Biology subjects

Campbell, A.

Publications and source records attributed to Campbell, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Microbial communities in tropical soils are highly resilient to fluctuating redox conditions

Many wet tropical soils alternate frequently between fully oxygenated and anaerobic conditions, constraining the terminal electron acceptors available for microbial metabolism, and the mineral-organic matter interactions that regulate many aspects of soil carbon (C) cycling. However, it is still unclear how fluctuating soil redox conditions influence the microbial community composition and if microbially mediated C flux is sensitive to extended oxic or anoxic periods like those observed during drought and flooding respectively. Using a 44-day redox manipulation of tropical soils that experience daily-to-weekly oxygen (O2) fluctuations in the field, we measured how different redox regimes shape soil biogeochemistry and microbial and metabolite composition. Replicate microcosms were exposed to four treatments (static oxic, static anoxic, high frequency fluctuation (4 day oxic/4 day anoxic), or low frequency fluctuation (8 day oxic/4 day anoxic)) regimes, and harvested for microbial, metabolite, carbon dioxide (CO2) flux, and biogeochemical assays at multiple timepoints. Oxic and fluctuating redox conditions caused the microbial community to shift in a manner correlated with soil iron content and directly orthogonal to communities from anoxic soils. The identity of both iron oxidizers and iron reducers was distinct in static anoxic soils but was resilient to redox fluctuation and prolonged O2 exposure. The total amount of CO2 respired was similar across all four redox regimes. Water-extractable organic matter composition was distinct across redox treatments, with anoxic soils accumulating higher levels of carbohydrate-, proteins-, amino sugar-, and lignin-like compounds consistent with reduced enzymatic decomposition and release of mineral-associated organic matter via iron reduction, while oxic soils showed elevated lipid- and unsaturated hydrocarbon-like compounds indicative of greater microbial biomass turnover. The microbial community adapted to dynamic redox conditions and the results substantiate cycling of distinct C compounds under varying redox conditions resulting from varying bioavailability (driven by mineral-OM dynamics) and/or shifted microbial metabolism.

microbiology↗

bioRxiv2026

Stromal Prostaglandin is a Dominant Spatial Regulator of Cell-fate Plasticity in Colorectal Cancer

Colorectal cancer (CRC) tumours with high stromal content have a worse outcome, but the mechanisms governing this are unclear. Using high-throughput single-cell perturbation analysis of CRC patient-derived organoids (PDOs) and cancer-associated fibroblasts (CAFs) we find that epithelial cells with high stromal-communication potential are marked by the transcriptional co-repressor DACH1. To define the causal regulators of stromal-epithelial signalling, we developed a novel CRISPR screening platform to perturb the CAF secretome and measure epithelial stem cell responses at single-cell resolution. Intercellular CRISPR screening and full factorial ligand analysis revealed that stromal Prostaglandin E2 (PGE2) is a dominant regulator of CRC cell-fate plasticity. Stromal PGE2 converts DACH1+ epithelia from a chemosensitive proliferative colonic stem cell (proCSC) fate into a chemorefractory and prometastatic revival colonic stem cell (revCSC) fate. PGE2-driven epithelial transdetermination is rapid and reversible, providing an acute mechanism for stromal-driven plasticity in CRC tumours. Genetic and pharmacological inhibition of stromal COX2 inhibits epithelial plasticity, trapping CRC epithelia in an anti-metastatic and chemosensitive proCSC fate. PTGS2+ CAFs support a spatially resolved revCSC to proCSC plasticity gradient in human CRC tumours marked by increasing DACH1 expression. These results reveal that stromal prostaglandin is a dominant spatial regulator of poor-prognosis cell-fates and may explain the benefit of anti-COX therapies in both preventing and treating CRC.

cancer biology↗

bioRxiv2026

Glyphosate, a herbicide, and fosfomycin, an antibiotic in clinical use- evidence of common selectable genotypes

The emergence of antimicrobial resistance (AMR) is increasingly linked to metabolic adaptation, yet the evolutionary routes underlying cross-resistance between structurally related compounds remain poorly understood. Here, whole genome sequencing (WGS) was used to analyse Klebsiella pneumoniae mutants evolved under sub-lethal glyphosate (GLP) or fosfomycin (FOS) exposure to determine how these stresses shape resistance and physiology. Sub-lethal GLP exposure increased FOS resistance, demonstrating cross-resistance between the two phosphonates. FOS-evolved mutants achieved high-level resistance through the accumulation of multiple mutations affecting the antibiotic target MurA, transport systems, and global metabolic regulation, producing a layered FOS resistance phenotype. In contrast, GLP-evolved mutants acquired similar functional classes of mutations but exhibited lower baseline FOS resistance, suggesting trade-offs between resistance and metabolic fitness. Further, analysis of FOS-evolved and GLP-evolved mutants across known bacterial GLP resistance mechanisms demonstrated a strong overlap. Comparative genomic analysis revealed a small, recurrent set of genes under selection in both evolutionary trajectories, with identical genomic loci repeatedly targeted, consistent with convergent evolution. Many of these changes were linked to central metabolism, redox balance, and cell surface regulation. For some isolates, a hypermutator phenotype was necessary to offset the potentially lethal effects of primary-target mutations through compensatory genomic adaptation. In conclusion, GLP and FOS select for shared adaptive networks that couple metabolic rewiring with AMR, revealing cross-resistance as an emergent property of global physiological reprogramming and providing mechanistic insight into ecological models of co-selection in environmental systems. Importance statementGlyphosate is a herbicide in current use worldwide. Its impact on the susceptibility of bacteria to antibiotics, remains to be described. This manuscript details a critical phenotypic and genomic analysis of shared resistance mechanisms between glyphosate and the antibiotic fosfomycin. Using Klebsiella pneumoniae, a zoonotic pathogen, this manuscript demonstrates that evolutionary adaptation to either compound results in a substantial overlap in gene mutations. Crucially, this manuscript shows that exposure to sub-lethal concentrations of glyphosate can increase resistance to fosfomycin. These findings reveal a link between agricultural chemical use and the emergence of cross-resistance to fosfomycin. By highlighting how environmental factors drive antimicrobial resistance, this study underscores an urgent need for revision of food safety and regulatory frameworks to protect One Health. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=185 SRC="FIGDIR/small/725383v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@d44420org.highwire.dtl.DTLVardef@1c4a5d1org.highwire.dtl.DTLVardef@1624052org.highwire.dtl.DTLVardef@16d08d4_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2026

