ReviewTherapeutic delivery2013
Developing siRNA therapies to address osteoporosis.
Review in Therapeutic delivery, 2013. 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, 24 citations in OpenAlex.
- A comprehensive review and advanced biomolecule-based therapies for osteoporosis.Journal of advanced research · 2025Review
- Cationic Hydroxyethyl Cellulose Nanocomplexes and RANK siRNA/Zoledronate Co-Delivery Systems for Osteoclast Inhibition.Pharmaceutics · 2024Article
- Ultrasound-Responsive Nanobubbles for Combined siRNA-Cerium Oxide Nanoparticle Delivery to Bone Cells.Pharmaceutics · 2023Article
- Bubble-Based Drug Delivery Systems: Next-Generation Diagnosis to Therapy.Journal of functional biomaterials · 2023Review
- Downregulation of the RNA-binding protein PUM2 facilitates MSC-driven bone regeneration and prevents OVX-induced bone loss.Journal of biomedical science · 2023Article
- The complex pathophysiology of bone fragility in obesity and type 2 diabetes mellitus: therapeutic targets to promote osteogenesis.Frontiers in endocrinology · 2023Review
- Molecular Mechanisms and Emerging Therapeutics for Osteoporosis.International journal of molecular sciences · 2020Review
- Integrative Analysis of Regulatory Module Reveals Associations of Microgravity with Dysfunctions of Multi-body Systems and Tumorigenesis.International journal of molecular sciences · 2020Article
- Molecular-Based Treatment Strategies for Osteoporosis: A Literature Review.International journal of molecular sciences · 2019Review
- Small non-coding RNAs-based bone regulation and targeting therapeutic strategies.Molecular and cellular endocrinology · 2017Review
- Lipid Nanoparticle Delivery of siRNA to Osteocytes Leads to Effective Silencing of SOST and Inhibition of Sclerostin In Vivo.Molecular therapy. Nucleic acids · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Osteoporosis is a skeletal system pathology characterized by low bone mineral density and tissue structural deterioration. This malady is associated with high fracture risk that severely compromises quality of life. Osteoporosis incidence is becoming more significant with increasing lifespan worldwide. However, current approaches for treating osteoporosis cannot and do not treat the disease in the most ideal manner for diverse reasons. Substantial research has sought both the discovery of new targets and new therapies. In this review, emerging possible RNAi-mediated therapeutic opportunities for osteoporosis are identified and associated challenges discussed. Targeted delivery strategies capable of more reliable and efficient delivery to skeletal tissue are described, as well as possibilities to treat bone-forming cells with siRNA to produce cell-based therapy.
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.