Nanoparticles and siRNA: a new era in therapeutics?
Open accessAbstract
Since its discovery in 1998, the use of small interfering RNA (siRNA) has been increasing in biomedical studies because of its ability to very selectively inhibit the expression of any target gene. Thus, siRNAs can be used to generate therapeutic compounds for different diseases, including those that are currently 'undruggable'. This has led siRNA-based therapeutic compounds to break into clinical settings, with them holding the promise to potentially revolutionise therapeutic approaches. To date, the United States Food and Drug Administration (FDA) have approved 5 compounds for treating different diseases including hypercholesterolemia, transthyretin-mediated amyloidosis (which leads to polyneuropathy), hepatic porphyria, and hyperoxaluria. This current article presents an overview of the molecular mechanisms involved in the selective pharmacological actions of siRNA-based compounds. It also describes the ongoing clinical trials of siRNA-based therapeutic compounds for hepatic diseases, pulmonary diseases, atherosclerosis, hypertriglyceridemia, transthyretin-mediated amyloidosis, and hyperoxaluria, kidney diseases, and haemophilia, as well as providing a description of FDA-approved siRNA therapies. Because of space constraints and to provide an otherwise comprehensive review, siRNA-based compounds applied to cancer therapies have been excluded. Finally, we discuss how the use of lipid-based nanoparticles to deliver siRNAs holds promise for selectively targeting mRNA-encoding…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
siRNA therapies lower triglyceride-rich lipoproteins through liver-targeted silencing of key regulatory genes.
“siRNA therapies lower triglyceride-rich lipoproteins through liver-targeted silencing of key regulatory genes (Pérez-Carrión et al., 2024; Rondinone, 2008; de Paula Brandão et al., 2020; Tian et al., 2025; Tsimikas, 2018).”
From Efficacy and safety of small interfering RNA (siRNA) therapies for hypertriglyceridemia and mixed dyslipidemia: an updated systematic review and meta-analysis (2026) · cites this paper as Pérez-Carrión et al., 2024
The citation lists haven’t been fetched yet
References 110 · Cited by 48
- Authors
- Pérez-Carrión, M. D., Posadas, I., & Ceña, V.
- Affiliations
- Instituto de Salud Carlos III (ES)
- ORCID
- Posadas, Inmaculada
- Venue
- Pharmacological Research
- Publisher
- Elsevier BV
- Published
- 2024-03
- Volume
- 201
- Pages
- 107102
- ISSN
- 1043-6618 (ISSN-L)
- OpenAlex
- W4391737974
- Cited by
- 48
- References
- 110
- Citations by year
- 2026: 13 · 2025: 27 · 2024: 8
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Pharmacological Research (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- España Ministerio de Ciencia Innovación y Universidades
- University of Castilla-La Mancha
- MICINN
- Junta de Comunidades de Castilla-La Mancha
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Keywords
- siRNA therapeutics, lipid nanoparticles, siRNA delivery, RNA interference, hyperoxaluria, hepatic porphyria, hypercholesterolemia, hypertriglyceridemia, lung disease, kidney disease, hemophilia
- MeSH terms
- Humans, Hyperoxaluria, Prealbumin, United States, Amyloid Neuropathies, Familial, RNA, Small Interfering, Nanoparticles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review