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Review

An overview of circulating and urinary biomarkers capable of predicting the transition of acute kidney injury to chronic kidney disease

, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Received 15 Apr 2024, Accepted 09 Jul 2024, Published online: 15 Jul 2024
 

ABSTRACT

Introduction

Acute kidney injury (AKI) defined by a substantial decrease in kidney function within hours to days and is often irreversible with higher risk to chronic kidney disease (CKD) transition.

Areas covered

The authors discuss the diagnostic and predictive utilities of serum and urinary biomarkers on AKI and on the risk of AKI-to-CKD progression. The authors focus on the relevant literature covering evidence of circulating and urinary biomarkers’ capability to predict the transition of AKI to CKD.

Expert opinion

Based on the different modalities of serum and urinary biomarkers, multiple biomarker panel seems to be potentially useful to distinguish between various types of AKI, to detect the severity and the risk of AKI progression, to predict the clinical outcome and evaluate response to the therapy. Serum/urinary neutrophil gelatinase-associated lipocalin (NGAL), serum/urinary uromodulin, serum extracellular high mobility group box-1 (HMGB-1), serum cystatin C and urinary liver-type fatty acid-binding protein (L-FABP) were the most effective in the prediction of AKI-to-CKD transition regardless of etiology and the presence of critical state in patients. The current clinical evidence on the risk assessments of AKI progression is mainly based on the utility of combination of functional, injury and stress biomarkers, mainly NGAL, L-FABP, HMGB-1 and cystatin C.

Article highlights

  • Evaluation of serum levels of creatinine, estimated glomerular filtration rate and detection of proteinuria/albuminuria demonstrate a delay in the detection of acute kidney injury at the early stage.

  • Stress biomarkers, such as TIMP-2 and IGFBP7, after acute kidney injury can predict clinical outcomes and improve risk stratification in critically ill patients at early stage of the disease.

  • Functional biomarkers mainly cystatin C demonstrate positive associated with the staging of acute kidney injury.

  • Assessment of the risk of acute kidney injury progression and mortality is mainly based on the combination of serum/urinary biomarkers of functional abnormality and damage.

  • Serum/urinary NGAL, L-FABP, HMGB-1 and cystatin C exhibit the best diagnostic and predictive potency for acute kidney injury progression.

Abbreviations

ACC=

American College of Cardiology

AGEs=

Advanced glycation end products

AHA=

American Heart Association

AKI=

Acute kidney injury

CKD=

Chronic kidney disease

CMPs=

Cardiomyopathies

CV=

Cardiovascular

CVD=

Cardiovascular disease

DM=

Diabetes mellitus

Erk1/2=

Extracellular signal-regulated kinase 2

ESC=

European Society of Cardiology

FGF-23=

Fibroblast growth factor-23

GFR=

Glomerular filtration rate

HF=

Heart failure

HMGB-1,=

Extracellular high mobility group box-1

ICU=

Intensive care unit

IL=

Interleukin

JNK=

C-Junus N terminal kinase

KIM-1=

Kidney injury molecule-1

NGAL=

Neutrophil gelatinase-associated lipocalin

NSAID=

Non-steroid anti-inflammatory drugs

PAD=

Peripheral artery disease

PCT=

Polychemotherapy

PENK=

Proenkephalin

PI3K=

Insulin-dependent phosphatidylinositol 3-kinase

PPRA=

Peroxisome proliferator-activated receptor

RAAS=

Renin–angiotensin–aldosterone system

TGF-β1=

Transforming growth factor beta 1

TNF-α=

Tumor necrosis factor-alpha

UMOD=

Uromodulin

Declaration of interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Additional information

Funding

This paper was not funded.

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