The Importance of Diagnosing and Predicting Rheumatic Diseases: Biomarkers, Indexes and Tools
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Physiology and Pathology".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 7324
Special Issue Editors
2. Fisiología Vegetal Departamento Ciencias Farmacéuticas y de la Salud Facultad de Farmacia Universidad San Pablo‐CEU Universities Boadilla del Monte, 28668 Madrid, Spain
Interests: Prediction and Prognosis biomarkers; bioinformatics; GWAS; epiGWAS; SNPs; severity scores
2. Chair UAM-ROCHE, EPID-Future, Universidad Autónoma de Madrid (UAM), 28034 Madrid, Spain
Interests: rheumatoid arthritis; psoriatic arthritis; vasculitis; comorbidities
Special Issue Information
Dear Colleagues,
Rheumatoid arthritis (RA) is a common systemic autoimmune disease with a prevalence of around 1% in the general population. Although the aetiopathogenesis of RA has not been fully elucidated, it is considered a complex disease in which the interaction between genetic, environmental and stochastic factors leads to a chronic infiltration of the synovial membrane by a variety of cells of the immune system, and, finally, radiographic progression and joint destruction.
During the last few years, solid evidence has confirmed the usefulness of early therapeutic intervention in the “window of opportunity”, with T2T strategies focused on achieving sustained remission, or at least low disease activity, leading to better outcomes. In order to offer patients tailored therapy to improve efficacy and reduce side effects, reliable and efficient prediction and prognosis biomarkers are needed, as well as severity indices. Along these lines, attempts have been made to generate predictive models that combine different biomarkers, although many environmental, molecular, genetic and epigenetic factors involved in the disease remain to be investigated. Additionally, the application of novel tools such as artificial intelligence or machine learning techniques could be useful to predict the response and safety of drugs used for the treatment of RA.
Finally, it should be noted that cardiovascular and pulmonary combabilities now constitute the main causes of mortality in RA. In this sense, the biomarkers under development to predict patients who are at risk of developing these comorbidities are of special interest, with the aim of anticipating their diagnosis and establishing early treatment. This Special Issue attempts to review the best predictive models of the evolution of the disease and provide tools to help the physician to make decisions about the best treatment for the patient.In this Special Issue, we will also address the importance of some biomarkers for the early detection of the main comorbidities associated with RA.
Dr. Nuria Montes
Dr. Santos Castaneda
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Life is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- prediction and prognosis biomarkers
- bioinformatics
- GWAS
- epiGWAS
- SNPs
- severity scores
- combabilities
- cardiovascular and pulmonary combabilities
- predictive models
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
