Showing papers on "Biomarker (medicine) published in 2004"

X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization

Abstract: The ability to parse tumors into subsets based on biomarker expression has many clinical applications; however, there is no global way to visualize the best cut-points for creating such divisions. We have developed a graphical method, the X-tile plot that illustrates the presence of substantial tumor subpopulations and shows the robustness of the relationship between a biomarker and outcome by construction of a two dimensional projection of every possible subpopulation. We validate X-tile plots by examining the expression of several established prognostic markers (human epidermal growth factor receptor-2, estrogen receptor, p53 expression, patient age, tumor size, and node number) in cohorts of breast cancer patients and show how X-tile plots of each marker predict population subsets rooted in the known biology of their expression.

Established and Emerging Plasma Biomarkers in the Prediction of First Atherothrombotic Events

Abstract: In the current Adult Treatment Panel guidelines for cardiovascular risk detection,1 the plasma-based markers recommended for use in global risk assessment or in the definition of the metabolic syndrome are low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides. It is widely recognized, however, that more than half of all future vascular events occur in individuals without overt hyperlipidemia. For example, in a recent large-scale analysis of >27 000 healthy American women, 77% of all future events occurred in those with LDL-C levels <4.14 mmol/L (<160 mg/dL) and 45% of all events occurred in those with LDL-C values <3.36 mmol/L (<130 mg/dL).2 Although risk-scoring systems that additionally evaluate traditional risk factors such as smoking, hypertension, and diabetes greatly improve risk prediction, multiple studies demonstrate that 20% to 25% of all future events occur in individuals with only 1 of these factors.3 Moreover, the prevalence of traditional risk factors is almost as high in those without disease as in affected individuals.4 As our understanding of the pathobiology of atherothrombosis has improved, researchers have attempted to evaluate the activities of these biological processes by measuring markers in plasma or urine (ie, biomarkers). Indeed, a series of candidate biomarkers reflecting inflammation, hemostasis, thrombosis, and oxidative stress have been evaluated as potential clinical tools in an effort to improve risk prediction. To be useful in a clinical setting, the biomarker of interest must be shown in multiple prospective studies to predict future cardiovascular events. Retrospective studies are of limited value because they are prone to bias and cannot exclude the possibility that the particular biomarker is elevated as a result of, rather than a cause of, disease. To be used widely, the proposed biomarker should provide independent information on risk or prognosis beyond that available from global assessment algorithms such …

Noninvasive diagnosis of liver cirrhosis using DNA sequencer-based total serum protein glycomics

Abstract: We applied our 'clinical glycomics' technology, based on DNA sequencer/fragment analyzers, to generate profiles of serum protein N-glycans of liver disease patients. This technology yielded a biomarker that distinguished compensated cirrhotic from noncirrhotic chronic liver disease patients, with 79% sensitivity and 86% specificity (100% sensitivity and specificity for decompensated cirrhosis). In combination with the clinical chemistry-based Fibrotest biomarker, compensated cirrhosis was detected with 100% specificity and 75% sensitivity. The current 'gold standard' for liver cirrhosis detection is an invasive, costly, often painful liver biopsy. Consequently, the highly specific set of biomarkers presented could obviate biopsy in many cirrhosis patients. This biomarker combination could eventually be used in follow-up examinations of chronic liver disease patients, to yield a warning that cirrhosis has developed and that the risk of complications (such as hepatocellular carcinoma) has increased considerably. Our clinical glycomics technique can easily be implemented in existing molecular diagnostics laboratories.

Identification of a Gene Expression Signature Associated with Recurrent Disease in Squamous Cell Carcinoma of the Head and Neck

Abstract: Molecular studies of squamous cell carcinoma of the head and neck (HNSCC) have demonstrated multiple genetic abnormalities such as activation of various oncogenes (Ras, Myc, epidermal growth factor receptor, and cyclin D1), tumor suppressor gene inactivation (TP53 and p16), and loss of heterozygosity at numerous chromosomal locations. Despite these observations, accurate and reliable biomarkers that predict patients at highest risk for local recurrence have yet to be defined. In an effort to identify gene expression signatures that may serve as biomarkers, we studied 41 squamous cell carcinoma tumors (25 primary and 16 locally recurrent) from various anatomical sites and 13 normal oral mucosal biopsy samples from healthy volunteers with microarray analysis using Affymetrix U133A GeneChip arrays. Differentially expressed genes were identified by calculating generalized t tests (P < 0.001) and applying a series of filtering criteria to yield a highly discriminant list of 2890 genes. Hierarchical clustering and image generation using standard software were used to visualize gene expression signatures. Several gene expression signatures were readily identifiable in the HNSCC tumors, including signatures associated with proliferation, extracellular matrix production, cytokine/chemokine expression, and immune response. Of particular interest was the association of a gene expression signature enriched for genes involved in tumor invasion and metastasis with patients experiencing locally recurrent disease. Notably, these tumors also demonstrated a marked absence of an immune response signature suggesting that modulation of tumor-specific immune responses may play a role in local treatment failure. These data provide evidence for a new gene expression-based biomarker of local treatment failure in HNSCC.

