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Background: Neuroinflammation resulting from oxidative and nitrosative stress is associated with various neurological disorders and involves the generation of pro-inflammatory cytokines and microglial activation. Dietary phytochemicals are safer and more valuable adjunct neurotherapeutic agents which can be added to the therapeutic regimen. These compounds provide neuroprotection by the modulation of various signaling pathways., Introduction: Naringenin (NGN) is a phytochemical having low oral bioavailability because of poor solubility, and adding to this limitation is enhanced efflux by P-glycoprotein transporters in neuroinflammatory diseases., Methods: Hence, as a solution for these limitations, naringenin encapsulated poly-lactic-co-glycolic acid (PLGA) nanocarriers were developed using the nanoprecipitation technique and coated with 1% glutathione (GSH) and 1% Tween 80 to enhance brain delivery., Results: Coated and uncoated NGN-PLGA nanoparticles (NGN-PLGA-NPs) were spherical, monodispersed, stable, and non-toxic, with a particle size of less than 200 nm. They had negative zeta-potential values, 80% entrapment efficiency, and sustained drug release of 81.8% (uncoated), 80.13%, and 78.43% (coated) in 24 hours. FT-IR, DSC, PXRD, and NMR confirmed the drug encapsulation and coating over nanoparticles. In vivo brain uptake showed greater fluorescence intensity of the coated nanoparticles in the brain than uncoated nanoparticles. In addition, there was a 2.33-fold increase in bioavailability after coating compared to naringenin suspension and enhanced brain uptake., Conclusion: Present studies indicate sustained and targeted brain delivery of naringenin via the ligandcoated delivery system by inhibiting enhanced P-glycoprotein (P-gp) efflux occurring in autism spectrum disorders due to neuroinflammation., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

There have been major strides in the development of novel ways of investigating drug like properties of new chemical entities (NCE) in the last three decades. Identification of ideal properties of a clinical candidate that would give a clinical proof of concept (POC) is the most critical step in the discovery process. Besides the biological dose-response relationship, the pharmacokinetic parameters play the most vital role in influencing the therapeutic response or toxicity of NCE. While there are numerous techniques to understand various drug-like properties individually, the behavior of an NCE in a dynamic in vivo system which influences its therapeutic or toxic effects is a composite function of its various physicochemical and pharmacokinetic parameters. This implies the need to understand the collective influence of various measured parameters, and knowing how variations made in them can result in favorable pharmacodynamic or toxicokinetic properties. Understanding this behavior holds the key to a successful and time efficient lead optimization process. Physiological based pharmacokinetic models (PBPK) are of great interest in this context as they involve a natural way of integrating the individual compound property to physiological properties, providing a rational approach to predict drug like behavior (an ideal behavior identified may be addressed generally as Target Product Profile) in vivo. In the current review, various physiological pharmacokinetic models addressing absorption, tissue distribution and clearance are discussed along with their application in integrating various physicochemical and ADME parameters to predict human pharmacokinetics helping lead optimization.