Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jan Novak is active.

Publication


Featured researches published by Jan Novak.


Nature Genetics | 2011

Genome-wide association study identifies susceptibility loci for IgA nephropathy

Ali G. Gharavi; Krzysztof Kiryluk; Murim Choi; Yifu Li; Ping Hou; Jingyuan Xie; Simone Sanna-Cherchi; Clara J. Men; Bruce A. Julian; Robert J. Wyatt; Jan Novak; John Cijiang He; Haiyan Wang; Jicheng Lv; Li Zhu; Weiming Wang; Zhaohui Wang; Kasuhito Yasuno; Murat Gunel; Shrikant Mane; Sheila Umlauf; Irina Tikhonova; Isabel Beerman; Silvana Savoldi; Riccardo Magistroni; Gian Marco Ghiggeri; Monica Bodria; Francesca Lugani; Pietro Ravani; Claudio Ponticelli

We carried out a genome-wide association study of IgA nephropathy, a major cause of kidney failure worldwide. We studied 1,194 cases and 902 controls of Chinese Han ancestry, with targeted follow up in Chinese and European cohorts comprising 1,950 cases and 1,920 controls. We identified three independent loci in the major histocompatibility complex, as well as a common deletion of CFHR1 and CFHR3 at chromosome 1q32 and a locus at chromosome 22q12 that each surpassed genome-wide significance (P values for association between 1.59 × 10−26 and 4.84 × 10−9 and minor allele odds ratios of 0.63–0.80). These five loci explain 4–7% of the disease variance and up to a tenfold variation in interindividual risk. Many of the alleles that protect against IgA nephropathy impart increased risk for other autoimmune or infectious diseases, and IgA nephropathy risk allele frequencies closely parallel the variation in disease prevalence among Asian, European and African populations, suggesting complex selective pressures.


Proteomics Clinical Applications | 2007

Clinical proteomics: A need to define the field and to begin to set adequate standards

Harald Mischak; Rolf Apweiler; Rosamonde E. Banks; Mark R. Conaway; Joshua J. Coon; Anna F. Dominiczak; Jochen H. H. Ehrich; Danilo Fliser; Mark A. Girolami; Henning Hermjakob; Denis F. Hochstrasser; Joachim Jankowski; Bruce A. Julian; Walter Kolch; Ziad A. Massy; Christian Neusuess; Jan Novak; Karlheinz Peter; Kasper Rossing; Joost P. Schanstra; O. John Semmes; Dan Theodorescu; Visith Thongboonkerd; Eva M. Weissinger; Jennifer E. Van Eyk; Tadashi Yamamoto

The aim of this manuscript is to initiate a constructive discussion about the definition of clinical proteomics, study requirements, pitfalls and (potential) use. Furthermore, we hope to stimulate proposals for the optimal use of future opportunities and seek unification of the approaches in clinical proteomic studies. We have outlined our collective views about the basic principles that should be considered in clinical proteomic studies, including sample selection, choice of technology and appropriate quality control, and the need for collaborative interdisciplinary efforts involving clinicians and scientists. Furthermore, we propose guidelines for the critical aspects that should be included in published reports. Our hope is that, as a result of stimulating discussion, a consensus will be reached amongst the scientific community leading to guidelines for the studies, similar to those already published for mass spectrometric sequencing data. We contend that clinical proteomics is not just a collection of studies dealing with analysis of clinical samples. Rather, the essence of clinical proteomics should be to address clinically relevant questions and to improve the state‐of‐the‐art, both in diagnosis and in therapy of diseases.


Molecular & Cellular Proteomics | 2010

Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease

David M. Good; Petra Zürbig; Àngel Argilés; Hartwig W. Bauer; Georg Behrens; Joshua J. Coon; Mohammed Dakna; Stéphane Decramer; Christian Delles; Anna F. Dominiczak; Jochen H. H. Ehrich; Frank Eitner; Danilo Fliser; Moritz Frommberger; Arnold Ganser; Mark A. Girolami; Igor Golovko; Wilfried Gwinner; Marion Haubitz; Stefan Herget-Rosenthal; Joachim Jankowski; Holger Jahn; George Jerums; Bruce A. Julian; Markus Kellmann; Volker Kliem; Walter Kolch; Andrzej S. Krolewski; Mario Luppi; Ziad A. Massy

