FSH1 Antibody

Shipped with Ice Packs
In Stock

Description

Definition and Target

FSH1 Antibody refers to monoclonal antibodies designed to bind FSH, particularly its β-subunit (FSHβ), blocking interaction with the FSH receptor (FSHR). Key examples include Hu6, Hu26, and Hu28, fully humanized antibodies developed to inhibit FSH signaling .

Mechanism of Action

  • Epitope Specificity: These antibodies bind two of five receptor-interacting residues on FSHβ, preventing FSHR activation .

  • Affinity: Hu6 exhibits a dissociation constant (K<sub>D</sub>) of 7 nM for human FSH, outperforming Hu26 (K<sub>D</sub> = 10.5 nM) and Hu28 (K<sub>D</sub> = 12.8 nM) .

  • Functional Blockade: In HEK293 cells overexpressing FSHR, Hu6 reversed FSH binding, confirming receptor antagonism .

Preclinical Efficacy

ParameterEffect of FSH1 AntibodyModel
Bone MassIncreased trabecular bone volume by 35–40%Ovariectomized mice
Body FatReduced visceral and subcutaneous fatHigh-fat diet mice
Serum CholesterolLowered total cholesterol by 25%Murine models
Energy ExpenditureEnhanced thermogenesis via adipose "beiging"In vivo studies

Therapeutic Potential

  • Multidisease Targeting: By inhibiting FSH, these antibodies address three comorbidities: osteoporosis, obesity, and hypercholesterolemia .

  • Clinical Relevance: Elevated FSH levels correlate with postmenopausal bone loss and fat accumulation, making premenopausal women a key target population .

Comparative Antibody Profiles

CloneTarget SubunitK<sub>D</sub> (nM)Application
Hu6FSHβ7.0Preclinical therapy
FSH-1*FSHαN/AELISA diagnostics
BSB-55FSHN/APituitary tumor IHC

Note: Clone FSH-1 (ARG10181) targets the FSHα subunit and is used for diagnostic assays .

Future Directions

  • Clinical Trials: Hu6 is slated for Phase I trials to assess safety and efficacy in humans .

  • Broader Implications: Research suggests FSH blockade may also mitigate neurodegenerative diseases linked to metabolic dysfunction .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
FSH1 antibody; YHR049WFamily of serine hydrolases 1 antibody; EC 3.1.-.- antibody
Target Names
FSH1
Uniprot No.

Target Background

Function
Serine hydrolase of unknown specificity.
Database Links

KEGG: sce:YHR049W

STRING: 4932.YHR049W

Protein Families
AB hydrolase 3 family
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is the FSH blocking antibody and how does it function in experimental systems?

The FSH blocking antibody represents a first-in-class humanized monoclonal antibody designed to target and neutralize follicle-stimulating hormone (FSH). Specifically, antibodies like Hu6 bind to the FSHβ subunit with high affinity (KD of approximately 7 nM), targeting the receptor-binding epitope LVYKDPARPKIQK . Through molecular dynamics and fine mapping techniques, researchers have confirmed that these antibodies bind to two of five receptor-interacting residues on the FSHβ subunit, which is sufficient to prevent FSH from interacting with its receptor .

In experimental systems, FSH blocking antibodies function by preventing FSH from binding to its receptor (FSHR), as demonstrated in cell-based assays using FSHR-overexpressing HEK293 cells. When these cells are treated with fluorescently labeled FSH (Alexa 647-labeled human FSH), the addition of Hu6, Hu26, or Hu28 antibodies blocks this interaction, reversing the fluorescence intensity shift typically seen with FSH binding .

What are the pharmacokinetic properties of humanized FSH blocking antibodies?

The pharmacokinetic profile of humanized FSH blocking antibodies varies between animal models. For Hu6 specifically:

  • Half-life in mice: 34-41 hours

  • Half-life in humanized mice: 7.5 days

  • Blood-brain barrier penetration: Minimal

These parameters are essential considerations when designing in vivo experiments. The relatively long half-life in humanized mice suggests that less frequent dosing may be sufficient to maintain therapeutic levels in models more closely resembling human physiology. The limited blood-brain barrier penetration indicates that direct CNS effects may be minimal unless specifically engineered for brain delivery .

How can researchers verify the specificity of FSH blocking antibodies in their experimental designs?

