TGFB3 Antibody

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Product Specs

Buffer
PBS with 0.1% Sodium Azide, 50% Glycerol, pH 7.3. Store at -20°C. Avoid freeze/thaw cycles.
Lead Time
Generally, we can ship the products within 1-3 business days after receiving your orders. Delivery time may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery time details.
Synonyms
ARVD antibody; ARVD1 antibody; FLJ16571 antibody; LDS5 antibody; MGC105479 antibody; MGC118722 antibody; prepro-transforming growth factor beta-3 antibody; RNHF antibody; TGF beta 3 antibody; TGF beta3 antibody; TGF-beta-3 antibody; TGFB 3 antibody; Tgfb3 antibody; TGFB3_HUMAN antibody; transforming growth factor beta 3 antibody; Transforming growth factor beta-3 antibody
Target Names
Uniprot No.

Target Background

Function
Transforming growth factor beta-3 proprotein is the precursor of the Latency-associated peptide (LAP) and Transforming growth factor beta-3 (TGF-beta-3) chains. These chains constitute the regulatory and active subunits of TGF-beta-3, respectively. The proprotein plays a crucial role in maintaining the TGF-beta-3 chain in a latent state during storage within the extracellular matrix. It associates non-covalently with TGF-beta-3 and regulates its activation through interaction with 'milieu molecules', such as LTBP1 and LRRC32/GARP, which control the activation of TGF-beta-3. Interaction with integrins leads to distortion of the Latency-associated peptide chain, resulting in the subsequent release of the active TGF-beta-3. Transforming growth factor beta-3 is a multifunctional protein that regulates embryogenesis and cell differentiation, playing essential roles in various processes such as secondary palate development. Its activation into the mature form follows distinct steps: Following cleavage of the proprotein in the Golgi apparatus, the Latency-associated peptide (LAP) and Transforming growth factor beta-3 (TGF-beta-3) chains remain non-covalently linked, rendering TGF-beta-3 inactive during storage in the extracellular matrix. Concurrently, the LAP chain interacts with 'milieu molecules', such as LTBP1 and LRRC32/GARP, which control the activation of TGF-beta-3 and maintain it in a latent state during storage in extracellular milieus. TGF-beta-3 is released from LAP by integrins: integrin-binding results in distortion of the LAP chain and the subsequent release of the active TGF-beta-3. Once activated following the release of LAP, TGF-beta-3 exerts its effects by binding to TGF-beta receptors (TGFBR1 and TGFBR2), which transduce the signal.
Gene References Into Functions
  1. Elevated levels of TGF-beta3, SMAD2, and SMAD4 in hypertrophic scars and increased IGF-1R in immature stages may provide insights into the formation of acne hypertrophic scars. PMID: 30167815
  2. This review highlights advancements in understanding the cellular sources, activation processes, contextual determinants, and immunological roles of TGF-beta3, with comparisons to other TGF-beta isoforms. PMID: 30071700
  3. This study demonstrates that YOD1 overexpression enhances cell migration by promoting TGF-beta3 signaling, suggesting a significant role in lip and palate formation. PMID: 30145984
  4. The data suggests that elevated TGFbeta3 levels contribute to the development of aggressive prostate cancer in African American patients due to the development of resistance to the inhibitory effects of TGFbeta on cell proliferation and the induction of invasive metastatic behavior. PMID: 29474521
  5. Data indicates that miR-140 is a potent chondrogenic differentiation inducer for iPSCs, and we have shown enhanced chondrogenic differentiation through overexpression of miR-140 and TGFbeta3. PMID: 29456027
  6. The increase in TGF-beta3 observed in inflammatory wound healing (WF) highlights its negative impact on wound healing, while the increased levels of sEng in granulating WF affect leukocyte adhesion/transmigration through the endothelium, reducing the inflammatory response and promoting wound healing. PMID: 29065449
