Biomarkers in Acute Kidney Injury

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Biomarkers in Acute Kidney Injury Mark D. Okusa, M.D. Chief, Division of Nephrology Center for Immunity, Inflammation and Regenerative Medicine University of Virginia Health System

Population incidence of dialysis-requiring AKI in the United States by age groups from 2000 to 2009 Hsu R K et al. JASN 2013;24:37-42

AKI Pathophysiology: 1996-2018 R. Thadhani, M. Pascual, JV Bonventre N Engl J Med 334(22):1448-60, 1996 D.A Ferenbach and J.V. Bonventre Nat Rev Nephrol 11:264-76, 2015

Shift in focus to AKI Biomarkers Despite some advances in our understanding of the pathophysiology and epidemiology of Acute Kidney Injury, real breakthroughs in treatment and management of the disease have not been achieved because of the lack of informative biomarkers... RFA-DK-07-009 Ancillary Studies in the Natural History of Acute Kidney Injury (U01) 500 400 RFA-DK-07-009 Publications 300 200 100 0 1975 1980 1981 1982 1983 1984 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 PubMed Search for AKI Biomarkers or Acute Kidney Injury Biomarkers

Early Pharmacological Therapies of AKI Drug Biological rationale Animal experiments Uncontrolled human data Small RCT Large RCT Loop diuretics Present Favorable Favorable Negative N/A Low-dose dopamine Present Favorable Favorable Variable Negative Mannitol Present Favorable Favorable N/A N/A Ca antagonist Present Favorable Favorable Variable N/A Theophylline Present Favorable Favorable Variable N/A Prostaglandins Present Favorable Favorable N/A N/A ANP Present Favorable Favorable Variable N/A -receptor antagonist Present N/A N/A Positive N/A Endothelin antagonist Present Favorable N/A N/A N/A Thromboxane antagonist Present Favorable N/A N/A N/A Thyroxine Present Favorable N/A Negative N/A Saline Present Favorable Favorable Positive N/A NAC Present Favorable N/A Variable N/A Non-ionic media Present Favorable Favorable Positive positive C. Ronco and R.Bellomo Nephron Clinical Practice 93:C13, 2003 ADQI 4th International Consensus Conference 2005

BARRIERS TO SUCCESSFUL CLINICAL TRIALS AKI is a multisystem disorder The lack of success due to clinical trial design: low statistical power lack of a consensus definition in previous trials improper end points, difficulty in timely administration of the drug adverse effects of the drug, and patient heterogeneity Lack of good animal models Heterogeneous population of humans with AKI Multifactorial insults in AKI The lack of in vivo pharmacokinetic and pharmacodynamics properties of drugs for the prevention of AKI in humans. better understanding of the concentration of the drug at the site of action in relation to the on-target biological effect The lack of implementation in clinical trials of appropriate damage/biochemical markers and physiological biomarkers to identify patients at an early time point after AKI.

Heterogeneity of AKI by Serum Creatinine Definition Perioperative Intensive Care Unit Cardiac Care Unit ATI Prerenal ATI AIN Cardiorenal Cardiorenal Prerenal Cardiorenal AIN Obstructive Laboratory Variability Prerenal Obstructive Laboratory Variability Sepsis Hepatorenal ATI AIN Obstructive Laboratory Variability Serum Creatinine 2 mg/dl Serum Creatinine 2 mg/dl Serum Creatinine 2 mg/dl Courtesy of Chirag Parikh, Johns Hopkins U.

