AAV mediated repression of Neat1 lncRNA combined with F8 gene augmentation mitigates pathological mediators of joint disease in haemophilia.
Pratiksha SarangiMohankumar B SenthilkumarSonal AmitNarendra KumarGiridhara R JayandharanPublished in: Journal of cellular and molecular medicine (2024)
Haemophilic arthropathy (HA), a common comorbidity in haemophilic patients leads to joint pain, deformity and reduced quality of life. We have recently demonstrated that a long non-coding RNA, Neat1 as a primary regulator of matrix metalloproteinase (MMP) 3 and MMP13 activity, and its induction in the target joint has a deteriorating effect on articular cartilage. In the present study, we administered an Adeno-associated virus (AAV) 5 vector carrying an short hairpin (sh)RNA to Neat1 via intra-articular injection alone or in conjunction with systemic administration of a capsid-modified AAV8 (K31Q) vector carrying F8 gene (F8-BDD-V3) to study its impact on HA. AAV8K31Q-F8 vector administration at low dose, led to an increase in FVIII activity (16%-28%) in treated mice. We further observed a significant knockdown of Neat1 (~40 fold vs. untreated injured joint, p = 0.005) in joint tissue of treated mice and a downregulation of chondrodegenerative enzymes, MMP3, MMP13 and the inflammatory mediator- cPLA2, in mice receiving combination therapy. These data demonstrate that AAV mediated Neat1 knockdown in combination with F8 gene augmentation can potentially impact mediators of haemophilic joint disease.
Keyphrases
- long non coding rna
- gene therapy
- low dose
- combination therapy
- poor prognosis
- newly diagnosed
- end stage renal disease
- copy number
- high fat diet induced
- genome wide
- chronic kidney disease
- cell migration
- transcription factor
- type diabetes
- dna methylation
- metabolic syndrome
- cell proliferation
- gene expression
- electronic health record
- radiation induced
- signaling pathway
- spinal cord
- radiation therapy
- machine learning
- high dose
- prognostic factors
- soft tissue
- adipose tissue
- oxidative stress
- pain management
- wild type
- deep learning
- data analysis
- genome wide analysis
- artificial intelligence