Development of Predictive Models for NB-UVB Treatment Efficacy and Safety in Psoriasis
Yingyuan Yu, Bingjie Li, Yu Wang, Zhengkai Qu, Xin Wang, Yuxiong Jiang, Xiaoyuan Zhong, Youdong Chen, Dawei Huang, Xinling Bi, Jiajing Lu, Yangfeng Ding, Yu Gong, Jun Gu, Xilin Zhang, Yuling Shi · 2026
Read Development of Predictive Models for NB-UVB Treatment Efficacy and Safety in Psoriasis by Yingyuan Yu, Bingjie Li, Yu Wang, Zhengkai Qu, Xin Wang, Yuxiong Jiang, Xiaoyuan Zhong, Youdong Chen, Dawei Huang, Xinling Bi, Jiajing Lu, Yangfeng Ding, Yu Gong, Jun Gu, Xilin Zhang, Yuling Shi (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13220831.txt.
Description
Yingyuan Yu and a large dermatology team build genetic prediction models for therapy response in psoriasis in a 2026 study. Narrow-band ultraviolet B phototherapy is effective, cheap, and safe for psoriasis, yet patients vary in how they clear and who suffers side effects, and clinicians have had no way to forecast. Two hundred fifty-two patients received twelve weeks while they collected data and blood for scanning.
The scan flagged variant markers in genes as tied to early improvement at four weeks, to reaching the seventy-five percent milestone by week twelve, and to adverse events. Variants near a potassium gene and in two genes marked the side-effect risk. Prediction models from these signals discriminated responders with accuracy between 0.80 and 0.85. The authors note the threshold used, which was looser than the strictest standard, stating that external cohorts must validate the models before a clinic should act on them.
Catalog record
| CREATOR | Yingyuan Yu, Bingjie Li, Yu Wang, Zhengkai Qu, Xin Wang, Yuxiong Jiang, Xiaoyuan Zhong, Youdong Chen, Dawei Huang, Xinling Bi, Jiajing Lu, Yangfeng Ding, Yu Gong, Jun Gu, Xilin Zhang, Yuling Shi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |