Home Medicine Towards nano-diagnostics for bacterial infections
Article Publicly Available

Towards nano-diagnostics for bacterial infections

  • Georgette B. Salieb-Beugelaar

    Georgette Salieb-Beugelaar’s professional life started in the fields of clinical genetics, DNA research and diagnostics at the Academic Medical Centre in Amsterdam (the Netherlands) in 1996. She studied in parallel Chemistry at the University of Utrecht (the Netherlands) between 2000 and 2003. In 2005, her professional field changed into the microfluidic and nanofluidic world at the University of Twente in Enschede (the Netherlands) and she investigated single DNA molecules in nanoconfined environments on chips yielding in her PhD degree in 2009. The following two years she worked at the Korean Institute of Science and Technology (Saarbrücken, Germany) on nanodropled pseudocrystals in microfluidic chips. Meanwhile, she was also working for the Mesa Institute for Nanotechnology (Twente University), during the set up of their BioNano Laboratory. Since November 2012, Georgette became a member of the multidisciplinary NanoMedicine Group of Prof. Patrick Hunziker, working for the DiscoGnosis project (www.discognosis.eu). Georgette is involved in this journal as scientific managing editor.

    EMAIL logo
    and Patrick R. Hunziker

    Patrick Hunziker has studied Medicine at the University of Zurich, Switzerland. He received a doctoral degree based on thesis work in experimental immunology from the University of Zurich and did further research in experimental hematology at University Hospital in Zurich, Switzerland. He earned specialist degrees in Internal Medicine, Cardiology and Intensive Care Medicine. As a fellow of the Massachusetts General Hospital, Harvard Medical School, he worked on cardiac imaging in a joint project with the Massachusetts Institute of Technology, Cambridge. His professional activities in Europe, the US, Africa and China gave him a broad insight into the needs for the medicine of the future in a variety of settings. Patrick Hunziker became involved in medical applications of Nanoscience in the late 1990s and has been the pioneer physician in Nanomedicine in Switzerland since then. With improved prevention, diagnosis and cure of cardiovascular disease as his main research topic, he worked in the nanoscience fields of atomic force microscopy, nano-optics, micro/nanofluidics, nanomechanical sensors and polymer nanocarriers for targeting. He is the founding president of the European Society of Nanomedicine, cofounder of the European Foundation for Clinical Nanomedicine and coinitiator of the European Conference for Clinical Nanomedicine and is clinically active as deputy head of the Clinic for Intensive Care Medicine at the University Hospital Basel, Switzerland. In November 2008 Patrick Hunziker became professor for Cardiology and Intensive Care Medicine at the University of Basel.

Published/Copyright: March 10, 2015
Become an author with De Gruyter Brill

Abstract

Sensitive, specific and rapid diagnosis of infectious diseases is essential for effective and economic medical care. Focused medical treatment of the patient enabled by pathogen-specific diagnosis may benefit the patient, may reduce cost, and may minimize the risk of drug resistance development. The rapid progress in micro and nanotechnologies contributes to the development of novel diagnostic methods. This critical review assesses emerging nanotechnologies for diagnosis of bacterial infection in developed and developing countries on the background of the current state of the art and includes particular challenges and pitfalls posed by a number of specific pathogens.

Introduction

The era of nanoscience and nanotechnology has brought along a broad spectrum of new technologies and devices that can handle, analyze and visualize tiny samples of matter. The relevance of these technologies for diagnosis of infectious disease in general has been reviewed recently (1). This critical review extends the cited work by examining in-depth the emerging use of nanotechnologies including micro/nanofluidics for diagnosing bacterial infections. Because of their clinical relevance in developed and in developing countries, an emphasis is laid on the diagnosis of typhoid fever, E. coli infections, and pneumococcal infections.

A bacterial infection can be identified in several ways such as (1) the detection of microbial antigens or metabolites in the patients’ blood, urine, stool, or other samples (2) the detection of specific nucleic acids (mRNA, DNA), (3) the presence of whole bacteria (4) the detection of bacterial growth in a suited culture medium and (5) the detection of a specific serologic response to an infection. Method selection for diagnosis depends on the bacterial type, the clinical manifestation or the location of the infection, the epidemiologic setting, the available health care budget, and many other factors. In diseases like typhoid fever due to S. typhi, as few as 1 bacterium per microliter of blood may be present but may hide intracellularly in >50% (2), explaining false negative blood cultures even in manifest infection.

E. coli might be detected in stool of patients, however specific serotypes responsible for the post-diarrheal hemolytic uremic syndrome may not be detectable anymore in the late stage of the infection, resulting in false negative culture results (3). In addition, E. coli, including the opportunistic serotypes, may also be present in the stool of healthy individuals (∼107 colony forming units (CFU)/g stool) (4).

Antigenic similarities among all E. coli serotypes and common features shared with other bacterial strains (such as the lipopolysaccharides), renders the detection of a specific pathogen even more challenging.

Each of the selected bacterial infections discussed will be introduced, followed by a presentation of: (1) current diagnostics [where possible with a focus on rapid tests that can be used at the point of care (POC)], (2) developed/commercial microfluidic devices or Lab-on-a-Chip (LOC) devices and (3) nanotechnology-based diagnostics (nanodiagnostics). In this context, POC is defined as the testing for the presence of an infection using a device that can be used outside the central laboratory near the bed-side of the patient. LOC is defined as a miniaturized (typically a microfluidic) device that is also known as a micro-total-analytical system on which specific laboratory functions are miniaturized and integrated on a single chip. In the final part of the review, the remaining challenges are discussed ending with a conclusion.

As a comprehensive review of the huge body of work that is being performed is out of scope of this paper, we aim to provide an update of the latest achievements in the field. The cited articles were collected by cross-referencing online keyword searches (e.g., “S. pneumoniae diagnostics”, “typhoid fever”, “EHEC”) in citation and database searching (e.g., Scopus, Sciencedirect and Pubmed) from January 2000 to December 2014. The works perceived as most important are exemplarily presented in this review. The emphasis of the literature citations is on the evolution of lateral flow and micro/nanofluidic tests for point-of-care applications.

Diagnostics for bacterial infections: from the state of the art to nano-diagnostics

Streptococcus pneumoniae

General

Streptococcus pneumoniae (pneumococcus) is a spherical, Gram-positive bacterium colonizing the nasal area and capable of causing life-threatening disease such as pneumonia, meningitis, bronchitis, sinusitis and otitis media in both developing countries and industrialized countries.

To date, 93 different serotypes are identified that all differ in chemical structure and immunogenicity, posing a challenge for diagnostics (5). Pneumococcal disease causes over 1.6 millions of deaths annually, mostly among children, older people and patients with immunodeficiencies (6–8). Pneumococcal infection is frequently an indication of a defect in the defense of the host, an overwhelming inoculum, an exposure to a particularly virulent micro-organism, a hematogenous spread from a distant infected site or pulmonary aspiration. Virulent factors of S. pneumoniae include the capsular polysaccharides, the pneumococcal surface protein A (PspA) and protein C (PspC), the pneumococcal surface adhesin A (PsaA) or Hic (see Figure 1). PspA is expressed in all strains of S. pneumoniae (9). The N-terminus is exposed on the bacterial surface and is classified into three families based on sequence homologies in the DNA. Ninety-five percent of all S. pneumoniae carry PspA of family 1 and 2 (PsapA1 and PsapA2 respectively). PspC has a structure related to PspA, however the N-terminus is different. This protein is present in about 75% of all pneumococci types and interferes with the complement system by binding of factor H in human plasma, resulting in protection against both complement attach and phagocytosis. PspC exists also in another variant, the factor H-binding inhibitor of complement (Hic), which is mainly found in serotype 3 (10–12).

Figure 1: The virulent factors of E. pneumoniae [“Streptococcus pneumoniae. Textbook in Diagnosis, Serotyping, Virulence Factors and Enzyme-linked Immunosorbent Assay (ELISA) for Measuring Pneumococcal Antibodies.” (2nd version) Statens Serum Institut, Denmark].
Figure 1:

The virulent factors of E. pneumoniae [“Streptococcus pneumoniae. Textbook in Diagnosis, Serotyping, Virulence Factors and Enzyme-linked Immunosorbent Assay (ELISA) for Measuring Pneumococcal Antibodies.” (2nd version) Statens Serum Institut, Denmark].

