RametrixTM

RametrixTM performs Raman chemometric analysis of urine spectra to define normative spectral ranges and detect deviations associated with kidney and urinary tract diseases.

Key Features:

• Raman Spectroscopy: Acquisition of urine Raman spectra to capture molecular vibrational signatures from urine specimens.
• Principal Component Analysis (PCA): Dimensionality reduction of Raman spectral data to highlight variance associated with metabolites such as urea, creatinine, and glucose.
• Discriminant Analysis of Principal Components (DAPC): Classification of urine samples and construction of predictive models for donor characteristics.
• Multivariate Statistical Analysis: Statistical exploration of relationships within spectral datasets to assess factors influencing Raman signatures.

Scientific Applications:

• Establishing Normative Spectral Ranges: Definition of a "range of normal" for urine Raman spectra using 235 urine samples from healthy individuals.
• Predictive Modeling and Classification: Prediction of donor sex with reported 71% overall accuracy using DAPC models and blind leave-one-out build/test routines.
• Donor Identification: Association of urine specimens with individual donors with an average reported accuracy of 78%.
• Assessing Biological Variable Effects: Evaluation of effects on Raman spectra with reported significance for age (p < 0.001), marginal effect for sex (p = 0.0526), and no significant effect for menstrual cycle (p = 0.695).

Methodology:

Raman spectral acquisition followed by Principal Component Analysis (PCA), Discriminant Analysis of Principal Components (DAPC), multivariate statistical analyses, and blind leave-one-out build/test routines.