Evidence map›Paper›PMID 35989576›Full record

ArticlePharmaceutical biology2022

Asiaticoside reverses M2 phenotype macrophage polarization-evoked osteosarcoma cell malignant behaviour by TRAF6/NF-κB inhibition.

Dang-Ke Li, Guang-Hui Wang

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Therapeutic potential ofPharmaceutical biology · 2026
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  16. Macrophage Repolarization as a Therapeutic Strategy for Osteosarcoma.International journal of molecular sciences · 2023
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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

2 authors at 1 institution in 1 country.

Dang-Ke LiDepartment of Orthopaedics, Qilu Hospital of Shandong University, Qingdao, China.
Guang-Hui WangDepartment of Orthopaedics, Qilu Hospital of Shandong University, Qingdao, China.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextM2 phenotype macrophage polarization is an attractive target for therapeutic intervention. Asiaticoside (ATS) has multiple pharmacological functions.

objectiveThis study investigates the effect of ATS on M2 phenotype macrophage polarization in osteosarcoma. MATERIALS AND

methodsThe differentiation of human THP-1 monocytes into M0 phenotype macrophages was induced by 100 nM phorbol myristate acetate for 24 h, and treated with 20 ng/mL IL-4 and 20 ng/mL IL-13 for 48 h to obtain M2 phenotype macrophages. The function of ATS on the growth and invasion was investigated by cell counting kit-8, transwell, and western blot under the co-culture of M2 phenotype macrophages and osteosarcoma cells for 24 h. The mechanism of ATS on osteosarcoma was assessed using molecular experiments.

resultsATS reduced the THP-1 cell viability with an IC DISCUSSION AND

conclusionsATS reversed M2 phenotype macrophage polarization-evoked osteosarcoma cell malignant behaviour by reducing TRAF6/NF-κB activity, suggesting ATS might be a promising drug for the clinical treatment of osteosarcoma.

Indexed as

OsteosarcomaTNF Receptor-Associated Factor 6HumansInterleukin-13Interleukin-4MacrophagesNF-kappa BPhenotypeTriterpenesasiaticosideInterleukin-13Interleukin-4NF-kappa BTNF Receptor-Associated Factor 6TriterpenesinvasionTHP-1Tumour necrosis factor receptor-associated factor 6viability

Identifiers

PMID35989576
PMCPMC9415541
OpenAlexW4292572957

What OpenQuestion holds

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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.