  7. In nonsyndromic CL+/-P Malay patients, the prevalence of mutations in the TGFbeta3 gene was 17.7%. No mutations were found in the coding region of the TGFbeta3 gene in either group. PMID: 26151095
  8. Human dental apical papilla-derived Mesenchymal stem cells (hSCAPs) can produce and secrete TGFbeta3 in response to micro-environmental cues. PMID: 25690385
  9. Elevated TGF-beta3 serum concentrations are a risk factor for uterine fibroids. PMID: 27743697
  10. High expression of TGF-beta3 in preeclampsia decidua stimulates miR-494 in decidual mesenchymal stem cells (MSC) and attenuates the regulation of MSC, switching the macrophage towards M2 type, contributing to an immune imbalance at the maternal-fetal interface. PMID: 27149081
  11. The frequency of the GA genotype of the transforming growth factor beta 3 (TGFbeta3) gene was associated with an increased risk of non-syndromic cleft palate only (NS CPO). PMID: 28364787
  12. Combining TGF-beta3 with BMP-2 significantly promotes bone formation in vitro, providing a promising clinical strategy for skeletal regeneration and fracture healing. PMID: 27878265
  13. No significant association was observed between MMP13, TIMP2, and TGFB3 genes with CP or PI. While CP is a risk factor for developing PI, there is no association between these diseases and polymorphisms in the MMP13, TIMP2, and TGFB3 genes. PMID: 27058373
  14. Our study demonstrated that TGFA/TGFB3/MSX1 gene polymorphisms were associated with congenital NSHI. CCGTAC and TTACGT haplotypes may be protective factors, while the TTGCGC haplotype might be a risk factor for congenital NSHI. Haplotype analysis of TGFA/TGFB3/MSX1 gene rs3771494, rs1058213, rs3917201, rs2268626, rs3821949, and rs62636562 showed that the CCGTAC and TTACGT haplotypes might be protective factors (both P<0.001). PMID: 27356075
  15. Increased stromal POSTN induced by TGF-beta3 directly accelerates the growth, migration, and invasion of cancer cells. PMID: 26857387
  16. Collectively, these findings demonstrate that insulin and TGF-beta3 exhibit antagonistic effects during the chondrogenesis of human bone marrow-derived stem/progenitor cells. PMID: 26866713
  17. CCN4 exerts a positive influence on chondrogenic differentiation by modulating the effects of TGF-beta3. PMID: 26555637
  18. TGFB3 polymorphism is associated with male infertility. PMID: 26612435
  19. Results identified a novel human TGFB3 mutation, contributing to the clinical delineation of the emerging connective tissue disorder tentatively called Rienhoff syndrome, a disorder overlapping with Marfan and Loeys-Dietz syndrome. PMID: 26184463
  20. Fluocinolone Acetonide enhances TGF-beta3-associated chondrogenesis of bone marrow-derived mesenchymal stem cells. PMID: 25753754
  21. TGF-beta3-expressing CD4+CD25(-)LAG3+ regulatory T cells play a role in controlling humoral immune responses. PMID: 25695838
  22. TGF-beta3 mediates the attenuating effect of MSCs on both the proliferation and extracellular matrix production of human keloid fibroblasts and decreases skin fibrosis. PMID: 25858630
  23. TGF-beta3 exists in the synovium and LBs of SC, and is responsible for the pathogenesis of SC. PMID: 25742744
  24. Regarding TGFB3 polymorphism, significant differences were observed in allele and genotype frequencies between caries-free and caries-affected individuals in the oral cleft group (p = 0.013 and 0.006 for allele and genotype frequencies, respectively). PMID: 25307808
  25. TGF-beta3 may contribute to the persistent intestinal dysfunction observed in gastroschisis-related intestinal dysfunction. PMID: 25431043
  26. Data indicates greater staining for transforming growth factor beta 3 (TGF-beta3) in healthier tissue compared to diseased menisci. PMID: 25418724
  27. The results show an intricate interplay between p53 and TGF-beta3 whereby p53 inhibits the TGF-beta3-induced expression of genes, e.g., EPHB2, to impede tumor cell invasion and migration. PMID: 25257729
