Identification Of Clinical Samples Research Articles

Custom-Designed Probes for the Accurate Determination of Epidermal Growth Factor Receptor Mutations and Their Allelic Configuration.

The identification of single nucleotide polymorphisms (SNPs) is of paramount importance for disease diagnosis and clinical prognostication. In the context of nonsmall cell lung cancer (NSCLC), the emergence of resistance mutations, exemplified by the epidermal growth factor receptor (EGFR) T790 M and C797S, is intricately linked to the therapeutic efficacy of EGFR tyrosine kinase inhibitors (EGFR-TKIs). Herein, a highly efficient and specific SNP detection platform for T790 M and C797S mutations has been engineered through the integration of an asymmetric polymerase chain reaction (PCR) and an ingeniously tailored four-way junction (4WJ) probe. Notably, a molecular beacon (MB) probe was judiciously designed to discern the allelic configuration of these mutations. The administration of first- and third-generation EGFR-TKIs demonstrates therapeutic efficacy solely when the mutations are in the trans configuration, characterized by a low fluorescence signal. In contrast, significant fluorescence by the MB probe is indicative of the C797S mutation being in a cis arrangement with T790M, thereby rendering the cells refractory to the therapeutic interventions of both first- and third-generation EGFR-TKIs. The assay is capable of concurrently detecting two point-mutations and ascertaining their allelic positions in a single test within 1.5 h, enhancing both efficiency and simplicity. It also exhibits high accuracy in the identification of clinical samples, offering promising implications for therapeutic guidelines. By enabling tailored treatment plans based on specific genetic profiles, our approach not only advances the precision of NSCLC treatment strategies but also marks a significant contribution to personalized medicine.

Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli

The rise of antimicrobial resistance (AMR) is one of the greatest public health challenges, already causing up to 1.2 million deaths annually and rising. Current culture-based turnaround times for bacterial identification in clinical samples and antimicrobial susceptibility testing (AST) are typically 18–24 h. We present a novel proof-of-concept methodological advance in susceptibility testing based on the deep-learning of single-cell specific morphological phenotypes directly associated with antimicrobial susceptibility in Escherichia coli. Our models can reliably (80% single-cell accuracy) classify untreated and treated susceptible cells for a lab-reference fully susceptible E. coli strain, across four antibiotics (ciprofloxacin, gentamicin, rifampicin and co-amoxiclav). For ciprofloxacin, we demonstrate our models reveal significant (p < 0.001) differences between bacterial cell populations affected and unaffected by antibiotic treatment, and show that given treatment with a fixed concentration of 10 mg/L over 30 min these phenotypic effects correlate with clinical susceptibility defined by established clinical breakpoints. Deploying our approach on cell populations from six E. coli strains obtained from human bloodstream infections with varying degrees of ciprofloxacin resistance and treated with a range of ciprofloxacin concentrations, we show single-cell phenotyping has the potential to provide equivalent information to growth-based AST assays, but in as little as 30 min.

Design of optimal labeling patterns for optical genome mapping via information theory.

Optical genome mapping (OGM) is a technique that extracts partial genomic information from optically imaged and linearized DNA fragments containing fluorescently labeled short sequence patterns. This information can be used for various genomic analyses and applications, such as the detection of structural variations and copy-number variations, epigenomic profiling, and microbial species identification. Currently, the choice of labeled patterns is based on the available biochemical methods and is not necessarily optimized for the application. In this work, we develop a model of OGM based on information theory, which enables the design of optimal labeling patterns for specific applications and target organism genomes. We validated the model through experimental OGM on human DNA and simulations on bacterial DNA. Our model predicts up to 10-fold improved accuracy by optimal choice of labeling patterns, which may guide future development of OGM biochemical labeling methods and significantly improve its accuracy and yield for applications such as epigenomic profiling and cultivation-free pathogen identification in clinical samples. https://github.com/yevgenin/PatternCode.

Targeting the 16S rRNA Gene by Reverse Complement PCR Next-Generation Sequencing: Specific and Sensitive Detection and Identification of Microbes Directly in Clinical Samples.

