Добірка наукової літератури з теми "Allergen microarrays"

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Статті в журналах з теми "Allergen microarrays"

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Sokolov, Pavel, Irina Evsegneeva, Alexander Karaulov, Alyona Sukhanova, and Igor Nabiev. "Allergen Microarrays and New Physical Approaches to More Sensitive and Specific Detection of Allergen-Specific Antibodies." Biosensors 14, no. 7 (July 20, 2024): 353. http://dx.doi.org/10.3390/bios14070353.

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The prevalence of allergic diseases has increased tremendously in recent decades, which can be attributed to growing exposure to environmental triggers, changes in dietary habits, comorbidity, and the increased use of medications. In this context, the multiplexed diagnosis of sensitization to various allergens and the monitoring of the effectiveness of treatments for allergic diseases become particularly urgent issues. The detection of allergen-specific antibodies, in particular, sIgE and sIgG, is a modern alternative to skin tests due to the safety and efficiency of this method. The use of allergen microarrays to detect tens to hundreds of allergen-specific antibodies in less than 0.1 mL of blood serum enables the transition to a deeply personalized approach in the diagnosis of these diseases while reducing the invasiveness and increasing the informativeness of analysis. This review discusses the technological approaches underlying the development of allergen microarrays and other protein microarrays, including the methods of selection of the microarray substrates and matrices for protein molecule immobilization, the obtainment of allergens, and the use of different types of optical labels for increasing the sensitivity and specificity of the detection of allergen-specific antibodies.
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Klimek, L., D. Vetter, L. von Bernus, and C. Thorn. "Allergen-Microarrays für die molekulare Komponentendiagnostik von Typ-I-Allergien." HNO 59, no. 10 (December 22, 2010): 988–93. http://dx.doi.org/10.1007/s00106-010-2224-5.

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Romantowski, Jan, Aleksandra Górska, Grażyna Moszkowska, Julia Kulczycka, Karolina Minkowska, Agata Rolewicz, Marita Nittner-Marszalska, and Marek Niedoszytko. "Atopy and Multisensitizations in Specific IgE Microarrays and Their Impact on Severe Asthma." Life 12, no. 10 (September 29, 2022): 1520. http://dx.doi.org/10.3390/life12101520.

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(1) Asthma is a chronic inflammatory airway disease. Around 3–10% of patients experience severe refractory asthma. These patients with high symptom intensity and frequent exacerbations present a challenge for allergologists. Their allergic vs. non-allergic profile might be different from the standard asthmatic group and this difference is vital in qualifying for anti-IgE biologicals. The aim of the study was to analyze multiple sensitizations in patients with severe asthma and assess their impact on the course of the disease. (2) Forty-two patients with severe asthma according to GINA were enrolled. They experienced at least two exacerbations during the past year and had uncontrolled asthma despite high inhaled steroid use. A microarray serum Alex test (allergen-specific IgE to 295 extracts and components) was performed together with Complete Blood Count tests, the Asthma Control Questionnaire (ACQ), the Mini Asthma Quality of Life Questionnaire (MiniAQLQ), and spirometry. (3) There were 29 female and 13 male patients. The patient mean age was 50.4 (22–70). In 25 (60%) patients, inhalant sensitizations were detected. In 9 (21%) cases, a new perennial allergen was discovered that might enable anti-IgE treatment in the future. In the entire studied group, 8 patients (19%) would still not qualify for anti-IgE, anti-IL4, or anti-IL5 treatment. A linear regression analysis revealed that a Canis familiaris allergen (Can f 1) correlated with worse asthma control in ACQ. An Aspergillus allergen (Asp f 6) correlated negatively with Forced Expiratory Volume in one second (FEV1). (4) The study presents the usefulness of the ALEX test in 21% of patients with severe asthma in qualification for anti-IgE treatment. It highlights the impact of canine and Aspergillus sensitizations on worse control in patients with severe asthma.
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Cretich, Marina, Daniela Breda, Francesco Damin, Marta Borghi, Laura Sola, Selim M. Unlu, Samuele E. Burastero, and Marcella Chiari. "Allergen microarrays on high-sensitivity silicon slides." Analytical and Bioanalytical Chemistry 398, no. 4 (August 22, 2010): 1723–33. http://dx.doi.org/10.1007/s00216-010-4077-x.

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Jeon, Hyunjin, Joo Hyun Jung, Yoonji Kim, B.S., Youngeun Kwon, and Seon Tae Kim. "Allergen Microarrays forIn VitroDiagnostics of Allergies: Comparison with ImmunoCAP and AdvanSure." Annals of Laboratory Medicine 38, no. 4 (July 28, 2018): 338–47. http://dx.doi.org/10.3343/alm.2018.38.4.338.

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Szameit, Sandra, Elisabeth Weber, and Christa Noehammer. "DNA microarrays provide new options for allergen testing." Expert Review of Molecular Diagnostics 9, no. 8 (November 2009): 843–50. http://dx.doi.org/10.1586/erm.09.63.

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Baumgart, Karl. "The whether, whither or wither of allergen microarrays." Pathology 56 (February 2024): S31. http://dx.doi.org/10.1016/j.pathol.2023.12.114.

