Due to the complex biology of the human system, peroxisome proliferator-activated receptors (PPARs) can exert different or even contradictory effects on patients with the same disease, especially in complex diseases such as cancer and mental health disorders. Therefore, it is essential to understand the patient-specific roles of PPARs in related diseases and signalling pathways, targeting therapeutic intervention, and personalised medicine.

Numerous studies have been conducted to understand the role of PPARs in over a thousand diseases, which has built a solid foundation and a valuable knowledge database for functional dissection of PPAR-regulated networks. However, most current studies are focused on the general roles of PPARs in related diseases, with few considering patient-specific variation of PPARs signalling, even when using them as treatment targets.

This Special Issue aims to present efforts to integrate existing databases and knowledge-based algorithms into experimental and computational studies of patient-specific PPAR signalling variations in related disorders. Both original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Reviews on PPAR signalling variations and influential factors in related diseases
• Meta/mega-analysis for PPAR signalling variations and influential factors in related diseases research
• In-silico modelling to study PPAR patient-specific roles
• In-silico studies showing patient-specific PPAR-regulating compounds
• Knowledge data applications to study PPAR patient-specific roles
• Knowledge applications offering patient-specific PPAR-regulating compounds
• Computational algorithms to learn PPAR patient-specific roles
• Computational algorithms showing patient-specific PPAR-regulating compounds
• Patient-specific roles of PPARs in novel/existing biological networks and signalling pathways
• Clinical studies revealing patient-specific variations of PPARs in the same disease