Thomas Flad

Serum protein profiling by SELDI mass spectrometry: detection of multiple variants of serum amyloid alpha in renal cancer patients

The molecular analysis of serum is an important field for the definition of potential diagnostic markers or disease-related protein alterations. Novel proteomic technologies such as the mass spectrometric-based surface-enhanced laser desorption/ionization (SELDI) ProteinChip® technique facilitate a rapid and reproducible analysis of such protein mixtures and affords the researcher a new dimension in the search for biomarkers of disease. Here, we have applied this technology to the study of a cohort of serum samples from well-characterized renal cell carcinoma patients for the identification of such proteins by comparison to healthy controls. We detected and characterized haptoglobin 1 α and serum amyloid α-1 (SAA-1) as disease related, in addition to an as-yet-unidentified marker of 10.84 kDa. Of particular note is the detection of multiple variants of SAA-1 in multiplex that have not been described in the sera of cancer patients. SAA-1 is detected as full-length protein, des-Arginine and des-Arginine/des-Serine variants at the N terminus by SELDI. In addition, we could also detect a low-abundant variant minus the first five N-terminal amino acids. Such variants may impact the function of the protein. We conclude the technique to be a reproducible, fast and simple mode for the discovery and analysis of marker proteins of disease in serum.

Human α-Defensins HNPs-1, -2, and -3 in Renal Cell Carcinoma : Influences on Tumor Cell Proliferation

The α-defensins human neutrophil peptides (HNPs)-1, -2, and -3 have been described as cytotoxic peptides with restricted expression in neutrophils and in some lymphocytes. In this study we report that HNPs-1, -2, and -3 are also expressed in renal cell carcinomas (RCCs). Several RCC lines were found to express mRNA as well as the specific peptides of HNP-1, -2, and -3 demonstrated by reverse transcriptase-polymerase chain reaction, mass spectrometric, and flow cytometric analyses. At physiological concentrations HNPs-1, -2, and -3 stimulated cell proliferation of selected RCC lines in vitro but at high concentrations were cytotoxic for all RCC lines tested. As in RCC lines, α-defensins were also detected in vivo in malignant epithelial cells of 31 RCC tissues in addition to their expected presence in neutrophils. In most RCC cases randomly, patchy immunostaining of α-defensins on epithelial cells surrounding neutrophils was seen, but in six tumors of higher grade malignancy all tumor cells were diffusely stained. Cellular necrosis observed in RCC tissues in association with extensive patches of HNP-1, -2, and -3, seemed to be related to high concentrations of α-defensins. The in vitro and in vivo findings suggest that α-defensins are frequent peptide constituents of malignant epithelial cells in RCC with a possible direct influence on tumor proliferation.

Cathepsin D is present in human eccrine sweat and involved in the postsecretory processing of the antimicrobial peptide DCD-1L

The protein pattern of healthy human eccrine sweat was investigated and 10 major proteins were detected from which apolipoprotein D, lipophilin B, and cathepsin D (CatD) were identified for the first time in human eccrine sweat. We focused our studies on the function of the aspartate protease CatD in sweat. In vitro digestion experiments using a specific fluorescent CatD substrate showed that CatD is enzymatically active in human sweat. To identify potential substrates of CatD in human eccrine sweat LL-37 and DCD-1L, two antimicrobial peptides present in sweat, were digested in vitro with purified CatD. LL-37 was not significantly digested by CatD, whereas DCD-1L was cleaved between Leu44 and Asp45 and between Leu29 and Glu30 almost completely. The DCD-1L-derived peptides generated in vitro by CatD were also found in vivo in human sweat as determined by surface-enhanced laser desorption/ionization (SELDI) mass spectrometry. Furthermore, besides the CatD-processed peptides we identified additionally DCD-1L-derived peptides that are generated upon cleavage with a 1,10-phenanthroline-sensitive carboxypeptidase and an endoprotease. Taken together, proteolytic processing generates 12 DCD-1L-derived peptides. To elucidate the functional significance of postsecretory processing the antimicrobial activity of three CatD-processed DCD-1L peptides was tested. Whereas two of these peptides showed no activity against Gram-positive and Gram-negative bacteria, one DCD-1L-derived peptide showed an even higher activity against Escherichia coli than DCD-1L. Functional analysis indicated that proteolytic processing of DCD-1L by CatD in human sweat modulates the innate immune defense of human skin.

