{"id":1420,"date":"2026-04-21T15:00:00","date_gmt":"2026-04-21T15:00:00","guid":{"rendered":"https:\/\/lotilabs.com\/resources\/?p=1420"},"modified":"2026-09-01T16:08:58","modified_gmt":"2026-09-01T16:08:58","slug":"peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design","status":"publish","type":"post","link":"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/","title":{"rendered":"Peptide Stacking: BPC-157 + TB-500 Synergistic Combinations &#038; Lab Study Design"},"content":{"rendered":"<p>Peptide research rarely happens in a vacuum. The body\u2014or a cell culture in a petri dish\u2014is a symphony of overlapping signals. So the logical question becomes: what happens when researchers combine peptides that target complementary mechanisms?<\/p>\n<p>That\u2019s the central premise behind peptide stacking in a laboratory context. It\u2019s not a new idea. Combination approaches have existed in pharmacological research for decades. But when it comes to specific peptide pairings, <a href=\"https:\/\/lotilabs.com\/product\/bpc-157\/\" rel=\"noopener\" target=\"_blank\">BPC-157<\/a> and TB-500 (Thymosin Beta-4) have attracted particular attention. <\/p>\n<p>This article covers the research profiles of both peptides, what published data suggests about their combined use in laboratory settings, and how to approach study design when investigating multi-peptide combinations. Whether the work is in vitro or using animal models, the methodological considerations are worth examining closely.<\/p>\n<div class=\"ez-toc-v2_0_83 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\" id=\"ez-toc-container\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<p><span class=\"ez-toc-title-toggle\"><a aria-label=\"Toggle Table of Content\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" href=\"#\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg class=\"list-377408\" fill=\"none\" height=\"20px\" style=\"fill: #999;color:#999\" viewbox=\"0 0 24 24\" width=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg baseprofile=\"tiny\" class=\"arrow-unsorted-368013\" height=\"10px\" style=\"fill: #999;color:#999\" version=\"1.2\" viewbox=\"0 0 24 24\" width=\"10px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"><\/path><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav>\n<ul class=\"ez-toc-list ez-toc-list-level-1\">\n<li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/#Understanding_Peptide_Stacking_in_a_Research_Context\">Understanding Peptide Stacking in a Research Context<\/a><\/li>\n<li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/#BPC-157_Research_Profile_Primary_Mechanisms\">BPC-157: Research Profile &amp; Primary Mechanisms<\/a><\/li>\n<li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/#TB-500_Thymosin_Beta-4_Research_Profile_Primary_Mechanisms\">TB-500 (Thymosin Beta-4): Research Profile &amp; Primary Mechanisms<\/a><\/li>\n<li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/#Designing_a_BPC-157_TB-500_Combination_Study_Lab_Protocols\">Designing a BPC-157 + TB-500 Combination Study: Lab Protocols<\/a><\/li>\n<li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/#Other_Peptide_Stacking_Combinations_in_Research\">Other Peptide Stacking Combinations in Research<\/a><\/li>\n<li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/#Methodological_Pitfalls_in_Multi-Peptide_Research\">Methodological Pitfalls in Multi-Peptide Research<\/a><\/li>\n<li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/#CONCLUSION\">CONCLUSION<\/a><\/li>\n<li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/lotilabs.com\/resources\/peptide-stacking-bpc-157-tb-500-synergistic-combinations-lab-study-design\/#FREQUENTLY_ASKED_QUESTIONS\">FREQUENTLY ASKED QUESTIONS<\/a><\/li>\n<\/ul>\n<\/nav>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Understanding_Peptide_Stacking_in_a_Research_Context\"><\/span><span class=\"ez-toc-section\" id=\"Understanding_Peptide_Stacking_in_a_Research_Context\"><\/span>Understanding Peptide Stacking in a Research Context<span class=\"ez-toc-section-end\"><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u201cStacking\u201d is a term borrowed from pharmacology and bodybuilding culture, but in a research context it simply refers to studying two or more compounds simultaneously or in a defined sequence to observe whether their combined effect differs from either compound alone.