scholarly journals Review of current diagnostic methods and advances in Helicobacter pylori diagnostics in the era of next generation sequencing

2019 ◽  
Vol 25 (32) ◽  
pp. 4629-4660 ◽  
Author(s):  
Daniel Pohl ◽  
Peter M Keller ◽  
Valentine Bordier ◽  
Karoline Wagner
2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Binghua Zhu ◽  
Jing Tang ◽  
Rong Fang ◽  
Xuejie Fei ◽  
Qing Wang ◽  
...  

Abstract Background We diagnosed a clinical case of pulmonary infection involving Mycobacterium tuberculosis and Tropheryma whipplei in a patient with acute respiratory distress syndrome. The diagnosis was assisted by metagenomic next-generation sequencing of bronchoalveolar lavage fluid. Case presentation A 44-year-old Han Chinese inmate was transferred to the emergency department because of dry cough, chest tightness, and shortness of breath. The patient’s body temperature rose to 39.3 °C following empirical cephalosporin treatment for 1 week. The blood CD4+/CD8+ ratio was 0.7, suggesting immunodeficiency. Routine microbiological tests were performed, and tuberculosis interferon gamma release assays were positive. Mycobacterium tuberculosis polymerase chain reaction was also positive. Chest computed tomography scan revealed miliary nodules and ground-glass opacifications, which were in accordance with tuberculosis. To fully examine the etiology, we performed routine laboratory tests and metagenomic sequencing, the results of which indicated the presence of Mycobacterium tuberculosis and Tropheryma whipplei. We administered anti-tuberculosis regimen in combination with trimethoprim/sulfamethoxazole. The patient recovered, with chest computed tomography scan showing absorption of lesions. Conclusions Compared with traditional diagnostic methods such as culture and serology, metagenomic next-generation sequencing has the advantage of detecting a wide array of microorganisms in a single test and therefore can be used for clinical diagnosis of rare pathogens and microbial coinfections. It is particularly useful for immunocompromised patients as they are more prone to infection by opportunistic microorganisms.


2014 ◽  
Vol 69 (7) ◽  
pp. 1796-1803 ◽  
Author(s):  
Tran Thanh Binh ◽  
Seiji Shiota ◽  
Rumiko Suzuki ◽  
Miyuki Matsuda ◽  
Tran Thi Huyen Trang ◽  
...  

2021 ◽  
Vol 9 (11) ◽  
pp. 2309
Author(s):  
Wang-Da Liu ◽  
Ting-Yu Yen ◽  
Po-Yo Liu ◽  
Un-In Wu ◽  
Prerana Bhan ◽  
...  

Background: Sepsis remains a common but fatal complication among patients with immune suppression. We aimed to investigate the performance of metagenomic next-generation sequencing (mNGS) compared with standard microbiological diagnostics in patients with hematologic malignancies. Methods: We performed a prospective study from June 2019 to December 2019. Adult patients with hematologic malignancies and a clinical diagnosis of sepsis were enrolled. Conventional diagnostic methods included blood cultures, serum galactomannan for Aspergillus, cryptococcal antigen and cytomegalovirus (CMV) viral loads. Blood samples for mNGS were collected within 24 h after hypotension developed. Results: Of 24 patients enrolled, mNGS and conventional diagnostic methods (blood cultures, serology testing and virus RT-PCR) reached comparable positive results in 9 cases. Of ten patients, mNGS was able to identify additional pathogens compared with conventional methods; most of the pathogens were virus. Conclusion: Our results show that mNGS may serve as adjunctive diagnostic tool for the identification of pathogens of hematologic patients with clinically sepsis.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 144-144
Author(s):  
Vera Grossmann ◽  
Alexander Kohlmann ◽  
Claudia Haferlach ◽  
Hans-Ulrich Klein ◽  
Martin Dugas ◽  
...  

