Identification of a panel of novel serum osteoarthritis biomarkers

Osteoarthritis (OA) is the most common rheumatic pathology. Because currently available diagnostic methods are limited and lack sensitivity, the identification of new specific biological markers for OA has become a focus. The purpose of this study was to identify novel protein biomarkers for moderate and severe OA in serum. Sera were obtained from 50 moderate OA patients, 50 severe OA patients, and 50 nonsymptomatic controls. Serum protein levels were analyzed using isobaric tags for relative and absolute quantitation (iTRAQ) and matrix-assisted laser desorption/ionization (MALDI)-TOF/TOF mass spectrometry. We identified 349 different proteins in the sera, 262 of which could be quantified by calculation of their iTRAQ ratios. Three sets of proteins were significantly (p < 0.05) changed in OA samples compared to controls. Of these, 6 were modulated only in moderate OA, 13 only in severe OA and 7 in both degrees. Although some of these proteins, such as cartilage oligomeric matrix protein, have a previously reported putative biomarker value for OA, most are novel biomarker candidates for the disease. These include some complement components, lipoproteins, von Willebrand factor, tetranectin, and lumican. The specificity and selectivity of these candidates need to be validated before new molecular diagnostic or prognostic tests for OA can be developed.     

Recombinant antibodies for the depletion of abundant proteins from human serum

The identification of biomarkers from serum or plasma is often hindered by a few proteins present at high concentrations, which may obscure less abundant proteins. Ideal serum depletion strategies would be flexible as regards the proteins to be removed, and would feature the use of reagents with long shelf-lives. In this article, we describe a novel protein depletion methodology based on the incubation of serum samples with phage-derived recombinant antibody fragments, which are able to bind to staphylococcal Protein A, and which carry a C-terminal peptide tag capable of streptavidin binding. The resulting protein-antibody complexes can be removed by simultaneous capture on Protein A and/or streptavidin resin. The depletion methodology was exemplified by the isolation of recombinant human mAb fragments specific to abundant human serum Ags and by the simultaneous depletion of albumin, immunoglobulins, alpha2-macroglobulin, hemoglobin, transferrin and haptoglobin. The depleted serum samples were analyzed by 2-DE and by gel-free MS-based methodologies, confirming the efficiency and selectivity of the depletion process. The methodology presented is modular in nature, since several recombinant antibodies can be combined in a single depletion experiment. Furthermore, antibodies do not have to be covalently coupled to a solid support facilitating long-term storage.     

Bioinformatic-driven search for metabolic biomarkers in disease

The search and validation of novel disease biomarkers requires the complementary power of professional study planning and execution, modern profiling technologies and related bioinformatics tools for data analysis and interpretation. Biomarkers have considerable impact on the care of patients and are urgently needed for advancing diagnostics, prognostics and treatment of disease. This survey article highlights emerging bioinformatics methods for biomarker discovery in clinical metabolomics, focusing on the problem of data preprocessing and consolidation, the data-driven search, verification, prioritization and biological interpretation of putative metabolic candidate biomarkers in disease. In particular, data mining tools suitable for the application to omic data gathered from most frequently-used type of experimental designs, such as case-control or longitudinal biomarker cohort studies, are reviewed and case examples of selected discovery steps are delineated in more detail. This review demonstrates that clinical bioinformatics has evolved into an essential element of biomarker discovery, translating new innovations and successes in profiling technologies and bioinformatics to clinical application.     

Differential proteomics in the search for biomarkers of radiotherapy resistance

The individualization of radiotherapy treatment would be beneficial for cancer patients; however, there are no predictive biomarkers of radiotherapy resistance in routine clinical use. This article describes the body of work in this field where comparative proteomics methods have been used for the discovery of putative biomarkers associated with radiotherapy resistance. A large number of differentially expressed proteins have been reported, mostly from the study of novel radiotherapy-resistant cell lines. Here, we have assessed these putative biomarkers through the discovery, confirmation and validation phases of the biomarker pipeline, and inform the reader on the current status of proteomics-based findings. Suggested avenues for future work are discussed.     

