Visfatin antibodies are immunoglobulins designed to bind specifically to visfatin/NAMPT, enabling its detection in tissues, cells, or biofluids. They are categorized by host species, clonality, and epitope specificity:
Note: Cross-reactivity varies; e.g., MAB40441 detects visfatin in human, mouse, and rat tissues , while others are species-specific.
Visfatin antibodies are employed in diverse experimental workflows to study visfatin’s roles in metabolic and inflammatory diseases:
Detection: Identifies visfatin in lysates (e.g., human heart, liver, cancer cell lines) .
Optimized Protocols:
Tissue Localization: Demonstrates visfatin expression in macrophages (atherosclerotic plaques) , mammary cancer , and intestinal epithelia .
Antigen Retrieval: EDTA buffer (pH 8.0) enhances staining in paraffin-embedded sections .
Subcellular Localization: Reveals nuclear and cytoplasmic visfatin in HeLa and A549 cells .
Co-staining: Combines with DAPI (nuclei) and phalloidin (actin) .
Visfatin antibodies have elucidated critical roles of visfatin in pathophysiology:
Macrophage Involvement:
Insulin-Mimetic Effects:
Dual Role in Cell Survival:
Visfatin, also known as Pre-B cell colony-enhancing factor (PBEF) or nicotinamide phosphoribosyltransferase (NAMPT), is a multifaceted molecule that plays crucial roles in inflammation, apoptosis, and metabolic regulation. It has gained significant research interest due to its involvement in various pathophysiological processes, including insulin resistance, inflammation, and cellular energy metabolism. Visfatin has been shown to exert regulatory effects on inflammatory processes in multiple cell types and tissues, making it an important target for studying conditions like nonalcoholic fatty liver disease (NAFLD), metabolic disorders, and inflammatory diseases . Research has revealed that visfatin can induce proinflammatory cytokine production and inhibit insulin signaling via critical pathways such as STAT3 and NF-κB, positioning it as a potential mediator in the development of insulin resistance and chronic inflammation .
Visfatin antibodies are employed across various experimental techniques in molecular and cellular biology research. Based on current literature, the primary applications include:
| Application | Description | Common Detection Systems |
|---|---|---|
| Western Blotting | Detection of visfatin protein expression levels in cell/tissue lysates | HRP-conjugated secondary antibodies |
| Immunocytochemistry/Immunofluorescence | Visualization of cellular localization and expression patterns | Fluorescent-conjugated secondary antibodies |
| ELISA | Quantitative measurement of visfatin in culture media, serum, or tissue extracts | Colorimetric detection systems |
| Flow Cytometry | Analysis of visfatin expression in individual cells | Fluorescent-conjugated secondary antibodies |
| Immunohistochemistry | Detection of visfatin in tissue sections | Colorimetric or fluorescent detection systems |
These techniques have been validated across multiple species including human, mouse, and rat samples, making visfatin antibodies versatile tools for comparative and translational research .
When selecting a visfatin antibody, consider these key factors based on your research objectives:
Species reactivity: Ensure the antibody recognizes visfatin from your species of interest. Available antibodies demonstrate reactivity with human, mouse, and rat visfatin .
Application compatibility: Verify the antibody has been validated for your specific application. For example, some antibodies perform optimally in Western blot but may not work as well for immunohistochemistry .
Epitope recognition: Consider whether you need an antibody that recognizes a specific region of visfatin, especially if studying specific fragments or post-translational modifications.
Validation evidence: Review the antibody's validation data, such as Western blot images showing clear bands at the expected molecular weight (~52 kDa for visfatin) .
Clonality: Monoclonal antibodies (like clone #882104) offer high specificity for a single epitope, while polyclonal antibodies can provide enhanced sensitivity by recognizing multiple epitopes .
For verification, check published literature where the specific antibody has been successfully used in similar experimental conditions to your research model.
Based on published protocols, the following optimized conditions are recommended for visfatin detection by Western blot:
Sample preparation:
Use appropriate lysis buffers (e.g., RIPA buffer with protease inhibitors)
Load 20-40 μg of total protein per lane
Electrophoresis conditions:
Transfer and blocking:
Transfer to PVDF membrane
Block with 5% non-fat dry milk or BSA in TBST
Antibody incubation:
Detection parameters:
These conditions have been validated across multiple cell lines, including 293T human embryonic kidney cells, RAW 264.7 mouse monocyte/macrophage cells, Neuro-2A mouse neuroblastoma cells, and various human tissue samples .
