A major limiting factor in stem cell therapy is the accurate identification of the differentiation state of cells destined for transplantation. This study aimed to evaluate the potential of synchrotron radiation Fourier transform infrared (SR-FTIR) microspectroscopy as a novel technique to probe the differentiation state of human mesenchymal stem cells (hMSCs) to chondrocytes over a period of 7, 14 and 21 days of induction. The chondrogenic markers were determined using reverse transcription polymerase chain reaction, histology and immunohistochemistry. The changes of average spectra located near 1338-1230 and 1175-960 cm(-1) indicated increased levels of collagen and aggrecan, respectively, in chondrocyte-induced hMSCs compared with control cells. Classification of independent test spectra using partial least squares discriminant analysis (PLS-DA) could distinguish control and chondrocyte-induced cells with 100% accuracy. We conclude that the SR-FTIR microspectroscopy technique is sensitive for monitoring the differentiation state of stem cells under chondrogenic induction particularly at an early stage. It provides biochemical information that is complimentary to that obtained from conventional techniques, and may give more unambiguous results particularly at the very early stage of cellular differentiation. In addition, the spectroscopic approach is more straightforward, non-destructive and requires less sample preparation compared with the conventional methodologies.
Background/ObjectiveThis study aimed to investigate the effect and carry-over effect of arm swing exercise (ASE) training on cardiac autonomic modulation, cardiovascular risk factors, and blood electrolytes in older persons with prehypertension.MethodsSubjects were 50 individuals with prehypertension (aged 66.90 ± 5.50 yr, body mass index 23.84 ± 3.65 kg/m2). They were randomly assigned into ASE group and control group. Subjects in the ASE group underwent an ASE training program for 3 months at a frequency of 30 min/day, 3 days/week. Subjects in the control group maintained their daily routine activities minus regular exercise. Blood pressure, heart rate variability (HRV), cardiovascular risk factors including blood glucose, lipid profile, high-sensitive C-reactive protein (hsCRP), and electrolytes were evaluated on 3 occasions: before and after the 3-month intervention, and 1 month after intervention ended.ResultsFollowing the 3-month intervention, systolic blood pressure (SBP) and serum hsCRP concentration were significantly lower, while serum high-density lipoprotein (HDL)-cholesterol, potassium (K+), magnesium (Mg2+) concentrations, standard deviation of normal R-R intervals (RMSSD) and high frequency (HF) power values were higher in the ASE group when compared with the control group (p < 0.05). At the 1-month follow-up interval, SBP and serum hsCRP concentration remained lower while serum HDL-cholesterol and K+ concentrations remained higher in the ASE group as compared to the control group (p < 0.05).ConclusionASE training decreased SBP and serum hsCRP concentration, increased serum HDL-cholesterol, K+, and Mg2+ concentrations and increased RMSSD and HF power values in older persons with prehypertension. In addition, there were carry-over effects of ASE training i.e. decreased SBP and serum hsCRP concentration as well as increased serum HDL-cholesterol and K+ concentrations.
Aims Attenuated Total Reflection Fourier Transform Infrared (ATR‐FT‐IR) Spectroscopy and chemometric modelling, including soft independent modelling by class analogy (SIMCA), partial least squares discriminant analysis (PLS‐DA) and support vector machine (SVM), were applied to attempt to discriminate 60 clinical isolates of Enterococcus faecium and Enterococcus faecalis and hence evaluate the performance of the spectroscopic approach in identifying enterococci infections. Methods and Results The bacterial samples were identified by polymerize chain reaction (PCR) amplification and their ATR‐FT‐IR spectra acquired. Spectra were processed to the second derivative using the Savitzky–Golay algorithm and normalized using extended multiplicative signal correction employing the UnscramblerX (CAMO, Norway) software package. Multivariate classification models and their performance were evaluated using Cohen’s Kappa coefficient. Principal component analysis (PCA) score plots showed separate clusters of spectra related to membership to E. faecium and E. faecalis, with this explained by bands assigned to PO2 (1230 cm−1), P‐O‐C (1114 cm−1), monosubstituted alkene (997, 987 cm−1) and C‐O (1070, 1055, 1036 cm−1) corresponding to teichoic acids, polysaccharides and peptidoglycan from the cell wall in PCA and PLS‐DA loading plots. The best classification model for E. faecium and E. faecalis is SVM, indicating via highest Kappa score. The classification coefficient between SIMCA, PLS‐DA, SVM and PCR as reference method were 0·59, 0·9 and 1, respectively, shown as the Kappa scores. Conclusions The main spectral differences observed between the two clinically relevant enterococci species were associated with changes in the teichoic acid content of cell walls. With regard to the binary classification method, SVM was found to be the best performing classification model, providing the highest correlation with the PCR results. Significance and Impact of the Study The study shows that ATR‐FT‐IR spectroscopy in combination with chemometric modelling can be applied for the phenotypic identification and discrimination of clinically relevant and similar enterococcal species.
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