Subtopic Deep Dive

Phospholipase A2 Toxins in Snake Venom
Research Guide

What is Phospholipase A2 Toxins in Snake Venom?

Phospholipase A2 toxins in snake venom are secreted enzymes from groups I-IV that hydrolyze phospholipids, causing myotoxicity, neurotoxicity, and anticoagulation via calcium-dependent interfacial activation.

These PLA2s dominate venom proteomes of many species, with transcriptomics and proteomics enabling their quantification (Tasoulis and Isbister, 2017; 590 citations). Studies classify them by structure and link composition to envenoming syndromes (Gutiérrez et al., 2017; 868 citations). Over 100 venom proteome papers highlight their prevalence.

15
Curated Papers
3
Key Challenges

Why It Matters

PLA2 toxins drive clinical syndromes like myonecrosis and coagulopathy in snakebite victims, informing antivenom design (Teixeira et al., 2003; 247 citations). Their mechanisms inspire inhibitors for inflammatory diseases via phospholipid hydrolysis blockade (Oliveira et al., 2022; 246 citations). Postgenomic variations dictate medically important differences, guiding species-specific treatments (Casewell et al., 2014; 312 citations).

Key Research Challenges

Venom PLA2 Variability

PLA2 composition varies postgenomically across species, complicating antivenom efficacy (Casewell et al., 2014; 312 citations). Proteomics shows group-specific dominance but inconsistent quantification (Tasoulis and Isbister, 2017; 590 citations).

Myotoxic Mechanism Elucidation

Calcium-dependent interfacial activation causes inflammation and muscle damage, but precise pathways remain unclear (Teixeira et al., 2003; 247 citations). Animal models reveal effects but lack human translation.

Anticoagulant Inhibition Design

PLA2-induced anticoagulation resists current antivenoms, needing targeted inhibitors (Gutiérrez et al., 2017; 868 citations). Structural diversity hinders broad-spectrum therapies.

Essential Papers

1.

Snakebite envenoming

José Marı́a Gutiérrez, Juan J. Calvete, Abdulrazaq G. Habib et al. · 2017 · Nature Reviews Disease Primers · 868 citations

2.

A Review and Database of Snake Venom Proteomes

Theo Tasoulis, Geoffrey K. Isbister · 2017 · Toxins · 590 citations

Advances in the last decade combining transcriptomics with established proteomics methods have made possible rapid identification and quantification of protein families in snake venoms. Although ov...

3.

Confronting the Neglected Problem of Snake Bite Envenoming: The Need for a Global Partnership

José Marı́a Gutiérrez, R.D.G. Theakston, David A. Warrell · 2006 · PLoS Medicine · 549 citations

Citation: Gutiérrez, J. M., Theakston, R. D. G. & Warrell, D. A. (2006). 'Confronting the neglected problem of snake bite envenoming: the need for a global partnership', PLoS Medicine, 3(6), e1...

4.

The king cobra genome reveals dynamic gene evolution and adaptation in the snake venom system

Freek J. Vonk, Nicholas R. Casewell, Christiaan V. Henkel et al. · 2013 · Proceedings of the National Academy of Sciences · 483 citations

Significance Snake venoms are toxic protein cocktails used for prey capture. To investigate the evolution of these complex biological weapon systems, we sequenced the genome of a venomous snake, th...

5.

Strategy for a globally coordinated response to a priority neglected tropical disease: Snakebite envenoming

David J. Williams, Mohd Abul Faiz, Bernadette Abela-Ridder et al. · 2019 · PLoS neglected tropical diseases · 404 citations

In one of his final essays, statesman and former United Nations secretary general Kofi Annan said, ‘Snakebite is the most important tropical disease you’ve never heard of’ [1]. Mr. Annan firmly bel...

6.

Medically important differences in snake venom composition are dictated by distinct postgenomic mechanisms

Nicholas R. Casewell, Simon C. Wagstaff, Wolfgang Wüster et al. · 2014 · Proceedings of the National Academy of Sciences · 312 citations

Significance The toxic composition of snake venom varies between species. Such variation can have major medical implications for the treatment of human snakebite victims. Venom variation is largely...

