Analyse de maillages surfaciques par construction et comparaison de modèles moyens et par décomposition par graphes s’appuyant sur les courbures discrètes : application à l’étude de la cornée humaine

Réalisé en cotutelle avec Aix Marseille Université.

Déterminer le lien entre l’hyperglycémie et/ou l’hypoinsulinémie et la dégradation clinique observée avant le diagnostic du Diabète Associé à la Fibrose Kystique.

La Fibrose kystique (FK) est une maladie génétique qui se traduit par une destruction progressive des poumons et éventuellement, à la mort. La principale complication secondaire est le diabète associé à la FK (DAFK). Une dégradation clinique (perte de poids et de la fonction pulmonaire) accélérée est observée avant le diagnostic. L’objectif principal de mon projet de doctorat est de déterminer, par l’intermédiaire du test d’hyperglycémie provoquée par voie orale (HGPO), s’il existe un lien entre l’hyperglycémie et/ou l’hypoinsulinémie et la dégradation clinique observée avant le diagnostic du DAFK. Nous allons ainsi évaluer l’importance des temps intermédiaires de l’HGPO afin de simplifier le diagnostic d’une dysglycémie ainsi que d’établir des nouveaux marqueurs indicateurs de patients à risque d’une détérioration clinique. L’HGPO est la méthode standard utilisée dans la FK pour le diagnostic du DAFK. Nous avons démontré que les valeurs de glycémie obtenues au temps 90-min de l’HGPO seraient suffisantes pour prédire la tolérance au glucose des patients adultes avec la FK, autrement établie à l’aide des valeurs à 2-h de l’HGPO. Nous proposons des glycémies à 90-min de l’HGPO supérieure à 9.3 mmol/L et supérieure à 11.5 mmol/L pour détecter l’intolérance au glucose et le DAFK, respectivement. Une cause importante du DAFK est un défaut de la sécrétion d’insuline. Les femmes atteintes de la FK ont un risque plus élevé de développer le DAFK que les hommes, nous avons donc exploré si leur sécrétion était altérée. Contrairement à notre hypothèse, nous avons observé que les femmes avec la FK avaient une sécrétion d’insuline totale plus élevée que les hommes avec la FK, mais à des niveaux comparables aux femmes en santé. Le groupe de tolérance au glucose récemment proposé et nommé indéterminé (INDET : 60-min HGPO > 11.0 mais 2h-HGPO <7.8mmol/L) est à risque élevé de développer le DAFK. Par contre, les caractéristiques cliniques de ce groupe chez les patients adultes avec la FK n’ont pas été établies. Nous avons observé que le groupe INDET a une fonction pulmonaire réduite et similaire au groupe DAFK de novo et aucun des paramètres glucidiques et insulinémiques expliqueraient cette observation. Dans une population pédiatrique de patients avec la FK, une association a été rapportée entre une glycémie élevée à 60-min de l’HGPO et une fonction pulmonaire diminuée. Dans notre groupe de patients adultes avec la FK, il existe une association négative entre la glycémie à 60-min de l’HGPO et la fonction pulmonaire et une corrélation positive entre l’insulinémie à 60-min de l’HGPO et l’indice de masse corporelle (IMC). De plus, les patients avec une glycémie à 60-min HGPO > 11.0 mmol/L ont une fonction pulmonaire diminuée et une sensibilité à l’insuline basse alors que ceux avec une insulinémie à 60-min HGPO < 43.4 μU/mL ont un IMC ainsi qu’une fonction pulmonaire diminués. En conclusion, nous sommes le premier groupe à démontrer que 1) le test d’HGPO peut être raccourci de 30 min sans compromettre la catégorisation de la tolérance au glucose, 2) les femmes avec la FK démontrent une préservation de leur sécrétion de l’insuline, 3) le groupe INDET présente des anomalies précoces de la fonction pulmonaire comparable au groupe DAFK de novo et 4) la glycémie et l’insuline à la première heure de l’HGPO sont associées aux deux éléments clefs de la dégradation clinique. Il est crucial d’élucider les mécanismes pathophysiologiques importants afin de mieux prévoir la survenue de la dégradation clinique précédant le DAFK.

Bases moléculaires et cellulaires d’un trouble neurodéveloppemental causé par l’haploinsuffisance de SYNGAP1.

