Recombinant Mouse Serpin A12, also known as Vaspin, is a 45-50 kDa secreted adipokine that belongs to the serpin family of serine protease inhibitors . Its primary function involves maintaining insulin sensitivity by circulating in a complex with Kallikrein 7 (KLK7) and preventing KLK7-mediated cleavage of insulin . Serpin A12 exhibits multiple metabolic functions: it promotes elevation of circulating insulin levels, improves glucose tolerance, and can inhibit high glucose-induced activation of the insulin receptor .
Beyond metabolic regulation, Serpin A12 inhibits TRANCE/RANK L-induced osteoclast development and inflammatory activation of vascular smooth muscle and endothelial cells . The protein consists of 414 amino acids and functions primarily by modulating the insulin-inhibiting protease KLK7 in adipose tissue .
Serpin A12 expression in mice occurs across multiple tissues with varying levels of expression. The primary sites of expression include:
Adipose tissue (both visceral and subcutaneous adipocytes)
Brown adipose tissue (BAT)
Gastric glands and epithelium
Placenta
Skin
Stomach
Expression analysis using quantitative PCR reveals that endogenous mouse vaspin (serpinA12) is highly expressed in skin, stomach, liver, and brown adipose tissue . In transgenic models expressing human SERPINA12, the highest expression typically occurs in BAT, followed by subcutaneous (inguinal) white adipose tissue (iWAT), with lower expression in epididymal white adipose tissue (eWAT) .
Serpin A12 levels demonstrate significant correlation with metabolic status in both rodent models and humans. In the Otsuka Long Evans Tokushima Fatty (OLETF) rat model, Serpin A12 expression peaks concurrently with obesity and plasma insulin levels at approximately 30 weeks of age . Similarly, in humans, serum vaspin levels are elevated in individuals with obesity and type 2 diabetes .
In experimental mouse models, administration of recombinant vaspin to obese, insulin-resistant mice counteracts obesity-induced inflammation and dysfunction in both adipose tissue and liver, partially restoring glucose tolerance . Metabolic health of mice overexpressing vaspin demonstrates greater resistance to obesogenic conditions, while vaspin knockout exacerbates metabolic dysfunction in obesity, establishing vaspin as a beneficial and compensatory factor in obesity-related disorders .
Serpin A12 inhibitory activity can be precisely measured using a fluorogenic substrate assay that assesses its ability to inhibit Kallikrein 7 (KLK7) activity. The standardized protocol involves:
Preparation of reagents:
Activation Buffer: 50 mM Tris, 10 mM CaCl₂, 150 mM NaCl, 0.05% (w/v) Brij-35, pH 7.5
Inhibition Buffer: 25 mM Tris, 150 mM NaCl, pH 7.5
Assay Buffer: 50 mM Tris, 150 mM NaCl, pH 8.5
Recombinant Mouse Serpin A12
Recombinant Human Kallikrein 7 (rhKLK7)
Assay procedure:
Prepare a Serpin A12 dilution series (neat/50, 160, 80, 40, 20, 10, 5, 2, and 0.5 nM)
Combine equal volumes of each Serpin A12 dilution with 50 μg/mL rhKLK7
Include an enzyme control containing equal volumes of Inhibition Buffer and 50 μg/mL rhKLK7
Incubate reaction mixtures at 37°C for 30 minutes
Dilute each reaction 12.5-fold using Assay Buffer
Load 50 μL of diluted reactions to a plate, and add 50 μL of 20 μM substrate
Include a substrate blank containing assay buffer and substrate
Measure fluorescence at excitation/emission wavelengths of 320/405 nm for 5 minutes
Data analysis:
Calculate specific activity using the formula:
Specific Activity (pmol/min/μg) = [Adjusted Vmax (RFU/min) × Conversion Factor (pmol/RFU)] / amount of enzyme (μg)
Determine the IC₅₀ value by plotting RFU/min versus Serpin A12 concentration using 4-parameter logistic fitting
Functional Serpin A12 should demonstrate an IC₅₀ of <60 nM under these conditions
This standardized protocol enables quantitative assessment of Serpin A12's inhibitory capacity against its target protease.
When designing experiments with transgenic Serpin A12 mouse models, several critical factors must be addressed to ensure experimental validity and interpretable results:
Expression validation:
Confirm transgene expression through qPCR using primers specific to human SERPINA12 (for human transgene models)
Quantify circulating protein levels using species-specific ELISAs
Compare expression levels to physiological ranges - transgenic models may express supraphysiological levels (>200 ng/ml compared to normal levels)
Genetic background considerations:
Promoter selection:
Comprehensive phenotyping:
Metabolic parameters: glucose tolerance tests, insulin levels, lipid profiles
Tissue analysis: adipose tissue and liver histology to assess tissue remodeling
Energy homeostasis: food intake, energy expenditure, physical activity
Inflammatory markers: cytokine profiles in relevant tissues
Both sexes should be analyzed as metabolic phenotypes often show sexual dimorphism
Environmental challenges:
These design considerations ensure robust experimental protocols for investigating Serpin A12's functions using transgenic models.
