Prospective applications of ultrahigh resolution proteomics in clinical mass spectrometry

Introduction: Advances in mass spectrometry (MS)-based proteomic strategies have resulted in robust protein biomarker discovery studies often performed on high resolution accurate mass (HRAM) platforms. For successful translation of promising protein biomarkers into useful clinical tests, trans-sector networks and collaboration among stakeholders involved in the biomarker pipeline are urgently needed.

Areas covered: In this perspective, literature- and empirical evidence is combined with author’s opinions to discuss the progress of ultrahigh resolution MS and provide insight in its potential for validation and development of clinical tests.

Expert commentary: Thus far two ‘low resolution’ MS strategies have been implemented in the clinic: quantification of proteins using triple quadrupole instruments and identification of unknown microorganisms using comparative analysis with spectral libraries on MALDI-TOF instruments. The rise of HRAM technology further boosts the potential of MS-based tests for detection and quantitation of disease-specific biomarkers which meet the analytical performance specifications needed for clinical assays.     

Current state of the art for enhancing urine biomarker discovery

Introduction: Urine is a highly desirable biospecimen for biomarker analysis because it can be collected recurrently by non-invasive techniques, in relatively large volumes. Urine contains cellular elements, biochemicals, and proteins derived from glomerular filtration of plasma, renal tubule excretion, and urogenital tract secretions that reflect, at a given time point, an individual’s metabolic and pathophysiologic state.

Areas covered: High-resolution mass spectrometry, coupled with state of the art fractionation systems are revealing the plethora of diagnostic/prognostic proteomic information existing within urinary exosomes, glycoproteins, and proteins. Affinity capture pre-processing techniques such as combinatorial peptide ligand libraries and biomarker harvesting hydrogel nanoparticles are enabling measurement/identification of previously undetectable urinary proteins.

Expert commentary: Future challenges in the urinary proteomics field include a) defining either single or multiple, universally applicable data normalization methods for comparing results within and between individual patients/data sets, and b) defining expected urinary protein levels in healthy individuals.     

Beta-2-glycoprotein-1 and alpha-1-antitrypsin as urinary markers of renal cancer in von Hippel–Lindau patients

Context: Von Hippel–Lindau disease (VHLD) is a rare inherited neoplastic syndrome. Among all the VHLD-associated tumors, clear cell renal cell carcinoma (ccRCC) is the major cause of death.

Objective: The aim of this paper is the discovery of new non-invasive biomarker for the monitoring of VHLD patients.

Materials and methods: We compared the urinary proteome of VHLD patients, ccRCC patients and healthy volunteers.

Results: Among all differentially expressed proteins, alpha-1-antitrypsin (A1AT) and APOH (beta-2-glycoprotein-1) are strongly over-abundant only in the urine of VHLD patients with a history of ccRCC.

Discussion and conclusion: A1AT and APOH could be promising non-invasive biomarkers.     

Mass spectrometry applications in microbiology beyond microbe identification: progress and potential

Introduction: Mass spectrometry (MS), particularly MALDI-time of flight (MALDI-TOF), has become a routine tool for microorganism identification in clinical microbiology laboratories in the last five years. The use of MALDI-TOF MS has accelerated laboratory analysis, thus providing accurate species-level information with very short turnaround times.

Areas covered: Beyond microbe identification, MALDI-TOF MS offers great opportunities for fast strain typing and detection of antimicrobial susceptibility/resistance in both bacterial and fungal organisms. Drawing on evidence from PubMed literature searches, clinical microbiology laboratory experience, and the authors’ opinions, this review summarizes recent significant advances and ongoing challenges in these areas.

Expert commentary: In the near future, it is expected that the implementation of new analytical algorithms, automation of procedures, and refinement of assays will enhance the clinical and epidemiological usefulness of MALDI-TOF and other MS technologies.     

CSF analysis for protein biomarker identification in patients with leptomeningeal metastases from CNS lymphoma

Introduction: Leptomeningeal metastases (LM) from lymphoma remain a difficult complication for oncologist due to the high incidence in morbidity and mortality. Early diagnostic and initiation of treatment are essential to prevent neurological deterioration.

