Kate Reddington

Rapid nucleic acid diagnostics for the detection of antimicrobial resistance in Gram-negative bacteria: is it time for a paradigm shift?

A key component for tackling the ever more serious antimicrobial resistance problem in Gram-negative bacteria is the introduction of rapid nucleic acid diagnostics. Successful incorporation of new diagnostic technologies has the potential benefit of improving not only patient treatment but also infection control and antimicrobial stewardship. However, there are still many hurdles to overcome, such as the complexity of resistance mechanisms in Gram-negative bacteria, the discrepancy between phenotype and genotype and the difficulty in distinguishing pathogens from background commensals. A small number of manufacturers have introduced tests to the market that concentrate partly or specifically on resistance determinants in Gram-negative bacteria. These are currently predominantly based on different types of PCR technology. The development of new technologies, such as whole-genome sequencing and the combination of MALDI-TOF with PCR, holds much promise for the introduction of improved diagnostics for the future.

A current overview of commercially available nucleic acid diagnostics approaches to detect and identify human gastroenteritis pathogens

Purpose of review Gastroenteritis is caused by a wide range of viral, bacterial and parasitic pathogens and causes millions of deaths worldwide each year, particularly in infant populations in developing countries. Traditional microbiological culture and immunological based tests are time consuming, laborious and often lack diagnostic specificity and sensitivity. As a result patients can receive suboptimal and/or inappropriate antimicrobial treatment. In recent years, rapid nucleic acid diagnostics (NAD) technologies have become available to complement or even bypass and replace these traditional microbiological culture and immunological based tests. The main purpose of this review is to describe a number of recently available multiparametric commercial tests, to support the rapid and accurate clinical diagnosis of human gastroenteritis. These state of the art technologies have the ability to identify a wide range of microorganisms associated with enteric gastroenteritis. Following further technological innovation and more comprehensive clinical validation studies, these NAD tests have the potential to impact on the economic burden of health care systems. These rapid NAD tests can also be used to guide improved patient therapy in a timely manner which will reduce the extent of morbidity and mortality associated with these infections globally.

A Novel Multiplex Real-Time PCR for the Identification of Mycobacteria Associated with Zoonotic Tuberculosis

Background Tuberculosis (TB) is the leading cause of death worldwide from a single infectious agent. An ability to detect the Mycobacterium tuberculosis complex (MTC) in clinical material while simultaneously differentiating its members is considered important. This allows for the gathering of epidemiological information pertaining to the prevalence, transmission and geographical distribution of the MTC, including those MTC members associated with zoonotic TB infection in humans. Also differentiating between members of the MTC provides the clinician with inherent MTC specific drug susceptibility profiles to guide appropriate chemotherapy. Methodology/Principal Findings The aim of this study was to develop a multiplex real-time PCR assay using novel molecular targets to identify and differentiate between the phylogenetically closely related M. bovis, M. bovis BCG and M. caprae. The lpqT gene was explored for the collective identification of M. bovis, M. bovis BCG and M. caprae, the lepA gene was targeted for the specific identification of M. caprae and a Region of Difference 1 (RD1) assay was incorporated in the test to differentiate M. bovis BCG. The multiplex real-time PCR assay was evaluated on 133 bacterial strains and was determined to be 100% specific for the members of the MTC targeted. Conclusions/Significance The multiplex real-time PCR assay developed in this study is the first assay described for the identification and simultaneous differentiation of M. bovis, M. bovis BCG and M. caprae in one internally controlled reaction. Future validation of this multiplex assay should demonstrate its potential in the rapid and accurate diagnosis of TB caused by these three mycobacteria. Furthermore, the developed assay may be used in conjunction with a recently described multiplex real-time PCR assay for identification of the MTC and simultaneous differentiation of M. tuberculosis, M. canettii resulting in an ability to differentiate five of the eight members of the MTC.