Proteomic analysis of traumatic brain injury: the search for biomarkers

Although there are a number of causes of traumatic brain injury (TBI), the armed conflict in Iraq and Afghanistan has brought this disorder to the attention of the global community. A biomarker that would enable army medics to rapidly diagnose the severity of TBI on the battle-field would be a huge asset. Unfortunately, the study of TBI has not historically attracted the proteomic research community's interest as other disorders have, such as cancer. On the positive side, however, many of the analytical and technological challenges that were overcome in the development of biofluid proteomic methods are now being applied to the study of TBI. In this review, we discuss and highlight select examples of discovery-driven proteomic studies focused on finding effective biomarkers for TBI.     

Proteomic analysis of traumatic brain injury: the search for biomarkers

Although there are a number of causes of traumatic brain injury (TBI), the armed conflict in Iraq and Afghanistan has brought this disorder to the attention of the global community. A biomarker that would enable army medics to rapidly diagnose the severity of TBI on the battle-field would be a huge asset. Unfortunately, the study of TBI has not historically attracted the proteomic research community’s interest as other disorders have, such as cancer. On the positive side, however, many of the analytical and technological challenges that were overcome in the development of biofluid proteomic methods are now being applied to the study of TBI. In this review, we discuss and highlight select examples of discovery-driven proteomic studies focused on finding effective biomarkers for TBI.     

The search for photosensitive agents specifically binding to human serum albumin

Binding of tetrasulfophenylporphyn with human serum albumin was studied by spectral methods. The presence on the protein of one centre of porphyrin binding with high affinity was shown.     

Effect of immunoaffinity depletion of human serum during proteomic investigations

Controversy exists regarding the proper mining of the human serum proteome. Because of the analytical challenges of accurately measuring samples containing a very large dynamic range of protein concentrations, current practices have employed depletion of the highly abundant housekeeping serum proteins, such as albumin and immunoglobins. There is question as to the selectivity of depletion, namely, is there loss of other non abundant serum proteins along with albumin, haptoglobin and other commonly depleted proteins. In this study, human serum was analyzed with and without immunoaffinity depletion of the six most abundant proteins by multidimensional liquid chromatography tandem mass spectrometry. Two replicates of each experiment were conducted and compared against one another. In both depleted and nondepleted replicates there was a 73% and 72% overlap of identified peptides and a 64% and 78% overlap of identified proteins, respectively. Of 262 unique proteins identified in the four experiments, 82 were found in common to all four experiments, 142 unique to the depleted serum, and 38 unique to the nondepleted serum. Although serum depletion of highly abundant proteins significantly increased the number of proteins identified, both the degree of sample complexity and this depletion method resulted in a nonselective loss of other proteins.     

iTRAQ-based proteomics reveals novel biomarkers of osteoarthritis

Abstract

Objective: We performed comprehensive proteomic analyses of articular cartilage by using the isobaric tags for relative and absolute quantitation (iTRAQ) method, and searched for candidate biomarkers for osteoarthritis (OA).

Methods: Articular cartilage was collected from patients with OA or femoral neck fracture for the control group. Molecular variations were detected by the iTRAQ method, and quantitative analyses were performed by western blot.

Results: Using the iTRAQ method, we identified 76 proteins with different expression levels in OA patients and the control group. Among these proteins, we selected LECT2 (leukocyte cell-derived chemotaxin-2), BAALC (brain and acute leukemia, cytoplasmic), and PRDX6 (peroxiredoxin-6), which had not been reported as biomarkers for OA.

Conclusions: Use of these proteins in combination with conventional OA biomarkers may better reflect the grade and prognosis of OA.     

Proteomic serum biomarkers for neuromuscular diseases

Introduction: The clinical evaluation of neuromuscular symptoms often includes the assessment of altered blood proteins or changed enzyme activities. However, the blood concentration of many muscle-derived serum markers is not specific for different neuromuscular disorders and also shows alterations in the course of these diseases. Thus, the establishment of more reliable biomarker signatures for improved muscle diagnostics is required.

Areas covered: To address the lack of muscle disease-specific marker molecules, mass spectrometry-based proteomics was applied to the systematic identification and biochemical characterization of new serum biomarker candidates. This article outlines serum proteomics in relation to neuromuscular disorders and reviews the bioanalytical results from recent proteomic profiling studies of representative neuromuscular disorders, including motor neuron disease, muscular dystrophies and sarcopenia of old age. Pathophysiological changes in the skeletal muscle proteome are reflected by serum alterations in a variety of sarcomeric proteins, metabolic enzymes and signaling proteins.