Accurate quantification of mouse Serpin A12 expression requires tissue-specific approaches and careful methodology:
mRNA expression analysis by quantitative PCR:
RNA isolation: Extract total RNA from tissues using TRIzol followed by RNA cleanup (RNeasy MinElute)
Reverse transcription: Convert 500 ng RNA to cDNA using standard protocols
qPCR assays: Use TaqMan methodology with species-specific primers
Mouse endogenous serpinA12: Mm00471557_m1
Human SERPINA12 (for transgenic models): Hs00545180_m1
Data normalization: Calculate expression using the ΔΔCT method normalized to housekeeping genes (e.g., 36b4)
Protein quantification:
Tissue protein extraction: Homogenize tissues in appropriate lysis buffers with protease inhibitors
Western blotting: Separate proteins by SDS-PAGE, transfer to membranes, and probe with specific anti-Serpin A12 antibodies
ELISA: Use commercial or custom ELISAs for serum/plasma quantification, ensuring species specificity
Immunohistochemistry: Visualize tissue distribution using specific antibodies on fixed tissue sections
Tissue-specific considerations:
Experimental controls:
These methods provide comprehensive approaches for accurate quantification of Serpin A12 expression across multiple tissues and experimental conditions.
Recombinant Mouse Serpin A12 provides a valuable tool for investigating insulin resistance mechanisms through several sophisticated experimental approaches:
In vivo administration studies:
Administer purified recombinant Serpin A12 to diet-induced or genetically obese mice
Assess improvements in glucose tolerance and insulin sensitivity through:
Glucose tolerance tests (GTT) and insulin tolerance tests (ITT)
Hyperinsulinemic-euglycemic clamp studies for tissue-specific insulin sensitivity
Phosphorylation status of insulin signaling proteins (insulin receptor, IRS-1, Akt) in multiple tissues
Mechanistic pathway analysis:
Cell-based models:
Primary adipocyte cultures treated with Serpin A12 followed by insulin signaling assessment
Hepatocyte insulin resistance models to evaluate direct hepatic effects
Skeletal muscle cell systems to investigate tissue-specific responses
Co-culture systems to examine cross-talk between different metabolic tissues
Comparative studies with other insulin-sensitizing agents:
Side-by-side comparison with established insulin sensitizers (thiazolidinediones, metformin)
Combination treatments to investigate potential synergistic effects
Assessment of tissue-specific versus systemic effects compared to other agents
These approaches leverage Serpin A12's demonstrated ability to improve glucose tolerance, promote circulating insulin elevation, and counteract obesity-induced tissue dysfunction to provide insights into insulin resistance mechanisms .
Investigating the interaction between Serpin A12 and its target proteases, particularly Kallikrein 7 (KLK7), requires specialized techniques:
Enzyme inhibition kinetics:
Determine inhibition constants (Ki) through steady-state kinetic analysis
Characterize inhibition mechanisms (competitive, non-competitive, uncompetitive)
Use fluorogenic substrates like Mca-RPKPVE-Nval-WRK(Dnp)-NH₂ to measure protease activity
Calculate IC₅₀ values through concentration-response curves and 4-parameter logistic fitting
Structural biology approaches:
X-ray crystallography of Serpin A12-protease complexes
Hydrogen-deuterium exchange mass spectrometry to map interaction interfaces
Molecular modeling based on known serpin-protease structures
Site-directed mutagenesis of predicted interaction residues followed by functional testing
Biophysical interaction analysis:
Surface plasmon resonance (SPR) to determine binding kinetics and affinity
Isothermal titration calorimetry (ITC) for thermodynamic parameters of binding
Analytical ultracentrifugation to characterize complex formation
Microscale thermophoresis for binding studies in solution
In situ interaction studies:
Proximity ligation assays in tissue sections to visualize interactions
FRET-based assays in cellular systems
Co-immunoprecipitation from tissues or cell systems expressing both proteins
Live-cell imaging with fluorescently tagged proteins
Proteomic approaches:
Mass spectrometry identification of Serpin A12-bound proteins from tissue extracts
Crosslinking mass spectrometry to capture transient interactions
Serpin A12 affinity purification followed by proteomic analysis of binding partners
These techniques can help elucidate the molecular mechanisms by which Serpin A12 inhibits its target proteases and provides metabolic benefits.
