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Biomarkers for Diagnosis and Treatment of COPD (BmiRCOPD)

24 de septiembre de 2019 actualizado por: Luca Gallelli, University of Catanzaro

A Predictive "Molecular Biology Signature" for Diagnosis and Treatment of Chronic Obstructive Pulmonary Disease

COPD is an inflammatory disease characterized by enhanced chronic airway and lung inflammatory responses to noxious agents (e.g. smoke, pollutants) and progressive airflow limitation. In COPD patients there is a spillover of peripheral lung inflammation into systemic circulation resulting in increased level of various inflammatory markers such as: IL-1β, IL-6, IL-8, and TNF-α.

Diagnosis, now, is based on clinical evaluation and spirometry test and COPD treatment includes the use of LABA, LAMA and corticosteroids.

To data no plasmatic marker able to identify the stage of COPD and the response to the treatment have been documented . The aim of this study is to evaluate in COPD patients the role of microRNA as predictive biomarker, of the disease in order to have a signature of miRs typically of COPD

Descripción general del estudio

Estado

Terminado

Condiciones

Descripción detallada

Chronic obstructive pulmonary disease (COPD) is a heterogeneous respiratory disorder affecting more than 200 million patients worldwide. It is characterized by enhanced chronic airway and lung inflammatory responses to noxious agents (e.g. smoke, pollutants) and progressive airflow limitation.

Both, prevalence and incidence of this disease are continuously increasing, thus the investigators can predict that in 2020 it will be the third important cause of death in the world.

Several immune system cells (e.g. macrophages, eosinophils) and biochemical mediators (e.g. tumor necrosis factor-alpha, transforming growth factor beta, Interleukins and metalloproteases) are involved in its development and in symptom severity.

It has been suggested that in COPD patients there is a spillover of peripheral lung inflammation into systemic circulation resulting in increased level of various inflammatory markers such as: IL-1β, IL-6, IL-8, and TNF-α. Those biomolecules are responsible of various complication associated with COPD such as cardiovascular disease, hypertension and skeletal muscle weakness to name a few. It is worth to note that the increase of systemic inflammatory markers is also responsible of diabetes, obesity and metabolic syndrome development in COPD patients.

Diagnosis, now, is based on clinical evaluation and spirometry test and COPD treatment includes the use of LABA, LAMA and corticosteroids. Therefore, an early diagnosis in order to asses a specific treatment it is mandatory.

Sarioglu et al.,reported that systemic inflammatory markers levels (in plasma) TNFα, IL-6 and C-reactive protein, persist in the stable period in 110 COPD patients and the C-reactive protein levels correlate with the COPD Assessment Test.

However, C-reactive protein is not a specific marker, while to date more appropriate marker(s) could be represented by microRNA (miR) a key class of gene expression regulators, emerging as crucial players in various biological processes such as cellular proliferation and differentiation, development and apoptosis.

In this concern, Stolzenburg et al., documented, in an experimental model of COPD, that miR-1343 reduces the expression of both isoform of TGF-b receptor 1 and 2, directly targeting their 3' UTRs mRNA region, suggesting a role in the improvement of lung fibrosis.

To date, no other data have been performed yet on this topic. In the present project the investigators would like to screen with nCounter GX Human Inflammation Kit a comprehensive number of 249 human genes known to be differentially expressed in inflammation. The gene list represents a broad range of inflammation-related pathways. In parallel miRs screening will be performed (800 in a single reaction tube) using NanoString Technology Platform. This technology is robust and sensitive and today is used for the validation of New Generation Sequence (NGS) data. Our aim is to evaluate in COPD patients the role of miRs as predictive biomarker, of the disease in order to have a signature of miRs typically of COPD. The signature could be used to monitoring the therapeutic application of drugs used in COPD as well as to asses a Prediction COPD Diagnostic test.

The absence of a plasmatic marker able to identify the stage of disease and the response to the treatment leads to COPD exacerbation and progression, this represent, in the real life, a common problem during COPD treatment and is also related with an increase of sanitary health costs. Last year, the European health bill for COPD treatment increased by USD 10 million and the market is thought to increase up to USD 37.7 million by 2030.