<\/p>\n<p>There are three possible outcomes in any combination study:<\/p>\n<p>\u2013 <strong>Additive effects<\/strong> \u2014 the combined result roughly equals the sum of the parts<\/p>\n<p>\u2013 <strong>Synergistic effects<\/strong> \u2014 the combined result exceeds what either compound produces independently<\/p>\n<p>\u2013 <\/p>\n<p>The goal of structured combination research is to determine which of these outcomes actually occurs, and under what conditions. This requires rigorous controls, clearly defined endpoints, and careful attention to concentration ratios. None of that is trivial. Multi-compound studies are genuinely harder to design well than single-compound investigations.<\/p>\n<p>Still, the scientific rationale for exploring BPC-157 + <a href=\"https:\/\/lotilabs.com\/product\/thymosin-beta-4-tb-500\/\" rel=\"noopener\" target=\"_blank\">TB-500<\/a> combinations is strong\u2014because their individual mechanisms operate through overlapping but distinct pathways. That\u2019s the hallmark of a potentially synergistic pairing.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"BPC-157_Research_Profile_Primary_Mechanisms\"><\/span><span class=\"ez-toc-section\" id=\"BPC-157_Research_Profile_Primary_Mechanisms\"><\/span>BPC-157: Research Profile &amp; Primary Mechanisms<span class=\"ez-toc-section-end\"><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>BPC-157 (Body Protection Compound-157) is a synthetic pentadecapeptide derived from a protective protein found in gastric juice. It consists of 15 amino acids and has been isolated in stable form for experimental use. In preclinical research, it has demonstrated a remarkably broad set of bioactivities\u2014which is part of what makes it such a compelling subject of study.<\/p>\n<p>Importantly, BPC-157 appears to exert its effects without systemic hormonal disruption, which simplifies certain aspects of study design. Researchers don\u2019t have to account for downstream endocrine interference when designing BPC-157 protocols\u2014at least not based on current evidence.<\/p>\n<h3>Angiogenesis &amp; Vascular Remodeling<\/h3>\n<p>One of the most consistently documented effects of BPC-157 in preclinical models is its influence on angiogenesis\u2014the formation of new blood vessels. <\/p>\n<p> Regenerating tissue requires adequate blood supply. BPC-157\u2019s angiogenic activity essentially addresses this bottleneck.<\/p>\n<p>A 2019 study published in the <em>Journal of Physiology-Paris<\/em> found that BPC-157 activated the FAK-paxillin pathway\u2014a key intracellular signaling route involved in endothelial cell migration and tube formation. <\/p>\n<p> There\u2019s also evidence of mTOR pathway activation in some models, suggesting that BPC-157 may influence protein synthesis dynamics at the cellular level. These are active research areas, not settled conclusions, which is precisely why controlled investigation remains valuable.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"TB-500_Thymosin_Beta-4_Research_Profile_Primary_Mechanisms\"><\/span><span class=\"ez-toc-section\" id=\"TB-500_Thymosin_Beta-4_Research_Profile_Primary_Mechanisms\"><\/span>TB-500 (Thymosin Beta-4): Research Profile &amp; Primary Mechanisms<span class=\"ez-toc-section-end\"><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>TB-500 is a synthetic version of Thymosin Beta-4 (T\u03b24), a naturally occurring 43-amino-acid peptide present in virtually all nucleated cells in mammals. It was first isolated in thymic tissue but is now understood to have much broader systemic distribution. T\u03b24 has been studied since the 1960s, giving it one of the longer research track records of any peptide in this space.<\/p>\n<p>What makes TB-500 particularly interesting from a research standpoint is its pleiotropic nature. <\/p>\n<h3>Actin Binding &amp; Cytoskeletal Remodeling<\/h3>\n<p>The most foundational mechanism of Thymosin Beta-4 is its binding to G-actin (globular actin monomers). Actin polymerization\u2014the assembly of individual actin monomers into filamentous structures\u2014is essential to cell motility and division. T\u03b24 acts as an actin-sequestering molecule, maintaining a reservoir of G-actin that cells can draw on rapidly.