Is cerebrospinal fluid obtained for diagnostic purpose a good material for biomarker studies in amyotrophic lateral sclerosis?

Abstract

The cerebrospinal fluid (CSF) used for identification of molecular biomarkers in amyotrophic lateral sclerosis (ALS) is mainly obtained from lumbar puncture (LP) performed to exclude other causes of motor neuron damage.

Aim: The aim of the study was to analyze whether CSF of ALS patients obtained for diagnostic purposes is suitable for biomarker studies in the entire ALS population.

Material and methods: We analyzed the medical data, LP frequency and CSF parameters in 568 ALS patients.

Results: LP was performed in 34% of cases. Patients who underwent LP were significantly younger and more frequently presented limb onset ALS, there were no differences in the clinical phenotypes.

Conclusion: CSF obtained for diagnostic purposes can be used for biomarkers studies in ALS.     

Will urinary biomarkers provide a breakthrough in diagnosing cardiac surgery-associated AKI? – A systematic review

Abstract

Introduction: Acute kidney injury following cardiac surgery is a dreaded complication contributing to early mortality. Diagnosing AKI using serum creatinine usually results in a delay. To combat this, certain kidney damage specific biomarkers were investigated to identify if they can serve as early predictors of cardiac surgery-associated AKI (CSA-AKI). This study systematically reviews three such biomarkers; NGAL, tissue inhibitor of matrix metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding protein-7 (IGFBP7) to identify if they can serve as early predictors of CSA-AKI.

Methods: Systematic search was carried out on literature reporting the diagnostic ability of the three biomarkers from databases in accordance with PRISMA guidelines.

Results: We found 43 articles reporting urinary-NGAL levels (n?=?34 in adults, n?=?9 in children) and 10 studies reporting TIMP-2 and IGFBP7 levels among adults. Interestingly, NGAL showed high diagnostic value in predicting AKI in children (seven among nine studies with AUROC?>?0.8). The cell cycle arrest biomarkers, namely TIMP-2 and IGFBP7, showed high diagnostic value in predicting AKI in adults (five among ten studies with AUROC?>?0.8).

Conclusion: In predicting CSA-AKI; the diagnostic value of NGAL is high in the paediatric population while the diagnostic value of TIMP-2 and IGFBP7 is high in adults.     

Prognostic and diagnostic significance of mid-regional pro-atrial natriuretic peptide in acute exacerbation of chronic obstructive pulmonary disease and acute heart failure: data from the ACE 2 Study

Abstract

Purpose: To compare the diagnostic and prognostic value of mid-regional pro-ANP (MR-proANP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) in patients with acute dyspnea.

Methods: MR-proANP and NT-proBNP were measured with commercial immunoassays at hospital admission (n?=?313), on day 2 (n?=?234), and before discharge (n?=?91) and compared for diagnosing acute heart failure (HF; n?=?143) and to predict mortality among patients with acute HF and acute exacerbation of chronic obstructive pulmonary disease (AECOPD; n?=?84) separately.

Results: The correlation coefficient between MR-proANP and NT-proBNP was 0.89 (p?<?0.001) and the receiver-operating area under the curve (AUC) was 0.85 (95% CI 0.81–0.89) for MR-proANP and 0.86 (0.82–0.90) for NT-proBNP to diagnose acute HF. During a median follow-up of 816?days, mortality rates were 46% in acute HF patients and 42% in AECOPD patients. After adjustment for other risk variables by multivariate Cox regression analysis, MR-proANP and NT-proBNP concentrations were associated with mortality in patients with acute HF, but only MR-proANP were associated with mortality among patients with AECOPD: hazard ratio (_lnMR-proANP) 1.98 (95% CI 1.17–3.34).

Conclusion: MR-proANP and NT-proBNP concentrations provide similar diagnostic and prognostic information in patients with acute HF. In contrast to NT-proBNP, MR-proANP measurements also provided independent prognostic information in AECOPD patients.     

Candidate proteomic biomarkers for non-alcoholic fatty liver disease (steatosis and non-alcoholic steatohepatitis) discovered with mass-spectrometry: a systematic review

Context: Non-alcoholic fatty liver disease (NAFLD) is characterized by lipid accumulation in the liver which is accompanied by a series of metabolic deregulations. There are sustained research efforts focusing upon biomarker discovery for NAFLD diagnosis and its prognosis in order investigate and follow-up patients as minimally invasive as possible.

