The full impact that GLP-1s can have on your health are still being understood, but heres what we know so far
Why is tesamorelin pharmaceutical-approved but the others aren't

For wound healing and scar reduction Acute wound healing: Dose: 2-3mg daily Frequency: Daily until healed Route: Near wound (subcutaneous, NOT into wound) Duration: 2-6 weeks depending on wound Chronic wound protocol: Dose: 2-3mg daily Frequency: Daily Duration: 4-12 weeks Can inject near wound or systemic Scar reduction: Dose: 1-2mg 3-5x weekly Inject near scar tissue 8-16 weeks Old scars need longer (24+ weeks) Expected wound healing: 50-70% faster healing time Reduced scar formation Better tissue quality Less inflammation For general tissue regeneration Systemic tissue health: Dose: 1-2mg Frequency: 3-5x weekly Route: Subcutaneous (any site) Duration: Ongoing for health optimization Benefits: Overall tissue repair Reduced inflammation Better recovery from injuries Enhanced collagen throughout body Improved joint and connective tissue Who uses this: Athletes for recovery Aging individuals for tissue maintenance After surgery for healing Chronic inflammation issues See our best peptides for injury recovery , fast injury healing , best peptides for joint pain , and best peptides for tendon repair

Cohorts analyzed in this study include those summarized in Figure 1A , highlighting major pathway changes ( Human model for the frontal Cortex RNA-seq analysis Postmortem frontal cortex (Brodmann area 8) was collected from individuals with severe COVID-19, age- and sex-matched uninfected controls, and an ICU/ventilator-treated uninfected cohort, with COVID-19 status confirmed by pre-/peri-mortem SARS-CoV-2 qPCR ( Human model for the substantia Nigra RNA-seq analysis Postmortem substantia nigra tissue was obtained from individuals with PCR-confirmed COVID-19 and age- and sex-matched uninfected controls through the NIH NeuroBioBank and affiliated repositories ( Method details Data acquisition and processing (RNA-seq, snRNA-seq) All bulk RNA-seq and snRNA-seq datasets were obtained from previously published studies, with library preparation, sequencing, and initial preprocessing described in the original sources (Experimental Model and Subject Details for more details) ( Bulk RNA-seq count tables were imported into DESeq2 (v1.46.0) (64), and snRNA-seq matrices were preprocessed according to their respective publications before pseudo-bulk conversion

Juanjuan Su et al
To date, their roles are not entirely understood across all organ systems