timeframe for AKI diagnosis.11 The differences between all the diagnostic criteria are summarized in Table 1.

Table 1: Differences between the guidelines "risk injury failure loss of function and end stage" (RIFLE), "acute kidney injury network" (AKIN) and "kidney disease improving global outcomes" (KDIGO) for diagnosing acute kidney injury (AKI).

Table 1:

Epidemiology of AKI

The AKI incidence rate worldwide has remained imprecise because of the small number of case report studies, gaps in the data collected from patients and differences in definitions of AKI between developed and developing countries.12,13,14 Recent studies conducted in the USA and Spain showed incidences of approximately 23.8 cases per 1000 discharges and 209 cases per million, respectively.15,16 A recent population-based study conducted in the UK reported high incidence of AKI, of 1811 cases per million in 2003.17 A report from Kuwait indicated an incidence of 4.1 cases per 100,000 population per year.18 In addition, the annual incidences for AKI in Brazil and northern India were 7.9 and 6.4 cases per 1000 admissions.19,20 Notably, the mortality rates in developed countries were found to be lower than those in developing countries, where young adults and children were very badly affected.21

Prospective biomarkers

Klotho

Klotho (KL) is a novel phosphatonin encoded by the anti-aging KL gene located on chromosome 13q12 as an inactive single-pass transmembrane protein.22 Upon activation through action by membrane bound-secretases like ADAM10 and ADAM17, driven by insulin, the extracellular domain is cleaved and its serum, urine and cerebrospinal fluid levels become elevated.23 This ectodomain was termed a soluble Klotho, which would possibly bind directly with FGFR and tend to form an active complex exhibiting high affinity against FGF,24 thereby alleviating oxidative stress through suppression of growth factors and stimulation of calcium ion channels (TRPV5 and TRPV6)23 and potassium channels (ROMK)25 but not sodium-phosphate cotransporters.26 Meanwhile, the remaining membrane Klotho would function as a coreceptor for bone regulatory hormone FGF23.27 Normally, Klotho shows greater expression in distal rather than proximal convoluted tubules in the kidneys, and in the choroid plexus of the brain rather than in the heart and parathyroid gland.28

The pathological importance of Klotho emerged through studies on animal models for AKI that had previously undergone ischemic reperfusion injury (IRI) or unilateral urethral obstruction (UUO). Thus, a transient reduction in renal Klotho mRNA expression was shown in response to renal tubular injury.29,30 Other studies on Klotho applied to humans have demonstrated that the urinary and plasma levels of Klotho in patients with AKI are notably lower than in healthy individuals.29 From these observations, it has been proposed that Klotho has a role in exacerbating renal damage and has potential as a likely biomarker for AKI.

Cysteine-rich protein 61 (CYR61)

CYR61 is a cysteine-rich matricellular protein encoded by the CYR61 gene located on chromosome 1p22.3. It is intercalated with various integrins and heparin sulfate proteoglycans and is associated with extracellular matrix formation, cell adhesion, proliferation, differentiation, angiogenesis, apoptosis and inflammation due to its biochemical features, which resemble Wnt-1 proto-oncogene, and its number of growth factors.31 Additionally, renal CYR61 mRNA and protein expression, along with urinary levels, have been found to increase in IRI animal models that suffered from significant hypoxia, despite being indistinguishable at renal levels in normal tissues.32,33 This result provides encouragement to study CYR61 levels in humans, in order to elucidate its preventive and/or predictive role against AKI.

Chitinase-3-like protein 1 (YKL-40)

Chitinase-3-like protein 1 (CHI3L1) or YKL-40 is a 40 kDa glycoprotein34 that is expressed from the CHI3L1 gene located on chromosome 1q31-q32.35 It is considered to be a member of the family of 18 glycoside hydrolases that encompasses chitinases but without any enzymatic activity. It is secreted by various cell types, including macrophages, chondrocytes and some types of cancer cells.34 Furthermore, Johansen et al. revealed that YKL-40 increased inflammation through activation of the innate immune response and regulation of tissue remolding.35 In addition, Maddens et al. collected urine samples from mice that presented sepsis two days after intrauterine injection of E. coli , and from human patients with sepsis. They showed similar quantitative increases in comparison with controls without AKI.36 Therefore, studies on YKL-40 remain a prerequisite for understanding the pathophysiology of AKI.

OBJECTIVE

The objective of the current review was to focus on the suitability and validity of Klotho, CYR61 and YKL-40 as ideal predictive biomarkers for acute kidney injury.

