Evidence map›Paper›PMID 22435405›Full record

ReviewJournal of cellular and molecular medicine2012

Histamine: an undercover agent in multiple rare diseases?

Almudena Pino-Ángeles, Armando Reyes-Palomares, Esther Melgarejo, Francisca Sánchez-Jiménez

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 29 citations in OpenAlex.

  1. Science advances · 2022
    Article
  2. Article
  3. Review
  4. Article
  5. Efficacy of DetoxsanWorld journal of gastroenterology · 2019
    Observational
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
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.

Almudena Pino-ÁngelesDpto. Biología Molecular y Bioquímica, Universidad de Málaga, Málaga, Spain.
Armando Reyes-Palomares
Esther Melgarejo
Francisca Sánchez-Jiménez
Centre for Biomedical Network Research on Rare Diseases · ESCentro de Investigación Biomédica en Red · ESInstituto de Salud Carlos III · ESUniversidad de Málaga · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histamine is a biogenic amine performing pleiotropic effects in humans, involving tasks within the immune and neuroendocrine systems, neurotransmission, gastric secretion, cell life and death, and development. It is the product of the histidine decarboxylase activity, and its effects are mainly mediated through four different G-protein coupled receptors. Thus, histamine-related effects are the results of highly interconnected and tissue-specific signalling networks. Consequently, alterations in histamine-related factors could be an important part in the cause of multiple rare/orphan diseases. Bearing this hypothesis in mind, more than 25 rare diseases related to histamine physiopathology have been identified using a computationally assisted text mining approach. These newly integrated data will provide insight to elucidate the molecular causes of these rare diseases. The data can also help in devising new intervention strategies for personalized medicine for multiple rare diseases.

Indexed as

Data MiningGastric JuiceHistamineHistidine DecarboxylaseHumansInflammationNervous System DiseasesRare DiseasesReceptors, G-Protein-CoupledReceptors, HistamineSignal TransductionSynaptic TransmissionSystems BiologyHistamineHistidine DecarboxylaseReceptors, G-Protein-CoupledReceptors, Histamine

Identifiers

PMID22435405
PMCPMC3822965
OpenAlexW2127759064

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.