Valérie Untereiner
University of Reims Champagne-Ardenne
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Featured researches published by Valérie Untereiner.
Laboratory Investigation | 2010
Jacek Pijanka; Ganesh D. Sockalingum; Achim Kohler; Ying Yang; Florence Draux; Gary Parkes; K. P. Lam; Dave Collins; Paul Dumas; Christophe Sandt; Daniel Gey van Pittius; Gill Douce; Michel Manfait; Valérie Untereiner; Josep Sulé-Suso
Over the last few years, FTIR spectroscopy has become a potential analytical method in tissue and cell studies for cancer diagnosis. This has opened a way towards clinical applications such as a tool that would scan samples to assess the presence or absence of malignant cells in biopsies, or as an aid to help pathologists to better characterise those cells that are suspicious but not diagnostic for cancer. The latter application has the problem that in order to assess these cells pathologists would have already dealt with stained samples. Therefore, it is important to understand how staining would affect the spectra of cells. To this purpose, we have conducted this study in order to clarify, first, how haematoxylin and eosin (H&E) and Papanicolau (Pap) stainings affect the spectra of single cells and, second, whether FTIR spectroscopy could differentiate between stained lung cancer cells and their normal counterparts. Furthermore, different cell preparations (cytospin, and smear) used in cytological diagnosis were assessed. Experiments performed using a bright infrared (IR) source (synchrotron) showed that both H&E and Pap staining induced marked changes in the lipid and amide-II band regions. Despite this, FTIR spectroscopy of already stained cells is capable of differentiating between lung cancer cells and their normal counterparts. The clinical applications of this methodology are discussed.
Journal of Biomedical Optics | 2012
Jayakrupakar Nallala; Cyril Gobinet; Marie Danielle Diebold; Valérie Untereiner; Olivier Bouché; Michel Manfait; Ganesh D. Sockalingum; Olivier Piot
Abstract. Innovative diagnostic methods are the need of the hour that could complement conventional histopathology for cancer diagnosis. In this perspective, we propose a new concept based on spectral histopathology, using IR spectral micro-imaging, directly applied to paraffinized colon tissue array stabilized in an agarose matrix without any chemical pre-treatment. In order to correct spectral interferences from paraffin and agarose, a mathematical procedure is implemented. The corrected spectral images are then processed by a multivariate clustering method to automatically recover, on the basis of their intrinsic molecular composition, the main histological classes of the normal and the tumoral colon tissue. The spectral signatures from different histological classes of the colonic tissues are analyzed using statistical methods (Kruskal-Wallis test and principal component analysis) to identify the most discriminant IR features. These features allow characterizing some of the biomolecular alterations associated with malignancy. Thus, via a single analysis, in a label-free and nondestructive manner, main changes associated with nucleotide, carbohydrates, and collagen features can be identified simultaneously between the compared normal and the cancerous tissues. The present study demonstrates the potential of IR spectral imaging as a complementary modern tool, to conventional histopathology, for an objective cancer diagnosis directly from paraffin-embedded tissue arrays.
Analyst | 2013
Gérard Thiéfin; Cyril Gobinet; Valérie Untereiner; B. Bernard-Chabert; A. Heurgué; C. Truntzer; P. Hillon; Michel Manfait; P. Ducoroy; Ganesh D. Sockalingum
Hepatocellular carcinoma (HCC) is the third most common cause of cancer death worldwide. The development of novel diagnostic methods is needed to detect tumours at an early stage when patients are eligible for curative treatments. The purpose of this proof-of-concept study was to determine if micro-Raman spectroscopy applied to the sera of cirrhotic patients may be an alternative method for rapidly discriminating patients with and without HCC. Serum samples were collected from 2 groups of patients: cirrhotic patients with HCC (n = 37) and without HCC (n = 34). Two different approaches were used, dried serum drops and freeze-dried serum, and micro-Raman spectra were acquired in the point-mode with a 785 nm laser excitation in the spectral range of 600-1800 cm(-1). Spectra were quality-tested and pre-processed (smoothing, baseline subtraction, vector normalization). Using principal component analysis, the 2 classes, corresponding to cirrhotic patients with and without HCC, could not be differentiated. In contrast, the support vector machine method using the leave-one-out cross validation procedure was able to correctly classify the two groups of patients with an overall rate of accuracy of 84.5% to 90.2% for dried serum drops and 86% to 91.5% for freeze-dried serum. These results are promising and support the concept that serum micro-Raman spectroscopy may become a useful diagnostic tool to detect biomarkers in the field of cancer, as described here for distinguishing between cirrhotic patients with and without HCC.