7.

The Diversity of Venom: The Importance of Behavior and Venom System Morphology in Understanding Its Ecology and Evolution

Vanessa Schendel, Lachlan D. Rash, Ronald A. Jenner et al. · 2019 · Toxins · 262 citations

Venoms are one of the most convergent of animal traits known, and encompass a much greater taxonomic and functional diversity than is commonly appreciated. This knowledge gap limits the potential o...

Reading Guide

Foundational Papers

Start with Teixeira et al. (2003; 247 citations) for myotoxic mechanisms, Gutiérrez et al. (2006; 549 citations) for envenoming context, and Vonk et al. (2013; 483 citations) for genomic evolution of PLA2s.

Recent Advances

Study Casewell et al. (2014; 312 citations) on postgenomic variations, Oliveira et al. (2022; 246 citations) on medicinal potential, and Schendel et al. (2019; 262 citations) on venom diversity.

Core Methods

Proteomics and transcriptomics for composition (Tasoulis and Isbister, 2017); genomic sequencing for evolution (Vonk et al., 2013); animal models for toxicity assays (Teixeira et al., 2003).

How PapersFlow Helps You Research Phospholipase A2 Toxins in Snake Venom

Discover & Search

Research Agent uses searchPapers and exaSearch to find PLA2-focused venoms, then citationGraph on Gutiérrez et al. (2017; 868 citations) reveals connected proteome studies like Tasoulis and Isbister (2017). findSimilarPapers expands to group I-IV classifications.

Analyze & Verify

Analysis Agent applies readPaperContent to Teixeira et al. (2003) for myotoxic pathways, verifies claims with CoVe against Casewell et al. (2014), and runs PythonAnalysis on venom proteome CSV data for PLA2 abundance stats with GRADE scoring for evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in PLA2 inhibitor trials via contradiction flagging across Oliveira et al. (2022) and Lavonas et al. (2011); Writing Agent uses latexEditText, latexSyncCitations, and latexCompile for review manuscripts with exportMermaid for toxin mechanism diagrams.

Use Cases

"Analyze PLA2 abundance in crotaline venoms from proteome data."

Research Agent → searchPapers('crotaline PLA2 proteome') → Analysis Agent → runPythonAnalysis(pandas on Tasoulis 2017 data) → statistical summary of group distributions and myotoxicity correlations.

"Draft LaTeX review on king cobra PLA2 evolution."

Research Agent → citationGraph(Vonk et al. 2013) → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → formatted PDF with venom system diagrams.

"Find code for snake venom PLA2 simulations."

Research Agent → paperExtractUrls(Oliveira 2022) → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python scripts for molecular dynamics of interfacial activation.

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers on 'PLA2 snake venom myotoxicity', chains to DeepScan for 7-step verification of Teixeira et al. (2003) claims with CoVe checkpoints, producing structured reports. Theorizer generates hypotheses on postgenomic PLA2 regulation from Vonk et al. (2013) and Casewell et al. (2014), validated by runPythonAnalysis on genomic data.

Frequently Asked Questions

What defines phospholipase A2 toxins in snake venom?

Secreted group I-IV enzymes hydrolyzing phospholipids at sn-2 position, causing myotoxicity, neurotoxicity, and anticoagulation through calcium-dependent activation (Teixeira et al., 2003).

What methods study PLA2 venom composition?

Transcriptomics combined with proteomics for rapid identification and quantification, as in over 100 studies (Tasoulis and Isbister, 2017; 590 citations).

What are key papers on PLA2 toxins?

Gutiérrez et al. (2017; 868 citations) on envenoming; Teixeira et al. (2003; 247 citations) on inflammatory myotoxic effects; Casewell et al. (2014; 312 citations) on postgenomic venom differences.

What open problems exist in PLA2 research?

Developing broad-spectrum inhibitors for variable PLA2s across species and translating mechanisms to human antivenom improvements (Oliveira et al., 2022).

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