Microbiologists working in clinical/diagnostic microbiology or public health microbiology
(mainly food, water and environmental), have experienced a major revolution of their
profession over recent years. Technological advancements involving the development
and implementation of new analytical platforms have allowed for faster, more accurate
and more complex diagnostics [1]. Some of these technologies are novel and emerge
as ‘disruptive technologies’, while others improve and enhance existing diagnostic
approaches. In this context, how do we define ‘advanced diagnostics’?
Advanced diagnostics can be divided into several groups, according to their methodological
approach as well as their practical applications. One such division differentiates
between culture-dependent (culture-based) and culture-independent microbiology (Table).
With culture-based diagnostics, applicable mainly to bacterial and fungal pathogens,
one or more culture phases are involved in order to yield growth of the suspected
microorganism from a clinical or non-clinical sample. Subsequently, growing isolates
are characterised with respect to taxonomy, antimicrobial drug susceptibility and
other traits (such as virulence and molecular subtypes) by a range of approaches.
These mainly include—but are not necessarily restricted to—characterisation by conventional
(phenotypic) techniques, molecular assays targeting specific genes, proteomics (primarily
taxonomical identification using matrix-assisted laser desorption-ionisation time-of-flight
mass spectrometry (MALDI-TOF-MS)) or single-cell whole genome sequencing (WGS), followed
by bioinformatics analyses to call the taxonomy and phylogenomic subtype and infer
phenotypic resistance and virulence, by mapping the resistome and virulome. WGS, powered
by next-generation sequencing (NGS), is undoubtedly the most impactful application,
downstream to culture isolation, and has the potential to serve as a one-stop-shop
for pathogen characterisation, while allowing for unprecedented accuracy and resolution
[2].
Table
Advanced diagnostics by technology and approaches, 2019
Approach
Technology
Conventional / standardmicrobiology
Molecular microbiology
Proteomics
Molecularstandard typing methods
Genomics / metagenomics
PCR
Multiplex PCR
MALDI-TOF-MS
WGS
Microbiomics
Whole genome metagenomics
Culture-based
Organism ID/AST
Detection/Sanger sequencing of specific gene for characterisation of grown organism
(e.g. resistance or virulence determinant)
Detection of specific genes for characterisation of grown organism (e.g. resistance
or virulence determinant),
Identification of grown organism; more recently, potential for detection of resistance
or typing
PFGE, SLST, MLST, MLVA
ID/AST, mapping of resistome and virulome, typing by SNPs or cgMLST
NA
NA
Culture- independent
NA
Detection of specific genes, for organism presence (or characteristic such as presence
of specific gene)
Syndromic testing for a range of potential pathogens per sample type
Application of MALDI-TOF-MS directly on samples still experimental
NA
NA
Microbial population analysis
Microbial population analysis, functional characterisation, extraction of whole genome
assemblies, phenotype prediction
AST: antimicrobial susceptibility testing; cgMLST: core genome multilocus sequence
typing; ID: identification; MALDI-TOF MS: matrix-assisted laser desorption ionization-time
of flight mass spectrometry: MLST: multilocus sequence typing; MLVA: multilocus variable
number tandem repeat analysis; NA: not applicable; PFGE: pulsed-field gel electrophoresis;
SLST: singlelocus sequence typing; SNP: single nucleotide polymorphism; WGS: whole
genome sequencing.
On the other hand, culture-independent microbiology involves the application of diagnostic
techniques directly on clinical or non-clinical samples, while obviating the need
to recover an organism by culture. This approach has long been used in the field of
virology, where virus isolation is rarely performed for routine diagnostic purposes
whereas it was not common practice for other pathogens. However, culture-independent
detection methods are also applicable to bacterial, fungal and parasitic diseases.
With culture-independent microbiology, several diagnostic strategies are now commonly
used also for the latter group of pathogens, including the application of PCR assays
targeting specific genes that relate to presence of a pathogen and/or an important
inferred phenotype, such as antimicrobial resistance to a key agent. More recently,
a massive increase in the availability of in-house and commercial multiplex PCR assays
is evident, covering a wide range of diagnostic targets in a single run. These assays
are increasingly designed for syndromic diagnosis, covering the most common pathogens
causing infection in well-defined infectious disease syndromes such as respiratory,
gastrointestinal or genitourinary syndromes, as well as syndromes caused by central
nervous system infections and even bloodstream infections [3]. Rapid diagnostic tests
(RDTs) that are derivatives of syndromic multiplex assays have been designed to generate
rapid results in a fairly robust manner and they could be used outside the medical
laboratory, closer to the patient or in the field, even by non-laboratorians [4].
These point of care (POC) or point of impact (POI) molecular tests are highly promising
also with respect to their impact on public health. Lastly, applying NGS technology
directly on samples, an approach also known as metagenomics, has been used for many
years now in ecology and environmental sciences. It has the potential, when applied
on clinical materials, to accurately map the microbial population in a body site (i.e.
the microbiome) by amplification of a target gene such as the 16S rRNA gene, or to
generate information regarding the entire taxonomical composition of a sample, while
allowing deeper analysis of microbial characteristics and functions (shotgun or whole
genome metagenomics) [5]. The latter is especially appealing because of its potential
for not only analysing the microbiota, but also allowing whole genome assemblies’
extraction from the metagenome, enabling therapeutic inferences and, in the future,
complementary analysis of the host human genome or transcriptome for tailoring treatment
and establishing prognosis.
In this special issue of Eurosurveillance, 10 articles describe the development and
application of such advanced diagnostics, with respect to communicable diseases of
public health concern. Through this suite of articles, it is evident that the diagnostic
revolution in the field of microbiology is already creating a major impact on public
health response and policy making related to infectious diseases.