Expert commentary: Based on the proteomic identification of actively secreted or passively released skeletal muscle proteins following pathophysiological insults, new biomarker candidates can now be used to develop liquid biopsy procedures for superior diagnostic approaches, design novel prognostic tools and establish more reliable methods for the systematic evaluation of experimental therapies to treat neuromuscular disease.     

An approach to remove albumin for the proteomic analysis of low abundance biomarkers in human serum

Proteomic technologies are being used to discover and identify disease-associated biomarkers. The application of these technologies in the search for potential diagnostic/prognostic biomarkers in the serum of patients has been limited by the presence of highly abundant albumin and immunoglobulins that constitute approximately 60-97% of the total serum proteins. The purpose of the study was to evaluate whether treatment of human serum with Affi-Gel Blue alone or in combination with Protein A (Aurum serum protein mini kit, Bio-Rad) before two-dimensional gel electrophoresis (2-DE) analysis removed high abundance proteins to allow the visualization of low abundant proteins. Serum samples were treated with either Affi-Gel Blue or Aurum kit and then subjected to 2-DE using 11 cm, pH 4-7 isoelectric focussing strips for the first dimension and 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis for second dimension. Protein spots were visualized using a fluorescent protein dye (SYPRO Ruby, Bio-Rad). Comparison between treatment methods showed significant removal of albumin by both Affi-Gel Blue and Aurum kit and considerable differences in the protein profile of the gels after each treatment. Direct comparison between treatments revealed twenty-eight protein spots unique to Affi-Gel Blue while only two spots were unique after Aurum kit treatment. Unique spots in Affi-Gel Blue and Aurum kit treated serum were not visualized in untreated serum. Sixteen hours of Affi-Gel Blue treatment resulted in enhanced visualization of fifty-three protein spots by two-fold, thirty-one by five-fold, twelve by ten-fold and six by twenty-fold. In parallel after Aurum kit treatment two-, five-, ten- and twenty-fold enhancements of thirty, thirteen, eight and five protein spots, respectively, were observed. The pattern of increased visualization of protein spots with both treatment methods was similar. In conclusion, treatment of serum samples with Affi-Gel Blue or Aurum kit before 2-DE analysis can be used to remove high abundance proteins in order to increase the detection sensitivity of proteins present in low abundance.     

Long-term stability of biomarkers of the iron status in human serum and plasma

Abstract

Context: In epidemiological research, it is very important to test the stability of biomarkers as function of both storage time and temperature.

Objective: In this study, the stability of biomarkers of the iron status was tested up to 1 year of storage.

Materials and methods: The biomarkers include total iron, unsaturated iron binding capacity, ferritin, transferrin, soluble transferrin receptor, ceruloplasmin and haptoglobin.

Results: The concentrations of all biomarkers tested remain constant upon storage at ?20, ?70 and ?196?°C.

Conclusion: All biomarkers of the iron status were stable at the temperatures tested for 1 year.     

The search for novel diagnostic and prognostic biomarkers in cholangiocarcinoma

The poor prognosis of cholangiocarcinoma (CCA) is in part due to late diagnosis, which is currently achieved by a combination of clinical, radiological and histological approaches. Available biomarkers determined in serum and biopsy samples to assist in CCA diagnosis are not sufficiently sensitive and specific. Therefore, the identification of new biomarkers, preferably those obtained by minimally invasive methods, such as liquid biopsy, is important. The development of innovative technologies has permitted to identify a significant number of genetic, epigenetic, proteomic and metabolomic CCA features with potential clinical usefulness in early diagnosis, prognosis or prediction of treatment response. Potential new candidates must be rigorously evaluated prior to entering routine clinical application. Unfortunately, to date, no such biomarker has achieved validation for these purposes. This review is an up-to-date of currently used biomarkers and the candidates with promising characteristics that could be included in the clinical practice in the next future. This article is part of a Special Issue entitled: Cholangiocytes in Health and Disease edited by Jesus Banales, Marco Marzioni, Nicholas LaRusso and Peter Jansen.     