The detection and accurate identification of bacterial species in clinical samples are crucial for diagnosis and appropriate antibiotic treatment. To date, sequencing of the 16S rRNA gene has been widely used as a complementary molecular approach when identification by culture fails. The accuracy and sensitivity of this method are highly affected by the selection of the 16S rRNA gene region targeted. In this study, we assessed the clinical utility of 16S rRNA reverse complement PCR (16S RC-PCR), a novel method based on next-generation sequencing (NGS), for the identification of bacterial species. We investigated the performance of 16S RC-PCR on 11 bacterial isolates, 2 polymicrobial community samples, and 59 clinical samples from patients suspected of having a bacterial infection. The results were compared to culture results, if available, and to the results of Sanger sequencing of the 16S rRNA gene (16S Sanger sequencing). By 16S RC-PCR, all bacterial isolates were accurately identified to the species level. Furthermore, in culture-negative clinical samples, the rate of identification increased from 17.1% (7/41) to 46.3% (19/41) when comparing 16S Sanger sequencing to 16S RC-PCR. We conclude that the use of 16S RC-PCR in the clinical setting leads to an increased sensitivity of detection of bacterial pathogens, resulting in a higher number of diagnosed bacterial infections, and thereby can improve patient care. IMPORTANCE The identification of the causative infectious pathogen in patients suspected of having a bacterial infection is essential for diagnosis and the start of appropriate treatment. Over the past 2 decades, molecular diagnostics have improved the ability to detect and identify bacteria. However, novel techniques that can accurately detect and identify bacteria in clinical samples and that can be implemented in clinical diagnostics are needed. Here, we demonstrate the clinical utility of bacterial identification in clinical samples by a novel method called 16S RC-PCR. Using 16S RC-PCR, we reveal a significant increase in the number of clinical samples in which a potentially clinically relevant pathogen is identified compared to the commonly used 16S Sanger method. Moreover, RC-PCR allows automation and is well suited for implementation in a diagnostic laboratory. In conclusion, the implementation of this method as a diagnostic tool is expected to result in an increased number of diagnosed bacterial infections, and in combination with adequate treatment, this could improve clinical outcomes for patients.

New, fast and cheap prediction tests for BRCA1 gene mutations identification in clinical samples

Despite significant progress in cancer therapy, cancer is still the second cause of mortality in the world. The necessity to make quick therapeutic decisions forces the development of procedures allowing to obtain a reliable result in a quick and unambiguous manner. Currently, detecting predictive mutations, including BRCA1, is the basis for effectively treating advanced breast cancer. Here, we present new insight on gene mutation detection. We propose a cheap BRCA1 mutation detection tests based on the surface plasmon resonance (SPR) or quartz crystal microbalance with energy dissipation (QCM-D) response changes recorded during a hybridization process of an oligonucleotide molecular probe with DNA fragments, with and without the BRCA1 mutation. The changes in the morphology of the formed DNA layer caused by the presence of the mutation were confirmed by atomic force microscopy. The unique property of the developed SPR and QCM tests is really short time of analysis: ca. 6 min for SPR and ca. 25 min for QCM. The proposed tests have been verified on 22 different DNA extracted from blood leukocytes collected from cancer patients: 17 samples from patients with various BRCA1 gene mutation variants including deletion, insertion and missense single-nucleotide and 5 samples from patients without any BRCA1 mutation. Our test is a response to the need of medical diagnostics for a quick, unambiguous test to identify mutations of the BRCA1 gene, including missense single-nucleotide (SNPs).

Targeting RNA with Next- and Third-Generation Sequencing Improves Pathogen Identification in Clinical Samples.

