Evidence map›Paper›PMID 38933259›Full record

ReviewMolecular therapy. Nucleic acids2024

Unlocking the therapeutic potential of locked nucleic acids through lipid nanoparticle delivery.

Shahd Qassem, Dor Breier, Gonna Somu Naidu, Inbal Hazan-Halevy, Dan Peer

Abstract readReview
In one paragraph

Review in Molecular therapy. Nucleic acids, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shahd QassemLaboratory of Precision NanoMedicine, Shmunis School for Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Dor BreierLaboratory of Precision NanoMedicine, Shmunis School for Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Gonna Somu NaiduLaboratory of Precision NanoMedicine, Shmunis School for Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Inbal Hazan-HalevyLaboratory of Precision NanoMedicine, Shmunis School for Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Dan PeerLaboratory of Precision NanoMedicine, Shmunis School for Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Locked nucleic acids (LNAs) are a subtype of antisense oligonucleotides (ASOs) that are characterized by a bridge within the sugar moiety. LNAs owe their robustness to this chemical modification, which as the name suggests, locks it in one conformation. This perspective includes two components: a general overview on ASOs from one side and on delivery issues focusing on lipid nanoparticles (LNPs) on the other side. Throughout, a screening of the ongoing clinical trials involving ASOs is given, as well as a take on the versatility and challenges of using LNAs. Finally, we highlight the potential of LNPs as carriers for the successful delivery of LNAs.

Indexed as

antisense oligonucleotidesgene deliverygenetic medicinelipid nanoparticleslocked nucleic acidsMT: Oligonucleotides: Therapies and Applicationstargeting

Identifiers

PMID38933259
PMCPMC11201112

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.