生物信息学
体内
离体
药理学
类风湿性关节炎
化学
体外
关节炎
消炎药
计算生物学
医学
基因
生物化学
免疫学
生物
生物技术
作者
Amresh Kumar,Abu Md Ashif Ikbal,Monjur Ahmed Laskar,Avik Sarkar,Abhishek Saha,Prashant Bhardwaj,Suprio Das,Santosh Kumar Singh,Parasar Ghosh,Hanieh Kargarzadeh,Partha Palit,Manabendra Dutta Choudhury
标识
DOI:10.1002/cbdv.202401137
摘要
Abstract Rheumatoid arthritis (RA) and associated inflammatory complications are the most prevalent illnesses and can turn into fatal conditions if left untreated. Allopathic medicine is not satisfactory for curing RA. Scientific literature reports reveal that several phyto‐compounds viz . flavonoids, saponins, and terpenoids, can heal joints and organs from auto‐inflammatory rheumatoid arthritis and pain. Gene ontology, gene network analysis, molecular clustering, and literature review were used to optimise RA‐specific highly expressed genes. In‐silico molecular docking was performed to short‐out potential phytomolecules (Neohesperidin dihydrochalcone (NHDC)) from 1000 datasets‐library against RA and validate using MD simulation running at 100 ns. In‐vitro anti‐inflammatory assays of NHDC inhibited egg‐albumin denaturation, IC 50 of 47.739±0.51 μg/ml. The ex‐vivo MTT assay with NHDC rendered 67.209 % inhibition at 100 μM against fd‐FLS‐cells. NHDC downregulated pro‐inflammatory cytokine IL‐17 A production by 61.11 % and 50 % at 300 and 200 μM, respectively. Thus, this Studies recommend that NHDC may be highlighted as a novel multi‐target PADI4 and JAK3 inhibitor with better efficacy and minimal toxicity in RA warranted to In‐Vivo and clinical investigation. The current findings have uncovered remarkable genes and signalling pathways linked to RA, which could enhance our existing comprehension of the molecular mechanisms that drive its development and progression.
科研通智能强力驱动
Strongly Powered by AbleSci AI