Vaspin (visceral adipose tissue-derived serine protease inhibitor), also known as SERPINA12, is an adipokine first identified in visceral adipose tissue of Otsuka Long-Evans Tokushima fatty (OLETF) rats, an animal model of obesity and type 2 diabetes (T2D) . In humans, vaspin is a 45.2 kDa protein composed of 395 amino acids, sharing 40.5% homology with α1-antitrypsin . It functions as a serine protease inhibitor with roles in glucose metabolism, insulin sensitivity, and inflammation modulation .
Insulin Sensitivity: Recombinant human vaspin (rhVaspin) administration improves glucose tolerance in obese mice by normalizing adipokine expression (e.g., leptin, resistin, TNF-α) and enhancing adiponectin levels .
Anti-inflammatory Effects: Suppresses proinflammatory cytokines and reduces ER stress in hepatocytes and adipose tissue .
Primary Sources: Expressed in visceral adipose tissue, skin, hypothalamus, pancreatic islets, and stomach .
Gender Differences: Circulating vaspin levels are higher in females and correlate with BMI and insulin resistance in non-diabetic individuals .
Physical Training: A 4-week exercise program increased serum vaspin in untrained individuals, suggesting a compensatory mechanism .
Pharmacological Effects: Metformin reduces vaspin levels, while insulin sensitizers like pioglitazone restore its expression .
Gene Expression Modulation: Reverses obesity-induced alterations in 50% of white adipose tissue genes, including glucose transporter-4 (GLUT4) and adiponectin .
ER Stress Mitigation: Reduces GRP78-mediated ER stress in hepatocytes, improving insulin signaling .
Protease Targets: Kallikrein 7 and 14 are proposed targets, but their physiological relevance remains unclear .
Clinical Paradox: Elevated vaspin in obesity contrasts with its insulin-sensitizing effects, suggesting context-dependent roles .
Genetic Associations: Mendelian randomization studies indicate SERPINA12 variants linked to T2D risk, but causal pathways are undefined .
Vaspin, short for visceral adipose-specific SERPIN, is an adipokine belonging to the serine protease inhibitor family. This recently discovered protein has been shown to improve insulin sensitivity, particularly in individuals struggling with obesity. Studies indicate that the expression of the human vaspin gene in adipose tissue is influenced by the specific type of fat tissue and may be linked to factors such as body mass, insulin resistance, and the body's ability to process glucose.
Recombinant Human Vaspin, produced in E. coli bacteria, is a single-chain polypeptide consisting of 394 amino acids. This non-glycosylated protein has a molecular weight of 45.1 kDa. The purification process of Vaspin involves advanced chromatographic techniques to ensure its high purity.
Sterile Filtered White lyophilized powder.
The product is provided as a lyophilized powder, obtained by freeze-drying a 0.2µm filtered solution. The solution used for lyophilization contains 20mM Tris-HCl buffer with a pH of 8.0, 150mM NaCl (sodium chloride), and 0.02% Tween-20.
To reconstitute the lyophilized Vaspin, it is recommended to dissolve it in sterile 18 MΩ-cm H2O (water) at a concentration of at least 100 µg/ml. This solution can be further diluted with other aqueous solutions as needed.
While the lyophilized Vaspin remains stable at room temperature for up to 3 weeks, it is recommended to store it desiccated at a temperature below -18°C for long-term preservation. After reconstitution, the Vaspin solution should be stored at 4°C and is stable for 2-7 days. For extended storage, it is advisable to store the reconstituted solution below -18°C. It is important to avoid repeated cycles of freezing and thawing to maintain protein stability.
The purity of Vaspin is greater than 98.0%, as confirmed by the following analytical methods:
(a) High-Performance Liquid Chromatography (RP-HPLC) analysis.
(b) Sodium Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis (SDS-PAGE) analysis.
Serpin A12 precursor, Visceral adipose-specific serpin, Visceral adipose tissue- derived serine protease inhibitor, Vaspin, OL-64, SERPINA12, Serine (or cysteine) proteinase inhibitor, clade A, antitrypsin, alpha-1 antiproteinase.
Escherichia Coli.
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Vaspin is a cytokine originally identified in visceral adipose tissue of Otsuka Long-Evans Tokushima fatty rats. The name "Vaspin" is an abbreviation for visceral adipose tissue-derived serine protease inhibitor (serpinA12) . Beyond visceral adipose tissue, vaspin is also expressed in the skin, hypothalamus, pancreatic islets, and stomach .
