Publications by authors named "Rhian L Preece"

Article Synopsis
  • - Mood disorders impact millions globally and current diagnostic methods often lead to delays in accurate diagnosis, highlighting the need for improved approaches that can facilitate early identification of these conditions.
  • - The Delta Trial aims to create an algorithm that combines symptom data with proteomic biomarkers to enhance diagnostic accuracy, particularly to differentiate between bipolar disorder and major depressive disorder.
  • - Over 3200 people participated in the Delta Trial, with hundreds providing necessary blood samples and completing follow-up questionnaires, which supports the trial's potential in developing more effective diagnostic methods.
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Major depressive disorder (MDD) and bipolar disorder (BD) are leading causes of disability worldwide, yet many people remain undiagnosed, are misdiagnosed, and/or ineffectively treated. Diagnosis relies on the clinical assessment of symptoms, and there is currently no molecular or brain-imaging diagnostic test available. Identifying and validating protein biomarkers could provide a more accurate and objective means of diagnosis.

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A rapid method to determine quality for placental proteomic studies is required due to varying lengths of time between delivery and sampling in routine protocols. We developed a rapid 10 min LC-MS based scanning method to profile free peptides liberated from natural proteolytic degradation. The assay was applied to placenta samples obtained following refrigeration for varying time periods post-delivery (12 h, +24 h, +48 h and +72 h).

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