General University Hospital of Larissa. Greece
Larissa, Thessaly, Greece
Location status: Recruiting
NCT Number: NCT07536529
Rheumatic diseases constitute a group of non-communicable diseases characterized by chronic inflammation. The most common autoimmune rheumatic diseases (ARDs) are rheumatoid arthritis, psoriatic arthritis, systemic lupus erythematosus, myositis, Sjogren's syndrome and systemic scleroderma. These autoimmune disorders lead to joint destruction and adversely influence the human body systemically. One of their characteristics is comorbidity, since patients usually suffer also from other pathologies such as cardiovascular diseases and obesity. In addition, their treatment requires a combination of both biological and conventional pharmaceutical interventions as well as other parameters such as physical activity programs, nutrition, and the use of smart electronic devices. Therefore, the ARDs burden health systems worldwide. Apart from the physiological manifestations of ARDs, specific changes are observed at the cellular and molecular level. A common biochemical/molecular symptom of these diseases is oxidative stress. This condition leads to the disturbance of blood and tissue redox status due to the excessive production of free radicals. Given that free radicals are highly reactive moieties with strong oxidative capacity against biomolecules (i.e., proteins, lipids, DNA), they compromise the efficacy of the intrinsic antioxidant mechanisms and, finally, induce the disruption of redox homeostasis. However, there is no sufficient data linking the levels of redox status of patients with the progression of ARDs over time. Indeed, the onset and symptoms of ARDs are intertwined with the disruption of the patient redox homeostasis and the induction of oxidative stress. Concurrently, the absence of a completely effective pharmaceutical treatment emerges the need for the adoption of novel biomarkers for monitoring the severity of the symptoms and the evolution of ARDs in general. To that end, this study aims at first to investigate the blood redox status of patients with ARDs. Thus, specific redox biomarkers will be evaluated in the blood of patients in three time points (i.e., at Days 1, 180 and 360), and they will be associated with the clinical manifestations of their diseases. The ultimate goal is to clarify whether these biomarkers could putatively exert clinical significance, namely whether they could constitute an additional tool for the monitoring of the progression of these diseases in clinical practice.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Larissa, Thessaly, Greece
Location status: Recruiting
Background: In recent years, there has been a significant increase in the incidence of chronic inflammatory non-communicable diseases worldwide, which are responsible for 71% of deaths annually. The prevention of these diseases has been associated with dietary habits and physical activity, while their auxiliary use along with the appropriate pharmaceutical interventions can also contribute to the reduction of their severity. Autoimmune rheumatic diseases (ARDs) are a group of non-communicable diseases characterized by chronic inflammation, that lead to joint destruction, and adversely affect human body. The most common ARDs are rheumatoid arthritis, psoriatic arthritis, systemic lupus erythematosus, myositis, Sjogren's syndrome and systemic scleroderma. The etiology of ARDs is rather complex. It is noteworthy that significant side effects are observed in patients receiving specific drug therapy, while some of them are resistant to existing drugs. According to available data, the incidence of rheumatic diseases is estimated at 0.5-1%. However, these diseases particularly burden health systems on a global scale. This is the case not only because one of their characteristics is comorbidity, since patients usually suffer from other diseases such as cardiovascular diseases and obesity, but also because of the use of biological medicines. On this basis, their management requires a combination of biological and conventional pharmaceutical interventions, as well as other parameters such as physical activity programs, nutrition and the use of smart electronic devices. Along with the physiological manifestations of ARDs, they share a biochemical/molecular symptom, namely oxidative stress. Oxidative stress is a condition that consists of the disturbance of redox state of blood and tissues due to the excessive production of free radicals. The latter are highly reactive molecules or atoms able to oxidize biomolecules (i.e., proteins, lipids, DNA). Specifically, in oxidative stress context, the concentration of blood antioxidant molecules is reduced, making biomolecules susceptible to potential oxidation and, therefore, to damage of their normal function. Oxidative stress is associated to inflammation and, therefore, is observed in ARDs by affecting normal cell signaling and disrupting redox homeostasis. Nevertheless, to our knowledge, there is no available data linking the levels of blood redox status of patients with the progression of ARDs over time. Methods: The levels of specific and widely established redox biomarkers will be evaluated in blood samples of the volunteering patients in three time points (i.e., Days 1, 180 and 360) to assess their blood redox status. The battery of the redox biomarkers that will be measured is as follows: The concentration of reduced form of glutathione (GSH) which is a crucial antioxidant metabolite, the activity of catalase, a potent antioxidant enzyme, total antioxidant capacity (TAC) as a crude indicator of blood antioxidant potential and concentration of protein carbonyls as a biomarker of protein oxidation. Moreover, C-reactive protein and erythrocyte sedimentation rate as indices of inflammation of the volunteers, as well as the severity of the ARDs through DAS28, PASI and SLEDAI tools will also be estimated. Finally, data regarding the following parameters will be collected: i) physical activity through the international physical activity questionnaire, ii) health status through the health assessment questionnaire, iii) quality of life through the Nottingham health profile questionnaire, iv) fatigue through the fatigue severity scale instrument and by using a visual analogue scale, v) sleep quality through the Pittsburgh sleep quality index and vi) nutritional habits through an one-day recall diary. Finally, the medication history of every patient as well as possible changes in medication will also be recorded. Anticipated outcomes: The levels of redox biomarkers will, at first, give insight about the baseline (i.e., at Day 1) oxidant/antioxidant state in the blood of the patients. In addition, blood redox biomarkers will be correlated to all measured parameters and their potential to diagnose/project the progression of ARDs will be examined. It is expected that blood redox biomarkers could serve as putative diagnostic tools regarding the progression of ARDs and the change in medication.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: GSH concentration will compared between Day 1 and Days 180 and 360
The concentration of reduced form of glutathione (GSH) as a crucial intrinsic antioxidant metabolite will be measured spectrophotometrically in erythrocytes.