  28. Findings emphasize the broad clinical variability associated with TGFB3 mutations and highlight the importance of early disease recognition due to high cardiovascular risk. PMID: 25835445
  29. It was found that the majority of TGF-beta3 loaded onto the scaffold was released in a controlled manner over the first 10 days of culture, with comparable long-term chondrogenesis. PMID: 24907658
  30. We identified genetic variants in TGFB3 and ARHGAP29 associated with suboptimal healing outcome. PMID: 24635173
  31. These results unequivocally demonstrate that human TGF-beta3 elicits bone induction by up-regulation of endogenous BMP-2 and is blocked by hNoggin. PMID: 24438909
  32. TGF-beta3 could be stably expressed in pcDNA3.1(+)-hTGF-beta3-transfected PSCs. PMID: 21823016
  33. Liarozole decreased TGF-beta3 and TGF-beta3-mediated extracellular matrix expression in a 3D uterine leiomyoma culture system. PMID: 24825427
  34. Meta-analysis suggests that TGF-beta3 gene polymorphisms may contribute to NSCLP susceptibility, particularly among Asian populations. PMID: 24053560
  35. Allelic and haplotypic associations implicate a potential role of TGFB3 in nonsyndromic cleft lip with or without cleft palate in the Chilean population. PMID: 20170386
  36. This study provides a comprehensive list of genes differentially expressed in the healing corneal epithelial cells of diabetic corneas, suggesting the therapeutic potential of TGF-beta3 for treating corneal and skin wounds in diabetic patients. PMID: 24306208
  37. The GG genotype and G allele of TGF-beta 3 were significantly different in the patient group compared to the control group. PMID: 23023602
  38. Shear stress of vascular endothelial cells induces TGF-beta3 signaling and subsequent activation of Kruppel-like factor 2 and NO, representing a novel role for TGF-beta3 in maintaining homeostasis in a hemodynamic environment. PMID: 23968981
  39. Mutation in TGFB3 is associated with a syndrome of low muscle mass, growth retardation, distal arthrogryposis, and clinical features overlapping with Marfan and Loeys-Dietz syndrome. PMID: 23824657
  40. These findings suggest human serum, FGF-2, and TGF-beta3 as possible candidates for supporting biological treatment strategies for AF defects. PMID: 23122986
  41. These results highlight TGFbeta/5-HT signaling as a potent mechanism for controlling the biomechanical remodeling of atrioventricular cushions during development. PMID: 22880017
  42. Hypoxia may inhibit the invasion of human extravillous trophoblast cells by inducing the integrin switch from alpha1 integrin to alpha5 integrin and promoting TGFB3 expression. PMID: 22674391
  43. IL-1B & TGFB3 synergistically activate MMP)-1, MMP-3, & MMP-10 gene expression in NSCLC cells via MAPK-dependent pathways. PMID: 22796605
  44. Significant statistical differences were found for genotype frequencies between tooth agenesis and TGFB3 control samples, as well as for allele and genotype frequencies between unilateral tooth agenesis and TGFB3 control samples. PMID: 22191848
  45. The TGF-beta3 isoform is a key agent in seminal plasma that signals the induction of proinflammatory cytokine synthesis in cervical cells. PMID: 22706080
  46. Analysis of genetic variants hints at the contribution of TGFB3 and MN1 to the etiology of submucous cleft palate. PMID: 22409215
  47. Involved in the modulation of epithelial barrier function by regulating the assembly of tight junctions. PMID: 22369552
  48. This study confirms the crucial role of TGF-beta3 in the fusion of palatal shelves during development and provides novel evidence of TGF-beta3 gene polymorphism in the etiology of nonsyndromic cleft lip and palate in the Indian subpopulation. PMID: 22143699
  49. We observed significant downregulation of Transforming Growth Factor beta 3 in women with recurrent miscarriage compared to controls. PMID: 22266274
  50. The study suggests that both combination medium, but better with the addition of TGF-ss3, could enhance BMSCs chondrogenesis in vivo and promote the maintenance of the chondrocyte phenotype. PMID: 21666950