Objective: The objective of this study is to critically review proteomic studies that used mass spectrometry techniques and summarize relevant proteomic NAFLD candidate biomarkers.

Methods: Medline and Embase databases were searched from inception to December 2014.

Results: A final number of 22 records were included that identified 251 candidate proteomic biomarkers. Thirty-three biomarkers were confirmed – 14 were found in liver samples, 21 in serum samples, and two from both serum and liver samples.

Conclusion: Some of the biomarkers identified have already been extensively studied regarding their diagnostic and prognostic capacity. However, there are also more potential biomarkers that still need to be addressed in future studies.     

Predictive value of metabolomic biomarkers for cardiovascular disease risk: a systematic review and meta-analysis

Abstract

Background: Metabolomic analysis aids in the identification of novel biomarkers by revealing the metabolic dysregulations underlying cardiovascular disease (CVD) aetiology. The aim of this study was to evaluate which metabolic biomarkers could add value for the prognosis of CVD events using meta-analysis.

Methods: The PRISMA guideline was followed for the systematic review. For the meta-analysis, biomarkers were included if they were tested in multivariate prediction models for fatal CVD outcomes. We grouped the metabolites in biological classes for subgroup analysis. We evaluated the prediction performance of models which reported discrimination and/or reclassification statistics.

Results: For the systematic review, there were 22 studies which met the inclusion/exclusion criteria. For the meta-analysis, there were 41 metabolites grouped into 8 classes from 19 studies (45,420 subjects, 5954 events). A total of 39 of the 41 metabolites were significant with a combined effect size of 1.14 (1.07–1.20). For the predictive performance assessment, there were 21 studies, 54,337 subjects, 6415 events. The average change in c-statistic after adding the biomarkers to a clinical model was 0.0417 (SE 0.008).

Conclusions: This study provides evidence that metabolomic biomarkers, mainly lipid species, have the potential to provide additional prognostic value. Current data are promising, although approaches and results are heterogeneous.     

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.     

Diagnostic function of the neuroinflammatory biomarker YKL-40 in Alzheimer’s disease and other neurodegenerative diseases

Introduction: Neuroinflammation is a crucial mechanism in the pathophysiology of neurodegenerative diseases pathophysiology. Cerebrospinal fluid (CSF) YKL-40 – an indicator of microglial activation ? has recently been identified by proteomic studies as a candidate biomarker for Alzheimer’s disease (AD).

Areas covered: We review the impact of CSF YKL-40 as a pathophysiological biomarker for AD and other neurodegenerative diseases. CSF YKL-40 concentrations have been shown to predict progression from prodromal mild cognitive impairment to AD dementia. Moreover, a positive association between CSF YKL-40 and other biomarkers of neurodegeneration – particularly total tau protein ? has been reported during the asymptomatic preclinical stage of AD and other neurodegenerative diseases. Albeit preliminary, current data do not support an association between APOE-ε4 status and CSF YKL-40 concentrations. When interpreting the diagnostic/prognostic significance of CSF YKL-40 concentrations in neurodegenerative diseases, potential confounders – including age, metabolic and cardiovascular risk factors, diagnostic criteria for selecting cases/controls – need to be considered.

Expert opinion/commentary: CSF YKL-40 represents a pathophysiological biomarker reflecting immune/inflammatory mechanisms in neurodegenerative diseases, associated with tau protein pathology. Besides being associated with tau pathology, CSF YKL-40 adds to the growing array of biomarkers reflecting distinct molecular brain mechanisms potentially useful for stratifying individuals for biomarker-guided, targeted anti-inflammatory therapies emerging from precision medicine.     

Progress in the search for circulating biomarkers of nonalcoholic fatty liver disease

Abstract

Context: The definitive standard for the diagnosis of nonalcoholic fatty liver disease (NAFLD) is clinico-pathological correlation, but frequently the only laboratory abnormality is an elevation of serum aminotransferases.

Objective: This has resulted in the search for more specific laboratory biomarkers.

Methods: The literature was searched for novel plasma/serum markers of NAFLD.

