Substrate Analogues Entering the Lipoic Acid Salvage Pathway via Lipoate-Protein Ligase 2 Interfere with Staphylococcus aureus Virulence.

Lipoic acid (LA) is an essential cofactor in prokaryotic and eukaryotic organisms, required for the function of several multienzyme complexes such as oxoacid dehydrogenases. Prokaryotes either synthesize LA or salvage it from the environment. The salvage pathway in Staphylococcus aureus includes two lipoate-protein ligases, LplA1 and LplA2, as well as the amidotransferase LipL. In this study, we intended to hijack the salvage pathway by LA analogues that are transferred via LplA2 and LipL to the E2 subunits of various dehydrogenases, thereby resulting in nonfunctional enzymes that eventually impair viability of the bacterium. Initially, a virtual screening campaign was carried out to identify potential LA analogues that bind to LplA2. Three selected compounds affected S. aureus USA300 growth in minimal medium at concentrations ranging from 2.5 to 10 µg/mL. Further analysis of the most potent compound (Lpl-004) revealed its transfer to E2 subunits of dehydrogenase complexes and a negative impact on its functionality. Growth impairment caused by Lpl-004 treatment was restored by adding products of the lipoate-dependent enzyme complexes. In addition, Caenorhabditis elegans infected with LpL-004-treated USA300 demonstrated a significantly expanded lifespan compared to worms infected with untreated bacteria. Our results provide evidence that LA analogues exploiting the LA salvage pathway represent an innovative strategy for the development of novel antimicrobial substances.

On the relationship of anthranilic derivatives structure and the FXR (Farnesoid X receptor) agonist activity.

Farnesoid X receptor (FXR) is a nuclear receptor related to lipid and glucose homeostasis and is considered an important molecular target to treatment of metabolic diseases as diabetes, dyslipidemia, and liver cancer. Nowadays, there are several FXR agonists reported in the literature and some of it in clinical trials for liver disorders. Herein, a compound series was employed to generate QSAR models to better understand the structural basis for FXR activation by anthranilic acid derivatives (AADs). Furthermore, here we evaluate the inclusion of the standard deviation (SD) of EC50 values in QSAR models quality. Comparison between the use of experimental variance plus average values in model construction with the standard method of model generation that considers only the average values was performed. 2D and 3D QSAR models based on the AAD data set including SD values showed similar molecular interpretation maps and quality (Q2LOO, Q2(F2), and Q2(F3)), when compared to models based only on average values. SD-based models revealed more accurate predictions for the set of test compounds, with lower mean absolute error indices as well as more residuals near zero. Additionally, the visual interpretation of different QSAR approaches agrees with experimental data, highlighting key elements for understanding the biological activity of AADs. The approach using standard deviation values may offer new possibilities for generating more accurate QSAR models based on available experimental data.

Advances and Challenges in Drug Design of PPARδ Ligands.

BACKGROUND: Peroxisome proliferator-activated receptors (PPAR) are nuclear receptors activated by endogenous fatty acids and prostaglandins that are classified into three types: α, γ and δ, which have different functions and tissue distribution. PPAR modulators have been exploited to the treatment of important metabolic diseases, such as type 2 diabetes mellitus and metabolic syndrome, which are considered relevant epidemic diseases currently. Along the last decades, several studies have reported structural differences between the three PPAR subtypes associated with the discovery of selective ligands, dual and pan-agonists. Nowadays, there are several approved drugs that activate PPARα (fibrates) and PPARγ (glitazones), but up to now there is none clinically used drug targeting PPARδ. Additionally, several side-effects associated with the use of PPARα and γ agonists are reported by regulatory agencies, which do not indicate anymore their use as first-line drugs. OBJECTIVE: A significant new market has grown in the last years, focusing on the development of new PPARδ agonists as drug candidates to treat metabolic diseases and, in this sense, this study proposes to review the structural requirements to achieve selective PPARδ activation, as well to discuss the most relevant agonists in clinical trials, providing information on the current phase in the drug discovery and design targeting PPARδ. CONCLUSION: Several PPARδ ligands with high potency were reported in the literature and were designed or discovered by a combination of experimental and computational approaches. Furthermore, the reported importance of pockets and individual residues at PPARδ binding site as well as the importance of substituent and some physicochemical properties that could help to design of new classes of agonists.