Search
Close this search box.

Investigating Emerging Biomarkers to Detect CKD at its Earliest Stages for Timely Intervention and Management

1 Ayesha Bano, 2 Mohib Ali, 3 Fazal Mohammad, 4Hasan Raza, 5 Mobeen Ali

1 PIMS

2 PIMS

3 3Baluchistan Institute of Nephro Urology Quetta

4 PIMS

5 PIMS

ABSTRACT:

Background: Chronic Kidney Disease (CKD) is a significant global health issue with rising prevalence rates and substantial morbidity and mortality burdens. Early detection and intervention are pivotal in mitigating its progression and associated complications. Traditional biomarkers, while informative, may lack sensitivity in detecting CKD at its earliest stages. Therefore, exploring emerging biomarkers holds promise for enhancing early detection strategies and improving patient outcomes.

Aim: This study aimed to investigate emerging biomarkers for the early detection of Chronic Kidney Disease (CKD), with a focus on identifying markers that could detect CKD at its earliest stages, facilitating timely intervention and management.

Methods:

Ninety participants were recruited for this prospective cohort study, spanning from April 2023 to March 2024. Inclusion criteria comprised individuals at risk for CKD or with suspected early-stage CKD. Baseline demographic and clinical data were collected, including age, gender, comorbidities, and renal function parameters. Blood and urine samples were obtained from participants for biomarker analysis, utilizing state-of-the-art techniques such as proteomics, metabolomics, and genomics. Follow-up assessments were conducted at regular intervals to monitor disease progression and evaluate the predictive value of identified biomarkers.

Results: The study identified several promising biomarkers with potential utility in the early detection of CKD. Analysis revealed significant correlations between certain biomarkers and early-stage CKD, suggesting their role as sensitive indicators of renal dysfunction. Additionally, predictive models incorporating these biomarkers demonstrated improved accuracy in identifying individuals at risk for CKD progression. Furthermore, longitudinal analysis highlighted the dynamic nature of these biomarkers, underscoring their value in monitoring disease trajectory over time.

Conclusion: Our findings underscore the importance of investigating emerging biomarkers for the early detection of chronic kidney disease. The identification of sensitive and specific biomarkers holds immense potential for facilitating timely intervention and improving outcomes in individuals at risk for or diagnosed with CKD. Continued research in this field is warranted to further validate these findings and translate them into clinical practice, ultimately enhancing the management of CKD on a global scale.

Keywords: Chronic Kidney Disease, Emerging Biomarkers, Early Detection, Intervention, Management.

Scroll to Top