METHODS

We conducted a comprehensive systematic search by using the main known databases: PubMed, SCOPUS, SciELO, Lilacs, ScienceDirect and Google Scholar. The MeSH search terms included: (''Klotho and Acute Kidney Injury''), (''CYR61 and Acute Kidney Injury'') AND (Chitinase-3-like protein 1 and Acute Kidney Injury''). The search strategy was designed for the PubMed database and was altered as needed for use in other databases. Our last search was finished in January 2016. References were written in the English language. The inclusion criterion was that all research articles, review articles and observational studies included needed to match our context, i.e. "the propensity of CYR61, Klotho and YKL-40 to be novel biomarkers for AKI". Additionally, we excluded papers that investigated these biomarkers in relation to chronic kidney disease (CKD) and other diseases as well as AKI.

RESULTS

Our search revealed a total of 2917 references. From the title and abstract, while omitting review articles, case reports and similar results, the number of papers was reduced to 17, which included seven relating to the biomarker YKL-40, three relating to CYR61 and seven relating to Klotho (Table 2). Briefly, we summarized the main results and recommendations for each study in Table 3.29,30,32,36,37,38,39,40,41,42,43,44,45,46,47,48,49 Finally, a synopsis of the biomarkers studied, showing general descriptions, functions and techniques used for measurements, was produced as Table 4.

Table 2: Outlines of the search strategies used for each database.

Table 2:

Table 3: Summary of characteristics and main results of the 17 previous studies included in this review.

Serials Author/year Study design Purpose of the study Results and recommendations
1 De Loor et al.37 Pilot study To evaluate whether urinary Chitinase 3-like protein 1 (YKL-40) can predict AKI stage ≥ 2 in ICU patients compared with NGAL. The concentration of UCHI3L1 within 12 hours of AKI stage ≥ 2 was increased with good performance on AUC-ROC curve (0.792, 95% CI), similar to UNGAL AUC-ROC (0.748, 95% CI), and after 24 h, UCHI3L1 showed AUC-ROC twice as high (95% CI: 1.3-3.1) as controls.
2 Huen et al.38 Review Focus on future phenotyping of AKI regarding NGAL and YKL-40. NGAL and YKL-40 are important novel biomarkers involved in moderate renal tubular protection after AKI.
3 Schmidt et al.39 Cohort (comparative) study To evaluate the role of urinary and blood levels of YKL-40 in allografts after renal transplantation. Urinary YKL-40 increased early on, within 18 h after surgery (131.3 ± 155.2), with AUC 0.86 ± 0.07; blood YKL-40 retarded to 1 day after surgery (623 ± 285.9), with AUC 0.59 ± 0.08
4 Hall et al.40 Observational cohort study To measure YKL-40 levels in the urine of clinically hospitalized AKI patients. Urinary YKL-40 levels were detectable (≥ 5 ng/ml) within 1 h and gave better prognostic value (P = 0.04) with NGAL.
5 Tatar et al.41 Cohort study To define relationship between YKL-40 and proteinuria in renal transplant recipients. Mean serum YKL-40 and proteinuria levels were 66 ± 46 ng/ml and 0.77 ± 1.15 g/day respectively without any apparent correlation.
6 Maddens et al.36 Clinical and experimental study Measurement of urinary and plasma levels of Chitinase 3-like protein 1 and -3 in mice and patients with and without septic AKI. Urinary CHI3L1 higher in septic-AKI patients than in non-AKI (P < 0.05), but in septic-AKI mice models, CHI3L1 and -3 were found to be high.
7 Malyszko et al.42 Review article Illustration of candidate biomarkers in cases of delayed graft function as a form of acute kidney injury. Elevated YKL-40 in both urine and serum levels of patients with DGF, 2 days after transplantation.
8 Muramatsu et al.32 Experimental study To test CYR61 in the urinary levels of mice and rats after immediate renal ischemic reperfusion injury. CYR61 protein increased first within 1 h and appeared in urine 3-6 h after ischemic renal injury.
9 Lai et al.43 Experimental study To investigate the role of CYR61 after unilateral IRI in mice. CYR61 was significantly induced at renal and urinary levels after IRI.
10 Xu et al.44 Experimental study To indicate CYR61 expression in renal cell lines under hypoxia Enhanced expression of renal CYR61 in response to hypoxic ischemic injury.
11 Kim et al.45 Cohort study To determine possible influence of AKI on serum and urinary levels of Klotho, S100A8/A9 and NGAL Urinary Klotho levels were 13.21 ± 17.32 versus 72.97 ± 17.96 pg/ml (P = 0.002) in pre-renal and intrinsic AKI respectively.
12 Torregrosa et al.46 Cohort study Assessment of urinary Klotho levels in patients after cardiac surgery or coronary angiography. Klotho levels did not behave as a good early biomarker of AKI.
13 Castellano et al.47 Experimental study To investigate whether or not complement components affect Klotho levels after IRI. Complement activation result in remarkable decline in renal Klotho levels, 24 h after IRI.
14 Liu et al.48 Case-control study To evaluate serum Klotho levels at different time intervals after cardiac surgery. Serum Klotho levels were 101.97 ± 16.93 versus 121.64 ± 19.87 (P < 0.01) in AKI and non-AKI group respectively at 0 h and continued until 4 h. After 3 days, serum Klotho values were 120.50 ± 13.17 versus 128.67 ± 18.84.
15 Seo et al.49 Retrospective cohort study Assessment of renal Klotho levels in human samples instead of animal models. Renal Klotho levels were significant reduced with AKI severity.
16 Hu et al.29 Experimental and case-control study To estimate Klotho at urinary and plasma levels, investigating probable protective ability. Urinary Klotho values (pmoles/l) were 2.52 ± 0.76 in AKI versus 20.66 ± 1.81 in non-AKI, with P < 0.01.
17 Sugiura et al.30 Experimental study To explain the physiological relevance of renal Klotho after IRI in rats. Renal Klotho levels were significantly reduced in IRI rats, 24 h after ischemia.