Biochimica et Biophysica Acta | 2013
Marie Guilbert; Georges Said; Teddy Happillon; Valérie Untereiner; Roselyne Garnotel; Pierre Jeannesson; Ganesh D. Sockalingum
BACKGROUND Non-enzymatic glycation is the main post-translational modification of long-life proteins observed during aging and physiopathological processes such as diabetes and atherosclerosis. Type I collagen, the major component in matrices and tissues, represents a key target of this spontaneous reaction which leads to changes in collagen biomechanical properties and by this way to tissue damages. METHODS The current study was performed on in vitro glycated type I collagens using vibrational microspectroscopies, FT-IR and Raman, to highlight spectral features related to glycation effect. RESULTS AND CONCLUSIONS We report a conservation of the triple-helical structure of type I collagen and noticeable variations in the exposure of proline upon glycation. Our data also show that the carbohydrate band can be a good spectroscopic marker of the glycation level, correlating well with the fluorescent AGEs formation with sugar addition. GENERAL SIGNIFICANCE These non-invasive and label-free methods can shed new light on the spectral features of glycated collagens and represent an effective tool to study changes in the extracellular matrix observed in vivo during aging or on the advent of a pathological situation.
Analytical and Bioanalytical Chemistry | 2009
Valérie Untereiner; Olivier Piot; M.-D. Diebold; Olivier Bouché; Elodie Scaglia; Michel Manfait
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.
Analytical Methods | 2015
Lila Lovergne; Graeme Clemens; Valérie Untereiner; Roman A. Lukaszweski; Ganesh D. Sockalingum; Matthew J. Baker
Biofluids, such as serum and plasma, represent an ideal medium for the diagnosis of disease due to their ease of collection, that can be performed worldwide, and their fundamental involvement in human function. The ability to diagnose disease rapidly with high sensitivity and specificity is essential to exploit advances in new treatments, in addition the ability to rapidly profile disease without the need for large scale medical equipment (e.g. MRI, CT) would enable closer patient monitoring with reductions in mortality and morbidity. Due to these reasons vibrational spectroscopy has been investigated as a diagnostic tool and has shown great promise for serum spectroscopic diagnostics. However, the optimum sample preparation, optimum sampling mode and the effect of sample preparation on the serum spectrum are unknown. This paper examines repeatability and reproducibility of attenuated total reflection (ATR) compared to transmission sampling modes and their associated serum sample preparation with spectral standard deviation of 0.0015 (post pre-processing) achievable for both sampling modes proving the collection of robust spectra. In addition this paper investigates the optimum serum sample dilution factor for use in high throughput transmission mode analysis with a 3-fold dilution proving optimum and shows the use of ATR and transmission mode spectroscopy to illuminate similar discriminatory differences in a patient study. These fundamental studies provide proof of robust spectral collection that will be required to enable clinical translation of serum spectroscopic diagnostics.