Linder and coworkers (8) investigated the human antibody response towards PspA, PspC and Hic of 41 patients during an invasive infection and found that a strong immune response against PspA usually develops during recovery. The high degree of cross-reactivity between the PspA and PspC antibodies renders them less suitable for diagnostics (8). Wright and coworkers (13) showed that persistent antigen exposure from S. pneumonia colonization can induce protective defenses of the immune system against carriage and disease. The immunoglobin responses were directed towards various protein targets except the capsular polysaccharides (13).

Diagnostics

The diagnosis of pneumococcal disease requires the isolation of the organism from a sterile site of the human body such as blood, ascites, pleural fluid or cerebrospinal fluid (14). The current reference methods for diagnosis are culture, ELISA and polymerase chain reaction (PCR). When using rapid tests of respiratory secretions for diagnosis, an additional confirmation method is usually required to exclude the possibility of carriage in the nasopharynx area. In young children (<10 years) such carrier state is found in 30%–60%, whereas in adults the prevalence is 1%–10% (14). The conventional Neufeld “Quellung” reaction may also be used for diagnosis but is expensive, labor-intensive and prone to errors. Its developer, the German bacterist Friedrich Neufeld discovered that antibodies against specific capsular antigens of S. pneumonaie can be produced and used to distinguish between pneumococcal serotypes. After antibody binding and methylene Blue staining, the bacteria look swollen (german “Quellung”) when visualized under the microscope.

The genotypic and serotypic variability of pneumococci is a challenge (15, 16) that requires particular attention when developing new diagnostics. Leung and coworkers (17) presented the “sequetyping” method, a single PCR sequencing strategy for the serotyping of pneumococci by using a single primer pair. The capsulation locus (cps) of 23 different vaccine serotypes was investigated by using the alignment software ClustalX. Two well conserved primer binding sites were selected by the Primer-Finder algorithm covering the regulatory gene cpsB. This selected region at the end of the cps region is specific for S. pneumoniae. In silico predictions revealed that from the current know 92 serotypes, 84 serotypes will deliver a PCR product. The nucleotide order was determined by cycle sequencing and using the same primers. The sequences were compared with the GenBank database and a BLAST score of >98% was considered as the correct serotype. According to the in silico predictions, 46 serotypes could be identified by the selected region. The primers were used to analyze 138 pneumococcal strains that included 48 serotypes. Reproducibility was proven by the correct identification of different strains of a serotype. The 23 vaccine serotypes were identified correctly for 86%. This method is promising for diagnosis and the identification of new serotypes but not suitable for use in resource poor environments. Tuerlinckx and coworkers (18) evaluated a serotype-specific ELISA for the etiologic diagnosis in children with pneumonia acquired in community (CAP). All children (<15 years) had a CAP confirmed by a radiogram (n=163). Pneumococcal infection was confirmed by positive blood and/or pleural fluid culture (n=35) and the non-proven pneumococcal patients (n=128) were also evaluated. The Quelllung reaction was used to define the serotype and ELISA was used to diagnose the IgG and IgA antibodies specific for nine serotypes. The serological response rate with the ELISA was 82.8% and the serotyping results agreed well with the results of the Quellung reaction. With this ELISA it was possible to demonstrate the presence of pneumococcal CAP in 55% of the children with a negative culture result.

Pereira et al. (19) measured the levels of C-reactive protein (CRP), lactate, leucocytes, procalcitonin (PCT), D-dimer, cortisol and brain natriuretic peptide (BNP), in patients with severe CAP within 12 h after receiving the first antibiotic dose. The patients (n=64) were admitted to the intensive care unit and 33 had a confirmed pneumococcal infection, 13 had other bacterial causes (including E. coli, S. aurus, L. pneumophila) and 18 patients had viral infection only in particular H1N1 and H3N2. In patients with pneumococcal disease, significantly higher levels of lactate, BNP, CRP and PCT were found. PCT at a level of >17 ng/mL could identify the patients with severe pneumococcal CAP that may profit from antibiotics, while at lower PCT levels pneumococcal CAP was unlikely. Thus, multiparameter testing for pneumococcal disease is often desirable [see Salieb-Beugelaar and Hunziker (1)].

Microfluidics for S. pneumoniae

Van Heirstraeten (20) and coworkers presented a microfluidic device for analysis of community acquired lower respiratory tract infections that is capable of performing automated sample preparation, including lysis, nucleic acid purification and concentration. After isolation of the nucleic acids, reverse transcription PCR or a fluoremetric assay was performed to measure nucleic acid concentration. Sample preparation in this microdevice resulted in higher or similar concentration of bacterial DNA or viral RNA compared to the conventional benchtop experiments. The device was tested with swabs as well as cultured microorganisms and represents a step forward to the application in a point-of-care test for rapid diagnosis of community acquired lower respiratory tract infections. Dhoubhadel et al. (21, 22) developed a nanofluidic real time PCR system capable to identify 50 serotypes. 194 patients (age <5 years, culture positive, lytA PCR positive) and 140 healthy children (age <5 years, culture and lytA PCR postitive) were investigated with this method. The lytA PCR of nasopharyngeal samples was included to confirm pneumococcus. They showed that a higher bacterial load of a serotype in the nasopharynx suggests higher transmission of this serotype. In addition, the co-colonization of multiple serotypes was associated with acute respiratory infections. Figure 2 presents the bacterial load of specific serotypes of S. pneumoniae in patients and healthy children.

Figure 2: The bacterial loads of specific serotypes in patients (red) and healthy children (blue) [With permission reused from PLoS ONE from: Dhoubhadel BG, Yasunami M, Nguyen HAT, Suzuki M, Vu TH, Thi Thuy Nguyen A, et al. PLoS One 2014;9:e110777. doi:10.1371/journal. pone.0110777 (22)].
Figure 2:

The bacterial loads of specific serotypes in patients (red) and healthy children (blue) [With permission reused from PLoS ONE from: Dhoubhadel BG, Yasunami M, Nguyen HAT, Suzuki M, Vu TH, Thi Thuy Nguyen A, et al. PLoS One 2014;9:e110777. doi:10.1371/journal. pone.0110777 (22)].

An alternative to PCR, which requires a protocol cycling through of different temperatures, loop mediated isothermal amplification of nucleic acids (LAMP) can be used. Luo et al. (23) developed an operationally simple and cost-time effective microfluidic device for LAMP. Its capabilities were documented with the detection of K. pneumonia, M. tuberculosis and H. influenza; while S. pneumoniae lacking from the panel, its inclusion is not expected to pose major challenges). The amplification of the target was measured by the electrochemical signal of methylene blue at eight etched indium tin oxide electrochemical reactors. The potential of this approach was highlighted with the analysis of multiple genes both qualitatively as quantitatively with a limit of detection of 16, 17 and 28 copies/μL for H. influenza, K. pneumoniae and M. tuberculosis respectively.

Nanodiagnostics for S. pneumoniae

Shi et al. (24) presented a rolling cycle amplification of DNA using gold nanoparticles as surface plasmon resonance sensors. The probes included long oligonucleotides, whereby boundary sequences were complementary to the adjacent sequences (also called padlock probes). These probes were coupled to the gold nanoparticles and were specific for bacterial pathogen sequences in 16S rDNA. Hybridization of the target with the probes brings the two ends in contact, resulting in circularization. The advantage of these probes is the flexibility for test development and the potential for targeting a variety of organisms (for further reading, see Szemes et al. (25). Six different pathogens were investigated: E. coli, S. dysenteriae, S. epidermidis, A. aureus, E. faecalis and S. pneumonia. The device identified the six pathogens with 0.5 pM probe quantities and a limit of detection of 0.5 pg/μL genomic DNA in clinical samples.

An electronic nose to detect the complex metabolites that are produced by microorganisms during an infection was presented by Tang et al. (26) following prior work by Schmid (27). The miniaturized gas sensing and battery powered device has 8 sensors incorporated (manufactured of polymer-carbon nanocomposites) and includes a learning kernel. The capability to identify ventilator-associated pneumonia (VAP) was verified in clinical trial where 74 infected samples with confirmed Klebsiella (n=35) and Pseudomas aeruginosa (n=39) including 43 controls were analyzed. Upon usage of the learning kernel, the accuracy was for the infected patients improved from 91.89 to 100%. Even though not all presented examples include the detection of S. pneumoniae, it is clear that the detection of microbiological pathogens is moving into the field of nanodiagnostics.

