Joanne Voisey

Queensland University of Technology
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Articles (10)

Redox imbalance or oxidative stress that results from both environmental and genetic factors is observed in patients with schizophrenia. Therefore, identifying markers of oxidative stress in the early stages of psychosis and using antioxidant treatments as an adjuvant to antipsychotics has important implications. The reaction of p-N,N-dimethylaminobenzaldehyde (DMAB) with pyrrole moieties has been well studied for well over a century for use as a marker of oxidative stress dysregulation. Throughout this time, pyrroles have been investigated with varying veracity in urine extracts to identify elevated levels in patients diagnosed with schizophrenia. Since the 1960’s, various claims have been made with respect to what causes the colour change when DMAB is added to urine extracts. Whilst the substances from this reaction have not been fully elucidated, an objective look at most studies indicates that urobilinogen is likely to be one them. Urobilinogen has also been identified as a major interferent in our results. Both pyrroles and urobilinogen condense the DMAB reaction system (form condensation products) and are quite different. The urobilinogen detected in urine forms when gut microflora chemically reduces the bilirubin content of bile acids. In comparison, evidence suggests that the pyrrole fraction originates from the fragmentation of regulatory haem by reactive oxygen species (ROS) such as hydrogen peroxide and super and nitrous oxides. Clinical studies in our laboratories have established that pyrroles as a urine biomarker have specificity in detecting schizophrenia; however, caution must be applied as the readings are subject to interference by other DMAB active compounds that are present, such as urobilinogen. This review highlights the initial chemistry in isolating pyrroles and provides recommendations for standardised laboratory testing to ensure pyrroles are correctly measured and distinguished from other by-products.

Year:

2023

Year:

2022

Year:

2022

Chronic lung allograft dysfunction (CLAD) affects approximately 50% of all lung transplant recipients by 5 post-operative years and is the leading cause of death in lung transplant recipients. Early CLAD diagnosis or ideally prediction of CLAD is essential to enable early intervention before significant lung injury occurs. New technologies have emerged to facilitate biomarker discovery, including epigenetic modification and single-cell RNA sequencing. This review examines new and existing technologies for biomarker discovery and the current state of research on biomarkers for identifying lung transplant rejection.

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (19)

Brendan O'Sullivan

Queensland University of Technology

AUSTRALIA
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Lee Jones

Queensland University of Technology

AUSTRALIA
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Wole Akosile

-

AUSTRALIA
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Darrell Crawford

University of Queensland

AUSTRALIA
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Ariane Rung

Vice Chair & Associate Professor

University of Nebraska Medical Center

UNITED STATES
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Christiaan H. Vinkers

Amsterdam University Medical Centers

NETHERLANDS
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Sebastien Jacquemont

Principle Investigator, Professor, Medical Geneticist

Université de Montréal

CANADA
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John Gilmour

University of Southern Queensland

AUSTRALIA
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Charles Gillespie

Associate Professor

Emory University School of Medicine

UNITED STATES
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José Miguel Caldas-de-Almeida

NOVA University of Lisbon

PORTUGAL
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Simon Apte

Chief Scientist

Queensland Health

AUSTRALIA
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Lauren Lebois

Assistant Professor

Harvard Medical School

UNITED STATES
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stephan ripke

Charité - Universitätsmedizin Berlin

GERMANY
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Leila Cuttle

-

AUSTRALIA
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Seth Disner

University of Minnesota

UNITED STATES
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Karen-Inge Karstoft

Københavns Universitet

DENMARK
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Tony Parker

Associate Professor

Queensland University of Technology

AUSTRALIA
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Phillip Morris

Adjunct Professor

Queensland University of Technology

AUSTRALIA
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Rany Salem

Assistant Professor

University of California, San Diego

UNITED STATES
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