Proteopath GbR

Trier, Germany

Proteopath GbR

Trier, Germany
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Casadonte R.,Proteopath GmbH | Kriegsmann M.,University of Heidelberg | Amann K.,Friedrich - Alexander - University, Erlangen - Nuremberg | Suckau D.,Bruker | Kriegsmann J.,Proteopath GmbH
Nephrologe | Year: 2015

Background: Amyloidosis is characterized by extracellular accumulation of misfolded proteins. Aim: The exact subtyping of renal amyloidosis is essential for prognostic stratification, genetic counseling and therapeutic management. Material and methods: Amyloidosis typing may be mainly achieved through two methods: immunohistochemistry and mass spectrometry (MS). Laser microdissection coupled to liquid chromatography/MS represents one possible method that is well established in the routine diagnostics in many laboratories. Additionally, matrix-assisted laser desorption/ionization imaging (MALDI) is available for diagnosis of amyloidosis in formalin-fixed paraffin embedded material. Results: The latter method (MALDI) will be introduced into the clinical practice and is a sensitive and rapid technique not only for subtyping but also for a steric correlation with Congo red stained areas. Discussion: Currently the general application in routine diagnostics is not yet feasible in most areas, as sophisticated technical equipment is needed. Nevertheless, in the future these applications may be the standard for subtyping of amyloidosis. © 2015, Springer-Verlag Berlin Heidelberg.


Casadonte R.,Proteopath GbR | Kriegsmann M.,University of Heidelberg | Zweynert F.,Institute of Molecular Pathology | Friedrich K.,TU Dresden | And 13 more authors.
Proteomics | Year: 2014

Diagnosis of the origin of metastasis is mandatory for adequate therapy. In the past, classification of tumors was based on histology (morphological expression of a complex protein pattern), while supportive immunohistochemical investigation relied only on few "tumor specific" proteins. At present, histopathological diagnosis is based on clinical information, morphology, immunohistochemistry, and may include molecular methods. This process is complex, expensive, requires an experienced pathologist and may be time consuming. Currently, proteomic methods have been introduced in various clinical disciplines. MALDI imaging MS combines detection of numerous proteins with morphological features, and seems to be the ideal tool for objective and fast histopathological tumor classification. To study a special tumor type and to identify predictive patterns that could discriminate metastatic breast from pancreatic carcinoma MALDI imaging MS was applied to multitissue paraffin blocks. A statistical classification model was created using a training set of primary carcinoma biopsies. This model was validated on two testing sets of different breast and pancreatic carcinoma specimens. We could discern breast from pancreatic primary tumors with an overall accuracy of 83.38%, a sensitivity of 85.95% and a specificity of 76.96%. Furthermore, breast and pancreatic liver metastases were tested and classified correctly. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Gravius S.,University of Bonn | Randau T.M.,University of Bonn | Casadonte R.,Proteopath GmbH | Kriegsmann M.,University of Heidelberg | And 3 more authors.
International Orthopaedics | Year: 2015

Results: Specific peaks associated with a high amount of neutrophils were detected. Of these m/z peaks, four could be assigned to predictive neutrophil molecules. These peptides include annexin A1, calgizzarin (S100A11), calgranulin C (S100A12) and histone H2A. By MALDI IMS, these peptides could be shown to be co-localised with the infiltration of neutrophils in the immediate vicinity of the periprosthetic interface, whereas more distant areas did not show neutrophil invasion or infection-related peptides.Conclusions: MALDI IMS is a new method allowing identification of neutrophil peptides in periprosthetic tissues and may be a surrogate for counting neutrophils as an objective parameter for PJI.Purpose: The accurate diagnosis of periprosthetic joint infection (PJI) relies on clinical investigation, laboratory parameters, radiological methods, sterile joint aspiration for synovial fluid leucocyte count and microbiological analysis and tissue sampling for histopathology. Due to the limits in specificity and sensitivity of these methods, molecular techniques and new biomarkers were introduced into the diagnostic procedure. Histological examination is related to the amount of neutrophils in the periprosthetic tissue in frozen sections and formalin-fixed paraffin embedded material (FFPE). However, the threshold of neutrophils per defined area of tissue among various studies is very inconsistent.Methods: We have applied matrix-assisted laser desorption ionisation time-of-flight imaging mass spectrometry (MALDI IMS) to a total of 32 periprosthetic tissue samples of patients with PJI to detect peptides associated with areas of neutrophil infiltration. © 2014, SICOT aisbl.