Salmonella typhi

General

Waterborne diseases are affecting thousands of lives. Poor sanitation and limited access to clean water are the main causes. Salmonella enterica serotype Typhi is a gram-negative rod shaped and flagellated bacterium responsible for typhoid fever, an infection restricted to humans. Globally, 22 million individuals are infected annually of which ∼200.000 die (28). S. typhi and the related bacterium S. paratyphi A, which leads to a similar clinical syndrome, belong to the large family of Salmonella bacteria. Over 2000 serotypes are known which are classified by their differential surface “H” (flagella) and “O” (lipopolysaccharides, LPS) antigens. Types with a common “O” antigen are grouped together. S. typhi belongs to serogroup D that has O9 and O12 in common (29). Infection with S. typhi begins with the ingestion of contaminated food, followed by invasion of the gastrointestinal mucosa by the bacteria and translocation to the lymphoid follicles (Figure 3) where the bacteria can survive and even replicate inside macrophages. Subsequently, they are spread via the bloodstream to the spleen, liver and intestinal lymph nodes (30). The typical incubation period is between 8 and 14 days (31). Symptoms include fever, weakness, anorexia, abdominal pain and potential complications are gastrointestinal bleeding, intestinal perforation, and encephalopathy (32).

Figure 3: Dissemination of S.typhi in the host during a systemic infection [With permission reused from PLoS Pathogen from: de Jong HK, Parry CM, van der Poll T, Wiersinga WJ, PLoS Pathog 2012;8:e1002933. doi:10.1371/journal.ppat.1002933].
Figure 3:

Dissemination of S.typhi in the host during a systemic infection [With permission reused from PLoS Pathogen from: de Jong HK, Parry CM, van der Poll T, Wiersinga WJ, PLoS Pathog 2012;8:e1002933. doi:10.1371/journal.ppat.1002933].

Immune cells and antibody-mediated immune responses play a role in controlling and clearing S. typhi infection (33). Vaccines are available, but not very effective, although with the emergence of multidrug resistant bacteria, the development of new vaccines would be very urgent (34).

Diagnostics

The diagnosis of a S. typhi infection can be done by the cultivation of blood, stool, urine or duodenal contents. The specificity of a culture is considered as 100%. The reported sensitivities in literature vary. Gotuzzo and coworkers (35) showed that the organism could be isolated from 98% of bone marrow cultures of patients, while only 70% were blood culture positive. Even after five days of antibiotic therapy, such bone marrow cultures can remain positive (36). Within the first week of onset, cultures from blood, stool and intestinal secretion are positive in ∼85%–90% of the cases. In a later stage of the infection, this is 20%–30% lower. The use of stool cultures alone yielded a sensitivity of <50% and for urine this is even less (37). Another method to diagnose is detection of target bacterial DNA in samples by PCR. However, the number of bacteria circulating in blood of patients with bacteremia is <1 CFU/mL blood (2). Thus, the human DNA is dominating, which may result in false negative results due to reduced sensitivity or false positive results due to non-specific binding of the primers. Zhou et al. (38) developed a method to enrich the target bacterial fliC-d gene. Human DNA is removed from the blood samples. Ox bile is used to lyse the human blood cells, while S. typhi is resistant. The released Human DNA is subsequently degraded by Micrococcal nuclease. Experiments with spiked blood samples showed that this method enhanced the PCR sensitivity by 1000 fold. Urine may also be used to diagnose typhoid fever by PCR as developed by Kumar et al. (39). This two-step PCR yielded a sensitivity and specificity of 90.9% and 100% respectively for blood samples, 95.5% and 100% respectively for urine samples and 68.1% and 85% for stool samples. Blood cultures had a sensitivity of 31.8% and a specificity of 100%. An intriguing observation was reported by Ahirwar et al. (40). They exposed urine, blood and stool samples of acute typhoid fever patients (n=90) and chronic typhoid carriers (n=36) to acidic pH. Isolation after the acidic exposure yielded 77.7% of the acute patients to be positive for S. typhi, compared to 8.8% provided with the conventional method. In chronic carriers provided 42% positive samples for S. typhi that was 5.5% when the conventional method was applied. The acid shock enhances the multiplication of the bacteria and as a consequence increases the isolation rates from samples.

The application of serological tests for S. typhi is limited as a result of false positives due to prior infections or cross-reaction with non-Salmonella bacteria. Therefore, a positive result always requires an additional confirmation method as a positive culture or PCR. A common method is the agglutination test introduced in the late nineteenth century by Widal and Secard, where specific antibodies in patient serum result in the aggregation of a cell suspension. In case of a S. typhi infection, these antibodies (the agglutinins) are directed against the H (flagellar) and the O (somatic) bacterial antigens. Bakr and coworkers (41) compared the sensitivity, specificity and accuracy of 4 different brands of Widal tests for the anti-H and O antibodies. 150 clinically suspected patients and a negative control group (n=25) were investigated. As reference test an IgM anti-LPS ELISA was used (91/150). Serum samples were diluted (1/80, 1/160 and 1/320). They concluded that a four-fold rise of the antibody titer was not demonstrable (clinical diagnosed patients) and H agglutinins were less specific and sensitive when comparing to O agglutinins. Even though the Widal tests cannot be used to confirm an infection due to the low sensitivity and specificity, in the absence of other methods in resource poor areas, this test is a possible alternative. In addition, a negative test is a good indication for the absence of the disease as concluded by Andualem et al. (42). They investigated a Widal test and found a sensitivity of 71.4%, a specificity of 68.4%, a positive predicitive value of 5.7% and a negative predictive value of 98.9%. For further reading, see Olopoenia et al. (43), who reviewed this test since its introduction in 1896.

Another rapid test is the Tubex method, to detect IgM specific for the O9 LPS in patient sera. Ley and coworkers (44) investigated the use of Tubex among hospitalized children (n=139) in Tanzania with blood culture as reference method (n=33), culture confirmed non-typhi infections (n=49) and other non salmonella infections (n=57). The non-typhi samples were used as control, resulting in a sensitivity of 79% and a specificity of 89%. They concluded that apart from a shorter time to obtain results, results of the Tubex test are comparable to the Widal test.

Keddy et al. (45) investigated the performance of various rapid antibody diagnostic tests with blood culture as the reference method in sub-Saharan African sites. They concluded that the single-tube Widal test and semi-quantitative slide agglutination test performed poorly. The included Tubex and Typhidot tests performed better but still not comparable tot the blood culture. The Tubex had a sensitivity and specificity of 73% and 69% respectively, Typhidot IgM 75% and 60.7% respectively and Typhidot IgG 69.2% and 70.4% respectively. It is thus evident that the available tests for diagnosis of salmonella infection leave a large unmet need for simple, inexpensive, reliable and fast point-of-care use. The search for new salmonella biomarkers is ongoing; Liang and coworkers (46) performed an protein microarray with 2724 S. typhi antigens (∼63% of all predicted proteins) and identified IgM antibodies against 77 and IgG antibodies against 16 novel antigen targets in the serum of acute typhoid patients and healthy controls. The antigens specific for IgMs produced a 97% & 91% sensitivity and specificity respectively, whereas the antigens specific for IgGs produced a 97% & 80% sensitivity and specificity respectively. This type of investigation contributes to both the understanding of the immune responses of the human body during infection and may lead to the development for novel rapid tests for diagnosis of typhoid fever.

Microfluidics for S. typhi

Limited work has been done on the application of microfluidic devices for the detection of antigens or antibodies specific for S. typhi. Lafleur and coworkers (47) developed a multilayered microfluidic immunoassay card for the detection of IgM antibodies against S. typhi LPS and P. falciparum HRPII antigen in blood discussed in Salieb-Beugelaar and Hunziker (1). The available samples were limited (n=9) and included positive and negative clinical samples. The detection of S. typhi IgM on the card was compared by laboratory ELISA and bench-top rapid flow-through membrane immunoassay. The volume of each sample was not enough to perform the tests in duplicate. The ELISA was done in duplicate. The intensity response of the card was comparable to both the bench-top assay and the ELISA. The clinical utility of the cards could not be evaluated as a result of the limited number of samples.

