Discrimination of heavy metal acclimated environmental strains by chemometric analysis of FTIR spectra.

Heavy metal acclimated bacteria are profoundly the preferred choice for bioremediation studies. Bacteria get acclimated to toxic concentrations of heavy metals by induction of specific enzymes and genetic selection favoring new metabolic abilities leading to activation of one or several of resistance mechanisms creating bacterial populations with differences in resistance profile and/or level. Therefore, to use in bioremediation processes, it is important to discriminate acclimated bacterial populations and choose a more resistant strain. In this study, we discriminated heavy metal acclimated bacteria by using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy and multivariate analysis methods namely Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA). Two acclimation methods, acute and gradual, were used which cause differences in molecular changes resulting in bacterial populations with different molecular and resistance profiles. Brevundimonas sp., Gordonia sp., and Microbacterium oxydans were exposed to the toxic concentrations of Cd (30 µg/ml) or Pb (90 µg/ml) by using broth medium as a growth media. Our results revealed that PCA and HCA clearly discriminated the acute-acclimated, gradual-acclimated, and control bacteria from each other in protein, carbohydrate, and whole spectral regions. Furthermore, we classified acclimated (acute and gradual) and control bacteria more accurately by using SIMCA with 99.9% confidence. This study demonstrated that heavy metal acclimated and control group bacteria can be discriminated by using chemometric analysis of FTIR spectra in a powerful, cost-effective, and handy way. In addition to the determination of the most appropriate acclimation procedure, this approach can be used in the detection of the most resistant bacterial strains to be used in bioremediation studies.

Differential expression of genes participating in cardiomyocyte electrophysiological remodeling via membrane ionic mechanisms and Ca2+-handling in human heart failure.

Excitation-contraction coupling in normal cardiac function is performed with well balanced and coordinated functioning but with complex dynamic interactions between functionally connected membrane ionic currents. However, their genomic investigations provide essential information on the regulation of diseases by their transcripts. Therefore, we examined the gene expression levels of the most important voltage-gated ionic channels such as Na+-channels (SCN5A), Ca2+-channels (CACNA1C and CACNA1H), and K+-channels, including transient outward (KCND2, KCNA2, KCNA5, KCNA8), inward rectifier (KCNJ2, KCNJ12, KCNJ4), and delayed rectifier (KCNB1) in left ventricular tissues from either ischemic or dilated cardiomyopathy (ICM or DCM). We also examined the mRNA levels of ATP-dependent K+-channels (KCNJ11, ABCC9) and ERG-family channels (KCNH2). We further determined the mRNA levels of ryanodine receptors (RyR2; ARVC2), phospholamban (PLB or PLN), SR Ca2+-pump (SERCA2; ATP2A1), an accessory protein FKBP12 (PPIASE), protein kinase A (PPNAD4), and Ca2+/calmodulin-dependent protein kinase II (CAMK2G). The mRNA levels of SCN5A, CACNA1C, and CACNA1H in both groups decreased markedly in the heart samples with similar significance, while KvLQT1 genes were high with depressed Kv4.2. The KCNJ11 and KCNJ12 in both groups were depressed, while the KCNJ4 level was significantly high. More importantly, the KCNA5 gene was downregulated only in the ICM, while the KCNJ2 was upregulated only in the DCM. Besides, mRNA levels of ARVC2 and PLB were significantly high compared to the controls, whereas others (ATP2A1, PPIASE, PPNAD4, and CAMK2G) were decreased. Importantly, the increases of KCNB1 and KCNJ11 were more prominent in the ICM than DCM, while the decreases in ATP2A1 and FKBP1A were more prominent in DCM compared to ICM. Overall, this study was the first to demonstrate that the different levels of changes in gene profiles via different types of cardiomyopathy are prominent particularly in some K+-channels, which provide further information about our knowledge of how remodeling processes can be differentiated in HF originated from different pathological conditions.