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Database Links

HGNC: 11769

OMIM: 107970

KEGG: hsa:7043

STRING: 9606.ENSP00000238682

UniGene: Hs.592317

Involvement In Disease
Arrhythmogenic right ventricular dysplasia, familial, 1 (ARVD1); Loeys-Dietz syndrome 5 (LDS5)
Protein Families
TGF-beta family
Subcellular Location
[Latency-associated peptide]: Secreted, extracellular space, extracellular matrix.; [Transforming growth factor beta-3]: Secreted.

Q&A

What is TGFB3 and what roles does it play in tissue fibrosis?

TGFB3 (transforming growth factor beta 3) is a protein in humans that belongs to the TGFβ cytokine family. It may also be known as ARVD, ARVD1, LDS5, RNHF, transforming growth factor beta-3 proprotein, or prepro-transforming growth factor beta-3. Structurally, the protein has a molecular weight of approximately 47.3 kilodaltons .

What are the common applications for TGFB3 antibodies in research?

TGFB3 antibodies are utilized in multiple research applications, including:

  • Western Blot (WB): For detection and quantification of TGFB3 protein in cell or tissue lysates

  • Immunohistochemistry (IHC): For visualization of TGFB3 in tissue sections, such as paraffin-embedded human heart tissue

  • Immunofluorescence (IF): For cellular localization studies

  • ELISA: For quantitative measurement of TGFB3 in biological samples

  • Immunoprecipitation (IP): For isolation and purification of TGFB3 complexes

  • Neutralization assays: To block TGFB3 activity in functional studies

  • Sandwich immunoassays: For sensitive detection of TGFB3 in complex biological samples

The specific application should guide antibody selection, as some antibodies work optimally under certain conditions. For example, some TGFB3 antibodies function only under non-reducing conditions , which is a critical consideration for experimental design.

What are the optimal storage conditions for maintaining TGFB3 antibody stability?

For optimal stability and performance of TGFB3 antibodies, researchers should adhere to the following storage guidelines:

  • Long-term storage: Keep antibodies at -20°C to -70°C for up to 12 months from the date of receipt as supplied

  • After reconstitution:

    • Store at 2-8°C under sterile conditions for up to 1 month

    • For longer storage (up to 6 months), keep at -20°C to -70°C under sterile conditions

It is crucial to use a manual defrost freezer and avoid repeated freeze-thaw cycles, as these can significantly compromise antibody activity and specificity . Aliquoting reconstituted antibodies before freezing is recommended to minimize freeze-thaw cycles when only portions are needed for experiments.

How can researchers validate the specificity of TGFB3 antibodies?

Validation of TGFB3 antibody specificity is essential for reliable research outcomes. A comprehensive validation approach includes:

  • Positive and negative controls:

    • Use tissues or cell lines known to express or lack TGFB3

    • Human heart tissue has been documented as a positive control for certain TGFB3 antibodies

  • Cross-reactivity testing:

    • Test against related TGFβ family members (TGFB1, TGFB2)

    • Check reactivity across species if performing comparative studies (human, mouse, rat, etc.)

  • Antibody neutralization/competition assays:

    • Pre-incubate antibody with recombinant TGFB3 protein

    • If specific, this should eliminate or significantly reduce signal

  • Multiple detection methods:

    • Confirm findings using different techniques (e.g., WB and IHC)

    • Use antibodies targeting different epitopes

  • Genetic validation:

    • Compare results in TGFB3 knockout/knockdown vs. wild-type samples

What are the key considerations when designing TGFB3 neutralization assays?