Table 4: Description of biomarkers, their functions and measurement methods.

Table 4:

PCR = polymerase chain reaction; ELISA = enzyme-linked immunosorbent assay.

DISCUSSION

In this review article, we discuss the propensity of some novel biomarkers for early detection of AKI. Traditional biomarkers have been proven to be unable to satisfactorily distinguish AKI during the first 24 hours before kidney function is disrupted. This is certain to delay the diagnostic process and gives rise to the possibility that the patient's condition will worsen. Despite the paucity of studies on biomarkers and AKI (for reasons mentioned earlier), we conducted a comprehensive review of the literature encompassing all papers relating to our context, focusing on all the results.

Recent papers have inferred that reduced levels of Klotho correlated with emergence of soft tissue calcifications, cardiovascular diseases, senescence, cancers, chronic hypertension, osteoporosis, renal failure, diabetes mellitus, oxidative stress and uremic parathyroid hyperplasia.50,51,52 Furthermore, Hu et al. observed that Klotho levels in both plasma and urine declined immediately in AKI animal models and were detectable within 3 h after injury. This change preceded any changes in serum creatinine by 1 day and plasma NGAL by 5 h, thus suggesting that Klotho may be an early biomarker for renal parenchymal injury.29,53 In the same manner, Kim et al. demonstrated that there were lower urinary Klotho levels in patients with pre-renal AKI than those with intrinsic AKI, and that this was not accompanied by any change in NGAL at the serum and urinary levels.45

Sugiura et al. indicated that renal Klotho levels in rats started to fall on the first day and completely returned to normal within 10 days.30 On the other hand, Seo et al. studied human subjects and showed that renal Klotho levels were reduced, compared with high serum creatinine levels, according to AKI severity.49 Likewise, Castellano et al. observed that Klotho levels were significantly increased in renal biopsies on cadaveric donors before transplantation and markedly reduced in patients with delayed graft function (DGF), in comparison with patients with early graft function. Furthermore, serum Klotho levels showed a significant decrease in DGF patients two years after transplantation, thus suggesting that the complement component has a modulatory role through activation of the nuclear factor kappa B (NF-kB) signaling pathway.47

A clinical study on urinary Klotho levels found that these were lower in AKI patients than in healthy individuals and recommended that this should be a candidate biomarker for AKI.29 Surprisingly, Torregrosa et al. concluded that there was no difference in urinary Klotho levels measured by means of the ELISA (enzyme-linked immunosorbent assay) technique between AKI and non-AKI patients after cardiac surgery or coronary angiography, thus dismissing the possibility that Klotho would be a sensitive AKI biomarker.46 Recently, Liu et al. showed that there was a notable immediate decline in serum Klotho levels in AKI patients compared with non-AKI (101 ± 16.93 versus 121.64 ± 19.87) after cardiac valve replacement surgery, although the preoperative levels had been steady and close together without any significant difference. Subsequently, 24 hours after the operation, the levels exhibited stepwise recovery towards the preoperative (baseline) levels. This observation indicated that serum Klotho might be a sensitive biomarker limited to a short time after surgery. An emerging suggestion to use the SCr/KL ratio instead of serum creatinine or Klotho alone could improve their diagnostic sensitivity for AKI at later times.48