Biomarkers for AKI Creatinine is a Late Marker of GFR GFR ml/min Creat mg/dl 100 10 8 6 10 0 2 3 6 8 10 Time, days 4 2 Serum creatinine - gold standard for AKI Dx Serum creatinine can take several days to reach a new steady state Insensitive: More than 50% of kidney function may be lost before serum creatinine rises J. Oliver J Clin Invest 30:1307, 1951 Courtesy of MA Venkatachalam

A standardized definition of AKI: KDIGO Increase in creatinine of > 0.3 mg/dl in 48h OR 1.5x baseline in 7d OR Oliguria < 0.5ml/kg/h x 6h

RELATIONSHIP BETWEEN SERUM CREATININE AND GFR IN AKI Nutrition Drugs Tubular excretion Muscle mass Protein metabolism SERUM CREATININE Renal excretion Star RA, Kidney Int, 1998 Infection Edema Volume of distribution Nonlinear Filtration (GFR)

Effect of Creatinine Generation on the Diagnosis of AKI Predicted effect of a 25% in creatinine generation. J. R. Prowle Nat Rev Neprhol, 9: 193, 2013

Problem with creatinine based and urine output assessment of AKI Indirect reflection of kidney damage Many factors affect serum creatinine levels (fluid overload, age, muscle mass, infection, drugs, decrease Cr generation in AKI etc) Retrospective in nature, requiring 6 hrs to several days Insensitive (take one kidney and minimal change in creatinine) The urine output criteria for AKI diagnosis (<0.5 ml/kg/hr for more than 6 hours) are hindered by Limited sensitivity when diuretics are administered Reduced specificity in the presence of dehydration Lack of practicality in measurement when an indwelling urinary catheter is not present. Limitations which contribute to the inability to identify individuals at risk, and translate promising pre-clinical therapeutic strategies into successful treatments

AKI Diagnosis Need for Early Diagnosis and Biomarkers Primary Prevention Early Secondary Late Prevention High risk Prerenal AKI AKI Therapeutic Window Sensitive Biomarkers Creatinine Glomerular Filtration Rate Jo, S.K. M.H. Rosner and M.D. Okusa, Clin. J. Am. Soc. Nephrol. 2: 356 365, 2007.

Characteristics of an Ideal AKI Biomarker Predict and diagnose AKI early (before increase in serum creatinine) Identify the primary location of injury (proximal tubule, distal tubule, interstitium) Pinpoint the type (pre-renal, AKI, CKD), duration and severity of kidney injury Identify the etiology of AKI (ischemic, septic, toxic, combination) Predict clinical outcomes (dialysis, death, length of stay) Monitor response to intervention and treatment Expedite the drug development process (safety) Prasad Devarajan: Biomarkers in Acute Kidney Injury :Search for a Serum Creatinine Surrogate

Urine microscopy in early diagnosis of AKI 267 hospitalized patients with a diagnosis of AKI. Findings on urine microscopy led change in the initial diagnosis of PRA to ATN in 27 patients (23%) ATN to PRA in 15 patients (14%) MA Perazella et al. Clin J Am Soc Nephrol 3: 1615-1619, 2008

Protein Biomarkers in Relation to Site of Injury in Nephron Proximal Tubule Injury Urine IL-18 Urine KIM-1 Urine L-FABP Urine TIMP2/IGFBP7 Distal Tubule Urine NGAL Glomerular Injury Urine albumin excretion Glomerular Filtration and Proximal Tubule Function Serum Creatinine Serum Cystatin C Urine Cystatin C Loop of Henle Injury Uromodulin Interstitial Fibrosis Urine TGF-β 1

Novel Biomarkers for AKI Creatinine is a Poor Marker of GFR NGAL GFR ml/min 100 IL-18 10 8 6 4 Creat mg/dl 10 2 0 2 3 6 8 10 Time, days NGAL (urine and plasma) KIM-1 (urine) L-FABP (urine) IL-18 (urine) Cystatin C (urine and plasma) Albumin (urine) NAG (urine) GST - and p (urine) GGT (urine) Beta 2-microglobulin (urine)

Urinary NGAL (ng/gm creat) NGAL in Pediatric Cardiac Surgery 71 children undergoing cardiopulmonary bypass (20 AKI) Urinary NGAL at 2hrs nearly perfect in identifying subsequent AKI (increase in SCr by at least 50%): no AKI AKI SCr rise AUC Hours = following 0.998bypass Mishra, et al. JASN 2003 Mishra et al. Lancet 2005