For optimal immunocytochemistry results when detecting visfatin, follow this methodological approach:
Cell preparation:
Culture cells on sterile coverslips in appropriate media
Allow cells to reach 70-80% confluence for optimal visualization
Fixation and permeabilization:
Fix cells in 4% paraformaldehyde/PBS for 15-20 minutes at room temperature
Permeabilize with 0.1-0.5% Triton X-100 if detecting intracellular visfatin
Blocking:
Antibody incubation:
Nuclear counterstaining and mounting:
This approach has been successfully employed to visualize visfatin expression and localization in various cell types, providing insights into its subcellular distribution patterns.
Robust experimental design for visfatin research requires appropriate controls to ensure validity and reproducibility:
Positive controls:
Negative controls:
Primary antibody omission control
Isotype control antibody
Cell lines with PBEF/NAMPT knockdown or knockout
Treatment validation controls:
When studying visfatin's effects, include baseline/untreated controls
For inflammation studies, include positive controls like LPS treatment
For signaling pathway investigations, include specific pathway inhibitors as validation controls (e.g., AG490 for JAK2 inhibition, Bay 7082 for NF-κB inhibition)
Technical controls:
Loading controls for Western blot (β-actin, GAPDH)
Housekeeping genes for qPCR (GAPDH, β-actin, 18S rRNA)
Vehicle controls for treatments
Quantification controls:
Standard curves for ELISA measurements
Concentration gradients for dose-response experiments
These controls help distinguish specific visfatin-mediated effects from experimental artifacts and provide necessary reference points for data interpretation.
Visfatin has been identified as a key mediator in inflammatory processes across various tissue and cell types. Researchers can leverage visfatin antibodies to explore these mechanisms through several sophisticated approaches:
Inflammatory cytokine profiling:
Signaling pathway dissection:
Combine visfatin antibody detection with phospho-specific antibodies against key inflammatory signaling molecules
Studies have demonstrated that visfatin activates the JAK2/STAT3 and IKK/NF-κB signaling pathways
Use pathway inhibitors (AG490 for JAK2, Bay 7082 for NF-κB) to confirm specificity of visfatin-mediated effects
Time-course experiments:
Transcriptomic analysis:
This multi-faceted approach allows researchers to comprehensively map visfatin's role in inflammation, from receptor engagement to downstream gene expression changes.
Investigating visfatin's involvement in insulin resistance requires sophisticated experimental designs incorporating several methodological approaches:
Insulin signaling pathway analysis:
Use Western blotting with antibodies against key insulin signaling proteins (IR, IRS-1, AKT, GSK-3α/β) and their phosphorylated forms
Research has shown visfatin reduces the phosphorylation of IR, IRS-1 (Tyr612), AKT, and GSK-3α/β while increasing IRS-1 S307 phosphorylation, which is associated with insulin resistance
Glucose metabolism assays:
Measure glucose uptake using radiolabeled glucose
Assess glycogen synthesis and glucose oxidation rates in response to visfatin treatment
Monitor gluconeogenic enzyme expression and activity
Signaling inhibition experiments:
Cell model systems:
Gene expression analysis:
Measure mRNA expression of insulin signaling components and glucose metabolism genes
Assess changes in inflammatory cytokines that may mediate insulin resistance
A comprehensive experimental approach would involve measuring both direct effects on insulin signaling pathways and indirect effects mediated through inflammatory processes, as visfatin appears to impact insulin sensitivity through both mechanisms.