Results: Studies reviewed here included histologically-confirmed patients presenting some stage of NAFLD and monitored one or more novel serum/plasma biomarkers.

Conclusion: The most promising application of some of these novel biomarkers for the detection and quantification of NAFLD and particularly NASH appears to be in the combination of several into diagnostic panels.     

Comparison of temporal changes in established cardiovascular biomarkers after acute coronary syndrome between Caucasian and Chinese patients with diabetes mellitus

Abstract

Background: Population means of conventional cardiovascular biomarkers are known to differ between ethnic groups. In this study we performed detailed comparisons in the temporal pattern of these biomarkers between Caucasian and Chinese diabetic patients with acute coronary syndrome (ACS).

Methods: We studied differences in temporal changes of established cardiovascular biomarkers, including high-density lipoprotein (HDL), low-density lipoprotein (LDL), total cholesterol, cardiac Troponin T (TnT), NT-proBNP and C-reactive protein (CRP), in 48 Chinese and 48 clinically matched Caucasian patients with type 2 diabetes mellitus who were admitted for ACS. Blood samples were collected at regular time intervals during 30?days to 1?year after the index ACS.

Results: In the >30?day post ACS period, mean serum levels of LDL (2.16 vs. 1.47?mmol/L; p-value <0.001), total cholesterol (4.08 vs. 3.11?mmol/L; p-value <0.001), TnT (11.0 vs. 7.76?ng/L; p-value 0.010) and CRP (2.0 vs. 0.78?mg/L; p-value <0.001) were systematically higher in Caucasian than in Chinese patients. HDL and NT-proBNP levels were similar.

Conclusions: Our study showed clinically relevant differences in levels of established cardiovascular biomarkers between Caucasian and Chinese post ACS patients. Further cross-ethnic studies are warranted to determine secondary prevention treatment biomarker targets in specific populations.     

Serum interleukin-17 as a diagnostic and prognostic marker for non-small cell lung cancer

Abstract

Objective: The aim of this study was to explore the clinical role of serum interleukin (IL)-17 in patients with non-small-cell lung cancer (NSCLC).

Materials and method: Serum specimens from 128 patients with NSCLC and 60 healthy controls were collected. The concentrations of IL-17 were measured using enzyme-linked immunosorbent assay.

Results: Serum IL-17 levels were higher in the NSCLC group in comparison with the control group (p?<?0.01). With a cut-off value of 16?pg/ml, IL-17 showed a good diagnostic performance for NSCLC. Multivariate survival analysis indicated that IL-17 was an independent prognostic factor in NSCLC.

Conclusion: Measurement of IL-17 might be a useful diagnostic and prognostic value for patients with NSCLC.     

Systemic sclerosis biomarkers discovered using mass-spectrometry-based proteomics: a systematic review

Abstract

Context: Systemic sclerosis (SSc) is an autoimmune disease with incompletely known physiopathology. There is a great challenge to predict its course and therapeutic response using biomarkers.

Objective: To critically review proteomic biomarkers discovered from biological specimens from systemic sclerosis patients using mass spectrometry technologies.

Methods: Medline and Embase databases were searched in February 2014.

Results: Out of the 199 records retrieved, a total of 20 records were included, identifying 116 candidate proteomic biomarkers.

Conclusion: Research in SSc proteomic biomarkers should focus on biomarker validation, as there are valuable mass-spectrometry proteomics studies in the literature.     

NCF2, MYO1F,S1PR4, and FCN1 as potential noninvasive diagnostic biomarkers in patients with obstructive coronary artery: A weighted gene co-expression network analysis