Most Candidate Markers Being Tested Perform Well in Established AKI Biomarker AUC-ROC (95% CI) Cutoff Sensitivity (95% CI) Specificity (95% CI) L-FABP (ng/mg) 0.93 (0.88 0.97) 47.1 83% (73 90%) 90% (77 97%) NGAL (ng/mg) 0.92 (0.86 0.96) 186.8 81% (71 89%) 100% (92 100%) KIM-1 (ng/mg) 0.89 (0.82 0.94) 1.7 77% (67 85%) 100% (92 100%) NAG (U/mg) 0.89 (0.82 0.94) 0.007 99% (94 100%) 64% (48 78%) IL-18 (pg/mg) 0.83* (0.76 0.89) 2.2 71% (60 80%) 90% (77 93%) Edward Siew, Novel Biomarkers of Acute Kidney Injury in Critically Ill Patients Adapted from Ferguson Kid Intern 77, 2010

Ngal-Luc2-mC visualized kidney damage in real time in vivo Injury ATG NGAL Luc2 mcherry Mild Severe N. Paragas J. Barasch, Nat Med. 2011 February; 17(2): 216 222

Volume depletion failed to activate Ngal-reporter expression N. Paragas J. Barasch, Nat Med. 2011 February; 17(2): 216 222

Renal tubular cells enter a period of G1 cell-cycle arrest after inducing ischemia or sepsis. IGFBP7 and TIMP-2 - involved in G1 cell cycle arrest during the early phase of cell injury. The G1 cell cycle arrest may prevent division of cells with damaged DNA until the DNA damage is repaired. Sapphire study: AUC values to predict the development of AKI (AKIN stage 2 or 3) in critically ill patients within 12 hours were 0.76 for IGFBP7 and 0.79 for TIMP-2. [TIMP-2]*[IGFBP7] - higher AUC (0.80) and was significantly superior to all previously described markers of AKI. Cell Cycle Biomarkers [TIMP-2]*[IGFBP7] significantly improved risk prediction when added to clinical scoring systems. TIMP-2 Tissue Inhibitor of Metalloproteinase 2 IGFBP7 Insulin like growth factor binding protein 7

[TIMP-2]*[IGFBP] Performance AUC from Sapphire study - endpoint (KDIGO stage 2 or 3 within 12 hours of sample collection). Samples were collected within 18 hours of enrollment Kashani et al. Critical Care 2013 17:R25 doi:10.1186/cc12503

Mechanisms for increased TIMP2/IGFBP7 Excretion in AKI ACM Johnson and RA Zager, J Am Soc Nephrol 29: 2157 2167, 2018

Why biomarkers have not been as robust as previously demonstrated? Early data from single center studies AKI was on the basis of elevations in serum creatinine, raises the issue of a flawed outcome variable (i.e. creatinine) to analyze the performance of novel biomarkers. Relatively homogenous population cardiac surgery. Young, healthy pediatric population vs older population with comorbidities Context specific cut points-thresholds vary depending on condition (septic vs nonseptic AKI)

L-FABP ng/ml 80 60 40 20 Urinary Biomarkers and Sepsis No Sepsis L-FABP Sepsis Affects Threshold Sepsis NGAL ng/ml 300 200 100 NGAL No Sepsis Sepsis 0 IL-18 0 Albumin 500 20 400 15 IL-18 pg/ml 300 200 100 0 Albumin mg/dl 10 5 0 Non-sepsis No AKI Non-sepsis AKI Sepsis No AKI Sepsis AKI K. Doi, E. Noiri et al Crit Care Med 39:2464, 2011

