SLAS TECHNOLOGY: Translating Life Sciences Innovation

The hepatitis C virus (HCV) infects more than 200 million people globally, with increasing incidence, especially in developing countries. HCV infection frequently progresses to chronic liver disease, creating a heavy economic burden on resource-poor countries and lowering patient quality of life. Effective HCV diagnosis, treatment selection, and treatment monitoring are important in stopping disease progression. Serological assays, which detect anti-HCV antibodies in the patient after seroconversion, are used for initial HCV diagnosis. Qualitative and quantitative molecular assays are used to confirm initial diagnosis, determine viral load, and genotype the dominant strain. Viral load and genotype information are used to guide appropriate treatment. Various other biomarker assays are performed to assess liver function and enable disease staging. Most of these diagnostic methods are mature and routinely used in high-resource countries with well-developed laboratory infrastructure. Few technologies, however, are available that address the needs of low-resource areas with high HCV prevalence, such as Africa and Southeast Asia.

Sepsis is a rapidly progressing, severe inflammatory response to infection, causing more than 200 000 deaths per year. Rapid, specific pathogen identification is important to guide sepsis treatment. In this review, we describe and compare currently available commercial products for sepsis diagnosis and pathogen identification, based on microbiological, molecular, and mass spectrometric technologies. Microbiological techniques, the current “gold standard” in sepsis pathogen identification, include blood culture followed by subculturing and pathogen identification via biochemical or microscopic means. These methods have been automated but nevertheless require several days to generate results. Alternative technologies, including highly multiplexed PCR-based methods and mass spectrometric approaches, can decrease the required turnaround time. Matrix-assisted laser-desorption ionization time-of-flight–based systems have recently become an attractive option to rapidly identify a broad spectrum of sepsis pathogens with good sensitivity and specificity. Effectively integrating rapid sepsis pathogen identification into the hospital workflow can improve patient outcomes and can reduce the length of hospitalization and cost per patient.

This article is a review of current and emerging methods used for prenatal detection of chromosomal aneuploidies. Chromosomal anomalies in the developing fetus can occur in any pregnancy and lead to death prior to or shortly after birth or to costly lifelong disabilities. Early detection of fetal chromosomal aneuploidies, an atypical number of certain chromosomes, can help parents evaluate their pregnancy options. Current diagnostic methods include maternal serum sampling or nuchal translucency testing, which are minimally invasive diagnostics, but lack sensitivity and specificity. The gold standard, karyotyping, requires amniocentesis or chorionic villus sampling, which are highly invasive and can cause abortions. In addition, many of these methods have long turnaround times, which can cause anxiety in mothers. Next-generation sequencing of fetal DNA in maternal blood enables minimally invasive, sensitive, and reasonably rapid analysis of fetal chromosomal anomalies and can be of clinical utility to parents. This review covers traditional methods and next-generation sequencing techniques for diagnosing aneuploidies in terms of clinical utility, technological characteristics, and market potential.

This report describes technologies to identify and quantify microRNAs (miRNAs) as potential cancer biomarkers, using breast cancer as an example. Most breast cancer patients are not diagnosed until the disease has advanced to later stages, which decreases overall survival rates. Specific miRNAs are up- or downregulated in breast cancer patients at various stages, can be detected in plasma and serum, and have shown promising preliminary clinical sensitivity and specificity for early cancer diagnosis or staging. Nucleic acid testing methods to determine relative concentrations of selected miRNAs include reverse transcription, followed by quantitative PCR (RT-qPCR), microarrays, and next-generation sequencing (NGS). Of these methods, NGS is the most powerful approach for miRNA biomarker discovery, whereas RT-qPCR shows the most promise for eventual clinical diagnostic applications.

Alzheimer’s disease (AD) is a neurodegenerative disease that inhibits cognitive functions and has no cure. This report reviews the current diagnostic standards for AD with an emphasis on early diagnosis using the cerebrospinal fluid (CSF) biomarkers amyloid-beta, t-tau, and p-tau and fluorodeoxyglucose positron emission tomography imaging. Abnormal levels of these CSF biomarkers and decreased cerebral uptake of glucose have recently been used in the early diagnosis of AD in experimental studies. These promising biomarkers can be measured using immunoassays performed in singleplex or multiplex formats. Although presently, there are no Food and Drug Administration–approved in vitro diagnostics (IVDs) for early detection of AD, a multiplex immunoassay measuring a panel of promising AD biomarkers in CSF may be a likely IVD candidate for the clinical AD diagnostic market. Specifically, the INNO-BIA AlzBio3 immunoassay kit, performed using bead arrays on the xMAP Luminex analyzer, allows simultaneous quantification of amyloid-beta, t-tau, and p-tau biomarkers. AD biomarkers can also be screened using enzyme-linked immunosorbent assays that are offered as laboratory-developed tests.