This study aims to explore the predictive noninvasive biomarker for obstructive coronary artery disease (CAD). By using the data set GSE90074, weighted gene co-expression network analysis (WGCNA), and protein–protein interactive network, construction of differentially expressed genes in peripheral blood mononuclear cells was conducted to identify the most significant gene clusters associated with obstructive CAD. Univariate and multivariate stepwise logistic regression analyses and receiver operating characteristic analysis were used to predicate the diagnostic accuracy of biomarker candidates in the detection of obstructive CAD. Furthermore, functional prediction of candidate gene biomarkers was further confirmed in ST-segment elevation myocardial infarction (STEMI) patients or stable CAD patients by using the datasets of GSE62646 and GSE59867. We found that the blue module discriminated by WGCNA contained 13 hub-genes that could be independent risk factors for obstructive CAD (P < .05). Among these 13 hub-genes, a four-gene signature including neutrophil cytosol factor 2 (NCF2, P = .025), myosin-If (MYO1F, P = .001), sphingosine-1-phosphate receptor 4 (S1PR4, P = .015), and ficolin-1 (FCN1, P = .012) alone or combined with two risk factors (male sex and hyperlipidemia) may represent potential diagnostic biomarkers in obstructive CAD. Furthermore, the messenger RNA levels of NCF2, MYO1F, S1PR4, and FCN1 were higher in STEMI patients than that in stable CAD patients, although S1PR4 showed no statistical difference (P > .05). This four-gene signature could also act as a prognostic biomarker to discriminate STEMI patients from stable CAD patients. These findings suggest a four-gene signature (NCF2, MYO1F, S1PR4, and FCN1) alone or combined with two risk factors (male sex and hyperlipidemia) as a promising prognostic biomarker in the diagnosis of STEMI. Well-designed cohort studies should be implemented to warrant the diagnostic value of these genes in clinical purpose.     

Association of galectin-3 with changes in left ventricular function in recent-onset dilated cardiomyopathy

Abstract

Background: The course of newly diagnosed dilated cardiomyopathy (DCM) varies from persistent reduction of left ventricular ejection fraction (LVEF) to recovery or even worsening. The aim of the present study was to examine the prognostic value of selected biomarkers with regard to changes in LVEF.

Methods: Main inclusion criterion was LVEF ≤45% with exclusion of coronary artery or valvular heart disease. The primary endpoint was LVEF ≤35% in the follow-up echocardiogram. Galectin-3, N-terminal prohormone of brain natriuretic peptide (NT-proBNP) and C-reactive protein (CRP) were related to the endpoint.

Results: Data from 80 DCM patients (55 male, mean age 53 years) were analyzed. Median LVEF was 25% (IQR 25–30). The endpoint was met for 24 patients (30%). These had higher baseline levels of galectin-3 (median 20.3?ng/mL [IQR 14.3–26.9] vs. 14.7?ng/mL [IQR 10.9–17.7], p?=?0.007) and NT-proBNP (3089?pg/mL [IQR 1731–6694] vs. 1498?pg/mL [IQR 775–3890]; p?=?0.004) in univariate Cox regression analysis. ROC analysis revealed that CRP (median 0.4?mg/dL [IQR 0.2–1.2]) was also related to the endpoint (p?=?0.043).

Conclusion: Higher levels of galectin-3, NT-proBNP, and CRP were associated with LVEF ≤35% in our cohort. An approach utilizing a combination of biomarkers for patient management should be assessed in further studies.     

Serum tumor markers in bile duct cancer – a review

Abstract

Context: Bile duct cancer (BDC) is a disease with a very grave prognosis, often diagnosed too late.

Objective: The aim of this review is to evaluate available literature on tumor markers in serum from patients with BDC.

Methods: Using the search words “serum markers”, “bile duct cancer”, “cholangiocarcinoma”, “biomarker” and “tumor marker”, a search was carried out.

Results: Seventy-five studies were included in the review.

Conclusion: CA19-9 is by far the most studied and most promising diagnostic and/or prognostic marker in BDC. But also the different mucins are interesting as new markers of BDC in serum.     

Blood and sputum protein biomarkers for chronic obstructive pulmonary disease (COPD)

ABSTRACT

Introduction: Chronic obstructive pulmonary disease (COPD) is a heterogeneous set of disorders, characterized by airflow limitation, and reduced lung function. Despite increasing knowledge regarding its pathophysiology, there has been limited advancement in therapeutics and the current treatment strategy is symptom management and prevention of exacerbations.

Areas covered: Biomarkers represent important tools for the implementation of precision medicine. As fundamental molecules of all living processes, proteins could provide crucial information about how genes interact with the environment. Proteomics studies could act as important tools in identifying reliable biomarkers to enable a more precise therapeutic approach. In this review, we will explore the most promising blood and sputum protein biomarkers in COPD that have been consistently reported in the literature.

