ORCID Profile
0000-0002-3207-2434
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Biochemistry and Cell Biology | Analytical Biochemistry | Systems Biology | Cell Metabolism
Expanding Knowledge in the Biological Sciences | Zoonoses | Expanding Knowledge in the Mathematical Sciences |
Publisher: Public Library of Science (PLoS)
Date: 05-12-2012
Publisher: Springer Science and Business Media LLC
Date: 04-12-2012
Publisher: Springer Science and Business Media LLC
Date: 21-11-2014
Publisher: Elsevier BV
Date: 05-2015
DOI: 10.1016/J.CLINBIOCHEM.2015.02.004
Abstract: Metabolomics is defined as the comprehensive study of all low molecular weight biochemicals, (metabolites) present in an organism. Using a systems biology approach, metabolomics in umbilical cord blood (UCB) may offer insight into many perinatal disease processes by uniquely detecting rapid biochemical pathway alterations. In vitro haemolysis is a common technical problem affecting UCB s ling in the delivery room, and can h er metabolomic analysis. The extent of metabolomic alteration which occurs in haemolysed s les is unknown. Visual haemolysis was designated by the laboratory technician using a standardised haemolysis index colour chart. The metabolomic profile of haemolysed and non-haemolysed UCB serum s les from 69 healthy term infants was compared using both (1)H-NMR and targeted DI and LC-MS/MS approach. We identified 43 metabolites that are significantly altered in visually haemolysed UCB s les, acylcarnitines (n=2), glycerophospholipids (n=23), sphingolipids (n=7), sugars (n=3), amino acids (n=4) and Krebs cycle intermediates (n=4). This information will be useful for researchers in the field of neonatal metabolomics to avoid false findings in the presence of haemolysis, to ensure reproducible and credible results.
Publisher: Oxford University Press (OUP)
Date: 02-05-2012
DOI: 10.1093/NAR/GKS374
Publisher: Springer Science and Business Media LLC
Date: 09-1995
DOI: 10.1007/BF00211777
Abstract: To determine the horizontal and vertical locations and dimensions of the mental foramen (MF) in digital panoramic images (DPI), and to evaluate the effect of impacted mandibular cuspids (IMC) on the position of the MF. 715 Digital panoramic images were obtained from the archives of oral radiology clinics of the College of Dentistry, Jouf University. Altogether 236 DPI that met inclusion and exclusion criteria were investigated. One specialist principal investigator examined and analyzed the DPI on a computer screen for horizontal location, average position, and vertical location of the MF. The most common horizontal location of MF with the apices of the teeth in the non-impacted group (NIG) was found to be c = 64.70%, and in the impacted group (IG) d = 47.10%. The average magnitude of MF relative to the apex of second bicuspid in the NIG was found to be 47.10% on the mesial side, and in IG 44.10% on the distal side. The average vertical distance of MF from the lower border of the mandible to the lower border of MF (DLM) in NIG was 14.13 mm (SD ± 1.75 mm), and in IG was 16.85 mm (SD ± 3.06 mm). The average vertical distance of MF from the alveolar crest to the superior border of MF (DAC) in NIG was 6.56 mm (SD ± 2.02 mm), and in IG was 6.67 mm (SD ± 2.28 mm). The impacted mandibular cuspid has a definite influence on the location and position of the MF.
Publisher: Oxford University Press (OUP)
Date: 29-10-2013
DOI: 10.1093/NAR/GKT960
Publisher: MDPI AG
Date: 06-08-2020
DOI: 10.3390/BIOM10081157
Abstract: Toxocariasis is a zoonotic disease affecting humans that is predominantly caused by Toxocara canis and T. cati, primarily parasites of dogs and cats, respectively. Toxocara generally establishes long-term infections by co-opting its host’s physiological processes, while at the same time exploiting the nutritional environment. Adult stage T. canis reside in the gut of the definitive canine host where they employ a suite of strategies to combat intestinal immune responses by actively producing and releasing excretory-secretory products (ESPs). The protein component of T. canis ESPs has been widely studied, but characterisation of the non-protein ESP complement remains neglected. To characterize the secreted metabolome of Toxocara ESPs and to shed light on the parasite’s metabolic processes, we profiled the ESPs of T. canis using both gas chromatography (GC) and liquid chromatography (LC) mass spectrometry approaches. We successfully identified 61 small molecules, including 41 polar metabolites, 14 medium-long chain fatty acids (MLCFAs) and six short chain fatty acids (SCFAs). We identified talose, stearic acid and isovalerate as the major compounds belonging to the polar, MLCFA and SCFA chemical classes, respectively. Most of the 61 identified metabolites appear to have been produced by T. canis via three distinct metabolic pathways - fatty acid, amino acid and carbohydrate metabolism. The majority of the identified ESPs have known biological properties, especially as immunomodulators. However, there is limited/no information on the biological roles or applications of 31 ESP biomolecules, suggesting that these may have novel activities that merit further investigation.
