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Muglia L, Di Dio M, Filicetti E, Greco GI, Volpentesta M, Beccacece A, Fabbietti P, Lattanzio F, Corsonello A, Gembillo G, Santoro D, Soraci L. Biomarkers of chronic kidney disease in older individuals: navigating complexity in diagnosis. Front Med (Lausanne) 2024; 11:1397160. [PMID: 39055699 PMCID: PMC11269154 DOI: 10.3389/fmed.2024.1397160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 06/27/2024] [Indexed: 07/27/2024] Open
Abstract
Chronic kidney disease (CKD) in older individuals is a matter of growing concern in the field of public health across the globe. Indeed, prevalence of kidney function impairment increases with advancing age and is often exacerbated by age-induced modifications of kidney function, presence of chronic diseases such as diabetes, hypertension, and cardiovascular disorders, and increased burden related to frailty, cognitive impairment and sarcopenia. Accurate assessment of CKD in older individuals is crucial for timely intervention and management and relies heavily on biomarkers for disease diagnosis and monitoring. However, the interpretation of these biomarkers in older patients may be complex due to interplays between CKD, aging, chronic diseases and geriatric syndromes. Biomarkers such as serum creatinine, estimated glomerular filtration rate (eGFR), and albuminuria can be significantly altered by systemic inflammation, metabolic changes, and medication use commonly seen in this population. To overcome the limitations of traditional biomarkers, several innovative proteins have been investigated as potential, in this review we aimed at consolidating the existing data concerning the geriatric aspects of CKD, describing the challenges and considerations in using traditional and innovative biomarkers to assess CKD in older patients, highlighting the need for integration of the clinical context to improve biomarkers' accuracy.
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Affiliation(s)
- Lucia Muglia
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, Italian National Research Center on Aging (IRCCS INRCA), Ancona and Cosenza, Italy
| | - Michele Di Dio
- Unit of Urology, Department of Surgery, Annunziata Hospital, Cosenza, Italy
| | - Elvira Filicetti
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
| | - Giada Ida Greco
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
| | - Mara Volpentesta
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
| | - Alessia Beccacece
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, Italian National Research Center on Aging (IRCCS INRCA), Ancona and Cosenza, Italy
| | - Paolo Fabbietti
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, Italian National Research Center on Aging (IRCCS INRCA), Ancona and Cosenza, Italy
| | - Fabrizia Lattanzio
- Scientific Direction, Italian National Research Center on Aging (IRCCS INRCA), Ancona, Italy
| | - Andrea Corsonello
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, Italian National Research Center on Aging (IRCCS INRCA), Ancona and Cosenza, Italy
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
- Department of Pharmacy, Health and Nutritional Sciences, School of Medicine and Digital Technologies, University of Calabria, Arcavacata di Rende, Italy
| | - Guido Gembillo
- Unit of Nephrology and Dialysis, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Domenico Santoro
- Unit of Nephrology and Dialysis, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Luca Soraci
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
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Huang PY, Hsu BG, Wang CH, Tsai JP. The Prognostic Role of Serum β-Trace Protein Levels among Patients on Maintenance Hemodialysis. Diagnostics (Basel) 2024; 14:974. [PMID: 38786272 PMCID: PMC11119092 DOI: 10.3390/diagnostics14100974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/25/2024] Open
Abstract
Cardiovascular (CV) diseases are the most commonly encountered etiology of mortality in patients having kidney failure. β-Trace protein (BTP) is a biomarker of glomerular filtration function as well as a potential predictor of adverse CV outcomes. This study aimed to determine the prognostic value of BTP in patients on chronic hemodialysis (HD). A total of 96 patients undergoing HD were enrolled. Baseline variables were collected, and the patients were tracked for 3 years. Twenty-five patients died at 3 years. Those who experienced mortality were noted to have higher serum concentrations of BTP and a higher incidence of diabetes mellitus (DM). The area under the receiver operating characteristic curve for serum BTP distinguishing mortality from survival was 0.659 (95% confidence interval [CI], 0.555-0.752; p = 0.027). After the adjustment of variables potentially affecting survival rates, BTP levels above the median (adjusted hazard ratio [aHR]: 2.913, 95% CI, 1.256-6.754; p = 0.013), the presence of DM (aHR: 2.474, 95% CI, 1.041-5.875; p = 0.040), and low serum albumin (aHR: 0.298, 95% CI, 0.110-0.806; p = 0.017) independently correlated with survival in HD patients. Serum BTP is a novel biomarker for predicting overall outcomes in HD patients.
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Affiliation(s)
- Po-Yu Huang
- Division of Nephrology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan;
- Institute of Medical Sciences, Tzu Chi University, Hualien 97004, Taiwan
| | - Bang-Gee Hsu
- Division of Nephrology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97004, Taiwan; (B.-G.H.); (C.-H.W.)
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan
| | - Chih-Hsien Wang
- Division of Nephrology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97004, Taiwan; (B.-G.H.); (C.-H.W.)
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan
| | - Jen-Pi Tsai
- Division of Nephrology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan;
- School of Medicine, Tzu Chi University, Hualien 97004, Taiwan
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Vermassen T, Geboes K, Lumen N, Van Praet C, Rottey S, Delanghe J. Comparison of different estimated glomerular filtration rates for monitoring of kidney function in oncology patients. Clin Kidney J 2024; 17:sfae006. [PMID: 38288036 PMCID: PMC10823486 DOI: 10.1093/ckj/sfae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Indexed: 01/31/2024] Open
Abstract
Background Tyrosine kinase inhibitors (TKIs) are associated with kidney function deterioration. A shift is ongoing towards glomerular filtration rate (GFR) equations based on other protein markers, such as cystatin C (CSTC) and β-trace protein (BTP). We evaluated various GFR equations for monitoring of kidney function in actively treated oncology patients. Methods We monitored 110 patients receiving a TKI. Blood and urine were collected during therapy. Serum analysis included creatinine (Cr), CSTC and BTP; for consequent GFR determination. Urine was analysed for protein, albumin, immunoglobulin G, and α-1-microglobulin. A similar analysis was done in a patient subgroup receiving immune checkpoint inhibitors (ICI) as prior or subsequent line of therapy. Results Cr remained constant during TKI treatment (P = 0.7753), whereas a significant decrease in CSTC (from week 2 onward, P < 0.0001) and BTP (at weeks 2 and 4, P = 0.0100) were noticed. Consequently, GFR estimations, using CSTC and/or BTP as a biochemical parameter, showed an apparent increase in GFR, whereas this was not observed for Cr-related GFR estimations. As a result, the GFR gap (ΔGFR) was significantly different from week 2 onward between Cr-based and CSTC-based GFR and between BTP-based and CSTC-based GFR. Glomerular damage was noticed with significant increase in urine protein-to-creatinine ratio, albumin-to-creatinine ratio and immunoglobulin G (all P < 0.0001). No change in α-1-microglobulin was seen. ICI treatment had no effect on Cr (P = 0.2262), CSTC (P = 0.7341), and BTP concentrations (P = 0.3592). Conclusion GFR equations, in which CSTC is incorporated, fail to correctly estimate the GFR in oncology patients treated with TKIs. As TKI-treated patients show clear signs of glomerular injury, further assessment is needed on how to correctly monitor the kidney function in actively treated oncology patients.
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Affiliation(s)
- Tijl Vermassen
- Department of Medical Oncology, University Hospital Ghent, Ghent, Belgium
- Biomarkers in Cancer, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
| | - Karen Geboes
- Cancer Research Institute Ghent, Ghent, Belgium
- Digestive Oncology, Department of Gastroenterology, Ghent University Hospital, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Nicolaas Lumen
- Cancer Research Institute Ghent, Ghent, Belgium
- Department of Urology, University Hospital Ghent, Ghent, Belgium
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
| | - Charles Van Praet
- Cancer Research Institute Ghent, Ghent, Belgium
- Department of Urology, University Hospital Ghent, Ghent, Belgium
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
| | - Sylvie Rottey
- Department of Medical Oncology, University Hospital Ghent, Ghent, Belgium
- Biomarkers in Cancer, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent, Belgium
- Drug Research Unit Ghent, University Hospital Ghent, Ghent, Belgium
| | - Joris Delanghe
- Cancer Research Institute Ghent, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
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Nanoparticle-antibody conjugate-based immunoassays for detection of CKD-associated biomarkers. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
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Lafer I, Michaelis S, Schneider C, Baranyi A, Schnedl WJ, Holasek S, Zelzer S, Niedrist T, Meinitzer A, Enko D. Beta-trace protein concentrations at the blood-cerebrospinal fluid barrier - acute phase affects protein status. EXCLI JOURNAL 2021; 20:1446-1452. [PMID: 34737686 PMCID: PMC8564902 DOI: 10.17179/excli2021-4148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 08/31/2021] [Indexed: 11/10/2022]
Affiliation(s)
- Ingrid Lafer
- Department of Internal Medicine, General Hospital Hochsteiermark, Mürzzuschlag, Austria
| | - Simon Michaelis
- Institute of Clinical Chemistry and Laboratory Medicine, General Hospital Hochsteiermark, Leoben, Austria
| | - Christopher Schneider
- Institute of Clinical Chemistry and Laboratory Medicine, General Hospital Hochsteiermark, Leoben, Austria
| | - Andreas Baranyi
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | | | - Sandra Holasek
- Department of Immunology and Pathophysiology, Medical University of Graz, Otto Loewi Research Center, Graz, Austria
| | - Sieglinde Zelzer
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Tobias Niedrist
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Andreas Meinitzer
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Dietmar Enko
- Institute of Clinical Chemistry and Laboratory Medicine, General Hospital Hochsteiermark, Leoben, Austria.,Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
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