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International audience; Diffusion-time distribution analysis (DDA) has been used to explore the plasma membrane fluidity of multidrug-resistant cancer cells (LR73 carcinoma cells) and also to characterize the influence of various membrane agents present in the extracellular medium. DDA is a recent single-molecule technique, based on fluorescence correlation spectroscopy (FCS), well suited to retrieve local organization of cell membrane. The method was conducted on a large number of living cells, which enabled us to get a detailed overview of plasma membrane microviscosity, and plasma membrane micro-organization, between the cells of the same line. Thus, we clearly reveal the higher heterogeneity of plasma membrane in multidrug-resistant cancer cells in comparison with the nonresistant ones (denoted sensitive cells). We also display distinct modifications related to a membrane fluidity modulator, benzyl alcohol, and two revertants of multidrug resistance, verapamil and cyclosporin-A. A relation between the distribution of the diffusion-time values and the modification of membrane lateral heterogeneities is proposed

Identifying early cellular events in response to a chemotherapy drug treatment, in particular at low doses that will destroy the highest possible number of cancer cells, is an important issue in patient management. In this study, we employed Fourier transform infrared spectroscopy as a potential tool to access such information. We used as model the non-small cell lung cancer cell line, Calu-1. They were exposed to cytostatic doses (0.1 to 100 nM for 24, 48 and 72 h) of gemcitabine, an anti-tumour drug, currently used in treatment of lung cancer patients. In these conditions, inhibition of cell proliferation ranges from weak (or = 5%), to moderate (approximately 23%), to high (82-95%) without affecting cell viability. Following drug treatment as a function of doses and incubation times, the spectra of cell populations and of individual cells were acquired using a bench-top IR source and a synchrotron infrared microscope. It is demonstrated that spectral cell response to gemcitabine is detectable at sublethal doses and that effects observed on cell populations are similar to those from single cells. Using cluster analysis, spectra could be classified in two main groups: a first group that contains spectra of cells exhibiting a weak or moderate proliferation rate and a second group with spectra from cells presenting a high growth inhibition. These results are promising since they show that effects of subtoxic doses can also be monitored at the single-cell level with the clinical implications that this may have in terms of patient benefit and response to chemotherapy.

Non-melanoma skin cancer includes basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and Bowen's disease. The differential diagnosis of these lesions is sometimes difficult and relies on the histopathological examination of surgical specimens. However, a precise differential diagnosis is crucial for an accurate therapy and thus better patient care. FTIR spectral micro-imaging was applied directly on formalin-fixed paraffin-embedded samples of non-melanoma skin cancers. Chemometric and multivariate statistical analyses were developed to generate an automated IR-based histology without any chemical dewaxing. Different prediction models were developed using linear discriminant analysis combined with data reduction by Principal Component Analysis (PCA) or by wavenumber selection using statistical tests or genetic algorithms. Pseudo-colour maps were reconstructed and compared to conventional histology procedures. High correlation was obtained between the prediction maps and the histology which proves the great potential of FTIR spectroscopy for the differential diagnosis of skin carcinomas.

Single-cell studies have important implications in biomedicine. An accurate investigation of biochemical behaviour and status requires a biomolecular probe such as vibrational microscopy. Amongst other approaches, synchrotron infrared microspectroscopy is an appropriate analytical tool for single-cell investigation. However, it is important to understand the precise origin of spectral differences as they are directly related to the cell biochemistry. Beside biomolecular changes, physical properties can interfere in the resulting information, and the two effects need separating. Both cells and nuclei induce Mie scattering effects due to their equivalent size with the probe wavelength. This results in a large modification of the spectra, and its precise contribution has to be determined in order to extract the true spectral information. On this basis, we carried out this study in order to evaluate the exact contribution of cell nuclei to Mie scattering. To this purpose, we isolated whole cancer cell nuclei and obtained, for the first time, their FTIR spectra with good signal to noise ratio. The synchrotron-based FTIR (S-FTIR) spectra of nuclei showed changes in lipids, proteins, and DNA absorptions when compared to spectra of whole lung cancer cells. Importantly, we estimated the Mie scattering properties of single cells and single nuclei spectra and were consequently able to separate optical and chemical properties of single cells and nuclei. This is the first study which sheds new light on the identification of the precise spectral biomarkers of a whole cell and those of the cell nucleus.

Confocal Raman microspectroscopy represents the advantage of giving structural and conformational information on samples without any destructive treatment. Recently, several studies were achieved to study the skin hydration, endogenous and exogenous molecules repartition in the skin using the confocal feature of this technique. Meanwhile, when working through a material boundary with a different refractive index, the main limitation remains the spatial precision, especially the distortion in the depth and the depth resolution. Recently, several authors described mathematical models to correct the depth and the resolution values. In this study, we combined theoretical approaches, proposed by different authors with experimental measurements to try to find out the most appropriate approach for correction. We then applied the corrections on in-depth profiles tracking the penetration of Metronidazole, a drug produced by Galderma for rosacea treatment, through excised human skin.

A fiber-tip-based near-field fluorescence correlation spectroscopy (FCS) has been developed for confining the detection volume to sub-diffraction-limited dimensions. This near-field FCS is based on near-field illumination by coupling a scanning near-field optical microscope (SNOM) to a conventional confocal FCS. Single-molecule FCS analysis at 100 nM Rhodamine 6G has been achieved by using bare chemically etched, tapered fiber tips. The detection volume under control of the SNOM system has been reduced over one order of magnitude compared to that of the conventional confocal FCS. Related factors influencing the near-field FCS performance are investigated and discussed in detail. In this proof-of-principle study, the preliminary experimental results suggest that the fiber-tip-based near-field FCS might be a good alternative to realize localized analysis at the single-molecule level.

Fourier transform infrared (FTIR) spectroscopy is nowadays widely accepted as a technique with high potential for diagnosis of cancerous tissues. This study presents an example of the investigation of peritoneal metastases by FTIR microimaging. Peritoneal malignancies are generally secondary localizations of primary visceral cancers such as ovarian, stomach or colon cancers. By analysing simultaneously both formalin-fixed paraffin-embedded and frozen specimens, we examined malignant and non-malignant (i.e. fibrotic and cicatricial) peritoneal lesions. Paraffin-embedded tissues were analysed without any previous dewaxing. Multivariate statistical approaches, based on the classification of infrared data by hierarchical cluster analysis, allowed the discrimination of these various samples. Microimaging also permits the revelation of the heterogeneity of the tissue: it was possible to localize precisely the cancerous areas, and to distinguish, on the basis of their spectral signatures, the peritumoral neighbouring connective tissue close to the carcinomatous areas from the connective tissue distant from the cancerous areas. These spectral differences could be useful as complementary information to study molecular changes associated with the malignancy.