Fast and accurate identification of microbial pathogens is critical for the proper treatment of infections. Traditional culture‐based diagnosis in clinics is increasingly supplemented by metagenomic next‐generation‐sequencing (mNGS). Here, RNA/cDNA‐targeted sequencing (meta‐transcriptomics using NGS (mtNGS)) is established to reduce the host nucleotide percentage in clinic samples and by combining with Oxford Nanopore Technology (ONT) platforms (meta‐transcriptomics using third‐generation sequencing, mtTGS) to improve the sequencing time. It shows that mtNGS improves the ratio of microbial reads, facilitates bacterial identification using multiple‐strategies, and discovers fungi, viruses, and antibiotic resistance genes, and displaying agreement with clinical findings. Furthermore, longer reads in mtTGS lead to additional improvement in pathogen identification and also accelerate the clinical diagnosis. Additionally, primary tests utilizing direct‐RNA sequencing and targeted sequencing of ONT show that ONT displays important potential but must be further developed. This study presents the potential of RNA‐targeted pathogen identification in clinical samples, especially when combined with the newest developments in ONT.

Rapid, Sensitive and Reliable Ricin Identification in Serum Samples Using LC-MS/MS.

Ricin, a protein derived from the seeds of the castor bean plant (Ricinus communis), is a highly lethal toxin that inhibits protein synthesis, resulting in cell death. The widespread availability of ricin, its ease of extraction and its extreme toxicity make it an ideal agent for bioterrorism and self-poisoning. Thus, a rapid, sensitive and reliable method for ricin identification in clinical samples is required for applying appropriate and timely medical intervention. However, this goal is challenging due to the low predicted toxin concentrations in bio-fluids, accompanied by significantly high matrix interferences. Here we report the applicability of a sensitive, selective, rapid, simple and antibody-independent assay for the identification of ricin in body fluids using mass spectrometry (MS). The assay involves lectin affinity capturing of ricin by easy-to-use commercial lactose–agarose (LA) beads, following by tryptic digestion and selected marker identification using targeted LC–MS/MS (Multiple Reaction Monitoring) analysis. This enables ricin identification down to 5 ng/mL in serum samples in 2.5 h. To validate the assay, twenty-four diverse naive- or ricin-spiked serum samples were evaluated, and both precision and accuracy were determined. A real-life test of the assay was successfully executed in a challenging clinical scenario, where the toxin was identified in an abdominal fluid sample taken 72 h post self-injection of castor beans extraction in an eventual suicide case. This demonstrates both the high sensitivity of this assay and the extended identification time window, compared to similar events that were previously documented. This method developed for ricin identification in clinical samples has the potential to be applied to the identification of other lectin toxins.

The Genus Alistipes: Gut Bacteria With Emerging Implications to Inflammation, Cancer, and Mental Health.

Alistipes is a relatively new genus of bacteria isolated primarily from medical clinical samples, although at a low rate compared to other genus members of the Bacteroidetes phylum, which are highly relevant in dysbiosis and disease. According to the taxonomy database at The National Center for Biotechnology Information, the genus consists of 13 species: Alistipes finegoldii, Alistipes putredinis, Alistipes onderdonkii, Alistipes shahii, Alistipes indistinctus, Alistipes senegalensis, Alistipes timonensis, Alistipes obesi, Alistipes ihumii, Alistipes inops, Alistipes megaguti, Alistipes provencensis, and Alistipes massiliensis. Alistipes communis and A. dispar, and the subspecies A. Onderdonkii subspecies vulgaris (vs. onderdonkii subsp.) are the newest strains featured outside that list. Although typically isolated from the human gut microbiome various species of this genus have been isolated from patients suffering from appendicitis, and abdominal and rectal abscess. It is possible that as Alistipes spp. emerge, their identification in clinical samples may be underrepresented as novel MS-TOF methods may not be fully capable to discriminate distinct species as separate since it will require the upgrading of MS-TOF identification databases. In terms of pathogenicity, there is contrasting evidence indicating that Alistipes may have protective effects against some diseases, including liver fibrosis, colitis, cancer immunotherapy, and cardiovascular disease. In contrast, other studies indicate Alistipes is pathogenic in colorectal cancer and is associated with mental signs of depression. Gut dysbiosis seems to play a role in determining the compositional abundance of Alistipes in the feces (e.g., in non-alcoholic steatohepatitis, hepatic encephalopathy, and liver fibrosis). Since Alistipes is a relatively recent sub-branch genus of the Bacteroidetes phylum, and since Bacteroidetes are commonly associated with chronic intestinal inflammation, this narrative review illustrates emerging immunological and mechanistic implications by which Alistipes spp. correlate with human health.

