Recent advances in diagnostic microbiology

Pathology of infectious diseases: what does the future hold?

The demand for expertise in pathology for the diagnosis of infectious diseases (ID) is continually growing, due to an increase in ID in immunocompromised patients and in the (re)-emergence of common and uncommon diseases, including tropical infections and infections with newly identified microbes. The microbiology laboratory plays a crucial role in diagnosing infections, identifying the responsible infectious agents and establishing sensitivity of pathogens to drug therapy. Pathology, however, is the only way to correlate the presence of an infectious agent with the reaction it evokes at cell and tissue level. For pathologists working in the field of ID pathology, it is essential to dispose of competence in cell and tissue pathology as well as in microbiology. Expertise in ID includes understanding of taxonomy and classification of pathogens as well as morphological criteria supporting their identification. Moreover, ID pathologists must master the methods used to detect pathogens in fixed cell and tissue samples, notably immunohistochemistry, in situ hybridization and the polymerase chain reaction. Paradoxically, the increasing frequency of lesions caused by pathogens and diagnosed in a pathology laboratory appears to be paralleled by a gradual loss of expertise of pathologists in the field of infectious and tropical diseases. We contend that this may be due at least in part to the continuously increasing number of samples of tumor tissue pathologists deal with and the rapidly expanding number of tissue based biomarkers with predictive value for new anti-cancer therapies. In this review, we highlight current and future issues pertaining to ID pathology, in order to increase awareness of its importance for surgical and molecular pathology. The intention is to contribute to the development of best practice in ID pathology.

Construction of a virtual Mycobacterium tuberculosis consensus genome and its application to data from a next generation sequencer

BACKGROUND

Although Mycobacterium tuberculosis isolates are consisted of several different lineages and the epidemiology analyses are usually assessed relative to a particular reference genome, M. tuberculosis H37Rv, which might introduce some biased results. Those analyses are essentially based genome sequence information of M. tuberculosis and could be performed in sillico in theory, with whole genome sequence (WGS) data available in the databases and obtained by next generation sequencers (NGSs). As an approach to establish higher resolution methods for such analyses, whole genome sequences of the M. tuberculosis complexes (MTBCs) strains available on databases were aligned to construct virtual reference genome sequences called the consensus sequence (CS), and evaluated its feasibility in in sillico epidemiological analyses.

RESULTS

The consensus sequence (CS) was successfully constructed and utilized to perform phylogenetic analysis, evaluation of read mapping efficacy, which is crucial for detecting single nucleotide polymorphisms (SNPs), and various MTBC typing methods virtually including spoligotyping, VNTR, Long sequence polymorphism and Beijing typing. SNPs detected based on CS, in comparison with H37Rv, were utilized in concatemer-based phylogenetic analysis to determine their reliability relative to a phylogenetic tree based on whole genome alignment as the gold standard. Statistical comparison of phylogenic trees based on CS with that of H37Rv indicated the former showed always better results that that of later. SNP detection and concatenation with CS was advantageous because the frequency of crucial SNPs distinguishing among strain lineages was higher than those of H37Rv. The number of SNPs detected was lower with the consensus than with the H37Rv sequence, resulting in a significant reduction in computational time. Performance of each virtual typing was satisfactory and accorded with those published when those are available.

CONCLUSIONS

These results indicated that virtual CS constructed from genome sequence data is an ideal approach as a reference for MTBC studies.

[What place and what future for the pathology of infectious and tropical diseases in France?]

The management of tissues and cellular samples by the pathologists in the infectious and tropical diseases pathology field in 2014 needs a strong knowledge of both morphological and molecular domains which includes the good control: (i) of the taxonomy of infectious and tropical diseases pathology leading to the pathogens identification and (ii) of the ancillary methods which can be used in fixed samples in order to detect or better identify these pathogens. There is a recent paradox in France concerning the frequency of infectious diseases to be diagnosed in pathology laboratories and the progressive loss of pathologist's expertise in this domain. Different reasons could explain this statement including the omnipresence of the tumour lesions to be managed in a pathology laboratory as well as the recent constraints associated with the different biomarkers that are mandatory to be detected by immunohistochemistry and/or by molecular biology. Even if the microbiologists play a pivotal role for identifying the different pathogens as well as for the assessment of their sensitivity to the anti-microbial drugs, a large number of infectious diseases can be diagnosed only on fixed tissue and/or cells by the pathologists. The purpose of this review is to describe the current and future issues of infectious and tropical diseases diagnoses in pathology laboratories, in particular in France.