Studies on Klotho were found to exhibit a variety of problematic issues: almost all the studies related to animal models rather than humans, with a narrow scale; there were unexplained variations between comparable studies; the mechanism of Klotho in AKI remains unknown, the behavior of Klotho in animal models differed from its behavior in humans; there was a lack of knowledge of ideal Klotho timing and normal cutoff ranges; and the urinary and plasma levels of Klotho were not indicative for renal Klotho, which might suggest that confounding factors and discrepancies in laboratory methodologies were present.

According to Vaidya and Muramatsu et al., CYR-61 was rapidly stimulated in the proximal renal tubules and was excreted in urine within 3-6 h after bilateral renal ischemic injury in rats. Its peak was within 6-9 h and it declined after 24 h.32,54 Consequently, urinary CYR61 might act as an acceptable biomarker and screening tool for AKI, with follow-up in both preclinical and clinical studies.32,55 Moreover, Lai et al. conducted experiments on mice that proved that proinflammatory TGF-β enhanced renal CYR61 in mRNA and protein levels within 10 days after occurrences of unilateral ureteral obstruction (UUO).56 Subsequently, CYR61 gave rise to inflammatory sequelae through activation of monocyte chemoattractant protein-1 (MCP-1), thereby leading to monocyte chemotaxis and macrophage infiltration.57 This evidence revealed that inhibition of CYR61 could prevent adverse consequences that would contribute towards irreversible AKI-CKD transition, through postponing inflammation, tubulointerstitial fibrosis and apoptosis.43 Furthermore, Xu et al. conducted experiments on renal cell lines under conditions of hypoxia and found that CYR61 expression prevented apoptosis through phosphorylation of BAD, which released anti-apoptotic factors (bcl-2, bcl-xl) and enhanced cell proliferation through activation of the Akt and ERK signaling pathways.44

Other previous papers investigating CYR61 expression found that it was induced by several growth factors, exposure to UV irradiation,58 hypoxic conditions, vigorous exercise,59 bacterial infections60 and viral infections.61 Likewise, Pendurthi et al. mentioned that clotting factor VIIa (FVIIa) and thrombin triggered CYR61 redundancy, forced through blood coagulation.62 This observation matched with Hviid et al., who indicated that CYR61 levels increased at sites of surgical wound closure and that CYR61 was absent from systemic blood, which might explain the mediatory role of platelets in accumulations of CYR61 at sites of tissue injury in AKI patients.63

The diagnostic capacity of urinary CYR61 as a biomarker might be blocked through: 1) its poor specificity, since it is normally abundant under both physiological and pathological conditions; 2) its rapid decline over time in spite of AKI progression; 3) the insensitivity of the immunoblotting technique used in quantification in urine; and 4) the fact that most studies were conducted on animal models because of difficulty in obtaining samples from human patients without prolonged routine registry for clinical trials in accordance with the World Health Organization (WHO) requirements and without prior patient approval.

Hall et al. showed that increased levels of urinary YKL-40 of up to 5 ng/ml were moderately correlated with AKI progression and/or mortality among patients. Moreover, apparent increases in YKL-40 levels in urine were observed in cases of kidney transplantation among patients hospitalized within 24 hours of developing AKI.40 Further proof was presented by Maddens et al., showing that urinary levels of YKL-40 were elevated in septic AKI patients. Taken together, YKL-40 with the best renal troponins (NGAL) might improve stratification of the risk of AKI among patients without any indications of primary renal damage and strengthen early prediction of sepsis-induced AKI.36,38

Another study by Schmidt and Malyszko et al. reported that urinary YKL-40 was better than serum YKL-40 levels for distinguishing between delayed graft function and slow or immediate graft function, within 3 days after kidney transplantation. Delayed graft function produces greater severity of ischemic kidney injury, while the damage from other types tends to become repaired.39,42 Synergistically, Hall et al. recommended that urinary YKL-40 could be used as an accurate and reliable biomarker to identify patients at risk of AKI following transplantation, rather than urinary or plasma NGAL.40 Conversely, a pilot study by De Loor et al. demonstrated that the urinary concentrations of YKL-40 and NGAL in ICU patients with AKI stage ≥ 2 measured within 12 h or 24 h exhibited higher convergent diagnostic performance than did serum YKL-40, which did not show any predictive power against AKI.37 Moreover, Tatar et al. concluded that high levels of serum YKL-40 was accompanied by increased CRP and proteinuria levels in kidney transplant recipients, thus indicating its inflammatory role.41 Although YKL-40 showed many important benefits, the pathophysiological mechanism that leads to its expression in cases of AKI remains uncertain and validated cutoffs remain largely absent.