La déficience intellectuelle est la cause d’handicap la plus fréquente chez l’enfant. De nombreuses évidences convergent vers l’idée selon laquelle des altérations dans les gènes synaptiques puissent expliquer une fraction significative des affections neurodéveloppementales telles que la déficience intellectuelle ou encore l’autisme. Jusqu’à récemment, la majorité des mutations associées à la déficience intellectuelle a été liée au chromosome X ou à la transmission autosomique récessive. D’un autre côté, plusieurs études récentes suggèrent que des mutations de novo dans des gènes à transmission autosomique dominante, requis dans les processus de la plasticité synaptique peuvent être à la source d’une importante fraction des cas de déficience intellectuelle non syndromique. Par des techniques permettant la capture de l’exome et le séquençage de l’ADN génomique, notre laboratoire a précédemment reporté les premières mutations pathogéniques dans le gène à transmission autosomique dominante SYNGAP1. Ces dernières ont été associées à des troubles comportementaux tels que la déficience intellectuelle, l’inattention, des problèmes d’humeur, d’impulsivité et d’agressions physiques. D’autres patients sont diagnostiqués avec des troubles autistiques et/ou des formes particulières d’épilepsie généralisée. Chez la souris, le knock-out constitutif de Syngap1 (souris Syngap1+/-) résulte en des déficits comme l’hyperactivité locomotrice, une réduction du comportement associée à l’anxiété, une augmentation du réflexe de sursaut, une propension à l’isolation, des problèmes dans le conditionnement à la peur, des troubles dans les mémoires de travail, de référence et social. Ainsi, la souris Syngap1+/- représente un modèle approprié pour l’étude des effets délétères causés par l’haploinsuffisance de SYNGAP1 sur le développement de circuits neuronaux. D’autre part, il est de première importance de statuer si les mutations humaines aboutissent à l’haploinsuffisance de la protéine. SYNGAP1 encode pour une protéine à activité GTPase pour Ras. Son haploinsuffisance entraîne l’augmentation des niveaux d’activité de Ras, de phosphorylation de ERK, cause une morphogenèse anormale des épines dendritiques et un excès dans la concentration des récepteurs AMPA à la membrane postsynaptique des neurones excitateurs. Plusieurs études suggèrent que l’augmentation précoce de l’insertion des récepteurs AMPA au sein des synapses glutamatergiques contribue à certains phénotypes observés chez la souris Syngap1+/-. En revanche, les conséquences de l’haploinsuffisance de SYNGAP1 sur les circuits neuronaux GABAergiques restent inconnues. Les enjeux de mon projet de PhD sont: 1) d’identifier l’impact de mutations humaines dans la fonction de SYNGAP1; 2) de déterminer si SYNGAP1 contribue au développement et à la fonction des circuits GABAergiques; 3) de révéler comment l’haploinsuffisance de Syngap1 restreinte aux circuits GABAergiques affecte le comportement et la cognition. Nous avons publié les premières mutations humaines de type faux-sens dans le gène SYNGAP1 (c.1084T>C [p.W362R]; c.1685C>T [p.P562L]) ainsi que deux nouvelles mutations tronquantes (c.2212_2213del [p.S738X]; c.283dupC [p.H95PfsX5]). Ces dernières sont toutes de novo à l’exception de c.283dupC, héritée d’un père mosaïque pour la même mutation. Dans cette étude, nous avons confirmé que les patients pourvus de mutations dans SYNGAP1 présentent, entre autre, des phénotypes associés à des troubles comportementaux relatifs à la déficience intellectuelle. En culture organotypique, la transfection biolistique de l’ADNc de Syngap1 wild-type dans des cellules pyramidales corticales réduit significativement les niveaux de pERK, en fonction de l’activité neuronale. Au contraire les constructions plasmidiques exprimant les mutations W362R, P562L, ou celle précédemment répertoriée R579X, n’engendre aucun effet significatif sur les niveaux de pERK. Ces résultats suggèrent que ces mutations faux-sens et tronquante résultent en la perte de la fonction de SYNGAP1 ayant fort probablement pour conséquences d’affecter la régulation du développement cérébral. Plusieurs études publiées suggèrent que les déficits cognitifs associés à l’haploinsuffisance de SYNGAP1 peuvent émerger d’altérations dans le développement des neurones excitateurs glutamatergiques. Toutefois, si, et auquel cas, de quelle manière ces mutations affectent le développement des interneurones GABAergiques résultant en un déséquilibre entre l’excitation et l’inhibition et aux déficits cognitifs restent sujet de controverses. Par conséquent, nous avons examiné la contribution de Syngap1 dans le développement des circuits GABAergiques. A cette fin, nous avons généré une souris mutante knockout conditionnelle dans laquelle un allèle de Syngap1 est spécifiquement excisé dans les interneurones GABAergiques issus de l’éminence ganglionnaire médiale (souris Tg(Nkx2.1-Cre);Syngap1flox/+). En culture organotypique, nous avons démontré que la réduction de Syngap1 restreinte aux interneurones inhibiteurs résulte en des altérations au niveau de leur arborisation axonale et dans leur densité synaptique. De plus, réalisés sur des coupes de cerveau de souris Tg(Nkx2.1-Cre);Syngap1flox/+, les enregistrements des courants inhibiteurs postsynaptiques miniatures (mIPSC) ou encore de ceux évoqués au moyen de l’optogénétique (oIPSC) dévoilent une réduction significative de la neurotransmission inhibitrice corticale. Enfin, nous avons comparé les performances de souris jeunes adultes Syngap1+/-, Tg(Nkx2.1-Cre);Syngap1flox/+ à celles de leurs congénères contrôles dans une batterie de tests comportementaux. À l’inverse des souris Syngap1+/-, les souris Tg(Nkx2.1-Cre);Syngap1flox/+ ne présentent pas d’hyperactivité locomotrice, ni de comportement associé à l’anxiété. Cependant, elles démontrent des déficits similaires dans la mémoire de travail et de reconnaissance sociale, suggérant que l’haploinsuffisance de Syngap1 restreinte aux interneurones GABAergiques dérivés de l’éminence ganglionnaire médiale récapitule en partie certains des phénotypes cognitifs observés chez la souris Syngap1+/-. Mes travaux de PhD établissent pour la première fois que les mutations humaines dans le gène SYNGAP1 associés à la déficience intellectuelle causent la perte de fonction de la protéine. Mes études dévoilent, également pour la première fois, l’influence significative de ce gène dans la régulation du développement et de la fonction des interneurones. D’admettre l’atteinte des cellules GABAergiques illustre plus réalistement la complexité de la déficience intellectuelle non syndromique causée par l’haploinsuffisance de SYNGAP1. Ainsi, seule une compréhension raffinée de cette condition neurodéveloppementale pourra mener à une approche thérapeutique adéquate.