Abstract Abstract 144 PicoTiterPlate (PTP) pyrosequencing allows the detection of low-abundance oncogene aberrations in complex samples even with low tumor content. Here, we compared deep sequencing data of two Next-Generation Sequencing (NGS) assays to detect molecular mutations using a PCR-based strategy and, in addition, to uncover inversions, translocations, and insertions in a targeted sequence enrichment workflow (454 Life Sciences, Roche Diagnostics Corporation, Branford, CT). First, we studied 95 patients (CMML, n=81; AML, n=6; MDS, n=3; MPS, n=3; ET, n=2) using the amplicon approach and investigated seven candidate genes with relevance in oncogenesis of myeloid malignancies: TET2, RUNX1, JAK2, MPL, KRAS, NRAS, and CBL. 43 primer pairs were designed to cover the complete coding regions of TET2, RUNX1 (beta isoform), and hotspot regions of the latter genes. In total, 4128 individual PCR reactions were performed with DNA isolated from bone marrow mononuclear cells, followed by product purification, fluorometric quantitation, and equimolar pooling of the corresponding 43 amplicon products to generate one single sequence library per patient. For sequencing, a 454 8-lane PTP was used applying standard FLX chemistry and representing one patient per lane. The median number of base pairs sequenced per patient was 9.23 Mb. For each amplicon a median of 840 reads was generated (coverage range: 485–1929 reads). As initial proof-of-concept analysis 27 of the 95 patients with known mutations (n=32) as detected by conventional sequencing or melting curve analyses were investigated (range of cells carrying the respective mutation: 1.1% for JAK2 V617F to 98.14% for TET2 C1464X). In all cases, 454 NGS confirmed results from routine diagnostic methods (GS Amplicon Variant Analyzer software version 2.0.01). We then investigated the remaining 69 CMML patients: In median, 2 variances (range 1–8 variances), i.e. differences in comparison to the reference sequence, per patient were detected. These variances included both point mutations in all candidate genes and large deletions (12-19 bp) in CBL, RUNX1, and TET2. Only 20/81 patients of the CMML-cohort (24.69%) were without any detectable mutation. Secondly, in a cohort of six AML bone marrow specimens a custom NimbleGen array (385K format; Madison, WI) was used to perform a targeted DNA sequence enrichment procedure. In total, capture probes spanning 1.91 Mb were designed to represent all coding regions of 92 target genes (1559 exons) with relevance in hematological malignancies (e.g. KIT, NF1, TP53, BCR, ABL1, NPM1, or FLT3). In addition, the complete genomic regions were targeted for RUNX1, CBFB, and MLL. For sequencing, 454 Titanium chemistry was applied, loading three patients per lane on a 2-lane PTP including three molecular identifiers (MIDs) each. Data analysis was performed using the GS Reference Mapper software version 2.0.01. For the enrichment assay, the median enrichment of the targeted genomic loci was 207-fold, as assessed by ligation-mediated LM-PCR. Overall, 1,098,132 reads were generated in the two lanes, yielding a total sequence length of 386,097,740 bases. In median, 96.52% of the sequenced bases mapped against the human genome, and 66.0% were derived from the customized NimbleGen array capture probes, resulting in a median coverage of 18.7-fold . With this method it was possible to detect and confirm point mutations (KIT, FLT3-TKD, and KRAS) and insertions (FLT3-ITD). Moreover, by capturing chimeric DNA fragments and generating reads mapping to both fusion partners this approach detected balanced aberrations, i.e. inv(16)(p13q22) and the translocations t(8;21)(q22;q22) or t(9;11)(p22;q23). In conclusion, both assays to specifically sequence targeted regions with oncogenic relevance on a NGS platform demonstrated promising results and are feasible. The amplicon approach is more suitable for detection of mutations in a routine setting and is ideally suited for large genes such as TET2, ATM, and NF1, which are labor-intensive to sequence conventionally. The array-based capturing assay is characterized by a complex and time-consuming workflow with low-throughput. However, the ability to detect balanced genomic aberrations which are detectable thus far only by cytogenetics and FISH has the potential to become an important diagnostic assay, especially in tumors in which cytogenetics can not be applied successfully. Disclosures: Grossmann: MLL Munich Leukemia Laboratory: Employment. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership. Dicker:MLL Munich Leukemia Laboratory: Employment. Kazak:MLL Munich Leukemia Laboratory: Employment. Schindela:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership.


Author(s):  
Yi-Yi Qian ◽  
Hong-Yu Wang ◽  
Yang Zhou ◽  
Hao-Cheng Zhang ◽  
Yi-Min Zhu ◽  
...  

