Despite the fact that is documented to be the main cause of human candidiasis, non- (NCAC) species, such as and , are also suggested to be implicated in the etiopathogenesis of opportunistic fungal infections. As biology, epidemiology, pathogenicity, and antifungal resistance of NCAC species may be affected as a result of genomic diversity and plasticity, rapid and unambiguous identification of species in clinical samples is essential for proper diagnosis and therapy. In the present study, 25 clinical isolates of , , and species were characterized in terms of their karyotype patterns, DNA content, and biochemical features. Fourier transform infrared (FTIR) spectra- and Raman spectra-based molecular fingerprints corresponded to the diversity of chromosomal traits and DNA levels that provided correct species identification. Moreover, Raman spectroscopy was documented to be useful for the evaluation of ergosterol content that may be associated with azole resistance. Taken together, we found that vibrational spectroscopy-based biochemical profiling reflects the variability of chromosome patterns and DNA content of clinical species isolates and may facilitate the diagnosis and targeted therapy of candidiasis.
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http://dx.doi.org/10.3390/ijms20040988 | DOI Listing |
Int J Mol Sci
November 2024
Division of Child Neurology and Metabolic Medicine, Department of Pediatrics I, Center for Pediatrics and Adolescent Medicine, Medical Faculty Heidelberg, University Hospital Heidelberg, Heidelberg University, 69120 Heidelberg, Germany.
This study explores the potential of H-NMR spectroscopy-based metabolic profiling in various biofluids as a diagnostic and predictive modality to assess disease severity in individuals with 5q spinal muscular atrophy. A total of 213 biosamples (urine, plasma, and CSF) from 153 treatment-naïve patients with SMA across five German centers were analyzed using H-NMR spectroscopy. Prediction models were developed using machine learning algorithms which enabled the patients with SMA to be grouped according to disease severity.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
Department of Mechanical Engineering, Karamanoglu Mehmetbey University, Karaman 70200, Turkey; Department of Bioengineering, Karamanoglu Mehmetbey University, Karaman 70200, Turkey; Faculty of Medicine, Department of Biophysics, Karamanoglu Mehmetbey University, Karaman 70200, Turkey; Department of Orthopedic Surgery, Harvard Medical School, Boston, MA 020115, USA; The Center for Advanced Orthopedic Studies, BIDMC, Boston, MA 020115, USA. Electronic address:
This study presents a novel methodology for optimizing the number of Raman spectra required per sample for human bone compositional analysis. The methodology integrates Artificial Neural Network (ANN) and Monte Carlo Simulation (MCS). We demonstrate the robustness of ANN in enabling prediction of Raman spectroscopy-based bone quality properties even with limited spectral inputs.
View Article and Find Full Text PDFClin Nutr
September 2024
Epidemiology Unit (EPIUnit), Public Health Institute (ISPUP), University of Porto, Porto, Portugal; Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal; Faculty of Nutrition and Food Sciences (FCNAUP), University of Porto, Porto, Portugal. Electronic address:
Background And Aims: Healthy dietary patterns and exercise practices have been associated with improved metabolic and inflammatory profiles. However, studies regarding the combined effect of these interventions on plasma biomarkers and metabolome in older adults are sparser. The primary aim of this study was to investigate the impact of a combined Mediterranean Diet-based Sustainable Healthy Diet (SHD) and Multicomponent Training (MT) intervention on the plasma biomarkers and metabolome and how dietary intake and exercise could modulate these effects.
View Article and Find Full Text PDFIndian J Clin Biochem
July 2024
Transcription Regulation Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110067 India.
Cells
November 2023
Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Traumatic brain injury (TBI) affects millions of people of all ages around the globe. TBI is notoriously hard to diagnose at the point of care, resulting in incorrect patient management, avoidable death and disability, long-term neurodegenerative complications, and increased costs. It is vital to develop timely, alternative diagnostics for TBI to assist triage and clinical decision-making, complementary to current techniques such as neuroimaging and cognitive assessment.
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