Raman spectra are classically modeled as a linear mixing of spectra of molecular constituents of the analyzed sample. Source separation methods are thus well suited to estimate these constituent spectra. However, physical distortions due to the instrumentation and biological nature of samples add nonlinearities to the Raman spectra model. These distortions are dark current, detector and optic responses, fluorescence background, and peak misalignment and peak width heterogeneity. The source separation results are thus deteriorated by these effects. We propose to develop specific preprocessing steps to correct these distortions and to retrieve a linear model. The benefits brought by these steps are studied by the application of two different source separation methods named joint approximate diagonalization of eigenmatrices and maximum likelihood positive source separation after the application of each step on a dataset acquired on a paraffin-embedded human skin biopsy. The efficacy of these methods to separate Raman spectra is also discussed.

In this report FTIR spectra of cells and bacteria, and related recent work are reviewed and presented. The data may be used for diagnostic purposes and for probing nuclei, membranes and proteins. The monitoring of environmental samples is linked to characteristic bands and band ratios of well-defined absorption bands.

Polarized Raman microspectroscopy can provide precious information regarding the orientation and ordering of the molecules in a sample without staining or particular preparation. This technique is used for the first time on a human skin section to probe the molecular modifications of the surrounding dermis in superficial basal cell carcinoma. Spectra using polarized and conventional Raman microspectroscopies were recorded on dermis bordering either the tumor or healthy epidermis. Band areas and spectral decomposition on selected vibrations were computed. Significant differences in dermal collagen vibration bands are detected using both polarized and conventional micro-spectroscopies, but the spectral changes between tumor and healthy tissues are enhanced using polarized Raman microspectroscopy. The analysis of these spectral differences highlights structural modifications of the triple helix of collagen. We see polarized Raman microspectroscopy as a potential tool that could be implemented for clinical analyses to guide clinicians and surgeons in the treatment of aggressive skin cancers. The information obtainable could also help better elucidate the molecular mechanisms induced in basal cell carcinoma development.

This study aims to develop IR imaging of tumor tissues for generating an automated IR-based histology. Formalin-fixed paraffin-embedded xenografts of human colon carcinomas were analyzed. Chemometric and statistical multivariate treatments of spectral data permitted to probe the intrinsic chemical composition of tissues, directly from paraffinized sections without previous dewaxing. Reconstructed color-coded spectral images revealed a marked tumor heterogeneity. We identified three spectral clusters associated to tumoral tissues, whereas HE staining revealed only a single structure. Nine other clusters were assigned to either necrotic or host tissues. This spectral histology proved to be consistent over multiple passages of the same xenografted tumor confirming that intratumoral heterogeneity was maintained over time. In addition, developing an innovative image analysis, based on the quantification of neighboring pixels, permitted the identification of two main sequences of spectral clusters related to the tissue spatial organization. Molecular attribution of the spectral differences between the tumor clusters revealed differences of transcriptional activity within these tumor tissue subtypes. In conclusion, IR spectral imaging proves to be highly effective both for reproducible tissue subtype recognition and for tumor heterogeneity characterization. This may represent an attractive tool for routine high throughput diagnostic challenges, independent from visual morphology.

Mid-IR spectral imaging is an efficient method to analyze biological samples. Several research studies showed its potential to diagnose cancerous tissues. However, some limitations appear when formalin-fixed paraffin-embedded tissues are studied due to the intense IR contribution of paraffin, unless to perform a time-consuming and aggressive chemical dewaxing. We propose in this paper to analyze the efficiency of two digital dewaxing methods developed to remove the paraffin influence on IR images acquired on a cancerous skin sample. The first method is the extended multiplicative signal correction (EMSC), which is a preprocessing step applied to neutralize the IR contribution of paraffin. The second one, previously developed for Raman spectroscopy of paraffined tissues, is based on the independent component analysis (ICA) and the nonnegatively constrained least squares (NCLS). ICA+NCLS permits to remove the IR spectral signature from tissue spectra. Both preprocessing methods are compared on the basis of K-means-clusterized IR images in respect to a conventional histopathological staining. In conclusion, these preliminary results show the efficiency of the preprocessing methods; however ICA+NCLS has to be improved to get more relevant outcomes.

The aim of this tutorial review is to give an overview of the state of the art of intracellular applications of analytical SERS spectroscopy. We pay particular attention to nanoparticle-based SERS spectroscopy since this currently dominates the published literature on non-disturbing analysis of live cells. We describe recent advances in this domain due to the development of multispectral imaging and to the combined use of SERRS (surface-enhanced resonance Raman scattering) and fluorescence spectroscopy. Finally, a perspective view is given on the tip-based approaches like tip-enhanced Raman spectroscopy (TERS) which allow micrometric and nanometric resolution.

Processing of multispectral images is becoming an important issue, especially in terms of data mining for disease diagnosis. We report here an original image analysis procedure developed in order to compare 42 infrared multispectral images acquired on human ascending aortic healthy and pathological tissues. Each image contained about 2500 infrared absorption spectra, each composed of 1641 variables (wavenumbers). To process this large data set, we have restricted the spectral window used to the 1800-950 cm(-1) spectral range and selected 100 spectra from the aortic media, which is the most altered part of the aortic tissue in aneurysms. Prior to this selection, a spectral quality test was performed to eliminate 'bad' spectra. Our data set was first subjected to a discriminant analysis, which allowed separation of aortic tissues in two groups corresponding respectively to normal and aneurysmal states. Then a K-means analysis, based on 20 groups, allowed reconstruction of infrared images using false-colours and discriminated between pathological and healthy tissues. These results demonstrate the usefulness of such data processing methods for the analysis and comparison of a set of spectral images.

The aim of this tutorial review is to give an overview of the state of the art of intracellular applications of analytical SERS spectroscopy. We pay particular attention to nanoparticle-based SERS spectroscopy since this currently dominates the published literature on non-disturbing analysis of live cells. We describe recent advances in this domain due to the development of multispectral imaging and to the combined use of SERRS (surface-enhanced resonance Raman scattering) and fluorescence spectroscopy. Finally, a perspective view is given on the tip-based approaches like tip-enhanced Raman spectroscopy (TERS) which allow micrometric and nanometric resolution.

