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Published on: January 21, 2015
Identification of molecular biomarkers in human serum for chronic kidney disease using attenuated total
Kamonchanok Tangwanichgapong1, Poramaporn Klanrit2, Patutong Chatchawal3
1Division of Periodontology, Department of Oral Biomedical Sciences, Faculty of Dentistry, Khon Kaen University, Khon Kaen 40002, Thailand; Research Group of Chronic Inflammatory Oral Diseases and Systemic Diseases Associated with Oral Health, Department of Oral Biomedical Sciences, Faculty of Dentistry, Khon Kaen University, Khon Kaen 40002, Thailand.
Insights
Attenuated Total Reflectance Fourier-Transform Infrared (ATR-FTIR) spectroscopy can rapidly screen for chronic kidney disease (CKD) by analyzing serum spectral profiles. This method effectively distinguishes patients with end-stage renal disease (ESRD) from healthy individuals, identifying key biochemical markers.
Area of Science:
- Biochemistry
- Medical Diagnostics
- Spectroscopy
Background:
- Chronic kidney disease (CKD) and end-stage renal disease (ESRD) are major global health concerns with significant morbidity and mortality.
- Serum analysis using Attenuated Total Reflectance Fourier-Transform Infrared (ATR-FTIR) spectroscopy shows potential for CKD diagnosis, but research is limited.
Purpose of the Study:
- To explore and compare serum spectral profiles of hemodialysis patients (ESRD) and healthy controls using ATR-FTIR spectroscopy.
- To evaluate the efficacy of multivariate analysis techniques, including Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA), in distinguishing between ESRD and control groups based on spectral data.
Main Methods:
- Serum samples from 21 hemodialysis patients and 21 age/sex-matched healthy controls were analyzed using ATR-FTIR spectroscopy in the mid-infrared region (4000-400 cm⁻¹).
- Multivariate statistical methods (PCA and PLS-DA) were employed to analyze spectral data and identify distinguishing features.
- Classification performance was assessed using accuracy, sensitivity, and specificity metrics.
Main Results:
- ATR-FTIR spectroscopy revealed elevated spectral intensity in ESRD serum samples compared to controls.
- PCA successfully differentiated ESRD from control samples across specific spectral regions.
- PLS-DA achieved perfect classification (100% accuracy, sensitivity, and specificity), particularly with combined spectral regions, highlighting significant alterations in lipids, proteins (amide I/II bands), carbohydrates, nucleic acids, and immunoglobulins in ESRD patients.
Conclusions:
- ATR-FTIR spectroscopy combined with multivariate analysis is a rapid, cost-effective, and highly accurate screening tool for detecting ESRD.
- The study identified specific spectral biomarkers indicative of biochemical changes associated with CKD pathophysiology.
- This approach offers valuable insights into disease-related molecular alterations and contributes to the limited research in spectroscopic diagnostics for CKD.
Abstract:
Chronic kidney disease (CKD) and its progression to end-stage renal disease (ESRD) represent significant global health challenges, contributing to increased morbidity and mortality. Despite the potential diagnostic value of ATR-FTIR spectroscopic analysis of serum in CKD, research in this area remains limited. This study addressed this gap by aiming to explore the spectral profiles of sera obtained from hemodialysis patients and healthy controls. We investigated serum spectral profiles from 21 hemodialysis patients and 21 age/sex-matched controls using ATR-FTIR spectroscopy in the mid-infrared region (4000-400 cm-1). Spectroscopic analysis revealed elevated spectral intensity in ESRD samples compared to controls. Principal Component Analysis (PCA) successfully distinguished ESRD from control samples across multiple spectral regions (1480-900 cm-1, 1800-900 cm-1, and combined 3000-2800/1800-900 cm-1). Partial Least Squares Discriminant Analysis (PLS-DA) demonstrated enhanced group separation, with the optimized PLS model achieving perfect classification metrics (100% accuracy, sensitivity, and specificity). The combined spectral region models exhibited superior diagnostic performance compared to other regions. The analysis identified key molecular biomarkers associated with ESRD, including alterations in lipids, protein structures (represented by amide I and II bands), carbohydrates, nucleic acids, and immunoglobulins, which correlate with known biochemical changes in CKD pathophysiology. These findings demonstrate that ATR-FTIR spectroscopy with multivariate analysis is a rapid, cost-effective screening tool for CKD. The identified spectral biomarkers provide insights into disease-related biochemical alterations, adding valuable data to the research in this field.
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