Evidence map›Paper›PMID 34724150›Full record

ArticleJournal of cell communication and signaling2022

Opioid receptors signaling network.

Lathika Gopalakrishnan, Oishi Chatterjee, Namitha Ravishankar, Sneha Suresh, Rajesh Raju, Anita Mahadevan, T S Keshava Prasad

Open access · greenAbstract read
In one paragraph

Article in Journal of cell communication and signaling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  15. The placenta as a target of opioid drugs†.Biology of reproduction · 2022
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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

7 authors at 3 institutions in 1 country.

Lathika GopalakrishnanInstitute of Bioinformatics, International Tech Park, Bangalore, 560 066, India.
Oishi ChatterjeeInstitute of Bioinformatics, International Tech Park, Bangalore, 560 066, India.
Namitha RavishankarInstitute of Bioinformatics, International Tech Park, Bangalore, 560 066, India.
Sneha SureshInstitute of Bioinformatics, International Tech Park, Bangalore, 560 066, India.
Rajesh RajuCenter for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed To Be University), Mangalore, 575 018, India. rajrrnbt@gmail.com.
Anita MahadevanDepartment of Neuropathology, National Institute of Mental Health and Neurosciences, Bangalore, 560 029, India.
T S Keshava PrasadCenter for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed To Be University), Mangalore, 575 018, India. keshav@yenepoya.edu.in.ORCID http://orcid.org/0000-0002-6206-2384
Yenepoya University · INInstitute of Bioinformatics · INNational Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opioid receptors belong to the class A G-protein-coupled receptors and are activated by alkaloid opiates such as morphine, and endogenous ligands such as endorphins and enkephalins. Opioid receptors are widely distributed in the human body and are involved in numerous physiological processes through three major classical opioid receptor subtypes; the mu, delta and kappa along with a lesser characterized subtype, opioid receptor-like (ORL1). Opioids are the most potent analgesics and have been extensively used as a therapeutic drug for the treatment of pain and related disorders. Chronic administration of clinically used opioids is associated with adverse effects such as drug tolerance, addiction and constipation. Several investigations attempted to identify the molecular signaling networks associated with endogenous as well as synthetic opiates, however, there is a paucity of a cumulative depiction of these signaling events. Here, we report a systemic collection of downstream molecules pertaining to four subtypes of opioid receptors (MOR, KOR, DOR and ORL1) in the form of a signaling pathway map. We manually curated reactions induced by the activation of opioid receptors from the literature into five categories- molecular association, activation/inhibition, catalysis, transport, and gene regulation. This led to a dataset of 180 molecules, which is collectively represented in the opioid receptor signaling network following NetPath criteria. We believe that the public availability of an opioid receptor signaling pathway map can accelerate biomedical research in this area because of its high therapeutic significance. The opioid receptors signaling pathway map is uploaded to a freely available web resource, WikiPathways enabling ease of access ( https://www.wikipathways.org/index.php/Pathway:WP5093 ).

Indexed as

NetPathNociceptionOpioid signalingOpioid tolerancePost-translational modificationsProtein–protein interactions

Identifiers

PMID34724150
PMCPMC9411393
OpenAlexW3210616075

What Socratic 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 Socratic graph.