Whole genome sequencing versus traditional genotyping for investigation of a Mycobacterium tuberculosis outbreak: a longitudinal molecular epidemiological study

BACKGROUND

Understanding Mycobacterium tuberculosis (Mtb) transmission is essential to guide efficient tuberculosis control strategies. Traditional strain typing lacks sufficient discriminatory power to resolve large outbreaks. Here, we tested the potential of using next generation genome sequencing for identification of outbreak-related transmission chains.

METHODS AND FINDINGS

During long-term (1997 to 2010) prospective population-based molecular epidemiological surveillance comprising a total of 2,301 patients, we identified a large outbreak caused by an Mtb strain of the Haarlem lineage. The main performance outcome measure of whole genome sequencing (WGS) analyses was the degree of correlation of the WGS analyses with contact tracing data and the spatio-temporal distribution of the outbreak cases. WGS analyses of the 86 isolates revealed 85 single nucleotide polymorphisms (SNPs), subdividing the outbreak into seven genome clusters (two to 24 isolates each), plus 36 unique SNP profiles. WGS results showed that the first outbreak isolates detected in 1997 were falsely clustered by classical genotyping. In 1998, one clone (termed "Hamburg clone") started expanding, apparently independently from differences in the social environment of early cases. Genome-based clustering patterns were in better accordance with contact tracing data and the geographical distribution of the cases than clustering patterns based on classical genotyping. A maximum of three SNPs were identified in eight confirmed human-to-human transmission chains, involving 31 patients. We estimated the Mtb genome evolutionary rate at 0.4 mutations per genome per year. This rate suggests that Mtb grows in its natural host with a doubling time of approximately 22 h (400 generations per year). Based on the genome variation discovered, emergence of the Hamburg clone was dated back to a period between 1993 and 1997, hence shortly before the discovery of the outbreak through epidemiological surveillance.

CONCLUSIONS

Our findings suggest that WGS is superior to conventional genotyping for Mtb pathogen tracing and investigating micro-epidemics. WGS provides a measure of Mtb genome evolution over time in its natural host context.

Online tools for polyphasic analysis of Mycobacterium tuberculosis complex genotyping data: now and next

Molecular diagnostics and genotyping of pathogens have become indispensable tools in clinical microbiology and disease surveillance. For isolates of the Mycobacterium tuberculosis complex (MTBC, causative agents of tuberculosis), multilocus variable number tandem repeat analysis (MLVA) targeting mycobacterial interspersed repetitive units (MIRU) has been internationally adopted as the new standard, portable, reproducible, and discriminatory typing method. Here, we review new sets of specialized web based bioinformatics tools that have become available for analyzing MLVA data especially in combination with other, complementary genotyping markers (polyphasic analysis). Currently, there are only two databases available that are not restricted to store one kind of genotyping data only, namely SITVIT/SpolDB4 and MIRU-VNTRplus. SITVIT/SpolDB4 (http://www.pasteur-guadeloupe.fr:8081/SITVITDemo) contains spoligotyping data from a large number of strains of diverse origin. However, besides options to query the data, the actual version of SITVIT/SpolDB4 offers no functionality for more complex analysis e.g. tree-based analysis. In comparison, the MIRU-VNTRplus web application (http://www.miru-vntrplus.org), represents a freely accessible service that enables users to analyze genotyping data of their strains alone or in comparison with a currently limited but well characterized reference database of strains representing the major MTBC lineages. Data (MLVA-, spoligotype-, large sequence polymorphism, and single nucleotide polymorphism) can be visualized and analyzed using just one genotyping method or a weighted combination of several markers. A variety of analysis tools are available such as creation of phylogenetic and minimum spanning trees, semi-automated phylogenetic lineage identification based on comparison with the reference database and mapping of geographic information. To facilitate scientific communication, a universal, expanding genotype nomenclature (MLVA MtbC15-9 type) service that can be queried via a web- or a SOAP-interface has been implemented. An extensive documentation guides users through all application functions. Perspectives for future development, including generalization to other bacterial species, are presented.

