Biology subjects

Johnston, S.

Publications and source records attributed to Johnston, S..

6 recordsLinked to original sources

bioRxiv2018

The impact of short- and long-range perception on population movements

Navigation of cells and organisms is typically achieved by detecting and processing orienteering cues. Occasionally, a cue may be assessed over a much larger range than the individuals body size, as in visual scanning for landmarks. In this paper we formulate models that account for orientation in response to short- or long-range cue evaluation. Starting from an underlying random walk movement model, where a generic cue is evaluated locally or nonlocally to determine a preferred direction, we state corresponding macroscopic partial differential equations to describe population movements. Under certain approximations, these models reduce to well-known local and nonlocal biological transport equations, including those of Keller-Segel type. We consider a case-study application: \"hilltopping\" in Lepidoptera and other insects, a phenomenon in which populations accumulate at summits to improve encounter/mating rates. Nonlocal responses are shown to efficiently filter out the natural noisiness (or roughness) of typical landscapes and allow the population to preferentially accumulate at a subset of hilltopping locations, in line with field studies. Moreover, according to the timescale of movement, optimal responses may occur for different perceptual ranges.

biophysics↗

bioRxiv2017

Detecting pathogen exposure during the non-symptomatic incubation period using physiological data

Early pathogen exposure detection allows better patient care and faster implementation of public health measures (patient isolation, contact tracing). Existing exposure detection most frequently relies on overt clinical symptoms, namely fever, during the infectious prodromal period. We have developed a robust machine learning based method to better detect asymptomatic states during the incubation period using subtle, sub-clinical physiological markers. Starting with high-resolution physiological waveform data from non-human primate studies of viral (Ebola, Marburg, Lassa, and Nipah viruses) and bacterial (Y. pestis) exposure, we processed the data to reduce short-term variability and normalize diurnal variations, then provided these to a supervised random forest classification algorithm and post-classifier declaration logic step to reduce false alarms. In most subjects detection is achieved well before the onset of fever; subject cross-validation across exposure studies (varying viruses, exposure routes, animal species, and target dose) lead to 51h mean early detection (at 0.93 area under the receiver-operating characteristic curve [AUCROC]). Evaluating the algorithm against entirely independent datasets for Lassa, Nipah, and Y. pestis exposures un-used in algorithm training and development yields a mean 51h early warning time (at AUCROC=0.95). We discuss which physiological indicators are most informative for early detection and options for extending this capability to limited datasets such as those available from wearable, non-invasive, ECG-based sensors.

physiology↗

bioRxiv2017

Dissemination of Cryptococcus neoformans via localised proliferation and blockage of blood vessels

Cryptococcus neoformans is an opportunistic fungal pathogen that can cause life-threatening cryptoccocal meningitis, predominantly within immunocompromised individuals. Cortical infarcts are observed in as many as 30% of cryptococcal meningitis cases, being particularly common in severe infection. Limited clinical case studies suggest infarcts are secondary to vasculitis and blood vessel damage caused by cryptococcal infection. However, the cause of infarcts in cryptococcal infection has not been determined. To examine potential causes of vascular damage and cryptococcal dissemination in cryptococcal infection, the zebrafish C. neoformans infection model was used. We demonstrate that spread of cryptococci from the vasculature occurs at sites where cryptococci grow within the blood vessels, originating from a single or small number of cryptococci. We find that cryptococcal cells become trapped within the vasculature and can proliferate there resulting in vasodilation. Localised cryptococcal growth in the vasculature is also associated with sites of dissemination - in some cases simultaneously with a loss of blood vessel integrity. Using a cell-cell junction protein reporter (VE-cadherin) we identified sites dissemination associated with both intact blood vessels and where vessel rupture occurred. Thus, we have identified a mechanism for blood vessel damage during cryptococcal infection that may represent a cause of the vascular damage and cortical infarction observed in cryptococcal meningitis.\n\nAuthor summaryHuman infection by the fungal pathogen, Cryptococcus neoformans, can lead to life-threatening cryptococcal meningitis. In severe cases of cryptococcal meningitis, a lack of blood supply can cause tissue death and a resulting area of dead tissue (infarct) in the brain. Although vasculature inflammation in known to occur in cryptococcal meningitis, the cause of infarcts in unknown. Using a zebrafish model of cryptococcal infection, the growth and dissemination of fungal cells was observed over time. We show that cryptococcal cells become trapped and proliferate in the vasculature, resulting in cryptococcoma that damage the blood vessels. We propose that vessel damage results from increased blood pressure caused by cryptococci blocking blood vessels suggesting that the vascular damage that ensues on cryptococcoma formation may in turn be a cause of infarct formation seen in cryptococcal meningitis.