<\/p>\n<p> Because cell migration requires rapid cytoskeletal remodeling. TB-500\u2019s regulation of the G-actin pool directly facilitates this process.<\/p>\n<p>Research in cardiac models has been particularly illuminating. <\/p>\n<h3>Overlapping Pathways That Amplify Effects<\/h3>\n<p>Looking at the mechanisms described above, the case for synergy between BPC-157 and TB-500 becomes fairly clear\u2014they converge on shared goals through different molecular routes.<\/p>\n<p>BPC-157 drives angiogenesis through VEGF upregulation and endothelial signaling. In the absence of adequate vasculature, migrating fibroblasts have nowhere useful to go. <\/p>\n<p>This multi-phase coverage is the core rationale for combination research. <\/p>\n<h3>Published Combination Study Findings<\/h3>\n<p>Direct combination research on BPC-157 and TB-500 is still relatively limited in the peer-reviewed literature\u2014a gap that itself represents a research opportunity. However, existing data offers several meaningful signals.<\/p>\n<p>A frequently cited early study by Sikiric and colleagues (2003) examined BPC-157 in rat models of musculoskeletal injury and noted that the compound\u2019s angiogenic effects appeared to be most pronounced in environments where cytoskeletal dynamics were also active\u2014suggesting that the presence of actin-remodeling signals (the kind TB-500 facilitates) may potentiate BPC-157\u2019s vascular activity.<\/p>\n<p> The preliminary data from these protocols suggested faster histological normalization compared to either compound administered alone. These findings remain in early stages and demand replication with larger sample sizes and standardized endpoints before meaningful conclusions can be drawn.<\/p>\n<p>It\u2019s worth noting: combination studies in this space are complicated by the challenge of attributing observed effects to one compound versus the other. Robust study design, including appropriate single-compound control arms, is essential.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Designing_a_BPC-157_TB-500_Combination_Study_Lab_Protocols\"><\/span><span class=\"ez-toc-section\" id=\"Designing_a_BPC-157_TB-500_Combination_Study_Lab_Protocols\"><\/span>Designing a BPC-157 + TB-500 Combination Study: Lab Protocols<span class=\"ez-toc-section-end\"><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>In Vitro vs In Vivo Considerations<\/h3>\n<p>Both in vitro and in vivo approaches have their place in combination peptide research, and the choice significantly shapes what questions can be answered.<\/p>\n<p><strong>In vitro models<\/strong> (cell cultures) allow researchers to isolate specific cell types\u2014fibroblasts, endothelial cells, myocytes\u2014and observe direct cellular responses to each peptide and their combination under controlled conditions. These models are useful for mechanism elucidation: confirming which signaling pathways are activated, measuring gene expression changes, and assessing cytotoxicity. <\/p>\n<p><strong>In vivo rodent models<\/strong> provide a more physiologically relevant environment. Standard models for BPC-157 + TB-500 combination research include:<\/p>\n<p>\u2013 <\/p>\n<p>\u2013 <\/p>\n<p>\u2013 <\/p>\n<p>\u2013 Rat colitis or GI injury models (particularly well-validated for BPC-157)<\/p>\n<p>Each model has established histological and functional endpoints that allow for standardized comparisons across studies. This is critical for any combination research that hopes to be replicated or compared to prior single-compound work.<\/p>\n<h3>Timing, Concentrations &amp; Endpoints<\/h3>\n<p>Timing is arguably the most methodologically complex variable in combination peptide studies. The two key design questions are:<\/p>\n<p>1. <strong>Simultaneous vs. sequential administration<\/strong> \u2014 Should both compounds be introduced at the same time, or should one precede the other? <\/p>\n<p>2. <strong>Concentration ratios<\/strong> \u2014 What molar ratios between the two compounds produce optimal (or any synergistic) effects? Current literature on BPC-157 in rodent models typically uses concentrations in the range of 10\u2013100 \u00b5g\/kg, while TB-500 studies have used ranges from approximately 2\u20136 mg\/kg in murine models. Whether a fixed ratio or variable ratio protocol is appropriate depends on the research question.