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Psoriasis is a kind of chronic inflammatory skin disorder, while the long-term use of conventional therapies for this disease are limited by severe adverse effects. Novel small molecules associated with new therapeutic mechanisms are greatly needed. It is known that phosphodiesterase 4 (PDE4) plays a central role in regulating inflammatory responses through hydrolyzing intracellular cyclic adenosine monophosphate (cAMP), making PDE4 to be an important target for the treatment of inflammatory diseases (e.g. psoriasis). In our previous work, we identified a series of novel PDE4 inhibitors with a tetrahydroisoquinoline scaffold through structure-based drug design, among which compound 1 showed moderate inhibition activity against PDE4. In this study, a series of novel tetrahydroisoquinoline derivatives were developed based on the crystal structure of PDE4D in complex with compound 1. Anti-inflammatory effects of these compounds were evaluated, and compound 36, with high safety, permeability and selectivity, exhibited significant inhibitory potency against the enzymatic activity of PDE4D and the TNF-α release from the LPS-stimulated RAW 264.7 and hPBMCs. Moreover, an in vivo study demonstrated that a topical administration of 36 achieved more significant efficacy than calcipotriol to improve the features of psoriasis-like skin inflammation. Overall, our study provides a basis for further development of tetrahydroisoquinoline-based PDE4 inhibitors against psoriasis.

Psoriasis is a common, chronic inflammatory disease characterized by abnormal skin plaques, and the effectiveness of phosphodiesterase 4 (PDE4) inhibitor to lessen the symptoms of psoriasis has been proved. Aiming to find a novel PDE4 inhibitor acting as an effective, safe, and convenient therapeutic agent, we constructed a library consisting of berberine analogues, and compound 2 with a tetrahydroisoquinoline scaffold was identified as a novel and potent hit. The structure-aided and cell-based structure-activity relationship studies on a series of tetrahydro-isoquinolines lead to efficient discovery of a qualified lead compound (16) with the high potency and selectivity, well-characterized binding mechanism, high cell permeability, good safety and pharmacokinetic profile, and impressive in vivo efficacy on antipsoriasis, in particular with a topical application. Thus, our study presents a prime example for efficient discovery of novel, potent lead compounds derived from natural products using a combination of medicinal chemistry, biochemical, biophysical, and pharmacological approaches.

Indoor positioning based on Wi-Fi signal attracts a lot of attention in the location field. However, accuracy of positioning is often affected due to the instability of indoor Wi-Fi signal. In order to overcome this problem and reduce the errors, we present a new indoor WiFi-based positioning algorithm called FMA-RRSS which is the abbreviation of Fingerprint Matching Algorithm Based on Relative Received Strength Signal. In this paper, we propose a new position-determined model to produce location information from WiFi signal. Combined with the traditional solution of fingerprint database in indoor positioning, we use relative RSS value representing location information to estimate a clients actual position. We set up a positioning system and implement the FMA-RRSS in the actual WiFi environment. The experimental results show the improvement of positioning accuracy, fingerprint training complexity and response time of matching algorithm compared with other traditional indoor positioning algorithm like RADAR and Free Loc.