ARDC Research Link Australia

ORCID Profile
Orcid icon. 0000-0003-4752-5528

Current Organisations
Shenzhen Second People's Hospital , Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , City University of Hong Kong Department of Physics and Materials Science , Northumbria University

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Publications

Publication

Three Clinically Distinct Chronic Pediatric Airway Infections Share a Common Core Microbiota

Publisher: American Thoracic Society

Date: 09-2014

DOI: 10.1513/ANNALSATS.201312-456OC

Publication

Bacterial Signatures of Paediatric Respiratory Disease: An Individual Participant Data Meta-Analysis

Publisher: Frontiers Media SA

Date: 23-12-2021

DOI: 10.3389/FMICB.2021.711134

Abstract: Introduction: The airway microbiota has been linked to specific paediatric respiratory diseases, but studies are often small. It remains unclear whether particular bacteria are associated with a given disease, or if a more general, non-specific microbiota association with disease exists, as suggested for the gut. We investigated overarching patterns of bacterial association with acute and chronic paediatric respiratory disease in an in idual participant data (IPD) meta-analysis of 16S rRNA gene sequences from published respiratory microbiota studies. Methods: We obtained raw microbiota data from public repositories or via communication with corresponding authors. Cross-sectional analyses of the paediatric (& years) microbiota in acute and chronic respiratory conditions, with & case subjects were included. Sequence data were processed using a uniform bioinformatics pipeline, removing a potentially substantial source of variation. Microbiota differences across diagnoses were assessed using alpha- and beta- ersity approaches, machine learning, and biomarker analyses. Results: We ultimately included 20 studies containing in idual data from 2624 children. Disease was associated with lower bacterial ersity in nasal and lower airway s les and higher relative abundances of specific nasal taxa including Streptococcus and Haemophilus . Machine learning success in assigning s les to diagnostic groupings varied with anatomical site, with positive predictive value and sensitivity ranging from 43 to 100 and 8 to 99%, respectively. Conclusion: IPD meta-analysis of the respiratory microbiota across multiple diseases allowed identification of a non-specific disease association which cannot be recognised by studying a single disease. Whilst imperfect, machine learning offers promise as a potential additional tool to aid clinical diagnosis.

Publication

Intrinsic bioactivity of black phosphorus nanomaterials on mitotic centrosome destabilization through suppression of PLK1 kinase

Publisher: Springer Science and Business Media LLC

Date: 05-08-2021

DOI: 10.1038/S41565-021-00952-X

Abstract: Although nanomaterials have shown promising biomedical application potential, incomplete understanding of their molecular interactions with biological systems prevents their inclusion into mainstream clinical applications. Here we show that black phosphorus (BP) nanomaterials directly affect the cell cycle's centrosome machinery. BP destabilizes mitotic centrosomes by attenuating the cohesion of pericentriolar material and consequently leads to centrosome fragmentation within mitosis. As a result, BP-treated cells exhibit multipolar spindles and mitotic delay, and ultimately undergo apoptosis. Mechanistically, BP compromises centrosome integrity by deactivating the centrosome kinase polo-like kinase 1 (PLK1). BP directly binds to PLK1, inducing its aggregation, decreasing its cytosolic mobility and eventually restricting its recruitment to centrosomes for activation. With this mechanism, BP nanomaterials show great anticancer potential in tumour xenografted mice. Together, our study reveals a molecular mechanism for the tumoricidal properties of BP and proposes a direction for biomedical application of nanomaterials by exploring their intrinsic bioactivities.