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Francis, T.

Publications and source records attributed to Francis, T..

3 recordsLinked to original sources

Increased utrophin expression in healthy and DMD patient derived myoblasts in response to ERK1/2 and EZH2 inhibitor treatment

BackgroundThe X-linked muscle wasting disorder Duchenne muscular dystrophy (DMD) is a progressive and ultimately fatal disease caused by loss of function mutations in the dystrophin (DMD) gene. Upregulation of utrophin (UTRN), an embryonic homologue of dystrophin, has been proposed as a therapeutic option that could ameliorate disease. We previously generated a bioluminescent screen for utrophin-upregulating compounds using a mouse reporter of endogenous utrophin expression and discovered that inhibition of ERK1/2 and EZH2, increases utrophin expression in myoblasts. MethodologyHere we extend this analysis to show that treatment of human myoblasts with the ERK1/2 inhibitor LY3214996 and the EZH2 inhibitor GSK503, increases UTRN expression in primary and immortalised myoblasts derived from healthy volunteers and DMD patients. ResultsShort-term (24 hours) inhibition of ERK1/2 and EZH2 resulted in increased expression of utrophin in proliferating myoblasts. Surprisingly, in patient-derived samples, but not healthy controls, increased UTRN expression was sustained following drug removal and in vitro differentiation. Furthermore, dystrophin deficient myoblasts have altered expression of myogenic transcription factors MYOD1 and MYOG and proliferation marker Ki67, signalling an altered regenerative capacity of these cells, while ERK1/2 inhibition, alone or combined with EZH2i, reversed this transcriptional signature. ConclusionsTreatment with ERK1/2 and EZH2 inhibitors could offer a therapeutic option for DMD by increasing UTRN and MYOD1 expression. We propose that this may compensate for DMD loss and help restore productive muscle differentiation and regeneration.

pharmacology and toxicology↗

Anti-tubercular potential and pH-driven mode of action of salicylic acid derivatives

In the search for new anti-tuberculosis drugs with novel mechanisms of action, we evaluated the antimycobacterial activity of a panel of eight phenolic acids against four pathogenic mycobacterial model species, including M. tuberculosis. We demonstrated that salicylic acid (SA), as well as the iodinated derivatives 5-iodo-salicylic acid (5ISA) and 3,5-diiodo-salicylic acid (3,5diISA), displayed promising antitubercular activities. Remarkably, using a genetically encoded mycobacterial intrabacterial pH reporter, we describe for the first time that SA, 5ISA, 3,5diISA and the anti-inflammatory drug aspirin (ASP) act by disrupting the intrabacterial pH homeostasis of M. tuberculosis in a dose-dependent manner under in vitro conditions mimicking the endolysosomal pH of macrophages. In contrast, the structurally related second-line anti-TB drug 4-aminosalicylic acid (PAS) had no pH-dependent activity and was strongly antagonized by L-methionine supplementation, thereby suggesting distinct modes of action. Finally, we propose that SA, ASP and its two iodinated derivatives could restrict M. tuberculosis growth in a pH-dependent manner by acidifying the cytosol of the bacilli; therefore, making such compounds very attractive for further development.

microbiology↗

Effects of stochasticity on the length and behaviour of ecological transients

There is a growing recognition that ecological systems can spend extended periods of time far away from an asymptotic state, and that ecological understanding will therefore require a deeper appreciation for how long ecological transients arise. Recent work has defined classes of deterministic mechanisms that can lead to long transients. Given the ubiquity of stochasticity in ecological systems, a similar systematic treatment of transients that includes the influence of stochasticity is important. Stochasticity can of course promote the appearance of transient dynamics by preventing systems from settling permanently near their asymptotic state, but stochasticity also interacts with deterministic features to create qualitatively new dynamics. As such, stochasticity may shorten, extend, or fundamentally change a systems transient dynamics. Here, we describe a general framework that is developing for understanding the range of possible outcomes when random processes impact the dynamics of ecological systems over realistic time scales. We emphasize that we can understand the ways in which stochasticity can either extend or reduce the lifetime of transients by studying the interactions between the stochastic and deterministic processes present, and we summarize both the current state of knowledge and avenues for future advances.

ecology↗