Increased lipid peroxidation in sera of ALS patients: a potential biomarker of disease burden.

Abstract: Background: Markers of oxidative stress and immune activation are significantly elevated in postmortem ALS CNS tissue, although the relevance to pathogenesis is unclear. Objective: To determine the degree and distribution of oxidative stress and immune activation in living ALS patients and whether these levels correlate with the rate of progression or extent of disease. Method: Serum and CSF samples from sporadic ALS (sALS) patients were assayed for 4-hydroxy-2,3-nonenal (HNE), a lipid peroxidation product, and monocyte chemoattractant protein-1α (MCP-1α), a β-chemokine, by high-performance liquid chromatography and ELISA and compared with levels measured in disease and normal control subjects by one-way analysis of variance. SALS serum levels were analyzed in relation to rate of progression, stage of disease, and drug therapy. Results: HNE levels were significantly elevated in the sera and spinal fluid of sALS patients compared with control populations and positively correlated with extent of disease but not rate of progression. MCP-1α levels were also elevated in the sera of sALS patients, with the exception of the neurodegenerative disease control subjects, but decreased with advancing disease. CSF MCP-1α levels were not different between the sampled populations. There was no correlation between serum HNE and MCP-1α levels in sALS patients and extent of disease. However, an inverse relationship between HNE and MCP-1α was demonstrable in vitro. Low levels of HNE stimulated release of MCP-1α from cultured human macrophages, whereas high levels inhibited release of MCP-1α. Conclusions: These data confirm the presence of increased oxidative stress and immune activation in ALS patients. HNE is also suggested as a possible biomarker of disease.

Biomarkers of Alzheimer disease in plasma

Abstract: Plasma and serum biochemical markers proposed for Alzheimer disease (AD) are based on pathophysiologic processes such as amyloid plaque formation [amyloid β-protein (Aβ), Aβ autoantibodies, platelet amyloid precursor protein (APP) isoforms], inflammation (cytokines), oxidative stress (vitamin E, isoprostanes), lipid metabolism (apolipoprotein E, 24S-hydroxycholesterol), and vascular disease [homocysteine, lipoprotein (a)]. Most proteins or metabolites evaluated in plasma or serum thus far are, at best, biological correlates of AD: levels are statistically different in AD versus controls in some cohorts, but they lack sensitivity or specificity for diagnosis or for tracking response to therapy. Approaches combining panels of existing biomarkers or surveying the range of proteins in plasma (proteomics) show promise for discovering biomarker profiles that are characteristic of AD, yet distinct from nondemented patients or patients with other forms of dementia.

High intraindividual variation of B-type natriuretic peptide (BNP) and amino-terminal proBNP in patients with stable chronic heart failure

Abstract: Background: Plasma B-type natriuretic peptide (BNP) and N-terminal proBNP (NT-proBNP) are promising markers for heart failure diagnosis, prognosis, and treatment. Insufficient data on the intraindividual biological variation (CVi) of BNP and NT-proBNP hamper interpretation of changes in concentration on disease progression or treatment optimization. We therefore investigated CVi values in stable heart failure patients.

