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.

Related Concept Videos

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
264
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
456
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
702