Evidence review · standard

ll 37

bundle · json · system map · manifest

Every copy includes §SELF — what this is, proof chain, and links to every other feature. No context required.

§SELF — this page explains the system
## §SELF — miscsubjects (paste without context)

**Principle:** Self-explaining payload — no external context required. This _self block describes what you are reading and where to look next.

**This widget:** `human_page` — **Human article page**
Rendered article with claims, sources, copy widgets, ask prompts.
- **article slug:** `ll-37`
- **contains:** rendered article, copy widgets, claims, sources, ask prompts
- **how to use:** Use Copy for LLM or Copy system map — both paste without context.
- **read:** https://miscsubjects.com/a/ll-37

### Logical proof (verify each step)
1. Articles are voxel graphs of tiered claims, not prose blobs. → https://miscsubjects.com/api/articles/constitution
2. Claims link to hash-chained sources via source_ids. → https://miscsubjects.com/api/articles/ll-37/sources
3. Ask reads topology; ingest/claim append to ledger. → https://miscsubjects.com/api/protocol
4. Models queue growth: populate → collaborate → repair → reflex. → https://miscsubjects.com/api/protocol/grow
5. Graph proves its own shape (reflex) and $/claim (yield). → https://miscsubjects.com/graph.html?layer=reflex
6. Full feature index + _explain on every API response. → https://miscsubjects.com/api/articles/system-map

### Related features (explains other parts of the system)
- **bundle** — Paste-ready package: body + claims + sources + voxels + provenance + manifest + constitution. · https://miscsubjects.com/api/articles/ll-37/bundle?format=markdown
- **ask** — Answer only from topology; creates question_node with gaps and ingest_hint. · https://miscsubjects.com/api/articles/ll-37/prompts
- **topology** — Claims, sources, anecdotes, user reports, related embeds, question graph slice — for ask/ROUTER. · https://miscsubjects.com/api/articles/ll-37/topology

### Full index
- JSON: https://miscsubjects.com/api/articles/system-map
- Markdown: https://miscsubjects.com/api/articles/system-map?format=markdown

*Not medical advice. Tier-honest. Cite claim/source ids.*

Regeneration vs degeneration — where this fits

The body is always doing two things at once: breaking down (degeneration) and building back (regeneration). A condition persists when breakdown outruns repair. Most drugs used for symptoms suppress a signal (pain, acid, anxiety, inflammation) without fixing the tissue that caused the signal. Peptides in this ledger are studied for repair pathways: new blood vessels, repair-cell migration, nerve regrowth, gut lining, neural connections. This article maps one compound through that frame — what it is, how it is proposed to work, what evidence exists, and what people report.

Why it would work (logic chain)

No mechanism chain catalogued yet.

How many people take it

There is no reliable global count of how many people take this compound. That number is not in this ledger.

What we can count from this ledger:

  • 0 anecdote source(s) (posts, threads, comments)
  • 0 anecdote-tier claim(s) derived from them

Logic: Without catalogued Reddit/X posts, this article cannot answer how many people take it — only what studies exist.

Evidence inventory

This is a count of what is in this ledger — not a claim about all research worldwide.

  • Scientific sources catalogued (PubMed, trials, reviews): 20
  • Claims tagged human evidence: 0
  • Claims tagged preclinical (animal/lab): 0
  • Claims tagged anecdotal: 0
  • Reddit posts catalogued: 0
  • X posts catalogued: 0
  • Other anecdote sources (YouTube, Instagram, etc.): 0
  • Total sources in chain: 20

Logic: Studies exist in the ledger, but none are graded as strong human proof for the uses people discuss online. Animal and lab work is not the same as proof in people.

Logic: No social posts catalogued yet — we cannot report what people are saying on Reddit or X from this ledger.

Quantified confidence (this ledger): 0.25 / 1.00 — low — animal and anecdote heavy

Formula: human claims×0.12 + preclinical×0.04 + anecdote×0.015 + studies (capped). This is not clinical certainty — it measures how much graded evidence is catalogued here.

What scientists say

Decoding LL-37: Structure and antimicrobial mechanisms ... (source s1)

Details structure, broad antimicrobial activity of LL-37 against bacteria, fungi, viruses.

Evidence type: Published research.

LL-37 antimicrobial peptide: Molecular characterisation ... (source s2)

Narrative review on LL-37 in oral health and disease, 2026 publication.

Evidence type: Published research.

Antimicrobial Peptides of the Cathelicidin Family: Focus on ... (source s3)

Review focusing on LL-37 and modifications for therapies, 2025.

Evidence type: Published research.

Significance of the LL-37 Peptide Delivered from Human ... (source s4)

Explores LL-37 in sepsis treatment contexts, 2025.

Evidence type: Published research.

Human cathelicidin LL-37 rapidly disrupted colonic ... (source s5)

Study on LL-37 effects on colonic epithelium and tight junctions, 2025.

Evidence type: Published research.

Human antimicrobial/host defense peptide LL-37 may ... (source s6)

Update on LL-37 preventing infection spread, 2025 review.

Evidence type: Published research.

LL-37, the master antimicrobial peptide, its multifaceted ... (source s7)

Review on LL-37 roles in infections to cancer immunity, 2025.