Nanodiagnostics for S. typhi

Das et al. (48) recently published an electrochemical DNA sensor for the detection of the S. typhi Vi gene. A self-assembled layer of organosilane 3-mercaptopropyltrimethoxysilane (MPTS) on top of a screen printed electrode was used to electrochemically deposit gold nanoparticles. On the surfaces of the nanoparticles, thiol-modified DNA probes were immobilized to detect target nucleic acid of S. typhi. After the characterization of the sensor by atomic force microscopy, cyclic voltammetry and electrochemical impedance spectroscopy, the performance of the sensor was measured by differential pulse voltammograms, using methylene blue as a hybridization indicator. In more than 98% of the isolates of patients, this gene was expressed. Linearity was from 1.0.10–11 to 0.5×10–8 M. The limit of detection was ∼50 pM. Typhi detection in real samples appears to be an ongoing project of this promising early work.

Escherichia coli

General

The gram negative, rod shaped and facultative anaerobic bacterium E. coli is responsible for outbreaks of both waterborne and foodborne diseases. Physiologically, this bacterium is present in huge numbers in the intestinal lumen of human and warm-blooded animals. While usually innocuous, a breakup of the gastrointestinal barriers even otherwise non-pathogenic E. coli strains can cause an infection. The bacterium is used as an indicator of fecal contamination in water quality assessment (49). Clinical syndromes associated with diarrheagenic E. coli include (1) watery diarrhea caused by enterotoxic E. coli (ETEC), (2) infantile diarrhea caused by enteropathogenic E. coli (EPEC), (3) hemorrhagic colitis and hemolytic uremic syndrome caused by enterohemorrhagic E. coli (EHEC), (4) dysentery caused enteroinvasive E. coli (EIEC) and (5) persistent diarrhea in children and patients infected with HIV caused by enteroaggregative E. coli (EAEC) (50, 51). EHEC is responsible for isolated outbreaks of diarrhea, bloody diarrhea and a cause of postdiarrheal hemolytic uremic syndrome (HUS) (52) where the O157:H7 serotype is the globally dominating cause (53). The diagnosis of EHEC is based on the detection of the Shiga toxin in feces and the isolation and characterization of the strain, but the causative E. coli often is no longer detectable at the time of onset of HUS, rendering diagnosis difficult. In addition, HUS may also be caused by other Shiga toxin producing serotypes including the S. dysenteriae serotype 1 (54). According to the WHO, ETEC is the leading bacterial cause of diarrhea in the developing world and is the most common cause of travelers’ diarrhea. It is estimated that approximately 210 million cases per year with around 380.000 deaths are caused by ETEC (55, 56). The strain is known to produce colonization factors that enhance adherence to the intestinal mucosa (57), in addition, the bacteria produce two types of toxins, the heat stable (ST) and/or the heat labile (LT) enterotoxin. The latter leads to an immune response in humans (58). For further reading, we recommend the review of Isidean and coworkers (59). Vaccines are available, but their the protection is limited in potency and usually abates with a few months. Steinsland et al. (60) reported that natural infections provide also protection as reflected by the decreasing rates of diarrhea with age and/or the lower ratios of symptomatic infections with increasing age. This suggests the hypothesis that immunization in early life might represent an effective preventive strategy.

Diagnostics

For the diagnosis of these infections, stool cultures or PCR tests are the gold reference methods. There is ongoing PCR tests development as shown by the recently published multiplex PCR of Andrade and coworkers (61) for the detection of both typical and atypical EAEC. Typical EAEC expressing the AggR regulon is a global cause of childhood diarrhea (62), whereas atypical forms of EAEC do not express this regulon.

Andrade et al. (61) designed 4 amplicons of 4 different genes; aggR (346 bp), aaiA (476 pb), aatA (630 bp) and aaiG (782 bp). A multiplex PCR was performed with 406 E. coli isolates that were collected in an earlier study (63). The final collection included 199 non-pathenogenic E. coli, 3 EHEC, 17 ETEC, 16 EIEC, 81 DAEC, 32 EPEC (18 atypical, 14 typical) and 58 EAEC (20 atypical, 38 typical). From all strains, 75 were detected by the PCR with at least one PCR product, of which 55 belonged to the EAEC pathotype (17 atypical, 38 typical). A sensitivity of 94.8% and a specificity 94.3% were found with a detection limit of 125 ng of purified genomic DNA.

Rapid tests are used mostly for toxin detection in food samples or bacterial cultures. The Duopath Verotoxin rapid test was developed for the detection of Shiga toxin 1 and 2 (Stx1 and Stx2 respectively) of EHEC in human stool samples and were evaluated by Grif et al. (64). Compared with a commercial ELISA and PCR, the rapid test showed a lower sensitivity and specificity. For Stx1 the sensitivity and specificity for the rapid test was 46.15% and 79.8% respectively while the PCR was reported to be 100%. For Stx2 the sensitivity and specificity for the rapid test was 79.8% and 75% respectively while also here the PCR was declared to be perfect sensitivity and specificity. The EHEC-ELISA was not able to distinguish between the two toxins and provided a sensitivity of 94.6% and specificity of 96.3% compared to the PCR.

Specific antibodies against the lipopolysaccharides (LPS) of the bacteria can also be detected, however there is a chance of false positive due to the presence of cross-reactive antibodies against epitopes of LPS of different bacteria (including other E. coli strains) (65).

Recently, bacterial glycoengineering technology was used to generate recombinant glycoproteins that were composed of a polysaccharide (O121, O145 or O157) coupled to a carrier protein (66). They demonstrated that these glycoproteins could be used as antigen in ELISA to discriminate between confirmed infected patients (O157, O145 or O121) and healthy children (total n=71). Of all positive samples, the infection was confirmed by positive isolation of the bacteria from stools, detection of fecal Stx on Vero cells by using antibodies (Stx1 & Stx2) and/or PCR specific for the stx 1/2 genes by using a sample from the MacConky Sorbitol agar plate. Three different groups were composed and analyzed with the new glyco-ELISA. The first group included patients that were diagnosed for another infectious disease (n=14). All obtained samples were serologically negative for the three glycoprotein-antigens and hereby confirming their high specificity. The second group included patients with a diagnosis of HUS or bloody diarrhea (n=13). 92.3% of the analyzed samples were serologically positive for the glycoprotein-antigens (7.7% O121, 30.8% O145 and 53.8% O157). The third group included patients with a clinical diagnosis of HUS or bloody diarrhea without a confirmation of the infection by stool culture of a specific PCR (n=44). 79.5% of these samples were serologically positive (2.3% O121, 15.9% O145 and 56.8% O157). They also identified a specific IgM response in almost all samples indicating that it might be possible to diagnose an infection in the early stages.

Microfluidics for E. coli

Agrawal and coworkers (67) developed a PDMS multiplexed microfluidic device for the quantitative or the multiplexed detection of waterborne pathogens. The capability of the device was shown with the detection of E. coli and S. typhimurium. In Figure 4, a schematic representation of the immuno assay is presented. Each microfluidic channel contains three different zones: the pre-capture zone, the capture zone and the detection zone respectively. In each zone, a magnet is embedded. In the (pre)capture zones, the immunomagnetic separation of the target bacteria from the sample was achieved through the specific binding of the antibody conjugated magnetic nanoparticles with the bacteria. Subsequently, the bacteria-magnetic beads complexes are moved towards the detection zone where specific antibody labeled Quantum Dots are used to visualize the presence of the target bacteria. The working range for both types of bacteria was 103–107 CFU/mL. The capabilities of the device might be further investigated by the detection of E. coli in diluted stool samples.

Figure 4: A. The microfluidic channels contain three different zones. The antibody conjugated magnetic nanoparticles are entrapped with a permanent magnet. In B and C the target bacteria is captured and in D the quantum dot labeled antibody is used to visualize the presence of the target bacteria [With permission reused from Springer from Agrawal S, Morarka A, Bodas D, Paknikar KM. Appl Biochem Biotechnol. 2012;167:1668–77 (67)].
Figure 4:

A. The microfluidic channels contain three different zones. The antibody conjugated magnetic nanoparticles are entrapped with a permanent magnet. In B and C the target bacteria is captured and in D the quantum dot labeled antibody is used to visualize the presence of the target bacteria [With permission reused from Springer from Agrawal S, Morarka A, Bodas D, Paknikar KM. Appl Biochem Biotechnol. 2012;167:1668–77 (67)].

