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Development and Validation of (Bio)Sensors for the Identification of Pathogens

Development and Validation of (Bio)Sensors for the Identification of Pathogens

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06548841
Enrollment
149
Registered
2024-08-12
Start date
2024-05-30
Completion date
2025-10-31
Last updated
2025-12-10

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

Conditions

Infection, Bacterial, Infection, Parasite, Infections, Infection Viral, Leishmania Infantum Disease, Pseudomonas Aeruginosa Infection, SARS CoV 2 Infection

Keywords

infections, platform, nanobiotechnological platforms, bacterial, viral, protozoan, diagnostic, point of care test

Brief summary

The recent COVID-19 pandemic has revealed the need to develop tests that are accurate, rapid, and inexpensive for the diagnosis of infectious diseases. This problem is relevant not only for viruses, but also for bacteria and parasites: the identification of pathogens at low concentrations by simple and accurate methods is still largely unsatisfied because these microorganisms are structurally complex and are incorporated in composite and diverse biological samples, which can create relevant interferences in pathogens' detection. Direct diagnostic approaches, such as microscopic examination, culture and molecular testing are carried out in equipped laboratories and require long waiting times to obtain the results. Recently developed point-of-care (POC) tests are a group of technologies that miniaturize tests into portable devices such that they can be performed both in well-equipped laboratories and outside the conventional laboratory setting. The present study aims to explore the feasibility and adaptability of newly developed platforms to detect: 1. a virus (SARS-CoV2), 2. a bacterium (Pseudomonas aeruginosa) and 3. a protozoan parasite (Leishmania infantum) in clinical specimens, such as blood and respiratory samples. These newly developed platforms are expected to overcome the current limitations of molecular testing (high cost, time required and need for well-equipped laboratories) and rapid testing (high number of false-negative results). In addition, the newly developed platforms may have important clinical application in low-income countries, which will benefit from a simple and inexpensive approach to detect the many infectious diseases that affect millions of people each year.

Interventions

OTHERNanobiotechnology platforms

The analyses will be carried out using the novel devices, which are of two types: 1. The first type of nanobiotechnological platform encompasses the hybridization of pathogen nucleic acids - that may be present in the clinical specimen - by employing specific molecular probes. 2. The second type of nanobiotechnological platform encompasses the use of capture bacteriophages or bait Phages to specifically detect bacterial or protozoan cell surface antigens (in the case of P. aeruginosa or L. infantum respectively) or viral particles (in the case of SARS-CoV2) and the use of reporter bacteriophages (transducer Phages) for the transduction of the electrochemiluminescent signal.

Sponsors

University of Bologna
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

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

Inclusion criteria

* Obtaining informed consent * Age ≥ 18 years * Patients who meet one of the following conditions: SARS-CoV2 positive patients (group 1), SARS-CoV2 negative patients (group 2), P. aeruginosa positive patients (group 3), P. aeruginosa negative patients (group 4), L. infantum positive patients (group 5), L. infantum negative patients (group 6).

Exclusion criteria

* None

Design outcomes

Primary

MeasureTime frameDescription
The evaluation of the sensitivity and specificity of new nanobiotechnological platforms compared to gold standard diagnostic tests16 monthsThe sensitivity and the specificity will be estimated by creating the confusion matrix corresponding to the classification between signals significant (beyond Limit Of Detection, LOD) and samples giving non-significant signals (below LOD). Where the analytical problem is described by other variables than the electrochemiluminescent analytical signal, multivariate classification methods shall be applied. The correlation and interaction between variables will also be estimated.

Countries

Italy

Outcome results

None listed

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