Increasing evidence supports the beneficial effects of polyphenol-rich diets, including the traditional Mediterranean diet, for the management of cardiovascular disease, obesity and neurodegenerative diseases. However, a common concern when discussing the protective effects of polyphenol-rich diets against diseases is whether these compounds are present in systemic circulation in their intact/parent forms in order to exert their beneficial effects in vivo. Here, we explore two common classes of dietary polyphenols, namely isoflavones and lignans, and their gut microbial-derived metabolites for gut and blood–brain barrier predicted permeability, as well as protection against neuroinflammatory stimuli in murine BV-2 microglia. Polyphenol microbial metabolites (PMMs) generally showed greater permeability through artificial gut and blood–brain barriers compared to their parent compounds. The parent polyphenols and their corresponding PMMs were evaluated for protective effects against lipopolysaccharide-induced inflammation in BV-2 microglia. The lignan-derived PMMs, equol and enterolactone, exhibited protective effects against nitric oxide production, as well as against pro-inflammatory cytokines (IL-6 and TNF-α) in BV-2 microglia. Therefore, PMMs may contribute, in large part, to the beneficial effects attributed to polyphenol-rich diets, further supporting the important role of gut microbiota in human health and disease prevention.

Even though raw mass spectrometry data is information rich, the vast majority of the data is underutilized. The ability to interrogate these rich datasets is handicapped by the limited capability and flexibility of existing software. We introduce the Mass Spec Query Language (MassQL) that addresses these issues by enabling an expressive set of mass spectrometry patterns to be queried directly from raw data. MassQL is an open-source mass spectrometry query language for flexible and mass spectrometer manufacturer-independent mining of MS data. We envision the flexibility, scalability, and ease of use of MassQL will empower the mass spectrometry community to take fuller advantage of their mass spectrometry data and accelerate discoveries.

Chemical screening libraries often feature natural product extracts (NPEs) due to the intriguing biological activities they possess and the structural diversity found in their individual components. A research project originally designed to create an extract library of every specimen in the University of Rhode Island (URI) Heber W. Youngken Jr. Medicinal Garden soon turned into a laboratory-based teaching project in which upper-division undergraduate students generated and analyzed extracts in an academic minisemester project. Additionally, motivated upper-division undergraduates carried out independent research isolating biologically active molecules. Hands-on laboratory activities enhanced students’ knowledge of methodologies and workflows associated with extract analysis and biological evaluation of botanical extracts. The synergy of the laboratory course with the independent study contributed to workforce preparation and library generation.

The trichophycin family of compounds are chlorinated polyketides first discovered from environmental collections of a bloom-forming Trichodesmium sp. cyanobacterium. In an effort to fully capture the chemical space of this group of metabolites, the utilization of MS/MS-based molecular networking of a Trichodesmium thiebautii extract revealed a metabolome replete with halogenated compounds. Subsequent MS-guided isolation resulted in the characterization of isotrichophycin C and trichophycins G-I (1-4). These new metabolites had intriguing structural variations from those trichophycins previously characterized, which allowed for a comparative study to examine structural features that are associated with toxicity to murine neuroblastoma cells. Additionally, we propose the absolute configuration of the previously characterized trichophycin A (5). Overall, the metabolome of the Trichodesmium bloom is hallmarked by an unprecedented amount of chlorinated molecules, many of which remain to be structurally characterized. 4 and derivatives of 1, 3, and trichophycin A. ECD data of 1 and trichophycin C. EC50 curves of 1-3 and acetylated derivatives, and phylogenetic analysis.

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To combat the bottlenecks in drug discovery and development, a pipeline to identify neuropharmacological candidates using in silico, in vitro, and receptor specific assays was devised. The focus of this pipeline was to identify metabolites with the ability to reduce neuroinflammation, due to the implications that chronic neuroinflammation has in chronic pain and neurodegenerative diseases. A library of pure compounds isolated from the cyanobacterium Trichodesmium thiebautii was evaluated using this method. In silico analysis of drug likelihood and in vitro permeability analysis using the parallel artificial membrane permeability assay (PAMPA) highlighted multiple metabolites of interest from the library. Murine BV-2 microglia were used in conjunction with the Griess assay to determine if metabolites could reduce lipopolysaccharide induced neuroinflammation followed by analysis of pro-inflammatory cytokine concentrations in the supernatant of the treated cell cultures. The nontoxic metabolite unnarmicin D was further evaluated due to its moderate permeability in the PAMPA assay, promising ADME data, modulation of all cytokines tested, and prediction as an opioid receptor ligand. Molecular modeling of unnarmicin D to the μ and δ opioid receptors showed strong theoretical binding potential to the μ opioid receptor. In vitro binding assays validated this pipeline showing low micromolar binding affinity for the μ opioid receptor launching the potential for further analysis of unnarmicin D derivatives for the treatment of pain and neuroinflammation related diseases.

<b><i>Introduction:</i></b> Cannabinoids including cannabidiol (CBD) have attracted enormous interest as bioactive ingredients for various dermatological and/or cosmeceutical uses. However, topical applications of cannabinoids might be limited without a fundamental understanding of their skin permeability. Herein, we aimed to evaluate the skin permeability of CBD and its topical formulations using artificial skin membrane assays. The solubility and stability of CBD in various surfactants that are commonly used in topical applications were also evaluated. <b><i>Methods:</i></b> CBD and two CBD-incorporated topical formulations (cream and gel) were prepared for this study. Computational predictions (SwissADME and DERMWIN™) and the parallel artificial membrane permeability assay (PAMPA) were used to evaluate the skin permeability of CBD isolate. The Franz cell diffusion (in vitro release testing) assay was used to evaluate the skin permeability of CBD formulations. The solubility and stability of CBD in surfactants were assessed by high-performance liquid chromatography and mass spectrometry analysis. <b><i>Results:</i></b> CBD isolate showed favorable skin permeability in the SwissADME and DERMWIN™ predictions (−Log Kp of 3.6 and 5.7 cm/s, respectively) and PAMPA (−LogPe value of 5.0 at pH of 6.5 and 7.4). In addition, CBD had higher solubility (378.4 μg/mL) in surfactant Tween 20 as compared to its solubility in polyisobutene. In an acidic environment (pH 5 and 6), Tween 20 maintained the CBD content at 81% and 70% over 30 days, respectively. CBD in the formulations of cream and gel also had moderate skin permeability in the Franz cell diffusion assay. <b><i>Conclusion:</i></b> Data from artificial membrane-based assays support that CBD is a skin permeable cannabinoid and the permeability and stability of its formulations may be influenced by several factors such as surfactant and pH environment. Findings from our study suggest that CBD may have suitable skin permeability for the development of dermatological and/or cosmeceutical applications but further studies using in vivo models are warranted to confirm this.

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