Immunoproteomics: From biomarker discovery to diagnostic applications

Tjalsma, Harold; Schaeps, Renée M. J.; Swinkels, Dorine W.

doi:10.1002/prca.200780012

Cited by 55 publications

(61 citation statements)

References 92 publications

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“…As proteínas bacterianas que intercedem essas interações entre as diferentes espécies de riquétsias são alvos da resposta imune do hospedeiro e têm grande relevância no diagnóstico diferencial entre as espécies de riquétsias (Tjalsma et al 2008).…”

Section: Discussionunclassified

“…A Identificação de proteínas de superfície celular expressas por bactérias do gênero Rickettsia é de grande interesse, pois servem como base para determinar antígenos imunorreativos com potencial para elaboração de vacinas, empregos em diagnósticos sensíveis e específicos, além de possibilitarem novos estudos para terapias mais eficazes (Tjalsma et al 2008). Bactérias do gênero Rickettsia apresentam diferentes proteínas pertencentes a várias categorias funcionais, incluindo a replicação (SSB), transcrição (RPOA e PnP) e tradução (SERS, Gata, GATB, EF-Ts, EF-Tu, HtrA, e Pepa), além de outras diferentes proteínas envolvidas no metabolismo da energia (Renesto et al 2005a).…”

Section: Discussionunclassified

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Detecção de proteínas imunorreativas de Rickettsia sp. cepa Mata Atlântica

et al. 2017

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RESUMO.-A Febre Maculosa Brasileira (FMB) é uma doença infecciosa, transmitida por carrapatos ao homem. Uma nova riquetsiose humana foi descrita como causadora de Febre Maculosa no Estado de São Paulo, sendo denominada de Rickettsia sp. cepa Mata Atlântica. O presente trabalho teve como objetivo detectar e identificar proteínas com potencial de estimular o sistema imune de hospedeiro mamí-fero, desta nova cepa descrita. Para tanto, foi realizado a extração proteica total de Rickettsia sp. cepa Mata Atlântica. As proteínas extraídas foram fracionadas por eletroforese. As bandas proteicas foram transferidas para membranas de nitrocelulose por migração elétrica e submetidas à téc-nica de Western-blot, para detecção proteica. Ao todo sete proteínas imunorreativas foram detectadas. Duas proteínas apresentaram maior abundancia, com peso molecular, de 200 e 130 kDa respectivamente. Através da comparação de mapas proteômicos existentes e pelo peso molecular que estas proteínas apresentaram, sugere-se que as duas proteínas detectadas representem rOmpA (200 kDa) e rOmpB (130 kDa). As demais proteínas detectadas apresentaram menor ocorrência e peso molecular inferior a 78 kDa, podendo representar membros da família de antígenos de superfície celular (Sca -Surface cell antigen). As proteínas detectadas poderão servir como base de estudo na elabo-

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Section: Discussionunclassified

Detecção de proteínas imunorreativas de Rickettsia sp. cepa Mata Atlântica

et al. 2017

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“…During the last decade, diagnostic laboratories in academia and industry have been working on the development of a multitude of different approaches, among them electrochemical analysis methods [2], immunohistochemical staining methods [3], FISH [4], ELISA [5] and the many variants of PCR [6], such as reverse transcription PCR (RT-PCR) [7] and quantitative or real-time PCR (qPCR) [8], as well as quantitative fluorescence detection/image analysis [9].…”

Section: Editorialmentioning

confidence: 99%

Point-of-care routine rapid screening: the future of cancer diagnosis?

Bossmann

Troyer

2013

Expert Review of Molecular Diagnostics

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“…the immunome of a (micro)organism (16)) in one experimental approach (17)(18)(19)(20)(21). This strategy has widely been applied to antibody-reactivity profiling for diagnostic and therapeutic purposes in cancers, autoimmune disorders, allergies, and infectious diseases (including IC (13,15,22,23)) (18, 24 -30).…”

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confidence: 99%

Prediction of the Clinical Outcome in Invasive Candidiasis Patients Based on Molecular Fingerprints of Five Anti-Candida Antibodies in Serum

Pitarch

Nombela

Gil

2011

Molecular & Cellular Proteomics

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Better prognostic predictors for invasive candidiasis (IC) are needed to tailor and individualize therapeutic decisionmaking and minimize its high morbidity and mortality. We investigated whether molecular profiling of IgG-antibody response to the whole soluble Candida proteome could reveal a prognostic signature that may serve to devise a clinical-outcome prediction model for IC and contribute to known IC prognostic factors. By serological proteome analysis and data-mining procedures, serum 31-IgG antibody-reactivity patterns were examined in 45 IC patients randomly split into training and test sets. Within the training cohort, unsupervised two-way hierarchical clustering and principal-component analyses segregated IC patients into two antibody-reactivity subgroups with distinct prognoses that were unbiased by traditional IC prognostic factors and other patients-related variables. Supervised discriminant analysis with leave-one-out cross-validation identified a five-IgG antibody-reactivity signature as the most simplified and accurate IC clinical-outcome predictor, from which an IC prognosis score (ICPS) was derived. Its robustness was confirmed in the test set. Multivariate logistic-regression and receiver-operating-characteristic curve analyses demonstrated that the ICPS was able to accurately discriminate IC patients at high risk for death from those at low risk and outperformed conventional IC prognostic factors. Further validation of the five-IgG antibody-reactivity signature on a multiplexed immunoassay supported the serological proteome analysis results. The five IgG antibodies incorporated in the ICPS made biologic sense and were associated either with good-prognosis and protective patterns (those to Met6p, Hsp90p, and Pgk1p, putative Candida virulence factors and antiapoptotic mediators) or with poor-prognosis and risk patterns (those to Ssb1p and Gap1p/Tdh3p, potential Candida proapoptotic mediators). We conclude that the ICPS, with additional refinement in future larger prospective cohorts, could be applicable to reliably predict patient Despite recent advances in antifungal therapy, invasive candidiasis (IC) 1 remains a leading infectious cause of morbidity and mortality in cancer, postsurgical, and intensive care patients (1-3). Its significant impact on patient clinical outcome, as reflected in its increased attributable mortality (10%-49%), length of hospital stay (3-30 days per patient), and healthcare costs (US $ 6214 -92,266 per episode), could however be ameliorated if early and appropriate antifungal therapeutic strategies were administered (1, 4). This precondition highlights the need to search for prognostic features that may reliably predict the clinical outcome in IC patients at presentation to tailor and individualize therapeutic decision-making accordingly and, as a result, to minimize the burden of the invasive infections caused by Candida spp. (commonly Candida albicans (1)).Several factors have classically been reported to adversely influence the clinical outcome of IC patients (3, ...

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Immunoproteomics: From biomarker discovery to diagnostic applications

Cited by 55 publications

References 92 publications

Detecção de proteínas imunorreativas de Rickettsia sp. cepa Mata Atlântica

Detecção de proteínas imunorreativas de Rickettsia sp. cepa Mata Atlântica

Point-of-care routine rapid screening: the future of cancer diagnosis?

Prediction of the Clinical Outcome in Invasive Candidiasis Patients Based on Molecular Fingerprints of Five Anti-Candida Antibodies in Serum

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