Biology subjects

McKenzie, R. E.

Publications and source records attributed to McKenzie, R. E..

6 recordsLinked to original sources

bioRxiv2026

Optimization of a liver Trm cell-inducing mRNA vaccine by reduction of type I interferon response

CD8+ tissue-resident memory T cells provide rapid frontline protection at pathogen invasion sites, making them attractive targets for vaccine-mediated immunity. We previously developed an NKT cell-adjuvanted mRNA lipoplex vaccine capable of inducing liver Trm cells and sterile protection against malaria in mice. Here, we show that type I interferon (IFN-I) signalling through dendritic cells -- not T cells -- is a key brake on liver Trm induction by this vaccine. Optimising mRNA manufacturing to reduce immunostimulatory contaminants substantially dampened IFN-I production, boosted antigen expression in the lymphoid tissues, and drove significantly greater Trm accumulation. These enhanced responses translated into superior protection against parasite challenge. Our findings identify DC-intrinsic IFN-I signalling as a tractable target, and mRNA manufacturing quality as a critical and underappreciated lever, for maximising Trm-based vaccine efficacy.

immunology↗

bioRxiv2026

Engineering antigenic breadth against SARS-CoV-2 by pairing divergent RBDs within a single mRNA immunogen

Vaccines capable of eliciting broadly neutralising antibodies (bnAbs) are a major goal for pandemic preparedness. A persistent challenge across vaccine Wields is how to deliberately recruit the rare B cell clones that recognise conserved epitopes shared across diverse viral variants. BnAbs have been known to frequently emerge through extensive somatic hypermutation during afWinity maturation, here we describe an alternative, structure-driven mechanism for bnAb selection. We designed an mRNA vaccine in which two antigenically distinct SARS-CoV-2 variants (Omicron and Delta; O-{Delta}) receptor binding domains (RBDs) are physically fused on a single polypeptide. This design is predicted to favour B cell antigen receptors capable of engaging conserved epitopes on both RBDs with enhanced avidity. A matched non-divergent tandem RBD (Delta-Delta; {Delta}-{Delta}) served as a control. The divergent (O-{Delta}) immunogen was robustly expressed and retained high-afWinity ACE2 binding. In mice, immunisation elicited potent antibody responses and increased the frequency of antigen-speciWic cross-reactive B cells, recognising Delta, Omicron, and the 2002 pandemic strain SARS-CoV RBDs. Using multicolour RBD tetramers and single-cell B cell receptor sequencing, we show that breadth arises via two distinct pathways. The divergent vaccine preferentially enriches clonally distinct cross-reactive B cells (not present within non-cross-reactive B cell pools) with low levels of somatic hypermutation (SHM), consistent with selection of germline-biased precursors. In contrast, the matched control vaccine yields cross-reactivity primarily within existing clonal lineages (clonal overlap between cross-reactive and non-cross-reactive cells) and at higher mutational burdens, consistent with afWinity-maturation-driven acquisition of breadth. Together, these Windings demonstrate that antigen structure can bias B cell selection towards cross-reactive speciWicities without requiring extensive SHM. This work establishes a simple, modular antigen-design principle in which juxtaposing appropriately divergent antigens on a single scaffold promotes the enrichment of bnAb-prone B cells, providing a scalable strategy for vaccine development against rapidly evolving pathogens.

immunology↗

bioRxiv2024

Testing the causal impact of amyloidosis on total Tau using a genetically informative sample of adult male twins.

INTRODUCTIONThe amyloid cascade hypothesis predicts that amyloid-beta (A{beta}) aggregation drives tau tangle accumulation. We tested competing causal and non-causal hypotheses regarding the direction of causation between A{beta}40 and A{beta}42 and total Tau (t-Tau) plasma biomarkers. METHODSPlasma A{beta}40, A{beta}42, t-Tau, and neurofilament light chain (NFL) were measured in 1,035 men (mean = 67.0 years) using Simoa immunoassays. Genetically informative twin modeling tested the direction of causation between A{beta}s and t-Tau. RESULTSNo clear evidence that A{beta}40 or A{beta}42 directly causes changes in t-Tau was observed; the alternative causal hypotheses also fit the data well. In contrast, exploratory analyses suggested a causal impact of the A{beta} biomarkers on NFL. Separately, reciprocal causation was observed between t-Tau and NFL. DISCUSSIONPlasma A{beta}40 or A{beta}42 do not appear to have a direct causal impact on t-Tau. In contrast, A{beta} aggregation may causally impact NFL in cognitively unimpaired men in their late 60s.

