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Peptide combinations

Peptide stacks

Stacking refers to the practice of combining multiple peptides in a single research protocol to target complementary biological pathways. This page provides an overview of common stacking rationale and highlights frequently researched combinations.

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Featured combinations

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Peptides in catalog

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Research use only

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Research use only. All information on this page refers to preclinical research models. Peptide stacking protocols described here are for laboratory and analytical purposes only and do not constitute medical advice. Products are not approved for human use.

The basics

What is peptide stacking?

Peptide stacking is the simultaneous or sequential use of multiple peptide compounds within a single research protocol. Each peptide in a stack typically targets a different receptor system or biological pathway, allowing researchers to study multi-pathway interactions that would not be visible when testing compounds in isolation.

Stacks are designed around research goals. A recovery-focused stack might combine BPC-157 with TB-500 to study joint and tissue repair, while a metabolic stack might pair a GLP-1 agonist with a selective lipolytic compound to examine complementary fat-burning mechanisms.

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Full stack combinations for each compound are listed on individual product pages, including background on why specific pairings are studied together.

01

Synergistic pathways

Different peptides target distinct biological mechanisms. Combining them allows researchers to activate multiple pathways simultaneously, potentially producing results that neither compound achieves alone.

02

Protocol flexibility

Stacking allows researchers to tailor protocols to specific research goals — whether that's tissue repair, metabolic support, cognitive function, or hormonal modulation.

03

Complementary mechanisms

Many peptides work through separate but complementary receptor systems. Pairing them can broaden the scope of a study while keeping individual dosages within the ranges used in preclinical models.

04

Established in literature

Peptide combinations such as BPC-157 + TB-500 and CJC-1295 + Ipamorelin are among the most cited multi-compound protocols in preclinical research, providing a foundation for further investigation.

Common combinations

Frequently researched stacks

The combinations below represent some of the most frequently cited multi-peptide protocols in preclinical literature. Visit each product page for the full list of stack options specific to that compound.

Stack

Tissue repair & recovery

BPC-157TB-500

The most widely researched peptide combination in regenerative medicine. BPC-157 supports angiogenesis and gut-gut axis signaling while TB-500 promotes actin polymerization and cell migration. Together they are studied for accelerated injury recovery, tendon/ligament repair, and anti-inflammatory effects.

Research areas

Tendon & ligament repairWound healingAnti-inflammatoryMuscle recovery

Cycling:8–12 week cycles with 4-week rest periods are most common in preclinical models.

View product pages for full stack details
Stack

Tissue repair + skin regeneration

BPC-157TB-500GHK-Cu

An extended repair stack adding GHK-Cu for collagen stimulation, antioxidant signaling, and skin remodeling. GHK-Cu is studied for its role in wound healing, skin barrier restoration, and anti-aging pathways — a natural complement to the BPC-157/TB-500 core.

Research areas

Collagen synthesisSkin remodelingWound closureAnti-aging models

Cycling:GHK-Cu can typically be run longer than peptide injections — topical applications are often cycled separately.

View product pages for full stack details
Stack

Metabolic & fat loss

Semaglutide5-Amino-1MQAOD-9604

A multi-target metabolic stack combining GLP-1 receptor agonism (Semaglutide), NNMT inhibition for NAD⁺ and fat oxidation enhancement (5-Amino-1MQ), and selective lipolysis stimulation (AOD-9604). Investigated in obesity and body composition research models.

Research areas

Fat oxidationInsulin sensitivityBody compositionMetabolic regulation

Cycling:Cycles of 8–16 weeks are typical, with monitoring for metabolic markers at regular intervals.

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Stack

Growth hormone stimulation

CJC-1295Ipamorelin

One of the most commonly referenced GH-releasing peptide combinations in research. CJC-1295 extends the half-life of GHRH, while Ipamorelin selectively triggers GH release without significant cortisol or prolactin elevation. Together they are studied for muscle preservation, fat metabolism, and recovery in aging models.

Research areas

GH releaseLean mass supportRecovery & sleepAnti-aging

Cycling:12–16 week cycles are standard; some protocols use 5 days on / 2 days off to maintain pulsatile GH patterns.

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Stack

Cognitive & neuroprotection

SelankSemax

A nootropic combination investigated for its effects on BDNF expression, anxiety reduction, and neurogenesis. Selank has anxiolytic properties through GABAergic modulation, while Semax promotes ACTH and BDNF signaling. Research suggests complementary effects on focus, learning, and stress resilience.

Research areas

BDNF upregulationAnxiolytic effectsCognitive functionNeuroprotection

Cycling:Nasal peptide cycles are often shorter — 2–4 week protocols with breaks are common in research settings.

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Stack

Skin quality & hair growth

GHK-CuAHK-CuKPV

A dermatological stack combining copper peptides and anti-inflammatory KPV. GHK-Cu stimulates collagen and wound repair, AHK-Cu activates hair follicle cycling and scalp circulation, and KPV reduces skin inflammation and supports barrier function. Widely explored in topical and aesthetic research.

Research areas

Collagen productionHair follicle activationSkin inflammationBarrier repair

Cycling:Topical applications are typically continuous over 8–16 weeks with photographic and histological assessment.

View product pages for full stack details
Full stack data

More combinations on each product page

The stacks shown here are just a starting point. Every product in the Myotrope catalog includes its own dedicated stacks section with peptide-specific combination rationale, pairing descriptions, and cycling notes drawn from preclinical research.

Questions about stacking?

Our team can help with technical questions about peptide combinations and research protocols.

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