A Prospective Trial to Identify Biomarkers Involved in the Transition From Acute to Persistent Chronic Low Back Pain
|Acute Low Back Pain Chronic Low Back Pain|
|Study Design:||Observational Model: Cohort
Time Perspective: Prospective
|Official Title:||A Prospective Controlled Trial to Identify Biomarkers Involved in the Transition From Acute to Persistent Chronic Low Back Pain|
- Genetic outcome [ Time Frame: 54 months ]
To investigate the associations between genetic factors and the development of persistent chronic LBP, in patients developing persistent chronic symptoms (defined as pain that persists 3 months or more), after an episode of acute LBP. The development of persistent chronic pain will be assessed at 3 months after the acute episode.
Existing and newly generated GWAs will be analyzed and their possible correlation with the risk of pain becoming persistent chronic will be detected in a wide, international population of caucasian ancestry.
- Glycomic and Activomic outcome [ Time Frame: 54 months ]Recognize Glycomic and Activomic data associated with patients who develop CLBP compared to patients who do not develop CLBP after an episode of acute LBP. The sample size will better defined after the first interim analysis of first 400 patients.
- Epigenetic outcome [ Time Frame: 54 months ]
Investigators will identify CpG methylation patterns that may be associated with the development and maintenance of persistent chronic LBP pain after an episode of acute LBP in the first 200 patients who develop CLBP and first 200 patients who will not develop it.
In the same cohort of 400 patients, investigators will analyze microRNAs (miRNAs) to investigate their role in predicting risk of persistent chronic pain after acute episode, opioid tolerance and response to therapy after the beginning of opioid therapy.
- Next-generation sequencing outcome [ Time Frame: 54 months ]Investigators will detect rare variants with strong or modest effects on LBP symptoms and response to therapy using next generation sequencing of candidate genes in 200 incident cases with persistent chronic pain and 200 controls. In particular, investigators will analyze new genetic variants that may impact on intervertebral disc stability, new variants modifying inflammation, variants of pain signalling, new variants in genes encoding analgesic drug metabolism and other genes from literature search.
- Stratification based on pain characteristics [ Time Frame: 54 months ]"Omics" data will be compared stratifying our population according to pain characteristics, pain intensity, response to treatment and duration of pain.
- Stratification based on pain pathophysiology [ Time Frame: 54 months ]In a subgroup of patients, "omics" data will be compared stratifying our population according to pain pathophysiology: discogenic pain, spinal stenosis, facet joint pain, sacroiliac joint pain, low back pain with radicular pain (radicular pain not predominant) and widespread low back pain.
- Stratification based on 6 months follow-up [ Time Frame: 54 months ]"Omics" data will be also compared stratifying our population according to the persistence of pain at 6 months despite receiving a treatment following current guidelines.
Biospecimen Retention: Samples With DNA
|Study Start Date:||December 2014|
|Estimated Study Completion Date:||August 2018|
|Estimated Primary Completion Date:||August 2018 (Final data collection date for primary outcome measure)|
Investigators will link and relate clinical data to a multiple "omics" analysis in patients developing persistent chronic symptoms (defined as pain that persists 3 months or more), after an episode of acute LBP. The development of persistent chronic pain will be assessed at 3 months after the acute episode.
"OMIC" biomarkers investigated will be genetics, epigenetics, glycomics and activomic.
Genetics through genome wide association studies (GWAS) has already obtained important results in pain research; however concerning low back pain, there is not yet suitable genotype-phenotype correlations helpful to stratify patients.
Epigenetic regulation is a universal tool that higher organisms use to adapt to changes in the environment. While environmental factors, such as diet influence enzymatic processes only while they are directly present, their prolonged effects can be achieved through the cell memory of epigenetic marks. Various elements of the membrane signal transduction system were reported to be regulated by epigenetic mechanisms.
Glycomics is an emerging field that has recently been identified as a priority for the next decade by the US National Academies of Science. Many common complex diseases will be associated with specific changes in glycan structures. In addition, common genetic polymorphisms influencing glycosylation and consequent differences in glycome composition could be important diagnostic and prognostic markers. The first studies reporting protein glycosylation in large human population samples have been recently published by partners in the consortium. Reliable identification of valid associations between specific glyco-phenotypes and predisposition for the development or progression of a specific disease requires analysis of thousands of patients.
Activomics: combines data about enzymatic activity of numerous numerous post-translational modification proteins in an integrated model which provides dynamic characterization of the current state of an organism. In this project information about numerous proteases, kinases, phosphatases and glycosidases will be collected and used to complement the existing phenotype information.
"Omics" data will be compared stratifying population according to pain characteristics, pain intensity, response to treatment and duration of pain. In a subgroup of patients, "omics" data will be compared stratifying population according to pain pathophysiology: discogenic pain, spinal stenosis, facet joint pain, sacroiliac joint pain, low back pain with radicular pain (radicular pain not predominant) and widespread low back pain.
Please refer to this study by its ClinicalTrials.gov identifier: NCT02037763
|Contact: MASSIMO ALLEGRI, MDemail@example.com|
|United States, North Carolina|
|The Center for Clinical Research (CPI)||Recruiting|
|Winston-Salem, North Carolina, United States|
|Principal Investigator: LEONARDO KAPURAL, MD|
|Edith Cowan University (ECU)||Recruiting|
|Principal Investigator: WEI WANG, PROF|
|Multidisciplinary Pain Centre, Hospital Oost-Limburg (ZOL)||Recruiting|
|Principal Investigator: JAN VAN ZUNDERT, MD|
|"St.Catharine" Orthopedics, Surgery, Neurology and Physical Medicine and Rehabilitation Specialty Hospital (St-Cat)||Recruiting|
|Principal Investigator: DRAGAN PRIMORAC, PROF|
|Anesthesia and Pain Therapy Department, Università degli Studi di Parma (UNIPR)||Recruiting|
|Principal Investigator: GUIDO FANELLI, PROF|
|Fondazione IRCCS Policlinico San Matteo (OSM)||Recruiting|
|Pavia, Italy, 27100|
|Contact: CRISTINA E MINELLA, MD firstname.lastname@example.org|
|Principal Investigator: CRISTINA E MINELLA, MD|
|Sub-Investigator: MANUELA DE GREGORI, PHD|
|King's College London (KCL)||Recruiting|
|London, United Kingdom|
|Principal Investigator: FRANCES WILLIAMS, MD|
|Principal Investigator:||MASSIMO ALLEGRI, MD||Pain Therapy Service Azienda Ospedaliera Universitaria Parma Italy|