Novel Multiplex Real-Time PCR Diagnostic Assay for Identification and Differentiation of Mycobacterium tuberculosis, Mycobacterium canettii, and Mycobacterium tuberculosis Complex Strains

ABSTRACT Tuberculosis (TB) in humans is caused by members of the Mycobacterium tuberculosis complex (MTC). Rapid detection of the MTC is necessary for the timely initiation of antibiotic treatment, while differentiation between members of the complex may be important to guide the appropriate antibiotic treatment and provide epidemiological information. In this study, a multiplex real-time PCR diagnostics assay using novel molecular targets was designed to identify the MTC while simultaneously differentiating between M. tuberculosis and M. canettii. The lepA gene was targeted for the detection of members of the MTC, the wbbl1 gene was used for the differentiation of M. tuberculosis and M. canettii from the remainder of the complex, and a unique region of the M. canettii genome, a possible novel region of difference (RD), was targeted for the specific identification of M. canettii. The multiplex real-time PCR assay was tested using 125 bacterial strains (64 MTC isolates, 44 nontuberculosis mycobacteria [NTM], and 17 other bacteria). The assay was determined to be 100% specific for the mycobacteria tested. Limits of detection of 2.2, 2.17, and 0.73 cell equivalents were determined for M. tuberculosis/M. canettii, the MTC, and M. canettii, respectively, using probit regression analysis. Further validation of this diagnostics assay, using clinical samples, should demonstrate its potential for the rapid, accurate, and sensitive diagnosis of TB caused by M. tuberculosis, M. canettii, and the other members of the MTC.

Advances in Multiparametric Molecular Diagnostics Technologies for Respiratory Tract Infections.

Purpose of review Respiratory tract infections (RTIs) are caused by a variety of bacterial, viral, fungal, and other pathogens and cause millions of deaths each year. Current standard microbiological culture-based tests are laborious and time consuming. Thus, patients are initially treated empirically, leading to inappropriate use of antibiotics. The purpose of this article is to provide clinicians and scientists with a review of recently available commercial multiparametric molecular diagnostics tests for the detection of RTIs so that they can be considered for use instead of, or in combination with, traditional culture techniques. Recent findings Several technologies have become commercially available for the multiparametric molecular detection of RTIs in the past decade including tests based on PCR–array, PCR–mass spectrometry, and multiplex qPCR technologies. The majority of these tests are for the detection of viruses, but more recently companies have begun to focus on detection of viruses, bacteria, and associated drug resistances in a single product to maximize the information provided to the clinician by a single test. Summary We describe the recent advances in commercial multiparametric molecular diagnostics technologies for the diagnosis of RTIs. Combining the specific and sensitive molecular detection of bacteria, viruses, fungi, and drug resistances is key if molecular methods are to replace traditional culture. The reliability of the molecular drug-resistance markers chosen, the need for the quantitative detection of some organisms, and throughput are also important considerations for new technology developers.

SeekTB, a Two-Stage Multiplex Real-Time-PCR-Based Method for Differentiation of the Mycobacterium tuberculosis Complex

ABSTRACT Tuberculosis (TB) in humans is caused by members of the Mycobacterium tuberculosis complex (MTC). The accurate identification of the MTC member causing human infection is important because the treatment of TB caused by some MTC members requires an alteration of the standard drug regimen, it can inform whether transmission is human to human or zoonotic, and it enables accurate epidemiology studies that help improve TB control. In this study, an internally controlled two-stage multiplex real-time PCR-based method, SeekTB, was developed for the accurate identification of all members of the MTC. The method was tested against a panel of well-characterized bacterial strains (n = 180) and determined to be 100% specific for members of the MTC. Additionally, 125 Mycobacteria Growth Indicator Tube (MGIT)-positive cultures were blindly tested by using SeekTB, and the results were compared to those of the GenoType MTBC and TBc ID tests. The SeekTB and GenoType MTBC results were 100% concordant, identifying 84 of these isolates as M. tuberculosis isolates and 41 as non-MTC isolates. Nine discordant results between the molecular methods and the TBc ID culture confirmation test were observed; however, nucleotide sequencing confirmed the results obtained with GenoType MTBC and SeekTB. SeekTB is the first-described internally controlled multiplex real-time PCR diagnostic method for the accurate identification of all eight members of the MTC. This method, designed for use on cultured patient samples, is specific, sensitive, and rapid, with a turnaround time to results of approximately 1.5 to 3.5 h, depending on which, if any, member of the MTC is present.

The use of digital PCR to improve the application of quantitative molecular diagnostic methods for tuberculosis