CONCLUSION

The results regarding the Klotho, CYR61 and YKL-40 biomarkers showed markedly equivocal performance in the previous studies and did not fulfill the expectations that these factors would form valid possible biomarkers for AKI.

Footnotes

Health Science College at Al-Leith, Umm Al-Qura University, Saudi Arabia

Sources of funding: No funding sources were available

REFERENCES

  • 1.Dirkes S. Acute kidney injury: not just acute renal failure anymore? Crit Care Nurse. 2011;31(1):37–49. doi: 10.4037/ccn2011946. quiz 50. [DOI] [PubMed] [Google Scholar]
  • 2.Rewa O, Bagshaw SM. Acute kidney injury-epidemiology, outcomes and economics. Nat Rev Nephrol. 2014;10(4):193–207. doi: 10.1038/nrneph.2013.282. [DOI] [PubMed] [Google Scholar]
  • 3.Liangos O, Wald R. O'Bell JW Epidemiology and outcomes of acute renal failure in hospitalized patients a national survey. Clin J Am Soc Nephrol. 2006;1(1):43–51. doi: 10.2215/CJN.00220605. [DOI] [PubMed] [Google Scholar]
  • 4.Moran SM, Myers BD. Course of acute renal failure studied by a model of creatinine kinetics. Kidney Int. 1985;27(6):928–937. doi: 10.1038/ki.1985.101. [DOI] [PubMed] [Google Scholar]
  • 5.Star RA. Treatment of acute renal failure. Kidney Int. 1998;54(6):1817–1831. doi: 10.1046/j.1523-1755.1998.00210.x. [DOI] [PubMed] [Google Scholar]
  • 6.Stevens LA, Lafayette RA, Perrone RD, Levey AS. Schrier RW. Diseases of the Kidney and Urinary Tract. 8. Philadelphia: Lippincott Williams & Wilkins; 2007. Laboratory evaluation of kidney function; pp. 299–336. [Google Scholar]
  • 7.Bagga A, Bakkaloglu A, Devarajan P. Improving outcomes from acute kidney injury report of an initiative. Pediatr Nephrol. 2007;22(10):1655–1658. doi: 10.1007/s00467-007-0565-4. [DOI] [PubMed] [Google Scholar]
  • 8.Bellomo R, Ronco C, Kellum JA. Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care. 2004;8(4):R204–R212. doi: 10.1186/cc2872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lopes JA, Jorge S. The RIFLE and AKIN classifications for acute kidney injury: a critical and comprehensive review. Clinical Kidney Journal. 2013;6(1):8–14. doi: 10.1093/ckj/sfs160. Available from: http://ckj.oxfordjournals.org/content/6/1/8.full.pdf+html . Accessed in 2016 (Jun 7) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Mehta RL, Kellum JA, Shah SV. Acute Kidney Injury Network report of an initiative to improve outcomes in acute kidney injury. Crit Care. 2007;11(2):R31–R31. doi: 10.1186/cc5713. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Abstract. Kidney Int Suppl (2011) 2012;2(2):142–142. [Google Scholar]
  • 12.Lameire N, Van Biesen W, Vanholder R. The rise of prevalence and the fall of mortality of patients with acute renal failure what the analysis of two databases does and does not tell us. J Am Soc Nephrol. 2006;17(4):923–925. doi: 10.1681/ASN.2006020152. [DOI] [PubMed] [Google Scholar]
  • 13.Cerdá J, Lameire N, Eggers P. Epidemiology of acute kidney injury. Clin J Am Soc Nephrol. 2008;3(3):881–886. doi: 10.2215/CJN.04961107. [DOI] [PubMed] [Google Scholar]
  • 14.Lameire N, Van Biesen W, Vanholder R. The changing epidemiology of acute renal failure. Nat Clin Pract Nephrol. 2006;2(7):364–377. doi: 10.1038/ncpneph0218. [DOI] [PubMed] [Google Scholar]
  • 15.Xue JL, Daniels F, Star RA. Incidence and mortality of acute renal failure in Medicare beneficiaries, 1992 to 2001. J Am Soc Nephrol. 2006;17(4):1135–1142. doi: 10.1681/ASN.2005060668. [DOI] [PubMed] [Google Scholar]
  • 16.Liaño F, Pascual J. Epidemiology of acute renal failure a prospective, multicenter, community-based study. Madrid Acute Renal Failure Study Group. Kidney Int. 1996;50(3):811–818. doi: 10.1038/ki.1996.380. [DOI] [PubMed] [Google Scholar]