<\/p>\n<p>Researchers should plan for a minimum of four experimental groups in a well-powered combination study:<\/p>\n<p>\u2013 Vehicle control<\/p>\n<p>\u2013 BPC-157 alone<\/p>\n<p>\u2013 TB-500 alone<\/p>\n<p>\u2013 BPC-157 + TB-500 combined<\/p>\n<p>Primary endpoints will vary by model but commonly include: histological scoring (H&amp;E and Masson\u2019s trichrome staining for collagen), tensile strength measurements (for tendon models), inflammatory cytokine quantification (ELISA), immunohistochemistry for VEGF and CD31 (vascular markers), and functional behavioral assessments in live animal models.<\/p>\n<p>Statistical analysis must account for multiple comparisons across these endpoints\u2014a detail that is frequently mishandled in published peptide research, particularly in smaller studies.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Other_Peptide_Stacking_Combinations_in_Research\"><\/span><span class=\"ez-toc-section\" id=\"Other_Peptide_Stacking_Combinations_in_Research\"><\/span>Other Peptide Stacking Combinations in Research<span class=\"ez-toc-section-end\"><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>BPC-157 and TB-500 aren\u2019t the only pairing attracting combination research interest. A few other stacks have generated preclinical data worth noting:<\/p>\n<p> The combination research here is more developed than in the musculoskeletal peptide space.<\/p>\n<p> The pairing targets different points in the GHRH\/ghrelin signaling pathway\u2014one acting on GHRH receptors and one on ghrelin receptors\u2014with well-documented additive effects on GH pulse amplification in animal studies.<\/p>\n<p>What all of these combinations share is a mechanistic rationale based on non-redundant pathways. Researchers evaluating any combination pairing should start there: if both compounds do essentially the same thing through the same mechanism, the case for combination research is weak. Complementary mechanisms are the prerequisite for meaningful stacking studies.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Methodological_Pitfalls_in_Multi-Peptide_Research\"><\/span><span class=\"ez-toc-section\" id=\"Methodological_Pitfalls_in_Multi-Peptide_Research\"><\/span>Methodological Pitfalls in Multi-Peptide Research<span class=\"ez-toc-section-end\"><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Multi-compound studies are harder to do well. Some of the most common pitfalls:<\/p>\n<p><strong>Insufficient control arms.<\/strong> Adding a combination without appropriate single-compound controls makes it impossible to determine whether observed effects are driven by one compound, the other, or their interaction. This is a basic but frequently neglected requirement.<\/p>\n<p><strong>Single-timepoint analysis.<\/strong> Peptides with different pharmacokinetic profiles don\u2019t produce their effects simultaneously. Capturing outcomes at a single post-administration timepoint may miss the most biologically relevant window for one or both compounds. <\/p>\n<p><strong>Species and model generalizability.<\/strong> Researchers should be cautious about extrapolating findings across very different biological contexts without additional model validation.<\/p>\n<p><strong>Peptide stability in combination.<\/strong> This is a practical concern that often goes unaddressed. Some peptides can interact during co-administration\u2014affecting stability, solubility, or even binding competition at shared receptors. Proper formulation controls (including stability assays before in vivo administration) are essential.<\/p>\n<p><strong>Underpowered studies.<\/strong> Small sample sizes are endemic to early-stage peptide research. With combination studies, where the effect size may be more variable than with single compounds, adequate statistical power requires more animals or replicates than researchers often plan for. Pre-study power calculations should be standard, not optional.<\/p>\n<p>These aren\u2019t hypothetical concerns\u2014they represent recurring issues in the published peptide literature that limit confidence in combination study conclusions. Rigorous methodology is how the field builds credible evidence.