Evidence map›Paper›PMID 23476149›Full record

ArticleTheScientificWorldJournal2013

Consumption of Chinese tea-flavor liquor improves circulating insulin levels without affecting hepatic lipid metabolism-related gene expression in Sprague-Dawley rats.

Ju-Sheng Zheng, Yuan-Qing Fu, Qi Chen, Tao Huang, Jing Yang, Duo Li

Open access · goldAbstract read
In one paragraph

Article in TheScientificWorldJournal, 2013. 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
–field-weighted citation impact, top 91% 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, 4 citations in OpenAlex.

  1. Ginseng and obesity.Journal of ginseng research · 2018
    Review
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

6 authors at 1 institution in 1 country.

Ju-Sheng ZhengDepartment of Food Science and Nutrition, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Yuan-Qing Fu
Qi Chen
Tao Huang
Jing Yang
Duo Li
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the effect of two Chinese liquors with quite different nonalcoholic components on insulin sensitivity, tissue polyunsaturated fatty acids (PUFA), and hepatic lipid metabolism in SD rats.

methodsThirty-three SD rats were randomized into four groups and maintained in each treatment for 10 weeks: Chinese tea-flavor liquor (TFL, n=9), traditional Chinese liquor (TCL, n=8), ethanol control (EC, n=8), and water control (WC, n=8).

resultsTFL significantly decreased plasma insulin (P=0.009) and marginally decreased Homeostatic Model Assessment-Insulin Resistance (HOMA-IR) (P=0.05), compared with WC. Hepatic total and n-6 PUFA compositions were significantly decreased in TFL, TCL, and EC groups compared with WC group (P<0.05). TFL significantly increased kidney n-6 PUFA (P=0.05) and total PUFA (P=0.039), compared with EC group. EC group showed significant higher gene expressions of acetyl-CoA carboxylase and steroid response element-binding protein (1c and 2), while there were no significant differences of these gene expressions in TFL or TCL group compared with WC.

conclusionsTFL has a beneficial effect on metabolic disorder in relation to improved circulating insulin levels without affecting hepatic lipid metabolism-related gene expressions in rats.

Indexed as

Alcoholic BeveragesAcetyl-CoA CarboxylaseAnimalsBody WeightDrug Evaluation, PreclinicalFatty Acids, Omega-3Flavoring AgentsHypoglycemic AgentsInsulinInsulin ResistanceKidneyLipid MetabolismLiverMaleRandom AllocationRatsAcetyl-CoA CarboxylaseFatty Acids, Omega-3Flavoring AgentsHypoglycemic AgentsInsulinRNA, Messenger

Identifiers

PMID23476149
PMCPMC3576800
OpenAlexW2031413503

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.