When designing TGFB3 neutralization assays, researchers should consider several critical factors:

  • Antibody selection:

    • Choose antibodies specifically validated for neutralization activity

    • Determine the Neutralization Dose (ND₅₀), which is typically 0.1-0.3 μg/mL in the presence of 0.1 ng/mL recombinant human TGFB3

  • Assay system optimization:

    • For cell-based assays, TGFB3 inhibition can be assessed in conjunction with other cytokines (e.g., IL-4) that have known biological effects

    • Careful titration of both TGFB3 and the neutralizing antibody is essential

  • Controls:

    • Include isotype control antibodies to account for non-specific effects

    • Include positive controls (known TGFB3 inhibitors) and negative controls (non-neutralizing TGFB3 antibodies)

  • Readout selection:

    • Choose appropriate readouts based on the known biological activities of TGFB3

    • For fibrosis studies, consider measuring collagen production, myofibroblast differentiation, or extracellular matrix gene expression

  • Timing considerations:

    • TGFB3 signaling kinetics vary by cell type and context

    • Establish appropriate time points for measuring neutralization effects

How does selective TGFB3 inhibition differ from pan-TGFβ inhibition in fibrotic disease research?

The distinction between selective TGFB3 inhibition and pan-TGFβ inhibition is increasingly important in fibrotic disease research:

AspectSelective TGFB3 InhibitionPan-TGFβ Inhibition
Target specificityOnly TGFB3 isoformAll TGFβ isoforms (TGFB1, TGFB2, TGFB3)
Safety profileBetter tolerated in clinical studiesAssociated with unacceptable toxicities in clinical studies
Mechanism rationaleTargets specific pathological pathways in fibrosisBlocks all TGFβ signaling, including beneficial homeostatic functions
Clinical developmentExample: RO7303509 showed favorable safety in Phase 1aSeveral candidates discontinued due to safety concerns
Biomarker strategyFocused on TGFB3-specific pathway indicatorsBroader TGFβ pathway markers

Evidence suggests that selective inhibition of TGFB3 signaling may target fibrotic disease pathogenesis while circumventing the adverse events associated with pan-TGFβ or TGFB1 inhibition . Clinical studies have shown that patients receiving the TGFB1-specific inhibitor metelimumab (CAT-192) showed no evidence of clinical activity and had a higher rate of adverse events compared with placebo-treated patients . In contrast, RO7303509, a high-affinity, TGFB3-specific, humanized IgG1 monoclonal antibody, was well tolerated at single subcutaneous doses up to 1200 mg in healthy volunteers with favorable pharmacokinetic data .

What biomarkers can be used to assess TGFB3 pathway activity in research and clinical studies?

Several biomarkers can be used to assess TGFB3 pathway activity:

  • Direct TGFB3 pathway markers:

    • Periostin: A TGFβ pathway-associated biomarker that can be measured in serum samples to provide evidence of TGFB3 activity

    • COMP (Cartilage Oligomeric Matrix Protein): Another TGFβ pathway-associated biomarker that correlates with TGFB3 activity

  • Disease-specific markers:

    • In systemic sclerosis, increased expression of TGFB3 is significantly associated with higher levels of biomarkers of disease severity and prognosis

    • These include TGFβ target genes in the skin and systemic COMP and periostin levels

  • Analytical methods:

    • Periostin can be tested using the COBAS Elecsys system with proprietary antibodies

    • COMP can be assessed using research-grade platforms such as the ProteinSimple Ella platform

When monitoring TGFB3 pathway inhibition, researchers should collect samples at multiple time points (e.g., baseline, and then at regular intervals after treatment) to track changes in biomarker levels. For example, in clinical studies evaluating RO7303509, samples were collected at baseline on day -1, and after dosing on days 1, 5, 8, 15, 29, and 85 .

What are the optimal protocols for using TGFB3 antibodies in tissue section immunohistochemistry?

For optimal immunohistochemical detection of TGFB3 in tissue sections, researchers should follow these methodological considerations:

  • Tissue preparation:

    • Use immersion-fixed, paraffin-embedded tissue sections

    • Heart tissue has been validated for certain TGFB3 antibodies

  • Antibody concentration and incubation:

    • Use TGFB3 monoclonal antibody at approximately 25 μg/mL

    • Incubate overnight at 4°C for optimal binding and signal development

  • Detection system:

    • For chromogenic detection, use HRP-DAB (horseradish peroxidase-diaminobenzidine) staining systems