Areas covered: In this review, several proteomic approaches are described in order to help and provide the basis for the identification of biomarkers useful in early diagnosis, also in discovery novel targets for therapeutic agents. In fact, the identification of biomarkers will have a high potential to detect leptomeningeal lymphoma, as well as to predict its progression and treatment response.

Expert commentary: In the case of LM by Central nervous system (CNS) lymphoma, these studies generated the first insights into the utility of proteomic analysis for biomarker identification and will be demonstrated that identifying specific proteins in cerebrospinal fluid (CSF) had much greater sensitivity for detecting LM in comparison to standard cytological protocols.     

Proteomic approaches to identify blood-based biomarkers for depression and bipolar disorders

Introduction: Major depressive disorder (MDD) and bipolar disorder (BD) are leading causes of disability worldwide, yet many people remain undiagnosed, are misdiagnosed, and/or ineffectively treated. Diagnosis relies on the clinical assessment of symptoms, and there is currently no molecular or brain-imaging diagnostic test available. Identifying and validating protein biomarkers could provide a more accurate and objective means of diagnosis.

Areas covered: Proteomics is a powerful tool that enables the identification and quantification of novel candidate biomarkers of disease. In this review, we discuss the role of proteomic technologies in biomarker discovery and validation, peripheral blood as a source of protein biomarkers, statistical methods for analyzing proteomic data, and some existing challenges in the field. We also review a selection of previously published studies focused on identifying blood-based diagnostic protein biomarkers of MDD and BD within a ten-year period.

Expert commentary: Proteomic studies have led to the identification of numerous potential biomarkers of MDD and BD. However, clinical validation and translation into clinical practice have not yet been achieved. Conducting large-scale validation studies and addressing various factors that limit the reproducibility of the proteomic findings are key to ensure that robust and reliable biomarker tests are developed and clinically validated.     

Proteomic studies in the discovery of cerebrospinal fluid biomarkers for amyotrophic lateral sclerosis

Introduction: Amyotrophic lateral sclerosis (ALS) is a progressive degenerative motor neuron disease, which usually leads to death within a few years. The diagnosis is mainly based on clinical symptoms and there is a need for ALS-specific biomarkers to make an early and precise diagnosis, for development of disease-modifying drugs and to gain new insights into pathophysiology.

Areas covered: In the present review, we summarize studies using mass spectrometric (MS) approaches to identify protein alterations in the cerebrospinal fluid (CSF) of ALS patients. In total, we identified 11 studies fulfilling our criteria by searching in the PubMed database using the keywords ‘ALS’ and ‘CSF’ combined with ‘proteome’, ‘proteomic’, ‘mass spectrometry’ or ‘protein biomarker’. Ten proteins were differently regulated in ALS CSF compared to controls in at least 2 studies. We will discuss the relevance of the identified proteins regarding the frequency of identification, extent of alteration and brain-specificity.

Expert commentary: Most of the identified CSF biomarker candidates are irreproducible or mainly blood-derived. We assign the missing success of CSF proteomic studies in biomarker discovery to a lack of sensitivity, unsuitable normalization, low quality assurance and variations originating from sample preparation. These issues must be improved in future proteomic studies in CSF.     

Progress and prospects for the discovery of biomarkers for gastric cancer: a focus on proteomics

Introduction: Patient outcomes from gastric cancer vary due to the complexity of stomach carcinogenesis. Recent research using proteomic technologies has targeted components of all of these systems in order to develop biomarkers to aid the early diagnosis of gastric cancer and to assist in prognostic stratification.

Areas covered: This review is comprised of evidence obtained from literature searches from PubMed. It covers the evidence of diagnostic, prognostic, and predictive biomarkers for gastric cancer using proteomic technologies, and provides up-to-date references.

Expert commentary: The proteomic technologies have not only enabled the screening of a large number of samples, but also enabled the identification of diagnostic, prognostic and predictive biomarkers for gastric cancer. While major challenges still remain, to date, proteomic studies in gastric cancer have provided a wealth of information in revealing proteome alterations associated with the disease.     

Release kinetics of high-sensitivity cardiac troponins I and T and troponin T upstream open reading frame peptide (TnTuORF) in clinically induced acute myocardial infarction

Context: Troponin T upstream open reading frame peptide (TnTuORF) may be useful as a novel biomarker in acute cardiac syndromes.

