B7-33
B7-33 is a scientifically interesting relaxin mimetic, but its evidence remains preclinical.
At a glance
- Evidence stage
- Preclinical
- Regulatory status
- Early-stage research peptide; no FDA-approved B7-33 medicine or established human efficacy.
- Research context
- B7-33 is a single-chain relaxin-2 B-chain mimetic studied in receptor signaling and animal models of fibrosis and cardiac remodeling.
What this is
- A functionally selective relaxin-family receptor 1 agonist
- A preclinical peptide research program
What this isn't
- A proven anti-fibrotic treatment
- Evidence that rodent cardiac or vascular findings predict human benefit
Key terms
Educational information only — not medical advice. This page does not diagnose a condition, recommend treatment, or replace care from a qualified clinician. The evidence stage and regulatory status below apply to the named molecule and indication, not to every product sold under a similar name.
B7-33 is a synthetic peptide designed from the B-chain of human relaxin-2. Cell and animal studies have examined RXFP1 signaling, vascular effects, and cardiac remodeling. Those results help define a research program; they do not establish safety, product quality, or efficacy in people.
Evidence limits
How to read the evidence
Educational information only — not medical advice. This page does not diagnose a condition, recommend treatment, or replace care from a qualified clinician. The evidence stage and regulatory status below apply to the named molecule and indication, not to every product sold under a similar name.
A useful evidence map separates receptor pharmacology, ex vivo vascular studies, rodent disease models, and human clinical testing. B7-33 currently has meaningful preclinical literature but remains on the preclinical side of that boundary.
External sources and citations
- B7-33, a functionally selective relaxin receptor agonist, in myocardial remodeling. Circulation Research, 2020
- A single-chain derivative of relaxin is a functionally selective RXFP1 agonist. Chemical Science, 2016
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