Future of Biomarkers

Emerging diagnostic and staging criteria for AKI STAGE 1 CURRENT AKIN CRITERIA Increased serum creatinine 0.3 mg dl or 150% 48 hours or urine output <0.5 ml kg h for > 6 hours, or decrease in mgfr by 33% + EMERGING CRITERIA STAGE 2 STAGE 3 Increased serum creatinine by 200% or urine output <0.5 ml kg h for > 12 hours, or decrease in mgfr by 50% Increased serum creatinine by 300% (or 4.0 mg dl with an acute increase of 0.5 mg dl) or urine output <0.3 ml kg h for > 24 hours or anuria for > 12 h or acute RRT, or decrease in mgfr by 66% ++ +++ Biomarkers positive Persistent and severe renal injury in whom rapid spontaneous recovery of renal function is improbable

Spectrum of AKI NO STRUCTURAL DAMAGE STRUCTURAL DAMAGE Subclinical AKI NO FUNCTIONAL CHANGE Crea (-) Biomarker (-) Crea (-) Biomarker (+) FUNCTIONAL CHANGE Crea (+) Biomarker (-) Crea (+) Biomarker (+) Dublin, Ireland, August 30th-September 1st, 2011

NGAL: Subclinical AKI & Clinical Outcomes 2,322 critically ill pts from 10 prospective observational NGAL studies Haase. JACC 2011;57:1752-1761

Percentage with Diagnosis Kidney biomarkers and differential diagnosis of patients with cirrhosis and acute kidney injury 0 1 2 3 4 Percentage with Diagnosis PRA HRS ATN J. Belcher, C. Parikh, et al. Hepatology, 60: 622-632, 26 JUN 2014

Biomarkers in Therapeutic Trial Design Assess Biomarker Biomarker - Biomarker + Randomize Off Study Treatment A Treatment B The biomarker is evaluated on all patients, but random assignment is restricted to patients with specific biomarker values

Timing in Secondary Prevention EarlyARF Study Double-blind placebo-controlled trial -early treatment with erythropoietin (E) could prevent the development of AKI in ICU setting. Urinary levels of two biomarkers, γ-gt and AP (46.3) triggered randomization to either placebo or two doses of E Primary outcome of relative average plasma creatinine increase from baseline over 4 to 7 days. Of 529 patients, 162 were randomized within an 3.5 h of a positive sample. Early intervention with high-dose erythropoietin did not alter the outcome. randomization Randomization Av 3.5 h Placebo or E 1 hr 12 hr 24 hr 7 d ZH Endre, et al,kidney Int. (2010) 77, 1020 1030

Kidney Disease: Improving Global Outcomes (KDIGO) guidelines for AKI Stage Based Management of AKI High Risk AKI Stage 1 AKI Stage 2 AKI Stage 3 Discontinue all nephrotoxic agents when possible Ensure volume status and perfusion pressure Consider functional hemodynamic monitoring Monitor serum creatinine and urine output Avoid hyperglycemia Consider alternatives to radiocontrast procedures Non-invasive diagnostic workup Consider invasive diagnostic workup Check for changes in drug dosing Consider Renal Replacement therapy Consider ICU admission Avoid subclavian catheters Kidney International Supplements (2012) 2, 19 36

Prevention of AKI in Cardiac Surgery in Biomarker +/ high risk patients KDIGO Bundle Single center trial patients undergoing cardiac surgery randomized 276 patients identified as high risk by urinary [TIMP-2] [IGFBP7] > 0.3 Implementing KDIGO bundle resulted in Hyperglycemia 33% ACEI/ARB use 64% Urine TIMP-2/IFGBP7 31% Implementation of KDIGO guidelines in high risk patients compared with standard care reduced the frequency and severity of AKI. M. Meersch A. Zarbock et al. Intens Care Med 43: 1551 1561, 2017 Kellum, J. A. Nat. Rev. Nephrol. Nature Reviews Nephrology 13, 140 141, 2017 Patients wiht AKI (%) 80 60 40 20 0 Control All AKI Moderate and Severe AKI * ** Intervention