microbiology↗

bioRxiv2017

A transgenic zebrafish model for the in vivo study of the blood and choroid plexus brain barriers using claudin 5

The central nervous system (CNS) has specific barriers that protect the brain from potential threats and tightly regulate molecular transport. Despite the critical functions of the CNS barriers, the mechanisms underlying their development and function are not well understood, and there are very limited experimental models for their study. Claudin 5 is a tight junction protein required for blood brain barrier (BBB) and choroid plexus (CP) barrier structure and function in humans. Here, we show that the gene claudin 5a is the zebrafish orthologue with high fidelity expression, in the BBB and CP barriers, that demonstrates the conservation of the BBB and CP between humans and zebrafish. Expression of claudin 5a correlates with developmental tightening of the BBB and is restricted to a subset of the brain vasculature clearly delineating the BBB. We show that claudin 5a expressing cells of the CP are ciliated ependymal cells that drive fluid flow in the brain ventricles. Finally, we find that CP development precedes BBB development and that claudin 5a expression occurs simultaneously with angiogenesis. Thus, our novel transgenic zebrafish represents an ideal model to study CNS barrier development and function, critical in understanding the mechanisms underlying CNS barrier function in health and disease.

developmental biology↗

bioRxiv2017

Mycophenolate Mofetil Increases Inflammation Resolution In Zebrafish Via Neutrophil Apoptosis

Mycophenolate mofetil (MMF) is an immunosuppressive agent used in the treatment of autoimmune and inflammatory conditions, and following organ transplant. MMF treatment results in lymphopenia via the depletion of purines required for DNA synthesis. While the primary effect of MMF treatment is thought to be via the depletion of lymphocytes, MMF has also been associated with innate immune defects, including neutropenia and neutrophil dysplasia. Here, we address the question of MMF specific effects on neutrophils in an in vivo model of neutrophil inflammation in zebrafish. We find that, following tissue injury, MMF increases resolution of neutrophilic inflammation via increased neutrophil apoptosis. Critically, we identify that the effect of MMF is distinct from DNA synthesis inhibition by using the competitive inhibitor of purine nucleotide incorporation, azathioprine. Therefore, we propose that increased neutrophil cell death during inflammatory insult may play a role in neutrophil defects associated with MMF treatment.

immunology↗

bioRxiv2017

Fungal derived 15-keto-prostaglandin E2 and host proliferator-activated receptor gamma (PPAR-γ) promote C. neoformans growth during infection.

Cryptococcus neoformans is one of the leading causes of invasive fungal infection in humans worldwide. C. neoformans uses macrophages as a proliferative niche to increase infective burden and avoid immune surveillance. However, the specific mechanisms by which C. neoformans manipulates host immunity to promote its growth during infection remain ill-defined. Here we demonstrate that eicosanoid lipid mediators manipulated and/or produced by C. neoformans play a key role in regulating pathogenesis. C. neoformans is known to secrete several eicosanoids that are highly similar to those found in vertebrate hosts. Using eicosanoid deficient cryptococcal mutants{Delta} plb1 and{Delta} lac1, we demonstrate that prostaglandin E2 is required by C. neoformans for proliferation within macrophages and in vivo during infection. Genetic and pharmacological disruption of host PGE2 synthesis is not required for promotion of cryptococcal growth by eicosanoid production. We find that PGE2 must be dehydrogenated into 15-keto-PGE2 to promote fungal growth, a finding that implicated the host nuclear receptor PPAR-{gamma}. C. neoformans infection of macrophages activates host PPAR-{gamma} and its inhibition is sufficient to abrogate the effect of 15-keto-PGE2 in promoting fungal growth during infection. Thus, we describe the first mechanism of reliance on pathogen-derived eicosanoids in fungal pathogenesis and the specific role of 15-keto-PGE2 and host PPAR-{gamma} in cryptococcosis. Author SummaryCryptococcus neoformans is an opportunistic fungal pathogen that is responsible for significant numbers of deaths in the immunocompromised population worldwide. Here we address whether eicosanoids produced by C. neoformans manipulate host innate immune cells during infection. Cryptococcus neoformans produces several eicosanoids that are notable for their similarity to vertebrate eicosanoids, it is therefore possible that fungal-derived eicosanoids may provoke physiological effects in the host. Using a combination of in vitro and in vivo infection models we identify a specific eicosanoid species - prostaglandin E2 - that is required by C. neoformans for growth during infection. We subsequently show that prostaglandin E2 must be converted to 15-keto-prostaglandin E2 within the host before it has these effects. Furthermore, we find that prostaglandin E2/15-keto-prostaglandin E2 mediated virulence is via activation of host PPAR-{gamma} - an intracellular eicosanoid receptor known to interact with 15-keto-PGE2.

microbiology↗