Evidence map›Paper›PMID 39596212›Full record

ArticleInternational journal of molecular sciences2024

Gene Therapy Approach for Treatment of Obese Agouti Mice.

Maxim A Yunin, Stanislav S Boychenko, Petr Lebedev, Alexey V Deykin, Mikhail V Pokrovskii, Alexander D Egorov

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Maxim A YuninCenter for Translational Medicine, Sirius University of Science and Technology, Olympic Ave. 1, 354340 Sirius, Russia.ORCID 0000-0002-6866-8934
Stanislav S BoychenkoCenter for Translational Medicine, Sirius University of Science and Technology, Olympic Ave. 1, 354340 Sirius, Russia.ORCID 0009-0000-2181-9654
Petr LebedevCenter for Preclinical and Clinical Research, Belgorod State National Research University, 85 Pobedy St., 308015 Belgorod, Russia.
Alexey V DeykinCenter for Preclinical and Clinical Research, Belgorod State National Research University, 85 Pobedy St., 308015 Belgorod, Russia.
Mikhail V PokrovskiiCenter for Preclinical and Clinical Research, Belgorod State National Research University, 85 Pobedy St., 308015 Belgorod, Russia.
Alexander D EgorovCenter for Translational Medicine, Sirius University of Science and Technology, Olympic Ave. 1, 354340 Sirius, Russia.ORCID 0000-0002-5953-8097

Funding

Kuban Science Foundation 22-14-20046Russian Science Foundation 22-14-20046
6 · The paper itself

Abstract

Obesity is a significant metabolic disorder associated with excessive fat accumulation and insulin resistance. In this study, we explored a gene therapy approach to treat obesity in agouti mice using adeno-associated viruses (AAVs) carrying PRDM16, FoxP4, or Follistatin (FST) genes, which are known to promote the browning of white adipose tissue. Mice treated with AAVs encoding PRDM16, FoxP4, or FST genes showed a reduction in body weight (10-14%) within the first three weeks after administration, compared to the control groups. A lipidomic analysis of the adipose tissue revealed a dramatic reduction in triacylglycerol (TAG) species with low carbon numbers (40-54 acyl carbons) in treated mice.

Indexed as

Agouti Signaling ProteinGenetic TherapyObesityAnimalsDependovirusFemaleMice, ObeseMice, TransgenicRecombination, GeneticSubcutaneous FatTranscription FactorsTriglyceridesWeight LossAgouti Signaling ProteinTranscription FactorsTriglyceridesagouti micelipid profilingmass spectrometryobesityTAG

Identifiers

PMID39596212
PMCPMC11594101

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.