Jian et al. (68) developed a high throughput microfluidic device for the detection of airborne bacteria including E. coli. Bioaerosols (made by using an aerosol generator) with numbers of E. coli ranging from 104- 106 CFU/mL where used to determine the sensitivity of the microfluidic chip. E. coli, C. koseri, S. aureus, K. pneumoniae, E. faecalisand P. aeruginosa were used to validate the system. For each organism an amplicon was designed such that the difference in between was ∼40 bp in order to differentiate between the PCR product by gel electrophoresis. The bacteria were first captured and then enriched by using microfluidic chip containing a staggered herringbone mixer structure, and consecutively they were amplified by the use of a high-throughput continuous-flow PCR chip. Amplified products were analyzed by 1.5% agarose gel electrophoresis. No cross-contamination between different channels was found, and proof of concept for efficient mixing of reagents and sample and finally precise control of fluids through microvalves (loading and mixing) was achieved.

Nanodiagnostics for E. coli

Pandey and coworkers (69) presented 3D cystine flowers and palm like structures that are used to develop high performance electrochemical immunosensors. The capabilities of these sensors were investigated by the detection of E. coli bacterium (O157:H7). A linear range from 10 to 3×109 CFU/mL with a LOD of 4.7 CFU/mL was determined for the 3D flower and for the palm leafs the linear range was 103–3×109 CFU/mL and the LOD 9.64×102 CFU/mL. This difference could be explained by the nanostructured surface of the 3D flowers (confirmed by the increased surface roughness), leading to an increased surface area and consequently a larger available surface for the immobilization of antibodies. The shelf live of the sensors was 35 days at 4°C in PBS.

Cheng et al. (70) presented a novel amperometric immunosensor based on functionalized four-layer magnetic nanoparticles for the detection for E. coli (O157:H7). The core is magnetic Fe3O4, the second layer is Prussian blue, the third layer is N-(2-aminoethyl)-3-aminopropyltrimethoxylsilane and the final layer is the gold (Au) nanoparticle shell. Antibodies specific for O157:H7 were bound on the nanoparticle surface by using Au-SH bonds. (Turning of the electricity can regenerate the sensor). Heat killed E. coli was detected with a linear range of 3.6×103–106 CFU/mL. The investigators published the development of another novel sensor for the amperometric detection of E. coli (O157:H7) (71). Here, graphene oxide was used as a nanocarrier for the electrostatic adsorption of SiO2 nanoparticles (Au coated) and immobilization of thionine (see Figure 5). On this surface, large amounts of G-quadruplex DNA and signal DNA were immobilized. After addition of hemin, a hemin/G-quadruplex is formed and acts as a signal tag for the detection of the eaeA gene of E. coli (O157:H7). The developed sensor is capable to detect the eaeA gene with a linear range of 0.02–50 nM and with a limit of detection of 0.01 nM. The latest discussed work opens the door to the development of nanodiagnostics for the detection of any pathogen.

Figure 5: The fabrication of the nanocomposite DNA biosensor and the detection of the sample [With permission reused from Elsevier from Li Y, Deng J, Fang L, Yu K, Huang H, Jiang L, et al. Biosens Bioelec 2015;63:1–6 (71)].
Figure 5:

The fabrication of the nanocomposite DNA biosensor and the detection of the sample [With permission reused from Elsevier from Li Y, Deng J, Fang L, Yu K, Huang H, Jiang L, et al. Biosens Bioelec 2015;63:1–6 (71)].

Future challenges for in vitro diagnostics suited for infectious diseases

In this review, we selected three pressing bacterial infections and used a short description of the clinical relevance and the pathogenesis as basis to concisely discuss the current diagnostic approach with an emphasis on rapid diagnostics. Then, we progressed to new developments for these infections based on microfluidic and nanodiagnostic technologies. In general, the number of available microfluidic devices for POC diagnosis in general has increased dramatically including the increased use of nanotechnology for part of these devices, but the pace of progress is variable for the infections considered in this work. Reasons for faster or slower progress include the genetic, immunologic and clinical complexity of some disease, the different commercial potential or the attention of the media for given disease. In our view, the development opportunities for “new” diagnostic devices include:

  1. Improving and miniaturizing current clinical standard methods to simplify diagnosis in resource pour environment.

  2. Expanding the targets of successfully introduced devices that were designed for a specific disease. An example is the existing low cost, single use, rapid and accurate POC device for the detection of influenza A (72). Solid phase extraction and RNA amplification (RT-PCR) are integrated on this chip. This device might be applicable for the design of RT-PCRs of other infections.

  3. Multiparameter testing in a single assay of various targets of a given bacterium or including other strains and biomarkers, which are not strain-specific but predicitive of severity or outcome. This will contribute to a rapid and specific differential diagnosis; lead to a better treatment and as a result decreases the risk of development of resistant bacteria. An example is the discussed work of Shi et al. (24) who developed a rolling cycle amplification for the detection of 6 different bacteria. Another example is concurrent measurement of PCT levels in serum of patients with severe CAP (19), where levels below 17 ng/mL could identify patients with an infection unlikely to be caused by pneumococci. The development of microfluidic total analysis systems including several parameters and organisms in one design may thus enhance rapid and specific diagnostics.

  4. Mobile phone based diagnostics. Resource poor environments often do have the access to mobile phones and their networks. These might be used as an operating medical device in the field as presented by Stemple et al. (73). In this work, the LED light of the mobile phone was used as the light source and the camera as detector. P. falciparum HRPII was successfully detected in 10% blood with a LOD of 1 pg/mL.

  5. Novel design concepts. An example is the laminated card concept of Lafleur and coworkers (47) that is capable to detect Typhi specific antibodies (IgM) and the P. falciparum HRP2 antigen. All the reagents were stored in a dry form on the card and to run the test, only the buffer and the sample were required.

Another important and rapid developing field is the use of computer models. Computer performance enables the prediction of the performance and the optimization of novel devices before they are built as illustrated by the work of Zimmermann and coworkers (74). This will enhance the basic scientific understanding of molecular behavior in nanofluidics and/or nanoconfinements and practically lead to improved point-of-care devices. In addition, software might also be used for the identification of new molecular targets. Soni et al. (75) presented the “Genome to hits” strategy, which is a novel strategy that incorporates steps such as the prediction of a gene, the determination of the tertiary protein structure and the identification of an active protein site. This pathway provides a novel approach to identify new molecules from genomic information that might be relevant for diagnostics or vaccines.

Progress in terms of sensitivity is bounded by the fact that less than a single biomolecule is in the given sample volume. The goals to attain by improvement in fabrication techniques will therefore consist in parallelization to multiple targets and in incorporation of more complex sample handling on-chip, and therefore reduced complexity for the end user. Energy autonomous systems, improved electronics, optimized software and wireless (mobile phone) technologies will contribute significantly to the microfluidic and nano aspects of upcoming and inexpensive POC devices for use in resource poor areas. Maximal simplicity of the end user will be a sine-qua-non for success of such devices.

Conclusion

Nanodiagnostics is a rapidly evolving field. Key issue is the clever use of new technologies for the development and improvement of LOC and/or POC devices and to enable such devices for multiparameter testing. A rewarding goal is the development of multiparameter tests for diseases with common symptoms, for example “acute febrile syndromes” as for example in the DiscoGnosis project (www.discognosis.eu). Here, one single POC device is developed for the detection of malaria (P. falciparum), S. typhi, Dengue and pneumococcal infection concurrently, with inclusion of by nucleic acid testing and protein detection on the same disk.


Corresponding author: Georgette B. Salieb-Beugelaar, Medizinische Intensiv-Pflegestation (MIPS), Research Group Nanomedicine, Universitätsspital Basel, Petersgraben 4, CH-4031 Basel, Switzerland; and The European Foundation for Clinical Nanomedicine (CLINAM), Alemannengasse 12, CH-4016 Basel, Switzerland, E-mail:

About the authors

Georgette B. Salieb-Beugelaar

Georgette Salieb-Beugelaar’s professional life started in the fields of clinical genetics, DNA research and diagnostics at the Academic Medical Centre in Amsterdam (the Netherlands) in 1996. She studied in parallel Chemistry at the University of Utrecht (the Netherlands) between 2000 and 2003. In 2005, her professional field changed into the microfluidic and nanofluidic world at the University of Twente in Enschede (the Netherlands) and she investigated single DNA molecules in nanoconfined environments on chips yielding in her PhD degree in 2009. The following two years she worked at the Korean Institute of Science and Technology (Saarbrücken, Germany) on nanodropled pseudocrystals in microfluidic chips. Meanwhile, she was also working for the Mesa Institute for Nanotechnology (Twente University), during the set up of their BioNano Laboratory. Since November 2012, Georgette became a member of the multidisciplinary NanoMedicine Group of Prof. Patrick Hunziker, working for the DiscoGnosis project (www.discognosis.eu). Georgette is involved in this journal as scientific managing editor.