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Romantowski, Jan, Aleksandra Górska, Marek Niedoszytko, Theo Gulen, Marta Gruchała-Niedoszytko, Bogusław Nedoszytko, Magdalena Lange, et al. "A Challenge for Allergologist: Application of Allergy Diagnostic Methods in Mast Cell Disorders." International Journal of Molecular Sciences 22, no. 3 (February 1, 2021): 1454. http://dx.doi.org/10.3390/ijms22031454.

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Primary and secondary mast cell activation syndromes (MCAS) can occur in patients with mastocytosis. During the past few years our knowledge about the pathogenesis and disease-triggering mechanisms in MCAS and mastocytosis have increased substantially. Whereas mastocytosis is characterized by an accumulation of neoplastic (clonal) mast cells (MC) in various organ systems, MCAS is defined by a massive and systemic activation of these cells. Mast cells are crucial effector cells in allergic diseases, thus their elevated number and activation can cause severe anaphylactic reactions and MCAS in patients with mastocytosis. However, these cells may also degranulate spontaneously or degranulate in response to non-allergic triggers leading to clinical symptoms. In mastocytosis patients, such symptoms may lead to the diagnosis of a primary MCAS. The diagnosis of a concomitant allergy in mastocytosis patients is challenging. In these patients, a mixed form (primary and secondary) of MCAS may be diagnosed. These patients may also suffer from life-threatening anaphylactic reactions when exposed to allergens. In these cases, the possibility of severe side effects of in vivo provocations can sometimes also limit diagnostic evaluations. In the current article, we discuss the diagnosis and management of patients suffering from mastocytosis and concomitant MCAS, with special emphasis on novel diagnostic tests and management, including allergen microarrays, recombinant allergen analysis, basophil activation tests, optimal prophylaxis, and specific therapies.
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Chinnasamy, Thiruppathiraja, Loes I. Segerink, Mats Nystrand, Jesper Gantelius, and Helene Andersson Svahn. "Point-of-Care Vertical Flow Allergen Microarray Assay: Proof of Concept." Clinical Chemistry 60, no. 9 (September 1, 2014): 1209–16. http://dx.doi.org/10.1373/clinchem.2014.223230.

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Abstract BACKGROUND Sophisticated equipment, lengthy protocols, and skilled operators are required to perform protein microarray-based affinity assays. Consequently, novel tools are needed to bring biomarkers and biomarker panels into clinical use in different settings. Here, we describe a novel paper-based vertical flow microarray (VFM) system with a multiplexing capacity of at least 1480 microspot binding sites, colorimetric readout, high sensitivity, and assay time of <10 min before imaging and data analysis. METHOD Affinity binders were deposited on nitrocellulose membranes by conventional microarray printing. Buffers and reagents were applied vertically by use of a flow controlled syringe pump. As a clinical model system, we analyzed 31 precharacterized human serum samples using the array system with 10 allergen components to detect specific IgE reactivities. We detected bound analytes using gold nanoparticle conjugates with assay time of ≤10 min. Microarray images were captured by a consumer-grade flatbed scanner. RESULTS A sensitivity of 1 ng/mL was demonstrated with the VFM assay with colorimetric readout. The reproducibility (CV) of the system was <14%. The observed concordance with a clinical assay, ImmunoCAP, was R2 = 0.89 (n = 31). CONCLUSIONS In this proof-of-concept study, we demonstrated that the VFM assay, which combines features from protein microarrays and paper-based colorimetric systems, could offer an interesting alternative for future highly multiplexed affinity point-of-care testing.
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Cretich, Marina, Gabriele Di Carlo, Cinzia Giudici, Sven Pokoj, Iris Lauer, Stephan Scheurer, and Marcella Chiari. "Detection of allergen specific immunoglobulins by microarrays coupled to microfluidics." PROTEOMICS 9, no. 8 (April 2009): 2098–107. http://dx.doi.org/10.1002/pmic.200800651.

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Дисертації з теми "Allergen microarrays"

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Martinroche, Guillaume. "Quantification et caractérisation des maladies auto-immunes et allergiques à l'aide de méthodes d'apprentissage profond." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0154.