Scientific Reports | 2017
Antoine Azan; Valérie Untereiner; Cyril Gobinet; Ganesh D. Sockalingum; Marie Breton; Olivier Piot; Lluis M. Mir
Confocal Raman microspectroscopy was used to study the interaction between pulsed electric fields and live cells from a molecular point of view in a non-invasive and label-free manner. Raman signatures of live human adipose-derived mesenchymal stem cells exposed or not to pulsed electric fields (8 pulses, 1 000 V/cm, 100 μs, 1 Hz) were acquired at two cellular locations (nucleus and cytoplasm) and two spectral bands (600–1 800 cm−1 and 2 800–3 100 cm−1). Vibrational modes of proteins (phenylalanine and amide I) and lipids were found to be modified by the electropermeabilization process with a statistically significant difference. The relative magnitude of four phenylalanine peaks decreased in the spectra of the pulsed group. On the contrary, the relative magnitude of the amide I band at 1658 cm−1 increased by 40% when comparing pulsed and control group. No difference was found between the control and the pulsed group in the high wavenumber spectral band. Our results reveal the modification of proteins in living cells exposed to pulsed electric fields by means of confocal Raman microspectroscopy.
Analytical Chemistry | 2017
Antoine Azan; Valérie Untereiner; Lucie Descamps; Caterina Merla; Cyril Gobinet; Marie Breton; Olivier Piot; Lluis M. Mir
This study reports a comprehensive analysis of the effect of 100 μs electric pulses on the biochemical composition of live cells using a label-free approach, confocal Raman microspectroscopy. We investigated different regions of interest around the nucleus of the cells and the dose-effect relationship related to different electric pulse parameters. We also extended the study to another cell type. Membrane resealing was monitored by pulsing the cells in reversible or irreversible electropermeabilization condition at different temperatures. Our results confirmed a previous publication showing that proteins and lipids were highly impacted by the delivery of electric pulses. These chemical changes were similar in different locations around the cell nucleus. By sweeping the field magnitude, the number of electric pulses, or their repetition rate, the Raman signatures of live cells appeared to be related to the electropermeabilization state, verified by Yo-Pro-1 uptake. We also demonstrated that the chemical changes in the Raman signatures were cell-dependent even if common features were noticed between the two cell types used.
Cancer Research | 2010
Jayakrupakar Nallala; Cyril Gobinet; Olivier Piot; Valérie Untereiner; Marie Danièle Diebold; Olivier Bouché; Ganesh D. Sockalingum; Michel Manfait
Purpose: Colorectal cancers are the third most common type and second leading cause of cancer-related deaths in Western world. Histopathology is the gold standard method for diagnosis of colon cancers. To improve cancer diagnosis, ensure an effective treatment and better efficacy of treatment modalities, it is important to develop effective diagnostic method more reliable in terms of biochemical changes that can be detected in a cancerous tissue. To this end, we have developed spectral histopathology based on infrared (IR) imaging. The aims of this study are therefore to: (a) examine, using FTIR spectroscopy, the molecular changes between normal and tumoral colon tissues, (b) exploit the potentials of IR imaging to identify new diagnostic markers, and (c) develop an algorithm which could be applied in routine as a diagnostic tool directly and automatically on new unknown samples. Experimental procedure: IR imaging is a promising technique which has the potential to reveal intrinsic bio-molecular information in a tissue by probing vibrational motions of chemical bonds, thus giving a fingerprint of the composition and the structures. An IR imaging system (Spotlight 300, Perkin Elmer, Les Ulys, France) equipped with nitrogen-cooled 16-element MCT detector was calibrated to acquire images at 6.25 µm spatial and 4 cm −1 spectral resolutions averaged to 16 accumulations from 10µm thick sections of colon tissues placed on a calcium fluoride IR transparent window. These sections were embedded in paraffin block and stabilized in agarose matrix of a tissue micro array (TMA) slide consisting of 13 spots, each 3 mm in diameter. Adjacent 10 µm sections from the same TMA block were HE 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2741.
Chemical Society Reviews | 2016
Matthew J. Baker; Shawn R. Hussain; Lila Lovergne; Valérie Untereiner; Caryn Hughes; Roman A. Lukaszewski; Gérard Thiéfin; Ganesh D. Sockalingum