Raman spectroscopy has been recognised as a valuable analytical tool in biological and medical research. This technique allows probing molecular vibrations of samples without external labels or extensive preparation. This non-destructive optical technique can provide rapid and objective and reproducible measurements of sample biochemistry and identify variations that occur between healthy and diseased tissues. In fact, biochemical changes within tissue may either initiate disease or occur as a result of the disease process. The qualitative analysis of such changes provides important clues in the search for a specific diagnosis and the quantitative analysis of biochemical abnormalities is important in measuring the extent of the disease process, designing therapy and evaluating the efficacy of treatment. In this paper, we discuss one medical application of near-infrared Raman microspectroscopic imaging as a diagnostic tool to investigate, ex vivo, the changes between normal and adenocarcinomatous human colonic tissues. Multivariate statistical analysis was applied on these measured data to identify the molecular composition and distribution of lipids, proteins, mucus and collagens in normal and malignant tissue. Unsupervised hierarchical cluster analysis shows two unsupervised distinct clusters that were assigned to normal and adenocarcinomatous in accordance with conventional histopathological examination. The spectral images allowed good correlation between pseudo-color Raman and histopathological features.

Fluorescence correlation spectroscopy (FCS) has been used to analyze the plasma membrane fluidity and heterogeneity of multidrug resistant cells. At the single cell level, the effects of different membrane agents present in the extra-cellular medium have been explored. Firstly, we reveal a modification of plasma membrane heterogeneities according to the addition of a fluidity modulator, benzyl alcohol. On the other hand, revertants such as verapamil and cyclosporin-A appear to act more specifically on the slow diffusion sites, such as lipids microdomains.

Aortic aneurisms are frequently asymptomatic but can induce dramatic complications. The diagnosis is only based on the aortic diameter and not on a structural and compositional basis. In this preliminary study, we propose infrared microspectroscopy to nondestructively probe normal and aneurismal human aortas. Spectra from 19 human ascending aortic biopsies (10 normal and 9 aneurismal) were acquired using infrared microspectroscopy. A 1500 x 150 microm(2) area of each 7-microm thick cryosection was investigated using a 30-microm spatial resolution with a total of about 200 spectra per sample. Spectral differences between normal and aneurismal tissues were mainly located in spectral regions related to proteins, such as elastin and collagen, and proteoglycans (1750-1000 cm(-1)). Tissue heterogeneity and sample classification have been evaluated using hierarchical cluster analysis of individual or mean spectra and their second derivative. Using spectral range related to proteins, 100% of good classification was obtained whereas the proteoglycan spectral range was less discriminant. This in vitro study demonstrates the potential of such technique to differentiate between normal and aneurismal aortas using selected spectral ranges. Future investigations will be focused on these specific spectral regions to determine the role of elastin and collagen in the discrimination of normal and pathological aortas.

The aim of this study was to investigate the correlation patterns between Fourier transform infrared (FT-IR) and Raman microspectroscopic data obtained from pork muscle tissue, which helped to improve the interpretation and band assignment of the observed spectral features. The pork muscle tissue was subjected to different processing factors, including aging, salting, and heat treatment, in order to induce the necessary degree of variation of the spectra. For comparing the information gained from the two spectroscopic techniques with respect to the experimental design, multiblock principal component analysis (MPCA) was utilized for data analysis. The results showed that both FT-IR and Raman spectra were mostly affected by heat treatment, followed by the variation in salt content. Furthermore, it could be observed that IR amide I, II, and III band components appear to be effected to a different degree by brine-salting and heating. FT-IR bands assigned to specific protein secondary structures could be related to different Raman C–C stretching bands. The Raman C–C skeletal stretching bands at 1031, 1061, and 1081 cm−1 are related to the IR bands indicative of aggregated β-structures, while the Raman bands at 901 cm−1 and 934 cm−1 showed a strong correlation with IR bands assigned to α-helical structures. At the same time, the IR band at 1610 cm−1, which formerly was assigned to tyrosine in spectra originating from pork muscle, did not show a correlation to the strong tyrosine doublet at 827 and 852 cm−1 found in Raman spectra, leading to the conclusion that the IR band at 1610 cm−1 found in pork muscle tissue is not originating from tyrosine.

Candida glabrata has emerged as one of the leading agents of fungal infections and strain typing is essential for epidemiological investigation that is generally achieved by molecular techniques. In this work, we studied twenty-nine C. glabrata strains isolated from different patients, using a phenotypic approach based on Fourier Transform Infrared (FTIR) spectroscopy, which has been in a previous study successfully applied as a rapid typing method for Candida albicans. A two-step procedure was used for the analysis. The first step included sixteen strains for the internal validation phase, which aimed at finding the spectral windows that would provide the best differentiation between strains. In this phase, hierarchical cluster analysis (HCA) carried out using three spectral windows (900–1200, 1540–1800, 2800–3000 cm− 1) allowed to obtain the best classification, where each patient strains could be clustered together. A genotypic technique based on randomly amplified polymorphic DNA-analysis (RAPD) confirmed these results. In a second step, the external validation phase, thirteen other clinical strains of C. glabrata isolated from multiple sites in four ICU patients, were tested by FTIR spectroscopy. The analysis was based on the spectral regions previously found in the first step. HCA classification of the strains gave four groups, one group per patient. These results suggest that no inter-human transmission took place. This study shows the potential of FTIR approach for typing of C. glabrata with several advantages compared to other techniques. FTIR typing is fast, effective, and reagent free. Moreover, it is applicable to all micro-organisms and requires a small quantity of biomass.

The incidence of fungal infections, in particular candidiasis and aspergillosis, has considerably increased during the last three decades. This is mainly due to advances in medical treatments and technologies. In high risk patients (e.g. in haematology or intensive care), the prognosis of invasive candidiasis is relatively poor. Therefore, a rapid and correct identification of the infectious agent is important for an efficient and prompt therapy. Most clinical laboratories rely on conventional identification methods that are based on morphological, physiological and nutritional characteristics. However, these have their limitations because they are time-consuming and not always very accurate. Moreover, molecular methods may be required to determine the genetic relationship between the infectious strains, for instance in Candida outbreaks. In addition, the latter methods require time, expensive consumables and highly trained staff to be performed adequately. In this study, we have applied the FTIR spectroscopic approach to different situations encountered in routine mycological diagnosis. We show the potentials of this phenotypic approach, used in parallel with routine identification methods, for the differentiation of 3 frequently encountered Candida species (C. albicans, C. glabrata and C. krusei) by using both suspensions and microcolonies. This approach, developed for an early discrimination, may help in the initial choice of antifungal treatment. Furthermore, we demonstrate the feasibility of the method for intraspecies comparison (typing) of 3 Candida species (C. albicans, C. glabrata and C. parapsilosis), particularly when an outbreak is suspected.

