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Biology subjects

Buch, A.

Publications and source records attributed to Buch, A..

3 recordsLinked to original sources

Herpes Simplex Virus Assembly and Spread in murine skin after infection from the outside

Herpes simplex viruses (HSV) cause many skin diseases, particularly in immunocompromised patients. HSV-1 infection of murine skin recapitulates many aspects of human pathology. However, many protocols rely on mechanical or enzymatic skin disruption to induce lesions, although this can alter skin homeostasis and prime antiviral inflammation before inoculation. To investigate the initial events following HSV-1 primary skin infection before the onset of symptoms, we developed a novel murine ex vivo explant model using gentle depilation but no further scarification and infected keratinocytes from the outside with minimal tissue damage. Two-photon microscopy studies showed that HSV-1 spread exclusively in the epidermis. The infection centers increased in number and size over time and contained hundreds of infected keratinocytes. We investigated the HSV-1 spread at the cellular level, using reporter strains with fluorescently-tagged capsid protein VP26, and monitored the formation of nuclear capsid assembly sites, nuclear capsid egress, and the recruitment of the inner tegument protein pUL37GFP, the outer tegument protein VP11/12GFP, and the envelope protein gDGFP to cytoplasmic capsids. By electron microscopy, the skin appeared intact, and keratinocytes contained many nuclear capsids, primary virions in the nuclear envelope, cytosolic membrane-associated capsids, and enveloped virions. Our protocol provides a robust and reproducible approach to investigate the very early events of HSV-1 spread in the skin, to characterize the phenotypes of HSV-1 mutants in terminally differentiated skin tissues, and to evaluate potentially antiviral small molecules in a preclinical ex vivo infection model. IMPORTANCEThis study describes a novel murine ex vivo skin explant model to investigate early events in HSV-1 infection without causing significant tissue damage. To infect from the outside, via the apical keratinocytes, this method relies on gentle depilation, which maintains skin integrity. HSV-1 spread exclusively within the epidermis, with infection centers growing over time and involving hundreds of keratinocytes. Using advanced microscopy techniques, we tracked HSV-1 spread at the cellular level and intracellular assembly of all intermediate virus structures. This model offers a valuable tool for studying the initial stages of HSV-1 infection, assessing viral mutant phenotypes, and testing antiviral compounds in a more physiological context to provide critical insights into HSV-1 pathogenesis and therapeutic strategies.

microbiology↗

Deconvolution of the epigenetic age discloses distinct inter-personal variability in epigenetic aging patterns

BackgroundThe epigenetic age can now be extrapolated from one of several epigenetic clocks, which are based on age-related changes in DNA methylation levels at specific multiple CpG sites. Accelerated aging, calculated from the discrepancy between the chronological age and the epigenetic age, has shown to predict morbidity and mortality rate. We assumed that deconvolution of epigenetic age to its components could shed light on the diversity of epigenetic, and by inference, on inter-individual variability in the causes of biological aging. ResultsUsing the Horvath original epigenetic clock, we identified several CpG sites linked to distinct genes that quantitatively explain much of the interpersonal variability in epigenetic aging, with CpG sites related to secretagogin and malin being the most variable. We show that equal epigenetic age in different subjects can result from variable contribution size of the same CpG sites to the total epigenetic age. In a healthy cohort, the most variable CpG sites are responsible for accelerated and decelerated epigenetic aging, relative to chronological age. ConclusionsOf the 353 CpG sites that form the basis for the Horvath epigenetic age, we have found the CpG sites that are responsible for accelerated and decelerated epigenetic aging in healthy subjects. However, the relative contribution of each site to aging varies between individuals, leading to variable personal aging patterns. Our findings pave the way to form personalized aging cards allowing the identification of specific genes related to CpG sites, as aging markers, and perhaps treatment of these targets in order to hinder undesirable age drifting.

developmental biology↗

Dopamine modulates learning-related changes in dynamic striatal-cortical connectivity in Parkinson’s disease

Learning from reinforcement is thought to depend on striatal dopamine inputs, which serve to update the value of actions by modifying connections in widespread cortico-striatal circuits. While considerable research has described the activity of individual striatal and midbrain regions in reinforcement learning, the broader role for dopamine in modulating network-level processes has been difficult to decipher. To examine whether dopamine modulates circuit-level dynamic connectivity during learning, we characterized the effects of dopamine on learning-related dynamic functional connectivity estimated from fMRI data acquired in patients with Parkinsons disease. Patients with Parkinsons disease have severe dopamine depletion in the striatum and are treated with dopamine replacement drugs, providing an opportunity to compare learning and network dynamics when patients are in a low dopamine state (off drugs) versus a high dopamine state (on drugs). We assessed the relationship between dopamine and dynamic connectivity while patients performed a probabilistic reversal learning task. We found that reversal learning altered dynamic network flexibility in the striatum and that this effect was dependent on dopaminergic state. We also found that dopamine modulated changes in connectivity between the striatum and specific task-relevant visual areas of inferior temporal cortex, providing empirical support for theories stipulating that value is updated through changes in cortico-striatal circuits. These results suggest that dopamine exerts a widespread effect on neural circuitry and network dynamics during reinforcement learning.

neuroscience↗