The poxvirus F17 protein counteracts mitochondrially orchestrated antiviral responses

Poxviruses are unusual DNA viruses that replicate in the cytoplasm. To do so, they encode approximately 100 immunomodulatory proteins that counteract cytosolic nucleic acid sensors such as cGAMP synthase (cGAS) along with several other antiviral response pathways. Yet most of these immunomodulators are expressed very early in infection while many are variable host range determinants, and significant gaps remain in our understanding of poxvirus sensing and evasion strategies. Here, we show that after infection is established, subsequent progression of the viral lifecycle is sensed through specific changes to mitochondria that coordinate distinct aspects of the antiviral response. Unlike other viruses that cause extensive mitochondrial damage, poxviruses sustain key mitochondrial functions including membrane potential and respiration while reducing reactive oxygen species that drive inflammation. However, poxvirus replication induces mitochondrial hyperfusion that independently controls the release of mitochondrial DNA (mtDNA) to prime nucleic acid sensors and enables an increase in glycolysis that is necessary to support interferon stimulated gene (ISG) production. To counter this, the poxvirus F17 protein localizes to mitochondria and dysregulates mTOR to simultaneously destabilize cGAS and block increases in glycolysis. Our findings reveal how the poxvirus F17 protein disarms specific mitochondrially orchestrated responses to later stages of poxvirus replication.

FEZ1 phosphorylation regulates HSPA8 localization and interferon-stimulated gene expression

Fasciculation and elongation protein zeta-1 (FEZ1) is a multifunctional kinesin adaptor involved in processes ranging from neurodegeneration to retrovirus and polyomavirus infection. Here, we show that, although modulating FEZ1 expression also impacts infection by large DNA viruses in human microglia, macrophages, and fibroblasts, this broad antiviral phenotype is associated with the pre-induction of interferon-stimulated genes (ISGs) in a STING-independent manner. We further reveal that S58, a key phosphorylation site in FEZ1's kinesin regulatory domain, controls both binding to, and the nuclear-cytoplasmic localization of, heat shock protein 8 (HSPA8), as well as ISG expression. FEZ1- and HSPA8-induced changes in ISG expression further involved changes in DNA-dependent protein kinase (DNA-PK) accumulation in the nucleus. Moreover, phosphorylation of endogenous FEZ1 at S58 was reduced and HSPA8 and DNA-PK translocated to the nucleus in cells stimulated with DNA, suggesting that FEZ1 is a regulatory component of the recently identified HSPA8/DNA-PK innate immune pathway.

Negative charge in the RACK1 loop broadens the translational capacity of the human ribosome

Although the roles of initiation factors, RNA binding proteins, and RNA elements in regulating translation are well defined, how the ribosome functionally diversifies remains poorly understood. In their human hosts, poxviruses phosphorylate serine 278 (S²⁷⁸) at the tip of a loop domain in the small subunit ribosomal protein RACK1, thereby mimicking negatively charged residues in the RACK1 loops of dicot plants and protists to stimulate translation of transcripts with 5′ poly(A) leaders. However, how a negatively charged RACK1 loop affects ribosome structure and its broader translational output is not known. Here, we show that although ribotoxin-induced stress signaling and stalling on poly(A) sequences are unaffected, negative charge in the RACK1 loop alters the swivel motion of the 40S head domain in a manner similar to several internal ribosome entry sites (IRESs), confers resistance to various protein synthesis inhibitors, and broadly supports noncanonical modes of translation.

How ribosomes functionally diversify to selectively control translation is only beginning to be understood. Rollins et al. show that negative charge in a loop domain of the small subunit ribosomal protein RACK1 increases the swiveling motion of the 40S head and broadens the translational capacity of the human ribosome.

The development and use of Actiphage® to detect viable mycobacteria from bovine tuberculosis and Johne's disease-infected animals

Here, we describe the development of a method that exploits bacteriophage D29 as a lysis agent for efficient DNA extraction from low numbers of mycobacterial cells. This method (Actiphage® ) used in combination with PCR achieved rapid and sensitive (LOD ≤ 10 cell ml-1 ) detection and identification of viable, pathogenic mycobacteria in blood samples within 6 h. We demonstrate that mycobacteriophage D29 can be used to detect a range of mycobacteria from clinical blood samples including both Mycobacterium tuberculosis complex and Mycobacterium avium subsp. paratuberculosis without the need for culture and confirms our earlier observations that a low-level bacteraemia is associated with these infections in cattle. In a study of M. bovis-infected cattle (n = 41), the sensitivity of the Actiphage® method was 95 % (95 % CI; 0.84-0.99) and specificity was 100 % (95% CI; 0.92-1). We further used Actiphage® to demonstrate viable Mycobacterium avium subsp. paratuberculosis is present in the blood of Johne's infected cattle. This method provides a revolutionary new tool for the study of infections caused by these difficult to grow pathogens.