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Les outils d’aide au diagnostic utilisant l’intelligence artificielle (IA) aideront très prochainement les praticiens à proposer une médecine plus personnalisée et de précision pour les patients. Les maladies auto-immunes et allergiques (MAIA) sont le parfait exemple de maladies au diagnostic complexe pouvant bénéficier de ces outils. Les anticorps antinucléaires (ANA) sur les cellules épithéliales humaines (HEp-2) sont la référence pour le dépistage et le diagnostic des maladies auto-immunes (MAI). Pour une harmonisation des pratiques de laboratoires et cliniques, une lecture et une classification automatiques des aspects d’ANA observés sur cellules HEp-2 par immunofluorescence indirecte (IIF) respectant la classification recommandée par l’International Consensus on Antinuclear Antibody Patterns (ICAP) sont des exigences croissantes. A partir d’une collection complète d’images de cellules HEp-2 du CHU de Bordeaux et en utilisant une méthodologie d’apprentissage supervisé, un système de classification automatique des aspects d’IFI pour les images de cellules HEp-2 a été développé à partir des recommandations de l’ICAP et adaptées aux pratiques locales. Il repose sur un classificateur pour les aspects du noyau seulement (16 aspects et jusqu’à 2 aspects par image) et un second classificateur pour les aspects du cytoplasme seulement. Fort de résultats prometteurs, le système proposé devrait contribuer à la reconnaissance automatique des aspects d’ANA permettant des tests quantitatifs réflexes ciblés sur quelques auto-anticorps afin de faciliter in fine un diagnostic efficace et précis des MAI. Les puces à allergènes, permettent de rechercher simultanément jusqu’à 300 IgE spécifiques et s’intègrent dans une démarche diagnostique ascendante des allergies où, à partir d’une analyse la plus large possible, nous cherchons ensuite à déterminer quel(s) allergène(s) est (sont) susceptible(s) d’expliquer les symptômes du patient. Néanmoins, la masse de données produites dépasse la capacité d’analyse de l’utilisateur moyen et le grand nombre de résultats obtenus peut masquer ceux qui sont réellement pertinents cliniquement. Une base de données a été constituée à partir de 4271 résultats de puces (Société Française d’Allergologie), et de vingt-cinq données démographiques et cliniques. Un data challenge international a permis l’obtention de premiers modèles capables de prédire les profils allergiques des patients. Un outil plus complet et adapté à la pratique quotidienne est en cours de développement. L’outil pourra procurer au clinicien une probabilité d’allergie moléculaire par famille de protéines à partir de la puce à allergènes et un nombre très restreint de données cliniques ou démographiques, limitant ainsi les délais diagnostiques et le recours aux tests de provocation orale. Les outils d’aide aux diagnostics utilisant les technologies dites d’IA participent notamment à l’amélioration de l’efficience des techniques actuelles pour libérer du temps vis-à-vis de tâches répétitives et à faible valeur ajoutée. Ils sont généralement mal perçus par les praticiens considérant perdre leur expertise, voire être remplacés par les algorithmes. Particulièrement forte en Biologie Médicale, cette amélioration touche directement à la fonction de Biologiste Médical. Pour tenter de mieux comprendre, nous nous sommes intéressés au lien de confiance, s’il peut en être un, entre le praticien et l’outil d’aide au diagnostic. Les notions de fiabilité et de véracité ont pu être discutées. Une enquête nationale auprès des biologistes médicaux pratiquant l’IFI sur cellules HEp-2 a permis de révéler une réticence avec des raisons liées aux performances et à une méconnaissance des systèmes. Le déploiement et l’adhésion faisant l’unanimité de stratégies similaires dans le domaine de la cytologie une fois les performances constatées, montre un réel intérêt. [...]
Diagnostic tools based on artificial intelligence (AI) and capable of integrating several types of data, will be crucial in the next coming years in helping practitioners provide more personalized, precision medicine for patients. Autoimmune and allergic diseases are perfect examples of complex, multi-parametric diagnostics that could benefit from such tools. Antinuclear antibodies (ANA) on human epithelial cells (HEp-2) are important biomarkers for the screening and diagnosis of autoimmune diseases. For harmonization of biological practices and clinical management, automatic reading and classification of ANA immunofluorescence patterns for HEp-2 images according to the nomenclature recommended by the International Consensus on Antinuclear Antibody Patterns (ICAP) seems to be a growing requirement. In our study, an automatic classification system for Indirect Immunofluorescence (IIF) patterns of HEp-2 cells images was developed using a supervised learning methodology, based on a complete collection of HEp-2 cell images from Bordeaux University Hospital labelled accordingly to ICAP recommendations and local practices. The system consists of a classifier for nucleus patterns only (16 patterns and allowing recognition of up to two aspects per image) and a second classifier for cytoplasm aspects only. With this contribution to the automation of ANA in medical biology laboratories, it will enable reflex quantitative tests targeted on a few autoantibodies, ultimately facilitating efficient and accurate diagnosis of autoimmune diseases. Allergen microarrays, enable the simultaneous detection of up to 300 specific IgE antibodies and are part of a bottom-up diagnostic approach in which, on the basis of the broadest possible analysis, we then seek to determine which allergen(s) is (are) likely to explain the patient's symptoms. However, the mass of data produced by this single analysis is beyond the analytical capacity of the average user and the large number of results obtained simultaneously can mask those that are truly clinically relevant. A database of 4271 patients (Société Française d'Allergologie) was created, including allergen microarrays data and twenty-five demographic and clinical data. This database allowed the development of the first models capable of predicting patients' allergic profiles thanks to an international data challenge. The best F1-scores were around 80%. A more comprehensive tool adapted to daily practice is currently under development. Based essentially on microarrays data and a very few clinical and demographic data, it will be able to provide clinicians with a probability of molecular allergy by protein family, thus limiting diagnostic delays and the need for oral provocation tests. Diagnostic tools using so-called AI technologies are helping to improve the efficiency of current techniques, leveraging locks for repetitive, low-value-added tasks. These tools are generally poorly perceived by practitioners, who feel that they are losing their expertise, and even that they are being replaced by algorithms. This impression is particularly strong in Medical Biology, where this improvement directly affects the function of the Medical Biologist. In an attempt to better understand this, we took a closer look at the relationship of trust, if there can be one, between the practitioner and the diagnostic tool. The concepts of reliability and veracity were discussed. Thanks to a survey of medical biologists working on the analysis of aspects of HEp-2 cells, a certain reticence can be highlighted, with reasons linked to performance scores and unfamiliarity with the systems. The deployment and commitment to similar strategies in the field of biological hematology shows real interest once performance has been established. The development of two diagnostic tools for autoimmune and allergic diseases is laying the foundations for improved results and lasting integration into a more personalized, precision medicine
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Ardizzoni, Andrea. "Allergome microarray for the detection of total repertoire of allergen-specific IgE human serum." Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427750.