Visfatin has emerged as a regulator of osteoclast differentiation and function through its interactions with the RANKL pathway. Researchers can employ visfatin antibodies to investigate this process through several methodological approaches:
Visfatin secretion during osteoclastogenesis:
Visfatin expression pattern analysis:
Functional studies:
Combine visfatin neutralizing antibodies with osteoclastogenesis assays to determine the requirement for visfatin in this process
Add exogenous visfatin at different time points during RANKL treatment to identify critical windows for visfatin's effects
Downstream signaling pathway analysis:
Use Western blotting and phospho-specific antibodies to examine how visfatin modulates RANKL-induced signaling pathways
Focus on NF-κB, MAPK, and NFATc1 pathways that are critical for osteoclastogenesis
Transcriptional regulation:
Perform ChIP assays to identify visfatin-dependent transcriptional changes during osteoclast differentiation
Analyze expression of osteoclast-specific genes in the presence/absence of visfatin
This multi-faceted approach allows researchers to comprehensively map visfatin's role in osteoclastogenesis, from its secretion patterns to its effects on downstream signaling and gene expression changes that drive osteoclast differentiation and function.
Researchers frequently encounter several challenges when working with visfatin antibodies. Here are evidence-based solutions for addressing these issues:
Weak or absent signal in Western blot:
Increase antibody concentration (try 0.5-1.0 μg/mL as validated in published protocols)
Optimize primary antibody incubation time (overnight at 4°C typically yields better results)
Ensure proper transfer by using validated buffer systems (e.g., Immunoblot Buffer Group 1)
Increase protein loading to 30-40 μg per lane
High background in immunocytochemistry:
Improve blocking conditions (extend blocking time to 2 hours)
Dilute primary antibody further
Increase washing steps between antibody incubations
Use highly cross-adsorbed secondary antibodies to reduce non-specific binding
Pre-absorb primary antibodies with cell or tissue lysates
Inconsistent ELISA results:
Ensure sample preparation consistency
Generate new standard curves with each experiment
Validate antibody pairs for capture and detection
Monitor temperature conditions during all incubation steps
Use technical replicates (minimum of triplicate measurements)
Cross-reactivity concerns:
Sensitivity limitations:
Employ signal amplification systems when needed
Use fresh reagents and avoid repeated freeze-thaw cycles of antibodies
Consider more sensitive detection methods (chemiluminescence for Western blot, fluorescent secondary antibodies for imaging)
These troubleshooting approaches are based on validated protocols used successfully in published research and can significantly improve experimental outcomes when working with visfatin antibodies.
Detecting visfatin in difficult samples requires specialized optimization strategies:
For fixed tissue samples:
Optimize antigen retrieval methods (heat-induced epitope retrieval at pH 6.0 or pH 9.0)
Test different fixation protocols (4% paraformaldehyde typically preserves epitopes better than formalin for some antibodies)
Use tyramide signal amplification (TSA) to enhance sensitivity
Consider thicker sections (8-10 μm) for improved signal detection
Extend primary antibody incubation time (overnight at 4°C or up to 48 hours for challenging samples)
For high-fat tissues (adipose, liver with steatosis):
Incorporate additional delipidation steps in sample preparation
Use detergent-enhanced buffer systems for better penetration
Extend washing steps to remove lipid interference
Consider using fluorescent detection methods which may be less susceptible to lipid interference
For samples with high autofluorescence:
Pre-treat with sodium borohydride to reduce autofluorescence
Use far-red fluorophores that minimize overlap with autofluorescence spectra
Employ specific autofluorescence quenching agents
Consider non-fluorescent detection methods like chromogenic immunohistochemistry
For limited sample quantities:
Scale down protocols using microfluidic Western blotting
Employ ultra-sensitive ELISA techniques with lower sample requirements
Consider using multiplex detection platforms to maximize data from minimal sample
Use carrier proteins for very dilute samples
For degraded samples:
Target more stable epitopes that resist degradation
Use antibody cocktails targeting multiple epitopes
Implement more stringent protease inhibition during sample preparation
Consider protocols optimized for formalin-fixed paraffin-embedded (FFPE) samples
These optimization strategies can significantly improve detection sensitivity and specificity in challenging tissue types, enabling successful visfatin detection even in complex biological matrices.
Research has revealed dual roles for visfatin in inflammatory processes, which may appear contradictory. Here's how to interpret such findings:
Researchers should explicitly address these contextual factors in experimental design and interpretation, including appropriate timepoints, concentration ranges, cell types, and pathway analyses to fully characterize visfatin's inflammatory roles.
When analyzing visfatin expression data, researchers should employ rigorous statistical approaches tailored to the experimental design:
These statistical approaches ensure robust and reproducible analysis of visfatin expression data across experimental conditions, enhancing the reliability and interpretability of research findings.