Verifying specificity is crucial for experimental validity. Several methodological approaches are recommended:

  • Cross-reactivity testing: Examine binding to related hormones such as LH and TSH. The humanized antibodies (Hu6, Hu26, and Hu28) have demonstrated concentration-dependent binding to FSH without binding to LH or TSH when tested via ELISA, confirming their specificity .

  • Glycoform specificity assessment: Test binding to different FSH glycoforms (FSH 21/18 and FSH 24) as they may have different binding profiles. For instance, Hu26 and Hu28 bind more avidly to FSH 21/18 compared to FSH 24, while Hu6 binds similarly to both glycoforms .

  • Functional assays: Utilize cell-based functional assays, such as measuring osteoclast formation in bone marrow hematopoietic cells cultured with RANKL and MCSF. FSH blocking antibodies demonstrate dose-dependent inhibition of FSH-induced osteoclastogenesis with subnanomolar IC50s .

  • In vivo hormone measurement: Monitor serum levels of FSH, LH, activin A, and inhibin following antibody administration to confirm that the antibody specifically blocks FSH action without affecting other reproductive hormones .

How do different glycoforms of FSH interact with FSH blocking antibodies, and what implications does this have for experimental outcomes?

FSH exists in multiple glycoforms that differ in their N-glycosylation patterns, primarily FSH 21/18 (with N-glycosylation at either Asn7 or Asn24 of FSHβ) and FSH 24 (with N-glycans at both residues). Research has revealed differential binding patterns of humanized antibodies to these glycoforms:

AntibodyBinding to FSH 21/18Binding to FSH 24Binding to Total FSH
Hu6HighHighHigh
Hu26HigherLowerHigh
Hu28HigherLowerHigh

This glycoform specificity has important experimental implications since FSH 24 levels increase with biological aging and may be the major regulator of extragonadal actions of FSH on bone and fat . In differentiating 3T3.L1 adipocytes, FSH 24 (but not FSH 21/18) inhibits the cAMP response to β3 adrenergic agonist CL316,243 . Therefore, when designing experiments, researchers should consider which glycoform predominates in their experimental system and select the appropriate antibody accordingly.

For studies focusing on age-related conditions, Hu6 may be preferable due to its more balanced binding profile across glycoforms, while studies specifically targeting FSH 21/18-mediated effects might benefit from using Hu26 or Hu28 .

What methodological considerations should researchers address when evaluating the efficacy of FSH blocking antibodies in bone metabolism studies?

Evaluating FSH blocking antibodies in bone metabolism studies requires careful methodological consideration:

  • Model selection: Ovariectomized female mice represent a well-established model that replicates postmenopausal bone loss. Age-matched intact controls should be included to establish baseline comparisons .

  • Dosage optimization: Dose-finding studies should precede efficacy assessments. Published protocols have used daily injections of 100 μg/day for 4 weeks followed by 50 μg/day for 4 additional weeks .

  • Bone parameter measurement:

    • Total body and site-specific BMD via DEXA

    • Micro-CT for trabecular and cortical bone microarchitecture

    • Biomechanical testing for bone strength

    • Histomorphometry for dynamic bone formation rates

  • Biomarker assessment: Monitor serum markers of bone turnover (CTX for resorption, P1NP for formation) to determine mechanism of action .

  • Cell-based validation: Conduct parallel in vitro studies using osteoclast formation assays with bone marrow hematopoietic cells treated with RANKL and MCSF. The IC50 values for inhibition of osteoclastogenesis should be calculated for each antibody batch to ensure consistency between experiments .

  • Hormonal profiling: Measure serum FSH, LH, activin A, and inhibin levels to confirm that any observed bone effects are not due to alterations in other hormones that might indirectly affect bone metabolism .

What are the challenges in translating FSH blocking antibody research from mouse models to potential human applications?

Several key challenges exist in translational research of FSH blocking antibodies:

  • Species-specific differences: While the humanized antibodies cross-react with mouse FSH due to the conserved epitope (with just two amino acid differences: NT→KI), other aspects of FSH biology may differ between species. Researchers should validate antibody binding kinetics with both human and mouse FSH using surface plasmon resonance (SPR) to establish comparable efficacy across species .

  • Temporal considerations: Determining the optimal therapeutic window is critical. Evidence suggests FSH blocking antibodies may be most beneficial during periods when FSH levels begin to rise, such as during menopausal transition, but this timing may vary between humans and mouse models .

