Analysis of protein glycation in human fingernail clippings with near-infrared (NIR) spectroscopy as an alternative technique for the diagnosis of diabetes mellitus

BACKGROUND: Glycated keratin allows the monitoring of average tissue glucose exposure over previous weeks. In the present study, we wanted to explore if near-infrared (NIR) spectroscopy could be used as a non-invasive diagnostic tool for assessing glycation in diabetes mellitus. METHODS: A total of 52 patients with diabetes mellitus and 107 healthy subjects were enrolled in this study. A limited number (n=21) of nails of healthy subjects were glycated in vitro with 0.278 mol/L, 0.556 mol/L and 0.833 mol/L glucose solution to study the effect of glucose on the nail spectrum. Consequently, the nail clippings of the patients were analyzed using a Thermo Fisher Antaris II Near-IR Analyzer Spectrometer and near infrared (NIR) chemical imaging. Spectral classification (patients with diabetes mellitus vs. healthy subjects) was performed using partial least square discriminant analysis (PLS-DA). RESULTS: In vitro glycation resulted in peak sharpening between 4300 and 4400 cm-1 and spectral variations at 5270 cm-1 and between 6600 and 7500 cm-1. Similar regions encountered spectral deviations during analysis of the patients' nails. Optimization of the spectral collection parameters was necessary in order to distinguish a large dataset. Spectra had to be collected at 16 cm-1, 128 scans, region 4000-7500 cm-1. Using standard normal variate, Savitsky-Golay smoothing (7 points) and first derivative preprocessing allowed for the prediction of the test set with 100% correct assignments utilizing a PLS-DA model. CONCLUSIONS: Analysis of protein glycation in human fingernail clippings with NIR spectroscopy could be an alternative affordable technique for the diagnosis of diabetes mellitus

Thrombin generation measured by two platforms in patients with a bleeding tendency

Background Mild to moderate bleeding disorders are a diagnostic challenge. Many patients remain undiagnosed despite thorough and repeated laboratory testing. Thrombin generation (TG) is an overall assay measuring the functionality of the hemostatic system and may be a useful tool in diagnosing patients with bleeding tendency. Objectives We examined the added value of TG in patients with mild bleeding tendency with and without diagnosis after classical laboratory testing. Further, we investigated the role of different expressions of results, between-method variation, and reference ranges. Methods TG of patients and controls was measured in parallel by two TG platforms (ST Genesia and calibrated automated thrombogram [CAT]). All TG parameters in patient and control groups were compared by statistical analysis (Mann-Whitney U tests) including visual representation with box-and-whisker plots. Results were expressed as normalized ratios (ST Genesia and CAT) or corrected values (ST Genesia). Reference intervals were calculated to which patient results were compared. We studied lot-to-lot reagent variability for both platforms. Results In 62.7% (ST Genesia) to 69.5% (CAT) of patients undiagnosed with a traditional laboratory work-up, abnormal TG parameters (lag time and endogenous thrombin potential expressed as normalized ratio and/or corrected value) were detected. In the group of previously diagnosed patients, abnormal parameters were found in 58.1% of patients for both TG assays. No relevant lot-to-lot reagent variability was observed. Conclusions Adding TG helps with diagnosing patients with mild bleeding disorder. TG seems a promising tool in diagnosis of bleeding tendency, but further evaluation is necessary before application in diagnostic laboratory testing

Infrared analysis of lipoproteins in the detection of alcohol biomarkers

Background: Alcoholism is a major public health problem. Alcohol causes modifications in the composition and concentration of lipoproteins and influences the enzymes and transfer proteins that transform lipoproteins in plasma. Alcohol is associated with the presence of alcohol biomarkers (fatty acid ethyl esters [FAEEs] and phosphatidylethanol [PEth]) in lipoproteins. We explore the possibilities of detecting alcohol biomarkers in non-high-density-lipoproteins (non-HDLs) precipitated from serum using attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR). Methods: Analyzes were carried out on stored serum samples, with known % carbohydrate-deficient transferrin (CDT) values, included in a driver's license regranting program under the control of the Belgian Institute of Road Safety. The study consisted of 127 control samples (CDT 1.3%). Liver enzymes, CRP, triglycerides, total, HDL- and LDL-cholesterol values were determined. Non-HDLs were precipitated with sodium phosphotungstate and MgCl2 and analyzed using ATR-FTIR in the range from 4500 cm(-1) to 450 cm(-1) using a Perkin Elmer ATR-FTIR Spectrometer Two. Results: The area under the curve of the 1130-990 cm(-1) region (AUC(1130-990 cm-1)) was able to discriminate controls from alcoholics (p < 0.0001) due to the presence of FAEEs in lipoproteins. Multiple regression analysis significantly predicted the AUC(1130-990 cm-1) (adj. r(2) = 0.13, p < 0.0001). Significant correlations were found between AUC(1130-990 cm-1) and CDT values (r = 0.32, p < 0.0001), AST/ALT ratio (r = 0.21, p = 0.001). GGT showed no significant correlation. Conclusions: Infrared analysis of lipoproteins is a potential tool in the detection of alcohol biomarkers