Multi-biomarker risk stratification of N-terminal pro-B-type natriuretic peptide, high-sensitivity C-reactive protein, and cardiac troponin T and I in end-stage renal disease for all-cause death

Abstract: Background: In patients with end-stage renal disease (ESRD), the ability of single and multiple biomarker monitoring to predict adverse outcomes has not been well established. This study determined the prognostic value of multiple biomarkers for all-cause death over 2 years in 399 ESRD patients. Methods: The risk of all-cause death was determined by use of multiple biomarkers based on concentrations for a reference population (normal) and cutoffs based on tertile distributions in the ESRD group. Biomarkers studied included N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity C-reactive protein (hsCRP; Dade Behring and Roche assays), and cardiac troponin T (cTnT; Roche) and I (cTnI; Dade Behring and Beckman Coulter assays). Relative risks of death were estimated and survival curves computed. Results: A total of 101 deaths occurred during 594 patient-years of follow-up. Increased NT-proBNP concentrations were not predictive of death on the basis of the normal cutoffs. However, tertile analysis of NT-proBNP was significantly predictive of death and had a ROC area under the curve equivalent to or better than any of the other biomarkers. Biomarkers independently predictive of survival were hsCRP ( P P P Conclusions: Although mechanisms likely vary for causation, increased plasma hsCRP, cTnT, and cTnI above the cutoffs for our reference (normal) population were all independently predictive of subsequent death in ESRD patients. Tertile analysis for NT-proBNP also demonstrated prognostic value.

High levels of phosphorylated form of Akt-1 in prostate cancer and non-neoplastic prostate tissues are strong predictors of biochemical recurrence.

Abstract: Akt is a serine-threonine-kinase that phosphorylates proteins in several pathways regulating aspects of metabolism, apoptosis, and proliferation. Akt signaling promotes proliferation and increased cell survival and is thought to play an important role in prostate cancer progression. Tissue microarrays (640 patients) with triplicate cores of non-neoplastic prostate, BPH, and index tumor were immunostained with antibody to Phospho-Akt (Ser473), digitized, and quantified. The expression index (Intensity*Percentage) was used for statistical analysis. P-Akt-1 staining was found in both the non-neoplastic and cancer tissues, predominantly in cytoplasmic locations. High level P-Akt-1 is expressed almost exclusively in cancer. By Kaplan-Meier actuarial model, high expression of P-Akt-1 in prostate cancer was predictive of a higher probability of recurrence on univariate and multivariate analysis. Akt-1 expression was an independent prognostic indicator of biochemical recurrence-free survival when Gleason 6 and 7 patients were analyzed separately. Surprisingly, a high level of P-Akt-1 expression in non-neoplastic tissues is also an independent predictor of biochemical recurrence. This suggests that some patients might have an inherent predisposition to express a high level of P-Akt-1 and, therefore, to have an adverse prognosis. We conclude that P-Akt-1 is most likely involved in the progression of prostate cancer and is an excellent biomarker for biochemical recurrence.

Core biological marker candidates of Alzheimer’s disease – perspectives for diagnosis, prediction of outcome and reflection of biological activity

Abstract: Alzheimer's disease (AD) is a complex neurodegenerative dementing illness. Over the past few years, however, remarkable advances have taken place in understanding both the genetic and molecular biology with the intracellular processing of amyloid and tau and the changes leading to the pathologic formation of extracellular amyloid plaques and the intraneuronal aggregation of hyperphosphorylated tau into neurofibrillary tangles. This progress in our understanding of the molecular pathology has set the stage for clinically meaningful advances in the development of biomarkers. Emerging diagnostic methods that are based on biochemical and imaging biomarkers of disease specific pathology hold the potential to provide effective measures of natural history (marker of disease that is predictive of outcome), biological activity (such as magnitude and frequency of response correlating with drug potency) and markers of surrogate endpoints (single or composite marker that accounts for clinical benefit of the therapy). Markers of biological activity should be also evaluated regarding their value to reflect disease progression, heterogeneity of the clinical population, for early decision making and characterization of new treatments. We focussed on the current status of core analytes which provide reasonable evidence for association with key mechanisms of pathogenesis or neurodegeneration in AD. In addition, feasibility was important, such as availability of a validated assay for the biological measure in question, with properties that included high precision and reliability of measurement, reagents and standards well described. On this basis we reviewed the body of literature that has examined CSF total tau (t-tau) and beta-amyloid 1-42 (Abeta(1-42)), phosphorylated tau (p-tau) and beta-amyloid-antibodies as diagnostic tests for AD versus clinically representative comparison groups. Measurement of t-tau and Abeta(1-42) in the CSF seems useful to discriminate early and incipient AD from age-associated memory-impairment, depression, and some secondary dementias. First studies showed that measurement of p-tau proteins significantly improves early and differential diagnosis, as well as disease prediction in subjects at risk for AD and comes closest to fulfilling proposed criteria of a biological marker for AD. However, the nature of the majority of reported findings are still preliminary and retrospective. General issues for biomarkers have to be adequately addressed, such as sensitivity of the method, frequency of assessments, stability of the method, standardization of methods and dynamic range. There is still a partial lack of comparison patient populations that must be addressed in future studies. International dementia networks have been recently established to advance the establishment of core biomarker candidates of AD as potential surrogate endpoints for clinical trials and their clinical use for predictive and diagnostic purposes.

