The Pep Edit Newsletter

Evidence-based peptide education for women

Peptide research, without the hype.

Research. Real Talk. Results.

Explore peptides Get the monthly digest

For educational purposes only · Not medical advice

The index

Explore by topic

Researching now: hormonal health, sleep, cognition, mcas + histamine and autoimmune. The monthly digest rounds up each new sheet.

Notes from the desk

Latest research

Quality

A COA can look official. Read it anyway.

HPLC purity is not “99% of this vial is peptide.” It is the relative purity of what was detected, not identity, sterility, or every contaminant.

A certificate of analysis is a lab report. It is not a seal of approval. The number people quote, usually a purity figure from HPLC, tells you how much of what the instrument detected matched the main peak. It does not tell you whether that peak is the peptide on the label, whether the vial is sterile, or whether anything the method cannot see is also in there.

Read the note

  • GLPs, menopause, and what we actually know

    Hot flashes, mood, night sweats, weight changes. If a GLP is also in the picture, hormone therapy may change the landscape. The evidence is still early.

    Women’s health

  • How to read a compounding vote

    When a committee votes, the useful post is the named list and the outcome, not a preview that the meeting exists.

    Regulatory

All notes

Orientation

Start here

  1. What are peptides?

    The short version: what a peptide is, how it differs from a protein, and why the distinction actually matters.

  2. How to read a study

    Six questions that separate a mouse headline from a human result, and a marketing claim from either.

  3. Cheat sheets

    One-page reads on the peptides you keep seeing, each graded on the same six-rung ladder.

The framework

How we evaluate quality

The framework we use before trusting any source, supplier, or study.

  1. COAs

    Does the batch number on the certificate match the vial, and is the testing lab named and independent?

  2. Testing

    What method was used, how recent is the test date, and does the result hold up against how the batch was stored?

  3. Sourcing

    Who is actually behind a supplier, and what happens if you ask them a direct question about their process?

  4. Evidence

    Is a claim backed by a real, well-designed study, or just widely repeated until it sounds true?