Advances in the Diagnosis and Management of Kidney Diseases—2nd Edition

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 632

Special Issue Editor


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Guest Editor
Department of Nephrology, School of Medicine, Chungnam National University, Daejeon 35015, Republic of Korea
Interests: hemodialysis; clinical nephrology; dialysis; chronic renal failure; kidney transplantation; acute kidney injury; hypertension; nephrotoxicity; chronic kidney failure; kidney
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Special Issue Information

Dear Colleagues,

We want to thank all our colleagues who contributed high-quality manuscripts to the previous Special Issue, titled “Advances in the Diagnosis and Management of Kidney Diseases”. The positive feedback and interest that we received encouraged us to launch a second volume, which focuses on the diagnosis of kidney diseases. 

Kidney disease appears in various forms: it can be asymptomatic or present with severe symptoms that require immediate intensive care with renal replacement therapy. Various kidney diseases can be evaluated through urinalysis, blood chemistry, chest PA, KUB, and renal sonography. Recently, research has been actively conducted on various types of biomarkers for the early detection of acute and chronic kidney damage; moreover, the discovery of new biomarkers through blood and pathology in the field of glomerular kidney disease has led to new diagnostic and management paradigms. Recently, rapidly developing medical diagnostic technology and the challenge of specialized targeted therapy based on disease mechanisms have been demonstrated through animal and clinical studies of kidney disease. 

This Special Issue seeks research on new discoveries in the diagnosis and management of kidney disease. We look forward to receiving original articles, reviews, and short communications that highlight research results for biomarkers in various fields, enhanced imaging technology, new pathologic diagnoses, new approaches to disease mechanisms, specialized targeted therapy, and the diagnosis and management of kidney diseases using artificial intelligence.

Dr. Daeeun Choi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • kidney
  • nephrology
  • biomarker
  • prognosis
  • imaging
  • artificial intelligence
  • pathology

Published Papers (1 paper)

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Review

20 pages, 642 KiB  
Review
Tissue Inhibitor of Metalloproteinases-2 (TIMP-2) as a Prognostic Biomarker in Acute Kidney Injury: A Narrative Review
by Charlotte Delrue and Marijn M. Speeckaert
Diagnostics 2024, 14(13), 1350; https://doi.org/10.3390/diagnostics14131350 - 25 Jun 2024
Viewed by 537
Abstract
Acute kidney damage (AKI) is a serious and common consequence among critically unwell individuals. Traditional biomarkers, such as serum creatinine, frequently fail to detect AKI in its early stages, necessitating the development of new accurate early biomarkers. Tissue inhibitor of metalloproteinases 2 (TIMP-2) [...] Read more.
Acute kidney damage (AKI) is a serious and common consequence among critically unwell individuals. Traditional biomarkers, such as serum creatinine, frequently fail to detect AKI in its early stages, necessitating the development of new accurate early biomarkers. Tissue inhibitor of metalloproteinases 2 (TIMP-2) has emerged as a promising biomarker for predicting early AKI. The present narrative review investigates the role of TIMP-2 in AKI prediction in a variety of clinical scenarios. In the NephroCheck® test, TIMP-2 exceeds established biomarkers for the early identification of AKI in terms of sensitivity and specificity when combined with insulin-like growth factor-binding protein 7 (IGFBP-7). Elevated levels of these biomarkers can provide a warning signal for AKI two to three days before clinical symptoms appear. TIMP-2 and IGFBP-7 have high predictive values, with an area under the curve (AUC) typically above 0.8, indicating good predictive capacity. For example, the [TIMP-2] × [IGFBP-7] product produced an AUC of 0.85 in surgical patients at high risk. In critically ill patients, a threshold of 0.3 (ng/mL)2/1000 demonstrated 92% sensitivity and 72% specificity. Elevated TIMP-2 levels have been correlated with higher mortality rates and the need for renal replacement therapy (RRT). In sepsis-associated AKI (SA-AKI), TIMP-2 levels combined with clinical prognostic models improved predictive accuracy (AUC: 0.822). Furthermore, elevated urine TIMP-2 levels were good predictors of AKI in pediatric patients after cardiac surgery, with AUC-ROC values of up to 0.848. Urine output and the presence of concomitant disorders may influence the prognostic accuracy of these biomarkers; therefore, more research is needed to fully understand their utility. The predictive value of TIMP-2 could be strengthened by combining it with other clinical parameters, reinforcing its role in the early detection and treatment of AKI. Full article
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