Neurotransmitters Functional Balance in Neurodegenerative Disease Management:recent Advances

The recent developments in neurobiology have rendered new prominence and potential to study about the structure and function of brain and related disorders. Human behaviour is the net result of neural control of the communication between brain cells. Neurotransmitters are chemicals that are used to relay, amplify and modulate electrical signals between neurons and/or another cell. It mediates rapid intercellular communication through the nervous system by interacting with cell surface receptors. These receptors often trigger second messenger signaling pathways that regulate the activity of ion channels. The functional balance of different neurotransmitters such as Acetylcholine (Ach), Dopamine (DA), Serotonin (5-HT), Norepinephrine (NE), Epinephrine (EPI), Glutamate and Gamma amino butyric acid (GABA) regulates the growth, division and other vital functions of a normal cell / organism (Sudha, 1998). Any change in neurotransmitters' functional balance will result in the failure of cell function and may lead to the occurrence of diseases. Abnormalities in the production or functioning of neurotransmitters have been implicated in a number of neurological disorders like Schizophrenia, Alzheimer's, Epilepsy, Depression and Parkinson's disease. Changes in central and peripheral neuronal signaling system is also noted in diabetes, cancer, cell proliferation, alcoholism and aging. Elucidation of neurotransmitters receptor interaction pathways and gene expression regulation by second messengers and transcriptional factors in health and disease conditions can lead to new small molecules for development of therapeutic agents to improve neurological disease conditions. Increased awareness of the global effects of neurological disorders should help health care planners and the neurological community set appropriate priorities in research, prevention, and management of these diseases.

