Monitoring Biochemical Changes of Neuroblastoma Cells in Early Stages After X-Ray Exposure by Using Fourier-Transform
Rosario Esposito1, Marianna Portaccio2, Roberta Meschini3
1Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università di Napoli "Federico II", 80125 Napoli, Italy.
Sensors (Basel, Switzerland)
|December 17, 2024
Summary
Fourier-transform infrared microspectroscopy (μ-FTIR) monitors early cellular changes after X-ray radiation therapy. This study reveals crucial molecular shifts in neuroblastoma cells within hours post-irradiation, aiding treatment efficacy assessment.
Area of Science:
- Biomedical Optics
- Cellular Biology
- Medical Physics
Background:
- Radiotherapy commonly uses X-ray radiation treatments.
- Fourier-transform infrared microspectroscopy (μ-FTIR) is effective for monitoring radiotherapy effects.
- Previous studies focused on cellular changes hours or days after irradiation.
Purpose of the Study:
- To investigate early cellular changes in SH-SY5Y neuroblastoma cells within the first hours after X-ray irradiation using μ-FTIR.
- To analyze molecular alterations in lipids, proteins, and DNA during this understudied time window.
- To provide insights into timely radiotherapy efficacy assessment and personalized treatment planning.
Main Methods:
- SH-SY5Y neuroblastoma cells were exposed to X-ray radiation.
- Cell samples were collected immediately, 2 hours, and 4 hours post-irradiation, along with unexposed controls.
- μ-FTIR was employed to analyze spectral contributions of lipids, proteins, and DNA.
Main Results:
- Distinct spectral changes were observed in lipids, proteins, and DNA within hours of X-ray exposure.
- Analysis revealed early molecular responses to radiation in neuroblastoma cells.
- The study identified specific spectral signatures indicative of cellular response to radiation.
Conclusions:
- μ-FTIR can detect early molecular changes in cells following X-ray irradiation.
- Understanding these early changes is crucial for assessing radiotherapy efficacy.
- This approach has potential applications in personalized cancer treatment planning.