Two papers focus on harnessing WGS for performing national surveillance of pathogens
of public health importance. The first, by Toleman et al., demonstrates the added
value of genomic surveillance of meticillin-resistant Staphylococcus aureus (MRSA)
in the United Kingdom (UK) [6]. This one-year study of all available isolates implicated
in bloodstream infections demonstrated the dynamics of MRSA diversity in the UK, identified
high-risk clones and contextualised several reported outbreaks. The second paper,
by Jenkins et al., shares the UK experience of standardising genomic surveillance
of Shiga-toxin producing Escherichia coli (STEC) as a foodborne pathogen [7]. This
effort proved successful with respect to resolving case clusters with obscure epidemiological
data and provided insight into the evolution of pathogenic strain and geographical
spread.
Four papers focus on employing WGS for cluster/outbreak investigation in different
settings. Fazio et al. studied the increase in serogroup W Neisseria meningitidis
in Italy over nearly two decades, showing an unusual cocirculation of two meningococcal
lineages originating from South America and the Hajj pilgrimage [8]. Similarly, Siira
et al. investigated an increase in Salmonella Chester infections in Norway also over
nearly two decades. WGS dissected this cluster of cases into several distinct geographical
origins and unravelled the occurrence of an outbreak originating in another European
country [9]. Abascal et al. used WGS to target cross-border surveillance of tuberculosis
in Spain. Their data confirm the limitations of the mycobacterial interspersed repetitive-unit-variable-number
tandem-repeat (MIRU-VNTR) approach, in that MIRU-VNTR failed to discriminate importations
and recent transmissions [10]. Finally, Wüthrich et al. studied an exceedance of legionellosis
cases in the city of Basel, Switzerland. Genomic analysis revealed several interesting
features, including the contamination of cooling towers by multiple strains, the involvement
of highly conserved strains in causing disease over a long time period and the interrelations
between cooling towers, which could form a complex microbial network in the same area
[11].
Rodriguez-Sánchez et al. reviewed the utility of MALDI-TOF-MS for public health purposes,
beyond the main application of proteomics. Such applications include direct application
of MALDI-TOF MS on positive blood cultures to improve time to detection of pathogens
causing bacteraemia (especially Gram-negative rods), using MALDI-TOF-MS for identification
of molecular mechanisms of resistance such as carbapenemases and using MALDI-TOF MS
for phylogenetic typing for strains tracking and outbreak detection [12].
Three papers demonstrate the strength of culture-independent microbiology. Ricci et
al. performed an evaluation of a commercial and an in-house qPCR assay for the detection
of Legionella pneumophila in respiratory samples [13]. Their results show that qPCR
outperformed the urinary antigen test and culture. While these findings are not unexpected,
mindful of the known limitation of these two methods, the increase in sensitivity
by molecular diagnosis has public health implications, as more Legionnaires’ disease
cases and clusters will be detected and investigated. In another paper, van der Veer
et al. report on a culture-independent method they developed for typing Neisseria
gonorrhoeae [14]. This approach is advantageous, as typing of this fastidious organism
requires its isolation in culture, which may be challenging. The method developed
and implemented by the authors improved the typeability by ca 50%. Interestingly,
this approach has also shown that multiple subtypes may coinfect individuals, which
is an important epidemiological finding that would have otherwise been missed, should
culture be performed as per existing guidelines from a single anatomical site. Lastly,
Kafetzopoulou et al. have used metagenomics to recover the near-full sequences of
arboviruses from clinical samples that tested positive for chikungunya or dengue viruses
using real-time reverse transcription-PCR [15]. The authors have successfully used
two different sequencing technologies. While the samples sequenced were serum/plasma,
which are normally sterile, making the bioinformatics analysis for genome recovery
less challenging, these findings are encouraging with respect to the feasibility of
future metagenomics approaches for arboviral diseases.
Despite the promising results, several challenges remain and need to be addressed
by the public health, microbiological and infectious disease communities. Reliance
on culture-based methods prolongs the turnaround time for diagnosis and, despite WGS
being increasingly streamlined, producing clinically actionable information in real-time
via WGS is still challenging. Moreover, predicting phenotypes based on genomics (e.g.
prediction of minimum inhibitory concentration to antimicrobials) is still not readily
achievable [16]. MALDI-TOF MS has become very popular and many frontline laboratories
are using it routinely. Still, more advanced applications of MALDI-TOF MS, such as
assessment of antimicrobial resistance or typing, require more development and validation
[16]. With culture-independent approaches, multiplex testing may detect non-culturable,
non-viable organisms whose significance is unknown, as is the frequent detection of
co-infections that are difficult to translate into management decisions while validation
is ongoing. Increased reliance on multiplex PCRs also suggests the reduced availability
of cultured organisms, which has consequences with respect to strain referral and
reference microbiology as a central element of microbiological surveillance at national
and international levels. With metagenomics there are still many hindrances, including
costs, disparities in capabilities and capacities for performing deep sequencing,
optimisation of sample preparation and, most importantly, the bioinformatics analysis,
which is incredibly complex, especially when genotype to phenotype correlations are
sought.
As proteomics, genomics and metagenomics are increasingly being implemented in microbiology
laboratories there are many aspects that need further consideration. These encompass
quality control, including the use of certified reference materials and internal and
external quality assurance [1,17,18]. Furthermore, there is a need for validation
of bioinformatics pipelines that will allow a standardised analysis [19] and meet
accreditation requirements, for ensured reverse compatibility between methods [18],
for data safety and security, for data sharing agreements as well as deposition and
metadata collection etc. The successful implementation of advanced diagnostics in
the service of public health, thus depends on many factors. Appropriate national and
international frameworks are needed that support timely diagnosis of infectious diseases
and high pathogen resolution by using the most appropriate diagnostic methods available
today or becoming available in the near future.