sRAGE Human Recombinant (PRO-600) is a 339-amino acid protein produced in E. coli, with a molecular mass of 36.5 kDa. It includes a 14-amino acid His-tag at the N-terminus and is purified via proprietary chromatographic techniques . Key features include:
Amino Acid Sequence:
MRGSHHHHHH GMASAQNITA RIGEPLVLKC KGAPKKPPQR LEWKLNTGRT EAWKVLSPQG GGPWDSVARV LPNGSLFLPAV GIQDEGIFRCQ AMNRNGKETKS NYRVRVYQIP GKPEIVDSASE LTAGVPNKVG TCVSEGSYPA GTLSWHLDGKPL VPNEKGVSVK EQTRRHPETG LFTLQSELMV TPARGGDPRP TFSCSFSPGL PRHRALRTAP IQPRVWEPVPL EEVQLVVEPE GGAVAPGGTV TLTCEVPAQP SPQIHWMKDGVP LPLPPSPVLI LPEIGPQDQG TYSCVATHSS HGPQESRAVS ISIIEPGEEG PTAGEGFDKV REAEDSPQHM
Biological Source: Generated via alternative splicing or proteolytic cleavage (e.g., by ADAM10/MMPs) of membrane-bound RAGE (mRAGE) .
sRAGE binds ligands such as advanced glycation end products (AGEs), HMGB1, and S100 proteins, preventing their interaction with pro-inflammatory mRAGE .
Induces monocyte differentiation into macrophages and recruits neutrophils .
Binds preferentially to mature macrophages over monocytes, suggesting a role in immune cell maturation .
A 2023 meta-analysis of 13 studies demonstrated:
Parameter | Effect Size (WMD) | 95% CI | P-value |
---|---|---|---|
Body Mass Index (BMI) | -1.927 kg/m² | -2.868 to -0.986 | <0.001 |
Waist Circumference (WC) | -5.602 cm | -8.820 to -2.383 | <0.001 |
sRAGE in Obesity vs. Healthy | -135.105 pg/mL | -256.491 to -13.72 | 0.029 |
Higher sRAGE levels correlate with lower adiposity metrics .
Alzheimer’s Disease (AD): Plasma sRAGE levels are reduced compared to vascular dementia and controls .
Protective Role: sRAGE administration reduces cerebral β-amyloidosis in murine models .
Plasma sRAGE outperforms NTproBNP in distinguishing mild PAH from controls (AUC: 0.92 vs. 0.73) .
Lung tissue from PAH patients shows upregulated RAGE mRNA and protein .
The Gly82Ser variant (rs2070600) in AGER:
Recombinant Human sRAGE, expressed in E. coli, is a single, non-glycosylated polypeptide chain. It comprises 339 amino acids, resulting in a molecular weight of 36.5 kDa. This sRAGE protein features a 14-amino acid His tag fused at its N-terminus and is purified using proprietary chromatographic methods.
The protein solution, after sterile filtration (0.4 µm) and concentration (0.5 mg/ml), was lyophilized using a 30 mM acetate buffer at pH 4.
MRGSHHHHHH GMASAQNITA RIGEPLVLKC KGAPKKPPQR LEWKLNTGRT EAWKVLSPQG GGPWDSVARV LPNGSLFLPAV GIQDEGIFRCQ AMNRNGKETKS NYRVRVYQIP GKPEIVDSASE LTAGVPNKVG TCVSEGSYPA GTLSWHLDGKPL VPNEKGVSVK EQTRRHPETG LFTLQSELMV TPARGGDPRP TFSCSFSPGL PRHRALRTAP IQPRVWEPVPL EEVQLVVEPE GGAVAPGGTV TLTCEVPAQP SPQIHWMKDGVP LPLPPSPVLI LPEIGPQDQG TYSCVATHSS HGPQESRAVS ISIIEPGEEG PTAGEGFDKV REAEDSPQHM
sRAGE represents the extracellular portion of the transmembrane RAGE protein without the intracellular signaling domain. In humans, sRAGE is generated through two primary mechanisms: proteolytic cleavage of membrane-bound RAGE or through alternative RNA splicing. The alternatively spliced form is specifically designated as endogenously secreted RAGE .