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Hamed, Aljali. "Development of IgE microarray assays for classification of allergic individuals." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/37431/.

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Allergic reactions are pathological immune reactions against common, harmless environmental proteins, termed “allergens”. Type I hypersensitivity reactions are mediated by IgE antibodies; these reactions are the most prevalent, affecting all ages and both genders to almost the same extent. This form of allergic reaction is distributed widely affecting more than 25% of the population in the industrial world. The increased incidence of IgE-mediated allergy is thought to be a combination of environmental and genetic factors, each account for about 50%. The effects associated with this disease may reduce quality of life, daily activities, and in some cases threaten life, hence affecting work and leisure time, increasing healthcare and medication costs. IgE-mediated allergy is defined a complex innate and adoptive immune response to natural harmless environmental allergens in which allergen- specific IgE antibodies are predominantly produced. In addition, it is believed that other immunoglobulin isotypes might be involved in atopic diseases (mainly IgG4), although the roles of these antibody isotype are still debatable whether they are pathogenic or protective antibodies. Generally, diagnostic procedures for IgE-mediated allergy begin with the patient’s history, clinical symptoms, physical examination, in vivo provocation tests, and are eventually confirmed with laboratory investigations. In this thesis we develop a microarray technology for use in-house for comprehensive investigations of immunoglobulin reactivity profiles against numerous allergens in atopic disease. Several printing and blocking buffers were developed in-house to preserve functionality of the arrayed proteins, minimise background noise, and increase signal intensity. The new diagnostic platform was validated by set of quality controls, then applied on large-scale applications (allergic patients, general populations, suspected asthmatics and healthy control individuals) to measure total and specific IgE antibodies. Application of the developed antibody microarray platform identified the difficulty of setting cutoffs using a “healthy control group”. We tested both the 75th and the 95th percentiles of the healthy control group as a cut-off point for total IgE levels that resulted in 39.3ng/ml and 70.68ng/ml respectively. When the 75th percentile was selected, the number of participants in the allergy patients classed as positive above the cutoff points was 92 out of 105 (87.6%). However, if the 95th percentile was selected, the number of positive patients was 63 out of 105 (60%) in the same group. On the other hand, the developed allergen microarray platform was used to immunoprofile allergen specific immunoglobulin subtypes in the four different cohorts against 70 SPT allergens. MeV software was used to present the reactivity profiles of the immunoglobulin subtypes semi-quantitatively that resulted in the hierarchical clustering according to allergen species. The reactivity profiles of allergen specific IgE in the allergic group recognized multiple allergens while specific IgE in the healthy control group was negative except for one serum sample. Specific IgE in the random population was lower than in the suspected asthmatics although it recognized allergens from different species (ingested, inhaled, venom). Similarly, this multi-allergen microarray platform was adapted to investigate the roles of other antibody isotypes (IgG1, IgG2, IgG3, IgG4, IgA1, IgA2) in IgE- mediated allergy. The study revealed no roles for these isotype except IgG4 that showed multiple recognition patterns in serum samples of healthy individuals and allergic patients. A comparison between microarray results and provocation testing (SPT) was performed for the samples from suspected asthmatics. To enable direct comparison, IgE:IgG4 ratio was utilized as IgE levels alone would not be expected to correlate with wheal and flare reaction. The IgE:IgG4 ratio showed good correlation with the six allergens tested by SPT (r=0.9299, p<0.0001). In addition, the multi-allergen chip can detect additional responses outside the standard six SPT- allergens performed routinely, and moreover reports on IgG4 responses that are never assessed by SPT, but are potentially important to the likelihood of asthma and allergy. Overall, the results indicated that the new developed microarray platform is highly specific, sensitive and reproducible. Subsequently, this high-throughput microarray platform can work as a diagnostic tool for monitoring the development of allergic diseases, predicting allergic reactions particularly for polysensitised patients, evaluating patient response to treatments, and eventually allowing the classification of allergic individuals. In conclusion, a new high-throughput multi-allergen platform has been developed that will certainly improve the future of allergy diagnosis.
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Erkers, Julia. "Towards automatic smartphone analysis for point-of-care microarray assays." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280663.

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Poverty and long distances are two reasons why some people in the third world countries hasdifficulties seeking medical help. A solution to the long distances could be if the medical carewas more mobile and diagnostically tests could be performed on site in villages. A new pointof-care test based on a small blood shows promising results both in run time and mobility.However, the method still needs more advanced equipment for analysis of the resultingmicroarray. This study has investigated the potential to perform the analysis within asmartphone application, performing all steps from image capturing to a diagnostic result. Theproject was approach in two steps, starting with implementation and selection of imageanalysis methods and finishing with implementing those results into an Android application.A final application was not developed, but the results gained from this project indicates that asmartphone processing power is enough to perform heavy image analysis within a sufficientamount of time. It also imply that the resolution in the evaluated images taken with a Nexus 6together with an external macro lens most likely is enough for the whole analysis, but furtherwork must be done to ensure it.
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Bosco, Anthony. "Identification of novel genes associated with allergen-driven T cell activation in human atopics." University of Western Australia. School of Paediatrics and Child Health, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0023.

