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Peptide Human Effect Matrix

Compare 32 peptides across 43 research outcomes in an interactive heatmap. Visualize which compounds have the strongest evidence for specific goals like muscle growth, fat loss, cognitive enhancement, or injury recovery.

The most comprehensive evidence-based database of peptide effects on human health outcomes. Search by compound or by health outcome. Every entry is graded by clinical evidence strength.

32
Compounds
43
Outcomes
380+
Data Entries
Research Reference Only. This matrix summarizes published research and is not medical advice. Peptides listed may be investigational, prescription-only, or not approved for human use. Always consult a qualified healthcare provider. Grading reflects evidence quality, not clinical recommendation.

Evidence Grading Methodology

Our grading methodology is inspired by Examine.com's evidence-based approach, adapted specifically for the peptide research landscape. Each compound-outcome pair is independently evaluated.

Evidence Grade

A
Grade A — Multiple randomized controlled trials (RCTs) in humans with consistent findings. Strong, reproducible evidence.
B
Grade B — Limited RCTs, strong observational studies, or robust animal data with mechanistic plausibility. Promising but not definitive.
C
Grade C — Preliminary research, case reports, in vitro studies, or limited and conflicting evidence. Requires further investigation.
D
Grade D — Insufficient evidence, theoretical basis only, or single low-quality study. Not supported for clinical conclusions.

Direction of Effect

  • ↑↑ Strong Increase — Consistent, clinically significant increase observed
  • ↑ Minor Increase — Trend toward increase or modest effect size
  • ↔ No Change — No significant effect observed (can be a positive finding)
  • ↓ Minor Decrease — Trend toward decrease or modest effect size
  • ↓↓ Strong Decrease — Consistent, clinically significant decrease observed

Magnitude

  • High — Large effect size; clinically meaningful change relative to placebo/control
  • Moderate — Moderate effect size; potentially clinically relevant
  • Low — Small effect size; statistically significant but marginal clinical relevance
  • Negligible — Minimal or no meaningful effect beyond placebo

Confidence Score

The confidence percentage in Outcome View reflects our overall confidence in the direction and magnitude of effect, considering study quality, sample sizes, consistency of findings, and mechanistic plausibility. It is not a statistical confidence interval.

Limitations

Many peptides lack robust human clinical data. Animal and in vitro research, while informative, may not translate directly to human outcomes. Off-label and research-use peptides may have limited or no regulatory approval. This matrix is a research reference tool, not clinical guidance.

Popular Protocols

Semaglutide Protocol Tirzepatide Protocol BPC-157 Protocol MK-677 Protocol TB-500 Protocol Ipamorelin Protocol CJC-1295 + Ipamorelin Protocol GHK-Cu Protocol Peptide Catalog
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Frequently Asked Questions

Which peptides work best for muscle recovery?

BPC-157 and TB-500 are the most widely researched peptides for muscle and tissue recovery. BPC-157 promotes angiogenesis and accelerates tendon, ligament, and muscle healing through VEGF and nitric oxide pathways. TB-500 upregulates actin and promotes cell migration to injury sites. Growth hormone secretagogues like Ipamorelin and CJC-1295 also support recovery by elevating GH and IGF-1 levels, which drive protein synthesis and tissue repair. Many protocols combine these compounds for synergistic effects.

What peptides help with fat loss?

GLP-1 receptor agonists such as semaglutide and tirzepatide have the strongest clinical evidence for fat loss, with trials showing 15-22% body weight reduction. Tesamorelin specifically reduces visceral adipose tissue through targeted GH release. AOD-9604, a fragment of human growth hormone, has been studied for its lipolytic effects without affecting blood sugar. Growth hormone secretagogues like Ipamorelin and CJC-1295 indirectly support fat metabolism by elevating endogenous GH, which promotes lipolysis during fasting states.

How do I compare peptide effects across categories?

The Effect Matrix organizes peptide evidence by health outcome categories such as body composition, recovery, cognition, sleep, and immune function. Each compound receives an evidence grade (A through D) based on the quality and quantity of published research, including human clinical trials, animal studies, and in vitro data. You can filter by category to see which peptides have the strongest evidence for a specific outcome, or search by compound to view its full effect profile across all categories. This allows systematic, evidence-based comparison rather than relying on anecdotal reports.

Related Tools & Resources

🎯 Peptide Match Tool ⚖️ Compare Compounds 📚 Peptide Catalog 🔬 Mechanism Explorer
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