Patrick R. Hunziker

Patrick Hunziker has studied Medicine at the University of Zurich, Switzerland. He received a doctoral degree based on thesis work in experimental immunology from the University of Zurich and did further research in experimental hematology at University Hospital in Zurich, Switzerland. He earned specialist degrees in Internal Medicine, Cardiology and Intensive Care Medicine. As a fellow of the Massachusetts General Hospital, Harvard Medical School, he worked on cardiac imaging in a joint project with the Massachusetts Institute of Technology, Cambridge. His professional activities in Europe, the US, Africa and China gave him a broad insight into the needs for the medicine of the future in a variety of settings. Patrick Hunziker became involved in medical applications of Nanoscience in the late 1990s and has been the pioneer physician in Nanomedicine in Switzerland since then. With improved prevention, diagnosis and cure of cardiovascular disease as his main research topic, he worked in the nanoscience fields of atomic force microscopy, nano-optics, micro/nanofluidics, nanomechanical sensors and polymer nanocarriers for targeting. He is the founding president of the European Society of Nanomedicine, cofounder of the European Foundation for Clinical Nanomedicine and coinitiator of the European Conference for Clinical Nanomedicine and is clinically active as deputy head of the Clinic for Intensive Care Medicine at the University Hospital Basel, Switzerland. In November 2008 Patrick Hunziker became professor for Cardiology and Intensive Care Medicine at the University of Basel.

Acknowledgments

We would like to thank Prof. Rutledge Ellis-Behnke of the Medical Faculty Mannheim of the University of Heidelberg (Germany) for the support in knowledge. This review has been written to contribute to the DiscoGnosis project that has the core objective to develop a platform that would allow the detection of malaria and similar pathogenic diseases in a rapid, multiplexed and non-invasive way (www.discognosis.eu). This project is supported by the European Commission through the 7th Framework Programme on Research and Technological Development within the Objective FP7 ICT-2011.3.2 and under Grant Agreement No. 318408.

References

1. Salieb-Beugelaar GB, Hunziker PR. Towards nano-diagnostics for rapid diagnosis of infectious diseases – current technological state. Eur J Nanomed 2014;6:11–28.10.1515/ejnm-2014-0004Search in Google Scholar

2. Wain J, Diep TS, Ho VA, Walsh AM, Hoa NT, Parry CM, et al. Quantitation of bacteria in blood of typhoid fever patients and relationship between counts and clinical features, transmissibility, and antibiotic resistance. J Clin Microbiol 1998;36:1683–7.10.1128/JCM.36.6.1683-1687.1998Search in Google Scholar PubMed PubMed Central

3. Mody RK, Luna-Gierke RE, Jones TF, Comstock N, Hurd S, Scheftel J, et al. Infections in pediatric postdiarrheal hemolytic uremic syndrome: factors associated with identifying shiga toxin-producing Escherichia coli. Arch Pediatr Adolesc Med 2012;166:902–9.10.1001/archpediatrics.2012.471Search in Google Scholar PubMed

4. Kurakawa T, Kubota H, Tsuji H, Matsuda K, Takahashi T, Ramamurthy T, et al. Intestinal Enterobacteriaceae and Escherichia coli populations in Japanese adults demonstrated by the reverse transcription-quantitative PCR and the clone library analyses. J Microbiol Meth 2013;92:213–9.10.1016/j.mimet.2012.12.008Search in Google Scholar PubMed

5. Calix JJ, Dagan R, Pelton SI, Porat N, Nahm MH. Differential occurrence of Streptococcus pneumoniae serotype 11e between asymptomatic carriage and invasive pneumococcal disease isolates reflects a unique model of pathogen microevolution. Clin Infect Dis 2012;54:794–9.10.1093/cid/cir953Search in Google Scholar PubMed PubMed Central

6. Weekly epidemiological record Relevé épidémiologique hebdomadaire. 23 MARCH 2007, 82nd YEAR/23 MARS 2007, 82e ANNÉE, No. 12, 2007, 82, 93–104, http://www.who.int/wer, ISSN 0049-8114.Search in Google Scholar

7. Hausdorff WP, Bryant J, Paradiso PR, Siber GR. Which pneumococcal serogroups cause the most invasive disease: implications for conjugate vaccine formulation and use, part I. Clin Infect Dis 2000;30(1):100–21.10.1086/313608Search in Google Scholar PubMed

8. Linder A, Hollingshead S, Janulczyk R, Christensson B, Akesson P. Human antibody response towards the pneumococcal surface proteins PspA and PspC during invasive pneumococcal infection. Vaccine 2007;25:341–5.10.1016/j.vaccine.2006.07.028Search in Google Scholar PubMed

9. Hollingshead SK, Becker R, Briles DE. Diversity of PspA: Mosaic genes and evidence for past recombination in Streptococcus pneumoniae. Infect Immun 2000;68:5889–900.10.1128/IAI.68.10.5889-5900.2000Search in Google Scholar PubMed PubMed Central

10. Brooks-Walter A, Briles DE, Hollingshead SK. The pspC gene of Streptococcus pneumoniae encodes a polymorphic protein, PspC, which elicits cross-reactive antibodies to PspA and provides immunity to pneumococcal bacteremia. Infect Immun 1999;67:6533–42.10.1128/IAI.67.12.6533-6542.1999Search in Google Scholar PubMed PubMed Central

11. Janulczyk R, Iannelli F, Sjoholm AG, Pozzi G, Bjorck L. Hic, a novel surface protein of Streptococcus pneumoniae that interferes with complement function. J Biol Chem 2000;275:37257–63.10.1074/jbc.M004572200Search in Google Scholar PubMed

12. Iannelli F, Chiavolini D, Ricci S, Oggioni MR, Pozzi G. Pneumococcal surface protein C contributes to sepsis caused by Streptococcus pneumoniae in mice. Infect Immun 2004;72:3077–80.10.1128/IAI.72.5.3077-3080.2004Search in Google Scholar PubMed PubMed Central

13. Wright AK, Ferreira DM, Gritzfeld JF, Wright AD, Armitage K, Jambo KC, et al. Human Nasal challenge with Streptococcus pneumoniae Is immunising in the absence of carriage. PLoS Pathog 2012;8:e1002622.10.1371/journal.ppat.1002622Search in Google Scholar PubMed PubMed Central

14. Song JY, Nahm MH, Moseley MA. Clinical implications of pneumococcal serotypes: invasive disease potential, clinical presentations, and antibiotic resistance. J Korean Med Sci 2013;28:4–15.10.3346/jkms.2013.28.1.4Search in Google Scholar PubMed PubMed Central

15. Bentley SD, Aanensen DM, Mavroidi A, Saunders D, Rabbinowitsch E, Collins M, et al. Genetic analysis of the capsular biosynthetic locus from all 90 pneumococcal serotypes. PLoS Genet 2006;2:e31.10.1371/journal.pgen.0020031Search in Google Scholar PubMed PubMed Central

16. McEllistrem MC, Noller AC, Visweswaran S, Adams JM, Harrison LH. Serotype 14 Variants of the France 9V–3 clone from baltimore, Maryland, can be differentiated by the cpsB gene. J Clin Microbiol 2004;42:250–6.10.1128/JCM.42.1.250-256.2004Search in Google Scholar PubMed PubMed Central

17. Leung MH, Bryson K, Freystatter K, Pichon B, Edwards G, Charalambous BM, et al. sequetyping: serotyping Streptococcus pneumoniae by a Single PCR sequencing strategy. J Clin Microbiol 2012;50:2419–27.10.1128/JCM.06384-11Search in Google Scholar PubMed PubMed Central

18. Tuerlinckx D, Smet J, De Schutter I, Jamart J, Vergison A, Raes M, et al. Evaluation of a WHO-validated serotype-specific serological assay for the diagnosis of pneumococcal etiology in children with community-acquired pneumonia. Pediatr Infect Dis J 2013;32:e277–84.10.1097/INF.0b013e31828c363fSearch in Google Scholar PubMed

19. Pereira JM, Teixeira-Pinto A, Basílio C, Sousa-Dias C, Mergulhão P, Paiva JA. Can we predict pneumococcal bacteremia in patients with severe community-acquired pneumonia? J Crit Care 2013;28:970–4.10.1016/j.jcrc.2013.04.016Search in Google Scholar PubMed

20. Van Heirstraeten L, Spang P, Schwind C, Drese KS, Ritzi-Lehnert M, Nieto B, et al. Integrated DNA and RNA extraction and purification on an automated microfluidic cassette from bacterial and viral pathogens causing community-acquired lower respiratory tract infections. Lab Chip 2014;14:1519–26.10.1039/C3LC51339DSearch in Google Scholar PubMed

21. Dhoubhadel BG, Yasunami M, Yoshida LM, Thi HA, Thi TH, Thi TA, et al. A novel high-throughput method for molecular serotyping and serotype-specific quantification of Streptococcus pneumoniae using a nanofluidic real-time PCR system. J Med Microbiol 2014;63(Pt 4):528–39.10.1099/jmm.0.071464-0Search in Google Scholar PubMed

22. Dhoubhadel BG, Yasunami M, Nguyen HA, Suzuki M, Vu TH, Thi Thuy Nguyen A, et al. Bacterial load of pneumococcal serotypes correlates with their prevalence and multiple serotypes is associated with acute respiratory infections among children less than 5 years of age. PLoS One 2014;9:e110777.10.1371/journal.pone.0110777Search in Google Scholar

23. Luo J, Fang X, Ye D, Li H, Chen H, Zhang S, et al. A real-time microfluidic multiplex electrochemical loop-mediated isothermal amplification chip for differentiating bacteria. Biosens Bioelectron 2014;60:84–91.10.1016/j.bios.2014.03.073Search in Google Scholar

24. Shi D, Huang J, Chuai Z, Chen D, Zhu X, Wang H, et al. Isothermal and rapid detection of pathogenic microorganisms using a nano-rolling circle amplification-surface plasmon resonance biosensor. Biosens Bioelectron 2014;62:280–7.10.1016/j.bios.2014.06.066Search in Google Scholar

25. Szemes M, Bonants P, de Weerdt M, Baner J, Landegren U, Schoen CD. Diagnostic application of padlock probes–multiplex detection of plant pathogens using universal microarrays. Nucleic Acids Res 2005;33:e70.10.1093/nar/gni069Search in Google Scholar

26. Tang KT, Chiu SW, Shih CH, Chang CL, Yang CM, Yao DJ, et al. 24.5 A 0.5V 1.27mW nose-on-a-chip for rapid diagnosis of ventilator-associated pneumonia (Conference Paper). IEEE International Solid-State Circuits Conference 2014, Volume 57, 2014, Article number 6757496, Pages 420–1.10.1109/ISSCC.2014.6757496Search in Google Scholar

27. Schmid D, Lang H, Marsch S, Gerber C, Hunziker P. Diagnosing disease by nanomechanical olfactory sensors – system design and clinical validation. Eur J Nanomed 2008;1:44–7.10.1515/EJNM.2008.1.1.44Search in Google Scholar

28. Centers for Disease Control and Prevention. Typhoid Fever. http://wwwnc.cdc.gov/travel/diseases/typhoid.Search in Google Scholar

29. Grimont PA, Weill FX. WHO Collaboration centre for reference and research on salmonella. Antigenic formulae of the Salmonella serovars. 9th ed. (http://www.pasteur.fr/sante/clre/cadrecnr/salmoms-index.html).Search in Google Scholar

30. Jones BD. Host responses to pathogenic Salmonella infection. Genes Dev 1997;11:679–87.10.1101/gad.11.6.679Search in Google Scholar

31. Levine MM, Tacket CO, Sztein MB. Host–Salmonella interaction: human trials. Microbes Infect 2001;3:1271–9.10.1016/S1286-4579(01)01487-3Search in Google Scholar

32. Parry CM, Hien TT, Dougan G, White NJ, Farrar JJ. Typhoid fever. N Engl J Med 2002;347:1770–82.10.1056/NEJMra020201Search in Google Scholar PubMed

33. Ravindran R, McSorley SJ. Tracking the dynamics of T-cell activation in response to Salmonella infection. Immunology 2005;114:450–8.10.1111/j.1365-2567.2005.02140.xSearch in Google Scholar PubMed PubMed Central

34. Marathe SA, Lahiri A, Negi VD, Chakravortty D. Typhoid fever & vaccine development: a partially answered question. Indian J Med Res 2012;135:161–9.Search in Google Scholar

35. Gotuzzo E, Echevarría J, Carrillo C, Sánchez J, Grados P, Maguiña C, et al. Randomized comparison of aztreonam and chloramphenicol in treatment of typhoid fever. Antimicrob Agents Chemother 1994;38:558–62.10.1128/AAC.38.3.558Search in Google Scholar PubMed PubMed Central

36. Gasem MH, Dolmans WM, Isbandrio BB, Wahyono H, Keuter M, Djokomoeljanto R. Culture of Salmonella typhi and Salmonella paratyphi from blood and bone marrow in suspected typhoid fever. Trop Geogr Med 1995;47:164–7.Search in Google Scholar

37. Brusch JL, Garvey T, Corales R, Schmitt SK. Typhoid fever. Medscape; Emedicine; updated April 2014 http://emedicine.medscape.com/article/231135-overview.Search in Google Scholar

38. Zhou L, Pollard AJ. A novel method of selective removal of human DNA improves PCR sensitivity for detection of Salmonella Typhi in blood samples. BMC Infectious Diseases 2012;12:164.10.1186/1471-2334-12-164Search in Google Scholar PubMed PubMed Central

39. Kumar G, Pratap CB, Mishra OP, Kumar K, Nath G. Use of urine with nested PCR targeting the flagellin gene (fliC) for diagnosis of typhoid fever. J Clin Microbiol 2012;50:1964–7.10.1128/JCM.00031-12Search in Google Scholar PubMed PubMed Central

40. Ahirwar SK, Pratap CB, Patel SK, Shukla VK, Singh IG, Mishra OP, et al. Acid exposure induces multiplication of Salmonella enterica serovar Typhi. J Clin Microbiol 2014;52:4330–3.10.1128/JCM.02275-14Search in Google Scholar PubMed PubMed Central

41. Bakr WM, El Attar LA, Ashour MS, El Toukhy AM. The dilemma of widal test – which brand to use a study of four different widal brands: a cross sectional comparative study. Ann Clin Microbiol Antimicrob 2011;10:7.10.1186/1476-0711-10-7Search in Google Scholar PubMed PubMed Central

42. Andualem G, Abebe T, Kebede N, Gebre-Selassie S, Mihret A, Alemayehu H, et al. A comparative study of Widal test with blood culture in the diagnosis of typhoid fever in febrile patients. BMC Res Notes 2014;7:653.10.1186/1756-0500-7-653Search in Google Scholar PubMed PubMed Central

43. Olopoenia LA, King AL. Widal agglutination test – 100 years later: still plagued by controversy. Postgrad Med J 2000;76: 80–4.10.1136/pmj.76.892.80Search in Google Scholar PubMed PubMed Central

44. Ley B, Thriemer K, Ame SM, Mtove GM, von Seidlein L, Amos B, et al. Assessment and comparative analysis of a rapid diagnostic test (Tubex®) for the diagnosis of typhoid fever among hospitalized children in rural Tanzania. BMC Infectious Diseases 2011;11:147.10.1186/1471-2334-11-147Search in Google Scholar PubMed PubMed Central

45. Keddy KH, Sooka A, Letsoalo ME, Hoyland G, Chaignat CL, Morrissey AB, et al. Sensitivity and specificity of typhoid fever rapid antibody tests for laboratory diagnosis at two sub-Saharan African sites. Bull World Health Organ 2011;89:640–7.10.2471/BLT.11.087627Search in Google Scholar PubMed PubMed Central

46. Liang L, Juarez S, Nga TV, Dunstan S, Nakajima-Sasaki R, Davies DH, et al. Immune profiling with a Salmonella Typhi antigen microarray identifies new diagnostic biomarkers of human typhoid. Sci Rep 2013;3:1043.10.1038/srep01043Search in Google Scholar PubMed PubMed Central

47. Lafleur L, Stevens D, McKenzie K, Ramachandran S, Spicar-Mihalic P, Singhal M, et al. Progress toward multiplexed sample-to-result detection in low resource settings using microfluidic immunoassay cards. Lab Chip 2012;12:1119–27.10.1039/c2lc20751fSearch in Google Scholar

