Evidence map›Paper›PMID 24073007›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2013

Interaction of Veratrum nigrum with Panax ginseng against Obesity: A Sang-ban Relationship.

Jinbong Park, Yong-Deok Jeon, Hye-Lin Kim, Hara Lim, Yunu Jung, Dong-Hyun Youn, Mi-Young Jeong, Hyun-Ju Kim, Sung-Hoon Kim, Su-Jin Kim and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 23 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

12 authors at 3 institutions in 1 country.

Jinbong ParkCollege of Korean Medicine, Institute of Korean Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-Gu, Seoul 130701, Republic of Korea.
Yong-Deok Jeon
Hye-Lin Kim
Hara Lim
Yunu Jung
Dong-Hyun Youn
Mi-Young Jeong
Hyun-Ju Kim
Sung-Hoon Kim
Su-Jin Kim
Seung-Heon Hong
Jae-Young Um
Kyung Hee University · KRWonkwang University · KRDaegu Haany University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity has become a major health threat in developed countries. However, current medications for obesity are limited because of their adverse effects. Interest in natural products for the treatment of obesity is thus rapidly growing. Korean Medicine (KM) is characterized by the wide use of herbal formulas. However, the combination rule of herbal formulas in KM lacks experimental evidence. According to Shennong's Classic of Materia Medica, the earliest book of herbal medicine, Veratrum nigrum (VN) has antagonistic features against Panax ginseng (PG), and the PG-VN pair is strictly forbidden. In this study, we have shown the effects of PG, VN, and their combination on obesity in high-fat (HF) diet-induced obese mice and in 3T3-L1 cells. PG, VN, and PG-VN combination significantly reduced weight gain and the fat pad weight in HF diet-induced obese mice. They also significantly decreased lipid accumulation and the expressions of two major adipogenesis factors, PPAR γ and C/EBP α , in 3T3-L1 cells. In addition, the PG-VN combination had synergistic effects compared with the mixture of extracts of PG and VN on inhibition of PPAR γ and C/EBP α expressions at lower doses. These results indicate a new potential anti-obese pharmacotherapy and also provide scientific evidence supporting the usage of herbal combinations instead of mixtures in KM.

Identifiers

PMID24073007
PMCPMC3773901
OpenAlexW2099358427

What OpenQuestion holds

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Registered trials

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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.