Fibromyalgia Clinical Trial
— FIBROKITOfficial title:
Development of a New Tool for the Diagnosis and Monitoring of Fibromyalgia "FIBROKIT"
Verified date | July 2023 |
Source | Pronacera Therapeutics SL |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
PRONACERA THERAPEUTICS S.L. is a young biotechnological company focused on the development of genetic diagnostic tools and treatments for pathologies in different medical areas such as reproduction, fibromyalgia and rare diseases or with deficiencies in diagnosis, with the aim of helping to optimize health systems through improvement in terms and forms of diagnosis. Among the multiple lines of R+D+i that are currently being developed, the reproductive genomic line and endometrial functional molecular biology stand out. Specifically, it develops the design of markers and performs the genetic analysis of infertility focused on female endometrial tissue. Fibromyalgia is a complex and common chronic pain disorder that affects 12 million Europeans. Along with other symptoms, fibromyalgia causes pain and general tenderness to touch. Currently this disease is diagnosed following the criteria established by the American College of Rheumatology (ACR) of a combination of relevant symptoms and the description of how the person feels. In other words, in practice it is a diagnosis by elimination. A patient suffering from fibromyalgia usually takes between 2 to 3 years to obtain the correct diagnosis. Health experts consider that fibromyalgia is a disease that is difficult to diagnose and that is associated with an expensive use of health system services. With FIBROKIT, Pronacera aims to design and develop a new diagnostic and monitoring tool for fibromyalgia by designing a panel of specific plasma proteome and intestinal microbiome biomarkers and reducing the number of biological samples used. During the execution of this project, the company will have three leading research and innovation organizations in the sector (Helix BioS, CINUSA and CICbioGUNE) that will support Pronacera. FIBROKIT will have a cohort of 250 participants (206 patients and 44 healthy volunteers) to validate the diagnostic capacity of the tool and perform a robust biostatistical study.
Status | Active, not recruiting |
Enrollment | 250 |
Est. completion date | December 31, 2023 |
Est. primary completion date | August 31, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 40 Years to 59 Years |
Eligibility | Inclusion Criteria: - Women between 40 and 59 years - Do not carry out any type of guided and structured physical activity (detailed in the exclusion criteria) - Follow a balanced diet in terms of the food source (fruits, vegetables, legumes, meat, fish, etc.). Exclusion Criteria: - Being outside the established age range (40-59) at the time of the start of the study - Have practiced some type of structured or planned physical activity more than 2 times a week during the last month, such as: 1. Go to collective classes of Yoga, Tai-Chi, Zumba, dance, gymnastics or similar 2. Going for a walk, cycling, hiking or similar for 30 minutes or more than 10,000 steps per day - Being underweight (BMI < 18.5) or type II or higher obesity (BMI > 34.9) - Suffer and have been diagnosed with any of the following chronic pathologies: any type of cancer - Acquired Immunodeficiency Syndrome (AIDS) - Inflammatory diseases (rheumatoid arthritis, osteoarthritis) - Gastrointestinal diseases (Crohn's disease, ulcerative colitis) - Cardiovascular diseases (atherosclerosis, cardiomyopathy, stroke) - Autoimmune diseases (systemic lupus erythematosus, celiac disease, Hashimoto's thyroiditis, multiple sclerosis) - Metabolic diseases (Type I and II Diabetes, Metabolic Syndrome) - Having been under intensive pharmacological treatment (3 or more drugs daily) with non-steroidal anti-inflammatory drugs, corticosteroids, analgesics, or antidepressants during the month prior to the start of the study. - Being under antioxidant supplementation (Glutathione, Coenzyme Q10, plant extracts, phenolic compounds) - Consuming an amount greater than 12 g/day of alcohol, admitted in the context of the Mediterranean diet (Willett et al., 1995). Smoking or consuming any type of narcotic substance (regardless of the amount and frequency) |
Country | Name | City | State |
---|---|---|---|
Spain | Pronacera Therapeutics Laboratory | Seville |
Lead Sponsor | Collaborator |
---|---|
Pronacera Therapeutics SL | Centre for the Development of Industrial Technology, Spain |
Spain,