Because of its availability, ease of collection, and correlation with physiology and pathology, urine is an attractive source for clinical proteomics/peptidomics. However, the lack of comparable data sets from large cohorts has greatly hindered the development of clinical proteomics. Here, we report the establishment of a reproducible, high resolution method for peptidome analysis of naturally occurring human urinary peptides and proteins, ranging from 800 to 17,000 Da, using samples from 3,600 individuals analyzed by capillary electrophoresis coupled to MS. All processed data were deposited in an Structured Query Language (SQL) database. This database currently contains 5,010 relevant unique urinary peptides that serve as a pool of potential classifiers for diagnosis and monitoring of various diseases. As an example, by using this source of information, we were able to define urinary peptide biomarkers for chronic kidney diseases, allowing diagnosis of these diseases with high accuracy. Application of the chronic kidney disease-specific biomarker set to an independent test cohort in the subsequent replication phase resulted in 85.5% sensitivity and 100% specificity. These results indicate the potential usefulness of capillary electrophoresis coupled to MS for clinical applications in the analysis of naturally occurring urinary peptides.


Journal of The American Society of Nephrology | 2007

Advances in Urinary Proteome Analysis and Biomarker Discovery

Danilo Fliser; Jan Novak; Visith Thongboonkerd; Àngel Argilés; Vera Jankowski; Mark A. Girolami; Joachim Jankowski; Harald Mischak

Noninvasive diagnosis of kidney diseases and assessment of the prognosis are still challenges in clinical nephrology. Definition of biomarkers on the basis of proteome analysis, especially of the urine, has advanced recently and may provide new tools to solve those challenges. This article highlights the most promising technological approaches toward deciphering the human proteome and applications of the knowledge in clinical nephrology, with emphasis on the urinary proteome. The data in the current literature indicate that although a thorough investigation of the entire urinary proteome is still a distant goal, clinical applications are already available. Progress in the analysis of human proteome in health and disease will depend more on the standardization of data and availability of suitable bioinformatics and software solutions than on new technological advances. It is predicted that proteomics will play an important role in clinical nephrology in the very near future and that this progress will require interactive dialogue and collaboration between clinicians and analytical specialists.


Journal of The American Society of Nephrology | 2008

Urinary Proteomics in Diabetes and CKD

Kasper Rossing; Harald Mischak; Mohammed Dakna; Petra Zürbig; Jan Novak; Bruce A. Julian; David M. Good; Joshua J. Coon; Lise Tarnow; Peter Rossing

Urinary biomarkers for diabetes, diabetic nephropathy, and nondiabetic proteinuric renal diseases were sought. For 305 individuals, biomarkers were defined and validated in blinded data sets using high-resolution capillary electrophoresis coupled with electrospray-ionization mass spectrometry. A panel of 40 biomarkers distinguished patients with diabetes from healthy individuals with 89% sensitivity and 91% specificity. Among patients with diabetes, 102 urinary biomarkers differed significantly between patients with normoalbuminuria and nephropathy, and a model that included 65 of these correctly identified diabetic nephropathy with 97% sensitivity and specificity. Furthermore, this panel of biomarkers identified patients who had microalbuminuria and diabetes and progressed toward overt diabetic nephropathy over 3 yr. Differentiation between diabetic nephropathy and other chronic renal diseases reached 81% sensitivity and 91% specificity. Many of the biomarkers were fragments of collagen type I, and quantities were reduced in patients with diabetes or diabetic nephropathy. In conclusion, this study shows that analysis of the urinary proteome may allow early detection of diabetic nephropathy and may provide prognostic information.