Pulmonary infections are among the most common and important infectious diseases due to their high morbidity and mortality, especially in older and immunocompromised individuals. However, due to the limitations in sensitivity and the long turn-around time (TAT) of conventional diagnostic methods, pathogen detection and identification methods for pulmonary infection with greater diagnostic efficiency are urgently needed. In recent years, unbiased metagenomic next generation sequencing (mNGS) has been widely used to detect different types of infectious pathogens, and is especially useful for the detection of rare and newly emergent pathogens, showing better diagnostic performance than traditional methods. There has been limited research exploring the application of mNGS for the diagnosis of pulmonary infections. In this study we evaluated the diagnostic efficiency and clinical impact of mNGS on pulmonary infections. A total of 100 respiratory samples were collected from patients diagnosed with pulmonary infection in Shanghai, China. Conventional methods, including culture and standard polymerase chain reaction (PCR) panel analysis for respiratory tract viruses, and mNGS were used for the pathogen detection in respiratory samples. The difference in the diagnostic yield between conventional methods and mNGS demonstrated that mNGS had higher sensitivity than traditional culture for the detection of pathogenic bacteria and fungi (95% vs 54%; p<0.001). Although mNGS had lower sensitivity than PCR for diagnosing viral infections, it identified 14 viral species that were not detected using conventional methods, including multiple subtypes of human herpesvirus. mNGS detected viruses with a genome coverage >95% and a sequencing depth >100× and provided reliable phylogenetic and epidemiological information. mNGS offered extra benefits, including a shorter TAT. As a complementary approach to conventional methods, mNGS could help improving the identification of respiratory infection agents. We recommend the timely use of mNGS when infection of mixed or rare pathogens is suspected, especially in immunocompromised individuals and or individuals with severe conditions that require urgent treatment.


2015 ◽  
Vol 59 (4) ◽  
pp. 2343-2348 ◽  
Author(s):  
Tran Thanh Binh ◽  
Rumiko Suzuki ◽  
Tran Thi Huyen Trang ◽  
Dong Hyeon Kwon ◽  
Yoshio Yamaoka

ABSTRACTMetronidazole resistance is a key factor associated withHelicobacter pyloritreatment failure. Although this resistance is mainly associated with mutations in therdxAandfrxAgenes, the question of whether metronidazole resistance is caused by the inactivation offrxAalone is still debated. Furthermore, it is unclear whether there are other mutations involved in addition to the two genes that are associated with resistance. A metronidazole-resistant strain was cultured from the metronidazole-susceptibleH. pyloristrain 26695-1 by exposure to low concentrations of metronidazole. The genome sequences of both susceptible and resistantH. pyloristrains were determined by Illumina next-generation sequencing, from which putative candidate resistance mutations were identified. Natural transformation was used to introduce PCR products containing candidate mutations into the susceptible parent strain 26695-1, and the metronidazole MIC was determined for each strain. Mutations infrxA(hp0642),rdxA(hp0954), andrpsU(hp0562) were confirmed by the Sanger method. The mutated sequence inrdxAwas successfully transformed into strain 26695-1, and the transformants showed resistance to metronidazole. The transformants containing a single mutation inrdxAshowed a low MIC (16 mg/liter), while those containing mutations in bothrdxAandfrxAshowed a higher MIC (48 mg/liter). No transformants containing a single mutation infrxAorrpsUwere obtained. Next-generation sequencing was used to identify mutations related to drug resistance. We confirmed that the mutations inrdxAare mainly associated with metronidazole resistance, and mutations infrxAare able to enhanceH. pyloriresistance only in the presence ofrdxAmutations. Moreover, mutations inrpsUmay play a role in metronidazole resistance.


2013 ◽  
Vol 144 (5) ◽  
pp. S-334 ◽  
Author(s):  
Akira Iwamoto ◽  
Toshihito Tanahashi ◽  
Rina Okada ◽  
Yukio Yoshida ◽  
Kaoru Kikuchi ◽  
...  

2021 ◽  
Author(s):  
Lyora A Cohen-Aharonov ◽  
Annie Rebibo-Sabbah ◽  
Adar Yaacov ◽  
Roy Z Granit ◽  
Merav Strauss ◽  
...  

The identification of SARS-CoV-2 variants across the globe and their implications on the outspread of the pandemic, infection potential and resistance to vaccination, requires modification of the current diagnostic methods to map out viral mutations rapidly and reliably. Here, we demonstrate that integrating DNA barcoding technology, sample pooling and Next Generation Sequencing (NGS) provide an applicable solution for large-population viral screening combined with specific variant analysis. Our solution allows high throughput testing by barcoding each sample, followed by pooling of test samples using a multi-step procedure. First, patient-specific barcodes are added to the primers used in a one-step RT-PCR reaction, amplifying three different viral genes and one human housekeeping gene (as internal control). Then, samples are pooled, purified and finally, the generated sequences are read using an Illumina NGS system to identify the positive samples with a sensitivity of 82.5% and a specificity of 97.3%. Using this solution, we were able to identify six known and one unknown SARS-CoV-2 variants in a screen of 960 samples out of which 258 (27%) were positive for the virus. Thus, our diagnostic solution integrates the benefits of large population and epidemiological screening together with sensitive and specific identification of positive samples including variant analysis at a single nucleotide resolution.


Sign in / Sign up

Export Citation Format

Share Document