Cellular entry of thyroid hormone is mediated by plasma membrane transporters, among others a T-type (aromatic) amino acid transporter. Monocarboxylate transporter 10 (MCT10) has been reported to transport aromatic amino acids but not iodothyronines. Within the MCT family, MCT10 is most homologous to MCT8, which is a very important iodothyronine transporter but does not transport amino acids. In view of this paradox, we decided to reinvestigate the possible transport of thyroid hormone by human (h) MCT10 in comparison with hMCT8. Transfection of COS1 cells with hMCT10 cDNA resulted in 1) the production of an approximately 55 kDa protein located to the plasma membrane as shown by immunoblotting and confocal microscopy, 2) a strong increase in the affinity labeling of intracellular type I deiodinase by N-bromoacetyl-[(125)I]T(3), 3) a marked stimulation of cellular T(4) and, particularly, T(3) uptake, 4) a significant inhibition of T(3) uptake by phenylalanine, tyrosine, and tryptophan of 12.5%, 22.2%, and 51.4%, respectively, and 5) a marked increase in the intracellular deiodination of T(4) and T(3) by different deiodinases. Cotransfection studies using the cytosolic thyroid hormone-binding protein micro-crystallin (CRYM) indicated that hMCT10 facilitates both cellular uptake and efflux of T(4) and T(3). In the absence of CRYM, hMCT10 and hMCT8 increased T(3) uptake after 5 min incubation up to 4.0- and 1.9-fold, and in the presence of CRYM up to 6.9- and 5.8-fold, respectively. hMCT10 was less active toward T(4) than hMCT8. These findings establish that hMCT10 is at least as active a thyroid hormone transporter as hMCT8, and that both transporters facilitate iodothyronine uptake as well as efflux.

Hospital-acquired infections (HAI) increase morbidity and mortality and constitute a high financial burden on health care systems. An effective weapon against HAI is early detection of potential outbreaks and sources of contamination. Such monitoring requires microbial typing with sufficient reproducibility and discriminatory power. Here, a microbial-typing method is presented, based on Raman spectroscopy. This technique provides strain-specific optical fingerprints in a few minutes instead of several hours to days, as is the case with genotyping methods. Although the method is generally applicable, we used 118 Staphylococcus aureus isolates to illustrate that the discriminatory power matches that of established genotyping techniques (numerical index of diversity [D] ‫؍‬ 0.989) and that concordance with the gold standard (pulsed-field gel electrophoresis) is high (95%). The Raman clustering of isolates was reproducible to the strain level for five independent cultures, despite the various culture times from 18 h to 24 h. Furthermore, this technique was able to classify stored (؊80°C) and recent isolates of a methicillin-resistant Staphylococcus aureus-colonized individual during surveillance studies and did so days earlier than established genotyping techniques did. Its high throughput and ease of use make it suitable for use in routine diagnostic laboratory settings. This will set the stage for continuous, automated, real-time epidemiological monitoring of bacterial infections in a hospital, which can then be followed by timely corrective action by infection prevention teams.Hospital-acquired infections (HAI) are among the most pressing problems in modern health care. Up to 10% of all admitted patients become infected while hospitalized, with incidences of 30% being reported in intensive-care units (8, 23). These infections cause significant increases in morbidity and mortality and also have considerable impact on the costs of health care (4,5,16,21). Direct medical costs per patient of between $27,000 and $35,000 have been reported (5).Up to 30% of HAI are caused by transmission and can therefore be prevented by means of infection control strategies (6). Several studies have emphasized the importance of active screening of patients in order to identify transmission of microorganisms. This detects possible cases of cross-transmission and thereby indicates the infection control measures to be taken, including isolation of patients (1, 2). Rapid assessment of microbial clonal relationships (typing) enables tracking of the spread of pathogens, which may be used to significantly decrease the number of HAI and additional costs, even in high-risk situations (14,17).Methicillin-resistant Staphylococcus aureus (MRSA) is a leading cause of HAI, and numerous DNA-based typing methods have been developed for the organism. Therefore, we used MRSA as an example to demonstrate the capabilities of a new typing method.Pulsed-field gel electrophoresis (PFGE) is generally the most preferred typing method (9), followed by multiloc...

