CFB-a Human produced in Human Plasma having a molecular mass of 33 kDa.
Complement factor B (EC:3.4.21.47), C3/C5 convertase, Glycine-rich beta glycoprotein, GBG, PBF2, Properdin factor B, Complement factor B Ba fragment, Complement factor B Bb fragment, CFB, Complement Factor B, BFD, AHUS4, BF, BFD, CFAB, FB, FBI12, H2-Bf.
Human Plasma.
Complement Factor B (CFB) is a crucial component of the alternative pathway of the complement system, functioning to bind C3 to form C3B, which opsonizes pathogens and contributes to membrane attack complex formation . Beyond its established immune functions, CFB has emerged as a significant factor in cardiometabolic health. Research shows elevated circulating CFB in patients with type 2 diabetes mellitus, with adipose tissue CFB expression correlating with fasting glucose and circulating lipids . The protein appears to be a determinant of both metabolic and cardiovascular conditions, playing a role in insulin resistance, glucose intolerance, dyslipidemia, and hypertension .
CFB contributes to metabolic syndrome through multiple pathways related to inflammation and innate immune system activation. Studies have established that chronic low-grade inflammation and innate immune system overactivation are recognized causes of type 2 diabetes mellitus and metabolic syndrome . The alternative pathway, which requires CFB activation, has received particular attention for its potential causal role in cardiometabolic disease . Gene deletion studies in spontaneously hypertensive rats (SHR) have demonstrated that CFB deficiency improves glucose tolerance, insulin sensitivity, and adipose tissue distribution while reducing blood pressure and left ventricular mass . These findings suggest that CFB is necessary for the full expression of cardiometabolic pathophysiological traits.
Analysis of genome-wide association studies (GWAS) has identified 18 single-nucleotide polymorphisms (SNPs) associated with cardiometabolic traits within 1 Mb of the CFB gene . Specifically:
Six SNPs are associated with type 2 diabetes mellitus, metabolic syndrome, or visceral fat
Six SNPs are related to circulating lipids
The remaining SNPs are associated with coronary heart disease and hypertension
Furthermore, these genetic variants colocalize with cis-expression quantitative trait loci (cis-eQTLs) associated with CFB expression, providing additional evidence for CFB's role in cardiometabolic traits in humans .
When designing human subject research involving CFB, researchers must adhere to institutional research board (IRB) guidelines. According to standard research protocols, any systematic investigation using humans as subjects must be authorized before proceeding . Researchers should:
Submit a comprehensive Human Subject Research Request Form to the appropriate IRB at least 30 days prior to conducting research
Clearly define whether the research involves intervention or interaction with individuals to obtain identifiable data
Consider whether the study falls under exempt categories for human research
For student researchers, secure an employee sponsor before initiating any human research
The research design should specify how CFB will be measured (serum levels, genetic analysis, or tissue expression) and clearly articulate how data collection will contribute to generalizable knowledge about CFB's role in human metabolism.
CFB affects multiple organ systems, requiring integrated experimental approaches. Based on animal model research, effective experimental designs should incorporate:
Multi-tissue sampling protocols - Including adipose tissue (both visceral and subcutaneous), cardiac tissue, and blood samples to capture cross-tissue effects
Comprehensive cardiometabolic phenotyping - Including:
Inflammatory marker assessment - Measuring cytokines such as IL-6, IL-10, TNFα, and IFN-γ, which have shown significant changes with CFB deletion in animal models
This comprehensive approach helps capture the full spectrum of CFB's metabolic and cardiovascular effects that operate through both shared and independent mechanisms.
Translating CFB research from animal models to humans requires careful consideration of several factors:
Comparative genetic analysis - The human CFB locus is located in a gene-rich region within the major histocompatibility complex, necessitating careful genetic analysis when extrapolating from animal models
Model validation - The spontaneously hypertensive rat (SHR) exhibits hypertension, insulin resistance, and dyslipidemia, making it an appropriate model for studying MetS components, but human validation is essential
Pathway conservation assessment - Researchers should verify that the alternative pathway mechanisms involving CFB are conserved between species
Human tissue expression patterns - Determine whether CFB expression patterns in adipose tissue, cardiac tissue, and other relevant tissues are similar between humans and animal models
Data from both animal models and human genetic studies suggest CFB may be a valid therapeutic target to treat or prevent progression of human metabolic syndrome , but translation requires systematic verification of mechanisms across species.
For accurate CFB measurement in human subjects, researchers should consider:
Serum/Plasma Quantification:
ELISA (Enzyme-Linked Immunosorbent Assay) - Most commonly used for CFB protein quantification
Multiplex assays - When measuring CFB alongside other complement components
Mass spectrometry - For more precise quantification and identification of CFB variants
Tissue Expression Analysis:
RT-qPCR - For measuring CFB mRNA expression in adipose or other tissues
Immunohistochemistry - For determining cellular localization of CFB in tissue samples
RNA sequencing - For comprehensive transcriptomic analysis that places CFB in broader gene expression networks
Genetic Variation Assessment:
When collecting samples, standardization of collection protocols, consideration of diurnal variation, and proper sample storage are critical for reliable CFB measurement.
