Evidence map›Paper›PMID 38595789›Full record

ArticleFrontiers in nutrition2024

The identification of a novel shared therapeutic target and drug across all insulin-sensitive tissues under insulin resistance.

Jinyuan Xu, Lilin Zhu, Jie Xu, Kailong Lin, Juan Wang, Yan-Long Bi, Guo-Tong Xu, Haibin Tian, Furong Gao, Caixia Jin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 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
0.2field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Jinyuan XuDepartment of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Lilin ZhuDepartment of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Jie XuDepartment of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Kailong LinDepartment of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Juan WangDepartment of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Yan-Long BiDepartment of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Guo-Tong XuDepartment of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Haibin TianDepartment of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Furong Gao *Department of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Caixia Jin *Department of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Lixia Lu *Department of Ophthalmology, Shanghai Tongji Hospital Affiliated to Tongji University, School of Medicine, Tongji Eye Institute, Shanghai, China.
Tongji Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To identify key and shared insulin resistance (IR) molecular signatures across all insulin-sensitive tissues (ISTs), and their potential targeted drugs. Methods: Three datasets from Gene Expression Omnibus (GEO) were acquired, in which the ISTs (fat, muscle, and liver) were from the same individual with obese mice. Integrated bioinformatics analysis was performed to obtain the differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) was carried out to determine the "most significant trait-related genes" (MSTRGs). Enrichment analysis and PPI network were performed to find common features and novel hub genes in ISTs. The shared genes of DEGs and genes between DEGs and MSTRGs across four ISTs were identified as key IR therapeutic target. The Attie Lab diabetes database and obese rats were used to verify candidate genes. A medical drug-gene interaction network was conducted by using the Comparative Toxicogenomics Database (CTD) to find potential targeted drugs. The candidate drug was validated in Hepa1-6 cells. Results: Lipid metabolic process, mitochondrion, and oxidoreductase activity as common features were enriched from ISTs under an obese context. Thirteen shared genes (Ubd, Lbp, Hp, Arntl, Cfd, Npas2, Thrsp., Tpx2, Pkp1, Sftpd, Mthfd2, Tnfaip2, and Vnn3) of DEGs across ISTs were obtained and confirmed. Among them, Ubd was the only shared gene between DEGs and MSTRGs across four ISTs. The expression of Ubd was significantly upregulated across four ISTs in obese rats, especially in the liver. The IR Hepa1-6 cell models treated with dexamethasone (Dex), palmitic acid (PA), and 2-deoxy-D-ribose (dRib) had elevated expression of Ubd. Knockdown of Ubd increased the level of p-Akt. A lowing Ubd expression drug, promethazine (PMZ) from CTD analysis rescued the decreased p-Akt level in IR Hepa1-6 cells. Conclusion: This study revealed Ubd, a novel and shared IR molecular signature across four ISTs, as an effective biomarker and provided new insight into the mechanisms of IR. PMZ was a candidate drug for IR which increased p-Akt level and thus improved IR by targeting Ubd and downregulation of Ubd expression. Both Ubd and PMZ merit further clinical translational investigation to improve IR.

Indexed as

bioinformaticsinsulin resistanceinsulin-sensitive tissuespromethazineubiquitin D

Identifiers

PMID38595789
PMCPMC11002099
OpenAlexW4393197200

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.