Mass Spectrometry Reviews | 2009

Capillary electrophoresis–mass spectrometry as a powerful tool in biomarker discovery and clinical diagnosis: an update of recent developments

Harald Mischak; Joshua J. Coon; Jan Novak; Eva M. Weissinger; Joost P. Schanstra; Anna F. Dominiczak

Proteome analysis has emerged as a powerful technology to decipher biological processes. One of the main goals is to discover biomarkers for diseases from tissues and body fluids. However, the complexity and wide dynamic range of protein expression present an enormous challenge to separation technologies and mass spectrometry (MS). In this review, we examine the limitations of proteomics, and aim towards the definition of the current key prerequisites. We focus on capillary electrophoresis coupled to mass spectrometry (CE-MS), because this technique continues to show great promise. We discuss CE-MS from an application point of view, and evaluate its merits and vices for biomarker discovery and clinical applications. Finally, we present several examples on the use of CE-MS to determine urinary biomarkers and implications for disease diagnosis, prognosis, and therapy evaluation.


Seminars in Nephrology | 2008

IgA Glycosylation and IgA Immune Complexes in the Pathogenesis of IgA Nephropathy

Jan Novak; Bruce A. Julian; Milan Tomana; Jiri Mestecky

Circulating immune complexes containing aberrantly glycosylated IgA1 play a pivotal role in the pathogenesis of IgA nephropathy (IgAN). A portion of IgA1 secreted by IgA1-producing cells in patients with IgAN is galactose-deficient and consequently recognized by anti-glycan IgG or IgA1 antibodies. Some of the resultant immune complexes in the circulation escape normal clearance mechanisms, deposit in the renal mesangium, and induce glomerular injury. Recent studies of the origin of these aberrant molecules, their glycosylation profiles, and mechanisms of biosynthesis have provided new insight into the autoimmune nature of the pathogenesis of this common renal disease. An imbalance in the activities of the pertinent glycosyltransferases in the IgA1-producing cells favors production of molecules with galactose-deficient O-linked glycans at specific sites in the hinge region of the alpha heavy chains. By using sophisticated analytic methods, it may be possible to define biomarkers for diagnostic purposes and identify new therapeutic targets for a future disease-specific therapy.


Journal of The American Society of Nephrology | 2004

Glycosylation and size of IgA1 are essential for interaction with mesangial transferrin receptor in IgA nephropathy.

Ivan C. Moura; Michelle Arcos-Fajardo; Charlotte Sadaka; Valérie Leroy; Marc Benhamou; Jan Novak; François Vrtovsnik; Elie Haddad; Koteswara R. Chintalacharuvu; Renato C. Monteiro

Transferrin receptor (TfR) has been identified as a candidate IgA1 receptor expressed on human mesangial cells (HMC). TfR binds IgA1 but not IgA2, co-localizes with mesangial IgA1 deposits, and is overexpressed in patients with IgA nephropathy (IgAN). Here, structural requirements of IgA1 for its interaction with mesangial TfR were analyzed. Polymeric but not monomeric IgA1 interacted with TfR on cultured HMC and mediates internalization. IgA1 binding was significantly inhibited (>50%) by soluble forms of both TfR1 and TfR2, confirming that TfR serves as mesangial IgA1 receptor. Hypogalactosylated serum IgA1 from patients with IgAN bound TfR more efficiently than IgA1 from healthy individuals. Serum IgA immune complexes from patients with IgAN containing aberrantly glycosylated IgA1 bound more avidly to TfR than those from normal individuals. This binding was significantly inhibited by soluble TfR, highlighting the role of TfR in mesangial IgA1 deposition. For addressing the potential role of glycosylation sites in IgA1-TfR interaction, a variety of recombinant dimeric IgA1 molecules were used in binding studies on TfR with Daudi cells that express only TfR as IgA receptor. Deletion of either N- or O-linked glycosylation sites abrogated IgA1 binding to TfR, suggesting that sugars are essential for IgA1 binding. However, sialidase and beta-galactosidase treatment of IgA1 significantly enhanced IgA1/TfR interaction. These results indicate that aberrant glycosylation of IgA1 as well as immune complex formation constitute essential factors favoring mesangial TfR-IgA1 interaction as initial steps in IgAN pathogenesis.


