Evidence map›Paper›PMID 27092490›Full record

ReviewInternational journal of molecular sciences2016

Molecular Mechanisms of the Anti-Obesity and Anti-Diabetic Properties of Flavonoids.

Mohammed Kawser Hossain, Ahmed Abdal Dayem, Jihae Han, Yingfu Yin, Kyeongseok Kim, Subbroto Kumar Saha, Gwang-Mo Yang, Hye Yeon Choi, Ssang-Goo Cho

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 3 pooled it
30.2field-weighted citation impact, top 1% 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

172 citing papers in PubMed, 3 syntheses or guidelines pooled it, 491 citations in OpenAlex.

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112 more citing papers are in PubMed but not listed here.

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

9 authors at 1 institution in 1 country.

Mohammed Kawser HossainDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. kawsersau07@gmail.com.
Ahmed Abdal DayemDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. ahmed_morsy86@yahoo.com.
Jihae HanDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. hjh6517@naver.com.
Yingfu YinDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. yfy_21@hotmail.com.
Kyeongseok KimDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. proproggs@naver.com.
Subbroto Kumar SahaDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. subbroto@konkuk.ac.kr.
Gwang-Mo YangDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. slayersgod@nate.com.
Hye Yeon ChoiDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. hyeon.choi24@gmail.com.
Ssang-Goo ChoDepartment of Animal Biotechnology, Animal Resources Research Center, Incurable Disease Animal Model and Stem Cell Institute (IDASI), Konkuk University, Gwangjin-gu, Seoul 05029, Korea. ssangoo@konkuk.ac.kr.
Konkuk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and diabetes are the most prevailing health concerns worldwide and their incidence is increasing at a high rate, resulting in enormous social costs. Obesity is a complex disease commonly accompanied by insulin resistance and increases in oxidative stress and inflammatory marker expression, leading to augmented fat mass in the body. Diabetes mellitus (DM) is a metabolic disorder characterized by the destruction of pancreatic β cells or diminished insulin secretion and action insulin. Obesity causes the development of metabolic disorders such as DM, hypertension, cardiovascular diseases, and inflammation-based pathologies. Flavonoids are the secondary metabolites of plants and have 15-carbon skeleton structures containing two phenyl rings and a heterocyclic ring. More than 5000 naturally occurring flavonoids have been reported from various plants and have been found to possess many beneficial effects with advantages over chemical treatments. A number of studies have demonstrated the potential health benefits of natural flavonoids in treating obesity and DM, and show increased bioavailability and action on multiple molecular targets. This review summarizes the current progress in our understanding of the anti-obesity and anti-diabetic potential of natural flavonoids and their molecular mechanisms for preventing and/or treating obesity and diabetes.

Indexed as

AnimalsAnti-Obesity AgentsDiabetes MellitusFlavonoidsHumansHypoglycemic AgentsObesityAnti-Obesity AgentsFlavonoidsHypoglycemic Agentsanti-diabeticanti-obesitydiabetesflavonoidsmolecular mechanismobesity

Identifiers

PMID27092490
PMCPMC4849025
OpenAlexW2341834065

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.