Evidence map›Paper›PMID 40672614›Full record

ReviewAmerican journal of translational research2025

Cross-regulation between adipose tissue innervation and metaflammation: a potential therapeutic target for obesity.

Weichang Shi, Huiwen Tan, Chenqian Liao, Zhenmei An

Abstract readReview
In one paragraph

Review in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors.

Weichang ShiJincheng Community Healthcare Center Chengdu 610000, Sichuan, China.
Huiwen TanDepartment of Endocrinology, West China Hospital, Sichuan University Chengdu 610047, Sichuan, China.
Chenqian LiaoJincheng Community Healthcare Center Chengdu 610000, Sichuan, China.
Zhenmei AnDepartment of Endocrinology, West China Hospital, Sichuan University Chengdu 610047, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity, marked by adipose tissue dysfunction and systemic metaflammation, poses a major global health burden. Emerging evidence underscores a critical interplay between neural regulation and immune-metabolic crosstalk in obesity pathogenesis. This review highlights the dynamic roles of sympathetic and sensory nerves in lipid metabolism, as well as metaflammation involving macrophage polarization, inflammatory cytokine cascades, and mitochondrial dysfunction. In obesity, decreased sympathetic nerve density and impaired adrenergic receptor signaling compromise lipolysis and thermogenesis, while sensory neuropeptides worsen metabolic dysregulation through immune cell interactions. Adipose tissue macrophages adopt pro-inflammatory phenotypes, releasing cytokines that inhibit insulin signaling - forming pathological crown-like structures. Mitochondrial dysfunction, characterized by excessive fission and reduced fusion, disrupts energy homeostasis and increases oxidative stress. Therapeutic approaches targeting neuropeptide signaling, inflammasome activation, and mitochondrial dynamics show promise in restoring metabolic balance. The neuro-immune-metabolic axis thus represents a novel therapeutic frontier for obesity, supporting integrated strategies targeting neural, inflammatory, and mitochondrial pathways.

Indexed as

Adipose tissue innervationmetaflammationmitochondrial dynamicsneuro-immune crosstalkobesity

Identifiers

PMID40672614
PMCPMC12261201

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.