Matrix-assisted laser desorption ionization-time of flight mass spectrometry-based method for accurate discrimination of Staphylococcus schleiferi subspecies

S. schleiferi is one of the main species isolated from canine otitis externa, pyoderma and from apparently healthy dogs. The species is divided into two subspecies, S. schleiferi schleiferi and S. schleiferi coagulans. MALDI-TOF MS does not distinguish correctly these two subspecies. This study aimed to identify biomarkers that could possibly discriminate Staphylococcus schleiferi subspecies by MALDI-TOF MS. Twelve strains (eight S. schleiferi schleiferi and four S. schleiferi coagulans) were firstly identified. Each isolate was submitted to a protein extraction protocol and subjected to spectrometry on Bruker Microflex LT mass spectrometer. Spectra were analyzed with the BioNumerics software v7.6. Our results showed that spectra clustered according to subspecies, and a set of five MALDI-TOF MS biomarkers were selected to enable the discrimination of S. schleiferi subspecies. In addition, these biomarkers were predicted to represent highly conserved proteins, which could contribute to the identification of subspecies-specific proteins that could be used for improved subspecies identification in clinical samples.

Production of a monoclonal antibody against a mannose-binding protein of Acanthamoeba culbertsoni and its localization

Amoebae from the genus Acanthamoeba are facultative pathogens of humans and other animals. In humans they most frequently infect the eye causing a sight threatening infection known as Acanthamoeba keratitis (AK), and also cause an often fatal encephalitis (GAE). A mannose-binding protein (MBP) has been identified as being important for Acanthamoeba infection especially in AK. This lectin has previously been characterized from Acanthamoeba castellanii as consisting of multiple 130 kDa subunits. MBP expression correlates with pathogenic potential and is expressed in a number of Acanthamoeba species. Here we report the purification of a similar lectin from Acanthamoeba culbertsoni and the production of a monoclonal antibody to it. The A. culbertsoni MBP was isolated by affinity chromatography using α-D-mannose agarose and has an apparent molecular weight of 83 kDa. The monoclonal antibody is an IgM that is useful in both western blots and immunofluorescence. We expect that this antibody will be useful in the study of the pathology of A. culbertsoni and in its identification in clinical samples.

Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study

BackgroundInfectious disease is the leading cause of death worldwide, and diagnosis of polymicrobial and fungal infections is increasingly challenging in the clinical setting. Conventionally, molecular detection is still the best method of species identification in clinical samples. However, the limitations of Sanger sequencing make diagnosis of polymicrobial infections one of the biggest hurdles in treatment. The development of massively parallel sequencing or next generation sequencing (NGS) has revolutionized the field of metagenomics, with wide application of the technology in identification of microbial communities in environmental sources, human gut and others. However, to date there has been no commercial application of this technology in infectious disease diagnostic settings.MethodsCredence Genomics Rapid Infection Detection™ test, is a molecular based diagnostic test that uses next generation sequencing of bacterial 16S rRNA gene and fungal ITS1 gene region to provide accurate identification of species within a clinical sample. Here we present a study comparing 16S and ITS1 metagenomic identification against conventional culture for clinical samples. Using culture results as gold standard, a comparison was conducted using patient specimens from a clinical microbiology lab.ResultsMetagenomics based results show a 91.8% concordance rate for culture positive specimens and 52.8% concordance rate with culture negative samples. 10.3% of specimens were also positive for fungal species which was not investigated by culture. Specificity and sensitivity for metagenomics analysis is 91.8 and 52.7% respectively.Conclusion16S based metagenomic identification of bacterial species within a clinical specimen is on par with conventional culture based techniques and when coupled with clinical information can lead to an accurate diagnostic tool for infectious disease diagnosis.

Discovery and validation of the tumor-suppressive function of long noncoding RNA PANDA in human diffuse large B-cell lymphoma through the inactivation of MAPK/ERK signaling pathway.

