Biology subjects

Lee, W. W.

Publications and source records attributed to Lee, W. W..

5 recordsLinked to original sources

bioRxiv2024

Improving Nitrofurantoin Resistance Prediction in Escherichia coli from Whole Genome Sequence by Integrating NfsA/B Enzyme Assays

Nitrofurantoin resistance in Escherichia coli is primarily caused by mutations damaging two enzymes, NfsA and NfsB. Studies based on small isolate collections with defined nitrofurantoin MICs have found significant random genetic drift in nfsA and nfsB making it extremely difficult to predict nitrofurantoin resistance from whole genome sequence (WGS) where both genes are not obviously disrupted by nonsense or frameshift mutations or insertional inactivation. Here we report a WGS survey of 200 E. coli from community urine samples, of which 34 were nitrofurantoin resistant. We characterised individual non-synonymous mutations seen in nfsA and nfsB among this collection using complementation cloning and assays of NfsA/B enzyme activity in cell extracts. We definitively identified R203C, H11Y, W212R, A112E, A112T and A122T in NfsA and R121C, Q142H, F84S, P163H, W46R, K57E and V191G in NfsB as amino acid substitutions that reduce enzyme activity sufficiently to cause resistance. In contrast, E58D, I117T, K141E, L157F, A172S, G187D and A188V in NfsA and G66D, M75I, V93A and A174E in NfsB, are functionally silent in this context. We identified that 9/166 (5.4%) of nitrofurantoin susceptible isolates were "pre-resistant", defined as having loss of function mutations in nfsA or nfsB. Finally, using NfsA/B enzyme activity assay and proteomics we demonstrated that 9/34 (26.5%) of nitrofurantoin resistant isolates carried functionally wild-type nfsB or nfsB/nfsA. In these cases, enzyme activity was reduced through downregulated gene expression. Our biological understanding of nitrofurantoin resistance is greatly improved by this analysis, but is still insufficient to allow its reliable prediction from WGS data.

microbiology↗

bioRxiv2023

Harvesting and amplifying gene cassettes confers cross-resistance to critically important antibiotics

Amikacin and piperacillin/tazobactam are frequent antibiotic choices to treat bloodstream infection, which is commonly fatal and most often caused by bacteria from the family Enterobacterales. Here we show that two gene cassettes located side-by-side in and ancestral integron similar to In37 have been "harvested" by insertion sequence IS26 as a transposon that is already globally disseminated among the Enterobacterales. This transposon encodes the enzymes AAC(6)-Ib-cr and OXA-1, reported, respectively, as amikacin and piperacillin/tazobactam resistance mechanisms. However, by studying bloodstream infection isolates from 769 patients from, three hospitals serving a population of 1.5 million people in South West England, we show that increased enzyme production due to mutation in an IS26/In37-derived hybrid promoter or, more commonly, transposon copy number amplification is required to simultaneously remove these two key therapeutic options; in many cases leaving only the last-resort antibiotic, meropenem. These findings may help improve the accuracy of predicting piperacillin/tazobactam treatment failure, allowing stratification of patients to receive meropenem or piperacillin/tazobactam, which may improve outcome and slow the emergence of meropenem resistance.

microbiology↗

bioRxiv2022

Semaphorin3F reduces vascular endothelial and smooth muscle cell PI3K activation and decreases neointimal plaque formation

We previously conducted genetic analyses, and identified semaphorin signaling as associating with coronary artery disease. Of the semaphorins, human vascular expression profiling suggested SEMA3F as potentially linked to atherogenesis. In hyperlipidemic mice, SEMA3F reduced aortic lesion area, and increased fibrous cap endothelial content, leading to plaque stability. In a disturbed-flow-mediated endothelial dysfunction-driven lesion model, the absence of Sema3f increased plaques, further implicating SEMA3F in endothelial function. Monocyte adhesion to Sema3f-/- vascular endothelial cells (VECs) was elevated, driven by increased PI3K activity, leading to increased NF-{kappa}B-mediated elevation in VCAM1 and ICAM1 expression, suggesting that SEMA3F reduces VEC PI3K activity. Increased permeability led to increased monocyte transmigration through Sema3f-/- VECs, and mTOR phosphorylation was decreased, suppressing VE-cadherin expression and cell-cell adherens junction stability. Actomyosin fiber formation was decreased in Sema3f-/- VECs, which was reversed by PI3K inhibition, further implicating SEMA3F in adherens junction stability. In Sema3f-/- vascular smooth muscle cells (VSMCs), active PI3K was also increased. PI3K facilitates VSMC proliferation, migration, and pro-atherogenic phenotype switching, which were reduced by SEMA3F. In agreement, in a model of VSMC proliferation and migration-induced neointima formation, SEMA3F reduced plaques. Semaphorin3F is causally atheroprotective. SEMA3Fs suppression of VEC and VSMC PI3K activation may contribute to its atheroprotection.

physiology↗

bioRxiv2021

Transcriptome analysis of developmental stages of cocoa pod borer, Conopomorpha cramerella: A polyphagous insect pest of economic importance in Southeast Asia.

The cocoa pod borer, Conopomorpha cramerella (Snellen) is a serious pest in cocoa plantations in Southeast Asia. It causes significant losses in the crop. Unfortunately, genetic resources for this insect is extremely scarce. To improve these resources, we sequenced the transcriptome of C. cramerella representing the three stages of development, larva, pupa and adult moth using Illumina NovaSeq6000. Transcriptome assembly was performed by Trinity for all the samples. A total number of 147,356,088 high quality reads were obtained. Of these, 285,882 contigs were assembled. The mean contig size was 374 bp. Protein coding sequence (CDS) was extracted from the reconstructed transcripts by TransDecoder. Subsequently, BlastX and InterProScan were applied for homology search to make a prediction of the function of CDS in unigene. Additionally, we identified a number of genes that are involved in reproduction and development such as genes involved in general function processes in the insect. Genes found to be involved in reproduction such as porin, dsx, bol and fruitless were associated with sex determination, spermatogenesis and pheromone binding. Furthermore, transcriptome changes during development were analysed. There were 2,843 differentially expressed genes (DEG) detected between the larva and pupa samples. A total of 2,861 DEG were detected between adult and larva stage whereas between adult and pupa stage, 1,953 DEG were found. In conclusion, the transcriptomes could be a valuable genetic resource for identification of genes in C. cramerella and the study will provide putative targets for RNAi pest control.

developmental biology↗

bioRxiv2021

Data-driven analysis of COVID-19 reveals specific severity patterns distinct from the temporal immune response

Key immune signatures of SARS-CoV-2 infection may associate with either adverse immune reactions (severity) or simply an ongoing anti-viral response (temporality); how immune signatures contribute to severe manifestations and/or temporal progression of disease and whether longer disease duration correlates with severity remain unknown. Patient blood was comprehensively immunophenotyped via mass cytometry and multiplex cytokine arrays, leading to the identification of 327 basic subsets that were further stratified into more than 5000 immunotypes and correlated with 28 plasma cytokines. Low-density neutrophil abundance was closely correlated with hepatocyte growth factor levels, which in turn correlated with disease severity. Deep analysis also revealed additional players, namely conventional type 2 dendritic cells, natural killer T cells, plasmablasts and CD16+ monocytes, that can influence COVID-19 severity independent of temporal progression. Herein, we provide interactive network analysis and data visualization tools to facilitate data mining and hypothesis generation for elucidating COVID-19 pathogenesis.

immunology↗