Evidence map›Paper›PMID 38255968›Full record

ArticleInternational journal of molecular sciences2024

Let-7a-5p Regulates Animal Lipid Accumulation by Targeting Srebf2 and Thbs1 Signaling.

Jiahao Shao, Genglong Jiang, Yanhong Li, Meigui Wang, Tao Tang, Jie Wang, Xianbo Jia, Songjia Lai

Open access · goldAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Jiahao ShaoCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Genglong JiangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0009-0002-4349-4736
Yanhong LiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Meigui WangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Tao TangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Jie WangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0002-1399-7079
Xianbo JiaCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0002-6885-4104
Songjia LaiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0003-2830-2425
Sichuan Agricultural University · CN

Funding

Key Research and Development Program of Sichuan Province 2021YFYZ0033National Modern Agricultural Industrial Technology System CARS-43-A-2
6 · The paper itself

Abstract

Recently, the trend of obesity is becoming increasingly prevalent, and the underlying pathogenesis of obesity is complex and needs to be researched further. In this study, we report a decreased expression of let-7a-5p in the white adipose tissue (WAT) of animals with obesity. Using the RNA oligo, let-7a-5p over-expression or suppression-expression is achieved, impacting the proliferation and differentiation of preadipocytes in vitro.

Indexed as

Lipid MetabolismPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktAnimalsObesityTOR Serine-Threonine KinasesPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTOR Serine-Threonine Kinaseshigh-fat dietlipid accumulationpreadipocyteswhite adipose tissue

Identifiers

PMID38255968
PMCPMC10815625
OpenAlexW4390749229

What OpenQuestion 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 OpenQuestion graph.