Clos-Garcia M, Andres-Marin N, Fernandez-Eulate G, Abecia L, Lavin JL, van Liempd S, Cabrera D, Royo F, Valero A, Errazquin N, Vega MCG, Govillard L, Tackett MR, Tejada G, Gonzalez E, Anguita J, Bujanda L, Orcasitas AMC, Aransay AM, Maiz O, Lopez de Munain A, Falcon-Perez JM. Gut microbiome and serum metabolome analyses identify molecular biomarkers and altered glutamate metabolism in fibromyalgia. EBioMedicine. 2019 Aug;46:499-511. doi: 10.1016/j.ebiom.2019.07.031. Epub 2019 Jul 18. — View Citation
Martinez-Lara A, Moreno-Fernandez AM, Jimenez-Guerrero M, Diaz-Lopez C, De-Miguel M, Cotan D, Sanchez-Alcazar JA. Mitochondrial Imbalance as a New Approach to the Study of Fibromyalgia. Open Access Rheumatol. 2020 Aug 24;12:175-185. doi: 10.2147/OARRR.S257470. eCollection 2020. — View Citation
Minerbi A, Fitzcharles MA. Gut microbiome: pertinence in fibromyalgia. Clin Exp Rheumatol. 2020 Jan-Feb;38 Suppl 123(1):99-104. Epub 2020 Feb 12. — View Citation
Ramirez-Tejero JA, Martinez-Lara E, Rus A, Camacho MV, Del Moral ML, Siles E. Insight into the biological pathways underlying fibromyalgia by a proteomic approach. J Proteomics. 2018 Aug 30;186:47-55. doi: 10.1016/j.jprot.2018.07.009. Epub 2018 Jul 17. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Concentration of Voltage dependent anion channel 1 protein (VDAC) | VDAC protein determination by western blot | 0 weeks | |
Primary | Concentration of Voltage dependent anion channel 1 protein (VDAC) | VDAC protein determination by western blot | 12 weeks | |
Primary | Concentration of Voltage dependent anion channel 1 protein (VDAC) | VDAC protein determination by western blot | 24 weeks | |
Primary | Concentration of Voltage dependent anion channel 1 protein (VDAC) | VDAC protein determination by western blot | 48 weeks | |
Primary | Concentration of Microtubule-associated proteins 1B light chain 3B (LC3B) | LC3B protein determination by western blot | 0 weeks | |
Primary | Concentration of Microtubule-associated proteins 1B light chain 3B (LC3B) | LC3B protein determination by western blot | 12 weeks | |
Primary | Microtubule-associated proteins 1B light chain 3B (LC3B) | LC3B protein determination by western blot | 24 weeks | |
Primary | Concentration of Microtubule-associated proteins 1B light chain 3B (LC3B) | LC3B protein determination by western blot | 48 weeks | |
Primary | Concentration of Plasma Proteins | Plasma proteome Analysis by label-free nano Liquid Chromatography coupled to tandem mass spectrometry after top-14 depletion | 0 weeks | |
Primary | Concentration of Plasma Proteins | Plasma proteome Analysis by label-free nano Liquid Chromatography coupled to tandem mass spectrometry after top-14 depletion | 12 weeks | |
Primary | Concentration of Plasma Proteins | Plasma proteome Analysis by label-free nano Liquid Chromatography coupled to tandem mass spectrometry after top-14 depletion | 24 weeks | |
Primary | Concentration of Plasma Proteins | Plasma proteome Analysis by label-free nano Liquid Chromatography coupled to tandem mass spectrometry after top-14 depletion | 48 weeks | |
Primary | Abundance of Bacteria from the Intestinal Microbiome | Fecal metagenomic analysis by amplicon sequencing of hypervariable region V3-V4 from RNA 16S bacterial gene | 0 weeks | |
Primary | Abundance of Bacteria from the Intestinal Microbiome | Fecal metagenomic analysis by amplicon sequencing of hypervariable region V3-V4 from RNA 16S bacterial gene | 12 weeks | |
Primary | Abundance of Bacteria from the Intestinal Microbiome | Fecal metagenomic analysis by amplicon sequencing of hypervariable region V3-V4 from RNA 16S bacterial gene | 24 weeks | |
Primary | Abundance of Bacteria from the Intestinal Microbiome | Fecal metagenomic analysis by amplicon sequencing of hypervariable region V3-V4 from RNA 16S bacterial gene | 48 weeks | |
Secondary | 36-Item Short Form Health Survey (SF-36) Score | 36-Item Short Form Health Survey score | 0 weeks | |
Secondary | 36-Item Short Form Health Survey (SF-36) Score | 36-Item Short Form Health Survey score | 12 weeks | |
Secondary | 36-Item Short Form Health Survey (SF-36) Score | 36-Item Short Form Health Survey score | 24 weeks | |
Secondary | 36-Item Short Form Health Survey (SF-36) Score | 36-Item Short Form Health Survey score | 48 weeks | |
Secondary | Fibromyalgia Impact Questionnaire (FIQ) Score | Fibromyalgia Impact Questionnaire (FIQ) score | 0 weeks | |
Secondary | Fibromyalgia Impact Questionnaire (FIQ) Score | Fibromyalgia Impact Questionnaire (FIQ) score | 12 weeks | |
Secondary | Fibromyalgia Impact Questionnaire (FIQ) Score | Fibromyalgia Impact Questionnaire (FIQ) score | 24 weeks | |
Secondary | Fibromyalgia Impact Questionnaire (FIQ) Score | Fibromyalgia Impact Questionnaire (FIQ) score | 48 weeks |
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