Evidence map›Paper›PMID 38779336›Full record

ArticleMolecular therapy. Methods & clinical development2024

siRNA-mediated reduction of a circulating protein in swine using lipid nanoparticles.

Massimo F Cau, Francesca Ferraresso, Monica Seadler, Katherine Badior, Youjie Zhang, Laura M Ketelboeter, Geoffrey G Rodriguez, Taylor Chen, Matteo Ferraresso, Amanda Wietrzny and 6 more

Abstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Massimo F CauMichael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Francesca FerraressoMichael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Monica SeadlerVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Katherine BadiorVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Youjie ZhangVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Laura M KetelboeterVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Geoffrey G RodriguezVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Taylor ChenVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Matteo FerraressoVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Amanda WietrznyVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Madelaine RobertsonMichael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Amber HaugenVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Pieter R CullisDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Marc de MoyaDepartment of Surgery, Division of Trauma and Acute Care Surgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Mitchell DyerVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Christian J KastrupMichael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic manipulation of animal models is a fundamental research tool in biology and medicine but is challenging in large animals. In rodents, models can be readily developed by knocking out genes in embryonic stem cells or by knocking down genes through

Indexed as

bleedingcoagulationfibrinolysisgene therapyintravenouslivernanomedicinenucleic acidspigsporcine

Identifiers

PMID38779336
PMCPMC11109470

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.