Visualization of the composition of the urinary fluorescent metabolome. Why is it important to consider initial urine concentration?

Dubayová, Katarı́na; Birková, Anna; Leso, Martin; Zilkova, Jaroslava; Karabinoš, Anton; Mareková, Mária; Stupák, Marek

doi:10.1088/2050-6120/ace512

Cited by 2 publications

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…13 Moreover, there are many substances in urine able to cause fluorescence under different circumstances, for example, individual condition and nutrition. 14 It has been shown that the metabolization of consumed over-the-counter (OTC) vitamin supplements showed the highest fluorescence values of the urine at 8−10 h after intake of the OTC. 15 Baseline levels were reached 24 h after intake.…”

Section: Introductionmentioning

confidence: 99%

Influence of vitamins and food on the fluorescence spectrum of human urine

Chalissery,

Homann,

Stepp

et al. 2024

Lasers Surg Med

View full text Add to dashboard Cite

ObjectivesFluorescence spectroscopy of human urine is a method with the potential to gain importance as a diagnostic tool in the medical field, e.g., for measuring Coproporphyrin III (CPIII) as an indicator of cancer and acute types of porphyria. Food can change human urine's color, which could influence the urine fluorescence spectrum and the detection of CPIII in urine. To determine if there is a noticeable influence on the urine fluorescence spectrum or on the detection of CPIII in urine, 16 vitamin supplements, and three food items were tested. Such investigation may also prevent false interpretation of measured data.MethodsUrine samples were collected before and after (overnight, ca. 8 h) intake of each test substance. Samples were investigated by fluorescence spectrum analysis. At excitation wavelengths from 300 to 500 nm and emission wavelengths from 400 to 700 nm excitation‐emission‐matrices were measured. Data obtained from urine before intake were compared to the data from overnight urine. Furthermore, the investigation of any interference with the CPIII concentration was performed at an excitation wavelength of 407 ± 3 nm and emission wavelengths of 490−800 nm.ResultsOnly vitamin B2, but none of the other tested substances, showed noticeable influence on the urine fluorescence spectrum. None of the tested substances showed noticeable interference with the recovery rate of CPIII.ConclusionsThe correct interpretation of measured data by fluorescence spectroscopy is possible with the exception if vitamin B2 supplementation was performed; thus, the consumption of vitamin B2 supplements before fluorescence testing of the patient's urine should be avoided and/or must be requested. CPIII concentrations could reliably be measured in all cases.

show abstract

Section: Introductionmentioning

confidence: 99%

Influence of vitamins and food on the fluorescence spectrum of human urine

Chalissery,

Homann,

Stepp

et al. 2024

Lasers Surg Med

View full text Add to dashboard Cite

show abstract

Non-Invasive Endometrial Cancer Screening through Urinary Fluorescent Metabolome Profile Monitoring and Machine Learning Algorithms

Švecová,

Dubayová,

Birková

et al. 2024

Cancers

View full text Add to dashboard Cite

Endometrial cancer is becoming increasingly common, highlighting the need for improved diagnostic methods that are both effective and non-invasive. This study investigates the use of urinary fluorescence spectroscopy as a potential diagnostic tool for endometrial cancer. Urine samples were collected from endometrial cancer patients (n = 77), patients with benign uterine tumors (n = 23), and control gynecological patients attending regular checkups or follow-ups (n = 96). These samples were analyzed using synchronous fluorescence spectroscopy to measure the total fluorescent metabolome profile, and specific fluorescence ratios were created to differentiate between control, benign, and malignant samples. These spectral markers demonstrated potential clinical applicability with AUC as high as 80%. Partial Least Squares Discriminant Analysis (PLS-DA) was employed to reduce data dimensionality and enhance class separation. Additionally, machine learning models, including Random Forest (RF), Logistic Regression (LR), Support Vector Machine (SVM), and Stochastic Gradient Descent (SGD), were utilized to distinguish between controls and endometrial cancer patients. PLS-DA achieved an overall accuracy of 79% and an AUC of 90%. These promising results indicate that urinary fluorescence spectroscopy, combined with advanced machine learning models, has the potential to revolutionize endometrial cancer diagnostics, offering a rapid, accurate, and non-invasive alternative to current methods.

show abstract

Visualization of the composition of the urinary fluorescent metabolome. Why is it important to consider initial urine concentration?

Cited by 2 publications

References 38 publications

Influence of vitamins and food on the fluorescence spectrum of human urine

Influence of vitamins and food on the fluorescence spectrum of human urine

Non-Invasive Endometrial Cancer Screening through Urinary Fluorescent Metabolome Profile Monitoring and Machine Learning Algorithms

Contact Info

Product

Resources

About