Tipo de estudio

De observación

Inscripción (Actual)

195

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Ubicaciones de estudio

      • Catanzaro, Italia, 88100
        • UCCP
    • Catanzaro
      • Badolato, Catanzaro, Italia, 88100
        • UCCP
      • Borgia, Catanzaro, Italia, 88100
        • UCCP

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

40 años a 80 años (Adulto, Adulto Mayor)

Acepta Voluntarios Saludables

Sí

Géneros elegibles para el estudio

Todos

Método de muestreo

Muestra no probabilística

Población de estudio

An open label, parallel groups study, will be performed after it is approve by the Ethical committee and before the beginning of the study, all participants will be informed about the aim, procedures, risks and benefits of the study and they will provide a written informed consent

Descripción

Inclusion Criteria:

  • COPD diagnosed according to the GOLD criteria

Exclusion Criteria:

  • allergy to corticosteroids or to bronchodilators
  • neurodegenerative diseases
  • autoimmune diseases
  • inability to use inhalers
  • progressive serious medical conditions (such as cancer, AIDS or end-stage renal disease)
  • infectious diseases

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

Cohortes e Intervenciones

Grupo / Cohorte
COPD-Untreated (Group 1)
In this Group will be enrolled patients of both sex and older than 40-years with COPD stage GOLD 2 and 3 that did not receive COPD treatment in the last 6 months (beta 2 agonists, corticosteroids, anticholinergics).
COPD-uncontrolled (Group 2)
In this Group will be enrolled patients of both sex and older than 40-years with COPD stage GOLD 2 and 3 that receive a COPD treatment (e.g. beta 2 agonists, corticosteroids, anticholinergics) but with a post-bronchodilator FEV1< 80% and an FEV1/FVC < 0.7 or with 1-2 exacerbation/year
Control subjects (Group 3)
In this Group will be enrolled patients of both sex and older than 40 years; (2) will be free from lung disease as determined by a physician; (3) will have a normal spirometry (FEV1> 85% and FEV1/FVC > 0.7)

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Change of miR expression at 6 and 12 months
Periodo de tiempo: 6 and 12 months
Change of miR expression in COPD-groups (Groups 1 and 2 ) vs control-Group
6 and 12 months

Medidas de resultado secundarias

Medida de resultado
Medida Descripción
Periodo de tiempo
correlation between miRs expression and clinical outcome
Periodo de tiempo: 6 and 12 months
correlation between miRs and clinical outcome evaluated through the COPD Assessment Test (CAT) and the modified Medical Research Council (mMRC) dispnea scale
6 and 12 months
correlation between miRs expression and the development of adverse drug reaction
Periodo de tiempo: 6 and 12 months
correlation between miRs and clinical outcome evaluated through the Naranjo probability scale
6 and 12 months
correlation between miRs expression and inflammatory markers
Periodo de tiempo: 6 and 12 months
correlation between miRs expression and plasma levels of ILs, TNF-Alpha, C reactive protein
6 and 12 months

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Investigadores

  • Investigador principal: Luca Gallelli, MD, University of Catanzaro

Publicaciones y enlaces útiles

La persona responsable de ingresar información sobre el estudio proporciona voluntariamente estas publicaciones. Estos pueden ser sobre cualquier cosa relacionada con el estudio.

Publicaciones Generales

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio

1 de abril de 2016

Finalización primaria (Actual)

1 de abril de 2017

Finalización del estudio (Actual)

1 de octubre de 2018

Fechas de registro del estudio

Enviado por primera vez

27 de noviembre de 2015

Primero enviado que cumplió con los criterios de control de calidad

14 de diciembre de 2015

Publicado por primera vez (Estimar)

17 de diciembre de 2015

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

25 de septiembre de 2019

Última actualización enviada que cumplió con los criterios de control de calidad

24 de septiembre de 2019

Última verificación

1 de septiembre de 2019

Más información

Términos relacionados con este estudio

Otros números de identificación del estudio

  • COPD

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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