Fourier transform infrared microspectroscopy (FTIR-MSP) is potentially a powerful analytical method for identifying the spectral properties of biological activity in cells. The goal of the present research is the implementation of FTIR-MSP to study early spectral changes accompanying malignant transformation of cells. As a model system, cells in culture are infected by the murine sarcoma virus (MuSV), which induces malignant transformation. The spectral measurements are taken at various postinfection time intervals. To follow up systematically the progress of the spectral changes at early stages of cell transformation, it is essential first to determine and validate consistent and significant spectral parameters (biomarkers), which can evidently discriminate between normal and cancerous cells. Early stages of cell transformation are classified by an array of spectral biomarkers utilizing cluster analysis and discriminant classification function techniques. The classifications indicate that the first spectral changes are detectable much earlier than the first morphological signs of cell transformation. Our results point out that the first spectral signs of malignant transformation are observed on the first and third day of postinfection (PI) (for NIH/3T3 and MEF cell cultures, respectively), while the first visible morphological alterations are observed only on the third and seventh day, respectively. These results strongly support the potential of developing FTIR microspectroscopy as a simple, reagent-free method for early detection of malignancy.
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http://dx.doi.org/10.1117/1.2717186 | DOI Listing |
Biol Psychiatry Cogn Neurosci Neuroimaging
January 2025
School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China; Guangdong Province Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan. Electronic address:
Background: The detection of abnormal brain activity plays an important role in the early diagnosis and treatment of major depressive disorder (MDD). Recent studies have shown that the decomposition of the electroencephalography (EEG) spectrum into periodic and aperiodic components is useful for identifying the drivers of electrophysiologic abnormalities and avoiding individual differences.
Methods: This study aimed to elucidate the pathologic changes in individualized periodic and aperiodic activities and their relationships with the symptoms of MDD.
Sci Rep
January 2025
Centre for Earthquake Studies, National Centre for Physics, Islamabad, 44000, Pakistan.
Ambient noise cross-correlation has been widely used to observe post-earthquake temporal velocity variations. Comparative studies are essential for assessing seismic hazards and clarifying the relationship between velocity variation and magnitude. However, very few comparative studies by earthquake magnitude have been conducted, particularly for magnitudes smaller than 6.
View Article and Find Full Text PDFAnal Chem
January 2025
College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun 130012, China.
Vanin-1 is a pantetheine hydrolase that plays a key role in inflammatory diseases. Effective tools for noninvasive, real-time monitoring of Vanin-1 are lacking, largely due to background fluorescence interference in existing probes. To address this issue, we developed a dual-modal fluorescent and colorimetric probe, MB-Van1, to detect Vanin-1 with high sensitivity and selectivity.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Clinical Neurophysiology and MEG Center, Neurology, De Boelelaan 1117, Amsterdam, Netherlands.
Background: An early disruption in excitation-inhibition (E-I) balance is believed to underlie abnormal local and global network dynamics in Alzheimer's disease (AD). While prior studies proposed that changes in E-I balance may underlie the established slowing of oscillatory activity and changes in functional connectivity in symptomatic AD, the specific alterations occurring in the presymptomatic stage of AD remain poorly understood. This study aims to identify local and global spectral power and functional connectivity changes in individuals with familial AD before the onset of clinical symptoms.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Federal Center of Brain and Neurotechnologies, FMBA of Russia, Moscow, Russian Federation.
Background: The priority problem of modern healthcare is irreversible dementia due to the steady increase in morbidity. Among irreversible dementias, Alzheimer's disease takes the first place. Most often, only with sufficiently pronounced cognitive disorders, the doctor can diagnose Alzheimer's disease, although it is obvious that the neurodegenerative process begins even before the clinical manifestations of the disease.
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