Diffuse large B-cell lymphoma (DLBCL) is one of the leading causes of cancer-related mortality, and responds badly to existing treatment. Thus, it is of urgent need to identify novel prognostic markers and therapeutic targets of DLBCL. Recent studies have shown that long non-coding RNAs (lncRNAs) play an important role in the development of cancer. By using the next generation HiSeq sequencing assay, we determined lncRNAs exhibiting differential expression between DLBCL patients and healthy controls. Then, RT-qPCR was performed for identification in clinical samples and cell materials, and lncRNA PANDA was verified to be down-regulated in DLBCL patients and have considerable diagnostic potential. In addition, decreased serum PANDA level was correlated to poorer clinical outcome and lower overall survival in DLBCL patients. Subsequently, we determined the experimental role of lncRNA PANDA in DLBCL progression. Luciferase reporter assay and chromatin immunoprecipitation assay suggested that lncRNA PANDA was induced by p53 and p53 interacts with the promoter region of PANDA. Cell functional assay further indicated that PANDA functioned as a tumor suppressor gene through the suppression of cell growth by a G0/G1 cell cycle arrest in DLBCL. More importantly, Cignal Signal Transduction Reporter Array and western blot assay showed that lncRNA PANDA inactivated the MAPK/ERK signaling pathway. In conclusion, our integrated approach demonstrates that PANDA in DLBCL confers a tumor suppressive function through inhibiting cell proliferation and silencing MAPK/ERK signaling pathway. Thus, PANDA may be a promising therapeutic target for patients with DLBCL.

PCR-RFLP: an alternative to culture (gold standard) in diagnosis of dermatophytes in dogs and cats

ABSTRACT. Dermatophytes are fungi keratinophilic and keratinolytic that causing dermatophytosis in humans and animal and, even with a variety of available methods, the laboratory diagnosis is still a difficulty in the veterinary clinic routine. The aim of this study was to evaluate the PCR-RFLP technique as an alternative method to the culture (gold standard) for the diagnosis of dermatophytes in dogs and cats. Were analyzed 150 samples from animals with skin disease. Culture and DNA extraction from fur and/or crusts were performed. To the PCR-RLFP positive controls were used colonies of M. canis (URM 6273), M. gypseum (URM 6921) and T. mentagrophytes (URM 6211), from the URM Micoteca - Department of Mycology, Biological Sciences Center of the Universidade Federal do Pernambuco. The primers used were ITS1 and ITS 4. The BseBI endonuclease was selected to obtain fragments pattern. The Kappa coefficient (K) was used to analyze the agreement between culture and PCR-RFLP. There was an almost perfect agreement (K = 0.813) between the results of culture and PCR-RFLP. The molecular technique showed an interesting potential to the dermatophytes identification in clinical samples from dogs and cats. However, further studies are required to guide the future of PCR-RFLP in the laboratory routine.

Gordonia: isolation and identification in clinical samples and role in biotechnology.

Gordonia spp. are members of the actinomycete family, and the environment, especially soil, is the natural habitat of this genus of bacteria. Gordonia spp. are important for two aspects: first, some Gordonia species cause a broad spectrum of diseases in healthy and immunocompromised individuals; second, these bacteria are capable of producing useful secondary metabolites, which may be used in various industries; therefore, discrimination of the genus Gordonia from other genera in the actinomycete family is important. Phenotypic and molecular techniques are necessary for accurate identification of Gordonia at the species level.

Detection, quantification and genetic variability of Mycoplasma hyopneumoniae from apparently healthy and pneumonic swine

