Evidence map›Paper›PMID 35034283›Full record

ArticleMolecular biology reports2022

Mechanism of protection from insulin resistance by toll-like receptor 2 deficiency in high-fat diet fed mice: involvement in macrophage polarization.

Yu Ma, Xinyue Liu, Yaliu Wu, Wendong Wang, Xiaotong Chang

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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 at 2 institutions in 2 countries.

Yu MaKey Laboratory of Clinical Diagnostics, Hebei North University, No 11, Zuanshi South Road, Zhangjiakou, 075000, Hebei, China.
Xinyue LiuKey Laboratory of Clinical Diagnostics, Hebei North University, No 11, Zuanshi South Road, Zhangjiakou, 075000, Hebei, China.
Yaliu WuTianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, 300120, China.
Wendong WangKey Laboratory of Clinical Diagnostics, Hebei North University, No 11, Zuanshi South Road, Zhangjiakou, 075000, Hebei, China.
Xiaotong ChangKey Laboratory of Clinical Diagnostics, Hebei North University, No 11, Zuanshi South Road, Zhangjiakou, 075000, Hebei, China. changxt1212@vip.sina.com.ORCID http://orcid.org/0000-0002-4658-4297
Hebei North University · CNTianjin University of Traditional Chinese Medicine · CN

Funding

the key programs of educational commission of hebei province of china No. ZD2018076
6 · The paper itself

Abstract

backgroundToll-like receptor 2 (TLR2) deficiency can increase insulin sensitivity and improves glucose tolerance. However, it is not yet fully understood about its underlying mechanism. The regulation of M1/M2 macrophage polarization has been verified to involve in insulin resistance. Here, we evaluated whether the beneficial effect of TLR2 deficiency is mediated by TLR2-associated macrophage polarization in mice fed with high-fat diet (HFD). METHODS AND

resultsWild-type and TLR2 knockout (TLR2

conclusionsOur results reveal that TLR2 knockout-mediated macrophages M2 polarization is a crucial factor for preventing against diet-induced insulin resistance in mice. These findings deepen our knowledge about the mechanism underlying HFD-induced insulin resistance.

Indexed as

Insulin ResistanceAdipose TissueAnimalsDiet, High-FatInflammationMacrophagesMiceMice, Inbred C57BLObesityToll-Like Receptor 2Toll-Like Receptor 2Adipose tissueHigh-fat dietInsulin resistanceMacrophage polarizationToll-like receptors 2

Identifiers

PMID35034283
OpenAlexW4206633004

What OpenQuestion holds

Textmetadata
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.