Roots, development and future directions of laboratory medicine

Laboratory medicine has evolved from basic scientific observation and good experimental practice, with a strong emphasis on establishing the mechanisms of disease processes, linked with biomarker discovery, and development of analytical technologies. That evolution is set to move on apace with the mapping of the human genome. However, laboratory medicine is not solely based on robust basic science, but also on the translation of that knowledge into establishing the clinical utility of a marker, translation into evidence of the impact on health outcomes, as well as transformational change to integrate this new knowledge into the delivery of better care for patients. This translational research and the focus on transformational change are crucial in demonstrating value-for-money in the laboratory medicine service.

The increasing role of DNA molecular technologies in infection control-related medical bacteriology: what the infection prevention specialist needs to know

Molecular biology has the potential to revolutionise the way in which diagnostic tests are delivered in order to optimise care of infected patients, whether they are in hospital or in the community. Many routine hospital diagnostic laboratories are now beginning to adopt commercial molecular kits, which have dramatically expanded the availability of such tests into hospitals, which previously would not have used them. This has created a need among infection prevention specialists, microbiologists and infection control doctors as to what these tests mean, and how to formulate policy around them, so that there is added value for their use in the infection prevention scenario. This review wishes to explore their basis, their application in the infection prevention setting, their interpretation, as well as their advantages and disadvantages, in order to better inform infection prevention specialists.

A method for automatically extracting infectious disease-related primers and probes from the literature

Background

Primer and probe sequences are the main components of nucleic acid-based detection systems. Biologists use primers and probes for different tasks, some related to the diagnosis and prescription of infectious diseases. The biological literature is the main information source for empirically validated primer and probe sequences. Therefore, it is becoming increasingly important for researchers to navigate this important information. In this paper, we present a four-phase method for extracting and annotating primer/probe sequences from the literature. These phases are: (1) convert each document into a tree of paper sections, (2) detect the candidate sequences using a set of finite state machine-based recognizers, (3) refine problem sequences using a rule-based expert system, and (4) annotate the extracted sequences with their related organism/gene information.

Results

We tested our approach using a test set composed of 297 manuscripts. The extracted sequences and their organism/gene annotations were manually evaluated by a panel of molecular biologists. The results of the evaluation show that our approach is suitable for automatically extracting DNA sequences, achieving precision/recall rates of 97.98% and 95.77%, respectively. In addition, 76.66% of the detected sequences were correctly annotated with their organism name. The system also provided correct gene-related information for 46.18% of the sequences assigned a correct organism name.

Conclusions

We believe that the proposed method can facilitate routine tasks for biomedical researchers using molecular methods to diagnose and prescribe different infectious diseases. In addition, the proposed method can be expanded to detect and extract other biological sequences from the literature. The extracted information can also be used to readily update available primer/probe databases or to create new databases from scratch.

Advances and challenges in infectious diseases supportive care of patients with hematologic malignancies, hematopoietic stem cell transplantation, and severe aplastic anemia

Infectious diseases are important causes of morbidity and mortality in immunocompromised patients with hematological malignancies, severe aplastic anemia (SAA), and myelodysplasia. Major advances in infectious diseases supportive care have been critical to improving the outcome of patients suffering from these life-threatening diseases. Advances in diagnosis, treatment, and prevention of life-threatening infections have reduced morbidity and mortality, improved quality of life, and enabled the use of potentially curative chemotherapy, radiation, hematopoietic stem cell transplantation (HSCT), and immunosuppressive therapy to patients battling these devastating diseases. Despite these advances, the continued development of antimicrobial resistance, emergence of new pathogens, and the evolution of host factors present evolving challenges to the successful management of infectious complications in this expanding patient population.