A Preliminary Evaluation of Glial Cell Line-Derived Neurotrophic Factor (GDNF) Levels In Cerebrospinal Fluid across Various Gestational Ages and Clinical Conditions of the Neonate

BACKGROUND: This study aims to investigate glial cell derived neurotrophic factor (GDNF) levels in newborns\u27 umbilical cord blood and cerebrospinal fluid across various perinatal growth parameters and clinical conditions. METHODS: Cord blood from 20 newborns and 58 residual CSF samples (stored after completion of clinical testing) were collected. GDNF levels were determined using GDNF ELISA kits from R&D Systems in triplicates with appropriate controls to eliminate background. RESULTS: Cord blood GDNF levels were significantly higher (p=0.004) in preterm newborns (n=6) (115.05±57.17,pg/ml) when compared to term newborns (n=14) (19.67±10.67,pg/ml). GDNF levels in CSF trended (p=0.07) higher in term newborns (n=10) (19.56±9.11,pg/ml) when compared to preterm newborns at term or post term corrected gestational ages (n=5) (14.49±3.53,pg/ml). CONCLUSIONS: GDNF levels in preterm newborns were higher in cord blood and lower in CSF as compared to term newborns. It is important to further study circulating and CSF-GDNF levels in newborns at different gestational ages and clinical conditions

Use of Raman spectroscopy to decrease time for identifying the species of Candida growth in cultures

BACKGROUND: The objective of this study is to establish Raman signatures from pure cultures of different Candida species using Raman Spectroscopy (RS) and use these signatures for rapid identification of unknown Candida species. METHODS: Pure cultures of five Candida species were evaluated using RS to build a limited signature library. \u27Raman Processing\u27 (RP) software was used for Principal Component Analysis (PCA) and Differential Functional Analysis (DFA). RESULTS: Eleven principal components described at least 95% variance in the spectra. Raman signatures from these known Candida species were able to identify the species of unknown Candida cultures with 100% accuracy. CONCLUSION: Raman spectroscopy can improve early identification of Candida species and may facilitate early optimal antifungal therapy