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NCT04535505WITHDRAWNanonymous

Establishment a Nucleic Acid Rapid Detection Technology Platform for Detecting Pathogenic Bordetella and Its Drug Resistance Genes

Sponsor

Source record

Children's Hospital of Fudan University

Phase

Source record

Withdrawn

Modality

AI-normalized

small molecule

Target

AI-normalized

Pathogenic Bordetella species and their drug resistance genes, specifically targeting Bordetella pertussis and its erythromycin resistance mechanisms.

Indication / condition

AI-normalized

Pertussis

Intervention

Source record

Detection pathogenic pertussis by cross primer constant temperature amplification (CPA) and drug resistant genes of erythromycin by CRISPR technology

Source & freshness

Source record

NCT ID

NCT04535505

Original source

ClinicalTrials.gov

Source last updated

Sep 14, 2022

Ingested at

Jun 12, 2026

Internal sync

Jun 12, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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View original source fields

NCT ID

NCT04535505

Title

Establishment a Nucleic Acid Rapid Detection Technology Platform for Detecting Pathogenic Bordetella and Its Drug Resistance Genes

Sponsor

Children's Hospital of Fudan University

Status

WITHDRAWN

Phase

Withdrawn

Condition raw

Pertussis

Condition normalized

Pertussis

Modality raw

small molecule

Modality normalized

small molecule

Target raw

Pathogenic Bordetella species and their drug resistance genes, specifically targeting Bordetella pertussis and its erythromycin resistance mechanisms.

Target normalized

Pathogenic Bordetella species and their drug resistance genes, specifically targeting Bordetella pertussis and its erythromycin resistance mechanisms.

Interventions

Detection pathogenic pertussis by cross primer constant temperature amplification (CPA) and drug resistant genes of erythromycin by CRISPR technology

Public preview

Source record

The proposed CPA platform utilizing CRISPR technology aims to provide a rapid and accurate diagnostic tool for detecting Bordetella species and their associated drug resistance genes. Given the ongoing global concerns regarding pertussis outbreaks, this technology could address a significant unmet need in infectious disease diagnostics. However, the trial has been withdrawn, indicating potential challenges in development or execution. The competitive landscape includes existing diagnostic methods such as culture and PCR, which may limit market entry unless the new platform demonstrates superior accuracy and speed. Diligence is required to assess the reasons for withdrawal and any implications for future development or partnerships.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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