Expert commentary: Given the complexity of COPD, no single protein biomarker has been able to improve the outcomes of COPD patients. According to preliminary studies, precision medicine in COPD will likely require a combination of different proteins in a biomarker panel for clinical translation. With advancements in current mass spectrometry techniques, an enhancement in the identification of new biomarkers will be observed, and improvements in sequence database search can fill in potential gaps between biomarker discovery and patient care.     

Prognostic and diagnostic value of elevated serum concentration of procalcitonin in patients with suspected heart failure. A review and meta-analysis

Purpose: The diagnostic and prognostic significance of procalcitonin remains uncertain in HF patients. We reviewed and performed a meta-analysis of studies that measured PCT in HF patients, with or without infection.

Materials and methods: We identified seven studies (9514 patients, 5810 with diagnoses of HF) eligible for our analysis, out of 247 examined. We estimated the serum PCT concentrations in patients with and without HF and/or infection and examined the mortality rates of patients with versus without elevated serum PCT concentrations.

Results: The mean age of the study samples ranged between 58 and 81?years, the men proportion between 47% and 66%, the follow-up duration between 22 and 180?days. The median PCT concentration in patients with HF and concomitant infections tended to be higher (0.26?ng/l [0.06, 0.46]) than in patients with HF alone (0.10?ng/l [0.08, 0.12]; p?=?0.059).

The mortality of patients suffering from HF and whose serum PCT concentrations were elevated was significantly higher than that of patients suffering from HF whose PCT concentrations were normal at 30 (2.66 [1.74, 4.05]), 90 (2.12 [1.59, 2.83]) and 180?days (2.06 [1.13, 3.78]).

Conclusions: In patients with HF, an elevated serum PCT concentration predicted the short-term risk of death.     

Clinical application of quantitative glycomics

ABSTRACT

Introduction: Aberrant glycosylation has been associated with many diseases. Decades of research activities have reported many reliable glycan biomarkers of different diseases which enable effective disease diagnostics and prognostics. However, none of the glycan markers have been approved for clinical diagnosis. Thus, a review of these studies is needed to guide the successful clinical translation.

Area covered: In this review, we describe and discuss advances in analytical methods enabling clinical glycan biomarker discovery, focusing only on studies of released glycans. This review also summarizes the different glycobiomarkers identified for cancers, Alzheimer’s disease, diabetes, hepatitis B and C, and other diseases.

Expert commentary: Along with the development of techniques in quantitative glycomics, more glycans or glycan patterns have been reported as better potential biomarkers of different diseases and proved to have greater diagnostic/diagnostic sensitivity and specificity than existing markers. However, to successfully apply glycan markers in clinical diagnosis, more studies and verifications on large biological cohorts need to be performed. In addition, faster and more efficient glycomic strategies need to be developed to shorten the turnaround time. Thus, glycan biomarkers have an immense chance to be used in clinical prognosis and diagnosis of many diseases in the near future.     

The potential of optimizing prehospital triage of patients with suspected acute myocardial infarction using high-sensitivity cardiac troponin T and copeptin

Purpose: In patients with a suspected acute myocardial infarction (AMI), to evaluate the potential for early triage based on measurement of high-sensitivity cardiac troponin T (hs-cTnT) and copeptin in blood samples collected in the prehospital phase.

Materials and methods: In this retrospective study, we measured hs-cTnT and copeptin in blood samples collected in the ambulance form 962 patients with suspected AMI. The diagnostic accuracy was estimated by receiver-operating characteristic (ROC) curve area under the curve (AUC) for both biomarkers and a combined model. Multivariable Cox regression modelling was used to estimate the predictive value of both biomarkers.

Results: In total, 178 (19%) cases had AMI. The AUC for hs-cTnT was 0.81. Adding copeptin increased the AUC to 0.85 (p?=?0.004) and the combined model allowed a prehospital rule-out of 45% of cases without AMI (negative predictive value, NPV 98%). Both biomarkers are highly predictive of outcome.

Conclusions: A future application of hs-cTnT and copeptin measurement, performed already in the prehospital phase, could potentially improve the prehospital diagnostic and prognostic classification of patients with a suspected AMI.