Time frame: Protein carbonyl concentration will compared between Day 1 and Days 180 and 360
The concentration of protein carbonyls, as a biomarker of protein oxidation, will be evaluated spectrophotometrically in plasma.
Time frame: TAC will be compared between Day 1 and Days 180 and 360
TAC is a crude biomarker of antioxidant capacity of blood
Time frame: Catalase activity will be compared between Day 1 and Days 180 and 360
Catalase is a primary antioxidant enzyme
Time frame: CRP conentration will be compared between Day 1 and Days 180 and 360
CRP is an established biomarker of acute inflammation
Time frame: Erythrocyte sedimentation rate will be compared between Day 1 and Days 180 and 360]
Erythrocyte sedimentation rate is an index of inflammation
Time frame: Data of DAS28 will be compared between Day 1 and Days 180 and 360
It will be evaluated with the disease activity score 28 (DAS28). It combines 4 components, namely tender joint count, swollen joint count, inflammation and patient global assessment with a 0-100 VAS scale (0 = very good, 100 = very bad).
Time frame: Data of PASI will be compared between Day 1 and Days 180 and 360
It will be evaluated with the psoriasis area and severity Index (PASI). It combines 2 components, namely, severity of skin lesions and area of skin affected. Higher final score implies more severe symptoms.
Time frame: Data of SLEDAI will be compared between Day 1 and Days 180 and 360
It will be evaluated with the SLE disease activity index (SLEDAI). It assesses clinical manifestations and laboratory findings in a scale 1 (less severe) - 8 (more severe).
Time frame: Physical activity levels will be compared between Day 1 and Days 180 and 360
It will be measured through the international physical activity questionnaire (IPAC). Data for minutes of vigorous activity, moderate activity, walking and sitting time is collected. According to the obtained mean exercise time, physical activity levels are considered as high, moderate or low.
Time frame: Health status will be compared between Day 1 and Days 180 and 360
Health status will be evaluated through the health assessment questionnaire
Time frame: The measured parameters of the quality of life of the volunteers will be compared between Day 1 and Days 180 and 360
It will be measured through the SF-36 questionnaire. This instrument has a physical component and a mental component. In particular, SF-36 assesses the following health parameters of the participants: Physical functioning, Role limitations due to physical health, Bodily pain, General health perceptions, Vitality, Social functioning, Role limitations due to emotional problems and Mental health. Each domain is scored from 0 to 100. Higher score = better health or better quality of life.
Time frame: Fatigue levels will be compared between Day 1 and Days 180 and 360
It will be measured through the fatigue severity scale (FSS). FSS is a 9-item, self-administered questionnaire which assesses the magnitude of fatigue that the volunteers have experienced throughout the past weeks. Each item is scored on a 7-point Likert scale ranging from 1 (i.e., completely disagree) to 7 (i.e., completely agree). High values = more severe fatigue.
Time frame: Sleep quality levels will be compared between Day 1 and Days 180 and 360
It will be measured through the Pittsburgh sleep quality index (PSQI). PSQI is a 19-item self-reported questionnaire, which assesses sleep quality and quantity, sleep habits related to quality and occurrence of sleep disturbances consisting of 7 components. Each component score is marked on a 0-3 scale, and the PSQI is calculated as the sum of the 7 components ranging between 0 and 21. Higher final score = better sleep quality.
Time frame: Nutritional habits will be compared between Day 1 and Days 180 and 360
Nutritional habits will be recorded through an one-day recall diary
Time frame: Demographic data will be compared between Day 1 and Days 180 and 360
Body mass index, smoking, alcohol consumption, place of residence, health insurance, educational status, family status and financial status will be collected among others through a questionnaire.
University of Thessaly
Other
Investigation of the Role of Redox Status of Patients With Autoimmune Rheumatic Diseases on Disease Progression: An Epidemiological Study
Acronym: REDOX-ARD
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT01581294
Ankylosis, Arthritis
Drammen, Buskerud, Norway
View Trial DetailsNCT04541810
Ankylosing Spondylitis (AS), Ankylosis
Busan, Busan Gwang Yeogsi, South Korea
View Trial DetailsNCT07188285
Ankylosing Spondylitis, Ankylosis
View Trial DetailsNCT03223012
Ankylosing Spondylitis (AS), Ankylosis
Lisbon, Lisbon District, Portugal
View Trial Details