Physiologically, vaspin appears to exert an anti-inflammatory role by inhibiting several proinflammatory adipokines such as leptin, resistin, and Tumor Necrosis Factor-α (TNF-α) . It stimulates adiponectin expression and improves insulin sensitivity in mouse models . Human studies have demonstrated vaspin's potential role in modulating eating behavior, as it follows a meal-related diurnal variation pattern .
Serum vaspin concentrations are significantly higher in obese individuals compared to normal-weight subjects. A controlled study found mean vaspin levels of 0.82 ± 0.62 ng/mL in obese patients versus 0.43 ± 0.59 ng/mL in normal-weight controls (p < 0.001) .
In research populations, vaspin concentration positively correlates with several obesity parameters:
Logistic regression analysis has shown that increased BMI is the most significant factor stimulating vaspin concentrations (OR = 8.5; 95% CI: 1.18–61.35; p = 0.0338) . This suggests vaspin may serve as a compensatory mechanism in response to obesity-related metabolic changes.
The standard method for measuring vaspin in research settings is enzyme-linked immunosorbent assay (ELISA). When conducting vaspin analysis, researchers should follow these methodological steps:
Collect blood samples after a 12-hour fasting period
Centrifuge samples and store serum at -80°C until analysis
Use a validated human vaspin ELISA kit (such as the human visceral adipose-specific serine protease inhibitor ELISA Kit)
Perform measurements in duplicate to ensure accuracy
Calculate mean concentration from duplicate readings
When reporting results, researchers should clearly document the specific kit used, sample handling procedures, and analytical conditions to ensure reproducibility across studies.
Vaspin appears to function as an insulin-sensitizing adipokine. Several lines of evidence support this relationship:
In animal models, vaspin administration to obese mice fed a high-fat/high-sucrose diet improved both insulin sensitivity and glucose tolerance
Human studies have shown positive correlations between vaspin concentration and insulin concentration and HOMA-IR values
Vaspin expression decreases with worsening diabetes and body weight loss, suggesting a compensatory upregulation in early metabolic dysfunction
Administration of recombinant human vaspin improves glucose tolerance in diet-regulated mice
The insulin-sensitizing effect of vaspin appears to operate through several mechanisms, including:
Suppression of proinflammatory adipokines (TNF-α, resistin, leptin)
Upregulation of adiponectin
Enhanced expression of glucose transporter type 4 (GLUT4) in white adipose tissue
Genetic variations in the vaspin gene have been associated with serum vaspin levels but show limited direct association with eating behavior or metabolic phenotypes. A study in a self-contained population of Sorbs (Germany) investigated 28 single nucleotide polymorphisms (SNPs) in the vaspin gene and found:
Genetic variants in vaspin were associated with serum vaspin levels
These variations showed no significant association with eating behavior phenotypes after accounting for multiple testing (P≥0.05 after adjusting for age, gender and BMI)
This suggests that while genetic factors influence circulating vaspin levels, the relationship between vaspin genetics and metabolic outcomes is complex and likely involves interactions with environmental factors and other genetic determinants.
When designing genetic association studies involving vaspin, researchers should:
Include a comprehensive SNP panel covering the vaspin gene
Account for population stratification
Adjust for key covariates (age, gender, BMI)
Consider gene-environment interactions
Perform appropriate corrections for multiple testing
When investigating vaspin's role in metabolic syndrome, researchers should implement a comprehensive methodological approach:
Study Design Considerations:
Include properly matched case-control groups (by age and sex)
Ensure adequate sample sizes based on power calculations (minimum 10 subjects per group for 80% power in detecting significant differences in vaspin levels)
Account for confounding variables through:
Multivariate analysis
Stratification by key metabolic parameters
Adjustment for age, gender, and BMI in correlation analyses
Assessment Parameters:
Comprehensive anthropometric measurements:
BMI, WHR
Body composition analysis (percentage and mass of adipose tissue)
Metabolic parameters:
Fasting glucose and insulin
Lipid profile (LDL, HDL, total cholesterol, triglycerides)
HOMA-IR index calculation
Inflammatory markers:
High-sensitivity C-reactive protein (hs-CRP)
Interleukin-6 (IL-6)
Blood pressure measurements
Statistical Approaches:
Check parameter distributions using appropriate tests (e.g., Shapiro-Wilk)
Use parametric or non-parametric tests as appropriate
Perform correlation analyses (Pearson's or Spearman's)
Adjust correlations for confounding variables
Consider logistic regression to identify predictive relationships
Apply appropriate corrections for multiple comparisons (e.g., Bonferroni-Hochberg)
Vaspin has been investigated for its potential role in human eating behavior, with early evidence suggesting a complex relationship:
Vaspin follows a meal-related diurnal variation in humans, indicating a potential role in appetite regulation
Intracerebroventricular vaspin administration leads to acutely reduced food intake in db/db mice, suggesting central nervous system effects on appetite
In a study of 548 subjects from the Sorbs population, the following relationships were observed:
Hypothalamic signaling pathways
Interactions with established appetite-regulating hormones
Potential region-specific effects in the brain
Temporal relationship between vaspin secretion and meal patterns
Vaspin appears to function as an anti-inflammatory agent in the context of obesity and metabolic disorders, though the relationship is complex. Research has shown:
Vaspin administration results in the suppression of proinflammatory adipokines, including TNF-α, resistin, and leptin
Paradoxically, in human studies, vaspin concentration positively correlates with inflammatory markers:
After adjusting for age and BMI, vaspin concentration remained correlated with hs-CRP level, suggesting an independent relationship with inflammation
This apparent contradiction (anti-inflammatory effects in experimental models versus positive correlation with inflammatory markers in human studies) may reflect vaspin's compensatory role in the inflammatory state associated with obesity. Elevated vaspin levels may represent an attempted counterregulatory response to increased inflammation rather than a causative factor.
