Aconitine and related alkaloids are potent cardiotoxins and neurotoxins found in the Aconitum species used in traditional Chinese medicine (TCM), such as 'Chuanwu', 'Caowu' and 'Fuzi'. They pose significant health risks when used inappropriately without professional supervision. Patients with acute aconite poisoning often present with a combination of cardiovascular, neurological, and gastrointestinal toxicities, which can occur after an overdose, inadequate processing of the aconite roots, erroneous use of tincture preparations, and contamination or substitution of other herbs with aconite roots. Timely diagnosis of aconite poisoning remains challenging due to the long laboratory turnaround time. The aim of this study is to develop an aptamer-based lateral flow device (LFD) for point-of-care detection of aconitine and its metabolites (benzoylaconine and aconine) and evaluate its diagnostic performance.
In this study, the investigators will first develop an aptamer-based LFD for point-of-care detection of aconitine, benzoylaconine and aconine in human urine samples. The investigators will perform in vitro selection of binding aptamers for each of the target alkaloids (aconitine, benzoylaconine and aconine) using systematic evolution of ligands by exponential enrichment (SELEX). High throughput sequencing (HTS) and bioinformatics analysis will be performed to characterise the selected aptamers. The selected aptamers will be integrated into ELISA and LFD competition assay. Spiked samples (80 samples, including 20 for each target alkaloids and 20 controls) will be used for calibrating the LFD reader and determining the cutoff points. The investigators will then conduct a cross-sectional study on stored human urine samples to evaluate the diagnostic performance of the newly developed LFD. The gold standard will be the independent laboratory analysis by the Centre for PanorOmic Sciences (CPOS) at The University of Hong Kong. Patient urine samples will be stored at 4°C in emergency departments or Chinese medicine clinics. The samples will then be transported to the Laboratory Block of the School of Biomedical Sciences by our research staff within 12 hours of collection. LFD assays will be performed in batch with 5 replicates. 150 µL aliquots of patients' urine sample will be thawed on ice and added to the LFD sample pad. After the flow has completed (approximately 5 minutes), a LFD reader will be used to scan the line intensities for statistical analysis and diagnosis. The operators of the LFD assays will be blinded to the CPOS analytic results. The primary outcome is the accuracy of the newly developed LFD in detecting aconitine, benzoylaconine and aconine in human urine samples. The secondary outcomes include other diagnostic metrics, such as sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios, the area under the receiver operating characteristic curve and their respective 95% confidence intervals (CIs). The hypothsis is that the LFD can achieve a high diagnostic accuracy, with a sum of the lower bounds of sensitivity and specificity 95% CIs exceeding 1.75. The study will be conducted in full compliance with the Declaration of Helsinki. The risks of participating in this study will be minimal since the recruited participants only need to submit urine samples. This study will also adhere to the safety guidelines of the University of Hong Kong Biological Safety Policy.
Study Type
OBSERVATIONAL
Enrollment
90
Accident and Emergency Department, Queen Mary Hospital
Hong Kong, Hong Kong
RECRUITINGAccident and Emergency Department, United Christian Hospital
Hong Kong, Hong Kong
RECRUITINGThe accuracy of the newly developed lateral flow device in detecting aconitine, benzoylaconine and aconine in human urine samples
The sum of the lower bounds of the 95% confidence intervals of sensitivity and specificity
Time frame: 0 hour
True positive
The number of correctly identified cases with aconite exposure
Time frame: 0 hour
False positive
The number of incorrectly identified cases with no aconite exposure
Time frame: 0 hour
True Negative
The number of correctly identified cases with no aconite exposure
Time frame: 0 hour
False Negative
Number of missed cases with aconite exposure
Time frame: 0 hour
Sensitivity
True positive/(True positive + False negative) and its 95% confidence interval
Time frame: 0 hour
Specificity
True negative/(False positive + True negative) and its 95% confidence interval
Time frame: 0 hour
Positive likelihood ratio
(Sensitivity/ (1 - Specificity)) and its 95% confidence interval
Time frame: 0 hour
Negative likelihood ratio
(1 - Sensitivity)/Specificity) and its 95% confidence interval
Time frame: 0 hour
Positive predictive values
(True positive/(True positive + False positive)) and its 95% confidence interval
Time frame: 0 hour
Negative predictive value
(True negative/(False negative + True negative)) and its 95% confidence interval
Time frame: 0 hour
The area under the receiver operating characteristic curve
The area under the receiver operating characteristic curve and its 95% confidence interval
Time frame: 0 hour
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.