Serpin A12 provides an excellent model for investigating adipose tissue-liver cross-talk in metabolic disease through several experimental approaches:
Tissue-specific expression manipulation:
Compare adipose-specific versus liver-specific Serpin A12 overexpression/knockdown
Assess metabolic parameters in both tissues after manipulation in only one tissue
Measure circulating Serpin A12 levels to determine contribution to systemic pool
Conditioned media experiments:
Culture adipose tissue explants from wild-type and Serpin A12-overexpressing mice
Collect conditioned media and apply to primary hepatocytes
Evaluate changes in hepatocyte insulin sensitivity, lipid metabolism, and inflammatory markers
Perform proteomic analysis of secreted factors in conditioned media
In vivo intervention studies:
Administer recombinant Serpin A12 to obese mice
Analyze concurrent changes in both adipose tissue and liver
Determine if adipose tissue inflammation reduction precedes improvements in liver metabolism
Measure tissue-specific glucose uptake and metabolism using labeled glucose tracers
Molecular signaling analysis:
Identify common signaling pathways affected by Serpin A12 in both tissues
Investigate whether Serpin A12 directly affects liver or acts through adipokine-mediated signals
Examine the impact on inflammatory mediators that might link tissue dysfunction
Existing research demonstrates that Serpin A12 treatment counteracts obesity-induced inflammation and dysfunction in both adipose tissue and liver, suggesting it serves as an important mediator in adipose-liver communication . Transgenic mice overexpressing vaspin show resistance to high-fat diet-induced obesity and metabolic dysfunction, providing evidence for Serpin A12's role in coordinating multi-tissue metabolic responses .
Several critical factors can impact reproducibility in Serpin A12 functional assays, requiring careful experimental design and standardization:
Protein quality factors:
Source variation: Recombinant protein production systems (bacterial vs. insect cell-derived) affect post-translational modifications and activity
Storage conditions: Multiple freeze-thaw cycles reduce activity; aliquoting and proper storage at -80°C is essential
Buffer composition: pH, salt concentration, and presence of stabilizing agents impact protein stability
Purity levels: Contaminants may interfere with functional assays
Assay technical considerations:
Temperature control: Enzyme kinetics are highly temperature-dependent
Incubation times: Standardization is critical for inhibition assays
Substrate quality and concentration: Fluorogenic substrates can degrade with improper storage
Instrumentation calibration: Regular calibration of plate readers is essential for fluorescence detection
Experimental design factors:
Data analysis considerations:
To optimize reproducibility, researchers should follow standardized protocols as described in the literature, including specific buffer compositions (e.g., 50 mM Tris, 150 mM NaCl, pH 8.5 for assay buffer) and validated substrate concentrations (10 μM) .
When reconciling discrepancies between in vitro and in vivo effects of Serpin A12, researchers should consider several key factors:
Physiological context differences:
Concentration disparities: In vitro studies often use higher concentrations than physiologically relevant in vivo levels
Temporal factors: Acute effects in vitro versus chronic adaptations in vivo
Complex environment: In vivo systems include multiple cell types, circulatory factors, and compensatory mechanisms
Tissue cross-talk: Effects in one tissue may indirectly impact other tissues in vivo
Methodological considerations:
Model system limitations: Cell lines may not fully recapitulate primary cell behavior
Species differences: Mouse and human Serpin A12 share only 61% amino acid sequence identity
Technical artifacts: Cell culture conditions may alter cellular phenotypes
Readout selection: Different parameters measured in vitro versus in vivo
Reconciliation strategies:
Bridge models: Use ex vivo tissue explants as intermediate complexity systems
Concentration-response relationships: Test physiologically relevant concentrations in vitro
Time-course studies: Compare acute versus chronic exposures
Multi-parameter assessment: Measure identical endpoints in both systems
Research demonstrates that while in vitro studies show direct effects of Serpin A12 on specific cell types, in vivo studies reveal integrated systemic responses. For example, transgenic mice with extremely high circulating Serpin A12 levels (>200 ng/ml) show resistance to diet-induced obesity and enhanced energy expenditure , which may involve complex physiological adaptations beyond what can be observed in cellular models.