DETECTION OF BILIARY FUNCTIONAL PROBLEMS USING MICROWAVES

This article reports a new in vitro bile analysis based on the measurement of the dielectric properties at microwave frequencies. The measurements were made using rectangular cavity perturbation technique at the S-band of microwave frequency with the different samples of bile obtained from healthy persons as well as from patients. It is observed that an appreciable change in the dielectric properties of patient’s samples with the normal healthy samples and these measurements were in good agreement with clinical analysis. These results prove an alternative in-vitro method of detecting bile abnormalities based on the measurement of the dielectric properties of bile samples using microwaves without surgical procedure.

HUMAN PERICARDIAL FLUID AT MICROWAVE FREQUENCIES

This article reports a new method of analyzing pericardial fluid based on the measurement of the dielectric properties at microwave frequencies. The microwave measurements were performed by rectangular cavity perturbation method in the S-band of microwave frequency with the pericardial fluid from healthy persons as well as from patients suffering from pericardial effusion. It is observed that a remarkable change in the dielectric properties of patient samples with the normal healthy samples and these measurements were in good agreement with clinical analysis. This measurement technique and the method of extraction of pericardial fluid are simple. These results give light to an alternative in-vitro method of diagnosing onset pericardial effusion abnormalities using microwaves without surgical procedure.

Bone marrow cells differentiation to neurons in the rat brain using Serotonin and GABA:Their role on glutamate receptors, IP3, cAMP and cGMP functional regulation in unilateral Parkinsonism induced by 6-hydroxydopamine

Parkinson's disease is a chronic progressive neurodegenerative movement disorder characterized by a profound and selective loss of nigrostriatal dopaminergic neurons. Our findings demonstrated that glutamatergic system is impaired during PD. The evaluations of these damages have important implications in understanding the molecular mechanism underlying motor, cognitive and memory deficits in PD. Our results showed a significant increase of glutamate content in the brain regions of 6- OHDA infused rat compared to control. This increased glutamate content caused an increase in glutamatergic and NMDA receptors function. Glutamate receptor subtypes- NMDAR1, NMDA2B and mGluR5 have differential regulatory role in different brain regions during PD. The second messenger studies confirmed that the changes in the receptor levels alter the IP3, cAMP and cGMP content. The alteration in the second messengers level increased the expression of pro-apoptotic factors - Bax and TNF-α, intercellular protein - α-synuclein and reduced the expression of transcription factor - CREB. These neurofunctional variations are the key contributors to motor and cognitive abnormalities associated with PD. Nestin and GFAP expression study confirmed that 5-HT and GABA induced the differentiation and proliferation of the BMC to neurons and glial cells in the SNpc of rats. We also observed that activated astrocytes are playing a crucial role in the proliferation of transplanted BMC which makes them significant for stem cell-based therapy. Our molecular and behavioural results showed that 5-HT and GABA along with BMC potentiates a restorative effect by reversing the alterations in glutamate receptor binding, gene expression and behaviour abnormality that occur during PD. The therapeutic significance in Parkinson’s disease is of prominence.

Fractal based techniques for classification of mammograms and identification of microcalcifications

After skin cancer, breast cancer accounts for the second greatest number of cancer diagnoses in women. Currently the etiologies of breast cancer are unknown, and there is no generally accepted therapy for preventing it. Therefore, the best way to improve the prognosis for breast cancer is early detection and treatment. Computer aided detection systems (CAD) for detecting masses or micro-calcifications in mammograms have already been used and proven to be a potentially powerful tool , so the radiologists are attracted by the effectiveness of clinical application of CAD systems. Fractal geometry is well suited for describing the complex physiological structures that defy the traditional Euclidean geometry, which is based on smooth shapes. The major contribution of this research include the development of • A new fractal feature to accurately classify mammograms into normal and normal (i)With masses (benign or malignant) (ii) with microcalcifications (benign or malignant) • A novel fast fractal modeling method to identify the presence of microcalcifications by fractal modeling of mammograms and then subtracting the modeled image from the original mammogram. The performances of these methods were evaluated using different standard statistical analysis methods. The results obtained indicate that the developed methods are highly beneficial for assisting radiologists in making diagnostic decisions. The mammograms for the study were obtained from the two online databases namely, MIAS (Mammographic Image Analysis Society) and DDSM (Digital Database for Screening Mammography.