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[ Truncated abstract ] Atopic diseases such as asthma are thought to be driven to a significant extent by T helper memory cells which are programmed to respond in a harmful way to environmental allergens (e.g. house dust mite). Previous studies in humans and in animal models have established that activation of TH2 cytokine genes in T memory responses to allergens is central to the disease process. However, only a subset of atopics harbouring a TH2-memory response phenotype manifests clinical symptoms of disease. Moreover, clinical trials with TH2 antagonists in atopic patients have proven disappointing, suggesting underlying complexities in disease pathogenesis which escape regulation via these approaches. It was thus hypothesised that additional genes involved in the activation program of allergen-specific T memory cells which are central to disease pathogenesis remain unidentified. The aim of the current study was to identify such novel genes by applying microarray technology to survey genome-wide expression patterns in an in vitro model of allergen-driven human T cell activation. In contrast to previous human microarray studies in this area focusing on mitogen activated T cell lines and clones, the current study avoided the use of strong activation stimuli which have the potential to distort patterns of gene expression, and reports for the first time the findings of microarray analysis of house dust mite allergen-driven acute gene activation in recirculating T memory cells harvested from the peripheral blood of human atopics. ... Finally, methodology was established to investigate the function of the novel atopy-associated genes. In loss-of-function experiments, expression of DACT1 and CAMK2D was silenced in primary T cell responses driven by bacterial superantigens, a model system for studying T cell responses under conditions which mimic antigen-specific activation. Whilst silencing DACT1 and CAMK2D expression did not influence classical readouts of T cell function including proliferation and cytokine production, microarray profiling was employed to identify putative downstream transcriptional targets of each gene. The experimental strategy and optimised methodology presented herein can now be employed to investigate the molecular circuitry linking the novel atopy-associated genes to the T cell activation process. In conclusion, several novel genes associated with allergen-driven T memory responses in atopics have been first described in this thesis and represent logical candidates for more detailed immunological and genetic studies related to the pathogenesis of atopic diseases.
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Wang, Xiaowei. "Development of a detection system towards a basophil-microarray for the diagnosis of allergies." Thesis, University of Nottingham, 2014. http://eprints.nottingham.ac.uk/14187/.

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Allergic responses are mainly mediated by immunoglobulin E (IgE) and mast cells or basophils expressing the high-affinity IgE receptor FcεRI. Cross-linking of FcεRI and IgE complexes with allergen induces basophil degranulation and release of inflammatory chemical mediators, leading to clinical symptoms. Common allergy diagnostic tests such as ImmunoCAP, focused on the measurement of specific IgE in patients, commonly lead to misdiagnosis. The allergen-specific IgE in patients’ sera might not always lead to FcεRI cross-linking on mast cells or basophils, resulting in no related clinical symptoms, as observed in some food allergies. In order to mimic the allergic response and generate an in vitro diagnostic device to address these issues, a basophil-microarray platform that couples the diversity of a protein array with the biological output of basophilic cells is being developed. This platform allows testing of up to five thousand allergens using a drop of patient’s blood. In this study, the optimisation steps and preliminary results are presented. The platform in development relies upon the use of a humanised rat basophilic leukaemia (RBL) cell line RBL-703/21 and different methods to measure the levels of basophil activation. ß-hexosaminidase assay showed that the human FcεRI expressing RBL-703/21 cell line was able to bind human IgE in the presence of anti-IgE/allergens and led to degranulation. Fibronectin has shown to greatly avoid cell losses during experiments, calcium ionophore A23187 is an unsuitable positive control due to a fast down regulation of VLA-4 and subsequent detachment of cells. The commercial Ca2+ probe (fluo-4, AM) was shown to efficiently measure the intracellular calcium flux upon activation in the micro-well plate, but due to the lack of a detection system, it can not to be used in the microarray. Two reporter plasmids encoding GFP or DsRed with an NFAT promoter region were transfected into RBL-703/21s and optimised. Both reporter systems were able to detect the presence of functional allergen-specific IgE in the sera of patients, and showed the expected bell–shaped dose response curves. Results correlated with those measured by clinical diagnostic methods. The fluorescence system developed using reporter genes does not need further processing, making it an ideal system for the future development of basophil microarray platforms.
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Mallmann, Stefanie [Verfasser], and Ralf S. [Akademischer Betreuer] Müller. "Untersuchung der Testreaktionen in Allergen-Microarray und Intradermaltest von Hunden mit atopischer Dermatitis unter Berücksichtigung der allergisch bedingten Juckreizsymptomatik / Stefanie Mallmann ; Betreuer: Ralf S. Müller." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://d-nb.info/1216827230/34.