    • Counterstain with hematoxylin for nuclear visualization

  • Controls and validation:

    • Include known positive and negative control tissues

    • Consider dual staining with cell-type specific markers to identify TGFB3-expressing cell populations

  • Optimization steps:

    • Test different antigen retrieval methods (heat-induced, enzymatic)

    • Optimize blocking solutions to reduce background

    • Test a range of antibody concentrations to determine optimal signal-to-noise ratio

A detailed protocol example based on published methods includes:

  • Deparaffinize and rehydrate sections

  • Perform antigen retrieval (specific method depends on tissue type)

  • Block endogenous peroxidase activity with H₂O₂

  • Block non-specific binding sites

  • Incubate with primary TGFB3 antibody (25 μg/mL) overnight at 4°C

  • Apply HRP-conjugated secondary antibody

  • Develop with DAB substrate

  • Counterstain with hematoxylin

  • Dehydrate, clear, and mount

How does TGFB3 expression correlate with disease severity in systemic sclerosis and other fibrotic conditions?

The relationship between TGFB3 expression and fibrotic disease severity has been a focus of recent research:

  • Systemic Sclerosis (SSc):

    • Increased expression of TGFB3, but not TGFB1 or TGFB2, is significantly associated with higher levels of biomarkers of SSc disease severity and prognosis

    • TGFB3 expression correlates with TGFβ target genes in the skin and systemic COMP and periostin levels in SSc patients

  • Tissue-specific fibrosis:

    • Elevated TGFB3 gene expression has been documented in human lung and liver fibrotic tissue

    • This suggests a potential role as a biomarker for disease progression

  • Therapeutic implications:

    • The association between TGFB3 expression and disease severity provides rationale for selective TGFB3 inhibition as a therapeutic strategy

    • RO7303509, a TGFB3-specific antibody, was developed based on this connection and has shown promising results in initial clinical testing

  • Monitoring considerations:

    • Serial measurements of TGFB3 expression and associated biomarkers may help track disease progression

    • These measurements could potentially serve as pharmacodynamic indicators in clinical trials of anti-fibrotic therapies

Understanding these correlations has guided the development of more targeted therapeutic approaches for fibrotic diseases, moving away from pan-TGFβ inhibition toward isoform-specific strategies that may offer improved safety profiles while maintaining efficacy.

What experimental conditions affect the detection of TGFB3 in immunoassays?

Several experimental conditions can significantly impact TGFB3 detection in immunoassays:

  • Reducing vs. non-reducing conditions:

    • Some TGFB3 antibodies function only under non-reducing conditions

    • This is critical for Western blotting and other protein analysis techniques

  • Sample preparation:

    • TGFB3 exists in both latent and active forms in biological samples

    • Acid activation may be required to detect total TGFB3 levels

    • Sample processing methods can affect protein conformation and epitope accessibility

  • Antibody selection:

    • Different clones recognize distinct epitopes (e.g., Clone #44922 vs. Clone #20724)

    • Some antibodies may be suitable for multiple applications while others are application-specific

  • Cross-reactivity considerations:

    • Antibodies may exhibit varying degrees of cross-reactivity with other TGFβ isoforms

    • Species reactivity varies between antibodies (human, mouse, rat, etc.)

  • Detection sensitivity:

    • Sandwich immunoassays typically offer higher sensitivity than direct detection methods

    • Signal amplification strategies may be necessary for low-abundance samples

Researchers should carefully validate their experimental protocols and consider these factors when designing TGFB3 detection assays to ensure reliable and reproducible results.

How can researchers troubleshoot cross-reactivity between TGF-beta isoforms?