Objective: The study examined the early release kinetics of TnTuORF.

Materials and methods: We analyzed the time course of the release of cardiac troponins I and T and TnTuORF in patients (n?=?31) with hypertrophic obstructive cardiomyopathy undergoing transcoronary ablation of septal hypertrophy (TASH).

Results: Fifteen minutes after TASH, the levels of both troponins increased significantly (cTnT median: 18?ng/L versus 27?ng/L; cTnI median: 15?ng/L versus 25?ng/L). TnTuORF showed no variation.

Discussion: We observed a significantly greater increase in cTnI compared with cTnT.

Conclusion: Our results demonstrate that troponin assays allow early detection of myocardial injury, whereas TnTuORF levels remain unchanged in this setting.     

Cancer biomarker discovery and translation: proteomics and beyond

Introduction: Cancer is often diagnosed at late stages when the chance of cure is relatively low and although research initiatives in oncology discover many potential cancer biomarkers, few transition to clinical applications. This review addresses the current landscape of cancer biomarker discovery and translation with a focus on proteomics and beyond.

Areas covered: The review examines proteomic and genomic techniques for cancer biomarker detection and outlines advantages and challenges of integrating multiple omics approaches to achieve optimal sensitivity and address tumor heterogeneity. This discussion is based on a systematic literature review and direct participation in translational studies.

Expert commentary: Identifying aggressive cancers early on requires improved sensitivity and implementation of biomarkers representative of tumor heterogeneity. During the last decade of genomic and proteomic research, significant advancements have been made in next generation sequencing and mass spectrometry techniques. This in turn has led to a dramatic increase in identification of potential genomic and proteomic cancer biomarkers. However, limited successes have been shown with translation of these discoveries into clinical practice. We believe that the integration of these omics approaches is the most promising molecular tool for comprehensive cancer evaluation, early detection and transition to Precision Medicine in oncology.     

CRP velocity and short-term mortality in ST segment elevation myocardial infarction

Context: There is a known association between C-reactive protein (CRP) levels and adverse outcomes in patients presenting with ST-elevation myocardial infarction (STEMI). The optimal time frame to measure CRP for risk stratification is not known.

Objective: The aim of the current study was to evaluate the relation between the change in CRP velocity (CRPv) and 30-d mortality among STEMI patients.

Material and methods: We included consecutive patients with a diagnosis of STEMI who presented to Tel-Aviv Medical Center between 2008 and 2014 and had their CRP measured with a wide range assay (wr-CRP) at least twice during the 24?h after admission. CRPv was defined as the change in wr-CRP concentration (mg/l) divided by the change in time (in hours) between the two measurements.

Results: The study population comprised of 492 patients, mean age was 62?±?14, 80% were male. CRPv was significantly higher among patients who died within 30 d of admission (1.42?mg/l versus 0.18?mg/l, p?<?0.001). In a multivariate regression model adjusted to multiple confounders, CRPv was independently associated with 30-d mortality (OR 1.39, 95% CI: 1.20–1.62, p?<?0.001).

Conclusion: CRPv might be an independent and rapidly measurable biomarker for short-term mortality in patients presenting with STEMI.     

Emerging power of proteomics for delineation of intrinsic tumor subtypes and resistance mechanisms to anti-cancer therapies

Introduction: Despite extreme genetic heterogeneity, tumors often show similar alterations in the expression, stability, and activation of proteins important in oncogenic signaling pathways. Thus, classifying tumor samples according to shared proteomic features may help facilitate the identification of cancer subtypes predictive of therapeutic responses and prognostic for patient outcomes. Meanwhile, understanding mechanisms of intrinsic and acquired resistance to anti-cancer therapies at the protein level may prove crucial to devising reversal strategies.

Areas covered: Herein, we review recent advances in quantitative proteomic technology and their applications in studies to identify intrinsic tumor subtypes of various tumors, to illuminate mechanistic aspects of pharmacological and oncogenic adaptations, and to highlight interaction targets for anti-cancer compounds and cancer-addicted proteins.