pathology↗

bioRxiv2022

The genetic and environmental etiology of blood-based biomarkers related to the risks of Alzheimer's Disease in a population-based sample of early old age men

The amyloid-tau-neurodegeneration (ATN) framework has led to an increased focus on Alzheimers disease (AD) biomarkers. The cost and invasiveness of obtaining biomarkers via cerebrospinal fluid has motivated efforts to develop sensitive blood-based biomarkers. Although AD is highly heritable, the biometric genetic and environmental etiology of blood-based biomarkers has never been explored. We therefore, analyzed plasma beta-amyloid (A{beta}40, A{beta}42, A{beta}42/40), total tautau (t-tautau), and neurofilament light (NFL) biomarkers in a sample of 1,050 men aged 60 to 73 years (m=68.2, SD=2.5) from the Vietnam Era Twin Study of Aging (VETSA). Unlike A{beta} and tautau, NFL does not define AD; however, as a biomarker of neurodegeneration it serves as the N component in the ATN framework. Univariate estimates suggest that familial aggregation in A{beta}42, A{beta}42/40, t-tau, and NFL is entirely explained by additive genetic influences accounting for 40%-58% of the total variance. All remaining variance is associated with unshared or unique environmental influences. For A{beta}40, a additive genetic (31%), shared environmental (44%), and unshared environmental (25%) influences contribute to the total variance. In the more powerful multivariate analysis of A{beta}42, A{beta}40, t-tau, and NFL, heritability estimates range from 32% to 58%. A{beta}40 and A{beta}42 are statistically genetically identical (rg = 1.00, 95%CI = 0.92,1.00) and are also moderately environmentally correlated (re = 0.66, 95%CI = 0.59, 0.73). All other genetic and environmental associations were non-significant or small. Our results suggest that plasma biomarkers are heritable and that A{beta}40 and A{beta}42 share the same genetic influences, whereas the genetic influences on plasma t-tau and NFL are mostly unique and uncorrelated with plasma A{beta} in early old-age men.

genetics↗

bioRxiv2021

The genetic etiology of longitudinal measures of predicted brain ageing in a population-based sample of mid to late-age males

Magnetic resonance imaging data are being used in statistical models to predicted brain ageing (PBA) and as biomarkers for neurodegenerative diseases such as Alzheimers Disease. Despite their increasing application, the genetic and environmental etiology of global PBA indices is unknown. Likewise, the degree to which genetic influences in PBA are longitudinally stable and how PBA changes over time are also unknown. We analyzed data from 734 men from the Vietnam Era Twin Study of Aging with repeated MRI assessments between the ages 52 to 72 years. Biometrical genetic analyses twin models revealed significant and highly correlated estimates of additive genetic heritability ranging from 59% to 75%. Multivariate longitudinal modelling revealed that covariation between PBA at different timepoints could be explained by a single latent factor with 73% heritability. Our results suggest that genetic influences on PBA are detectable in midlife or earlier, are longitudinally very stable, and are largely explained by common genetic influences. HighlightsWe explored the genetic and environmental etiology of MRI-based predicted brain age (PBA) in a longitudinal sample of males starting in midlife. Genetic influences on PBA are detectable in midlife or earlier, are longitudinally very stable, and largely explained by common genetic influences.

genetics↗

bioRxiv2021

Single Cell Variability of CRISPR-Cas Interference and Adaptation

CRISPR-Cas defence is a combination of adaptation to new invaders by spacer acquisition, and interference by targeted nuclease activity. While these processes have been studied on a population level, the individual cellular variability has remained unknown. Here, using a microfluidic device combined with time-lapse microscopy, we monitor invader clearance in a population of Escherichia coli across multiple generations. We observed that CRISPR interference is fast with a narrow distribution of clearance times. In contrast, for invaders with escaping PAM mutations we show large cell-to-cell variability of clearance times, which originates from primed CRISPR adaptation. Faster growth and cell division, as well as higher levels of Cascade, increase the chance of clearance by interference. In contrast, faster growth is associated with decreased chances of clearance by priming. A mathematical model explains the experimental findings, and identifies Cascade binding to the mutated invader DNA, rather than spacer integration, as the main source of priming heterogeneity. The highly stochastic nature of primed CRISPR adaptation implies that only subpopulations of bacteria are able to respond to invading threats in a timely manner. We conjecture that CRISPR-Cas dynamics and heterogeneity at the cellular level are crucial to understanding the strategy of bacteria in their competition with other species and phages.

microbiology↗