Evidence map›Paper›PMID 38802651›Full record

ReviewPurinergic signalling2025

Caffeine: a potential mechanism for anti-obesity.

Meng Wang, Wei Guo, Jiang-Fan Chen

Abstract readReview
In one paragraph

Review in Purinergic signalling, 2025. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

3 authors.

Meng WangInternational Joint Research Center on Purinergic Signaling, School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China.
Wei GuoThe Molecular Neuropharmacology Laboratory and the Eye-Brain Research Center, State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
Jiang-Fan ChenThe Molecular Neuropharmacology Laboratory and the Eye-Brain Research Center, State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China. chenjf555@gmail.com.ORCID 0000-0002-0446-3956

Funding

Key Research Project from Zhejiang Provincial Administration of Science & Technology. 2023C03079Pro-gram Project from the State Key Laboratory of Ophthalmology, Optometry and Vision Science, Wenzhou Medical University J01-20190101the National Natural Science Foundation of China 82151308the Research Fund for International Senior Scientists 82150710558
6 · The paper itself

Abstract

Obesity refers to the excessive accumulation of fat caused by a long-term imbalance between energy intake (EI) and energy expenditure (EE). Over recent years, obesity has become a major public health challenge. Caffeine is a natural product that has been demonstrated to exert anti-obesity effects; however, the mechanisms responsible for the effect of caffeine on weight loss have yet to be fully elucidated. Most obesity-related deaths are due to cardiovascular disease. Recent research has demonstrated that caffeine can reduce the risk of death from cardiovascular disease; thus, it can be hypothesized that caffeine may represent a new therapeutic agent for weight loss. In this review, we synthesize data arising from clinical and animal studies over the last decade and discuss the potential mechanisms by which caffeine may induce weight loss, focusing particularly on increasing energy consumption, suppressing appetite, altering lipid metabolism, and influencing the gut microbiota. Finally, we summarize the major challenges associated with caffeine and anti-obesity research and highlight possible directions for future research and development.

Indexed as

Anti-Obesity AgentsCaffeineObesityAnimalsEnergy MetabolismHumansLipid MetabolismWeight LossAnti-Obesity AgentsCaffeineAppetiteCaffeineEnergy consumptionLipid metabolismObesity

Identifiers

PMID38802651
PMCPMC12454747

What OpenQuestion holds

Textmetadata
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.