Casadonte R.,Proteopath GmbH | Kriegsmann M.,University of Heidelberg | Deininger S.-O.,Bruker | Amann K.,Friedrich - Alexander - University, Erlangen - Nuremberg | And 7 more authors.
Analytical and Bioanalytical Chemistry | Year: 2015

Amyloidosis is a heterogeneous group of protein misfolding diseases characterized by deposition of amyloid proteins. The kidney is frequently affected, especially by immunoglobulin light chain (AL) and serum amyloid A (SAA) amyloidosis as the most common subgroups. Current diagnosis relies on histopathological examination, Congo red staining, or electron microscopy. Subtyping is done by immunohistochemistry; however, commercially available antibodies lack specificity. The purpose of this study was to identify and map amyloid proteins in formalin-fixed paraffin-embedded tissue sections using matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis in an integrated workflow. Renal amyloidosis and non-amyloidosis biopsies were processed for histological and MS analysis. Mass spectra corresponding to the congophilic areas were directly linked to the histological and MS images for correlation studies. Peptides for SAA and AL were detected by MALDI IMS associated to Congo red-positive areas. Sequence determination of amyloid peptides by LC-MS/MS analysis provided protein distribution and identification. Serum amyloid P component, apolipoprotein E, and vitronectin proteins were identified in both AA and AL amyloidosis, showing a strong correlation with Congo red-positive regions. Our findings highlight the utility of MALDI IMS as a new method to type amyloidosis in histopathological routine material and characterize amyloid-associated proteins that may provide insights into the pathogenetic process of amyloid formation. © 2015 Springer-Verlag.


Kriegsmann J.,MVZ for Histology | Kriegsmann J.,Institute for Molecular Pathology | Kriegsmann J.,Proteopath GmbH | Kriegsmann M.,University of Heidelberg | Casadonte R.,Proteopath GmbH
International Journal of Oncology | Year: 2015

Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) imaging mass spectrometry (IMS) is an evolving technique in cancer diagnostics and combines the advantages of mass spectrometry (proteomics), detection of numerous molecules, and spatial resolution in histological tissue sections and cytological preparations. This method allows the detection of proteins, peptides, lipids, carbohydrates or glycoconjugates and small molecules. Formalin-fixed paraffin-embedded tissue can also be investigated by IMS, thus, this method seems to be an ideal tool for cancer diagnostics and biomarker discovery. It may add information to the identification of tumor margins and tumor heterogeneity. The technique allows tumor typing, especially identification of the tumor of origin in metastatic tissue, as well as grading and may provide prognostic information. IMS is a valuable method for the identification of biomarkers and can complement histology, immunohistology and molecular pathology in various fields of histopathological diagnostics, especially with regard to identification and grading of tumors.


PubMed | Bruker, Proteopath GmbH, Molecular Pathology Trier, University of Heidelberg and University of Liège
Type: | Journal: Molecular and biochemical parasitology | Year: 2016

Cystic echinococcosis (CE) is a pandemic infectious disease caused by the tapeworm Echinococcus granulosus that forms cysts in different organs such as lungs and liver. Imaging examination and serological tests have some drawbacks such as low sensitivity. In this study, we used an up-to-date workflow of laser microdissection-based microproteomics and matrix-assisted laser desorption/ionization time-of-flight imaging mass spectrometry in order to depict the proteomic pattern of CE in the liver. This investigation revealed specific markers of a parasitic cyst in liver. This proteomic pattern could facilitate diagnosis of CE in the future.


