ReviewPharmaceutics2021
Targeting the Gut Mucosal Immune System Using Nanomaterials.
Review in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 22 citations in OpenAlex.
- Review
- Opinion: Gavage Administration of MXene as a Route-Specific Alternative to Intravenous Injection into the Bloodstream of Laboratory Animals for Reducing Systemic Nanotoxicity Risks in Immunosuppression and Post-Transplantation Models with Bile Acid Modification.Advanced healthcare materials · 2026Article
- Bacterial outer membrane vesicles: a smart platform for biomedical applications.Cell communication and signaling : CCS · 2026Review
- G Protein-Coupled Receptors in Irritable Bowel Syndrome: Mechanisms and Therapeutic Opportunities.International journal of molecular sciences · 2026Review
- Nanoparticle-Driven Modulation of Mucosal Immunity and Interplay with the Microbiome.Journal of microbiology and biotechnology · 2025Review
- Immune Modulation with Oral DNA/RNA Nanoparticles.Pharmaceutics · 2025Review
- Overcoming Biopotency Barriers: Advanced Oral Delivery Strategies for Enhancing the Efficacy of Bioactive Food Ingredients.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- A clinician's perspective on the new organ mesentery and non-vascular mesenteropathies.Frontiers in physiology · 2024Review
- Oral Cell-Targeted Delivery Systems Constructed of Edible Materials: Advantages and Challenges.Molecules (Basel, Switzerland) · 2022Review
- Nasal Nanovaccines for SARS-CoV-2 to Address COVID-19.Vaccines · 2022Review
- Enhancement of intestinal mucosal immunity and immune response to the foot-and-mouth disease vaccine by oral administration of danggui buxue decoction.Frontiers in veterinary science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The gastrointestinal (GI) tract is one the biggest mucosal surface in the body and one of the primary targets for the delivery of therapeutics, including immunotherapies. GI diseases, including, e.g., inflammatory bowel disease and intestinal infections such as cholera, pose a significant public health burden and are on the rise. Many of these diseases involve inflammatory processes that can be targeted by immune modulatory therapeutics. However, nonspecific targeting of inflammation systemically can lead to significant side effects. This can be avoided by locally targeting therapeutics to the GI tract and its mucosal immune system. In this review, we discuss nanomaterial-based strategies targeting the GI mucosal immune system, including gut-associated lymphoid tissues, tissue resident immune cells, as well as GI lymph nodes, to modulate GI inflammation and disease outcomes, as well as take advantage of some of the primary mechanisms of GI immunity such as oral tolerance.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.