Cross-reactivity between TGF-beta isoforms presents a significant challenge in isoform-specific research. Effective troubleshooting approaches include:

  • Antibody selection strategies:

    • Choose antibodies raised against unique regions of TGFB3 not conserved in other isoforms

    • Review validation data showing specificity testing against related isoforms

    • Consider using antibodies targeting the middle region of TGFB3 for higher specificity

  • Validation techniques:

    • Perform competitive binding assays with recombinant TGFB1, TGFB2, and TGFB3

    • Use knockout/knockdown models for each isoform as definitive controls

    • Implement Western blot analysis to confirm single-band detection at the appropriate molecular weight

  • Assay optimization:

    • Adjust antibody concentration to minimize non-specific binding

    • Optimize blocking conditions to reduce background

    • Consider using more stringent washing steps in immunoassays

  • Complementary approaches:

    • Corroborate antibody-based findings with nucleic acid-based detection (RT-PCR, RNA-seq)

    • Use multiple antibodies targeting different epitopes of TGFB3

    • Implement proximity ligation assays for improved specificity

  • Data interpretation:

    • Be aware of the sequence homology between TGF-beta isoforms when interpreting results

    • Consider quantitative analysis of cross-reactivity and adjust findings accordingly

By employing these strategies, researchers can minimize the impact of cross-reactivity and obtain more reliable isoform-specific data in their TGFB3 studies.

What is the current state of TGFB3-targeted therapeutics in fibrotic disease research?

The development of TGFB3-targeted therapeutics represents an evolving approach in fibrotic disease treatment:

  • Rationale for selective targeting:

    • Pan-TGFβ inhibitors have shown unacceptable toxicities in clinical trials

    • Selective inhibition of TGFB3 may target fibrotic disease pathogenesis while reducing adverse effects

    • Increased expression of TGFB3 is associated with markers of disease severity in systemic sclerosis

  • Clinical development status:

    • RO7303509 (MTBT1466A): A high-affinity, TGFB3-specific, humanized IgG1 monoclonal antibody

    • Phase 1a results: Well tolerated at single subcutaneous doses up to 1200 mg in healthy volunteers

    • Favorable pharmacokinetic data that appeared to increase dose-proportionally

    • No subjects developed anti-drug antibodies (ADAs) at baseline; only one subject (2.8%; 50 mg IV) tested positive for ADAs at a single time point (day 15)

  • Pharmacokinetic characteristics:

    • Serum concentrations of RO7303509 were best characterized by a two-compartment model plus a depot compartment with first-order SC absorption kinetics

    • Maximum serum concentrations (Cmax) and area under the concentration-time curve (AUC) values appeared to increase dose-proportionally across all doses tested

  • Safety profile:

    • Most frequent adverse events related to TGFB3-specific antibody treatment were injection site reactions and infusion-related reactions

    • This contrasts with the higher rate of adverse events observed with TGFB1-specific inhibitors like metelimumab (CAT-192)

  • Comparative approaches:

    Therapeutic ApproachExampleDevelopment StatusKey Findings
    TGFB3-specific inhibitionRO7303509Phase 1a completedWell tolerated, favorable PK
    TGFB1-specific inhibitionMetelimumab (CAT-192)Clinical trialsNo evidence of clinical activity, higher rate of AEs
    TGFB1/TGFB3 inhibitionAVID200Clinical trialsImprovements in skin fibrosis, acceptable safety, but grade 2/3 anemia observed

These findings support the further development of TGFB3-specific inhibition as a potential therapeutic strategy for fibrotic diseases, with ongoing research focusing on efficacy in disease-specific contexts.

How are TGFB3 antibodies used in preclinical models of fibrosis?

TGFB3 antibodies serve as valuable tools in preclinical fibrosis research:

  • Mechanistic studies:

    • TGFB3-specific antibodies help delineate the distinct roles of TGFβ isoforms in fibrotic processes

    • Neutralizing antibodies can block TGFB3 activity to assess its contribution to fibrogenesis

    • Antibodies are used to track TGFB3 expression and localization during disease progression

  • Animal models:

    • In preclinical mouse studies, murine surrogates of TGFB3-specific antibodies (like RO7303509) significantly inhibited endogenous activation of TGFβ target genes in models of fibrotic lung disease

    • These models provide proof-of-concept for the therapeutic potential of TGFB3 inhibition

  • Biomarker validation:

    • TGFB3 antibodies are employed to correlate TGFB3 expression with disease biomarkers such as periostin and COMP