This study concerns the development of a new imaging diagnostic tool for bronchial cancer. This malignancy is a wide-spread cancer in the world, with an increasing incidence. Our objective is to assess the potential of infrared (IR) spectroscopy in the early diagnosis of the bronchial cancer. Our approach is divided into two steps: the first issue aims at highlighting specific spectroscopic markers of the bronchial cancer permitting to detect unambiguously the presence of cancer cells. The second step relies on establishing a chemometric model able to estimate the tumor invasivity of these malignant cells For our approach, we used 4 different bronchial cellular lines displaying different in vitro invasive properties assessed by a modified Boyden chamber assay : the non invasive cell line 16HBE used as a control, the moderate invasive cell line Beas2B and the two highly invasive cell lines BZR and BZRT33. Four samples of each cell line were cultured and embedded in paraffin wax. Slices of 10 μm were prepared on CaF2 windows suitable for IR measurements. The infrared acquisitions were performed with an imager (Bruker, Germany) equipped with a Focal Plane Array detector allowing to image large tissue areas with a spatial resolution of a few micrometers. The IR spectra were processed using chemometric and statistical multivariate treatments. A first stage permitted to correct spectral interferences originated from the paraffin and optical effects. Then, supervised models were established by means of PLS-DA (Partial Least Square Discriminant Analysis) method. A first model, based on sparse-PLS method, was optimized to highlight spectroscopic markers specific of the normal and cancerous states; this model has proved effective in terms of sensibility (96%) and specificity (90%). Based on these promising results, the study will be pursued by the analysis of tissue samples from biopsies and tumor samples. Subsequently, the next investigation will rely on the construction of a second model to model and quantify the aggressiveness level of the cell lines. Citation Format: Vincent D. Gaydou, Myriame Polette, Cyril Gobinet, Claire Kileztky, Michel Manfait, Philippe Birembaut, Olivier Piot. Infrared spectral diagnosis for predictive cancer medicine: application to the early diagnosis and prognosis of preinvasive bronchial intraepithelial lesions. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 212. doi:10.1158/1538-7445.AM2015-212

The hydration capacities of a biomimetic polymer, 2-methacryloyloxethylphosphorylcholine polymer (pMPC), alone and microencapsulated, in association with another well known hydrating polymer, Hyaluronic acid, were investigated in vitro on skin models and in vivo on volunteers by using confocal Raman microspectroscopy. The hydration impact and the relative water content in the Stratum corneum were calculated from the Raman spectra using the OH (water)/CH3 (protein) ratio. Moreover, the follow-up of the presence of pMPC through the Stratum corneum was possible with confocal Raman microspectroscopy, using a characteristic vibration of pMPC, different from that of the encapsulating material. From our in vitro measurements, the improved hydration of the Stratum corneum was confirmed by the use of the encapsulated form of pMPC, which was higher when combined with Hyaluronic acid. On the basis of these in vitro findings, we validated this trend in in vivo measurements on 26 volunteers, and found a good correlation with the in vitro results. Mechanical and ultrastructural studies have been carried out to demonstrate the positive effects of the pMPC on the Stratum corneum function, namely the interaction with lamellar lipids and the plasticizing effects, which are both supposed to spell out the moisturizing effect. This study demonstrates the efficiency of a original hydrating agent, pMPC, entrapped with Hyaluronic acid in a new type of microcapsules by the use of a novel tool developed for both in vitro and in vivo approaches. This indicates a new step to evaluate and improve new moisturizers in response to the cosmetics or dermatologic demands.

The binding and the diffusion of mitoxantrone (MTX) through the plasma membrane was performed by Forster resonance energy transfer (FRET) from the membrane fluorescent donor (4Di-10ASP) to the co-localized acceptor MTX. The MTX addition to living 4Di-10ASP-tagged cells resulted in the rapid quenching of the probe emission (1 s), revealing the MTX binding to the outer leaflet. Then, a slower quenching (about 90 s) occurred which corresponded to the MTX flip-flop into the inner leaflet. Changes of MTX integration into the plasma membrane were described in BCRP-overexpressed cells (HCT-116R) treated with (i) the BCRP inhibitor fumitremorgin C (FTC), (ii) cyclosporin A (CSA) and (iii) benzyl alcohol (BA). Treatments with FTC or CSA showed 80% and 40% higher flip-flop of MTX from the outer to the inner leaflet of HCT-116R cells. The addition of BA clearly increased the MTX integration into both outer and inner leaflets. Confocal fluorescence microscopy displayed that FTC, CSA and BA enhanced MTX accumulation in HCT-116R. In conclusion, Fumitremorgin C and agents modulating MTX accumulation resulted in higher MTX integration in the resistant cell membrane and could disrupt the membrane cohesion. This energy transfer method appears well-adapted to describe the drug diffusion through the plasma membrane of living cells.

Cancer cells escape cytotoxic effects of anticancer drugs by a process known as multidrug resistance (MDR). Identification of cell status by less time-consuming methods can be extremely useful in patient management and treatment. This study aims at evaluating the potentials of vibrational spectroscopic methods to perform cell typing and to differentiate between sensitive and resistant human cancer cell lines, in particular those that exhibit the MDR phenotype. Micro-Raman and Fourier transform infrared (FTIR) spectra have been acquired from the sensitive promyelocytic HL60 leukemia cell line and two of its subclones resistant to doxorubicin (HL60/DOX) and daunorubicin (HL60/DNR), and from the sensitive MCF7 breast cancer cell line and its MDR counterpart resistant to verapamil (MCF7/VP). Principal components analysis (PCA) was employed for spectral comparison and classification. Our data show that cell typing was feasible with both methods, giving two distinct clusters for HL60- and MCF7-sensitive cells. In addition, phenotyping of HL60 cells, i.e., discriminating between the sensitive and MDR phenotypes, was attempted by both methods. FTIR could not only delineate between the sensitive and resistant HL60 cells, but also gave two distinct clusters for the resistant cells, which required a two-step procedure with Raman spectra. In the case of MCF7 cell lines, both the sensitive and resistant phenotypes could be differentiated very efficiently by PCA analysis of their FTIR and Raman point spectra. These results indicate the prospective applicability of FTIR and micro-Raman approaches in the differentiation of cell types as well as characterization of the cell status, such as the MDR phenotype exhibited in resistant leukemia cell lines like HL60 and MCF7.