Comprehensive pathway analysis requires integration of visfatin antibody-based findings with complementary techniques:
Multi-omics integration:
Combine antibody-based protein detection with transcriptomic analysis
Research has demonstrated the value of this approach, revealing 1225 differentially expressed genes in response to visfatin treatment
Correlate protein-level changes (detected by antibodies) with mRNA expression patterns
Add metabolomic profiling to understand downstream functional consequences
Use systems biology approaches to integrate these multi-omics datasets
Functional validation through genetic manipulation:
Complement antibody-based detection with gene knockdown/knockout studies
Use siRNA, shRNA, or CRISPR-Cas9 to modulate visfatin expression
Assess rescue experiments with recombinant visfatin
Determine phenotypic outcomes of genetic manipulation on cellular processes
Live-cell imaging techniques:
Combine fixed-cell antibody imaging with live-cell reporters
Use fluorescent fusion proteins to monitor real-time dynamics
Implement FRET-based reporters to detect protein-protein interactions
Correlate static antibody-based imaging with dynamic cellular processes
Signaling pathway dissection:
Computational modeling:
Develop predictive models based on experimental data
Use machine learning approaches to identify patterns in complex datasets
Implement network analysis to map protein-protein interactions
Validate computational predictions with targeted experiments
Translational relevance:
Connect in vitro findings to in vivo models
Compare cell culture results with tissue samples
Evaluate clinical correlations where appropriate
Consider species differences when interpreting results across models
This integrated approach provides a comprehensive understanding of visfatin's role in cellular pathways, moving beyond simple protein detection to mechanistic insights and functional consequences in complex biological systems.
Visfatin research is expanding beyond established paradigms into novel areas of metabolic disease investigation:
Non-alcoholic fatty liver disease (NAFLD) mechanisms:
Use visfatin antibodies to track expression changes during NAFLD progression
Study hepatocyte-specific visfatin signaling using co-localization with cell-type markers
Research has established that visfatin can induce inflammation and insulin resistance in hepatocytes via the NF-κB and STAT3 pathways, making it a potential therapeutic target
Metabolic inflammation intersection:
Investigate the "meta-inflammation" concept by studying visfatin's dual role in metabolic and inflammatory pathways
Use dual immunostaining to identify cells expressing both visfatin and inflammatory markers in metabolic tissues
Apply tissue clearing techniques with visfatin antibodies for 3D visualization of expression patterns in intact organs
Circadian rhythm impacts:
Apply visfatin antibodies to study time-dependent expression patterns
Correlate with circadian clock gene expression
Examine metabolic consequences of circadian disruption on visfatin signaling
Extracellular vesicle (EV) research:
Use visfatin antibodies to study its packaging into EVs
Investigate intercellular communication via visfatin-containing EVs
Examine tissue-specific EV uptake and resulting signaling changes
Gut-liver axis studies:
Examine how gut microbiome changes affect visfatin expression
Study enteric nervous system regulation of visfatin production
Investigate portal circulation as a mediator of visfatin effects between gut and liver
These emerging research directions leverage visfatin antibodies to explore novel aspects of metabolic disease pathophysiology, potentially revealing new therapeutic targets and biomarkers for conditions like NAFLD, metabolic syndrome, and type 2 diabetes.
Recent technical innovations offer significant opportunities to enhance visfatin detection:
Single-cell analysis techniques:
Implement mass cytometry (CyTOF) with visfatin antibodies for high-dimensional single-cell profiling
Apply single-cell Western blotting to detect visfatin heterogeneity within populations
Use imaging mass cytometry for spatial resolution of visfatin expression in tissues
Advanced microscopy methods:
Super-resolution microscopy (STORM, PALM) for nanoscale visualization of visfatin localization
Expansion microscopy to physically enlarge samples for improved resolution
Light-sheet microscopy for rapid 3D imaging of visfatin in cleared tissues
Proximity labeling approaches:
BioID or APEX2 proximity labeling to identify visfatin interaction partners
Combine with mass spectrometry for unbiased discovery of protein complexes
Validate interactions using traditional co-immunoprecipitation with visfatin antibodies
Antibody engineering advances:
Nanobodies/single-domain antibodies for improved tissue penetration
Bispecific antibodies targeting visfatin and pathway components simultaneously
Site-specific conjugation techniques for optimal reporter attachment
Microfluidic technologies:
Droplet-based single-cell proteomics
Organ-on-chip models with integrated antibody-based detection
Microfluidic Western blotting for enhanced sensitivity with minimal sample requirements
These technological advances enable researchers to detect visfatin with unprecedented sensitivity, specificity, and spatial resolution, providing deeper insights into its localization, interaction partners, and functional heterogeneity across different cellular contexts.
