Publications

Prof Du Toit Loots’ publications (last 5 years)

  • I. Olivier, D.T. Loots. 2012. A metabolomics approach to characterise and identify various Mycobacterium species.  Journal of Microbiological Methods, 88: 419-426. Impact factor 2.2
  • I. Olivier, D.T. Loots. 2012. Altered fatty acid metabolism due to rifampicin-resistance conferring mutations in the rpoB gene of M. tuberculosis: mapping the potential of pharmaco-metabolomics for global health and personalized medicine. Omics: A Journal of Integrative Biology, 16 (11) 596-603. Impact factor 2.9
  • I. Olivier, D.T. Loots. 2012. A comparison of two extraction methods for differentiating and characterising various Mycobacterium species and Pseudomonas aeruginosa using GC-MS metabolomics.  African Journal of Microbiology Research: 6 (13): 3159-3172. Impact factor 0.5
  • R.J. Meissner-Roloff, R.M. Warren, D.T. Loots. 2012. A metabolomics investigation of a hyper- and hypo-virulent phenotype of Beijing lineage M. tuberculosis. Metabolomics, 8:1194-1203. Impact factor 4.5
  •  J.C. Schoeman, I. Du Preez, Du T. Loots. 2012. A comparison of four sputum pre-extraction preparation methods for identifying and characterising Mycobacterium tuberculosis using GCxGC-TOFMS metabolomics.  Journal of Microbiological Methods: 91: 301-311. Impact factor 2.2
  • I. Du Preez, Du T. Loots. 2013. Detection limit for differentiating between various Mycobacterium species and Pseudomonas aeruginosa using gas chromatography-mass spectrometry (GC-MS) metabolomics: A comparison of two extraction methods. African Journal of Microbiology Research. 79: 797-801. Impact factor 0.5
  •  Du.T. Loots., R.J. Meissner-Roloff, M. Newton-Foot, N.C. Gey van Pittius. 2013. A metabolomics approach exploring the function of the ESX-3 type VII secretion system of M. smegmatis. Metabolomics. 9: 631-641. Impact factor 4.5.
  • I. du Preez, Du T. Loots.  New metabolite markers from sputum implicating various adaptations of the host to M. tuberculosis, and vice versa. 2013. Tuberculosis. 93: 330-337. Impact Factor 3.5
  • L. de Villiers, Du T. Loots. (2013). Using metabolomics for elucidating the mechanisms related to tuberculosis treatment failure, Current Metabolomics, 1(4): 306-317.
  • M.C. Zatu, J.M. Van Rooyen, Du T. Loots, E. Wentzel-Viljoen, M. Greeff, A.E. Schutte. 2014. Self-reported alcohol intake is a better estimate of 5-year change in blood pressure than biochemical markers in low resource settings: The PURE study. J Hypertens. 32:749-755. Impact Factor 4.7
  • Du T Loots. 2014. An altered M. tuberculosis metabolome induced by katG mutations resulting in isoniazid-resistance. Journal of Antimicrobial Agents and Chemotherapy, 58 (4): 2144-2149. Impact Factor 4.8
  • I. du Preez, Du T. Loots.  2014. Can metabolomics improve tuberculosis diagnosis? Metabolomics, 10: 877-886 Impact Factor 4
  • C.C. Swanepoel and Du T. Loots, “The Use of Functional Genomics in Conjunction with Metabolomics for Mycobacterium tuberculosis Research,” Disease Markers, vol. 2014, Article ID 124218, 12 pages, 2014. doi:10.1155/2014/124218. Impact factor 2.2
  • M.C. Zatu, J.M.van Rooyen, Du T. Loots, M. Greeff, A.E. Schutte. 2015. A comparison of the cardiometabolic profile of black South Africans with suspected non-alcoholic fatty liver disease (NAFLD) and excessive alcohol use. Alcohol. 49 (2): 165-72. doi: 10.1016/j.alcohol.2014.11.002. IF 2.255
  • P.T. Pisa, H.H. Vorster, A. Kruger, B. Margetts, Du T. Loots. 2015. Association of Alcohol Consumption with Specific Biomarkers: A Cross-sectional Study in South Africa. Journal of Health, Population and Nutrition.   33 (1), 146-156. Impact Factor 1.4
  • Du T Loots. 2016. New insights into the survival mechanisms of rifampicin resistant tuberculosis. Journal of Antimicrobial Chemotherapy. 71, 655-660. doi:10.1093/jac/dkv406. Impact Factor 5.3
  • L. Venter, P. Jansen van Rensburg, Du T. Loots, A. Vosloo, J.Z. Lindeque. 2016. Untargeted metabolite profiling of abalone using gas chromatography mass spectrometry. Food Analytical Methods. 9(5):1254-1261. DOI 10.1007/s12161-015-0285-5. Impact Factor 2.2
  • L. Luies, Du T. Loots. 2016. Tuberculosis metabolomics reveals adaptations of man and microbe in order to outcompete and survive. Metabolomics. 12 (40): 1-9. Impact factor 3.7
  • Du T. Loots C.C. Swanepoel, M. Newton-Foot, Gey van Pittius, Nicolaas C. A. 2016. Metabolomics investigation of the function of the ESX-1 gene cluster in mycobacteria. Microbial Pathogenesis. 100: 268-275. Impact Factor 1.9
  • D.T. Loots. (2016). TB or not TB? Improving the understanding and diagnosis of TB through metabolomics, Biomarkers in Medicine. 10 (10): 1025-1028. Impact factor 2.2