In the last few years, Raman spectroscopy has been increasingly used for the characterization of normal and pathological tissues. A new Raman system, constituted of optic fibers bundle coupled to an axial Raman spectrometer (Horiba Jobin Yvon SAS), was developed for in vivo investigations. Here, we present in vivo analysis on two tissues: human skin and esophagus mucosa on a rat model. The skin is a directly accessible organ, representing a high diversity of lesions and cancers. Including malignant melanoma, basal cell carcinoma and the squamous cell carcinoma, skin cancer is the cancer with the highest incidence worldwide. Several Raman investigations were performed to discriminate and classify different types of skin lesions, on thin sections of biopsies. Here, we try to characterize in vivo the different types of skin cancers in order to be able to detect them in their early stages of development and to define precisely the exeresis limits. Barrett's mucosa was also studied by in vivo examination of rat's esophagus. Barrett's mucosa, induced by gastro-esophageal reflux, is a pretumoral state that has to be carefully monitored due to its high risk of evolution in adenocarcinoma. A better knowledge of the histological transformation of esophagus epithelium in a Barrett's type will lead to a more efficient detection of the pathology for its early diagnosis. To study these changes, an animal model (rats developing Barrett's mucosa after duodenum - esophagus anastomosis) was used. Potential of vibrational spectroscopy for Barrett's mucosa identification is assessed on this model.

The purpose of this study was to characterize the variation in biochemical composition of 89 strains of Listeria monocytogenes with different susceptibilities towards sakacin P, using Fourier transform infrared (FTIR) spectroscopy and Raman spectroscopy. The strains were also analyzed using amplified fragment length polymorphism (AFLP) analysis. Based on their susceptibilities to sakacin P, the 89 strains have previously been divided into two groups. Using the FTIR spectra and AFLP data, the strains were basically differentiated into the same two groups. Analyses of the FTIR and Raman spectra revealed that the strains in the two groups contained differences in the compositions of carbohydrates and fatty acids. The relevance of the variation in the composition of carbohydrates with respect to the variation in the susceptibility towards sakacin P for the L. monocytogenes strains is discussed.

To evaluate the potential of a new in vivo confocal Raman microprobe, we undertake a pilot study in human skin. A fiber optic probe is operated with a 633-nm laser and trials are conducted in healthy volunteers. We examine changes in molecular composition and structure of the stratum corneum, from different volunteers, from different anatomical sites and skin layers. Main spectral variations are detected in the following regions: 800 to 900 cm(-1) (amino acids); 1200 to 1290 cm(-1) (proteins); and 1030 to 1130 cm(-1), 1300 to 1450 cm(-1), and 2800 to 2900 cm(-1) (lipids). Curve fitting of the amide 1 region performs in detail protein secondary structural variations of the amide 1 band. Protein conformation is also found to vary depending on the anatomical site and volunteer. Similar analysis of the 730- to 1170-cm(-1) spectral window reveals a different organization of lamellar lipids: gel for forearm and palm, and liquid-crystalline phase for fingertips. All these variations result from changes in the stratum corneum components such as natural moisturizing factor (NMF), lipids (namely ceramides), and water. Hierarchical clustering classification is also performed to sort out Raman data obtained from different subjects. Further improvement of the confocal probe would be to adapt a 360-deg configuration enabling access to other anatomical sites.

A pilot Raman microspectroscopy study of formalin-fixed, paraffin-embedded, and deparaffinized sections from the same ovarian normal and malignant tissues was carried out. This approach was considered in order to evaluate the suitability of these ex vivo tissue handling procedures in discrimination as well as biochemical characterization. The spectra of formalin-fixed normal and malignant tissues exhibited no contamination due to formalin, which is indicated by the absence of strong formalin peaks; spectral features also show significant differences for normal and malignant tissues. The differences between spectral profiles of deparaffinized normal and malignant tissues are subtle and spectra show few residual sharp peaks of paraffin. Complete dominance of paraffin swamping signals from tissues was observed in the spectra of paraffin-embedded tissues. Principal components analysis (PCA), which was employed for discrimination of tissue type, provided good discrimination for formalin-fixed and paraffin-embedded tissue spectra. PCA of deparaffinized tissues resulted in a poor classification with significant overlap among the clusters. Thus, this study indicates that formalin fixation is the most suitable among the three procedures employed in the study. Significant differences between spectral profiles of normal and malignant formalin-fixed tissues can not only be exploited for discrimination but can also provide information on biochemical characteristics of the tissues. Deparaffinized tissues provide poor discrimination and information on tissue biochemistry is lost. Paraffin-embedded tissues may provide good discrimination, but predominance of paraffin in the spectra could jeopardize biochemical characterization. Prospectively, as a result of the better availability of paraffin-embedded tissues and problems associated with frozen sectioning of formalin-fixed tissues, the results of this study using paraffin-embedded tissues are very encouraging.

Multidrug resistance (MDR) enables cancer cells to escape cytotoxic insults of anticancer drugs. Rapid identification of cells exhibiting the MDR phenotype is very important since it can lead to an effective and individual patient based treatment plan. We have investigated a combined vibrational spectroscopic approach, using both micro-Raman and FTIR techniques, in order to characterise a sensitive human uterine sarcoma cell line MES-SA and its multidrug-resistant derivative Garf. In this study, these two complementary methods have been evaluated via the use of principal components analysis (PCA), for discrimination of cells exhibiting the MDR phenotype. Our results indicate that, though they inherently have different sensitivities, both Raman and IR methods can provide a good differentiation of cell phenotypes.