Immuno-MALDI-TOF MS: new perspectives for clinical applications of mass spectrometry.

The discovery of novel biomarkers by means of advanced detection tools based on proteomic analysis technologies necessitates the development of improved diagnostic methods for application in clinical routine. On the basis of three different application examples, this review presents the limitations of conventional routine diagnostic assays and illustrates the advantages of immunoaffinity enrichment combined with MALDI‐TOF MS. Applying this approach increases the specificity of the analysis supporting a better diagnostic recognition, sensitivity, and differentiation of certain diseases. The use of MALDI‐TOF MS as detection method facilitates the identification of modified peptides and proteins providing additional information. Further, employing respective internal standard peptides allows for relative and absolute quantitation which is mandatory in the clinical context. Although MALDI‐TOF MS is not yet established for clinical routine diagnostics this technology has a high potential for improvement of clinical diagnostics and monitoring therapeutic efficacy.

Detection of dermcidin-derived peptides in sweat by ProteinChip® Technology

Recently, a novel antimicrobial peptide DCD-1, derived from the Dermcidin (DCD) gene and secreted by sweat glands, has been described by Schittek et al. [Nat. Immunol. 2 (2001) 1133.]. Here we describe the application of the surface-enhanced laser desorption/ionisation (SELDI) technology for the detection of DCD-1 and other dermcidin-derived peptides directly from microlitre amounts of human sweat. The advantages of the technique are as follows: (a) it can be carried out with ease and rapidity; (b) multiple samples can be processed simultaneously; (c) prior purification is not required; and (d) only a limited sample volume is necessary for both protein profiling and semiquantitation. Profiling of human sweat from various donors revealed that in addition to DCD-1, other DCD-derived peptide species were also present in significant quantities. Four of five identified peptides were DCD-1 related, while the fifth corresponded to a portion of the DCD protein outside the DCD-1 core. This provides clues as to how the novel protein is processed to its active form, though further work remains to elucidate this fully. Thus, we have demonstrated the applicability of such technology to the detection of DCD-1 and for the protein profiling of sweat in general. Such studies could reveal valuable new biomarkers for diagnosis and treatment of skin and sweat gland disorders.

Haptoglobin-α1, -α2, vitamin D-binding protein and apolipoprotein C-III as predictors of etanercept drug response in rheumatoid arthritis

IntroductionThe introduction of tumor necrosis factor-alpha (TNF-α) antagonists has substantially improved patient’s clinical outcome in rheumatoid arthritis (RA). However, nearly 20% to 40% of RA patients do not respond to anti-TNF-α treatment strategies. To identify valid predictors of TNF-α antagonist response in RA, serum proteome profiles from responders (R) and non-responders (NR) to etanercept, a soluble recombinant TNF-α receptor/IgG Fc fusion protein receptor, were compared in a prospective cohort study.MethodsIn this clinical study 50 RA patients with inadequate response to conventional DMARDs were included and treated with etanercept. The primary efficacy endpoint was response according to the European League against Rheumatism (EULAR) improvement criteria. Serum samples collected prior to initiation and after six months of etanercept therapy were cleared of the most abundant major proteins by immunoaffinity chromatography. After separation by two-dimensional differential gel electrophoresis (2D-DIGE) and identification by mass spectrometry (MS) data were validated by Western blot analysis.ResultsAfter six months of etanercept treatment 62% (n = 31) of RA patients achieved response. Haptoglobin-α1 (Hp-α1) and -α2 (Hp-α2) and vitamin D-binding protein (VDBP) were found to be significantly upregulated in responder sera (P ≤0.02) at study entry. In contrast, apolipoprotein C-III (ApoC-III) showed significantly higher levels in non-responders (P = 0.0162). At study end ApoA-II, Hp-α1, Hp-α2 and VDBP were identified to be expressed at significantly higher levels (P <0.05) in responder sera.ConclusionsBy application of clinical proteomics in immunodepleted sera we could identify and validate for the first time Hp-α1, -α2, VDBP and ApoC-III as potential biomarkers for prediction of etanercept drug response in RA.