The extracellular domain of sRAGE consists of three distinct regions: the V, C1, and C2 domains. The V and C1 domains form an integrated structure while the C2 domain attaches via a flexible linker. Different RAGE ligands bind to different receptor domains, which explains some of the diversity in sRAGE interactions and effects . When conducting sRAGE research, it's essential to consider both sources of sRAGE, as their relative contributions may vary in different pathophysiological contexts.
sRAGE exhibits a complex dual functionality in inflammatory processes that requires careful methodological consideration. The classical view positions sRAGE as a decoy receptor that acts as a sink for pro-inflammatory RAGE ligands, thereby inhibiting RAGE-mediated cellular activation and protecting against inflammatory disease . This is supported by animal studies where administration of recombinant sRAGE improves vascular function and reduces inflammation .
To effectively investigate sRAGE binding to cell surfaces, researchers should employ a multi-method approach. Fluorescently labeled sRAGE preparations allow for tracking binding through flow cytometry and confocal microscopy while controlling for non-specific interactions. Essential controls should include competitive inhibition with unlabeled sRAGE and heat-denatured sRAGE to confirm structure-dependent binding .
Research indicates that sRAGE binds directly to monocytes and monocyte-derived macrophages (MDMs), with mature cells demonstrating greater binding affinity than immature cells . When investigating binding dynamics, researchers should compare cell types at different maturation stages, as evidence shows that tissue macrophages have greater affinity for sRAGE than circulating monocytes . Additionally, cell adherence appears to be an important factor in sRAGE-induced signaling, so experimental design should account for this variable when comparing suspension versus adherent culture systems.
sRAGE promotes monocyte differentiation into macrophages through activation of specific intracellular signaling cascades. Methodologically, this can be demonstrated by treating primary human monocytes with sRAGE (0.5-10 μg/ml) in serum-free conditions and comparing morphological changes to those induced by standard differentiation factors like M-CSF or GM-CSF .
When investigating the underlying mechanisms, researchers should examine three key signaling pathways activated by sRAGE: Akt, Erk, and NF-κB . These pathways appear critical for cell survival and differentiation. Experimental designs should include time-course analyses of pathway activation using phospho-specific antibodies, selective pathway inhibitors to establish causality, and assessment of downstream effects such as reduced caspase-3 activation . Importantly, these signaling events are significantly enhanced in adherent cells compared to suspension cultures, indicating that cellular adherence serves as an important costimulatory factor for sRAGE-induced differentiation .
Distinguishing between sRAGE's direct cellular activities and its decoy receptor function requires carefully designed experimental approaches. Based on available evidence, researchers should implement a comparative methodology that includes:
Purified sRAGE alone to assess direct cellular effects
Known RAGE ligands alone to establish baseline RAGE-mediated activation
Combination of pre-incubated sRAGE with ligands to evaluate decoy function
Concentration is critical - researchers should test a range of physiologically relevant sRAGE concentrations (0.25-10 μg/ml based on research protocols) alongside varying concentrations of RAGE ligands to identify conditions where one mechanism predominates over the other .
Cellular adherence plays a crucial role in sRAGE-induced signaling and differentiation, serving as an important costimulatory factor. To properly investigate this phenomenon, researchers should implement parallel experimental systems comparing adherent versus suspension cultures .
Studies demonstrate that Akt and Erk phosphorylation are significantly higher in sRAGE-stimulated cells cultured on plates compared to those in tubes . Similarly, monocytes incubated with sRAGE on plates show higher expression of mannose receptors (a differentiation marker) than cells cultured with sRAGE in suspension .
Methodologically, it's important to verify that sRAGE binding to cells is equivalent in both adherent and suspension conditions to ensure observed differences stem from adherence-dependent signaling rather than altered binding capacity . This suggests a two-signal model where sRAGE binding provides one signal, but optimal cellular activation requires a second signal from adhesion-mediated pathways.
When interpreting these contradictions, researchers should consider several methodological factors:
The ratio of sRAGE to its ligands may be more informative than absolute sRAGE levels
Different forms of sRAGE (cleaved versus alternatively spliced) may have distinct associations
Disease progression stages may exhibit different sRAGE patterns
Comorbidities might confound observed associations
An alternative explanation proposed in the literature suggests that elevated sRAGE may reflect increased RAGE activation and autoinduction rather than increased protection . This hypothesis posits that high circulating sRAGE might actually indicate overstimulation of cell surface RAGE which, if persistent, amplifies pro-inflammatory processes and exacerbates pathology .