  • 17.Ali T, Khan I, Simpson W. Incidence and outcomes in acute kidney injury a comprehensive population-based study. J Am Soc Nephrol. 2007;18(4):1292–1298. doi: 10.1681/ASN.2006070756. [DOI] [PubMed] [Google Scholar]
  • 18.Abraham G, Gupta RK, Senthilselvan A, van der Meulen J, Johny KV. Cause and prognosis of acute renal failure in Kuwait a 2-year prospective study. J Trop Med Hyg. 1989;92(5):325–329. [PubMed] [Google Scholar]
  • 19.Noronha IL, Schor N, Coelho SN. Nephrology, dialysis and transplantation in Brazil. Nephrol Dial Transplant. 1997;12(11):2234–2243. doi: 10.1093/ndt/12.11.2234. [DOI] [PubMed] [Google Scholar]
  • 20.Srivastava RN, Bagga A, Moudgil A. Acute renal failure in north Indian children. Indian J Med Res. 1990;92:404–408. [PubMed] [Google Scholar]
  • 21.Arora P, Kher V, Rai PK. Prognosis of acute renal failure in children a multivariate analysis. Pediatr Nephrol. 1997;11(2):153–155. doi: 10.1007/s004670050247. [DOI] [PubMed] [Google Scholar]
  • 22.Matsumura Y, Aizawa H, Shiraki-Iida T. Identification of the human klotho gene and its two transcripts encoding membrane and secreted klotho protein. Biochem Biophys Res Commun. 1998;242(3):626–630. doi: 10.1006/bbrc.1997.8019. [DOI] [PubMed] [Google Scholar]
  • 23.Chen CD, Podvin S, Gillespie E, Leeman SE, Abraham CR. Insulin stimulates the cleavage and release of the extracellular domain of Klotho by ADAM10 and ADAM17. Proc Natl Acad Sci U S A. 2007;104(50):19796–19801. doi: 10.1073/pnas.0709805104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kurosu H, Ogawa Y, Miyoshi M. Regulation of fibroblast growth factor-23 signaling by klotho. J Biol Chem. 2006;281(10):6120–6123. doi: 10.1074/jbc.C500457200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Cha SK, Hu MC, Kurosu H. Regulation of renal outer medullary potassium channel and renal K(+) excretion by Klotho. Mol Pharmacol. 2009;76(1):38–46. doi: 10.1124/mol.109.055780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Hu MC, Moe OW. Klotho as a potential biomarker and therapy for acute kidney injury. Nat Rev Nephrol. 2012;8(7):423–429. doi: 10.1038/nrneph.2012.92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hu MC, Kuro-o M, Moe OW. Klotho and chronic kidney disease. Contrib Nephrol. 2013;180:47–63. doi: 10.1159/000346778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kuro-o M. Overview of the FGF23-Klotho axis. Pediatr Nephrol. 2010;25(4):583–590. doi: 10.1007/s00467-009-1260-4. [DOI] [PubMed] [Google Scholar]
  • 29.u MC, Shi M, Zhang J. Klotho deficiency is an early biomarker of renal ischemia-reperfusion injury and its replacement is protective. Kidney Int. 2010;78(12):1240–1251. doi: 10.1038/ki.2010.328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.ugiura H, Yoshida T, Tsuchiya K, et al. Klotho reduces apoptosis in experimental ischaemic acute renal failure. Nephrol Dial Transplant. 2005;20(12):2636–2645. doi: 10.1093/ndt/gfi165. [DOI] [PubMed] [Google Scholar]
  • 31.Perbal B. CCN proteins multifunctional signaling regulators. Lancet. 2004;363(9402):62–64. doi: 10.1016/S0140-6736(03)15172-0. [DOI] [PubMed] [Google Scholar]
  • 32.Muramatsu Y, Tsujie M, Kohda Y. Early detection of cysteine rich protein 61 (CYR61, CCN1) in urine following renal ischemic reperfusion injury. Kidney Int. 2002;62(5):1601–1610. doi: 10.1046/j.1523-1755.2002.00633.x. [DOI] [PubMed] [Google Scholar]
  • 33.Kolesnikova TV, Lau LF. Human CYR61-mediated enhancement of bFGF-induced DNA synthesis in human umbilical vein endothelial cells. Oncogene. 1998;16(6):747–754. doi: 10.1038/sj.onc.1201572. [DOI] [PubMed] [Google Scholar]
  • 34.Hakala BE, White C, Recklies AD. Human cartilage gp-39, a major secretory product of articular chondrocytes and synovial cells, is a mammalian member of a chitinase protein family. J Biol Chem. 1993;268(34):25803–25810. [PubMed] [Google Scholar]