Translational control during poxvirus infection

Poxviruses are an unusual family of large double-stranded (ds) DNA viruses that exhibit an incredible degree of self-sufficiency and complexity in their replication and immune evasion strategies. Indeed, amongst their approximately 200 open reading frames (ORFs), poxviruses encode approximately 100 immunomodulatory proteins to counter host responses along with complete DNA synthesis, transcription, mRNA processing and cytoplasmic redox systems that enable them to replicate exclusively in the cytoplasm of infected cells. However, like all other viruses poxviruses do not encode ribosomes and therefore remain completely dependent on gaining access to the host translational machinery in order to synthesize viral proteins. Early studies of these intriguing viruses helped discover the mRNA cap and polyadenylated (polyA) tail that we now know to be present on most eukaryotic messages and which play fundamental roles in mRNA translation, while more recent studies have begun to reveal the remarkable lengths poxviruses go to in order to control both host and viral protein synthesis. Here, we discuss some of the central strategies used by poxviruses and the broader battle that ensues with the host cell to control the translation system, the outcome of which ultimately dictates the fate of infection. This article is categorized under: Translation > Translation Regulation.

Poxviruses Evade Cytosolic Sensing through Disruption of an mTORC1-mTORC2 Regulatory Circuit

Viruses employ elaborate strategies to coopt the cellular processes they require to replicate while simultaneously thwarting host antiviral responses. In many instances, how this is accomplished remains poorly understood. Here, we identify a protein, F17 encoded by cytoplasmically replicating poxviruses, that binds and sequesters Raptor and Rictor, regulators of mammalian target of rapamycin complexes mTORC1 and mTORC2, respectively. This disrupts mTORC1-mTORC2 crosstalk that coordinates host responses to poxvirus infection. During infection with poxvirus lacking F17, cGAS accumulates together with endoplasmic reticulum vesicles around the Golgi, where activated STING puncta form, leading to interferon-stimulated gene expression. By contrast, poxvirus expressing F17 dysregulates mTOR, which localizes to the Golgi and blocks these antiviral responses in part through mTOR-dependent cGAS degradation. Ancestral conservation of Raptor/Rictor across eukaryotes, along with expression of F17 across poxviruses, suggests that mTOR dysregulation forms a conserved poxvirus strategy to counter cytosolic sensing while maintaining the metabolic benefits of mTOR activity.

Participation of patients in the development of advanced therapy medicinal products

An increasing number of advanced therapy medicinal products (ATMPs) are under development and in clinical trials. Patients are central to this progress. In research, patients have funded, catalysed, coordinated and led projects. In regulation, patient groups have contributed to the creation of the political momentum for regulation of ATMPs, contributed to the debate and now participate in the regulatory process. Once licensed, patients will have a role in the pharmacovigilance, health technology assessment and reimbursement arrangements for these products. Patient groups contribute valuably as equal stakeholders at every step of the development of an ATMP.

Forecasting with growth curves: the effect of error structure

"The main theme of this paper is an investigation into the importance of error structure as a determinant of the forecasting accuracy of the logistic model. The relationship between the variance of the disturbance term and forecasting accuracy is examined empirically. A general local logistic model is developed as a vehicle to be used in this investigation. Some brief comments are made on the assumptions about error structure, implicit or explicit, in the literature." The results suggest that "the variance of the disturbance term, when using the logistic to forecast human populations, is proportional to at least the square of population size."

A modified logistic model applied to human populations

"The use of the logistic curve for forecasting human populations [in the United Kingdom] considered by Leach is re-examined. A modification of the use of the logistic curve is suggested, which changes the emphasis from fitting a logistic trend to providing a forecast logistic trend. The assumption, used by Leach, that the variance of the additive disturbance term is constant is replaced by a more realistic supposition that the variance of the proportional disturbance is constant. The forecasting performance of the modified logistic model is shown to be superior to that of the model used by Leach." A reply by Leach (pp. 496-7) and a response by the author (p. 498) are included.