Evidence map›Paper›PMID 30740246›Full record

ArticleBioelectronics in medicine2018

From neuroimunomodulation to bioelectronic treatment of rheumatoid arthritis.

Alexandre Kanashiro, Gabriel Shimizu Bassi, Fernando de Queiróz Cunha, Luis Ulloa

Abstract read
In one paragraph

Article in Bioelectronics in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Chronic Pain in Patients with Rheumatoid Arthritis.Current pain and headache reports · 2021
    Review
  9. Review
  10. Review
  11. Unexpected Discoveries Should Be Reconsidered in Science-A Look to the Past?International journal of molecular sciences · 2019
    Article
  12. Article
  13. 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.

Alexandre KanashiroDepartment of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Gabriel Shimizu BassiYueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Fernando de Queiróz CunhaDepartment of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Luis UlloaDepartment of Surgery, Center of Immunology & Inflammation, Rutgers-New Jersey Medical School, Rutgers University, Newark, NJ 07101, USA.

Funding

Dopaminergic regulation of the immune systemR01GM114180 · NIGMS · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ULLOA, LUIS · 2015 to 2018
$1.2M
NIGMS NIH HHS R01 GM114180
6 · The paper itself

Abstract

Neuronal stimulation is an emerging field in modern medicine to control organ function and reestablish physiological homeostasis during illness. The nervous system innervates most of the peripheral organs and provides a fine tune to control the immune system. Most of these studies have focused on vagus nerve stimulation and the physiological, cellular and molecular mechanisms regulating the immune system. Here, we review the new results revealing afferent vagal signaling pathways, immunomodulatory brain structures, spinal cord-dependent circuits, neural and non-neural cholinergic/catecholaminergic signals and their respective receptors contributing to neuromodulation of inflammation in rheumatoid arthritis. These new neuromodulatory networks and structures will allow the design of innovative bioelectronic or pharmacological approaches for safer and low-cost treatment of arthritis and related inflammatory disorders.

Indexed as

bioelectronic medicineneuroimmunomodulationrheumatoid arthritis

Identifiers

PMID30740246
PMCPMC6366640

What OpenQuestion holds

Textmetadata
LicenceTDM
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.