ReviewToxins2017
Pain-Causing Venom Peptides: Insights into Sensory Neuron Pharmacology.
Review in Toxins, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed, 42 citations in OpenAlex.
- Review
- Review
- Properties and Pharmacology of Scorpion Toxins and Their Biotechnological Potential in Agriculture and Medicine.Toxins · 2025Review
- Flexible Tactile Sensing Systems: Challenges in Theoretical Research Transferring to Practical Applications.Nano-micro letters · 2025Review
- PeptideMiner-neuropeptide discovery across the animal kingdom.GigaScience · 2025Article
- Antivenom Administration After Rattlesnake Envenoming in Arizona Does Not Directly Diminish Pain.Toxins · 2024Article
- Article
- The β3-subunit modulates the effect of venom peptides ProTx-II and OD1 on NaJournal of cellular physiology · 2023Article
- Scorpion Peptides and Ion Channels: An Insightful Review of Mechanisms and Drug Development.Toxins · 2023Review
- Review of the Mechanisms of Snake Venom Induced Pain: It's All about Location, Location, Location.International journal of molecular sciences · 2022Review
- Multitarget nociceptor sensitization by a promiscuous peptide from the venom of the King Baboon spider.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The Geographic Distribution, Venom Components, Pathology and Treatments of Stonefish (Marine drugs · 2021Review
- Pain-related toxins in scorpion and spider venoms: a face to face with ion channels.The journal of venomous animals and toxins including tropical diseases · 2021Review
- Neuropeptide signalling systems - An underexplored target for venom drug discovery.Biochemical pharmacology · 2020Review
- Animal toxins - Nature's evolutionary-refined toolkit for basic research and drug discovery.Biochemical pharmacology · 2020Review
- Article
- Venom Peptides with Dual Modulatory Activity on the Voltage-Gated Sodium Channel NaACS pharmacology & translational science · 2020Article
- Review
- Article
- The NaFrontiers in pharmacology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Venoms are produced by a wide variety of species including spiders, scorpions, reptiles, cnidarians, and fish for the purpose of harming or incapacitating predators or prey. While some venoms are of relatively simple composition, many contain hundreds to thousands of individual components with distinct pharmacological activity. Pain-inducing or "algesic" venom compounds have proven invaluable to our understanding of how physiological nociceptive neural networks operate. In this review, we present an overview of some of the diverse nociceptive pathways that can be modulated by specific venom components to evoke pain.
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What OpenQuestion holds
Registered trials
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.