Dr Aurelia Williams’ publications (last 5 years)

  • Llewellyn E. Jalbert, Adam Elkhaled, Joanna J. Phillips, Evan Neill, Aurelia Williams, Jason C. Crane, Marram P. Olson, Annette M. Molinaro, Mitchel S. Berger, John Kurhanewicz, Sabrina M. Ronen, Susan M. Chang & Sarah J. Nelson. Metabolic Profiling of IDH Mutation and Malignant Progression in Infiltrating Glioma. Scientific Reports 7, Article number: 44792 (2017). doi:10.1038/srep44792
  • Aurelia Williams, Khanyisile Kgoadi, Francois Steffens, Paul Steenkamp and Debra Meyer (2014). UPLC-MS Metabonomics Reveals Perturbed Metabolites in HIV-Infected Sera. Current Metabolomics
  • Williams A, Steffens F, Reinecke C and Meyer D (2013). The Th1/Th2/Th17 cytokine profile of HIV-infected individuals: A multivariate cytokinomics approach, Cytokine, (61) 521-526.
  • Sitole L, Williams A, Meyer D (2013) Metabonomic analysis of HIV-infected biofluids, Mol Biosyst, (9)18 –28.
  • Williams A, Koekemoer G, Lindeque Z, Reinecke C and Meyer D (2012). Qualitative serum organic acid profiles of HIV infected individuals not on treatment, Metabolomics, Volume 8 (5) 808-818
  • Williams A and Meyer D (2009). Desferrioxamine as immunomodulatory agent during microorganism infection, Current Pharmaceutical Design, (15) 1261-1268.

Dr Shayne Mason’s publications (last 5 years)

  • Smuts, I., Van der Westhuizen, F.H., Louw, R., Mienie, L.J., Engelke, U.F., Wevers, R.A., Mason, S., Koekemoer, G. and Reinecke, C.J., 2013. Disclosure of a putative biosignature for respiratory chain disorders through a metabolomics approach. Metabolomics, 9(2), pp.379-391.
  • Mason, S., P Moutloatse, G., Marceline van Furth, A., Solomons, R., van Reenen, M., Reinecke, C. and Koekemoer, G., 2014. KEMREP: A new qualitative method for the assessment of an analyst’s ability to generate a metabolomics data matrix by gas chromatography–mass spectrometry. Current Metabolomics, 2(1), pp.15-26.
  • Mason, S., van Furth, A.M., Mienie, L.J., Engelke, U.F., Wevers, R.A., Solomons, R. and Reinecke, C.J., 2015. A hypothetical astrocyte–microglia lactate shuttle derived from a 1H NMR metabolomics analysis of cerebrospinal fluid from a cohort of South African children with tuberculous meningitis. Metabolomics, 11(4), pp.822-837.
  • Mason, S., Reinecke, C.J., Solomons, R. and Van Furth, A., 2016. Tuberculous meningitis in infants and children: Insights from nuclear magnetic resonance metabolomics. South African Journal of Science, 112(3-4), pp.1-8.
  • Mason, S., Reinecke, C.J., Kulik, W., Van Cruchten, A., Solomons, R. and van Furth, A.M.T., 2016. Cerebrospinal fluid in tuberculous meningitis exhibits only the L-enantiomer of lactic acid. BMC Infectious Diseases, 16(1), p.251.
  • Mason, S., van Furth, A.M.T., Solomons, R., Wevers, R.A., van Reenen, M. and Reinecke, C.J., 2016. A putative urinary biosignature for diagnosis and follow-up of tuberculous meningitis in children: outcome of a metabolomics study disclosing host–pathogen responses. Metabolomics, 12(7), pp.1-16.
  • van Aardt, W.J., le Roux, J.M., Lindeque, J.Z., Mason, S. and Louw, R., 2016. The effect of temperature on the respiration and metabolism of the African burrowing scorpion (Opistophthalmus latimanus). Comparative Biochemistry and Physiology Part D: Genomics and Proteomics, 20, pp.50-56.
  • Moutloatse, G.P., Bunders, M.J., van Reenen, M., Mason, S., Kuijpers, T.W., Engelke, U.F., Wevers, R.A. and Reinecke, C.J., 2016. Metabolic risks at birth of neonates exposed in utero to HIV-antiretroviral therapy relative to unexposed neonates: an NMR metabolomics study of cord blood. Metabolomics, 12(11), p.175.
  • Irwin, C., van Reenen, M., Mason, S., Mienie, L.J., Westerhuis, J.A. and Reinecke, C.J., 2016. Contribution towards a Metabolite Profile of the Detoxification of Benzoic Acid through Glycine Conjugation: An Intervention Study. PloS one, 11(12), p.e0167309.
  • Mason, S., 2017. Lactate shuttles in neuroenergetics — homeostasis, allostasis and beyond. Frontiers in Neuroscience, 11(43), 1-15.
  • Malatji, B.G., Meyer, H., Mason, S., Engelke, U.F., Wevers, R.A., van Reenen, M. and Reinecke, C.J., 2017. A diagnostic biomarker profile for fibromyalgia syndrome based on an NMR metabolomics study of selected patients and controls. BMC Neurology, 17(88), 1-15.
  • Mason, S., Reinecke, C.J., Solomons, R., Wevers, R.A. and Engelke, U.F., 2017. 1H NMR spectral identification of medication in cerebrospinal fluid of pediatric meningitis. Journal of Pharmaceutical and Biomedical Analysis, 143, pp.56-61.