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Pascal, i. Capdevila Mariona. "Allergenic protein and epitope recognition in food allergy: a new perspective for the molecular and clinical characterization of shellfish and lipid transfer protein allergy / Reconeixement de proteïnes i epítops al•lergènics en al•lèrgia alimentaria: una nova perspectiva per a la caracterització clínica i molecular de l’al•lèrgia al marisc i a les proteïnes de transferència de lípids." Doctoral thesis, Universitat de Barcelona, 2012. http://hdl.handle.net/10803/84070.

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Currently food allergy diagnostic tests are not able to predict clinical reactivity in sensitized patients (those with specific IgE against a particular allergen). Traditionally, allergy diagnostic tests used complete extracts of allergenic sources containing multiple molecules, some allergic and others not. This greatly limits the accuracy in the diagnosis and identification of possible allergic reactions to different foods by the existence of cross reactivity. Through the last decades, thanks to advances in the characterization of allergens at molecular level, the concept of Component-Based Diagnosis has been developed. This is based on the reasoning that the presence of specific IgE for the protein actually responsible for the allergic response should be detected and not the one against a mixture of molecules. Furthermore, the study of IgE and IgG4 recognition at epitope level using microarrays of synthetic peptides has been described as a useful tool for diagnosis, prognosis and development of a therapy for food allergy. The hypothesis of this thesis is that these new methodologies can improve the diagnosis of shellfish and lipid transfer protein (LTP) allergy. The aim of this thesis is to characterize clinically and at a molecular level these two types of food allergies, using these new methodologies. Regarding shellfish allergy, we found that tropomyosin, sarcoplasmic protein binding of calcium and myosin light chain are the allergens associated with clinical reactivity, i.e, are more common in shrimp allergic patients than in tolerant individuals sensitized shrimp. On the other hand, arginine kinase and hemocyanin allergens would be more involved in the phenomena of cross-reactivity with other arthropods (mites and/or cockroach). Additionally the synthetic peptide microarray has identified differential recognition of IgE and IgG4 epitopes among allergic and tolerant individuals. Regarding allergy to LTP, allergenic proteins ubiquitously distributed in the plant kingdom, we observed that patients suffer from reactions with a wide range of plant foods to which are sensitized, being peach the most common one. Furthermore, these patients have a variety of clinical symptoms from very mild to very severe and life-threatening as in the case of anaphylaxis, which can be attributed to allergens from different families. The component-based diagnosis in a microarray format that includes a diverse panel of allergenic proteins from different families is useful for diagnosing these patients, since the only proteins identified as responsible for the clinical symptoms are the LTPs, although the symptoms are diverse and sometimes more closely resemble to those caused by other allergens such as profilins or homologues of Bet v 1. Moreover, it offers an overview of positive and negative sensitivities in these patients in a single trial, with its multiplex properties. Cases of anaphylaxis with a cofactor involvement, such as NSAIDs, were frequently observed in these patients. The simultaneous presence of these drugs with the food allergen triggers allergic reactions in the individual that would not occur without the presence of the drug or would have been of less severity. We have developed a preliminary in vitro model based on the basophil activation test that allowed us to observe the in vitro effect observed in vivo. We observed an increase of degranulation/activation of basophils when stimulation is done with food in the presence the drug, compared to when stimulated only with food. In this thesis we can conclude that both the component-based diagnosis and epitope mapping are useful tools for the characterization of food allergy to shellfish proteins and LTP, and that they should be considered to improve the efficiency of diagnosis of these two types of food allergies.
Actualment els mètodes diagnòstics de l'al•lèrgia alimentària no són capaços de predir la reactivitat clínica dels pacients sensibilitzats (els que tenen IgE específica davant un determinat al•lergen). Tradicionalment les proves diagnòstiques de l'al•lèrgia han utilitzat extractes complets de fonts al•lergèniques que contenen múltiples molècules, algunes al•lergèniques i altres no. Això limita enormement la precisió en el diagnòstic i la possibilitat d'identificar reaccions al•lèrgiques a diferents aliments per l'existència de reactivitats creuades. Gràcies a la caracterització dels al•lèrgens a nivell molecular, s'ha desenvolupat el concepte del Diagnòstic Basat en Components que es basa en el raonament de detectar la presència d'IgE específica per a la proteïna realment responsable de la resposta al•lèrgica i no per una mescla de molècules. Addicionalment, l'estudi del reconeixement IgE i IgG4 a nivell d'epítops amb microarrays de pèptids sintètics pot ser una eina útil per al diagnòstic, pronòstic i desenvolupament d'una teràpia per l'al•lèrgia alimentària. La hipòtesi d'aquesta tesi és que aquestes noves metodologies poden millorar el diagnòstic de l'al•lèrgia al marisc i a les proteïnes de transferència de lípids (LTP), presents en múltiples aliments vegetals. L'objectiu és doncs caracteritzar clínicament i a nivell molecular aquests dos tipus d'al lèrgies alimentàries, utilitzant aquestes noves metodologies. Respecte a l'al•lèrgia al marisc, els al lèrgens tropomiosina, proteïna sarcoplàsmica d'unió de calci i la cadena lleugera de miosina s'associen amb la reactivitat clínica a la gamba. D'altra banda, els al•lèrgens arginina quinasa i hemocianina estarien més implicats en fenòmens de reactivitat creuada amb altres artròpodes. Addicionalment, amb el microarray de pèptids sintètics s'ha pogut identificar un reconeixement diferencial d'epítops IgE i IgG4 entre pacients al•lèrgics i tolerants. Respecte a l'al•lèrgia a les LTP, els pacients pateixen reaccions amb un ampli ventall d'aliments vegetals, sent el préssec el més freqüent, amb una gran diversitat de símptomes clínics, que poden atribuir-se a al•lèrgens de diferents famílies. El diagnòstic basat en components en el format d'un microarray que inclou proteïnes al•lergèniques de diferents famílies és útil per al diagnòstic d'aquests pacients, ja que permet identificar que les úniques proteïnes responsables els símptomes clínics són les LTP, encara que els símptomes siguin molt variats i en algunes ocasions s'assemblin més als provocats per altres al•lèrgens com les profilines o els homòlegs de Bet v 1. En aquests pacients són freqüents els casos d'anafilàxia en què està involucrat un cofactor, com els antiinflamatoris no esteroïdals. La presència del fàrmac amb l'al•lergen alimentari desencadena reaccions al•lèrgiques que sense el fàrmac no es donarien o serien de menor severitat. Hem desenvolupat un model preliminar in vitro basat en el test d'activació de basòfils que ens ha permès observar in vitro l'efecte observat in vivo. En conclusió, el diagnòstic basat en components i el mapatge d'epítops són eines útils per a la caracterització de l'al•lèrgia alimentària al marisc i a les proteïnes LTP, i s'han de considerar per millorar l'eficiència del diagnòstic d'aquests dos tipus d'al•lèrgies alimentàries.
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ARASI, STEFANIA. "Reliable mite-specific microarray for testing IgE antibodies in nasal secretions." Doctoral thesis, 2017. http://hdl.handle.net/11570/3121575.