Expert commentary: Quantitative proteomic technologies are being successfully employed to classify tumor samples into distinct intrinsic subtypes, to improve existing DNA/RNA based classification methods, and to evaluate the activation status of key signaling pathways.     

Circulating levels of apoptotic markers and oxidative stress parameters in women with polycystic ovary syndrome: a case-controlled descriptive study

Context: Apoptotic dysregulation plays a role in the pathogenesis of polycystic ovary syndrome (PCOS).

Objective: To evaluate circulatory apoptotic markers and oxidative stress in patients with PCOS.

Materials and methods: Forty-four women with PCOS, and 44 healthy women as controls were enrolled in the study. Oxidative stress parameters and caspases levels were measured in serum.

Results: The caspase 9 level was significantly lower and related with oxidant status in patients with PCOS, while the circulating levels of caspases 3 and 7 were statistically similar in both groups.

Discussion: This study is the first report demonstrating the circulating levels of apoptotic markers and their relationship with oxidant status in PCOS.

Conclusion: The circulating caspase 9 and oxidant status might contribute to apoptotic dysregulation in PCOS.     

Validation of a protein panel for the noninvasive detection of recurrent non-muscle invasive bladder cancer

Context: About 50–70% of patients with non-muscle invasive bladder cancer (NMIBC) experience relapse of disease.

Objective: To establish a panel of protein biomarkers incorporated in a multiplexed microarray (BCa chip) and a classifier for diagnosing recurrent NMIBC.

Materials and methods: Urine samples from 45 patients were tested. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis.

Results: A multi biomarker panel (ECadh, IL8, MMP9, EN2, VEGF, past recurrences, BCG therapies and stage at diagnosis) was identified yielding an area under the curve of 0.96.

Discussion and conclusion: This biomarker panel represents a potential diagnostic tool for noninvasive diagnosis of recurrent NMIBC.     

Advances in the development of human protein microarrays

Introduction: High-content protein microarrays in principle enable the functional interrogation of the human proteome in a broad range of applications, including biomarker discovery, profiling of immune responses, identification of enzyme substrates, and quantifying protein-small molecule, protein-protein and protein-DNA/RNA interactions. As with other microarrays, the underlying proteomic platforms are under active technological development and a range of different protein microarrays are now commercially available. However, deciphering the differences between these platforms to identify the most suitable protein microarray for the specific research question is not always straightforward.

Areas covered: This review provides an overview of the technological basis, applications and limitations of some of the most commonly used full-length, recombinant protein and protein fragment microarray platforms, including ProtoArray Human Protein Microarrays, HuProt Human Proteome Microarrays, Human Protein Atlas Protein Fragment Arrays, Nucleic Acid Programmable Arrays and Immunome Protein Arrays.

Expert commentary: The choice of appropriate protein microarray platform depends on the specific biological application in hand, with both more focused, lower density and higher density arrays having distinct advantages. Full-length protein arrays offer advantages in biomarker discovery profiling applications, although care is required in ensuring that the protein production and array fabrication methodology is compatible with the required downstream functionality.     

Obesity is an independent determinant of elevated C-reactive protein in healthy women but not men

Background and aims: High-sensitivity C-reactive protein (hs CRP) has emerged as an inflammatory biomarker to predict metabolic syndrome. Here, we investigate the association of hs CRP with metabolic variables and determine the risks for elevated hs CRP levels in healthy Singaporean adults.

Methods: We conducted a cross-sectional study of 225 participants (104 men). The levels of hs CRP and fasting lipid parameters were analyzed by COBAS. Body composition was determined with dual-energy X-ray absorptiometry.

Results: Twenty-one (9?%) participants had elevated hs CRP levels (>3?mg/mL). The levels of hs CRP had significant correlations (p?<0.05) with obesity and metabolic variables among women. Stepwise multivariate regression analysis identified FM (%) (accounted for 22.5% of the variability in hs CRP levels) as a major determinant of hs CRP levels. On multivariate regression, FM (%) was the independent determinant of intermediate and elevated hs CRP in women after adjustment for the potential confounders.

Conclusions: Obesity may play a direct role in the elevated hs CRP levels in women, but not men living in Singapore. This is probably due to different body composition or different effects of sex hormones on adipose tissue between men and women.     

