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Circulating biomarkers play a central role in translational research and precision medicine, particularly for the diagnosis, prognostic, monitoring of inflammatory or infectious diseases and patient stratification. Advances in analytical technologies enable standardised, sensitive and multiplexed assays, but their application remains limited by the lack of reliable reference values derived from well-characterised healthy populations. Indeed, the available data are often heterogeneous and difficult to transfer between platforms.
In this context, the establishment of institutional reference cohorts appears essential for the correct interpretation of immunological parameters-which could be strongly influenced by demographic and clinical factors-and for defining relevant cut-off values when identifying new biomarkers of interest. This issue is particularly critical in the field of viral respiratory infections, where current diagnostic approaches still have several limitations.
Circulating biomarkers play a central role in translational research and precision medicine, particularly for the diagnosis, prognostic, monitoring of inflammatory or infectious diseases and patient stratification. Advances in analytical technologies enable standardised, sensitive and multiplexed assays, but their application remains limited by the lack of reliable reference values derived from well-characterised healthy populations. Indeed, the available data are often heterogeneous and difficult to transfer between platforms.
In this context, the establishment of institutional reference cohorts appears essential for the correct interpretation of immunological parameters-which could be strongly influenced by demographic and clinical factors-and for defining relevant cut-off values when identifying new biomarkers of interest. This issue is particularly critical in the field of viral respiratory infections, where current diagnostic approaches still have several limitations.
Diagnosis is usually based on PCR tests targeting the DNA or RNA of pathogens, requiring a virus-specific test. In practice, only a few viruses (SARS-CoV-2, RSV, influenza) are tested for as a first-line investigation, whilst many other agents may be involved. As a comprehensive approach is difficult to achieve, viral infections often remain under-reported.
Furthermore, the detection of a virus by PCR may indicate either an active infection or residual traces of a past infection. Although viral load can aid interpretation, it does not always allow for a definitive conclusion, making it difficult to distinguish between ongoing viral replication and the persistence of genetic material. It is therefore necessary to have additional markers associated with active infection.
In this context, analysing the host response represents a promising alternative. Viruses induce, in particular, the production of type I interferons (IFN-I), the measurement of which could point the diagnosis towards a viral origin and reflect ongoing infectious activity. However, the interpretation of these biomarkers requires robust reference standards, taking into account their variability across individuals and contexts.
Several studies illustrate the value of such approaches, such as the REFIPA study (NCT07239830), conducted in subjects over 80 years of age, which aims to characterise the immune response, particularly IFN-I, in the context of immunosenescence. This type of study highlights the need for well-phenotyped healthy ? control populations according to age groups and clinical contexts.
Finally, beyond the creation of reference databases, the development of biobanks appears essential. This would enable the establishment of harmonised and directly usable reference values, thereby facilitating translational, basic and pre-clinical research projects, as well as the identification and validation of new biomarkers.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Healthy volunteers | Experimental | Healthy, uninfected adults aged 18 to 65 inclusive. Participants may be recruited through the press and social media, via the staff mailing list of the Hospices Civils de Lyon, or via posters displayed within the hospital aimed at staff, as well as at patients' carers and any other interested individuals. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Biological Sampling | Biological | The procedures specifically carried out for the study are as follows:
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| Measure | Description | Time Frame |
|---|---|---|
| To establish reference values for the nasal and blood type I interferon score in an uninfected adult population aged 18 to 65 years inclusive. | The primary endpoint is the measurement of nasal and blood interferon levels in a population of uninfected adults aged 18 to 65 years inclusive. | One day |
| Measure | Description | Time Frame |
|---|---|---|
| To assess the impact of immune parameters on baseline blood and nasal IFN-I scores | Correlation between immune parameters assessed by anti-IFN antibody concentration, the abundance of key immune cell subpopulations, lymphocyte function assessed by functional immune testing (such as IGRA), and the baseline blood and nasal interferon score | One day |
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Inclusion Criteria:
Exclusion Criteria:
Participants with symptoms of an active infection (symptom questionnaire or temperature > 37.5°C).
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sophie TROUILLET-ASSANT | Contact | +33 4 72 67 87 80 | sophie.trouillet-assant@chu-lyon.fr | |
| William MOUTON | Contact | +33 4 72 67 87 85 | william.mouton@chu-lyon.fr |
| Name | Affiliation | Role |
|---|---|---|
| Sophie TROUILLET-ASSANT | Laboratoire Commun de Recherche, Hôpital Lyon Sud, Hospices Civils de Lyon, France | Principal Investigator |
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Single-center, prospective, interventional study with minimal risk and constraints, RIPH category 2 outside of healthcare product
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| To assess the impact of demographic and clinical parameters on baseline blood and nasal IFN-I scores | Correlation between demographic (age, sex) and clinical parameters, and the baseline blood and nasal interferon score | One day |
| Compare baseline IFN-I levels between two subgroups of participants initially considered uninfected: those in whom the PCR test routinely performed on the day of the visit detects no infection, and those in whom this PCR test reveals an asymptomatic infe | Mean (or median) variation in IFN-I between the two groups, with estimation of the effect size (confidence interval) and the level of statistical significance. | One day |
| Establishment of a biobank | Establishment of a biobank | One day |