Evidence type: Published research.

Antimicrobial peptide LL-37 increases rhinovirus-induced ... (source s8)

LL-37 effects on rhinovirus and immunomodulation, 2025.

Evidence type: Published research.

Study of cathelicidin (LL-37) immunoexpression in the skin ... (source s9)

Immunoexpression study of LL-37 in vitiligo, 2025.

Evidence type: Published research.

LL-37 and citrullinated-LL-37 modulate IL-17A/F-mediated ... (source s10)

Modulation of IL-17 by LL-37 variants, 2025 study.

Evidence type: Published research.

Cathelicidin LL-37 in periodontitis: current research progress and prospects (source s11)

Review on LL-37 expression and roles in periodontitis pathogenesis and treatment.

Evidence type: Published research.

Exploring the Role of Cathelicidin LL-37 and Ceragenins in Wound Healing (source s12)

Review on LL-37 and ceragenins in wound healing.

Evidence type: Published research.

Vitamin D-inducible antimicrobial peptide LL-37 binds SARS-CoV-2 Spike, ORF7a, and ORF8 proteins and inhibits viral replication (source s13)

LL-37 binds SARS-CoV-2 proteins and inhibits replication.

Evidence type: Published research.

LL-37 and bacterial DNA complexes in dental plaque (source s14)

Review on LL-37 and bacterial DNA in dental plaque.

Evidence type: Published research.

Vicenin-2 attenuates rosacea-like inflammation by targeting the IL-17RA/NF-κB pathway (source s15)

LL-37-induced rosacea model and anti-inflammatory effects.

Evidence type: Published research.

LL-37-derived peptide shows promising antimicrobial ... (source s16)

Study on LL-37-derived peptides for antimicrobial activity.

Evidence type: Published research.

CRISPR/Cas9-engineered Salmonella phage displaying ... (source s17)

Research on LL-37 engineered phages for antibacterial effects.

Evidence type: Published research.

Structural determinants of glycosaminoglycan ... (source s18)

LL-37's role in cancer and glycosaminoglycan interactions.

Evidence type: Published research.

---

Not medical advice. Counts and quotes are from this article's hash-chained ledger. Anecdote = real reports, not proof. Animal studies ≠ human proof.

Ll 37 · peptide map

Evidence map

Hover a node — its path lights up. Click to open the article.

Full map →
Evidence · 20 sources · swipe →chain 4ebbcbd468bc · verify chain · provenance
1 / 20
Model swipes · 4 from 1 model · swipe →verify
1 / 4
grok-4.3writer
draft2026-06-29 16:51
ll 37
inspect — what it was prompted & output
prompted with
(default writer prompt)
db58ae5f3164cc50
grok-4.3source_hunt
sources2026-06-29 16:52
10 source(s) added · 10 sources
inspect — what it was prompted & output
prompted with
(default writer prompt)

input: ll-37
it output
5 source(s) added
65d203578c55b0b1
grok-4.3source_hunt
sources2026-06-29 16:52
5 source(s) added · 5 sources
inspect — what it was prompted & output
prompted with
(default writer prompt)

input: ll-37
it output
5 source(s) added
db954139d2a02efd
grok-4.3source_hunt
sources2026-06-29 16:52
5 source(s) added · 5 sources
inspect — what it was prompted & output
prompted with
(default writer prompt)

input: ll-37
it output
5 source(s) added
e12aa5abf713aa01
Ask this article · 2 suggested prompts

Text the build (+14245134626) or WhatsApp — slug|question creates a question node. Paste evidence with ingest slug|q:NODE_ID|your paste.

For my medical situation, what can you answer from your catalogue about ll 37 — and what would you need me to tell you first?
ask ll-37 condition gaps · paste includes §SELF
What good and bad outcomes are documented for ll 37 (studies vs anecdotes)?
ask ll-37 good bad experiences · paste includes §SELF
ll-37 · posted 2026-06-29 · updated 2026-06-29 · 3 prior revisions
Ledger API & provenance
Provenance · 4 model passes · 0 tokens · $0 · 1 model
chain head 4c2984af2845e896
populate-init grok-4.3 · 2026-06-29 16:51 · 0 tok · 14eb6d730dc5
sources grok-4.3 · 2026-06-29 16:52 · 0 tok · c4b7553eed2e
sources grok-4.3 · 2026-06-29 16:52 · 0 tok · 573acdc5c935
sources grok-4.3 · 2026-06-29 16:52 · 0 tok · 4c2984af2845
verify chain →
REST + ledger
read GET /api/articles/ll-37 · GET /api/articles/ll-37?format=post (the editable body)
create/replace POST /api/articles/ll-37 · PUT /api/articles/ll-37 (replace, keeps revision) · PATCH /api/articles/ll-37 (merge)
delete DELETE /api/articles/ll-37
writes need header x-terminal-key
LLM bundle GET /api/articles/ll-37/bundle?format=markdown — body + claims + sources + provenance + manifest
post claim POST /api/protocol/claim · iMessage claim ll-37|tier|assertion
system map GET /api/articles/system-map?format=markdown — root index; every widget self-explains via §SELF / _self
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