Salivary protein changes in response to acute stress in medical residents performing advanced clinical simulations: a pilot proteomics study

Context: Quantitative changes of salivary proteins due to acute stress were detected.

Objective: To explore protein markers of stress in saliva of eight medical residents who performed emergency medicine simulations.

Materials and methods: Saliva was collected before the simulations, after the simulations, and following morning upon waking. Proteins were separated by sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE), identified by mass spectrometry (MS), and relatively quantified by densitometry.

Results: Salivary alpha-amylase and S–type cystatins significantly increased, while the ～26?kDa and low-molecular weight (MW) (<10?kDa) SDS-PAGE bands exhibited changes after stress.

Discussion and conclusion: Alpha-amylase and cystatins are potential salivary markers of acute stress, but further validation should be performed using larger sample populations.     

Biomarker discovery for drug-induced phospholipidosis: phenylacetylglycine to hippuric acid ratio in urine and plasma as potential markers

Context: Drug-induced phospholipidosis is one of the significant concerns in drug development, especially in safety assessment and noninvasive diagnostic tool is highly desirable.

Objective: The objective of this study is to explored novel biomarkers for phospholipidosis using a metabolomic approach.

Method: NMR spectrometry and LC/MS/MS analyses were applied to urine and plasma of rats administrated cationic amphiphilic drugs.

Results: The phenylacetylglycine to hippuric acid ratio in plasma was increased in time and dose-dependent manners; and it was well correlated with histopathological observation.

Conclusion: The plasma phenylacetylglycine to hippuric acid ratio is a potential marker in monitoring drug-induced phospholipidosis.     

Neopterin and oxidative stress markers in the diagnosis of extrapulmonary tuberculosis

Background: Extrapulmonary tuberculosis (EPTB) often presents with nonspecific signs and symptoms. Further the paucibacillary nature of extrapulmonary specimens and irregular distribution of bacilli lower the sensitivity of conventional diagnostic methods making EPTB, a diagnostic dilemma.

Objective: To study neopterin, protein carbonyl and malondialdehyde (MDA) in EPTB.

Methods: Sixty nine clinically confirmed cases with an equal number of age and sex matched healthy controls were enrolled. Ziehl–Neelsen staining for acid fast bacilli and culture on Lowenstein–Jensen medium were performed on all the extrapulmonary specimens. Serum neopterin and protein carbonyl levels were estimated using commercial ELISA kits. Malondialdehyde was determined by measuring thiobarbituric acid reactive substances.

Results: Serum neopterin, protein carbonyl and MDA levels were significantly discriminative for cases of EPTB from healthy controls (p?<?0.05). Levels of all the three biomarkers under study significantly differed between culture as well as smear positive and negative cases. A positive correlation between neopterin and protein carbonyl was seen among the cases.

Conclusions: So far few studies have integrated combination of validated host biomarkers for active disease in EPTB. Our study suggests the potential diagnostic role of neopterin, protein carbonyl and MDA in EPTB.     

Identification of circulating protein biomarkers in patients with hepatocellular carcinoma concomitantly infected with chronic hepatitis C virus

Context: The incidence rate of hepatocellular carcinoma (HCC) is higher in developing countries, and most cases are associated with chronic hepatitis C virus (HCV) infection.

Objective: To evaluate the circulating proteins as liver biomarkers for the identification of HCC associated with HCV infection in Egyptian patients using LC-MS/MS analysis.

Methods: Blood sera were collected from 31 HCC patients and the fractionated proteins were subjected to LC-MS/MS analysis. Protein candidates were validated by enzyme-linked immunosorbent assay (ELISA).

Results: Thirty-three proteins were significantly identified in the sera of HCC patients with persistent HCV infection. These proteins are involved in several biological processes including acute phase response, complement activation, hemostasis process and lipid metabolism. The level of lectin galactoside-binding soluble 3 binding protein (LGALS3BP), Kininogen-1 (KNG1), serum amyloid A2 (SAA2) and paraoxonase 1 (PON1) and alpha-fetoprtoein (AFP) were elevated in serum.

Conclusion: In HCC patients with chronic HCV infection, we identified a group of differentially expressed circulating proteins involved in regulating different cellular mechanisms.