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Development of an Aptamer-based Lateral Flow Device for Point-of-care Detection of Toxic Chinese Medicine Herbs (ALPTH Project)

Development of an Aptamer-based Lateral Flow Device for Point-of-care Detection of Toxic Chinese Medicine Herbs (ALPTH Project)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07456592
Acronym
ALPTH1
Enrollment
90
Registered
2026-03-06
Start date
2025-10-15
Completion date
2026-12-31
Last updated
2026-03-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aconite Poisoning

Keywords

aconite, traditional Chinese medicine, poisoning, aptamer, point-of-care test

Brief summary

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.

Detailed description

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.

Interventions

None listed

Sponsors

The University of Hong Kong
Lead SponsorOTHER
School of Biomedical Sciences, The University of Hong Kong
CollaboratorUNKNOWN
School of Chinese Medicine, The University of Hong Kong
CollaboratorUNKNOWN
Hong Kong Poison Control Centre, Hospital Authority
CollaboratorUNKNOWN

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

(Aconite Poisoned Group): * adult patients aged 18 years or above * clinical presentations consistent with acute aconite poisoning, including neurological, gastrointestinal, or cardiovascular symptoms * exposure to aconite alkaloids within 3 days

Exclusion criteria

(Aconite Poisoned Group): * refusal of informed consent for urine collection * alternative explanations for clinical presentations Inclusion Criteria (Aconite Therapeutic Use Group): * adult patients aged 18 years or above * documented history of using aconite for therapeutic purposes, as prescribed by a qualified practitioner in a Chinese medicine clinic * exposure to aconite alkaloids within 3 days

Design outcomes

Primary

MeasureTime frameDescription
The accuracy of the newly developed lateral flow device in detecting aconitine, benzoylaconine and aconine in human urine samples0 hourThe sum of the lower bounds of the 95% confidence intervals of sensitivity and specificity

Secondary

MeasureTime frameDescription
True positive0 hourThe number of correctly identified cases with aconite exposure
False positive0 hourThe number of incorrectly identified cases with no aconite exposure
True Negative0 hourThe number of correctly identified cases with no aconite exposure
False Negative0 hourNumber of missed cases with aconite exposure
Sensitivity0 hourTrue positive/(True positive + False negative) and its 95% confidence interval
Specificity0 hourTrue negative/(False positive + True negative) and its 95% confidence interval
Positive likelihood ratio0 hour(Sensitivity/ (1 - Specificity)) and its 95% confidence interval
Negative likelihood ratio0 hour(1 - Sensitivity)/Specificity) and its 95% confidence interval
Positive predictive values0 hour(True positive/(True positive + False positive)) and its 95% confidence interval
Negative predictive value0 hour(True negative/(False negative + True negative)) and its 95% confidence interval
The area under the receiver operating characteristic curve0 hourThe area under the receiver operating characteristic curve and its 95% confidence interval

Countries

Hong Kong

Contacts

CONTACTRex Pui Kin Lam, MBBS, MPH, FHKCEM
lampkrex@hku.hk+85239179413

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 12, 2026