aim : in the current study, we aimed at identifying independent laboratory parameter to predict liver damage. background : although liver biopsy is frequently recommended in assessing disease severity and selecting antiviral treatment candidates, it has several limitations. patients and methods : a total of 527 patients with untreated chronic hepatitis b virus infection were selected. a percuta...

Much of precision medicine research today seeks to find a biomarker, or like King Richard, our kingdom might be lost. The hope is that if one is successful in identifying such a biomarker [1], all will be resolved: diagnosis, prognosis and the best treatment regime identified from the morass of treatment options available. In this context, the research for a single, do-all biomarker is a truly ...

The food frequency questionnaire approach to dietary assessment is ubiquitous in nutritional epidemiology research. Food records and recalls provide approaches that may also be adaptable for use in large epidemiologic cohorts, if warranted by better measurement properties. The authors collected (2007-2009) a 4-day food record, three 24-hour dietary recalls, and a food frequency questionnaire fr...

BACKGROUND Mortality among patients with heart failure is high. Though individual biomarkers have been investigated to determine their value in mortality risk prediction, the role of a multimarker strategy requires further evaluation. METHODS AND RESULTS Olmsted County residents presenting with heart failure from July 2004 to September 2007 were recruited to undergo biomarker measurement. We ...

OBJECTIVE The aims of this study were to detect serum proteomic patterns in gastric cancer serum samples using Surface-enhanced Laser Desorption/ionization-Time-of-flight-Mass Spectrometry ProteinChip array technology, to screen biomarker candidates, to build diagnostic models and to evaluate their clinical significance. METHODS Serum samples from patients with gastric cancer and normal healt...

Strategies for biomarker discovery increasingly focus on biofluid protein and peptide expression patterns. Post-translational modifications contribute significantly to the pattern complexity and thereby increase the likelihood of obtaining specific biomarkers for diagnostics and disease monitoring. Glycosylation is a common post-translational modification that plays a role e.g. in cell adhesion...

Over the last decade, biomarker research has identified potential biomarkers for the diagnosis, prognosis, and management of traumatic brain injury (TBI). Several cerebrospinal fluid (CSF) and serum biomarkers have shown promise in predicting long-term outcome after severe TBI. Despite this increased focus on identifying biomarkers for outcome prognostication after a severe TBI, several challen...

Single-molecule detection and counting is the new frontier in biomarker analysis. Here, we report on recent techniques for the digital detection of biomolecules for clinical application. First we highlight methods based on the immunocapture of proteins onto microparticles, followed by isolation of individual particles in microenvironments so that a sufficient signal is acquired for each binding...

How can we encourage the application of novel genomic biomarkers in drug development? A major step in this direction would be a consensus on how to interpret results from measurements of these biomarkers in regulatory submissions. A transparent process for genomic biomarker validation would be of value both for the pharmaceutical industry as well as for regulatory agencies associated with it. A...

OBJECTIVES To test the hypothesis that an exploratory proteomics analysis of urine proteins with subsequent development of validated urine biomarker panels would produce molecular classifiers for both the diagnosis and prognosis of infants with necrotizing enterocolitis (NEC). STUDY DESIGN Urine samples were collected from 119 premature infants (85 NEC, 17 sepsis, 17 control) at the time of i...