Future research should focus on:
Temporal dynamics of vaspin secretion in relation to inflammatory cascades
Cell-specific responses to vaspin in different tissues
Downstream molecular targets of vaspin in inflammatory pathways
Potential use of vaspin as an anti-inflammatory therapeutic agent
Vaspin shows promise as a biomarker for metabolic disorders, particularly obesity-related complications. Evidence supporting its potential includes:
Significantly higher serum vaspin concentrations in obese individuals compared to normal-weight subjects (0.82 ± 0.62 vs. 0.43 ± 0.59 ng/mL; p < 0.001)
Positive correlations with key metabolic parameters:
Association with adiposity measures (body weight, BMI, WHR, percentage of adipose tissue)
For vaspin to be established as a clinical biomarker, several research considerations must be addressed:
Standardization of measurement techniques and reference ranges
Determination of age and gender-specific normal values
Establishment of clinically relevant cut-off points
Longitudinal studies to assess predictive value for disease progression
Comparative studies with established biomarkers
Cost-effectiveness analyses for routine clinical implementation
Current evidence suggests vaspin may be particularly useful as "an auxiliary diagnostic parameter for new therapeutic approaches in obesity-related complications" , though larger cohort studies are needed to confirm these preliminary findings.
When working with recombinant human vaspin in research settings, the following technical specifications should be considered:
Molecular weight: 45.2 kDa
Structure: Protein containing 395 amino acid residues
Sequence homology: Exhibits 40.2% sequence identity with alpha1-antitrypsin
Classification: Member of the serpin (serine-protease inhibitors) family
Storage requirements: Follow manufacturer guidelines; typically stored at -80°C
Reconstitution: Refer to lot-specific Certificate of Analysis for proper handling
Recombinant vaspin preparations for research typically come in various sizes (25 μg, 250 μg, 500 μg, 1 mg) with specific shipping and storage requirements. Researchers should verify the purity and biological activity of commercial preparations before experimental use.
When designing experiments to study vaspin's effects on glucose metabolism, researchers should consider the following methodological aspects:
In Vitro Studies:
Selection of appropriate cell models:
Adipocytes (primary or cell lines)
Hepatocytes
Skeletal muscle cells
Pancreatic β-cells
Dose-response relationships to determine optimal vaspin concentrations
Time-course experiments to capture both acute and chronic effects
Assessment of glucose uptake, insulin signaling pathways, and related gene expression changes
Animal Studies:
Selection of appropriate animal models:
Diet-induced obesity models
Genetic models of obesity/diabetes (e.g., db/db mice)
Age and gender considerations
Administration routes:
Intraperitoneal
Intravenous
Intracerebroventricular (for CNS effects)
Chronic administration via osmotic pumps
Comprehensive metabolic phenotyping:
Glucose tolerance tests
Insulin tolerance tests
Hyperinsulinemic-euglycemic clamps
Tissue-specific glucose uptake
Human Studies:
Clearly defined inclusion/exclusion criteria
Standardized protocols for sample collection
Consideration of confounding factors (medications, comorbidities)
Adequate sample size based on power calculations
Appropriate statistical methods for data analysis
For all study types, researchers should report detailed methodological procedures to facilitate reproduction and validation of results.
