Anti-tumor necrosis factor drug responses and skin-blood DNA methylation age: Relationships in moderate-to-severe psoriasis.
Jamaji C Nwanaji-EnweremUgoji Nwanaji-EnweremAndrea A BaccarelliRamone F WilliamsElena ColicinoPublished in: Experimental dermatology (2020)
Studies have examined the utility of DNA methylation as a biomarker of psoriasis treatment responses, but investigations of treatment responses with Skin-Blood DNA methylation age (SkinBloodAge)-a methylation-based measure of health designed using skin tissues-are lacking. Using a HumanMethylation450 BeadChip blood DNA methylation data set from 70 white patients who presented with moderate-to-severe plaque psoriasis and were treated with anti-tumor necrosis factor (TNF) agents in Madrid, Spain, we examined the cross-sectional relationships of SkinBloodAge with anti-TNF treatment responses. Partial responders had a 7.2-year higher mean SkinBloodAge than excellent responders (P = .03). In linear regression models adjusted for chronological age, sex and anti-TNF agents - on average - partial responders had a 2.65-year higher SkinBloodAge than excellent responders (95%CI: 0.44, 4.86, P = .02). This relationship was attenuated in a sensitivity analysis adjusting for white blood cells including known T-cell mediators of psoriasis pathophysiology (β = 1.91-years, 95%CI: -0.50, 4.32, P = .12). Overall, our study suggests that partial responders to anti-TNF therapy have higher SkinBloodAges when compared to excellent responders. Although these findings still need to be confirmed more broadly, they further suggest that SkinBloodAge may be a useful treatment response biomarker that can be incorporated with other blood tests before anti-TNF therapy initiation in moderate-to-severe psoriasis patients.
Keyphrases
- dna methylation
- rheumatoid arthritis
- genome wide
- gene expression
- public health
- healthcare
- early onset
- emergency department
- stem cells
- soft tissue
- risk assessment
- high intensity
- ejection fraction
- mesenchymal stem cells
- copy number
- combination therapy
- end stage renal disease
- induced apoptosis
- big data
- cell cycle arrest
- replacement therapy
- social media
- electronic health record
- bone marrow
- smoking cessation
- signaling pathway
- endoplasmic reticulum stress
- patient reported outcomes
- human health
- neural network