Publisher: Springer Science and Business Media LLC
Date: 21-10-2022
DOI: 10.1186/S12302-022-00680-6
Abstract: The NORMAN Association ( www.norman-network.com/ ) initiated the NORMAN Suspect List Exchange (NORMAN-SLE ds/SLE/ ) in 2015, following the NORMAN collaborative trial on non-target screening of environmental water s les by mass spectrometry. Since then, this exchange of information on chemicals that are expected to occur in the environment, along with the accompanying expert knowledge and references, has become a valuable knowledge base for “suspect screening” lists. The NORMAN-SLE now serves as a FAIR (Findable, Accessible, Interoperable, Reusable) chemical information resource worldwide. The NORMAN-SLE contains 99 separate suspect list collections (as of May 2022) from over 70 contributors around the world, totalling over 100,000 unique substances. The substance classes include per- and polyfluoroalkyl substances (PFAS), pharmaceuticals, pesticides, natural toxins, high production volume substances covered under the European REACH regulation (EC: 1272/2008), priority contaminants of emerging concern (CECs) and regulatory lists from NORMAN partners. Several lists focus on transformation products (TPs) and complex features detected in the environment with various levels of provenance and structural information. Each list is available for separate download. The merged, curated collection is also available as the NORMAN Substance Database (NORMAN SusDat). Both the NORMAN-SLE and NORMAN SusDat are integrated within the NORMAN Database System (NDS). The in idual NORMAN-SLE lists receive digital object identifiers (DOIs) and traceable versioning via a Zenodo community ( ommunities/norman-sle ), with a total of 40,000 unique views, 50,000 unique downloads and 40 citations (May 2022). NORMAN-SLE content is progressively integrated into large open chemical databases such as PubChem ( pubchem.ncbi.nlm.nih.gov/ ) and the US EPA’s CompTox Chemicals Dashboard ( ashboard/ ), enabling further access to these lists, along with the additional functionality and calculated properties these resources offer. PubChem has also integrated significant annotation content from the NORMAN-SLE, including a classification browser ( lassification/#hid=101 ). The NORMAN-SLE offers a specialized service for hosting suspect screening lists of relevance for the environmental community in an open, FAIR manner that allows integration with other major chemical resources. These efforts foster the exchange of information between scientists and regulators, supporting the paradigm shift to the “one substance, one assessment” approach. New submissions are welcome via the contacts provided on the NORMAN-SLE website ( ds/SLE/ ).
Publisher: MDPI AG
Date: 18-04-2019
Abstract: The use of multiple omics techniques (i.e., genomics, transcriptomics, proteomics, and metabolomics) is becoming increasingly popular in all facets of life science. Omics techniques provide a more holistic molecular perspective of studied biological systems compared to traditional approaches. However, due to their inherent data differences, integrating multiple omics platforms remains an ongoing challenge for many researchers. As metabolites represent the downstream products of multiple interactions between genes, transcripts, and proteins, metabolomics, the tools and approaches routinely used in this field could assist with the integration of these complex multi-omics data sets. The question is, how? Here we provide some answers (in terms of methods, software tools and databases) along with a variety of recommendations and a list of continuing challenges as identified during a peer session on multi-omics integration that was held at the recent ‘Australian and New Zealand Metabolomics Conference’ (ANZMET 2018) in Auckland, New Zealand (Sept. 2018). We envisage that this document will serve as a guide to metabolomics researchers and other members of the community wishing to perform multi-omics studies. We also believe that these ideas may allow the full promise of integrated multi-omics research and, ultimately, of systems biology to be realized.
Publisher: Springer Science and Business Media LLC
Date: 15-11-2021
Publisher: American Chemical Society (ACS)
Date: 20-01-2016
Publisher: Elsevier BV
Date: 11-2018
DOI: 10.1016/J.ACA.2018.05.031
Abstract: Metabolomic analysis of human biospecimens had progressed quickly over the past decade. Technological and methodological advances have led to the comprehensive characterization of human serum, urine, cerebrospinal fluid and saliva metabolomes, and the creation of freely available metabolome reference databases. Unfortunately, the characterization of the human fecal metabolome still lags behind these other metabolomes in terms of the availability of standardized methods and freely available resources. The purpose of this review is to bring the knowledge of the human fecal metabolome, and the methods to characterize it, to the same level as most other human biofluid metabolomes. More specifically, this review is intended to critically assess the field of fecal metabolomics and to provide a comprehensive review of the current state of knowledge with regard to the protocols, technologies and remaining challenges in fecal metabolite analysis. In addition to providing an overview of fecal metabolomics and some consensus recommendations, we also present the human fecal metabolome database (HFMDB - www.fecalmetabolome.ca), a freely available, manually curated resource that currently contains over 6000 identified human fecal metabolites. Each entry in the HFMDB includes extensive chemical information, metabolite descriptions and reference data in the same format as the Human Metabolome Database (HMDB).
Start Date: 12-2022
End Date: 12-2026
Amount: $789,650.00
Funder: Australian Research Council
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