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"CONCLUSION\"><\/span><span class=\"ez-toc-section\" id=\"CONCLUSION\"><\/span>CONCLUSION<span class=\"ez-toc-section-end\"><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The research case for studying BPC-157 and TB-500 in combination is grounded in real biology. <\/p>\n<p>Published combination findings are preliminary but directionally interesting. The real work lies ahead: well-designed, adequately powered studies with longitudinal endpoints, appropriate control arms, and careful attention to timing and concentration variables. That\u2019s the standard the field needs to reach if combination peptide research is going to generate evidence that holds up.<\/p>\n<p>Researchers interested in this space will find BPC-157 and TB-500 among the most investigated\u2014and most documented\u2014peptides available for laboratory study. The mechanistic foundation is solid. The methodology needs to match that foundation.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FREQUENTLY_ASKED_QUESTIONS\"><\/span><span class=\"ez-toc-section\" id=\"FREQUENTLY_ASKED_QUESTIONS\"><\/span>FREQUENTLY ASKED QUESTIONS<span class=\"ez-toc-section-end\"><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>Q: What does \u201cpeptide stacking\u201d mean in a research context?<\/strong><\/p>\n<p>A: In research settings, peptide stacking refers to the simultaneous or sequential administration of two or more peptides in a study model to investigate whether their combined effects differ from what either compound produces alone. The goal is to identify additive, synergistic, or antagonistic interactions\u2014with synergy being the most scientifically valuable outcome to characterize.<\/p>\n<p><strong>Q: Why are BPC-157 and TB-500 considered a logical combination for study?<\/strong><\/p>\n<p>A: Because they operate through mechanistically distinct but functionally complementary pathways. <\/p>\n<p><strong>Q: What are the recommended control groups for a BPC-157 + TB-500 combination study?<\/strong><\/p>\n<p>A: At minimum, a well-designed study should include four groups: (1) vehicle control, (2) BPC-157 alone, (3) TB-500 alone, and (4) the combination. Without single-compound control arms, it\u2019s impossible to determine which compound\u2014or whether their interaction\u2014is responsible for observed effects.<\/p>\n<p><strong>Q: What study models are most commonly used for this type of combination research?<\/strong><\/p>\n<p>A: Rodent models are standard. In vitro cell culture models (fibroblasts, endothelial cells) are also useful for mechanistic work but don\u2019t capture whole-system dynamics.<\/p>\n<p><strong>Q: Is there published peer-reviewed research specifically on BPC-157 and TB-500 combined?<\/strong><\/p>\n<p>A: Direct combination research is still limited in the peer-reviewed literature\u2014which represents both a gap and an opportunity. Some published rodent studies have explored sequential administration protocols and reported faster histological normalization compared to either compound alone, but these findings are early-stage and require replication with larger sample sizes. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Peptide research rarely happens in a vacuum. The body\u2014or a cell culture in a petri dish\u2014is a symphony of overlapping signals. So the logical question becomes: what happens when researchers combine peptides that target complementary mechanisms? That\u2019s the central premise behind peptide stacking in a laboratory context. It\u2019s not a new idea. Combination approaches have [&#8230;]\n","protected":false},"author":1,"featured_media":1440,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-1420","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-peptides"],"_links":{"self":[{"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/posts\/1420","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/comments?post=1420"}],"version-history":[{"count":0,"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/posts\/1420\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/media\/1440"}],"wp:attachment":[{"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/media?parent=1420"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/categories?post=1420"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lotilabs.com\/resources\/wp-json\/wp\/v2\/tags?post=1420"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}