Due to the continuous increase of human candidiasis and the great diversity of yeasts of the Candida genera, it is indispensable to identify this yeast as early as possible. Early identification enables an early diagnostic and patient-adapted anti-fungal therapy, thus reducing morbidity and mortality related to these infections. In view of this, we have in this study investigated microcolonies using a method based on Fourier transform-infrared microspectroscopy (FTIRM) for a rapid and early identification of the most frequent Candida species encountered in human pathology. FTIR spectroscopy is a whole-cell "fingerprinting" method by which microorganisms can be identified. By exploiting the huge discriminating capacity of this technique, we identified 6 species (Candida albicans, Candida glabrata, Candida parapsilosis, Candida tropicalis, Candida krusei, and Candida kefyr) from a collection of 57 clinical strains of Candida, isolated from hospitalised patients. Data obtained on 10- to 18-h-old microcolonies were compared to cultures of 24 h. Our results clearly show the efficiency and the robustness of FTIR (micro)spectroscopy in identifying species with a classification rate of 100% for both microcolonies and 24-h cultures. FTIR microspectroscopy is thus a promising clinical approach, because compared to conventional and molecular techniques, it is time and money saving, has great identification and discriminating potentials, and is amenable to an automated high-throughput routine system.

FTIR microspectroscopy, in combination with cluster analysis, has been used to characterise skin tissues, in order to discriminate cancerous from non-cancerous ones. The main objective of this in vitro study was to demonstrate the applicability of infrared spectral imaging to separate, on paraffinised biopsies, pigmented nevi (benign skin lesions) from melanomas (malignant skin lesions). Infrared spectra were collected from paraffin-embedded samples of nevi and melanomas, without deparaffinisation. Despite the important contribution of the paraffin in these spectra, it was possible to find meaningful and discriminating spectral regions. Spectral imaging was first performed to localize different skin layers (dermis and epidermis). Spectra extracted from the images were subjected to hierarchical classification algorithm, which allowed the discrimination of melanomas from the nevi, using selected spectral windows that correspond to vibrations of DNA and melanin content. The diversity of skin lesions and direct accessibility to the skin make this organ an interesting field of investigation using this technique.

Chemoresistance remains the major obstacle to successful therapy of the lung cancer. The multi-drug resistance (MDR) is generally associated with altered expression of drug transporter proteins, such as P-glycoprotein (P-gp). So the distribution of P-gp on the membrane is of great importance to further study the interaction between drug and P-gp. In the present work, the P-gp of the H69/VP small-lung cancer cells was detected using monoclonal antibody UIC2. A secondary goat-anti mouse antibody coupled with biotin was used. The fluorescence emission was detected from a streptavidin-Texas Red. Results were investigated by a homemade scanning near-field optical microscope (SNOM) coupled to a confocal laser microspectrofluorometer (CLMF). Topographical images and localized spectra were obtained at the level of one cell membrane. It was found that the distribution of P-gp is not homogeneous and this observation is basically in accord with the fluorescent images obtained by classical microscopy. The distribution of P-gp would be localized in a higher region on a cell surface. This methodology would also enhance our understanding of MDR under physiological conditions.

Complexes formed between G-quadruplex (G4)-conformed oligonucleotides and four ethidium derivatives were studied by surface-enhanced Raman spectroscopy (SERS) to detail the topology of complexes that support a G4 stabilization. Ethidium bromide (EB), which presents a weak ability to stabilize oligonucleotides in G4 conformation, displayed no SERS intensity modification when bound to G4, as compared with the free EB. Three ethidium derivatives have been selected due to their higher ability to stabilize G4 than EB. Bound with G4-conformed oligonucleotides, SERS intensity of these three ethidiums decreased by factors of about 6, 3.5, and 15. The high SERS quenching was interpreted as a loss of accessibility of silver colloids for G4-bound ethidiums. This could represent a new selective parameter useful to identify G4-stabilizing molecules. To apraise the role of the oligonucleotide sequence on the interaction mode, complexes were formed with eight G4-conformed oligonucleotides in which the three loops were either 5'-TTA-3' or 5'-AAA-3'. Spectra of ethidiums were sensitive to both lateral loops, opposite to the 3' and 5' G4 ends. The sequence of these loops are believed to be selective in the interaction mode of ethidiums for G4.

Previous studies have demonstrated that doxorubicin (DOX) encapsulated in polyisohexylcyano-acrylate nanospheres (NS-DOX) circumvented the resistance of breast cancer cells overexpressing P-glycoprotein (Pgp). Another protein is involved in multidrug resistance phenotype, the multidrug resistance associated protein (MRP1). We report that NS-DOX overcomes multidrug resistance in breast cancer cells overexpressing MRP1. Taking into account that anthracyclines are conjugated to or co-transported with glutathione by MRP1, these data suggest that probably due to ion pair formation (NS-DOX), MRP1 could not transport the anthracycline. Pgp is probably able to transport the ion pair drug complex and the mechanisms of drug resistance reversion in Pgp expressing cells need to be further elucidated.

The multidrug-resistance (MR) status of camptothecin (CPT) was investigated in colon adenocarcinoma HT29 cells, leukemia K562, and breast carcinoma MCF7 cells expressing P-glycoprotein (Pgp) and/or MR-associated protein (MRP1). The concentration that induced 50% growth inhibition (IC(50)) against CPT was 0.14 and 0.20 microM in parental K562/WT and MCF7/WT cells, respectively. The drug resistant subline KH30 and MCF7/VP cells, which both overexpress MRP1, presented IC(50) values of 0.63 and 3.10 microM, respectively. The resulting resistance indexes were 3.80 and 12.50, respectively. However, in KH300 cells, a cell line that preferentially overexpresses Pgp, the IC(50) of CPT was 0.08 microM and thus did not exhibit resistance against CPT. In MCF7/DoX cells, preferentially overexpressing Pgp, but also a significant level of MRP1, the IC(50) of CPT was 0.64 microM and thus presented a resistance index of 3.26 against CPT. The cytotoxic effect of CPT was modulated in cells expressing MRP1 (MCF7/VP, HT29 cells) by the specific MRP1 modulators, probenecid and MK571. These results led us to consider CPT as a substrate for MRP1 and a potential modulator of MRP1 activity. To test this hypothesis, we examined the ability of nontoxic concentrations of CPT to sensitize MRP1-overexpressing cells to daunorubicin (DNR). In MCF7/VP and KH30 cells, nontoxic concentrations of CPT were able to enhance cytotoxicity of DNR and its nuclear accumulation. Sequential and simultaneous associations of CPT (100 nM) and DNR provided complete reversal of resistance, thus showing a synergistic effect in KH30 cells. However, simultaneous association (with 10 or 20 nM CPT) had an additive effect in MCF7/VP. These data suggest that CPT could be proposed as a candidate for the reversal of the MRP1 phenotype at clinically achievable concentrations.

