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Raman Spectroscopy Diagnosis of Kidney Diseases

NCT06760845 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2025-01-07

No results posted yet for this study

Summary

This research plan, from January 2021 to December 2024, aims to collect serum and morning urine from patients diagnosed with IgA nephropathy, idiopathic membranous nephropathy, diabetic nephropathy, and focal segmental glomerulosclerosis the Nephrology Department of Qianfoshan Hospital in Shandong Province, through renal biopsy. These samples will be scanned using a Raman spect to obtain Raman spectral data. The scattering peaks in the Raman spectra will be analyzed using Origin software for Gaussian curve fitting. The position of the peaks will used to query relevant literature to identify the corresponding chemical bonds and confirm the presence of compounds.

The intensity and area of the chemical substance peaks in the Raman will be calculated and used to plot calibration curves, thereby establishing a quantitative analysis equation. This equation will be used to accurately calculate the concentration of each analyte in serum and urine samples. Based on the average concentration data for each patient group, multivariate analysis methods, such as principal component analysis (PCA) and Mahalanis distance discriminant model, will be used to classify and predict the disease types.

The preliminary data for this study comes from the Nephrology Department ofianfoshan Hospital, where different types of glomerular diseases have been pathologically classified using tools such as light microscopy, electron microscopy, and immunoforescence microscopy. By combining Raman spectroscopy technology and statistical analysis, this study aims to establish a non-invasive and efficient diagnostic tool to assist in the of kidney diseases and predict treatment outcomes.

Conditions

  • IgA Nephropathy (IgAN)
  • Membranous Nephropathy
  • Diabetic Nephropathy
  • Focal Segmental Glomerulosclerosis (FSGS)

Interventions

DIAGNOSTIC_TEST

Imaging Time

Raman spectroscopy images of blood and urine

Sponsors & Collaborators

  • Zunsong Wang

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-02-01
Primary Completion
2025-07-31
Completion
2025-07-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06760845 on ClinicalTrials.gov