  • 35.Johansen JS, Jensen BV, Roslind A, Nielsen D, Price PA. Serum YKL-40, a new prognostic biomarker in cancer patients? Cancer Epidemiol Biomarkers Prev. 2006;15(2):194–202. doi: 10.1158/1055-9965.EPI-05-0011. [DOI] [PubMed] [Google Scholar]
  • 36.Maddens B, Ghesquière B, Vanholder R, et al. Chitinase-like proteins are candidate biomarkers for sepsis-induced acute kidney injury. Mol Cell Proteomics. 2012;11(6):M111.013094–M111.013094. doi: 10.1074/mcp.M111.013094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.De Loor J, Decruyenaere J, Demeyere K. Urinary chitinase 3-like protein 1 for early diagnosis of acute kidney injury a prospective cohort study in adult critically ill patients. Crit Care. 2016;20(1):38–38. doi: 10.1186/s13054-016-1192-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Huen SC, Parikh CR. Molecular phenotyping of clinical AKI with novel urinary biomarkers. Am J Physiol Renal Physiol. 2015;309(5):F406–F413. doi: 10.1152/ajprenal.00682.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Schmidt IM, Hall IE, Kale S. Chitinase-like protein Brp-39/YKL-40 modulates the renal response to ischemic injury and predicts delayed allograft function. J Am Soc Nephrol. 2013;24(2):309–319. doi: 10.1681/ASN.2012060579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Hall IE, Stern EP, Cantley LG, Elias JA, Parikh CR. Urine YKL-40 is associated with progressive acute kidney injury or death in hospitalized patients. BMC Nephrol. 2014;15:133–133. doi: 10.1186/1471-2369-15-133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Tatar E, Gungor O, Celtik A. Correlation between serum YKL-40 (chitinase-3-like protein) level and proteinuria in renal transplant recipients. Ann Transplant. 2013;18:95–100. doi: 10.12659/AOT.883844. [DOI] [PubMed] [Google Scholar]
  • 42.Malyszko J, Lukaszyk E, Glowinska I, Durlik M. Biomarkers of delayed graft function as a form of acute kidney injury in kidney transplantation. Sci Rep. 2015;5:11684–11684. doi: 10.1038/srep11684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Lai CF, Lin SL, Chiang WC. Blockade of cysteine-rich protein 61 attenuates renal inflammation and fibrosis after ischemic kidney injury. Am J Physiol Renal Physiol. 2014;307(5):F581–F592. doi: 10.1152/ajprenal.00670.2013. [DOI] [PubMed] [Google Scholar]
  • 44.Xu Y, Shen X, Ma R, Jiang W, Zhang W. Protection of renal tubular epithelial cells from apoptosis by Cyr61 expression under hypoxia. Cell Biology International Reports. 2014;21(2):47–52. Available from: http://onlinelibrary.wiley.com/doi/10.1002/cbi3.10016/full . Accessed in 2016 (Jun 7) [Google Scholar]
  • 45.Kim AJ, Ro H, Kim H. Klotho and S100A8/A9 as Discriminative Markers between Pre-Renal and Intrinsic Acute Kidney Injury. PLoS One. 2016;11(1):e0147255. doi: 10.1371/journal.pone.0147255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Torregrosa I, Montoliu C, Urios A. Urinary Klotho measured by ELISA as an early biomarker of acute kidney injury in patients after cardiac surgery or coronary angiography. Nefrología. 2015;35(2):172–178. doi: 10.1016/j.nefro.2014.12.003. [DOI] [PubMed] [Google Scholar]
  • 47.Castellano G, Intini A, Stasi A. Complement Modulation of Anti-Aging Factor Klotho in Ischemia/Reperfusion Injury and Delayed Graft Function. Am J Transplant. 2016;16(1):325–333. doi: 10.1111/ajt.13415. [DOI] [PubMed] [Google Scholar]
  • 48.Liu YJ, Sun HD, Chen J. Klotho a novel and early biomarker of acute kidney injury after cardiac valve replacement surgery in adults. Int J Clin Exp Med. 2015;8(5):7351–7358. [PMC free article] [PubMed] [Google Scholar]
