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Here we find increased proportion of pro-inflammatory and mesenchymal fibroblast subpopulations and senescent fibroblasts, and enhanced expression of senescence-associated secretory phenotype genes using single-cell RNA sequencing analysis, as well as elevated p16 protein and more β-galactosidase-positive cells in keloids

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First principles: when stacking makes sense vs when it’s just noise Here’s the simplest clinical lens I know: A stack can be reasonable when it meets all 4 criteria Different primary mechanisms (true complement, not redundancy) A clear problem statement (e.g., “I’m losing weight but also losing lean mass” vs “I want to feel optimized”) Human evidence exists for at least one component and the combined physiology isn’t contradictory You can monitor outcomes and safety objectively (labs, body composition, symptoms, performance, vitals) A stack is usually unjustified when it has any of these patterns Redundant signaling (two compounds tugging the same rope) Unmonitorable goals (“recovery,” “vitality,” “anti-aging” without measurable endpoints) Axis overstimulation (especially GH/IGF-1 signaling) Quality/sterility uncertainty (common with online “research” vials) No exit plan (no defined stop criteria or reassessment window) The 4 major peptide “lanes” you’ll see in stacking culture Most stacks are built from some combination of these buckets: Incretin/metabolic lane (GLP-1/GIP-based pharmacology—typically FDA-approved drugs rather than “peptides” in the wellness sense) GH/IGF-1 lane (GHRH analogs and ghrelin receptor agonists/secretagogues) Lipolytic fragments/modulators (often marketed for fat loss