Pathological Investigations in penaeid Prawns

The thesis embodies the results of the studies carried out on certain diseases affecting the commercially important penaeid prawns in the capture and culture fisheries of the southwest and southeast coasts of india during october, 1981 to april 1985.initially a survey is conducted to obtain information and to understand the commom diseases and abnormalities occurring in the penaeid prawms in nature and those farmed. A result of the survey then cases of diseases and abnormalities are reported. These include tumour like growth soft prawm syndrome, tail necrosis brown spot disease, red rostrum, ciliate infestation ,helminth parasitisation,metacercarial infestation and bopyrid infestation in the penaeid prawns such as penaeus indicus p. monodon , p. semisulcatus ,Metapenaeus dobsoni and m.affinis.The symptoms ,occurrence and incidence of each of the above cases are provided along with the information on environmental factors such as salinity,dissolved oxygen,temperature and ph of the water from the collection sites. The nature of the disease,the tissuse of the host that are affected by the infection or infestation or by the pathogen ,and the actors influencing the infection in each of the ten cases are studied histopathologically and discussed. In the light of the available published information, the control measures for the different diseases of penaeid prawns are presented and discussed.

Studies on the pathobiology of penaeid larvae and postlarvae

The thesis presents the results of the studies carried out on certain diseases encountered in the larvae and postlarvae of penaeid prawns raised in the hatcheries at Cochin, Madras and Mandapam Camp during September 1985- April 1988. In the preliminary survey carried out to understand the common diseases occurring in the penaeid larvae and postlarvae, seven cases of diseases and abnormalities were encountered. These included ciliate infestation, Nit_zschia closteriurn infestation, parasitic protozoaninfection, parasitic dinoflagellate infection, appendage necrosis, heteromorphic eye and abnormal eggs and deformed nauplii .The clinical signs, seasonal occurrence and incidence of each of the above cases were provided along with the information on environmental factors such as salinity, dissolved oxygen, temperature and pH of the rearing medium. The Thésis is presented in nine chapters. Chapter 1 surveys the literature on the diseases of penaeid larvae, postlarvae and adult prawns from India and abroad. This is followed by a chapter on the material and methods employed during the present investigation. In the third chapter, seven cases of diseases and abnormalities encountered in the larvae and postlarvae of Penaeus indicus and p. semisulcatus during the survey carried out in the hatcheries located at different centres of Central‘ Marine Fisheries Research Institute are presented and discussed .A bacterium responsible for appendage necrosis was isolated and its taxonomy was studied. It was Gram-negative, fermentative and motile rod. It was sensitive to vibriostatic compound, 0/129. This bacterium was found to be a new isolate of vibrio on the basis of its morphological, biological, physiological and biochemical characters and comparison of these characters with those described for other related vibrios. This new isolate of vibrio was deposited in vibro Referrence Laboratory, Centres for Disease Control, Georgia, U.S.A. and coded as vibrio sp. 2448-88.

Investigations on pathologies in higher spin field theories

The present thesis deals with the studies on certain aspects of pathological higher field theories .It brings to light some new abnormalities and new samples of abnormal theories and also puts forward a novel approach towards the construction of trouble free theories

“Improved Feature Extraction and Classification Techniques for Multispectral Brain Magnetic Resonance Images”

Magnetic Resonance Imaging (MRI) is a multi sequence medical imaging technique in which stacks of images are acquired with different tissue contrasts. Simultaneous observation and quantitative analysis of normal brain tissues and small abnormalities from these large numbers of different sequences is a great challenge in clinical applications. Multispectral MRI analysis can simplify the job considerably by combining unlimited number of available co-registered sequences in a single suite. However, poor performance of the multispectral system with conventional image classification and segmentation methods makes it inappropriate for clinical analysis. Recent works in multispectral brain MRI analysis attempted to resolve this issue by improved feature extraction approaches, such as transform based methods, fuzzy approaches, algebraic techniques and so forth. Transform based feature extraction methods like Independent Component Analysis (ICA) and its extensions have been effectively used in recent studies to improve the performance of multispectral brain MRI analysis. However, these global transforms were found to be inefficient and inconsistent in identifying less frequently occurred features like small lesions, from large amount of MR data. The present thesis focuses on the improvement in ICA based feature extraction techniques to enhance the performance of multispectral brain MRI analysis. Methods using spectral clustering and wavelet transforms are proposed to resolve the inefficiency of ICA in identifying small abnormalities, and problems due to ICA over-completeness. Effectiveness of the new methods in brain tissue classification and segmentation is confirmed by a detailed quantitative and qualitative analysis with synthetic and clinical, normal and abnormal, data. In comparison to conventional classification techniques, proposed algorithms provide better performance in classification of normal brain tissues and significant small abnormalities.

