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Kandaswamy, R.

Publications and source records attributed to Kandaswamy, R..

3 recordsLinked to original sources

Arachidonic acid availability controls neutrophil swarm initiation and scaling

Neutrophils are first responders of the vertebrate immune system. To efficiently converge on sites of injury and infection, neutrophils engage in a collective migration process known as swarming, in which a small number of activated cells generate amplified recruitment of hundreds to thousands of additional neutrophils. How neutrophils initiate, scale, and terminate these swarms is not well understood. Here we define key roles for the mechanosensitive phospholipase cPLA2 and its product, arachidonic acid (AA), in swarm initiation and scaling. We observe that swarm-initiating neutrophils satisfy the conditions for cPLA2 activation through two coincident inputs: yeast-contact-mediated Ca2+ influx and nuclear stretch following cell spreading along fungal hyphae and clusters. This co-requirement for both chemical and physical features of pathogens may explain how neutrophils restrict swarming to insults that require collective action. We further demonstrate that AA release is necessary and sufficient for swarming and that AA levels regulate swarm magnitude. We propose that neutrophils share AA across multiple yeastengaged cells to collectively assess infection magnitude. Because calcium influx, nuclear deformation, and cPLA2-mediated AA generation are also features of sterile-injury inflammatory responses, our findings suggest a unifying circuit for swarm regulation across injury and infection contexts.

cell biology↗

Epigenome-wide analysis reveals novel DNA methylation signatures significantly associated with the infant pupillary light reflex, a candidate intermediate phenotype for autism.

Autism is a highly heterogeneous neurodevelopmental condition, currently diagnosed based on behavioural characteristics. Candidate early intermediate phenotypes, such as the Pupillary Light Reflex (PLR), a reflexive constriction of the pupil in response to increased optical luminance, may provide insights into etiological factors and potential biomarkers, such as DNA methylation (DNAm), involved in the emergence of autism. We conducted epigenome-wide DNAm association analyses of 9-, 14-, 24-month PLR onset latency and constriction amplitude in a sample of 51 infants enriched for autism family history, using buccal DNA collected at 9-months. Our epigenome-wide analysis (EWAS) identified four stringently significant differentially methylated probes (p < 2.4 x 10-7) associated with cross-section PLR latency measurements at 14- and 24-months, and with 14-to 24-month PLR latency developmental change. Differentially methylated probes associated with PLR amplitude were identified, but at a less stringent discovery threshold (p < 5 x 10-5). Our region analyses identified several significant differentially methylated regions associated with both PLR latency and amplitude Downstream exploratory pathway analysis identified enrichment for multiple developmental biological processes, as well as several susceptibility genes to autism and related neurodevelopmental conditions including NR4A2, HNRNPU and NAV2. Our findings provide novel insight into the role of DNAm in PLR development and illuminate biological mechanisms underpinning altered PLR in infancy in emerging autism.

neuroscience↗

Predicting alcohol use from genome-wide polygenic scores, environmental factors, and their interactions in young adulthood

Alcohol use during emerging adulthood is associated with adverse life outcomes but its risk factors are not well known. Here, we predicted alcohol use in 3,153 young adults aged 22 years from (a) genome-wide polygenic scores (GPS) based on genome-wide association studies for the target phenotypes number of drinks per week and Alcohol Use Disorders Identification Test scores, (b) 30 environmental factors, and (c) their interactions (i.e., GxE effects). Data was collected from 1994 to 2018 as a part of the UK Twins Early Development Study. GPS accounted for up to 1.9% of the variance in alcohol use (i.e., Alcohol Use Disorders Identification Test score), while the 30 measures of environmental factors together accounted for 21.1%. The 30 GPS-environment interactions did not explain any additional variance and none of the interaction terms exceeded the significance threshold after correcting for multiple testing. Our findings suggest that GPS and environmental factors have primarily direct, additive effects rather than interacting systematically.

genetics↗