The vaspin literature contains several apparent contradictions that researchers should address:
Vaspin and inflammation:
Vaspin and eating behavior:
Vaspin and medical interventions:
To address these contradictions, researchers should:
Consider species-specific differences in vaspin function
Distinguish between correlation and causation in observational studies
Account for potential compensatory mechanisms (vaspin elevation may be a response to, rather than cause of, metabolic disturbances)
Design studies that control for confounding variables
Perform mechanistic studies to elucidate molecular pathways
Consider tissue-specific effects of vaspin that may explain systemic contradictions
Use longitudinal designs to capture temporal relationships
Meta-analyses and systematic reviews may help reconcile contradictory findings across different studies and populations.
Despite growing interest in vaspin, several significant knowledge gaps remain:
Molecular mechanisms: The specific protease inhibitory activity of vaspin remains unknown, despite its classification as a serine protease inhibitor
Receptor identification: The primary receptor(s) through which vaspin exerts its metabolic effects have not been definitively characterized
Tissue-specific actions: How vaspin functions differently across various tissues (adipose, liver, muscle, brain) requires further investigation
Human relevance: Most mechanistic insights come from animal models; translation to human physiology needs validation
Therapeutic potential: While vaspin administration improves glucose tolerance in mouse models, its potential as a therapeutic agent for human metabolic disorders remains unexplored
Genetic regulation: Comprehensive understanding of factors regulating vaspin gene expression is incomplete
Biomarker standardization: Reference ranges and cut-off values for clinical use are not established
Addressing these knowledge gaps will require multidisciplinary approaches combining molecular biology, clinical research, and bioinformatics to fully elucidate vaspin's role in human metabolism.
Future research on vaspin should explore several innovative approaches:
Systems biology approaches:
Multi-omics integration (genomics, transcriptomics, proteomics, metabolomics)
Network analysis of vaspin interactions with other metabolic regulators
Computational modeling of vaspin's effects on whole-body metabolism
Advanced imaging techniques:
PET/CT imaging with labeled vaspin to track tissue distribution
Real-time cellular imaging of vaspin-induced signaling events
In vivo molecular imaging of vaspin action in metabolic tissues
Genetic manipulation strategies:
CRISPR/Cas9-mediated vaspin knockout models
Tissue-specific conditional knockout models
Humanized mouse models expressing human vaspin variants
Translational research:
Vaspin-based therapeutic development
Clinical trials evaluating vaspin as a biomarker
Personalized medicine approaches based on vaspin profiles
Novel delivery systems:
Nanoparticle-based delivery of vaspin to specific tissues
Modified vaspin with extended half-life for therapeutic applications
Combination approaches with other metabolic modulators
These approaches could provide deeper insights into vaspin's physiological roles and potential therapeutic applications in metabolic disorders.
Vaspin research has several potential clinical applications that could impact metabolic medicine:
Diagnostic biomarker:
Risk stratification in obesity and prediabetes
Early detection of metabolic syndrome
Monitoring response to lifestyle interventions
Therapeutic target:
Development of vaspin analogs or receptor agonists
Combination therapies targeting multiple adipokines
Personalized treatment approaches based on vaspin levels
Predictive medicine:
Identification of individuals at higher risk for obesity complications
Prediction of response to specific interventions
Risk assessment for cardiovascular complications in obesity
Treatment monitoring:
Biomarker for therapeutic efficacy
Guide for treatment intensity and duration
Indicator of metabolic health improvement
As noted in the research, "vaspin appears to be a useful diagnostic parameter for new therapeutic approaches in obesity-related complications" . The translational potential of vaspin research remains significant, though further clinical validation is required before implementation in routine medical practice.
Vaspin is a protein consisting of 395 amino acid residues, with a molecular weight of approximately 45.2 kDa . The protein structure of vaspin includes three beta-sheets, nine alpha-helices, and one central loop, which are characteristic features of serpin family members . These structural elements are crucial for its function as a serine protease inhibitor.
Vaspin is known to play a role in various biological processes, including:
Despite its structural similarity to other serpins, the specific protease inhibitory activity of vaspin remains unknown . However, it has been observed that vaspin mRNA expression in visceral fat is positively correlated with body mass index (BMI) and the percentage of body fat .
Administration of vaspin to obese mice has shown promising results, including improved glucose tolerance and insulin sensitivity, which is reflected by normalized blood glucose levels . This suggests that vaspin may have potential therapeutic applications in the treatment of metabolic disorders such as obesity and type 2 diabetes.
Recombinant human vaspin is produced using Escherichia coli expression systems . The recombinant protein is typically purified to a high degree of purity (≥ 98%) using SDS-PAGE gel and HPLC analyses . It is available in lyophilized form and can be reconstituted for various laboratory applications, including Western blot, ELISA, and functional assays .