Using human genetics to validate complement C3 as a drug target in periodontitis
Alayash, Z.; Baumeister, S.-E.; Holtfreter, B.; Kocher, T.; Baurecht, H.; Ehmke, B.; Nolde, M.; Reckelkamm, S. L.
Show abstract
AimEvidence from a phase IIa trial showed that a complement C3-targeted drug reduced gingival inflammation in patients with gingivitis. We investigated the therapeutic effect of genetically proxied C3 inhibition on periodontitis using drug target Mendelian randomization (MR). Materials and methodsWe used multiple cis instruments from the vicinity of the encoding loci of C3 that are associated with serum C3. We selected three independent single nucleotide polymorphisms (rs141552034, rs145406915, rs11569479) from a genome-wide association study (GWAS) of 5,368 European descent individuals. We extracted association statistics from a GWAS of 17,353 clinical periodontitis cases and 28,210 European controls. Wald ratios were combined using inverse-variance weighted meta-analysis. ResultsMR analysis revealed that the inhibition of C3 reduces the risk of periodontitis (Odds ratio 0.91 per 1 standard deviation reduction in C3; 95% Confidence Interval 0.87-0.96, P-value=0.0003). ConclusionsFindings from MR analysis showed that C3 blockade protects against periodontitis. Clinical relevanceO_ST_ABSScientific rationale for studyC_ST_ABSMounting evidence suggests that the complement system is dysregulated in periodontitis. First human randomized clinical trials demonstrated promising effects mediated via the blockade of C3, a key factor of the complement system. Results from drug target MR analysis can provide compelling evidence to predict the efficacy of pharmacological C3 blockage in future clinical trials in periodontitis patients. Principle findingsGenetically proxied C3 inhibition reduced periodontitis risk. Practical implicationsOur MR analysis provides genetic evidence that C3-targeted drugs might be an efficient adjunct therapy in periodontitis.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The macrophage reprogramming ability of antifolates reveals soluble CD14 as a potential biomarker for methotrexate response in rheumatoid arthritis 90%
- Extratubular polymerized uromodulin induces leukocyte recruitment and inflammation in vivo 90%
- Host-Microbial Interactions in Systemic Lupus Erythematosus and Periodontitis 89%
Similar papers in this journal
- Association between genetically predicted circulating immune cells on periodontitis highlights the prospect of systemic immunomodulation management in periodontal care: a Mendelian randomization study 94%
- Telocytes regulate macrophages in periodontal disease 92%
- Creating an atlas of the bone microenvironment during oral inflammatory-related bone disease using single-cell profiling 91%
Similar papers in this journal
- Combining Bacteriophage and Vancomycin is Efficacious Against MRSA biofilm-like Aggregates Formed in Synovial Fluid 87%
- Cell-matrix adhesion contributes to permeability control in human colon organoids 87%
- Circulating polyunsaturated fatty acids and COVID-19: a prospective cohort study and Mendelian randomization analysis 87%
Similar papers in this journal
- Variants in ALDH1A2 reveal an anti-inflammatory role for retinoic acid and a new class of disease-modifying drugs in osteoarthritis 89%
- ATRAID regulates the action of nitrogen-containing bisphosphonates on bone. 89%
- Increased beta2-adrenergic signaling is a targetable stimulus essential for bone healing by promoting callus neovascularization 89%
Similar papers in this journal
- Bacterial community modifies host genetics effect on early childhood caries 88%
- Longitudinal protection following natural SARS-CoV-2 infection and early vaccine responses: insights from a cohort of community based dental health care professionals 87%
- Dental mitigation strategies to reduce aerosolization of SARS-CoV-2 85%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.