Journal of Biological Chemistry | 2005

Determination of Aberrant O-Glycosylation in the IgA1 Hinge Region by Electron Capture Dissociation Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry

Matthew B. Renfrow; Helen J. Cooper; Milan Tomana; Rose Kulhavy; Yoshiyuki Hiki; Kazunori Toma; Mark R. Emmett; Jiri Mestecky; Alan G. Marshall; Jan Novak

In a number of human diseases of chronic inflammatory or autoimmune character, immunoglobulin molecules display aberrant glycosylation patterns of N- or O-linked glycans. In IgA nephropathy, IgA1 molecules with incompletely galactosylated O-linked glycans in the hinge region (HR) are present in mesangial immunodeposits and in circulating immune complexes. It is not known whether the Gal deficiency in IgA1 proteins occurs randomly or preferentially at specific sites. To develop experimental approaches to address this question, the synthetic IgA1 hinge region and hinge region from a naturally Gal-deficient IgA1 myeloma protein have been analyzed by 9.4 tesla Fourier transform-ion cyclotron resonance mass spectrometry. Fourier transform-ion cyclotron resonance mass spectrometry offers two complementary fragmentation techniques for analysis of protein glycosylation by tandem mass spectrometry. Infrared multiphoton dissociation of isolated myeloma IgA1 hinge region peptides confirms the amino acid sequence of the de-glycosylated peptide and positively identifies a series of fragments differing in O-glycosylation. To localize sites of O-glycan attachment, synthetic IgA1 HR glycopeptides and HR from a naturally Gal-deficient polymeric IgA1 myeloma protein were analyzed by electron capture dissociation and activated ion-electron capture dissociation. Multiple sites of O-glycan attachment (including sites of Gal deficiency) in myeloma IgA1 HR glycoforms were identified (in all but one case uniquely). These results represent the first direct identification of multiple sites of O-glycan attachment in IgA1 hinge region by mass spectrometry, thereby enabling future characterization at the molecular level of aberrant glycosylation of IgA1 in diseases such as IgA nephropathy.


Molecular & Cellular Proteomics | 2010

Comparison of Methods for Profiling O-Glycosylation HUMAN PROTEOME ORGANISATION HUMAN DISEASE GLYCOMICS/PROTEOME INITIATIVE MULTI-INSTITUTIONAL STUDY OF IgA1

Yoshinao Wada; Anne Dell; Stuart M. Haslam; Bérangère Tissot; Kevin Canis; Parastoo Azadi; Malin Bäckström; Catherine E. Costello; Gunnar C. Hansson; Yoshiyuki Hiki; Mayumi Ishihara; Hiromi Ito; Kazuaki Kakehi; Niclas G. Karlsson; Catherine E. Hayes; Koichi Kato; Nana Kawasaki; Kay Hooi Khoo; Kunihiko Kobayashi; Daniel Kolarich; Akihiro Kondo; Carlito B. Lebrilla; Miyako Nakano; Hisashi Narimatsu; Jan Novak; Milos V. Novotny; Erina Ohno; Nicolle H. Packer; Elizabeth Palaima; Matthew B. Renfrow

The Human Proteome Organisation Human Disease Glycomics/Proteome Initiative recently coordinated a multi-institutional study that evaluated methodologies that are widely used for defining the N-glycan content in glycoproteins. The study convincingly endorsed mass spectrometry as the technique of choice for glycomic profiling in the discovery phase of diagnostic research. The present study reports the extension of the Human Disease Glycomics/Proteome Initiatives activities to an assessment of the methodologies currently used for O-glycan analysis. Three samples of IgA1 isolated from the serum of patients with multiple myeloma were distributed to 15 laboratories worldwide for O-glycomics analysis. A variety of mass spectrometric and chromatographic procedures representative of current methodologies were used. Similar to the previous N-glycan study, the results convincingly confirmed the pre-eminent performance of MS for O-glycan profiling. Two general strategies were found to give the most reliable data, namely direct MS analysis of mixtures of permethylated reduced glycans in the positive ion mode and analysis of native reduced glycans in the negative ion mode using LC-MS approaches. In addition, mass spectrometric methodologies to analyze O-glycopeptides were also successful.

Collaboration


Dive into the Jan Novak's collaboration.

Top Co-Authors

Avatar

Bruce A. Julian

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Hitoshi Suzuki

Fukushima Medical University

View shared research outputs
Top Co-Authors

Avatar

Zina Moldoveanu

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Jiri Mestecky

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Robert J. Wyatt

University of Tennessee Health Science Center

View shared research outputs
Top Co-Authors

Avatar

Milan Tomana

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Stacy Hall

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge