ReviewInternational journal of nanomedicine2026
How Effective are Nanotechnology-Based Therapeutics to Treat Autoimmune Diseases.
Review in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Nanoparticles for autoimmune diseases: advancing diagnostics and therapeutic solutions.Acta pharmacologica Sinica · 2026Review
- Nanoparticles in Thyroid Autoimmunity: Diagnostic and Therapeutic Applications.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autoimmune diseases are chronic, debilitating conditions caused by the immune system mistakenly attacking healthy tissues. Conventional treatments mainly involve broad immunosuppression, which is associated with significant side effects, limited specificity, and suboptimal long-term outcomes. For instance, continuing to take corticosteroids can result in a number of serious dose-linked toxicities, such as osteoporosis, hypertension, and a markedly increased susceptibility to infection, whereas methotrexate, even at therapeutic doses, can still cause liver damage and bone marrow suppression. This review aims to explore recent advances in nanotechnology-based therapies for autoimmune diseases, focusing on their mechanisms, therapeutic applications, and potential for clinical translation. A comprehensive review of peer-reviewed literature was conducted to examine various nanotechnology platforms, including drug-loaded nanoparticles, antigen-specific nanomedicines, RNA interference (siRNA), CRISPR-enabled systems, and stimuli-responsive nanocarriers. For instance, methotrexate-loaded polymeric nanoparticles dramatically decreased arthritis severity in preclinical rheumatoid arthritis rodents, whereas PLGA nanoparticles containing gluten protein induced immunological tolerance in a clinical study for celiac disease. Nanomedicine offers several advantages over traditional therapies, including targeted drug delivery, enhanced bioavailability, reduced systemic toxicity, and the potential to induce immune tolerance. Notable innovations include biodegradable polymeric nanoparticles, liposomes, micelles, exosome-mimetic nanoparticles, and magnetic nanomaterials. Emerging technologies, such as CRISPR-Cas9 and RNAi, delivered via nanoparticles, are advancing immune modulation in autoimmune models. Despite promising outcomes, several barriers remain, including concerns about toxicity, scale-up manufacturing issues, and regulatory challenges. Nanotechnology is redefining autoimmune disease therapy by shifting from non-specific immunosuppression to precision-targeted approaches. Future progress lies in integrating nanomedicine with personalized medicine to tailor treatments based on individual immune profiles. Continued interdisciplinary collaboration and regulatory alignment are essential to translating these innovations into clinical practice.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.