When planning visfatin antibody-based experiments, researchers should consider several critical factors to ensure robust and reproducible results:
Experimental context alignment:
Match the experimental system to your research question
Consider the dual nature of visfatin in inflammation – both pro-inflammatory and anti-inflammatory effects have been documented depending on context
Account for time-dependent effects, as visfatin's impact changes significantly across different timepoints (6h, 12h, 18h, 24h)
Comprehensive controls:
Include appropriate positive controls (cell lines known to express visfatin)
Implement negative controls (primary antibody omission, isotype controls)
Use treatment controls (e.g., LPS stimulation) when studying inflammatory responses
Consider pathway inhibitor controls when investigating signaling mechanisms
Multi-methodological validation:
Verify findings using complementary techniques (Western blot, immunocytochemistry, ELISA)
Validate antibody specificity in your specific experimental system
Combine protein-level detection with mRNA analysis
Implement functional assays to connect expression changes to biological outcomes
Pathway-specific investigations:
Translational considerations:
Connect in vitro findings to relevant in vivo models where possible
Consider species differences when interpreting results across experimental systems
Evaluate potential clinical relevance of findings
By carefully addressing these considerations, researchers can design more rigorous visfatin antibody-based experiments that yield reliable, reproducible, and physiologically relevant results.
Despite significant progress in understanding visfatin biology, several fundamental questions remain that could be addressed using antibody-based approaches:
Cell type-specific functions:
How does visfatin signaling differ between cell types?
What is the relative contribution of autocrine versus paracrine visfatin signaling?
Are there tissue-specific visfatin interactomes that could be identified using antibody-based pull-down approaches?
Receptor-mediated signaling:
Is the insulin receptor truly a direct receptor for visfatin, or are other mediators involved?
How do visfatin-receptor interactions differ between inflammatory and metabolic contexts?
Could proximity labeling with visfatin antibodies help identify novel binding partners?
Post-translational regulation:
How is visfatin function modified by post-translational modifications?
Do different cellular compartments contain distinctly modified visfatin pools?
Could phospho-specific visfatin antibodies reveal activation-dependent signaling events?
Pathological mechanisms:
What is the precise role of visfatin in insulin resistance development?
How does visfatin contribute to the progression from simple steatosis to non-alcoholic steatohepatitis?
Is there a causal relationship between visfatin dysregulation and metabolic disease?
Therapeutic targeting:
Could neutralizing visfatin antibodies serve as therapeutic tools?
Are there specific visfatin domains that could be selectively targeted?
How would pathway-specific inhibition of visfatin signaling affect metabolic versus inflammatory outcomes?
Antibody-based approaches, particularly when combined with advanced technologies like proximity labeling, single-cell analysis, and in vivo imaging, are uniquely positioned to address these questions and advance our understanding of visfatin biology in health and disease.
Visfatin, also known as pre-B cell colony-enhancing factor (PBEF) or nicotinamide phosphoribosyltransferase (NAMPT), is a multifunctional adipocytokine. It was initially identified as a protein secreted by visceral fat tissue and has since been found to play significant roles in various physiological and pathological processes, including inflammation, metabolism, and immune response .
Visfatin is involved in several critical biological functions:
Mouse anti-human visfatin antibodies are monoclonal antibodies specifically designed to detect human visfatin in various experimental applications. These antibodies are produced by immunizing mice with human visfatin protein and then isolating the specific antibodies from the mouse’s immune system .
Mouse anti-human visfatin antibodies are widely used in research for:
These antibodies are highly specific to human visfatin and do not cross-react with other proteins. They are also reactive with mouse and rat visfatin, making them versatile tools for studying visfatin in different species .