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Methods to measure allergen-specific immunoglobulin E (sIgE) at nasal level in patients with allergic rhinitis are currently of great interest for many reasons, such as the evidence for local production of IgE in the nasal mucosa. Nasal secretions are easily collected with various non-invasive procedures and suitable for IgE measurements. Nevertheless, IgE “classic” assays, based on immunoenzymatic methods and allergen extracts, require large volumes and are inefficient in detecting the low amounts of IgE in NasSec. In this study, IgE antibodies to 15 allergen molecules of Dermatophagoides pteronyssinus and Dermatophagoides farinae were tested with an allergen microarray in nasal secretions of 30 mite sensitized, allergic rhinitis patients and 29 healthy, not-sensitized controls. Nasal IgE to major allergen molecules (nDer p 1, nDer f 1, rDer p 2, rDer f 2, rDer p 23) identified the mite-allergic patients with 90% sensitivity and 100% specificity. Therefore, testing nasal IgE to allergen molecules by a microarray approach may play a role in the diagnostic work-up of patients with allergic rhinitis.
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Pereira, Cátia Liliana Morais. "Characterization of allergens from several tree nuts and their role in plant food allergy." Master's thesis, 2013. http://hdl.handle.net/10451/11516.

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Tese de mestrado, Controlo da Qualidade e Toxicologia dos Alimentos, Universidade de Lisboa, Faculdade de Farmácia, 2014
Food allergies are a common issue in western countries. In the last decade, these diseases has increased significantly, and nowadays it is estimated that affects 2-8% of the population. Within the food allergies, plant food is the most frequent in adult population and the most part of the plant food allergens belong to protein families with defense or storage functions. Among plant food allergies there is a special interest in tree nut allergy. In the course of history, nuts have been part of the diet around the world. Tree nuts have a high nutritional value and they are very important in the human diet. However, in the developed world, the allergic reactions caused by tree nuts represent one of the first causes of food allergies in children and the first in adults. Understanding the mechanism by which a harmless protein to the organism is capable of inducing an allergic response is the basis to prevent and treat this type of disease. Until now, in food allergy, the only possible treatment is avoiding the consumption of the culprit food. Although, the existence of cross-reactivity between allergens and the specific sensitization profiles of each patient, makes it difficult to know which foods are related and which ones the patient should avoid. In order to develop safe and effective immunotherapy, it is necessary to characterize the allergens involved both at molecular and immunological level. The major allergens described in tree nuts are 7S vicilins, 11S legumins, 2S albumins, lipid transfer proteins (LTPs) and thaumatin-like proteins (TLPs). In this thesis, the allergenic molecular basis of these proteins was studied in order to try to understand the possible mechanisms that are mediating sensitization and cross-reactivity and the prevalence of these proteins in a Spanish population, with the use of protein microarrays.
As alergias alimentares são um problema comum nos países ocidentais. Na última década, estas doenças têm aumentado significativamente e actualmente é estimado que afectem 2-8% da população. Nas alergias alimentares, a alergia a alimentos vegetais é a mais frequente na população adulta e a maioria dos alergenos de alimentos vegetais pertencem a famílias de proteínas com funções de defesa e armazenamento. Entre as alergias a alimentos vegetais, há um interesse especial na alergia a frutos secos. No decurso da história, os frutos secos têm feito parte da dieta em todo o mundo. Os frutos secos têm um elevado valor nutricional e são muito importantes na dieta humana. Contudo, no mundo desenvolvido, as reacções alérgicas causadas pelos frutos secos, representam uma das primeiras causas de alergia alimentar em crianças e a primeira em adultos. Conhecer o mecanismo pelo qual uma proteína inofensiva ao organismo é capaz de induzir uma resposta alérgica, é a base para prevenir e tratar este tipo de doença. Até agora, na alergia alimentar, o único tratamento possível é evitar o consumo do alimento culpado pela alergia. Todavia, a existência de reactividade-cruzada entre alergenos e os perfis especifícos de sensibilização dos patientes, torna difícil saber que alimentos estão relacionados e quais os alimentos que o paciente deve evitar. De modo a desenvolver imunoterapia segura e eficaz é necessário caracterizar os alergenos envolvidos, tanto a nível molecular como a nível imunológico. Os alergenos maioritários descritos nos frutos secos são vicilinas 7S, leguminas 11S, albuminas 2S, proteínas de transferência de lípidos (LTPs) e proteínas similares a taumatinas (TLPs). Nesta tese, a base molecular alergénica destas proteínas foi estudada de modo a perceber os possíveis mecanismos que medeiam a sensibilização e a reactividade-cruzada e a prevalência destas proteínas numa população Espanhola, com a utilização de microarrays de proteínas
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Книги з теми "Allergen microarrays"