  • Sex differences: Current research has primarily focused on female models (particularly ovariectomized mice), but potential therapeutic applications may extend to males. Comparative studies examining sex-specific responses are needed to address this knowledge gap .

  • Pharmacodynamic variations: The half-life of Hu6 in humanized mice (7.5 days) suggests a significantly longer half-life may be expected in humans compared to standard mouse models (34-41 hours). Dosing protocols successful in mice may therefore require substantial adjustment for human trials .

  • Safety considerations: Although mouse studies show no significant changes in reproductive hormones following antibody administration, longer-term studies are needed to assess potential effects on the hypothalamic-pituitary-gonadal axis in humans, particularly regarding potential impacts on fertility in pre-menopausal subjects .

How should researchers design dose-response studies for FSH blocking antibodies in different experimental systems?

Proper dose-response study design is critical for characterizing FSH blocking antibody effects:

  • In vitro dose-response protocols:

    • Utilize multiple cell lines expressing FSHR (HEK293-FSHR or primary cells like granulosa cells)

    • Test concentration ranges from 0.1 nM to 100 nM based on the KD values (approximately 7-13 nM)

    • Include positive controls (polyclonal anti-FSH) and negative controls (human IgG)

    • Measure both binding inhibition and functional outcomes

    • Establish IC50 values for each functional endpoint

  • In vivo dose-optimization:

    • Begin with dose-finding studies using 25-200 μg per mouse

    • Consider both single injection and multiple injection protocols (e.g., injections 48 hours apart)

    • Measure serum antibody concentrations to establish pharmacokinetic parameters

    • Correlate dosing with target engagement (FSH neutralization) and physiological outcomes

    • Monitor for potential compensatory hormonal changes

  • Comparative dosing across antibody variants:

    • When comparing efficacy between antibody variants (Hu6, Hu26, Hu28), normalize dosing based on molecular weight and binding affinity

    • Account for differences in half-life between antibody variants

    • Consider epitope-specific differences in dosing requirements

What are the optimal methods for monitoring FSH blocking antibody effects on multiple tissue systems simultaneously?

To comprehensively evaluate FSH blocking antibody effects across multiple tissues:

  • Integrated multi-tissue assessment protocol:

    • Bone: μCT analysis for bone microarchitecture combined with biomechanical testing

    • Adipose tissue: Measure fat mass distribution using DEXA and MRI, complemented with histological assessment of adipose tissue browning/beiging

    • Metabolism: Indirect calorimetry for energy expenditure measurement

    • Cardiovascular: Lipid profile analysis (total cholesterol, LDL, HDL)

    • Neurological (if applicable): Cognitive testing and biomarker assessment

  • Biomarker panel development:

    • Develop tissue-specific biomarker panels that can be measured from single serum samples

    • Include markers of bone turnover, adipokines, inflammatory markers, and metabolic indicators

    • Consider multiplexed assay platforms to maximize data extraction from minimal sample volumes

  • Temporal considerations:

    • Implement time-course studies to determine tissue-specific response kinetics

    • Some effects (e.g., changes in energy expenditure) may occur rapidly, while others (bone remodeling) may require weeks to manifest

    • Design sampling protocols that account for these different temporal dynamics

How can researchers effectively address data variability and contradictory findings in FSH blocking antibody studies?

Addressing variability and contradictory findings requires robust experimental design and data analysis approaches:

  • Sources of variability to consider:

    • Animal model genetic background (different mouse strains may respond differently)

    • Age and hormonal status of experimental subjects

    • Antibody batch variability in binding affinity or specificity

    • Environmental factors affecting metabolic outcomes (temperature, housing conditions)

    • Circadian variations in hormone levels and metabolism

  • Statistical approaches:

    • Conduct power analyses to ensure adequate sample sizes for detecting expected effect sizes

    • Use mixed-effects models to account for both fixed effects (treatment) and random effects (individual variation)

    • Implement repeated measures designs where possible to reduce inter-individual variability

    • Consider Bayesian analytical approaches for integrating prior knowledge with new experimental data

  • Reconciling contradictory findings:

    • Directly compare methodological differences between studies (antibody characteristics, dosing, timing)

    • Assess differences in outcome measurements and analytical techniques

    • Consider the influence of experimental context (e.g., baseline FSH levels, presence of other hormones)

    • Conduct replication studies with standardized protocols across laboratories

What are the considerations for using FSH blocking antibodies in neurodegeneration research models?

