ReviewToxins2018
Application of Metabolomic Tools for Studying Low Molecular-Weight Fraction of Animal Venoms and Poisons.
Review in Toxins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- A multi-species lipidomic analysis of viperid snake venoms from the Americas.Archives of toxicology · 2026Article
- Article
- Prickly Defenders: A Review of Venomous Sea Urchins (Echinoidea).Marine drugs · 2025Review
- Metabolomics and proteomics: synergistic tools for understanding snake venom inhibition.Archives of toxicology · 2025Review
- Organ-resolved lipid mapping inFrontiers in chemistry · 2025Article
- Review
- Chemistry and the Potential Antiviral, Anticancer, and Anti-Inflammatory Activities of Cardiotonic Steroids Derived from Toads.Molecules (Basel, Switzerland) · 2022Review
- Modern venomics-Current insights, novel methods, and future perspectives in biological and applied animal venom research.GigaScience · 2022Article
- Eusociality is linked to caste-specific differences in metabolism, immune system, and somatic maintenance-related processes in an ant species.Cellular and molecular life sciences : CMLS · 2021Article
- Toxic Animal-Based Medicinal Materials Can Be Effective in Treating Endometriosis: A Scoping Review.Toxins · 2021Article
- Identification and quantification of honeybee venom constituents by multiplatform metabolomics.Scientific reports · 2020Article
- Article
- A metabolomic study for chronic heart failure patients based on a dried blood spot mass spectrometry approach.RSC advances · 2020Article
- Extending Metabolomic Studies ofToxins · 2019Article
- Article
- Snake Venom Peptides: Tools of Biodiscovery.Toxins · 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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Both venoms and poisonous secretions are complex mixtures that assist in defense, predation, communication, and competition in the animal world. They consist of variable bioactive molecules, such as proteins, peptides, salts and also metabolites. Metabolomics opens up new perspectives for the study of venoms and poisons as it gives an opportunity to investigate their previously unexplored low molecular-weight components. The aim of this article is to summarize the available literature where metabolomic technologies were used for examining the composition of animal venoms and poisons. The paper discusses only the low molecular-weight components of venoms and poisons collected from snakes, spiders, scorpions, toads, frogs, and ants. An overview is given of the analytical strategies used in the analysis of the metabolic content of the samples. We paid special attention to the classes of compounds identified in various venoms and poisons and potential applications of the small molecules (especially bufadienolides) discovered. The issues that should be more effectively addressed in the studies of animal venoms and poisons include challenges related to sample collection and preparation, species-related chemical diversity of compounds building the metabolome and a need of an online database that would enhance identification of small molecule components of these secretions.
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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.