&lt;p&gt;As diferenças moleculares entre as estirpes de &lt;em&gt;Mycoplasma hyopneumoniae &lt;/em&gt;presentes em pulmões de suínos com pneumonia tem sido estudadas. Porém, estudos comparativos relativos as estirpes presentes nos suínos aparentemente saudáveis não foram levados a cabo. O objetivo do estudo foi a detecção, quantificação e analise molecular de &lt;em&gt;M. hyopneumoniae &lt;/em&gt;nos pulmões suínos com e sem lesões pneumônicas. Para a detecção de &lt;em&gt;M. hyopneumoniae &lt;/em&gt;usaramse o PCR Multiplo (YAMAGUTI, 2008), o PCR a Tempo Real (STRAIT et al., 2008) e a amplificação de múltiplo VNTR (VRANCKX et al., 2011). A caracterização molecular das estirpes foi realizada mediante a análise do número de copias de VNTR em P97R1, P146R3, H2R1 e H4. O &lt;em&gt;M. hyopneumoniae &lt;/em&gt;foi detectado em amostras de suínos saudáveis e pneumônicos e a quantidade de &lt;em&gt;M. hyopneumoniae &lt;/em&gt;nas amostras positivas variou com o tipo de ensaio. O maior número de amostras positivas foi identificado pela amplificação de múltiplas VNTR combinado com a eletroforese de capilares. Usando o PCR a Tempo Real, 4.9*104 copias de genoma/mL de &lt;em&gt;M. hyopneumoniae &lt;/em&gt;foram detectadas em pulmões aparentemente saudáveis. Uma quantidade média de 3.9*106 copias de genoma/mL de &lt;em&gt;M. hyopneumoniae &lt;/em&gt;foi detectada em pulmões pneumônicos. A análise do número de copias de VNTR demonstrou uma elevada variabilidade.&lt;/p&gt;

Clinical PathoScope: rapid alignment and filtration for accurate pathogen identification in clinical samples using unassembled sequencing data.

BackgroundThe use of sequencing technologies to investigate the microbiome of a sample can positively impact patient healthcare by providing therapeutic targets for personalized disease treatment. However, these samples contain genomic sequences from various sources that complicate the identification of pathogens.ResultsHere we present Clinical PathoScope, a pipeline to rapidly and accurately remove host contamination, isolate microbial reads, and identify potential disease-causing pathogens. We have accomplished three essential tasks in the development of Clinical PathoScope. First, we developed an optimized framework for pathogen identification using a computational subtraction methodology in concordance with read trimming and ambiguous read reassignment. Second, we have demonstrated the ability of our approach to identify multiple pathogens in a single clinical sample, accurately identify pathogens at the subspecies level, and determine the nearest phylogenetic neighbor of novel or highly mutated pathogens using real clinical sequencing data. Finally, we have shown that Clinical PathoScope outperforms previously published pathogen identification methods with regard to computational speed, sensitivity, and specificity.ConclusionsClinical PathoScope is the only pathogen identification method currently available that can identify multiple pathogens from mixed samples and distinguish between very closely related species and strains in samples with very few reads per pathogen. Furthermore, Clinical PathoScope does not rely on genome assembly and thus can more rapidly complete the analysis of a clinical sample when compared with current assembly-based methods. Clinical PathoScope is freely available at: http://sourceforge.net/projects/pathoscope/.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2105-15-262) contains supplementary material, which is available to authorized users.

Specific primer amplification of the VP1 region directed by 5′ UTR sequence analysis: Enterovirus testing and identification in clinical samples from hand-foot-and-mouth disease patients

Many genotypes of the enterovirus (EV) pathogens can cause clinical hand-foot-and-mouth disease (HFMD). Therefore, rapid identification and monitoring of HFMD pathogens can be difficult, especially from the original clinical specimens. In this study, both universal pan-enterovirus and EV71/CA16 VP1-specific primer sets were designed and used to examine clinical specimens from HFMD patients. Based on the initial sequence analysis of the 5′-untanslated region (5′-UTR) and VP1 amplification products, additional primers for the VP1 region were redesigned for further genotyping of the remaining small portion non-EV71/non-CA16 specimens. With a known panel, it was possible to identify 15 out of 16 members using 5′-UTR sequence typing and VP1 typing, suggesting good detectability and genotyping of this method. One strain that was not typed by 5′-UTR was shown to be a recombinant virus. When this method was applied to examine clinical specimens from 44 suspected HFMD patients, 41 were detected as EV positive. In only one case, the VP1 sequence could not be identified. Four types of EVs, including CA16 (26/41, 63.4%), EV71-C4 (6/41, 14.6%), CA6 (5/41, 12.2%) and CA10 (3/41, 7.3%), were detected. In conclusion, 5′ UTR amplification sequencing and subsequent VP1 specific primer amplification ensures a high detection rate and good genotyping accuracy in the examination of clinical samples. This detection strategy can be used for routine evaluation and monitoring of HFMD to follow local trends of EV infection.