Physiological Biomarkers of AKI Prior to cellular injury, alterations in the renal microcirculation and tissue oxygenation occur, rendering epithelial cells susceptible to injury. This represents an earlier phase of AKI that might help identify patients at risk, provide a window for therapeutic intervention to prevent AKI before cellular injury. Acute Dialysis Quality Initiative (ADQI) Consensus Conference on Acute Kidney Injury Biomarkers held in Dublin, Ireland, in August 2011

Hemodynamics Microvascular Blood Flow Tissue PO2 Courtesy of B. Molitoris Trzeciak S et al. Acad Emerg Med 2008; 15:399-413

Realtime GFR In vivo rapid detection and instantaneous calculation of GFR Portable analyzer developed for this purpose allowed point-of-care determination of GFR Ratiometric emission at 490nm and 590 nm. 2 compartment model. Within 60 min of administration of the fluorescent conjugates, Minimal adverse effects and excellent agreement with the 6-h iohexol-based GFR technique E. Wang G.J. Schwartz and B.A. Molitoris et al. Kidney int 81: 112-117, 2012

Utility of Physiological Markers in AKI Physiological Marker Risk Early Differential Prognosis Therapy Assessment Diagnosis Diagnosis Guidance Urine indices - - Serial Creatinine Real time measured GFR Continuous Urine flow? Doppler US? Contrast enhanced US? Urine po2?? Bladder po2? BOLD MRI??? PET??? Near infrared spectroscopy??? Bioimpedance - - M. D. Okusa et al. Contrib Nephrol. 2013;182:65-81.

AKI and Renal Functional Reserve AKI AKI AKI A. Sharma et al. Nephron Clin Pract 2014;127:94 100

AKI Biomarkers & Personalized Therapy Clinical Factors Physiological Biomarkers Novel Biomarkers Creatinine 100 At Risk Functional Initiation Extension Maintenance Repair 0GFR, % Micro- Macro Circulation Vasodilators, Antioxidants Perfusion Oxygenation Structural/Anatomic Hibernation Regeneration Vasomotor Nephropathy Early ATP Depl Endothelium Epithelium Antiinflammatory, Cell Cycle inhibitor Stem cells, Microvascular Injury Obstruction Inflammation Coagulation Time after Insult MD Okusa, B Jaber, P Doran J Duranteau, L Yang, C Ince The Acute Dialysis Quality Initiative (ADQI) Consensus Conference on Acute Kidney Injury Biomarkers held in Dublin, Ireland, in August 2011 Growth Factors, Stem Cells Dedifferentiation Migration Proliferation Redifferentiation Repolarization Late

AKI Phenotypes Acute Kidney Injury Phenotype 1 Phenotype 2 Phenotype 3 Phenotype 4 Phenotype 5 Therapy 1 Therapy 2 Therapy 3 Therapy 4 Therapy 5 AKI Phenotypes based on etiology, molecular pathways, and therapy Courtesy Chirag Parikh, Johns Hopkins U.

Overcoming Barriers in AKI Trials: Biomarkers ATI Stem Cells/ Repair Factors ATI Serum Creatinine Defined AKI ATI AIN Prerenal Laboratory Variability Obstructive Cytokines/ Eosinophils BNP AIN Steroids/ Immunosuppressive Therapy Natriuretic Peptides AIN Cardiorenal Cardiorenal Cardiorenal Prerenal Volume Repletion Prerenal Courtesy of Dr. Chirag Parikh, Yale U.

Overcoming Barriers in AKI Trials Mouse to Humans Biomarkers Functional Studies Biopsy Samples Genetic Samples Better Clinical Trial Design Kidney Precision Medicine Project (KPMP) M.J. Justice, P. Dhillon Disease Models & Mechanisms (2016) 9, 101-103 Physiologically Relevant Targets Good Animal Models Rigorously Conducted Preclinical Studies

One size does not fit all Use all current medical and biological knowledge to treat individuals as individuals Develop better biomarkers to guide medical care and therapy