Evidence map›Paper›PMID 19504347›Full record

ArticleNeurochemical research2009

Targeting BuChE-inflammatory pathway by SK0506 to manage type 2 diabetes and Alzheimer disease.

M A Kamal, Y Tan, J P Seale, X Qu

Abstract read
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In one paragraph

Article in Neurochemical research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 20 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

4 authors at 2 institutions in 1 country.

M A KamalDepartment of Medical & Molecular Biosciences, Faculty of Science, University of Technology Sydney, Broadway 2007, PO Box 123, Sydney, NSW, Australia. Mohammad.Kamal@uts.edu.au
Y Tan
J P Seale
X Qu
University of Technology Sydney · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) and Alzheimer's disease (AD) affect a large percent of the population worldwide. Experimental studies have revealed that T2DM and AD share several molecular processes that underlie their respective degenerative pathology. Based on this information, we quantified TNF-α, IL-6 levels, serum glucose, serum triglyceride, hepatic triglyceride, serum AST, serum ALT and butyrylcholinesterase (BuChE) in various rat tissues. HFD was fed to rats resulting in increased body weight, fasting blood glucose, IL-6, TNF-α levels, hepatic triglyceride, serum AST, serum ALT and BuChE. SK0506 treatment significantly prevented weight gain induced by HFD feeding. SK0506, but not Rosiglitazone, significantly reduced serum and hepatic triglycerides levels. Treatment with SK0506 also ameliorated elevated levels of both inflammatory markers (TNF-α and IL-6) and serum liver enzymes (ALT and AST) significantly in HFD fed rats. BuChE activity also reduced in skeletal muscle and adipose tissues of rats treated by SK0506. In conclusion, current study has opened new potential avenues towards research for management of T2DM and AD by Chinese herbal extracts, ‘‘SK0506’’.

Indexed as

Adipose TissueAlanine TransaminaseAlzheimer DiseaseAnimalsAnti-Inflammatory AgentsAspartate AminotransferasesBlood GlucoseButyrylcholinesteraseDiabetes Mellitus, Type 2Dietary FatsDrugs, Chinese HerbalFatty LiverInflammationInterleukin-6RatsRosiglitazoneAlanine TransaminaseAnti-Inflammatory AgentsAspartate AminotransferasesBlood GlucoseButyrylcholinesteraseDietary FatsDrugs, Chinese HerbalInterleukin-6RosiglitazoneSK0506ThiazolidinedionesTriglyceridesTumor Necrosis Factor-alpha

Identifiers

PMID19504347
OpenAlexW2018761693

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.