Rapid Detection ofMycoplasma synoviaeand Avian Reovirus in Clinical Samples of Poultry Using Multiplex PCR

Mycoplasma synoviae and avian reovirus (ARV) are associated with several disease syndromes in poultry and cause notable global economic losses in the poultry industry. Rapid and efficient diagnostics for these avian pathogens are important not only for disease control but also for prevention of clinical disease progression. However, current diagnostic methods used for surveillance of these diseases in poultry flocks are laborious and time-consuming, and they have low sensitivity. The multiplex PCR (mPCR) developed in this study has been proven to be both sensitive and specific for simultaneous M. synoviae and ARV detection and identification in clinical samples. To evaluate the mPCR assay, the diagnostic test was applied to different clinical samples from natural and experimental M. synoviae and ARV-infected poultry. Results were compared with serologic, single PCR, and immunofluorescence analyses. Tibiotarsal articulation could be the best target for simultaneous detection of M. synoviae and ARV infection. The detection limit by visualization of mPCR-amplified products was 100 pg for both pathogens. Overall, the mPCR developed and standardized in this research is a useful tool for diagnosis and screening and for surveillance and control of M. synoviae and ARV infection in poultry flocks.

Performance Assessment of the CapitalBio Mycobacterium Identification Array System for Identification of Mycobacteria

The CapitalBio Mycobacterium identification microarray system is a rapid system for the detection of Mycobacterium tuberculosis. The performance of this system was assessed with 24 reference strains, 486 Mycobacterium tuberculosis clinical isolates, and 40 clinical samples and then compared to the "gold standard" of DNA sequencing. The CapitalBio Mycobacterium identification microarray system showed highly concordant identification results of 100% and 98.4% for Mycobacterium tuberculosis complex (MTC) and nontuberculous mycobacteria (NTM), respectively. The sensitivity and specificity of the CapitalBio Mycobacterium identification array for identification of Mycobacterium tuberculosis isolates were 99.6% and 100%, respectively, for direct detection and identification of clinical samples, and the overall sensitivity was 52.5%. It was 100% for sputum, 16.7% for pleural fluid, and 10% for bronchoalveolar lavage fluid, respectively. The total assay was completed in 6 h, including DNA extraction, PCR, and hybridization. The results of this study confirm the utility of this system for the rapid identification of mycobacteria and suggest that the CapitalBio Mycobacterium identification array is a molecular diagnostic technique with high sensitivity and specificity that has the capacity to quickly identify most mycobacteria.

Early detection of cervical neoplasia by Raman spectroscopy

Early detection of malignant tumours, or their precursor lesions, improves patient outcome. High risk human papillomavirus (HPV), particularly HPV16, infection can lead to the development of uterine cervical neoplasia, and therefore, the identification in clinical samples of the effects of HPV infection may have clinical value. In this report, we apply Raman microspectroscopy to live and fixed cultured cells to discriminate between defined cell types. Raman spectra were acquired from primary human keratinocytes (PHK), PHK expressing the E7 gene of HPV 16 (PHK E7) and CaSki cells, an HPV16-containing cervical carcinoma-derived cell line. Averaged Raman spectra showed variations, mostly in peaks originating from DNA and proteins, consistent with HPV gene expression and cellular changes associated with neoplasia, in both live and fixed cells. Principal component analysis produced good discrimination between the cell types, with sensitivities of up to 100% for the comparison of fixed PHK and CaSki. These results demonstrate the ability of Raman spectroscopy to discriminate between cell types representing different stages of cervical neoplasia. More specifically, this technique was able to identify cells expressing the HPV 16 E7 gene accurately and objectively, suggesting that this approach may be of value in diagnosis. Moreover, the ability to detect the effects of the virus in fixed samples also demonstrates the compatibility of Raman spectroscopy with current cervical screening methods. (c) 2007 Wiley-Liss, Inc.