FSH blocking antibodies show promising potential in neurodegeneration research, particularly for Alzheimer's disease models:

  • Mechanism of neuroprotection:

    • FSH appears to activate C/EBPβ via phosphorylation of AKT, ERK1/2, and SRPK2

    • Activated C/EBPβ upregulates arginine endopeptidase (AEP), a δ-secretase that cleaves amyloid precursor protein to generate Aβ and tau aggregates

    • FSH blocking antibodies may protect against neurodegeneration by preventing this signaling cascade

  • Experimental design considerations:

    • BBB penetration: Since Hu6 has minimal blood-brain barrier penetration, researchers should consider this limitation when designing CNS-focused studies

    • Mouse models: Studies have utilized APP/PS1 mice (males) and 3xTg mice (females) treated with anti-FSHβ antibodies (120-150 μg i.p., 5 days/week for 4 months)

    • Alternative approaches: FSH siRNA has shown similar neuroprotective effects in ovariectomized 3xTg female mice and should be considered as a complementary approach

  • Assessment methods:

    • Cognitive function: Morris water maze for memory performance

    • Pathology: Measurement of Aβ levels, tau aggregation, and neuronal loss

    • Molecular mechanisms: Analysis of C/EBPβ activation and AEP levels

    • Comparative analysis: Consider parallel assessment of recombinant FSH administration versus FSH blockade

  • Timing considerations:

    • Evidence suggests intervention may be most effective during periods when FSH levels begin to rise (e.g., menopausal transition)

    • Preclinical intervention before symptom onset may yield optimal results

How should researchers approach the evaluation of FSH blocking antibodies in metabolic syndrome and cardiovascular disease models?

FSH blocking antibodies may have applications in metabolic syndrome and cardiovascular disease research:

  • Model selection:

    • Diet-induced obesity models to evaluate effects on body composition and metabolic parameters

    • Age-related models (considering FSH increases with age)

    • Surgical models (ovariectomy) to simulate post-menopausal metabolic changes

    • Genetic models of hyperlipidemia or atherosclerosis

  • Comprehensive metabolic assessment:

    • Body composition analysis via DEXA, MRI, or CT

    • Glucose tolerance and insulin sensitivity testing

    • Lipid profile assessment (total cholesterol, LDL, HDL, triglycerides)

    • Energy expenditure measurement via indirect calorimetry

    • Tissue-specific insulin signaling evaluation

  • Cardiovascular endpoints:

    • Atherosclerotic plaque development and composition

    • Vascular function and reactivity

    • Cardiac structure and function via echocardiography

    • Inflammatory markers associated with cardiovascular risk

  • Molecular mechanisms exploration:

    • FSH receptor expression in adipose tissue, liver, and vascular tissue

    • Signaling pathway analysis in metabolic tissues

    • Gene expression profiling to identify regulated pathways

    • Metabolomic analysis to assess global metabolic changes

What analytical techniques are most appropriate for evaluating the binding kinetics and epitope specificity of new FSH blocking antibody variants?

Advanced analytical techniques for characterizing FSH blocking antibodies include:

  • Surface plasmon resonance (SPR/Biacore):

    • Gold standard for determining binding kinetics (kon, koff) and affinity (KD)

    • Can measure interactions with both recombinant human and mouse FSH

    • Allows real-time analysis of binding interactions

    • Enables rank-ordering of antibody variants by dissociation constants (KDs)

  • Epitope mapping approaches:

    • Molecular dynamics simulations to model antibody-FSH interactions at atomistic detail

    • HADDOCK (High Ambiguity Driven protein-protein DOCKing) for studying antibody-FSHβ interfaces

    • rmsd-based clustering to identify binding configurations

    • Electrostatic energy calculations using APBS (Adaptive Poisson-Boltzmann Solver)

  • Cellular binding assays:

    • Flow cytometry with fluorescently labeled FSH (Alexa 647-labeled human FSH)

    • Competition binding assays to determine IC50 values

    • FSHR-overexpressing cell lines (e.g., HEK293-FSHR) to evaluate receptor binding inhibition

    • Functional readouts such as cAMP production or signaling pathway activation

  • Glycoform-specific analyses:

    • ELISA-based binding assays comparing FSH 21/18 versus FSH 24

    • Concentration-response curves to determine relative binding affinities

    • Functional assays to determine glycoform-specific biological effects, such as cAMP response inhibition in 3T3.L1 adipocytes

What are the emerging applications for FSH blocking antibodies beyond the established research areas of bone, fat, and neurodegeneration?

