Evidence map›Paper›PMID 24132179›Full record

ArticleMarine drugs2013

Enhanced anti-obesity activities of red mold dioscorea when fermented using deep ocean water as the culture water.

Li-Chun Wang, Tzu-Ying Lung, Yi-Hsin Kung, Jyh-Jye Wang, Tsung-Yu Tsai, Bai-Luh Wei, Tzu-Ming Pan, Chun-Lin Lee

Open access · goldAbstract read
In one paragraph

Article in Marine drugs, 2013. 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
3.1field-weighted citation impact, top 10% 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, 24 citations in OpenAlex.

  1. Article
  2. Nutrients · 2023
    Article
  3. Article
  4. Article
  5. Article
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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

8 authors at 4 institutions in 1 country.

Li-Chun WangContinuing Education School, National Taitung Junior College, Taitung 95045, Taiwan. cllee@nttu.edu.tw.
Tzu-Ying Lung
Yi-Hsin Kung
Jyh-Jye Wang
Tsung-Yu Tsai
Bai-Luh Wei
Tzu-Ming Pan
Chun-Lin Lee
National Taitung University · TWFu Jen Catholic University · TWFooyin University · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep ocean water (DOW) has, in previous studies, been found to be a novel anti-obesity drink and useful in raising Monascus-produced monascin and ankaflavin levels. This may resolve the limited anti-obesity ability of red mold dioscorea (RMD) known as the Monascus purpureus-fermented Disocorea batatas. This study aims to compare the anti-obesity effect of DOW-cultured RMD (DOW-RMD) and ultra-pure water-cultured RMD (UPW-RMD) in rats fed on a high fat diet. Moreover, the effect of ions composition of DOW and DOW-influenced functional metabolites change of RMD on the differentiation and lipogenesis regulation were investigated using 3T3-L1 pre-adipocytes. In the animal test, compared to UPW-RMD, DOW-RMD possessed better ability to inhibit increases in weight gain, and better feed efficiency, body-fat pad and cross-sectional area of adipocytes. In the cell test, the anti-obesity abilities of DOW-RMD in inhibiting PPARγ and C/EBPα expression in differentiation and lipoprotein lipase activity in lipogenesis were contributed to by the DOW-increased monascin and ankaflavin levels and the ions of DOW, respectively.

Indexed as

AdipocytesAnimalsAnti-Obesity AgentsDioscoreaFermentationFlavinsFungiHeterocyclic Compounds, 3-RingLipidsMaleMonascusObesityRatsRats, Sprague-DawleySeawaterWaterankaflavinAnti-Obesity AgentsFlavinsHeterocyclic Compounds, 3-RingLipidsmonascinWater

Identifiers

PMID24132179
PMCPMC3826142
OpenAlexW2094643674

What Socratic 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 Socratic graph.