    • These correlations help establish the predictive and prognostic value of TGFB3 in fibrotic conditions

  • Target validation approaches:

    • Dose-response studies with TGFB3 antibodies in preclinical models help establish the relationship between target inhibition and antifibrotic effects

    • Combination studies with other antifibrotic agents assess potential synergistic effects

  • Translational research applications:

    • Findings from antibody-based preclinical studies inform clinical trial design

    • Biomarker strategies validated in animal models using TGFB3 antibodies are adapted for human studies

These applications collectively contribute to our understanding of TGFB3's role in fibrosis and facilitate the development of targeted therapeutic strategies with improved efficacy and safety profiles.

What emerging technologies are advancing TGFB3 antibody research?

Several cutting-edge technologies are transforming TGFB3 antibody research:

  • Advanced antibody engineering:

    • Development of bispecific antibodies targeting TGFB3 and complementary fibrotic pathway components

    • Creation of antibody fragments with improved tissue penetration for enhanced efficacy in fibrotic tissues

    • Humanized and fully human antibodies with reduced immunogenicity for therapeutic applications

  • High-throughput screening platforms:

    • Microfluidic systems for rapid evaluation of antibody binding characteristics

    • Automated cell-based assays for functional screening of TGFB3 neutralizing antibodies

    • Computational approaches to predict antibody-antigen interactions and optimize binding properties

  • Single-cell analysis technologies:

    • Integration of TGFB3 antibodies with single-cell RNA sequencing to map TGFB3 activity at cellular resolution

    • Imaging mass cytometry combining TGFB3 antibodies with spatial tissue analysis

    • Multiplexed immunofluorescence to simultaneously visualize TGFB3 and downstream signaling components

  • In vivo imaging techniques:

    • Labeled TGFB3 antibodies for non-invasive tracking of TGFB3 expression in preclinical models

    • Multimodal imaging approaches combining antibody-based detection with functional assessment of fibrotic processes

  • Biomarker discovery platforms:

    • Proteomic approaches to identify novel TGFB3-associated biomarkers for improved patient stratification

    • Integration of TGFB3 antibody-based assays with machine learning algorithms for predictive biomarker development

These technological advances are expected to accelerate research on TGFB3's role in fibrotic diseases and facilitate the development of more effective diagnostic and therapeutic strategies.

What are the key areas for future investigation in TGFB3 biology and antibody development?

Several critical research gaps and opportunities exist in TGFB3 biology and antibody development:

  • Isoform-specific signaling pathways:

    • Further elucidation of TGFB3-specific signaling mechanisms distinct from TGFB1 and TGFB2

    • Investigation of tissue-specific functions of TGFB3 in different fibrotic conditions

    • Characterization of TGFB3-specific receptor complexes and downstream signaling events

  • Therapeutic optimization strategies:

    • Development of combination approaches targeting TGFB3 alongside other fibrotic pathways

    • Exploration of tissue-targeted delivery systems for TGFB3 antibodies to enhance local efficacy

    • Investigation of potential biomarkers for patient selection in TGFB3-targeted therapies

  • Clinical translation challenges:

    • Assessment of long-term safety profiles of TGFB3-specific inhibition

    • Development of companion diagnostics to identify patients most likely to benefit from TGFB3-targeted therapies

    • Comparative studies between different TGFB3 antibody candidates to optimize therapeutic potential

  • Disease-specific investigations:

    • Expanded studies of TGFB3's role in various fibrotic conditions beyond systemic sclerosis

    • Investigation of TGFB3 contributions to fibrosis in different organ systems (lung, liver, kidney, heart)

    • Exploration of potential applications in non-fibrotic conditions where TGFB3 signaling is dysregulated

  • Technical advances in antibody development:

    • Development of next-generation TGFB3 antibodies with enhanced specificity and functional properties

    • Exploration of alternative antibody formats (single-domain antibodies, nanobodies) for improved tissue penetration

    • Creation of multispecific antibodies targeting TGFB3 alongside complementary therapeutic targets

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