Based on current understanding of FSH biology and initial research findings, several promising new research directions include:

  • Immunometabolism:

    • Investigation of FSH effects on immune cell function and inflammatory pathways

    • Potential applications in chronic inflammatory conditions where metabolic dysfunction is present

    • Exploration of FSH blockade as a means to modulate inflammaging (age-associated inflammation)

  • Liver metabolism and fibrosis:

    • FSH has been reported to affect cholesterol metabolism, suggesting broader hepatic effects

    • Potential investigation of FSH blocking antibodies in models of non-alcoholic fatty liver disease

    • Assessment of liver fibrosis progression in chronic liver disease models

  • Muscle mass and function:

    • Exploring the potential effects of FSH blockade on age-related sarcopenia

    • Investigating FSH influences on muscle metabolism and protein synthesis

    • Examining potential cross-talk between bone, fat, and muscle in response to FSH blockade

  • Cancer biology:

    • Investigating potential roles of FSH in hormone-responsive cancers beyond reproductive tissues

    • Exploring metabolic effects of FSH blockade in cancer models where metabolic reprogramming is critical

    • Examining FSH influence on the tumor microenvironment

How can researchers design experiments to elucidate the mechanisms of tissue-specific responses to FSH blocking antibodies?

To elucidate tissue-specific mechanisms:

  • Tissue-specific receptor expression analysis:

    • Comprehensive mapping of FSHR expression across tissues using techniques such as RNAscope, immunohistochemistry, and qRT-PCR

    • Single-cell RNA sequencing to identify specific cell populations responsive to FSH within heterogeneous tissues

    • Investigation of potential alternative receptors or binding partners for FSH in non-reproductive tissues

  • Conditional knockout approaches:

    • Development of tissue-specific FSHR knockout models to compare with antibody blockade

    • Cell-type specific deletion of FSHR to pinpoint the precise cellular targets mediating FSH effects

    • Temporal control of FSHR deletion to determine critical periods for FSH action

  • Signaling pathway analysis:

    • Phosphoproteomic analysis to identify tissue-specific signaling pathways activated by FSH

    • Comparison of acute versus chronic FSH blockade on signaling cascades

    • Pathway inhibitor studies to establish causality between specific signaling events and physiological outcomes

  • Transcriptomic and epigenetic analysis:

    • RNA-seq of target tissues following FSH blockade to identify regulated gene networks

    • Chromatin immunoprecipitation sequencing (ChIP-seq) to examine FSH-mediated epigenetic modifications

    • Integration of multi-omics data to construct comprehensive models of FSH action in different tissues

What technical advances are needed to develop next-generation FSH blocking antibodies with enhanced tissue specificity or pharmacokinetic properties?

Advancing FSH blocking antibody technology requires several technical innovations:

  • Tissue-targeted delivery approaches:

    • Development of bispecific antibodies targeting both FSH and tissue-specific antigens

    • Antibody-drug conjugate technology adapted for targeted FSH blockade

    • Nanoparticle or liposomal delivery systems to enhance tissue-specific distribution

  • Pharmacokinetic optimization:

    • Fc engineering to extend half-life beyond the current 7.5 days in humanized mice

    • Subcutaneous formulation development for improved patient convenience

    • Exploration of alternative antibody formats (scFv, Fab, etc.) for specialized applications

    • Development of controlled-release formulations for consistent drug exposure

  • CNS penetration enhancement:

    • Blood-brain barrier shuttle technologies to increase CNS exposure for neurodegenerative applications

    • Intranasal delivery approaches for direct CNS access

    • Engineering smaller antibody fragments with enhanced BBB penetration

  • Glycoform-selective antibodies:

    • Development of antibodies with enhanced selectivity for specific FSH glycoforms (FSH 21/18 vs. FSH 24)

    • Correlation of glycoform-selective blockade with tissue-specific outcomes

    • Investigation of age-related changes in glycoform distribution and implications for therapeutic targeting

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.