A novel marker for traumatic brain injury: CSF αII-spectrin breakdown product levels

Abstract: Currently, there is no definitive diagnostic test for traumatic brain injury (TBI) to help physicians determine the seriousness of injury or the extent of cellular pathology. Calpain cleaves αII-sp...

Computer‐controlled, multilevel, morphometric analysis of blastomere size as biomarker of fragmentation and multinuclearity in human embryos

Abstract: BACKGROUND Little is known about blastomere size at different cleavage stages and its correlation with embryo quality in human embryos. Using a computer system for multilevel embryo morphology analysis we have analysed blastomeres of human embryos and correlated mean blastomere size with embryonic fragmentation and multinuclearity. METHODS A consecutive cohort of 232 human 2-, 3- and 4-cell embryos from patients referred for ICSI treatment were included. Sequences of digital images were taken by focusing at 5- micro m intervals through the embryo. Blastomere sizes and number of nuclear structures were evaluated based on these sequences. The degree of embryonic fragmentation was evaluated by normal morphological assessment prior to transfer and correlated to the blastomere sizes. RESULTS As a result of normal cell cleavage, mean blastomere size decreased significantly from a volume of 0.28 x 10(6) microm(3) at the 2-cell stage to 0.15 x 10(6) microm(3) at the 4-cell stage (P < 0.001). Mean blastomere size decreased significantly (P < 0.001) with increasing degree of embryonic fragmentation, where highly fragmented embryos showed a 43-67% reduction in blastomere volume compared with embryos with no fragmentation. Multinucleated blastomeres were significantly larger than non-multinucleated blastomeres (P < 0.001). On average, multinucleated blastomeres were 51.5, 67.8 and 73.1% larger than their non-multinucleated sibling blastomeres at the 2-, 3- and 4-cell stage, respectively. Furthermore, the average volume of non-multinucleated blastomeres originating from multinucleated embryos was significantly smaller than the average volume of the blastomeres from mononucleated embryos (P < 0.001). CONCLUSIONS The results of this study show that the average blastomere size is significantly affected by degree of fragmentation and multinuclearity, and that computer-assisted, multilevel analysis of blastomere size may function as a biomarker for embryo quality.

CSF B-cell expansion in opsoclonus-myoclonus syndrome: a biomarker of disease activity.

Abstract: Lack of a biomarker of disease activity has hindered the therapy of childhood opsoclonus-myoclonus syndrome (OMS), which is purported to be mediated humorally. To determine if the cerebrospinal fluid (CSF) B lymphocyte, which may traffic into the central nervous system (CNS) to produce antibody locally, is one such biomarker, B lymphocytes were immunophenotyped in the CSF and blood of 56 children with OMS and 26 pediatric controls by dual-laser flow cytometry. Neurological severity was rated blindly from videotapes using a validated 12-item motor evaluation scale. Children with OMS manifested a 4- to 7-fold higher percentage of total B-cells in CSF (P < 0.0001), including CD5(+) (P = 0.001) and CD5(-) (P = 0.0004) B-cell subsets, compared with controls, in whom the percentages were negligible and unchanging with age. CSF expansion of both B-cell subsets increased with disease severity and decreased with disease duration (P

Haptoglobin alpha-subunit and hepatocyte growth factor can potentially serve as serum tumor biomarkers in small cell lung cancer.

Abstract: Background: Small cell lung cancer (SCLC) frequently presents as metastatic disease. It would be useful to detect serum tumor biomarkers at an earlier stage in order to improve the overall survival. Materials and Methods: Serum samples from SCLC patients (6 limited disease , 7 extensive disease, 4 relapsed disease, 4 no evidence of disease post- treatment) and 5 normal controls were used to identify tumor biomarkers utilizing proteomics. Serum hepatocyte growth factor was also studied using standard ELISA. Results: Utilizing MALDI-TOF-Mass Spectrometry (MS) based protein identification techniques, a SCLC specific overexpressed protein was identified to be haptoglobin ·-subunit, with its serum level correlating with the disease stage. The mean level of ·-haptoglobin was increased in SCLC serum as compared to the normal controls. Serum HGF was also studied as potential tumor biomarker and was found to correlate with the disease status. Either serum ·-haptoglobin relative level (above 1.9 U), or HGF level (above 500 pg/ml) was associated with a trend towards worse survival. Conclusion: Our current findings suggest that serum levels of ·-haptoglobin and HGF may serve as useful serum tumor biomarkers in SCLC. It would now also be useful to determine if these serum biomarkers are altered in response to therapy for this disease. In the United States, there will be greater than 171,900 projected new cases of lung cancer in 2003. It is estimated that there will be 157,200 deaths related to lung cancer for this year (1). The most aggressive form of lung cancer is