Rigorous experimental design for transgenic Serpin A12 mouse models requires comprehensive controls and validation:
Genetic validation:
Expression validation:
Phenotypic characterization controls:
Littermate controls matched for age, sex, and housing conditions
Wild-type controls from the same genetic background
Multiple independent founder lines to control for integration site effects
Assessment of potential off-target effects or developmental compensation
Experimental design considerations:
Age-matched groups (metabolic parameters change with age)
Sex-balanced cohorts (metabolic phenotypes often show sexual dimorphism)
Standardized diet composition and feeding protocols
Consistent environmental conditions (temperature, light cycles)
Blinded analysis of outcomes where possible
Functional validation:
Verify biological activity of the expressed protein
Confirm expected downstream molecular effects
Compare phenotype with pharmacological administration of recombinant protein
Test multiple metabolic challenges (high-fat diet, glucose tolerance, insulin tolerance)
The h-vaspinTG transgenic model described in the literature underwent rigorous validation, including Southern blot analysis of genomic DNA, serum protein quantification, and tissue-specific expression analysis confirming highest expression in brown adipose tissue followed by subcutaneous white adipose tissue .
Serpin A12 research is significantly advancing our understanding of obesity and insulin resistance through several key research directions:
Protection against metabolic dysfunction:
Transgenic models demonstrate that Serpin A12 overexpression provides protection against diet-induced obesity and metabolic dysfunction
These findings suggest Serpin A12 acts as a compensatory mechanism during metabolic stress
Research indicates that Serpin A12 knockout exacerbates metabolic dysfunction in obesity, further supporting its protective role
Mechanistic insights:
The inhibition of KLK7-mediated insulin degradation represents a novel mechanism influencing insulin bioavailability
Serpin A12's ability to improve glucose tolerance while potentially inhibiting high glucose-induced insulin receptor activation suggests complex regulatory functions
Anti-inflammatory effects in adipose tissue and vascular cells indicate broader roles beyond direct insulin signaling
Tissue-specific effects:
Expression primarily in adipose tissue with effects on liver function highlights Serpin A12's role in inter-tissue communication
Different expression patterns across adipose depots (BAT, subcutaneous vs. visceral) suggest depot-specific functions
Effects on both metabolism and inflammation connect these often-linked pathological processes
Translational potential:
Correlation between serum levels and metabolic status in both rodents and humans suggests potential as a biomarker
Therapeutic effects of recombinant protein administration provide proof-of-concept for intervention strategies
Identification of SERPINA12 variants in human disease (palmoplantar keratoderma) reveals unexpected connections between metabolism and skin disorders
Current research trajectories suggest Serpin A12 functions as part of an integrated response system to metabolic stress, with potential as both a biomarker and therapeutic target for obesity-related metabolic disorders.
Recent research has revealed unexpected connections between Serpin A12 and diverse pathophysiological processes beyond its established metabolic functions:
Dermatological disorders:
Loss-of-function variants in human SERPINA12 have been implicated in autosomal recessive diffuse hereditary palmoplantar keratoderma (hPPK)
This reveals an unexpected role in skin barrier function and keratinocyte biology
The disorder shares similarities with Nagashima-type PPK caused by variants in another serpin, SERPINB7
European patients with a novel SERPINA12 c.1100G>A p.(Gly367Glu) missense variant demonstrate that the variant spectrum extends beyond previously reported Asian populations
Bone metabolism:
Vascular biology:
Protease networks beyond KLK7:
These emerging connections highlight Serpin A12 as a multifunctional regulator involved in diverse physiological processes, suggesting potential therapeutic applications beyond metabolic disease and new directions for understanding tissue-specific protease regulation.
Recombinant Serpin A12 research presents several promising therapeutic applications based on its demonstrated biological activities:
Metabolic disease interventions:
Treatment of obesity-related insulin resistance: Recombinant vaspin treatment counteracts obesity-induced inflammation and dysfunction of adipose tissue and liver and partly restores glucose tolerance
Prevention of metabolic deterioration: Transgenic models demonstrate resistance to obesogenic conditions, suggesting preventive potential
Liver steatosis protection: Effects on liver metabolism suggest applications in non-alcoholic fatty liver disease
Novel delivery approaches:
Combination therapies:
Synergistic potential with established diabetes treatments
Anti-inflammatory/insulin-sensitizing dual-action therapy
Adjunctive therapy for patients with suboptimal response to standard treatments
Specialized applications based on emerging roles:
Biomarker development:
Diagnostic markers for metabolic disease risk stratification
Predictive biomarkers for treatment response
Monitoring markers for disease progression
The most advanced therapeutic direction appears to be metabolic disease intervention, supported by multiple lines of evidence showing that both transgenic overexpression and recombinant protein administration improve metabolic parameters in obesity and insulin resistance models . The demonstration that extremely high circulating levels (>200 ng/ml) in transgenic mice enhance energy expenditure and limit diet-induced obesity provides strong preclinical rationale for therapeutic development .