The effects of extracellular Mg2+ on both dynamic changes of [Ca2+]i and apoptosis rate were analysed. The consequences of spatial and temporal dynamic changes of intracellular Ca2+ on apoptosis, in thapsigargin- and the calcium-ionophore 4BrA23187-treated MCF7 cells were first determined. Both 4BrA23187 and thapsigargin induced an instant increase of intracellular Ca2+ concentrations ([Ca2+]i) which remained quite elevated (150 nM) and lasted for several hours. [Ca2+]i increases were equivalent in the cytosol and the nucleus. The treatments that induced apoptosis in MCF7 cells were systematically associated with high and sustained [Ca2+]i (150 nM) for several hours. The initial [Ca2+]i increase was not determinant in the events triggering apoptosis. Thapsigargin-mediated apoptosis and [Ca2+]i rise were abrogated when cells were pretreated with the calcium chelator BAPTA. The role of the extracellular Mg2+ concentration has been studied in thapsigargin treated cells. High (10 mM) extracellular Mg2+, caused an increase in basal [Mg2+]i from 0.8+/-0.3 to 1.6+/-0.5 mM. As compared to 1.4 mM extracellular Mg2+, 1 microM thapsigargin induces, in 10 mM Mg2+, a reduced percentage from 22 to 11% of fragmented nuclei, a lower sustained [Ca2+]i and a lower Ca2+ influx through the plasma membrane. In conclusion, the cell death induced by thapsigargin was dependent on high and sustained [Ca2+]i which was inhibited by high extracellular and intracellular Mg2+.

Candida albicans is an opportunistic pathogen, generally though to be of endogenous origin, with however reported outbreaks. Epidemilogy of C. albicans has been studied so far by genotypic methods mainly, including the classical RAPD analysis. Albeit powerful, genotypic techniques are expensive, time consuming and complex to implement. FTIR spectroscopy is simple, rapid, inexpensive and an increasingly used technique for the identification of microorganisms. As a phenotypic method, it provides rapid whole cells 'fingerprinting' using few consumables and can detect very subtle differences between strains of the same species. In this study, C. albicans strains isolated from 50 patients from six hospital units were collected and studied by FTIR spectroscopy and RAPD-PCR. Discrimination of strains was computed using classification algorithms on selected features of the spectral data. Results from 10 patients, for whom iterative sampling was possible, are presented and discussed. Emphasis was laid on the reproducibility of dat for strain-level identification. FTIR analysis shows that (a) the C. albicans spectra were different from one patient to another, (b) seven patients exhibit each a homogeneous group while three patients display each two groups of strains. RAPD-PCR and FTIR analyses correlate quite well showing that FTIR spectroscopy could be a potential epidemiological tool in the control of nosocomial fungal infections.

The rabbit Vx2 tumor is a fast-growing carcinoma model, which is commonly used to study different aspects of tumor behaviour under cancer treatments. The reduction of tumor viability and the degree of induced necrosis are the most common criteria to evaluate the efficacy of cancer treatments. The most recent developments in infrared microspectroscopy (IRMS) imaging aimed at automating the procedure of tissue recognition and quantification by using statistical methods and prediction algorithm. We used IRMS for the automatic characterization and quantification of the Vx2 liver tumor viability after a chemoembolization treatment. Twenty-eight rabbits with Vx2 liver tumor were included in this study: 20 rabbits were subjected to a Doxorubicin eluting beads (DEB) treatment and compared to a control (CTRL) group of 8 rabbits. The tumor bearing livers were resected, fixed in formalin and embedded in paraffin. Two adjacent sections were cut from each sample using a microtome. The first section was mounted on a calcium fluoride window suitable for IRMS imaging. The second section was put on a standard glass slide and stained with HES to serve as a control for IRMS imaging. On a first series of 14 different tumor sections (CTRL: 7 sections, DEB: 7 sections), we developed and validated a prediction algorithm. The protocol consisted of K-means (KM) clustering followed by linear discriminant analysis (LDA). The KM clustering was used to classify the spectra from the infrared images and to build a data base containing a large number of reference spectra (397.289 spectra) characteristics for tumor necrosis, viable tumor, fibrosis, liver parenchyma and liver parenchyma necrosis. Once the model validated, we empirically attributed a color for each type of tissue. Then, the predictive model was applied to infrared images of 52 new test tumor sections (CTRL: 9 sections, DEB: 43 sections). The result of the LDA model analysis is a false color image where each color corresponds to a type of tissue. The percentage of pixels corresponding to each color is automatically recorded by the LDA model. This advantage was used to calculate the mean percentage of surface occupied by each type of tissue and to determine the tumor viability after the DEB treatment. The LDA false color images reproduced the histological structures of Vx2 liver tumors. The sensitivity and specificity of the LDA model were high to 86.7% and 96.7% for the 5 tissue types respectively. For DEB group, the LDA model determined that the surface of necrotic tissue represented 77.68±23 % (CTRL group: 16.89±9 %, Mann Whitney: P Our results show that IR imaging coupled with LDA model analysis could be a helpful to easily assess tumor response. Citation Format: Hadrien D'inca, Florentina Pascale, Saida Homayra Ghegediban, Michel Wassef, Cyril Gobinet, Julien Namur, Alexandre Laurent, Michel Manfait. Fast and automated assessment of tumor response: Infrared imaging. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4292. doi:10.1158/1538-7445.AM2014-4292

Dermatologists need to combine different clinically relevant characteristics for a better understanding of skin health. These characteristics are usually measured by different techniques, and some of them are highly time consuming. Therefore, a predicting model based on Raman spectroscopy and partial least square (PLS) regression was developed as a rapid multiparametric method. The Raman spectra collected from the five upper- most micrometers of 11 healthy volunteers were fitted to different skin characteristics measured by independent appropriate methods (transepidermal water loss, hydration, pH, relative amount of ceramides, fatty acids, and cholesterol). For each parameter, the obtained PLS model presented correlation coefficients higher than R 2 ¼ 0.9. This model enables us to obtain all the aforementioned parameters directly from the unique Raman signature. In addition to that, in-depth Raman analyses down to 20 μm showed different balances between partially bound water and unbound water with depth. In parallel, the increase of depth was followed by an unfolding process of the proteins. The combinations of all these information led to a multiparametric inves- tigation, which better characterizes the skin status. Raman signal can thus be used as a quick response code (QR code). This could help dermatologic diagnosis of physiological variations and presents a possible extension to pathological characterization. © 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) (DOI: 10.1117/1.JBO.19.11.111603)

