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British Medical Bulletin
Article . 2023 . Peer-reviewed
License: CC BY
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Small interfering RNAs in the management of human osteoporosis

Authors: Giuseppe Gargano; Giovanni Asparago; Filippo Spiezia; Nicola Maffulli; Francesco Oliva;

Small interfering RNAs in the management of human osteoporosis

Abstract

Abstract Background Osteoporosis results in reduced bone mass and consequent bone fragility. Small interfering RNAs (siRNAs) can be used for therapeutic purposes, as molecular targets or as useful markers to test new therapies. Sources of data A systematic search of different databases to May 2023 was performed to define the role of siRNAs in osteoporosis therapy. Fourteen suitable studies were identified. Areas of agreement SiRNAs may be useful in studying metabolic processes in osteoporosis and identify possible therapeutic targets for novel drug therapies. Areas of controversy The metabolic processes of osteoporosis are regulated by many genes and cytokines that can be targeted by siRNAs. However, it is not easy to predict whether the in vitro responses of the studied siRNAs and drugs are applicable in vivo. Growing points Metabolic processes can be affected by the effect of gene dysregulation mediated by siRNAs on various growth factors. Areas timely for developing research Despite the predictability of pharmacological response of siRNA in vitro, similar responses cannot be expected in vivo.

Country
Italy
Keywords

Invited Review, Humans, Osteoporosis, RNA, Small Interfering, RNA interference; RNA silencing; osteoporosis; osteoporosis therapy; short interfering RNA; small interfering RNA.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
134
Top 1%
Top 10%
Top 0.1%
Green
hybrid