classification and content based retrieval of digital mammograms and placental sonograms

Image processing has been a challenging and multidisciplinary research area since decades with continuing improvements in its various branches especially Medical Imaging. The healthcare industry was very much benefited with the advances in Image Processing techniques for the efficient management of large volumes of clinical data. The popularity and growth of Image Processing field attracts researchers from many disciplines including Computer Science and Medical Science due to its applicability to the real world. In the meantime, Computer Science is becoming an important driving force for the further development of Medical Sciences. The objective of this study is to make use of the basic concepts in Medical Image Processing and develop methods and tools for clinicians’ assistance. This work is motivated from clinical applications of digital mammograms and placental sonograms, and uses real medical images for proposing a method intended to assist radiologists in the diagnostic process. The study consists of two domains of Pattern recognition, Classification and Content Based Retrieval. Mammogram images of breast cancer patients and placental images are used for this study. Cancer is a disaster to human race. The accuracy in characterizing images using simplified user friendly Computer Aided Diagnosis techniques helps radiologists in detecting cancers at an early stage. Breast cancer which accounts for the major cause of cancer death in women can be fully cured if detected at an early stage. Studies relating to placental characteristics and abnormalities are important in foetal monitoring. The diagnostic variability in sonographic examination of placenta can be overlooked by detailed placental texture analysis by focusing on placental grading. The work aims on early breast cancer detection and placental maturity analysis. This dissertation is a stepping stone in combing various application domains of healthcare and technology.

Spectral clustering independent component analysis for tissue classification from brain MRI

A spectral angle based feature extraction method, Spectral Clustering Independent Component Analysis (SC-ICA), is proposed in this work to improve the brain tissue classification from Magnetic Resonance Images (MRI). SC-ICA provides equal priority to global and local features; thereby it tries to resolve the inefficiency of conventional approaches in abnormal tissue extraction. First, input multispectral MRI is divided into different clusters by a spectral distance based clustering. Then, Independent Component Analysis (ICA) is applied on the clustered data, in conjunction with Support Vector Machines (SVM) for brain tissue analysis. Normal and abnormal datasets, consisting of real and synthetic T1-weighted, T2-weighted and proton density/fluid-attenuated inversion recovery images, were used to evaluate the performance of the new method. Comparative analysis with ICA based SVM and other conventional classifiers established the stability and efficiency of SC-ICA based classification, especially in reproduction of small abnormalities. Clinical abnormal case analysis demonstrated it through the highest Tanimoto Index/accuracy values, 0.75/98.8%, observed against ICA based SVM results, 0.17/96.1%, for reproduced lesions. Experimental results recommend the proposed method as a promising approach in clinical and pathological studies of brain diseases

Brain Tissue Classification from Multispectral MRI by Wavelet based Principal Component Analysis

In this paper, we propose a multispectral analysis system using wavelet based Principal Component Analysis (PCA), to improve the brain tissue classification from MRI images. Global transforms like PCA often neglects significant small abnormality details, while dealing with a massive amount of multispectral data. In order to resolve this issue, input dataset is expanded by detail coefficients from multisignal wavelet analysis. Then, PCA is applied on the new dataset to perform feature analysis. Finally, an unsupervised classification with Fuzzy C-Means clustering algorithm is used to measure the improvement in reproducibility and accuracy of the results. A detailed comparative analysis of classified tissues with those from conventional PCA is also carried out. Proposed method yielded good improvement in classification of small abnormalities with high sensitivity/accuracy values, 98.9/98.3, for clinical analysis. Experimental results from synthetic and clinical data recommend the new method as a promising approach in brain tissue analysis.