The Immunomodulatory Potential of Short-Chain Fatty Acids in Multiple Sclerosis.

Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative central nervous system (CNS) disorder, characterized by focal inflammation, demyelination, irreversible axonal loss and neurodegeneration. The proposed mechanism involves auto-reactive T lymphocytes crossing the blood-brain barrier (BBB), contributing to inflammation and demyelination. Pro-inflammatory Th1 and Th17 lymphocytes are pivotal in MS pathogenesis, highlighting an imbalanced interaction with regulatory T cells. Dysbiosis in the gut microbiota, characterized by microbial imbalance is implicated in systemic inflammation, yet its exact role in MS remains elusive. Short-chain fatty acids (SCFAs), including valerate, butyrate, propionate, and acetate, produced through dietary fiber fermentation by the gut microbiota, modulate inflammation and immune responses. Particularly, butyrate and propionate exhibit pronounced anti-inflammatory effects in both the gut and CNS. These SCFAs influence regulatory T lymphocyte expression and BBB permeability. This review discusses the potential therapeutic implications of SCFA in MS, highlighting their ability to modulate the gut-brain axis and restore immune balance.

Design, synthesis and in vitro evaluation of novel SARS-CoV-2 3CLpro covalent inhibitors.

Severe diseases such as the ongoing COVID-19 pandemic, as well as the previous SARS and MERS outbreaks, are the result of coronavirus infections and have demonstrated the urgent need for antiviral drugs to combat these deadly viruses. Due to its essential role in viral replication and function, 3CLpro (main coronaviruses cysteine-protease) has been identified as a promising target for the development of antiviral drugs. Previously reported SARS-CoV 3CLpro non-covalent inhibitors were used as a starting point for the development of covalent inhibitors of SARS-CoV-2 3CLpro. We report herein our efforts in the design and synthesis of submicromolar covalent inhibitors when the enzymatic activity of the viral protease was used as a screening platform.

4'-C-Methoxy-2'-deoxy-2'-fluoro Modified Ribonucleotides Improve Metabolic Stability and Elicit Efficient RNAi-Mediated Gene Silencing.

We designed novel 4'-modified 2'-deoxy-2'-fluorouridine (2'-F U) analogues with the aim to improve nuclease resistance and potency of therapeutic siRNAs by introducing 4'-C-methoxy (4'-OMe) as the alpha (C4'α) or beta (C4'ß) epimers. The C4'α epimer was synthesized by a stereoselective route in six steps; however, both α and ß epimers could be obtained by a nonstereoselective approach starting from 2'-F U. 1H NMR analysis and computational investigation of the α-epimer revealed that the 4'-OMe imparts a conformational bias toward the North-East sugar pucker, due to intramolecular hydrogen bonding and hyperconjugation effects. The α-epimer generally conceded similar thermal stability as unmodified nucleotides, whereas the ß-epimer led to significant destabilization. Both 4'-OMe epimers conferred increased nuclease resistance, which can be explained by the close proximity between 4'-OMe substituent and the vicinal 5'- and 3'-phosphate group, as seen in the X-ray crystal structure of modified RNA. siRNAs containing several C4'α-epimer monomers in the sense or antisense strands triggered RNAi-mediated gene silencing with efficiencies comparable to that of 2'-F U.

Accurately Modeling the Conformational Preferences of Nucleosides.

Sugar puckering of nucleosides impacts nucleic acid structures; hence their biological function. Similarly, nucleoside-based therapeutics may adopt different conformations affecting their binding affinity, DNA incorporation, and excision rates. As a result, significant efforts have been made to develop nucleoside analogues adopting specific conformations to improve bioactivity and pharmacokinetic profiles of the corresponding nucleoside-containing drugs. Understanding and ultimately predicting these conformational preferences would significantly help in the design of more effective structures. We report herein a computational study based on hybrid QM/MM umbrella sampling simulations that allow the accurate prediction of the sugar conformational preferences of chemically modified nucleosides in solution. Moreover, we pair these simulations with natural bond orbital (NBO) analysis to gain key insights into the role of substituents in the conformational preferences of these nucleosides.