Biomarkers in systemic lupus erythematosus

Abstract: Despite the longstanding interest and large number of publications on biomarkers in lupus, there are no validated and widely accepted biomarkers of systemic lupus erythematosus to date. To achieve the ultimate goal, to have a biomarker as a surrogate endpoint in clinical studies, candidate biomarkers have to first be validated in a statistically rigorous way. However, to qualify as a surrogate endpoint, even validated biomarkers have to go through a process that demonstrates that they accurately reflect a clinically important outcome. These goals can only be achieved in large multicenter, properly conducted studies. We reviewed the difficulties involved in developing validated biomarkers for systemic lupus erythematosus and summarized the available data on the most promising biomarker candidates of disease susceptibility and disease activity. We also report on the current status of a multicenter initiative to concentrate efforts of biomarker development.

Heart disease, clinical proteomics and mass spectrometry.

Abstract: Heart disease is the leading cause of mortality and morbidity in the world. As such, biomarkers are needed for the diagnosis, prognosis, therapeutic monitoring and risk stratification of acute injury (acute myocardial infarction (AMI)) and chronic disease (heart failure). The procedure for biomarker development involves the discovery, validation, and translation into clinical practice of a panel of candidate proteins to monitor risk of heart disease. Two types of biomarkers are possible; heart-specific and cardiovascular pulmonary system monitoring markers. Here we review the use of MS in the process of cardiac biomarker discovery and validation by proteomic analysis of cardiac myocytes/tissue or serum/plasma. An example of the use of MS in biomarker discovery is given in which the albumin binding protein sub-proteome was examined using MALDI-TOF MS/MS. Additionally, an example of MS in protein validation is given using affinity surface enhanced laser desorption ionization (SELDI) to monitor the disease-induced post-translational modification and the ternary status of myoctye-originating protein, cardiac troponin I in serum.

Gene expression profiling of human colon xenograft tumors following treatment with SU11248, a multitargeted tyrosine kinase inhibitor.

Abstract: Biomarkers that indicate biological activity and/or efficacy are a potentially useful tool in the development of molecularly targeted therapeutics. It is useful, though challenging, to identify biomarkers during preclinical development in order to impact decision-making during early clinical development. SU11248 is an oral, selective multitargeted tyrosine kinase inhibitor currently in Phase II oncology clinical trials. It exhibits direct antitumor and antiangiogenic activity via inhibition of the receptor tyrosine kinases PDGFR, VEGFR, KIT and FLT3. To identify clinically translatable biomarkers of SU11248 activity, expression profiling was performed on Colo205 human xenograft tumors following treatment with SU11248. Over 100 transcripts changed in abundance in SU11248 as compared to vehicle-treated tumors. Nine candidate transcripts, chosen based on putative function, were also analysed and validated by TaqMan. One such potential biomarker, cadherin-11, was further evaluated at the protein level and was found to have increased expression in xenograft tumors after SU11248 treatment. Interestingly, cadherin-11 expression was also detected via immunohistochemical analysis of archived solid tumors, indicating the technical feasibility of translating this putative biomarker to clinical studies. Importantly, SU11248 treatment also resulted in increased expression of cadherin-11 protein in human tumor biopsies in three out of seven patients examined and confirms the feasibility of using transcriptional profiling of preclinical models to identify clinically translatable biomarkers.

Clinical and biomarker correlates of androgen-independent, locally aggressive prostate cancer with limited metastatic potential.

