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PainFACT

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Molecular Mechanisms Associating Chronic Pain with Fatigue Affective Disorders...

Molecular Mechanisms Associating Chronic Pain with Fatigue Affective Disorders Cardiovascular Disease and Total Comorbidity Chronic pain (CP) is the leading cause of disability, and is strongly associated with fatigue, anxiety and depression ─ also major contributors to disability, and with cardiovascular disease (CVD) and mortality. Twin studies indic... ver más

31/12/2025

Líder desconocido

7M€

Presupuesto del proyecto: 7M€

Líder del proyecto Líder desconocido

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-11-22

SC1-BHC-01-2019: Understanding causative mechanisms... Specific Challenge:The increasing number of individuals with co-and multimorbidities poses an urgent...

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9 Participantes

ERASMUS UNIVERSITAIR MEDISCH...

UNIVERSIDAD POMPEU FABRA

QUIBIM SOCIEDAD LIMITADA

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Duración del proyecto: 73 meses Fecha Inicio: 2019-11-22
Fecha Fin: 2025-12-31

Líder del proyecto Líder desconocido

Presupuesto del proyecto 7M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Chronic pain (CP) is the leading cause of disability, and is strongly associated with fatigue, anxiety and depression ─ also major contributors to disability, and with cardiovascular disease (CVD) and mortality. Twin studies indicate that these associations are a consequence of common causal mechanisms. The main objective of PainFACT is to identify these mechanisms. Using hypothesis-free genomic, proteomic, transcriptomic and brain-imaging discovery in available human studies and in a large cohort of outbred mice with multiple comorbidities, we aim to identify biomarkers that are associated across conditions. Predictive algorithms will be developed through machine learning techniques and tested in prospective analysis. Mendelian randomization approaches will be applied to test for causality. Mechanistic studies will be carried out in validated behavioral and atherosclerotic mouse models. Predictive markers will be tested as possible mediators of effects of lifestyle and obesity. Unique features of this program of research is the strong emphasis on experimental pain models and brain imaging techniques, facilitating translation of findings between mice and humans, and exploitation of the largest study of experimental pain worldwide and of multiple clinical datasets ranging in size from tens of thousands to 1.1 million. A custom protein panel will be developed together with sex and age stratified algorithms, with expected impact for the prediction and monitoring of disease and comorbidity, and for tracking effects of life-style changes. It is also expected that PainFACT results will have major impact on the diagnostic criteria and classification of affective disorders and CP. The identification of novel causal biomarkers will provide new targets for development of medicines and yield new insight into the causes of comorbidity.

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