ReviewHuman vaccines & immunotherapeutics2026
Current landscape of clinical trials for mRNA-based therapeutics.
Review in Human vaccines & immunotherapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Molecular Basis of pH-Dependent Activity in T7 RNA Polymerase Revealed by Constant pH Replica Exchange Molecular Dynamics.ACS physical chemistry Au · 2026Article
- mRNA Therapeutics Beyond Infectious Diseases: Expanding Therapeutic Applications and Future Perspectives.Immunity, inflammation and disease · 2026Review
- Engineering the Future of Precision Medicine: A Comprehensive Guide to RNA Therapeutics.Current issues in molecular biology · 2026Review
- Delivery of mRNA Therapeutics Beyond Infectious Diseases: Design Innovations and Applications in Oncology, Cardiovascular, and Rare Genetic Diseases.Pharmaceuticals (Basel, Switzerland) · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Beyond coronavirus disease 2019 (COVID-19) vaccines, messenger RNA (mRNA)-based therapeutics have increasingly demonstrated potential across other treatment areas. To summarize the clinical research landscape for such products and provide valuable references for researchers working in related fields, mRNA clinical trials registered on ClinicalTrials.gov (CTg) and the Chinese Clinical Trial Registry (ChiCTR) up to June 7, 2025, were analyzed. Twelve key items, including registration number, study title, target disease, interventions, blinding, sponsor, phases, enrollment, funder type, study type and start date, and locations, were analyzed to describe trial characteristics. A total of 557 clinical trials of mRNA-based therapeutics were identified. Most of these studies were conducted in phases 0-3 (n = 412, 73.97%), primarily focusing on infectious diseases (n = 410, 73.61%), and predominantly open-label designs (n = 338, 60.68%). Interventional studies accounted for 85.82% (n = 478) of all registered trials. Industry sponsors were the primary source of funding (n = 299, 53.68%). Approximately 45.06% of the projects (n = 251) aimed to enroll 0-100 participants. Most of the studies involved mRNA vaccines (n = 507, 91.02%). Further, 22 trials investigated mRNA-based therapeutics for rare diseases. Among the newly registered projects in 2024 and 2025, the proportion of phase 0-1 trials significantly increased, accounting for 61.67% and 78.13%, respectively. The top three regions that conducted mRNA clinical studies were North America (n = 186; primarily the United States [n = 178]), Asia (n = 184; China [n = 72]), and Europe (n = 90), based on studies registered in both CTg and ChiCTR. Most mRNA products remain in preapproval clinical trials. Further phase 3 clinical evidence will be essential to support its broader application.
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.