Evidence map›Paper›PMID 35620446›Full record

ArticleFrontiers in molecular neuroscience2022

Loss of the Sympathetic Signal Produces Sterile Inflammation of the Prostate.

Hao Hu, Yiwen Cui, Jing Yang, Ying Cao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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 at 4 institutions in 1 country.

Hao HuDepartment of Urology, Peking University People's Hospital, Beijing, China.
Yiwen CuiPeking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, Peking University, Beijing, China.
Jing YangShenzhen Bay Laboratory, Shenzhen, China.
Ying CaoAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
National Institute of Biological Sciences, Beijing · CNPeking University · CNPeking University People's Hospital · CNShenzhen Bay Laboratory · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural innervations exert essential roles in the prostate. However, spatial distribution and regulatory function of such neural inputs are incompletely characterized. Here, we exploited the advanced whole-tissue immunolabeling and optical clearing technique to assess the 3D anatomy of autonomic innervations in the mouse and human prostate for the first time. We observed that sympathetic and parasympathetic inputs in the mouse prostate remained unaffected during castration-induced tissue regression. However, the pharmacologic destruction of sympathetic innervations in the mouse prostate led to sterile inflammation of the tissue, mimicking the disease condition of chronic non-bacterial prostatitis. Also, the genetic ablation of sympathetic inputs produced a similar inflammatory response. Furthermore, we showed that treatment of the specific β2-adrenergic receptor agonists could effectively mitigate the prostate inflammation caused by such sympathetic loss. Together, these results have elucidated the new immunomodulatory function of the sympathetic signal

Indexed as

3D fluorescence imagingchronic non-bacterial prostatitisprostatesympathetic innervationsβ2-adrenergic receptor

Identifiers

PMID35620446
PMCPMC9127543
OpenAlexW4280604476

What OpenQuestion holds

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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.