Evidence mapPaperPMID 39109201Full record

ArticleNutrition research and practice2024

Cryptotanshinone promotes brown fat activity by AMPK activation to inhibit obesity.

Jie Ni, Aili Ye, Liya Gong, Xiafei Zhao, Sisi Fu, Jieya Guo

Abstract read
In one paragraph

Article in Nutrition research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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.

Jie NiDepartment of Endocrinology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang 311202, China.ORCID https://orcid.org/0009-0008-9042-0223
Aili YeDepartment of Endocrinology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang 311202, China.ORCID https://orcid.org/0009-0002-4265-4689
Liya GongDepartment of Endocrinology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang 311202, China.ORCID https://orcid.org/0009-0002-1875-9982
Xiafei ZhaoDepartment of Endocrinology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang 311202, China.ORCID https://orcid.org/0009-0004-1380-8081
Sisi FuDepartment of Endocrinology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang 311202, China.ORCID https://orcid.org/0009-0005-2315-1711
Jieya GuoDepartment of Endocrinology, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang 311202, China.ORCID https://orcid.org/0009-0002-7926-0720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesActivating brown adipose tissue (BAT) and browning of white adipose tissue (WAT) can protect against obesity and obesity-related metabolic conditions. Cryptotanshinone (CT) regulates lipid metabolism and significantly ameliorates insulin resistance. Adenosine-5'-monophosphate (AMP)-activated protein kinase (AMPK), a receptor for cellular energy metabolism, is believed to regulate brown fat activity in humans. MATERIALS/

methodsThe

resultsIn the diet-induced obesity mouse model mice CT suppressed body weight, food intake, glucose levels in the IPGTT and IPTT, serum lipids, the volume of adipose tissue, and increased thermogenesis, uncoupling protein 1, and the AMPK pathway expression. In the

conclusionCT promotes adipose tissue browning to increase body thermogenesis and reduce obesity by activating the AMPK pathway. This study provides an experimental foundation for the use of CT in obesity treatment.

Indexed as

adipocytesbrown fatinsulin resistanceObesitysalvia miltiorrhiza

Identifiers

PMID39109201
PMCPMC11300114

What Socratic 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 Socratic graph.