PubMed | Carl Gustav Carus Institute, Molecular Pathology Trier, University of Heidelberg, Hospital Aschaffenburg and 3 more.
Type: | Journal: Biochimica et biophysica acta | Year: 2016

In advanced tumor stages, diagnosis is frequently made from metastatic tumor tissue. In some cases, the identification of the tumor of origin may be difficult by histology alone. In this setting, immunohistochemical and molecular biological methods are often required. In a subset of tumors definite diagnosis cannot be achieved. Thus, additional new diagnostic methods are required for precise tumor subtyping. Mass spectrometric methods are of special interest for the discrimination of different tumor types. We investigated whether it is possible to discern adenocarcinomas of colon and lung using high-throughput imaging mass spectrometry on formalin-fixed paraffin-embedded tissue microarrays. 101 primary adenocarcinoma of the colon and 91 primary adenocarcinoma of the lung were used to train a Linear Discriminant Analysis model. Results were validated on an independent set of 116 colonic and 75 lung adenocarcinomas. In the validation cohort 109 of 116 patients with colonic and 67 of 75 patients with lung adenocarcinomas were correctly classified. The ability to define proteomic profiles capable to discern different tumor types promises a valuable tool in cancer diagnostics and might complement current approaches.


PubMed | University of Bremen, Proteopath GmbH, SCiLS GmbH, TU Munich and University of Heidelberg
Type: | Journal: Biochimica et biophysica acta | Year: 2016

Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) shows a high potential for applications in histopathological diagnosis, and in particular for supporting tumor typing and subtyping. The development of such applications requires the extraction of spectral fingerprints that are relevant for the given tissue and the identification of biomarkers associated with these spectral patterns. We propose a novel data analysis method based on the extraction of characteristic spectral patterns (CSPs) that allow automated generation of classification models for spectral data. Formalin-fixed paraffin embedded (FFPE) tissue samples from N=445 patients assembled on 12 tissue microarrays were analyzed. The method was applied to discriminate primary lung and pancreatic cancer, as well as adenocarcinoma and squamous cell carcinoma of the lung. A classification accuracy of 100% and 82.8%, resp., could be achieved on core level, assessed by cross-validation. The method outperformed the more conventional classification method based on the extraction of individual m/z values in the first application, while achieving a comparable accuracy in the second. LC-MS/MS peptide identification demonstrated that the spectral features present in selected CSPs correspond to peptides relevant for the respective classification. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.


PubMed | Imabiotech, Proteopath GmbH, University of Heidelberg and University of Liège
Type: Journal Article | Journal: Proteomics. Clinical applications | Year: 2016

Histopathological diagnoses have been done in the last century based on hematoxylin and eosin staining. These methods were complemented by histochemistry, electron microscopy, immunohistochemistry (IHC), and molecular techniques. Mass spectrometry (MS) methods allow the thorough examination of various biocompounds in extracts and tissue sections. Today, mass spectrometry imaging (MSI), and especially matrix-assisted laser desorption ionization (MALDI) imaging links classical histology and molecular analyses. Direct mapping is a major advantage of the combination of molecular profiling and imaging. MSI can be considered as a cutting edge approach for molecular detection of proteins, peptides, carbohydrates, lipids, and small molecules in tissues. This review covers the detection of various biomolecules in histopathological sections by MSI. Proteomic methods will be introduced into clinical histopathology within the next few years.


PubMed | University of Trier, Proteopath GmbH, University of Heidelberg and University of Liège
Type: | Journal: Methods (San Diego, Calif.) | Year: 2016

Proteomic methods are today widely applied to formalin-fixed paraffin-embedded (FFPE) tissue samples for several applications in research, especially in molecular pathology. To date, there is an unmet need for the analysis of small tissue samples, such as for early cancerous lesions. Indeed, no method has yet been proposed for the reproducible processing of small FFPE tissue samples to allow biomarker discovery. In this work, we tested several procedures to process laser microdissected tissue pieces bearing less than 3000 cells. Combined with appropriate settings for liquid chromatography mass spectrometry-mass spectrometry (LC-MS/MS) analysis, a citric acid antigen retrieval (CAAR)-based procedure was established, allowing to identify more than 1400 proteins from a single microdissected breast cancer tissue biopsy. This work demonstrates important considerations concerning the handling and processing of laser microdissected tissue samples of extremely limited size, in the process opening new perspectives in molecular pathology. A proof of the proposed method for biomarker discovery, with respect to these specific handling considerations, is illustrated using the differential proteomic analysis of invasive breast carcinoma of no special type and invasive lobular triple-negative breast cancer tissues. This work will be of utmost importance for early biomarker discovery or in support of matrix-assisted laser desorption/ionization (MALDI) imaging for microproteomics from small regions of interest.

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