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A Comprehensive Review of Advanced Biomarkers for Chronic Kidney Disease in Older Adults: Current Insights and Future Directions.

作者信息

Pradeep Utkarsh, Chiwhane Anjalee, Acharya Sourya, Daiya Varun, Kasat Paschyanti R, Sachani Pratiksha, Mapari Smruti A, Bedi Gautam N

机构信息

General Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

Radiodiagnosis, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

出版信息

Cureus. 2024 Sep 28;16(9):e70413. doi: 10.7759/cureus.70413. eCollection 2024 Sep.


DOI:10.7759/cureus.70413
PMID:39473640
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11519577/
Abstract

Chronic kidney disease (CKD) is a growing health concern, particularly in older adults, due to its high prevalence and association with increased morbidity and mortality. Early detection and effective management are crucial to slowing disease progression and reducing complications such as cardiovascular events and end-stage renal disease (ESRD). Traditional biomarkers, including serum creatinine and estimated glomerular filtration rate (eGFR), often have limitations in older populations, where age-related physiological changes can obscure early signs of kidney dysfunction. Advanced biomarkers offer a more precise and comprehensive understanding of kidney health, providing insights into pathological processes such as inflammation, fibrosis, oxidative stress, and tubular injury. These biomarkers have the potential to enhance early diagnosis, predict disease progression, and inform personalized treatment approaches, particularly in the elderly. This review explores the current landscape of advanced biomarkers for CKD in older adults, highlighting their clinical utility and limitations. Key biomarkers, including those related to inflammation (C-reactive protein, interleukin-6), fibrosis (transforming growth factor-beta, collagen degradation products), oxidative stress (F2-isoprostanes, malondialdehyde), and tubular injury (kidney injury molecule-1, neutrophil gelatinase-associated lipocalin), are examined in the context of CKD. Emerging technologies, such as multi-omics and machine learning, are also discussed as they offer new opportunities for biomarker discovery and integration into clinical practice. While challenges remain, including the need for longitudinal studies and better standardization, advanced biomarkers hold promise for transforming CKD management in older adults, paving the way for earlier detection, better risk stratification, and more targeted therapeutic interventions.

摘要

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引用本文的文献

[1]
Mitochondrial dysfunction: the hidden catalyst in chronic kidney disease progression.

Ren Fail. 2025-12

[2]
Emerging Biomarkers and Advanced Diagnostics in Chronic Kidney Disease: Early Detection Through Multi-Omics and AI.

Diagnostics (Basel). 2025-5-13

本文引用的文献

[1]
Integration of artificial intelligence and multi-omics in kidney diseases.

Fundam Res. 2022-3-16

[2]
Fibrosis in Chronic Kidney Disease: Pathophysiology and Therapeutic Targets.

J Clin Med. 2024-3-25

[3]
Application of Machine Learning in Chronic Kidney Disease: Current Status and Future Prospects.

Biomedicines. 2024-3-3

[4]
Application of CRISPR-Cas9 genome editing technology in various fields: A review.

Narra J. 2023-8

[5]
Validation of biomarkers of aging.

Nat Med. 2024-2

[6]
A Brief Review of Diagnostic Techniques and Clinical Management in Chronic Kidney Disease.

Cureus. 2023-11-18

[7]
Exploring Renal Function Assessment: Creatinine, Cystatin C, and Estimated Glomerular Filtration Rate Focused on the European Kidney Function Consortium Equation.

Ann Lab Med. 2024-3-1

[8]
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J Pers Med. 2023-10-16

[9]
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture.

Biology (Basel). 2023-9-30

[10]
The Bidirectional Link Between Diabetes and Kidney Disease: Mechanisms and Management.

Cureus. 2023-9-20

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