48. Das R, Sharma MK, Rao VK, Bhattacharya BK, Garg I, Venkatesh V, et al. An electrochemical genosensor for Salmonella typhi on gold nanoparticles-mercaptosilane modified screen printed electrode. J Biotechnol 2014;188C:9–16.10.1016/j.jbiotec.2014.08.002Search in Google Scholar

49. Heijnen L, Medema G. Method for rapid detection of viable Escherichia coli in water using real-time NASBA. Water Res 2009;43:3124–32.10.1016/j.watres.2009.04.025Search in Google Scholar

50. Nataro J, Kaper JB. Diarrheagenic Escherichia coli. Clin Microbiol Rev 1998;11:142–201.10.1128/CMR.11.1.142Search in Google Scholar

51. Mayer HB, Wanke CA. Enteroaggregative Escherichia coli as a possible cause of diarrhea in an HIV-infected patient. N Engl J Med 1995;332:273–4.10.1056/NEJM199501263320417Search in Google Scholar

52. Gianantonio C, Vitacco M, Mendilaharzu F, Rutty A, Mendilaharzu J. The hemolytic-uremic syndrome. J Pediatr 1964;64:478–91.10.1016/S0022-3476(64)80337-1Search in Google Scholar

53. Tarr PI, Gordon CA, Chandler WL. 2005. Shiga-toxin-producing Esch- erichia coli and haemolytic uraemic syndrome. Lancet 365:1073–86.Search in Google Scholar

54. Salvadori M, Bertoni E. Update on hemolytic uremic syndrome: diagnostic and therapeutic recommendations. World J Nephrol 2013;2:56–76.10.5527/wjn.v2.i3.56Search in Google Scholar PubMed PubMed Central

55. Gupta SK, Keck J, Ram PK, Crump JA, Miller MA, Mintz ED. Part III. Analysis of data gaps pertaining to enterotoxigenic Escherichia coli infections in low and medium human development index countries, 1984–2005. Epidemiol Infect 2008;136:721–38.10.1017/S095026880700934XSearch in Google Scholar PubMed PubMed Central

56. Wennerås C, Erling V. Prevalence of Enterotoxigenic Escherichiacoli-associated diarrhoea and carrier state in the developing world. J Health Popul Nutr 2004;22:370–82.Search in Google Scholar

57. Qadri F, Svennerholm AM, Faruque AS, Sack RB. Enterotoxigenic Escherichia coli in developing countries: epidemiology, microbiology, clinical features, treatment, and prevention. Clin Microbiol Rev 2005;18:465–83.10.1128/CMR.18.3.465-483.2005Search in Google Scholar PubMed PubMed Central

58. Stoll BJ, Svennerholm AM, Gothefors L, Barua D, Huda S, Holmgren J. Local and systemic antibody responses to naturally acquired enterotoxigenic Escherichia coli diarrhea in an endemic area. J Infect Dis 1986;153:527–34.10.1093/infdis/153.3.527Search in Google Scholar PubMed

59. Isidean SD, Riddle MS, Savarino SJ, Porter CK. A systematic review of ETEC epidemiology focusing on colonization factor and toxin expression. Vaccine 2011;29:6167–78.10.1016/j.vaccine.2011.06.084Search in Google Scholar

60. Steinsland H, Valentiner-Branth P, Gjessing HK, Aaby P, Mølbak K, Sommerfelt H. Protection from natural infections with enterotoxigenic Escherichia coli: longitudinal study. Lancet 2003;362:286–91.10.1016/S0140-6736(03)13971-2Search in Google Scholar

61. Andrade FB, Gomes TA, Elias WP. A sensitive and specific molecular tool for detection of both typical and atypical enteroaggregative Escherichia coli. J Microbiol Meth 2014;106:16–8.10.1016/j.mimet.2014.07.030Search in Google Scholar PubMed

62. Tokuda K, Nishi J, Imuta N, Fujiyama R, Kamenosono A, Manago K, et al. Characterization of typical and atypical enteroaggregative escherichia coli in Kagoshima, Japan: biofilm formation and acid resistance. Microbiol Immunol 2010;54:320–9.10.1111/j.1348-0421.2010.00210.xSearch in Google Scholar PubMed

63. Gomes TA, Vieira MA, Abe CM, Rodrigues D, Griffin PM, Ramos SR. Adherence patterns and adherence-related DNA sequences in Escherichia coli isolates from children with and without diarrhea in Säo Paulo city, Brazil. J Clin Microbiol 1998;36:3609–13.10.1128/JCM.36.12.3609-3613.1998Search in Google Scholar PubMed PubMed Central

64. Grif K, Orth D, Dierich MP, Würzner R. Comparison of an immunochromatographic rapid test with enzyme-linked immunosorbent assay and polymerase chain reaction for the detection of Shiga toxins from human stool samples. Diagn Microbiol Infect Dis 2007;59:97–9.10.1016/j.diagmicrobio.2007.03.022Search in Google Scholar PubMed

65. Chart H, Cheasty T. Human infections with verocytotoxin-producing Escherichia coli O157–10 years of E. coli O157 serodiagnosis. J Med Microbiol 2008;57(Pt 11):1389–93.10.1099/jmm.0.2008/003632-0Search in Google Scholar PubMed

66. Melli LJ, Ciocchini AE, Caillava AJ, Vozza N, Chinen I, Rivas M, et al. Serogroup-specific bacterial engineered glycoproteins as novel antigenic targets for diagnosis of shiga toxin-producing-Escherichia coli-associated hemolytic-uremic syndrome. J Clin Microbiol 2015;53:528–38.10.1128/JCM.02262-14Search in Google Scholar PubMed PubMed Central

67. Agrawal S, Morarka A, Bodas D, Paknikar KM. Multiplexed detection of waterborne pathogens in circular microfluidics. Appl Biochem Biotechnol 2012;167:1668–77.10.1007/s12010-012-9597-8Search in Google Scholar PubMed

68. Jiang X, Jing W, Zheng L, Liu S, Wu W, Sui G. A continuous-flow high-throughput microfluidic device for airborne bacteria PCR detection. Lab Chip 2014;14:671–6.10.1039/C3LC50977JSearch in Google Scholar

69. Pandey CM, Sumana G, Tiwari I. Nanostructuring of hierarchical 3D cystine flowers for high-performance electrochemical immunosensor. Biosens Bioelectron 2014;61:328–35.10.1016/j.bios.2014.05.015Search in Google Scholar PubMed

70. Cheng P, Huang ZG, Zhuang Y, Fang LC, Huang H, Deng J, et al.. A novel regeneration-free E. coli O157:H7 amperometric immunosensor based on functionalised four-layer magnetic nanoparticles. Sensors and Actuators B 2014;204:561–56.10.1016/j.snb.2014.08.008Search in Google Scholar

71. Li Y, Deng J, Fang L, Yu K, Huang H, Jiang L, et al. A novel electrochemical DNA biosensor based on HRP-mimicking hemin/G-quadruplex wrapped GOx nanocomposites as tag for detection of Escherichia coli O157:H7. Biosens Bioelec 2015;63:1–6.10.1016/j.bios.2014.07.012Search in Google Scholar PubMed

72. Cao Q, Mahalanabis M, Chang J, Carey B, Hsieh C, Stanley A, et al. Microfluidic chip for molecular amplification of influenza A RNA in human respiratory specimens. PLoS One 2012;7:e33176.10.1371/journal.pone.0033176Search in Google Scholar PubMed PubMed Central

73. Stemple CC, Angus SV, Park TS, Yoon JY. Smartphone-based optofluidic lab-on-a-chip for detecting pathogens from blood. J Lab Autom 2014;19:35–41.10.1177/2211068213498241Search in Google Scholar PubMed

74. Zimmermann M, Delamarche E, Wolf M, Hunziker P. Modeling and optimization of high-sensitivity, low-volume microfluidic-based surface immunoassays. Biomed Microdevices 2005;7:99–110.10.1007/s10544-005-1587-ySearch in Google Scholar PubMed

75. Soni A, Pandey KM, Ray P, Jayaram B. Genomes to hits in silico – a country path today, a highway tomorrow: a case study of chikungunya. Curr Pharm Des 2013;19:4687–700.10.2174/13816128113199990379Search in Google Scholar PubMed PubMed Central

Received: 2015-1-30
Accepted: 2015-2-11
Published Online: 2015-3-10
Published in Print: 2015-1-1

©2015 by De Gruyter

Downloaded on 28.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ejnm-2015-0010/html
Scroll to top button