Biology subjects

Siu, G. K. H.

Publications and source records attributed to Siu, G. K. H..

3 recordsLinked to original sources

bioRxiv2021

Construction of lux-based promoter-reporter platforms in Mycobacterium bovis BCG for screening of drug repurposing small-molecule compounds as new anti-tuberculosis drugs

The emergence of multidrug-resistant strains and hyper-virulent strains of Mycobacterium tuberculosis are big therapeutic challenges for tuberculosis (TB) control. Repurposing bioactive small-molecule compounds has recently become a new therapeutic approach against TB. This study aimed to construct a rapid screening system to identify novel anti-TB agents from a library of small-molecule compounds. In this study, a total of 320 small-molecule compounds were used to screen for their ability to suppress the expression of a key virulence gene, phoP, of M. tuberculosis complex using luminescence (lux)-based promoter-reporter platforms. The minimum inhibitory and bactericidal concentrations on drug-resistant M. tuberculosis and cytotoxicity to human macrophage were determined. RNA-sequencing (RNA-seq) was conducted to determine the drug mechanisms of the selected compounds as novel antibiotics or anti-virulent agents against the M. tuberculosis complex. Six compounds displayed bactericidal activity against M. bovis BCG, in which Ebselen demonstrated the lowest cytotoxicity to macrophage and was considered as a potential antibiotic for TB. Another ten compounds did not inhibit the in vitro growth of the M. tuberculosis complex but down-regulated the expression of phoP specifically. Of them, ST-193 and ST-193 (hydrochloride) showed low cytotoxicity and could dysregulate the entire phoP-associated gene network, and thus identified as potential anti-virulence agents for M. tuberculosis. This study provides a rapid screening platform coupled with a systematic validation and eventually suggested one potential antibiotic and two anti-virulence agents for M. tuberculosis infections.

microbiology↗

bioRxiv2021

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

Bacterial pathogens that cannot be identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) are occasionally encountered in clinical laboratories. The 16S rRNA gene is often used for sequence-based analysis to identify these bacterial species. Nevertheless, traditional Sanger sequencing is laborious, time-consuming and low-throughput. Here, we compared two commercially available 16S rRNA gene sequencing tests, which are based on Illumina and Nanopore sequencing technologies, respectively, in their ability to identify the species of 172 clinical isolates that failed to be identified by MALDI-TOF MS. Sequencing data were analyzed by respective built-in analysis programs (MiSeq Reporter Software and Epi2me) and BLAST+ (v2.11.0). Their agreement with Sanger sequencing on species-level identification was determined. Discrepancies were resolved by whole-genome sequencing. The diagnostic accuracy of each workflow was determined using the composite sequencing result as the reference standard. Despite the high base-calling accuracy of Illumina sequencing, we demonstrated that the Nanopore workflow had a comparatively higher taxonomic resolution at the species level. Using built-in analysis algorithms, the concordance of Sanger 16S with the Illumina and Nanopore workflows was 33.14% and 87.79%, respectively. The agreement was 65.70% and 83.14%, respectively, when BLAST+ was used for analysis. Compared with the reference standard, the diagnostic accuracy of optimized Nanopore 16S was 96.36%, which was identical to Sanger 16S and was better than Illumina 16S (71.52%). The turnaround time of the Illumina workflow and the Nanopore workflow was 78h and 8.25h, respectively. The per-sample cost of the Illumina and Nanopore workflows was US$28.5 and US$17.7, respectively.

microbiology↗

bioRxiv2019

Targeted Sequencing Workflows for Comprehensive Drug Resistance Profiling of Mycobacterium tuberculosis cultures using Illumina MiSeq and Nanopore MinION: Comparison of analytical and diagnostic performance, turnaround time and cost

The emergence of Mycobacterium tuberculosis strains with complex drug resistance profiles necessitates a rapid and extensive drug susceptibility test for comprehensive guidance of patient treatment. Here, we developed two targeted-sequencing workflows based on Illumina MiSeq and Nanopore MinION for the prediction of drug resistance in M. tuberculosis towards 12 anti-tuberculous agents.\n\nA total of 163 M. tuberculosis cultured isolates collected from Hong Kong and Ethiopia were subjected to a multiplex PCR for simultaneous amplification of 19 drug-resistance associated genetic regions. The amplicons were then barcoded and sequenced in parallel on MiSeq and MinION in respective batch sizes of 24 and 12 samples. Both platforms successfully sequenced all samples with average depths of coverage of 1,127x and 1,649x respectively. Utilizing a self-developed Web-based bioinformatics pipeline, Bacteriochek-TB, for variant analysis, we found that the MiSeq and MinION result could achieve 100% agreement if variants with an allele frequency of <40% reported by MinION were excluded. For drug resistance prediction, both workflows achieved an average sensitivity of 94.8% and specificity of 98.0% when compared with phenotypic drug susceptibility test. The turnaround times for the MiSeq and MinION workflows were 38 and 15 hours, facilitating the delivery of treatment guidance at least 17-18 days earlier than pDST respectively. The higher cost per sample on the MinION platform (US$71.56) versus the MiSeq platform (US$67.83) was attributed to differences in batching capabilities.\n\nOur study demonstrated the interchangeability of MiSeq and MinION sequencing workflows for generation of accurate and actionable results for the treatment of tuberculosis.\n\nImportanceTB therapy involving different combinations of antibiotics have been introduced to address the issue of drug resistance. However, this practice has led to increasing numbers of M. tuberculosis with complex drug resistance profiles. Molecular assays for rapid and comprehensive drug resistance profiling of M. tuberculosis are lacking.\n\nHere, we described targeted-sequencing workflows based on Illumina MiSeq and Nanopore MinION for the detection of drug resistance mutations scattered across 19 genetic regions in M. tuberculosis. A bioinformatics pipeline was also developed to translate raw datasets into clinician-friendly reports that provide comprehensive genetic information for the prediction of drug resistance towards 12 antibiotics.\n\nThis is the first study to evaluate and compare the uses of Illumina and Nanopore platforms for diagnosis of drug-resistant tuberculosis. Remarkably, our diagnostic strategy is compatible with different sequencing platforms that can be applied in diagnostic centres with different levels of throughput and financial support for TB diagnosis.

microbiology↗