Multidrug-resistant (MDR) cancer cells have been shown to have an accumulation of glucosylceramide (GlcCer). In this study, we aim at localizing, at subcellular level, where these lipids accumulate. Neutral lipids and phospholipid containing organelles have been identified using confocal fluorescence microscopy and microspectrofluorometry by monitoring the emission of the fluorescent probe Nile-red. Data from confocal fluorescence microscopy analysis shows accumulation of neutral lipids in cytoplasmic droplets of MDR human carcinoma MCF7R cells. Microspectrofluorometric measurements show an increase of the gold-yellow emission intensity in MCF7R cells, corresponding to neutral lipids. Similar observations were made in human MDR vincristine-HL60 and doxorubicin-KB selected cells. Total cellular glucosylceramide (GlcCer) measurements using [(3)H]-palmitic acid and thin layer chromatography show a significant increase of GlcCer in MCF7R cells. Moreover, MCF7R cells treated with fluorescent GlcCer-bodipy exhibit an accumulation of this lipid in cytoplasmic droplets. Treatment of MCF7R cells with 1-phenyl-2-palmitoylamino-3-morpholino-1-propanolol (PPMP), a potent inhibitor of GlcCer synthase, attenuates the Nile-red fluorescence emission emanating from these structures and reverses MDR. Moreover, Golgi compartments stained with fluorescent PPMP-bodipy, show an increase in the Golgi compartments density. Treatment of MCF7R cells with cyclosporine A (CSA), tamoxifen (TMX) and 3'-azido-3'deoxythymidine (AZT) leads to the same effect observed in the presence of PPMP. Treatment of MCF7 and MCF7R with the beta-glucosidase inhibitor conduritol beta-epoxide (CBE) significantly increases resistance to daunorubicin only in MCF7R cells. These data demonstrate also that: (i) CSA, an inhibitor of MDR, has an additional target in addition to P-glycoprotein; and (ii) TMX (used in breast cancer treatment and prevention) and AZT (used in the treatment of HIV) could have side effects by disturbing lipid metabolism and inhibiting many cellular functions required in normal cells.

A new strain, exhibiting an intriguing pink-colored cell phenotype, was obtained after an encoding alpha-glucosidase gene from an archaebacteria Thermococcus hydrothermalis was cloned by functional complementation of a mal11 Saccharomyces cerevisiae mutant TCY70. The possible implications of the alpha-glucosidase on the cell wall were evaluated by infrared spectroscopy and data indicate a 30% decrease in mannoproteins and an increase in beta-glucans. The loss of mannoproteins was confirmed by experiments on cells deprived of peptidomannans. Modifications in the major components of the cell wall did not jeopardize cell viability. Such rapid optical spectroscopic method can be used to screen a wide range of yeast mutants.

Fourier transform infrared and Raman microspectroscopy are currently being developed as new methods for the rapid identification of clinically relevant microorganisms. These methods involve measuring spectra from microcolonies which have been cultured for as little as 6 h, followed by the nonsubjective identification of microorganisms through the use of multivariate statistical analyses. To examine the biological heterogeneity of microorganism growth which is reflected in the spectra, measurements were acquired from various positions within (micro)colonies cultured for 6, 12, and 24 h. The studies reveal that there is little spectral variance in 6-h microcolonies. In contrast, the 12- and 24-h cultures exhibited a significant amount of heterogeneity. Hierarchical cluster analysis of the spectra from the various positions and depths reveals the presence of different layers in the colonies. Further analysis indicates that spectra acquired from the surface of the colonies exhibit higher levels of glycogen than do the deeper layers of the colony. Additionally, the spectra from the deeper layers present with higher RNA levels than the surface layers. Therefore, the 6-h colonies with their limited heterogeneity are more suitable for inclusion in a spectral database to be used for classification purposes. These results also demonstrate that vibrational spectroscopic techniques can be useful tools for studying the nature of colony development and biofilm formation.

The in situ investigations of living cells are among the most exciting biomedical applications of the confocal multispectral imaging (CMSI). The latter is often noted as chemical imaging since provides structurally specific (particularly with Raman) information. This allows non-invasive mapping of molecular composition of the cells or intracellular distribution of small Raman-active chromophores such as drugs, ion-markers, etc. Here, we attempt a comparative analysis of the major advantages and limitations of surface-enhanced Raman (SER) and non-enhanced (spontaneous and resonance) Raman techniques as used for intracellular CMSI. Based on our experimental observations and on recent data from literature we conclude that, depending on application, the differences between the two methods can be dramatic and a choice of the proper approach is imposed during acquisition, treatment and interpretation. Moreover, while Raman and SER signal can be present on the same image, these however should be treated separately, in the different way. We discuss particularities of the mapping algorithms we use to generate Raman/SER images. Concerning SER, we compare different SER-active substrates in terms of imaging on cells, taking into account both principal (short-range/long-range enhancement of the Raman scattering) and practical (simplicity of preparation and manipulation) questions.

Dietary surveys performed in Western countries show magnesium intakes lower than the recommended dietary allowances, suggesting a large prevalence of magnesium deficiency. Low brain magnesium as well as impaired magnesium metabolism have also been reported in various diseases such as migraine. To detect these deficiencies, a non-invasive and sensitive test assessing magnesium status is needed. Because magnesium is an intracellular cation, either total or ionized magnesium (Mg(2+)) of blood cells were suggested as the most adequate tests. Total magnesium levels in plasma, erythrocytes and lymphocytes and Mg(2+) in lymphocytes were analyzed in a group of 29 migraine patients and 18 control subjects. Results show significantly lower concentrations of total magnesium in erythrocytes (50.7+/-4.7 vs. 53.5+/-2.9 mg/l; P

microspectrofluorometry amplified with possibility of the spectral imaging analysis. We have previously reported the useof the fluorescence emission of CPTs to study them qualitatively and quantitatively, namely, to follow the status of theirhydrolyzable lactone moiety. However, the intracellular investigation of CPTs using microspectrofluorometry with single