Comparison of different depletion strategies for improved resolution in proteomic analysis of human serum samples

Serum proteins may often serve as indicators of disease and is a rich source for biomarker discovery. However, the large dynamic range of proteins in serum makes the analysis very challenging because high-abundant proteins tend to mask those of lower abundance. A prefractionation step, such as depletion of a few high-abundant proteins before protein profiling, can assist in the discovery and detection of less abundant proteins that may prove to be informative biomarkers. In the present study, five different depletion columns were investigated considering efficiency, specificity, and reproducibility. Our research included quantitative determination of total protein, albumin, and immunoglobulin G (IgG) concentrations, one- and two-dimensional gels and mass spectrometric analysis of the serum samples before and after the depletion step. Our results showed that all five depletion columns tested removed albumin and IgG with high efficiency. We found that based on reproducibility and binding specificity, the Multiple Affinity Removal Column that removed a total of six high-abundant proteins (albumin, IgG, antitrypsin, IgA, transferring, and haptoglobin) offered the most promising depletion approach. Among the disposable (single-use) products, the ProteoExtract Albumin/IgG Removal kit displayed the best results. Depleted serum from the Multiple Affinity Removal column was further evaluated by 2-D gel electrophoresis (2-DE) analysis, and the results indicated increased resolution and improved intensity of low-abundant proteins in a reproducible fashion. Our study provides a comprehensive investigation of commercially available depletion columns and will be of high importance for future proteomic studies on serum samples.     

Current status and future prospects in the search for protein biomarkers of immunosenescence

Complex adaptations including changes in cellular redox status, the production of high levels of pro-inflammatory cytokines and alterations in immunity occur as the result of aging of the immune system (immunosenescence). These events are thought to underlie the progression of chronic degenerative diseases of aging, such as atherosclerosis, Type 2 diabetes and Alzheimer's disease. It is envisaged that identifying early biomarkers of immune aging would aid in identifying individuals at risk of age-related disease and would allow the discovery of novel intervention strategies. Proteomics has emerged as a rapidly expanding and innovative field, investigating protein expression, interaction and function at a global level. Several proteomic strategies, including use of mass spectrometry and non-mass spectrometry-based detection systems (including secondary antibody labeling with fluorescent tags) may be particularly advantageous in identifying biomarkers of immune health. Application of these approaches may identify factors that both contribute to (and define) age-dependent deregulation of the immune system.     

Current status and future prospects in the search for protein biomarkers of immunosenescence

Complex adaptations including changes in cellular redox status, the production of high levels of pro-inflammatory cytokines and alterations in immunity occur as the result of aging of the immune system (immunosenescence). These events are thought to underlie the progression of chronic degenerative diseases of aging, such as atherosclerosis, Type 2 diabetes and Alzheimer’s disease. It is envisaged that identifying early biomarkers of immune aging would aid in identifying individuals at risk of age-related disease and would allow the discovery of novel intervention strategies. Proteomics has emerged as a rapidly expanding and innovative field, investigating protein expression, interaction and function at a global level. Several proteomic strategies, including use of mass spectrometry and non-mass spectrometry-based detection systems (including secondary antibody labeling with fluorescent tags) may be particularly advantageous in identifying biomarkers of immune health. Application of these approaches may identify factors that both contribute to (and define) age-dependent deregulation of the immune system.     

Sequential combination of karyotyping and RNA-sequencing in the search for cancer-specific fusion genes

Cancer-specific fusion genes are often caused by cytogenetically visible chromosomal rearrangements such as translocations, inversions, deletions or insertions, they can be the targets of molecular therapy, they play a key role in the accurate diagnosis and classification of neoplasms, and they are of prognostic impact. The identification of novel fusion genes in various neoplasms therefore not only has obvious research importance, but is also potentially of major clinical significance. The “traditional” methodology to detect them began with cytogenetic analysis to find the chromosomal rearrangement, followed by utilization of fluorescence in situ hybridization techniques to find the probe which spans the chromosomal breakpoint, and finally molecular cloning to localize the breakpoint more precisely and identify the genes fused by the chromosomal rearrangement. Although laborious, the above-mentioned sequential approach is robust and reliable and a number of fusion genes have been cloned by such means. Next generation sequencing (NGS), mainly RNA sequencing (RNA-Seq), has opened up new possibilities to detect fusion genes even when cytogenetic aberrations are cryptic or information about them is unknown. However, NGS suffers from the shortcoming of identifying as “fusion genes” also many technical, biological and, perhaps in particular, clinical “false positives,” thus making the assessment of which fusions are important and which are noise extremely difficult. The best way to overcome this risk of information overflow is, whenever reliable cytogenetic information is at hand, to compare karyotyping and sequencing data and concentrate exclusively on those suggested fusion genes that are found in chromosomal breakpoints.This article is part of a Directed Issue entitled: Rare Cancers.