  • 49.Seo MY, Yang J, Lee JY. Renal Klotho expression in patients with acute kidney injury is associated with the severity of the injury. Korean J Intern Med. 2015;30(4):489–495. doi: 10.3904/kjim.2015.30.4.489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Bian A, Neyra JA, Zhan M, Hu MC. Klotho, stem cells, and aging. Clin Interv Aging. 2015;10:1233–1243. doi: 10.2147/CIA.S84978. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Mitobe M, Yoshida T, Sugiura H. Oxidative stress decreases klotho expression in a mouse kidney cell line. Nephron Exp Nephrol. 2005;101(2):e67–e74. doi: 10.1159/000086500. [DOI] [PubMed] [Google Scholar]
  • 52.Canalejo R, Canalejo A, Martinez-Moreno JM. FGF23 fails to inhibit uremic parathyroid glands. J Am Soc Nephrol. 2010;21(7):1125–1135. doi: 10.1681/ASN.2009040427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Hu MC, Kuro-o M, Moe OW. The emerging role of Klotho in clinical nephrology. Nephrol Dial Transplant. 2012;27(7):2650–2657. doi: 10.1093/ndt/gfs160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Vaidya VS, Ferguson MA, Bonventre JV. Biomarkers of acute kidney injury. Annu Rev Pharmacol Toxicol. 2008;48:463–493. doi: 10.1146/annurev.pharmtox.48.113006.094615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Trof RJ, Di Maggio F, Leemreis J, Groeneveld AB. Biomarkers of acute renal injury and renal failure. Shock. 2006;26(3):245–253. doi: 10.1097/01.shk.0000225415.5969694.ce. [DOI] [PubMed] [Google Scholar]
  • 56.Lai CF, Chen YM, Chiang WC. Cysteine-rich protein 61 plays a proinflammatory role in obstructive kidney fibrosis. PLoS One. 2013;8(2):e56481. doi: 10.1371/journal.pone.0056481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Deshmane SL, Kremlev S, Amini S, Sawaya BE. Monocyte chemoattractant protein-1 (MCP-1) an overview. J Interferon Cytokine Res. 2009;29(6):313–326. doi: 10.1089/jir.2008.0027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Quan T, He T, Shao Y. Elevated cysteine-rich 61 mediates aberrant collagen homeostasis in chronologically aged and photoaged human skin. Am J Pathol. 2006;169(2):482–490. doi: 10.2353/ajpath.2006.060128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Kivelä R, Kyröläinen H, Selänne H. A single bout of exercise with high mechanical loading induces the expression of Cyr61/CCN1 and CTGF/CCN2 in human skeletal muscle. J Appl Physiol (1985) 2007;103(4):1395–1401. doi: 10.1152/japplphysiol.00531.2007. [DOI] [PubMed] [Google Scholar]
  • 60.Wiedmaier N, Müller S, Köberle M. Bacteria induce CTGF and CYR61 expression in epithelial cells in a lysophosphatidic acid receptor-dependent manner. Int J Med Microbiol. 2008;298(3-4):231–243. doi: 10.1016/j.ijmm.2007.06.001. [DOI] [PubMed] [Google Scholar]
  • 61.Kim SM, Park JH, Chung SK. Coxsackievirus B3 infection induces cyr61 activation via JNK to mediate cell death. J Virol. 2004;78(24):13479–13488. doi: 10.1128/JVI.78.24.13479-13488.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Pendurthi UR, Ngyuen M, Andrade-Gordon P, Petersen LC, Rao LV. Plasmin induces Cyr61 gene expression in fibroblasts via protease-activated receptor-1 and p44/42 mitogen-activated protein kinase-dependent signaling pathway. Arterioscler Thromb Vasc Biol. 2002;22(9):1421–1426. doi: 10.1161/01.atv.0000030200.59331.3f. [DOI] [PubMed] [Google Scholar]
  • 63.Hviid CVB, Pripp AH, Aasen OA, Danckert-Krohn C. Postoperative Accumulation of Cyr61/CCN1 in Surgical Wound Fluid Precedes Cytokine Activation and is Disparate from Systemic Alterations. Journal of Infectious Diseases & Therapy. 2014;2(6):181–181. Available from: http://www.esciencecentral.org/journals/postoperative-accumulation-of-cyrccn-in-surgical-2332-0877.1000181.pdf . Accessed in 2016 (Jun 7) [Google Scholar]

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