Enterobacteriaceae are important pathogens of both nosocomial and community-acquired infections. In particular, strains with broad-spectrum beta-lactamases increasingly cause problems in health care settings. Rapid and reliable typing systems are key tools to identify transmission, so that targeted infection control measures can be taken. In this study, we evaluated the performance of Raman spectroscopic analysis (RA) for the typing of multiresistant Escherichia coli and Klebsiella pneumoniae isolates using the SpectraCell RA bacterial strain analyzer (River Diagnostics). Analysis of 96 unrelated isolates revealed that RA generated highly reproducible spectra and exhibited a discriminatory power that is comparable to pulsed-field gel electrophoresis. Furthermore, adequate results were obtained for three collections of clinical isolates. RA was able to discriminate outbreak-related isolates from isolates that were not involved in an outbreak or transmission. Furthermore, it was found that the RA approach recognized clones, irrespective of the extended-spectrum ␤-lactamase type. It can be concluded that RA is a suitable typing technique for E. coli and K. pneumoniae isolates. Combining high reproducibility, speed, and ease-of-use, this technique may play an important role in monitoring the epidemiology of these important nosocomial species.

Coagulase-negative staphylococci (CNS) are among the most frequently isolated bacterial species in clinical microbiology, and most CNS-related infections are hospital acquired. Distinguishing between these frequently multiple-antibiotic-resistant isolates is important for both treatment and transmission control. In this study we used isolates of methicillin-resistant coagulase-negative staphylococci (MR-CNS) that were selected from a large surveillance study of the direct spread of MR-CNS. This strain collection was used to evaluate (i) Raman spectroscopy as a typing tool for MR-CNS isolates and (ii) diversity between colonies with identical and different morphologies. Reproducibility was high, with 215 of 216 (99.5%) of the replicate samples for 72 isolates ending up in the same cluster. The concordance with pulsed-field gel electrophoresis (PFGE)-based clusters was 94.4%. We also confirm that the skin of patients can be colonized with multiple MR-CNS types at the same time. Morphological differences between colonies from a single patient sample correlated with differences in Raman and PFGE types. Some morphologically indistinguishable colonies revealed different Raman and PFGE types. This indicates that multiple MR-CNS colonies should be examined to obtain a complete insight into the prevalence of different types and to be able to perform an accurate transmission analysis. Here we show that Raman spectroscopy is a reproducible typing system for MR-CNS isolates. It is a tool for screening variability within a collection of isolates. Because of the high throughput, it enables the analysis of multiple colonies per patient, which will enhance the quality of clinical and epidemiological studies.

Raman spectroscopy has previously been demonstrated to be a highly useful methodology for the identification and/or typing of micro-organisms. In this study, we set out to evaluate whether this technology could also be applied as a tool to discriminate between isolates of Mycoplasma pneumoniae, which is generally considered to be a genetically highly uniform species. In this evaluation, a total of 104 strains of M. pneumoniae were analysed, including two reference strains (strains M129 and FH), and 102 clinical isolates, which were isolated between 1973 and 2005 and originated from various countries. By Raman spectral analysis (Raman typing) of this strain collection, we were able to reproducibly distinguish six different clusters of strains. An unequivocal correlation between Raman typing and P1 genotyping, which is based on sequence differences in the P1 (or MPN141) gene of M. pneumoniae, was not observed. In the two major Raman clusters that we identified (clusters 3 and 6, which together harboured 81 % of the strains), the different P1 subtypes were similarly distributed, and~76 % isolates were of subtype 1,~20 % of subtype 2 and~5 % of variant 2a. Nevertheless, a relatively high prevalence of P1 subtype 2 strains was found in clusters 2 and 5 (100 %), as well as in cluster 1 (75 %) and cluster 4 (71 %); these clusters, however, harboured a small number of strains. Only two of the strains (2 %) could not be typed correctly. Interestingly, analysis of the Raman spectra revealed the presence of carotenoids in M. pneumoniae. This finding is in line with the identification of M. pneumoniae genes that have similarity with genes involved in a biochemical pathway leading to carotenoid synthesis, i.e. the 2-C-methyl-D-erythritol 4-phosphate (MEP) pathway. Therefore, we hypothesize that M. pneumoniae hosts an MEP-like pathway for carotenoid synthesis. We conclude that Raman spectroscopy is a convenient tool for discriminating between M. pneumoniae strains, and that it presents a promising supplement to the current methods for typing of this bacterium.