Abstract: Purpose: We have identified a subset of patients exhibiting extended survival with metastases from androgenindependent prostate cancer of which the principal site of progression was the tumor primary. The purpose of this study was to evaluate the expression of selected biomarkers to characterize this subset of prostate cancer patients. Experimental Design: A 105 core tissue microarray was constructed from primary tumor samples from 16 patients, with matched lymph node metastases in 5 cases. Immunohistochemistry was used to evaluate selected biomarkers associated with prostate cancer progression. Standard statistical methodologies were used to compute the distribution of time to progression and overall survival associations between pairs of biomarkers. Hierarchical clustering was done between groups of biomarkers, and we devised new methods to assess homogeneity of biomarker expression. Results: The median interval from diagnosis to salvage surgery was 65 months. The profile of biomarker expression was notable for virtual absence of neuroendocrine features, high CD10, low matrix metalloproteinase (MMP)-9, high E-cadherin expression, and high membranous β-catenin. The mean proliferative index was 12.1 ± 10.1%, and the mean apoptotic index was 3.48 ± 2.22%, and there was a significant correlation between these indices. Expression of the epidermal growth factor receptor was associated with phospho-AKT and proliferative index but inversely associated with phospho-STAT3. Conclusions: The cohort of prostate cancer patients, characterized by locally aggressive disease rather than lethal metastatic progression, was associated with a distinctive biomarker signature. The biomarker profile was, in general, more consistent with low-grade prostate cancer exhibiting local growth rather than metastatic progression. Ongoing studies will establish whether this unique subset of patients can be identified prospectively.

Amyloid-beta and tau proteins as biochemical markers of Alzheimer's disease

Abstract: With the development of new therapeutic strategies, and the concept of mild cognitive impairment (MCI) as an early stage of Alzheimer's disease (AD), there is an increasing need for an early and accurate diagnosis of sporadic AD. Therefore, biological markers allowing a positive diagnosis early in the course of the disease are highly desirable. The most extensively evaluated markers of sporadic AD are amyloid-beta proteins and levels of both total and phosphorylated microtubule-associated protein tau. In this study, we review the currently available data on the aforementioned markers assessed in the cerebrospinal fluid or plasma, alone and in combinations, focusing on their clinical applicability including sensitivity in the diagnosis of AD and mild cognitive impairment, specificity in discriminating AD from other dementias and correlations with the disease progression and apolipoprotein E genotype. We also analyze advantages and potential drawbacks of using biomarkers in the laboratory diagnosis of AD.

Magnetic resonance and PET studies in the early diagnosis of Alzheimer’s disease

Abstract: The demographics of aging identify an immediate need for the early diagnosis and development of dementia prevention strategies. Recent neuropathological studies have pointed to the early involvement of the hippocampus and entorhinal cortex in the progression of Alzheimer's disease in the brain. In particular, these studies have implicated tau-related pathology as an important cause of neuronal death. In addition, there is a large body of evidence showing that beta-amyloid, which has a predilection for the neocortex, is also involved early in the course of the disease and may also have toxic effects on cells. In vivo cerebrospinal fluid studies have shown that markers for these brain changes have a diagnostic value for Alzheimer's disease and that some measures also provide diagnostic specificity for Alzheimer's disease. Structural and metabolic imaging studies demonstrate brain changes in impaired and at-risk individuals. While currently available magnetic resonance and positron emission tomography techniques are not by themselves specific for the pathologic features of Alzheimer's disease, there are patterns of change that have been useful for the early diagnosis. As such, both prediction and longitudinal imaging studies demonstrate a capacity to recognize abnormalities that relate to future Alzheimer's disease and most recently to future mild cognitive impairment. This review highlights cross-sectional, prediction, and longitudinal magnetic resonance and positron emission tomography imaging studies and attempts to put into perspective their utility for the early diagnosis of Alzheimer's disease, and for their utility to provide diagnostic specificity. It is concluded that there is considerable promise for an early and specific diagnosis for Alzheimer's disease by combining information from imaging and biomarker modalities.

Biomarker detection in circulating cells

Abstract: A method is provided for detecting biomarkers in rare circulating cells by forming an enriched population of cells immunomagnetically followed by biomarker detection using binding compounds having releasable molecular tags. Preferably, biomarkers comprising one or more protein-protein complexes are detected in circulating cancer cells metastasized from a solid tumor. In the presence of biomarkers, the molecular tags of the binding compounds are released and separated from the assay mixture for detection and/or quantification.

Detection of acute myocardial infarction biomarkers

Abstract: The present invention relates to medical devices and methods for early detection of acute myocardial infarction in a patient. In particular, the invention relates to a device and method for detecting the presence of biomarker analytes in a specimen which are indicative of a potential acute myocardial infarction in the patient.