Analysis of CFB's relationship with inflammatory markers should incorporate:
Cytokine correlation analysis - Research has shown significant decreases in serum concentrations of IL-10 and IFN-γ in CFB-deficient rats compared to controls, with IL-6 and TNFα becoming undetectable after CFB deletion
Pathway interaction modeling - Statistical approaches should:
Employ multivariate analysis to account for confounding factors
Consider mediation analysis to determine whether inflammatory markers mediate CFB's effects on metabolic outcomes
Use longitudinal data collection to establish temporal relationships
Cell-specific inflammation assessment - Since inflammation varies by tissue type, researchers should consider:
Adipose tissue macrophage infiltration and polarization
Systemic vs. tissue-specific inflammatory marker expression
Correlation between tissue-specific CFB expression and local inflammatory markers
This analytical approach helps distinguish between CFB's direct effects and those mediated through inflammatory pathways.
To evaluate CFB as a therapeutic target, researchers should consider these experimental approaches:
CFB Inhibition Studies:
Small molecule inhibitors of CFB
Monoclonal antibodies targeting CFB
RNA interference approaches (siRNA, CRISPR-Cas9)
Intervention Study Design Elements:
Randomized controlled trials with appropriate controls
Dose-finding studies to establish optimal inhibition levels
Stratification of participants based on baseline CFB levels or relevant genetic variants
Comprehensive endpoint assessment including:
Glucose metabolism parameters
Lipid profiles
Blood pressure measurements
Cardiac function (echocardiography)
Adipose tissue distribution (imaging studies)
Inflammatory biomarkers
Safety Monitoring Considerations:
Immune function assessment, given CFB's role in pathogen clearance
Monitoring for potential compensatory mechanisms
Long-term follow-up for unexpected effects
Given the findings that CFB deletion in animal models improves metabolic parameters and cardiovascular function, carefully designed human studies are needed to determine if CFB inhibition could provide similar benefits in humans with metabolic syndrome .
To study the relationship between CFB genetic variants and metabolic outcomes, researchers should:
Apply advanced genetic epidemiology methods:
Mendelian randomization to establish causality between CFB variants and metabolic traits
Fine-mapping of the CFB locus to identify the most likely causal variants
Polygenic risk score development incorporating CFB variants
Integration of GWAS and eQTL data to identify functional variants
Consider ethnicity-specific genetic architecture:
Analyze CFB variants across diverse populations
Conduct trans-ethnic meta-analyses
Account for population-specific linkage disequilibrium patterns
Implement functional validation:
Use CRISPR-based approaches to validate variant effects
Develop cell and animal models with human CFB variants
Assess variant effects on CFB expression and function
Studies have identified significant associations between CFB locus variants and multiple cardiometabolic traits, including visceral fat, circulating triglycerides, and hypertension , providing strong rationale for detailed genetic studies of CFB in metabolic disease.
Research indicates important interactions between CFB and the renin-angiotensin-aldosterone system:
Observed associations:
Investigative approaches should include:
Simultaneous measurement of CFB levels and renin-angiotensin-aldosterone components
Assessment of how CFB inhibition affects this system
Evaluation of potential feedback mechanisms between these pathways
Analysis of tissue-specific effects in kidney, liver, and vasculature
Potential mechanisms:
Direct regulation of renin-angiotensin genes by CFB-related signaling
Indirect effects through inflammatory pathway modulation
Shared regulatory mechanisms affecting both systems
Understanding these interactions may reveal new therapeutic approaches targeting both systems simultaneously for metabolic syndrome treatment.
To comprehensively study CFB's effects in human adipose tissue, researchers should employ:
Advanced tissue sampling techniques:
Paired visceral and subcutaneous adipose biopsies
Micro-sampling methods for longitudinal studies
Single-cell isolation protocols for adipocyte-specific analyses
Functional adipose assessments:
Adipocyte mitochondrial respiration measurement (e.g., Seahorse XF analyzers)
Lipolysis and lipogenesis assays
Adipokine secretion profiling
Insulin signaling pathway analysis
Integrative tissue analysis:
Spatial transcriptomics to map CFB expression within adipose tissue regions
Proteomics to identify CFB-associated protein networks
Metabolomics to assess metabolic consequences of altered CFB expression
These approaches would help elucidate the mechanisms behind the observed redistribution of visceral to subcutaneous fat and increased adipocyte mitochondrial respiration in CFB-deficient animal models , which could be important therapeutic targets for human metabolic disease.