1

DNA microarrays for biomedical research: Methods and protocols. New York: Humana Press, 2009.

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2

Jin, Saihong. Specific IgE profiling of 52 allergens in sensitized individuals using a new protein microarray technology. 2005.

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Частини книг з теми "Allergen microarrays"

1

Bacarese-Hamilton, Tito, Julian Gray, Andrea Ardizzoni, and Andrea Crisanti. "Allergen Microarrays." In Microarrays in Clinical Diagnostics, 195–207. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-923-0:195.

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2

Kalli, Marina, Marcos J. C. Alcocer, Andrew J. Blok, and Franco H. Falcone. "Use of Humanized Fluorescent Reporter Cell Line RBL NFAT-DsRed for the Detection of Allergen-Specific IgE in Patient Sera Using Allergen Microarrays." In Basophils and Mast Cells, 155–62. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0696-4_12.

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3

Lin, Jing, Ludmilla Bardina, and Wayne G. Shreffler. "Microarrayed Allergen Molecules for Diagnostics of Allergy." In Epitope Mapping Protocols, 259–72. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-450-6_19.

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4

Harwanegg, Christian, Sabine Hutter, and Reinhard Hiller. "Allergen Microarrays for the Diagnosis of Specific IgE Against Components of Cow Milk and Hen Egg in a Multiplex Biochip-Based Immunoassay." In Methods in Molecular Biology, 145–57. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-426-1_11.

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De Chan, Xin, and Chuping Mu. "Sensitisation Profiles of House Dust Mite-Allergic Subjects Using an Allergen Microarray Platform." In Proceedings of the 9th IRC Conference on Science, Engineering, and Technology, 292–302. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8369-8_29.

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6

Jambari, Nuzul N., XiaoWei Wang, and Marcos Alcocer. "Protein Microarray-Based IgE Immunoassay for Allergy Diagnosis." In Methods in Molecular Biology, 129–37. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6925-8_10.

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Osin, Nikolay S., and Vera G. Pomelova. "Microarray Immunophosphorescence Technology for the Detection of Infectious Pathogens." In National Institute of Allergy and Infectious Diseases, NIH, 233–40. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-569-5_25.

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Martínez-Botas, Javier, and Belén de la Hoz. "IgE and IgG4 Epitope Mapping of Food Allergens with a Peptide Microarray Immunoassay." In Methods in Molecular Biology, 235–49. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3037-1_18.

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Martínez-Botas, Javier, Carlos Fernández-Lozano, Aida Vaquero-Rey, and Belén de la Hoz. "IgE and IgG4 Epitope Mapping of Food Allergens with a Peptide Microarray Immunoassay." In Methods in Molecular Biology, 219–36. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2732-7_16.

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De Knop, K. J., C. H. Bridts, M. M. Verweij, M. M. Hagendorens, L. S. De Clerck, W. J. Stevens, and D. G. Ebo. "Component-Resolved Allergy Diagnosis by Microarray." In Advances in Clinical Chemistry, 87–101. Elsevier, 2010. http://dx.doi.org/10.1016/s0065-2423(10)50005-2.

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Тези доповідей конференцій з теми "Allergen microarrays"

1

Vikalo, Haris, and Babak Hassibi. "Limits of performance of real-time DNA microarrays." In 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2009. http://dx.doi.org/10.1109/allerton.2009.5394924.

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Chou, Shan-Ying, Jia-Han Wu, Shang-Ta Chou, Chia-Hui Chen, Wen-Yen Huang, Chen-Yu Chen, and Gwo-Bin Lee. "An integrated microfluidic system for automating multiplex allergy microarrays." In 2017 IEEE 12th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS). IEEE, 2017. http://dx.doi.org/10.1109/nems.2017.8017059.

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Ji, Xia, Weizhong Zhang, Shao-dan Jia, Haiyan Wang, Xiao-xia Wang, Jing Li, Zhixiu Xiao, Weiyi Zhang, and Zhenmin Bao. "A Microarray Gene Expression Profile in Peripheral Blood Mononuclear Cells for Allergic Asthma in Chinese." In Biomedical Engineering. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.764-007.

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