When evaluating sRAGE as a disease biomarker, researchers must implement several methodological approaches to ensure valid results:
Standardize sample collection procedures, including time of day, fasting status, and sample processing protocols
Clearly specify which forms of sRAGE their assays detect (total, cleaved, or alternatively spliced variants)
Establish appropriate reference ranges in matched healthy control populations
Document and adjust for potential confounding factors including age, sex, renal function, and inflammatory status
Consider longitudinal sampling rather than single measurements, particularly when assessing disease progression
Measure both sRAGE and its ligands simultaneously to calculate ratios that may provide more meaningful biological insights
The search results indicate that the amount of sRAGE generated in vivo may not be sufficient to compete effectively with membrane-bound RAGE for ligand binding, particularly when RAGE itself is upregulated . This has important implications for biomarker studies and underscores the need to interpret sRAGE levels within the broader context of RAGE biology.
Research demonstrates that sRAGE binding affinity differs between cell maturation states, with mature macrophages showing greater sRAGE binding than immature monocytes . This differential binding has significant methodological implications for both basic research and biomarker studies.
When investigating this phenomenon, researchers should compare binding across the monocyte-macrophage differentiation spectrum using consistent labeling and detection methods. Flow cytometry with fluorescently-labeled sRAGE provides a quantitative approach for measuring binding differences . Additionally, researchers should examine whether these binding differences correlate with changes in cell surface receptor expression during maturation.
The biological significance of differential binding remains under investigation, but evidence suggests it may reflect changes in the receptor composition or organization on cell surfaces during differentiation . This has important implications for interpreting sRAGE effects in tissues with heterogeneous cell populations at various differentiation stages.
Designing optimal in vitro models for sRAGE research requires careful selection of cellular systems and experimental conditions. Based on evidence from the literature, effective models include:
Primary human monocytes for studying recruitment, survival, and differentiation
Neutrophil systems for examining chemotaxis and activation
Monocyte-derived macrophages for investigating maturation effects
Adherent culture systems, as cellular adherence significantly impacts sRAGE-mediated signaling
When establishing these models, researchers should note that transformed cell lines may not respond to sRAGE in the same manner as primary cells. Studies show that while sRAGE binds to premyelocytic cell lines, it fails to activate intracellular signaling pathways in these cells as it does in primary monocytes .
Critical experimental parameters include ensuring sRAGE purity, using physiologically relevant concentrations (0.25-10 μg/ml based on published protocols), implementing appropriate positive controls (M-CSF, GM-CSF for differentiation; CCL2 for monocyte chemotaxis; IL-8 for neutrophil chemotaxis), and conducting time-course experiments to capture both immediate signaling events and longer-term differentiation outcomes .
To comprehensively assess sRAGE-induced inflammatory responses, researchers should implement a multi-parameter approach examining both cellular activation and soluble mediator production.
Research indicates that sRAGE treatment of human monocytes leads to production of proinflammatory cytokines (IL-1β, IL-6) and chemokines (CCL3, CCL4) at levels significantly higher than control conditions . Standard methodologies should include multiplex cytokine/chemokine assays or ELISAs to quantify these mediators in cell culture supernatants.
For examining cellular activation, researchers should:
Use chemotaxis assays to measure sRAGE-induced monocyte and neutrophil migration (sRAGE has been shown to induce monocyte recruitment at 3.5-6.0-fold higher rates than controls)
Assess activation marker expression via flow cytometry
Examine morphological changes through microscopy
Analyze intracellular signaling pathway activation (Akt, Erk, NF-κB) using phospho-specific antibodies
Researchers should include dose-response studies with sRAGE concentrations ranging from 5 ng/ml to 5 μg/ml based on established protocols to identify optimal inflammatory activation conditions .
To effectively demonstrate sRAGE's effects on cell survival, researchers should implement complementary methodologies assessing both pro-survival signaling and direct apoptosis measurements. Previous studies indicate that sRAGE promotes monocyte survival and reduces apoptosis .
