Mechanical strain induced phospho-proteomic signaling in uterine smooth muscle cells

The Preventive Effects of Quercetin on Preterm Birth Based on Network Pharmacology and Bioinformatics

Our previous study has shown that quercetin prevented lipopolysaccharide-induced preterm birth. This study aims to clarify the potential targets and biological mechanisms of quercetin in preventing preterm birth. We used bioinformatics databases to collect the candidate targets for quercetin and preterm birth. The biological functions and enriched pathways of the intersecting targets were analyzed by gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. Then, the hub targets were identified by cytoscape plugin cytoHubba from the protein-protein interaction network. We obtained 105 targets for quercetin in preventing preterm birth. The biological processes of the intersecting targets are mainly involved in steroid metabolic process, drug metabolic process, oxidation-reduction process, omega-hydroxylase P450 pathway, positive regulation of cell migration, negative regulation of apoptotic process, and positive regulation of cell proliferation. The highly enriched pathways were steroid hormone biosynthesis, metabolism of xenobiotics by cytochrome P450, proteoglycans in cancer, focal adhesion, and arachidonic acid metabolism. The ten hub targets for quercetin in preventing preterm birth were AKT serine/threonine kinase 1, mitogen-activated protein kinase 3, epidermal growth factor receptor, prostaglandin-endoperoxide synthase 2, mitogen-activated protein kinase 1, estrogen receptor 1, heat shock protein 90 alpha family class A member 1, mitogen-activated protein kinase 8, androgen receptor, and matrix metallopeptidase 9. Molecular docking analysis showed good bindings between these proteins and quercetin. In conclusion, these findings highlight the key targets and molecular mechanisms of quercetin in preventing preterm birth.

Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States

Loading of skeletal muscle changes the tissue phenotype reflecting altered metabolic and functional demands. In humans, heterogeneous adaptation to loading complicates the identification of the underpinning molecular regulators. A within-person differential loading and analysis strategy reduces heterogeneity for changes in muscle mass by ∼40% and uses a genome-wide transcriptome method that models each mRNA from coding exons and 3' and 5' untranslated regions (UTRs). Our strategy detects ∼3-4 times more regulated genes than similarly sized studies, including substantial UTR-selective regulation undetected by other methods. We discover a core of 141 genes correlated to muscle growth, which we validate from newly analyzed independent samples (n = 100). Further validating these identified genes via RNAi in primary muscle cells, we demonstrate that members of the core genes were regulators of protein synthesis. Using proteome-constrained networks and pathway analysis reveals notable relationships with the molecular characteristics of human muscle aging and insulin sensitivity, as well as potential drug therapies.

Physiomimetic Models of Adenomyosis

Adenomyosis remains an enigmatic disease in the clinical and research communities. The high prevalence, diversity of morphological and symptomatic presentations, array of potential etiological explanations, and variable response to existing interventions suggest that different subgroups of patients with distinguishable mechanistic drivers of disease may exist. These factors, combined with the weak links to genetic predisposition, make the entire spectrum of the human condition challenging to model in animals. Here, after an overview of current approaches, a vision for applying physiomimetic modeling to adenomyosis is presented. Physiomimetics combines a system's biology analysis of patient populations to generate hypotheses about mechanistic bases for stratification with in vitro patient avatars to test these hypotheses. A substantial foundation for three-dimensional (3D) tissue engineering of adenomyosis lesions exists in several disparate areas: epithelial organoid technology; synthetic biomaterials matrices for epithelial–stromal coculture; smooth muscle 3D tissue engineering; and microvascular tissue engineering. These approaches can potentially be combined with microfluidic platform technologies to model the lesion microenvironment and can potentially be coupled to other microorgan systems to examine systemic effects. In vitro patient-derived models are constructed to answer specific questions leading to target identification and validation in a manner that informs preclinical research and ultimately clinical trial design.