Skip to content

Application of Nanopore Adaptive Sequencing

Application of Oxford Nanopore Adaptive Sequencing Method in Infection Post Liver Transplantation

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06542042
Enrollment
100
Registered
2024-08-07
Start date
2024-10-01
Completion date
2026-10-30
Last updated
2024-08-07

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

Conditions

Liver Transplant Infection

Keywords

Oxford nanopore adaptive sequencing method

Brief summary

Infection post liver transplantation is an important factor in the death in patients. The traditional method of diagnosing infection post liver transplantation is laboratory tests. But the sensitivity and specificity of blood tests is poor. Next-generation sequencing (NGS) has greater detection rate for mycobacterium tuberculosis, anaerobes and fungi and greater sensitivity compare with blood tests. However use of NGS is limited because of the short read-length. Oxford nanopore adaptive sequencing (NAS) method is the Third Revolution in Sequencing Technology. For each 1 Gbp of data, NAS sequencing detected 45 times more microbiome sequences than Nanopore standard sequencing and 2.5 times more than Illumina sequencing. The purpose of this study is to compare NAS with NGS and laboratory tests for the diagnostic rate of infection post liver transplantation.

Detailed description

Based on the previous work, the investigators found that: 1. NAS has a higher microbial enrichment efficiency and can detect pathogenic information more quickly compared with nanopores normal sequencing (NNS); 2. NAS can detect more specific pathogen fragments with short-time sequencing; 3. NAS can cover more pathogenic genomes than NNS in a short-time; 4. NAS can detect antibiotic resistance information of pathogenic bacteria in clinical samples.

Interventions

DIAGNOSTIC_TESTNAS, NGS and Laboratory tests

Using three diffrent detection methods and comparing their efficiency

Sponsors

Shenzhen Third People's Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Accept liver transplantation * Signing informed consent voluntarily * Possessing ability to comprehend material information * Participating this study voluntarily

Exclusion criteria

* Participated another study * Graft loss * Have undergone a multi-organ transplantion or have had a previous organ transplantation * Patient died

Design outcomes

Primary

MeasureTime frameDescription
Diagnosed infection post liver transplantationPost liver transplantation before patients discharge from hospital, an average of 1 months.Any pathogens are detected in alveolar lavage fluid, peritoneal drainage or blood before patients discharge from hospital, an average of 1 months

Countries

China

Contacts

Primary Contactpusen Wang, Dr
pusenwang@sjtu.edu.cn18621006138

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026