Whole cell profiling and identification of galectin-1 as a potential marker of renal cell carcinoma

For most cancers, the patients prognosis improves dramatically if the disease is detected at an early stage. Although advancements in imaging technology have improved early detection, many cancers remain undetected until it is too late for curative intervention. We have established, for the first time, expression difference mapping analysis of whole cell proteins from renal cell carcinoma (RCC) cell lines using ProteinChip technology. A total of 20 different RCC cell lines were cultured in vitro directly on ProteinChip arrays for 24 h. Direct MS analysis of proteins from the attached cells showed identical protein profiles by all analysed RCC lines. Comparative on‐chip analysis of isolated malignant cells from native tumour specimens revealed protein patterns highly similar to those from the continuous RCC lines. However, cultured primary cortex cells showed specific protein differences. Differential protein profiling of isolated cytosolic and enriched membrane fractions from the RCC lines revealed that the protein pattern of the membrane proteins included or were identical to those of the entire cells. Proteomics analysis of the chip‐binding membrane fractions allowed the identification of three forms of galectin‐1 as potential RCC marker. ProteinChip analysis with a bound‐specific antibody certified that galectin‐1 could be an RCC marker. Immunostaining methods confirmed the overexpression of galectin‐1 in renal carcinoma in comparison to healthy tissue.

Development of a Fluorescence Resonance Energy Transfer Peptide Library Technology for Detection of Protease Contaminants in Protein-Based Raw Materials Used in Diagnostic Assays

Protease impurities in raw materials used in enzyme immunoassays can impair assay performance. This risk may be greatly decreased if incoming protein-based raw materials are controlled for protease impurities or if protease inhibitors are used in the assay formulations. As many different proteases might occur in protein raw materials, it is desirable to have a general test for protease contamination. With the help of a fluorescence resonance energy transfer peptide library containing about 2.5 million peptides, we have succeeded in establishing such a system, with sensitivity in the nanogram range for known proteases. Protease contamination was found to differ between different raw materials and was correlated with assay performance. Protease activity in contaminated raw materials could be suppressed to various degrees with different chemical inhibitors or by thermal treatment. This technology is suited for the control of incoming protein-based raw materials used for enzyme immunoassays, as well as for the optimization of the use of protein inhibitors or thermal treatment of protein-based raw materials for the inactivation of proteases.

Current strategies for the identification of immunogenic epitopes of tumor antigens

Peptide-based cancer immunotherapy relies on the identification of epitopes recognized by T-lymphocytes. Because of the high degree of polymorphism of human leukocyte antigens and issues of tumor escape from the immune response, the availability of a wide choice of diverse epitopes is essential for the therapist. There are a number of different approaches for identifying new class I- and class II-restricted target antigens appropriate for immunotherapy and as discussed in this volume, several of these are complimentary. The strategy of “reverse immunology,” which is presented in this chapter, is applied for prediction of tumor-associated antigens by in silico screening sequences of selected proteins for peptides with high binding affinity to different human leukocyte antigen molecules. Subsequently, these peptides are synthesized and tested experimentally. Here, we outline some of the most prominent current algorithms and methods for assessing the immunogenicity of the predicted peptides in vitro and in vivo. We also describe the complimentary approach of isolating major histocompatibility complexassociated peptides from target cells followed by sequencing using reverse phase highpressure liquid chromatography fractionation and mass spectrometric analysis. We conclude by discussing some of the potential advantages and disadvantages of these methods and problems associated with their application.