BackgroundReal-time PCR (qPCR) based methods, such as the Xpert MTB/RIF, are increasingly being used to diagnose tuberculosis (TB). While qualitative methods are adequate for diagnosis, the therapeutic monitoring of TB patients requires quantitative methods currently performed using smear microscopy. The potential use of quantitative molecular measurements for therapeutic monitoring has been investigated but findings have been variable and inconclusive. The lack of an adequate reference method and reference materials is a barrier to understanding the source of such disagreement. Digital PCR (dPCR) offers the potential for an accurate method for quantification of specific DNA sequences in reference materials which can be used to evaluate quantitative molecular methods for TB treatment monitoring.MethodsTo assess a novel approach for the development of quality assurance materials we used dPCR to quantify specific DNA sequences in a range of prototype reference materials and evaluated accuracy between different laboratories and instruments. The materials were then also used to evaluate the quantitative performance of qPCR and Xpert MTB/RIF in eight clinical testing laboratories.ResultsdPCR was found to provide results in good agreement with the other methods tested and to be highly reproducible between laboratories without calibration even when using different instruments. When the reference materials were analysed with qPCR and Xpert MTB/RIF by clinical laboratories, all laboratories were able to correctly rank the reference materials according to concentration, however there was a marked difference in the measured magnitude.ConclusionsTB is a disease where the quantification of the pathogen could lead to better patient management and qPCR methods offer the potential to rapidly perform such analysis. However, our findings suggest that when precisely characterised materials are used to evaluate qPCR methods, the measurement result variation is too high to determine whether molecular quantification of Mycobacterium tuberculosis would provide a clinically useful readout. The methods described in this study provide a means by which the technical performance of quantitative molecular methods can be evaluated independently of clinical variability to improve accuracy of measurement results. These will assist in ultimately increasing the likelihood that such approaches could be used to improve patient management of TB.

Culture confirmation of Listeria monocytogenes using tmRNA as a diagnostics target.

16s ribosomal RNA (rRNA) is routinely used to identify bacteria in direct detection culture confirmation assays. In some instances rRNA cannot be used as a target to distinguish between phylogenetically closely related bacteria. Here we evaluate an alternative target, transfer messenger RNA (tmRNA), for the culture confirmation of Listeria monocytogenes.

Cross Platform Standardisation of an Experimental Pipeline for Use in the Identification of Dysregulated Human Circulating MiRNAs.

Introduction Micro RNAs (miRNAs) are a class of highly conserved small non-coding RNAs that play an important part in the post-transcriptional regulation of gene expression. A substantial number of miRNAs have been proposed as biomarkers for diseases. While reverse transcriptase Real-time PCR (RT-qPCR) is considered the gold standard for the evaluation and validation of miRNA biomarkers, small RNA sequencing is now routinely being adopted for the identification of dysregulated miRNAs. However, in many cases where putative miRNA biomarkers are identified using small RNA sequencing, they are not substantiated when RT-qPCR is used for validation. To date, there is a lack of consensus regarding optimal methodologies for miRNA detection, quantification and standardisation when different platform technologies are used. Materials and Methods In this study we present an experimental pipeline that takes into consideration sample collection, processing, enrichment, and the subsequent comparative analysis of circulating small ribonucleic acids using small RNA sequencing and RT-qPCR. Results, Discussion, Conclusions Initially, a panel of miRNAs dysregulated in circulating blood from breast cancer patients compared to healthy women were identified using small RNA sequencing. MiR-320a was identified as the most dysregulated miRNA between the two female cohorts. Total RNA and enriched small RNA populations (<30 bp) isolated from peripheral blood from the same female cohort samples were then tested for using a miR-320a RT-qPCR assay. When total RNA was analysed with this miR-320a RT-qPCR assay, a 2.3-fold decrease in expression levels was observed between blood samples from healthy controls and breast cancer patients. However, upon enrichment for the small RNA population and subsequent analysis of miR-320a using RT-qPCR, its dysregulation in breast cancer patients was more pronounced with an 8.89-fold decrease in miR-320a expression. We propose that the experimental pipeline outlined could serve as a robust approach for the identification and validation of small RNA biomarkers for disease.

Comparative genome analysis identifies novel nucleic acid diagnostic targets for use in the specific detection of Haemophilus influenzae

Haemophilus influenzae is recognised as an important human pathogen associated with invasive infections, including bloodstream infection and meningitis. Currently used molecular-based diagnostic assays lack specificity in correctly detecting and identifying H. influenzae. As such, there is a need to develop novel diagnostic assays for the specific identification of H. influenzae. Whole genome comparative analysis was performed to identify putative diagnostic targets, which are unique in nucleotide sequence to H. influenzae. From this analysis, we identified 2H. influenzae putative diagnostic targets, phoB and pstA, for use in real-time PCR diagnostic assays. Real-time PCR diagnostic assays using these targets were designed and optimised to specifically detect and identify all 55H. influenzae strains tested. These novel rapid assays can be applied to the specific detection and identification of H. influenzae for use in epidemiological studies and could also enable improved monitoring of invasive disease caused by these bacteria.