A comprehensive protocol should include:
Assessment of key survival signaling pathways through Western blotting for phosphorylated Akt and Erk, which are activated by sRAGE treatment
Measurement of active caspase-3 levels as an indicator of apoptosis
Live/dead cell discrimination assays using appropriate dyes
TUNEL or Annexin V/PI staining to quantify apoptotic cell populations
Time-course experiments to establish the duration of the survival effect
Comparison with established survival factors as positive controls
Selective pathway inhibitors to establish causality between observed signaling and survival outcomes
When interpreting results, researchers should note that cells under adherent conditions show enhanced survival signaling compared to suspension cultures, highlighting the importance of experimental conditions in survival studies .
Analyzing the relationship between sRAGE and disease outcomes requires sophisticated statistical approaches that account for sRAGE's complex biology. Researchers should implement multivariate regression models that adjust for established confounders including age, sex, renal function, and inflammatory markers.
When designing analyses, it's important to consider that sRAGE may have non-linear relationships with outcomes or exhibit threshold effects rather than linear associations. Additionally, temporal relationships are critical - cross-sectional measurements provide limited information compared to longitudinal assessments of how sRAGE levels change over time in relation to disease progression.
Given the evidence for both protective and pathological roles of sRAGE, researchers should consider calculating the ratio of sRAGE to relevant ligands, as this may provide more biologically meaningful insights than absolute sRAGE levels alone . This approach better captures the dynamic balance between sRAGE's decoy function and its direct pro-inflammatory activities.
Resolving discrepancies in sRAGE experimental findings requires systematic approaches addressing both methodological and conceptual factors. Researchers should:
Standardize experimental conditions including sRAGE concentration ranges, cell types, and culture conditions
Compare findings between primary cells and cell lines, as they often respond differently to sRAGE
Control for the presence/absence of RAGE ligands, which significantly influences sRAGE function
Account for cellular adherence, which strongly impacts sRAGE-induced signaling
Consider maturation state of target cells, as binding affinity changes with differentiation
The literature proposes two complementary models of sRAGE function: (1) as a decoy receptor binding RAGE ligands when they are in excess, and (2) as a direct activator of cell migration, survival, and differentiation when ligands are not in excess . This dual functionality may explain many apparent contradictions in the literature, as experimental conditions may favor one mechanism over the other.
Determining appropriate sRAGE concentrations for in vitro experiments requires careful consideration of both physiological relevance and experimental goals. Based on published protocols, researchers have successfully used sRAGE concentrations ranging from 5 ng/ml to 10 μg/ml to demonstrate biological effects .
For chemotaxis experiments, concentrations of 5 ng/ml to 5 μg/ml have been shown to significantly recruit human monocytes (3.5-6.0-fold higher than controls) and neutrophils (1.6-2.0-fold higher than controls) . For differentiation studies, concentrations of 0.25-10 μg/ml induced phenotypic changes in human monocytes similar to those observed with standard differentiation factors, with 5 μg/ml identified as optimal for inducing these changes .
When designing dose-response experiments, researchers should include:
A wide concentration range spanning at least two orders of magnitude
Appropriate positive controls (M-CSF, GM-CSF for differentiation; CCL2 for monocyte chemotaxis)
Vehicle controls with matched protein content (e.g., PBS/MSA)
Assessment of multiple endpoints to identify potential divergent dose-response relationships across different biological activities
The Advanced Glycosylation End Product-Specific Receptor (RAGE) is a transmembrane receptor of the immunoglobulin superfamily. It was first characterized in 1992 by Neeper et al. RAGE is known for its ability to bind advanced glycation end products (AGEs), which are proteins or lipids that become glycated after exposure to sugars .
RAGE is a 35 kilodalton receptor that plays a crucial role in various physiological and pathological processes. It is a multiligand receptor, meaning it can interact with multiple types of molecules, not just AGEs. These interactions are implicated in homeostasis, development, inflammation, and certain diseases such as diabetes and Alzheimer’s disease .
Human recombinant RAGE is used in research to study its role in various diseases and to develop potential therapeutic interventions. By understanding how RAGE functions and its interactions with AGEs, scientists aim to find ways to mitigate its harmful effects in diseases like diabetes and Alzheimer’s.