Acute Paternal Immune Activation Shapes Embryonic Development and Protects Offspring from Viral Infection

The evolutionary arms race between host and pathogen is traditionally framed as a multigenerational paradigm, where beneficial host immune adaptations accrue in a population over time through DNA sequence variation. If pathogens exposure alters epigenetic information inherited by offspring through paternal gametes, advantageous immune traits could emerge within a single generation. We show that acute paternal immune activation (PIA) induces immune signaling in the male reproductive tract and remodels the sperm small RNA profile. Using IVF, we show that altered sperm small RNAs from immune-activated males reprograms gene expression in preimplantation embryos, eliciting sex-specific transcriptional responses. This transcriptional program is reflected in a striking inherited phenotype, as male offspring sired by PIA males exhibit enhanced survival following lethal viral challenge. These findings identify sperm small RNAs as a molecular mechanism that links PIA to embryonic development and offspring immunity, providing a comprehensive framework for how PIA shapes inherited pathogen protection.

immunology↗

bioRxiv2026

Visual Cortical Response Variability in Infants at High Familial Likelihood for Autism

Visual processing undergoes rapid development in the first year of life, supporting the emergence of higher-order cognitive, language, and motor functions. Visual evoked potentials (VEPs) provide a non-invasive measure of visual system maturation that may shed light on heterogeneous developmental trajectories among infants at high familial likelihood for autism. Infants with an older sibling with autism spectrum disorder (N = 177 at 6 months; N = 132 at 12 months) participated in the Infant Brain Imaging Study-Early Prediction (IBIS-EP) study. Pattern-reversal VEPs were recorded at 6 and 12 months, and developmental skills were assessed at 24 months using the Bayley Scales of Infant and Toddler Development (Bayley-4). VEP components (P1 and N1) were characterized by their amplitude and latency, as well as trial-to-trial variability in these measures. Associations with 24-month cognitive, language, and motor scores were examined using general linear models controlling for age, site, sex, and trial count. Robust VEPs were observed at both time points, with age-appropriate morphology and expected developmental changes, including decreases in P1 latency and amplitude from 6 to 12 months. Greater trial-to-trial variability in P1 latency at both time points was associated with higher cognitive and language scores at 24 months. In contrast, conventional measures of mean P1 latency and amplitude were not associated with developmental outcomes. These findings suggest that temporal variability in early visual responses may index adaptive sensory-circuit flexibility during a period of rapid experience-dependent development. VEP response-timing variability may therefore provide an early mechanistic marker of sensory-circuit organization relevant to later developmental trajectories. Research HighlightsO_LIGreater trial-to-trial variability in visual cortical response timing was associated with higher cognitive and language scores in infants at high familial likelihood for autism. C_LIO_LIConventional average VEP measures were unrelated to outcomes, suggesting temporal variability may more sensitively capture relevant neural-circuit differences in this population. C_LIO_LIGreater variability in early visual responses may reflect adaptive sensory-circuit flexibility during a critical period of neurodevelopment. C_LIO_LIVEP response-timing measures provide an early mechanistic window into sensory-circuit organization and its relation to later developmental trajectories. C_LI

neuroscience↗

bioRxiv2025

Spatiotemporal-multimodal integration reveals BCG-induced skin-blood crosstalk

Tuberculosis (TB) remains the leading cause of infectious death. The Bacille Calmette-Guerin (BCG) vaccine has been the only licensed vaccine available for TB prevention. Despite BCG being administered intradermally for over a century to >100 million individuals annually, the molecular events in the skin following BCG administration have not been investigated; as a result, measurable correlates of protection that could predict vaccine effectiveness already early after vaccination are lacking. Here we show that BCG immediately (within one day after vaccination) induces dynamic molecular waves that drive the acute human host response across space (layers of the skin and systemically in blood) and time (days). Integration of this data across space and time identified robust networks of interactive modules related to immune surveillance (e.g. Langerhans cells), cell trafficking (e.g. endothelial cells, ITGB5), and trained immunity (e.g. neutrophils, macrophages, {gamma}{delta}-T cell). Importantly, not only were we able to identify BCG-activated pathways associated with trained immunity such as mTOR signaling and glycolysis/gluconeogenesis, we were able to pinpoint the time-point and precise location (skin layer) of the initial activation of theses pathways. Combining tissue biopsies of human skin (spatial genomics) with liquid biopsies (cell-free blood plasma RNASeq) following BCG vaccination our data both confirmed known evidence (e.g. prominent {gamma}{delta}-T cell induction at the site of BCG administration; negative correlation of blood vs tissue myeloid-derived suppressor cells), but also generated promising new leads such as baseline levels of B cells, platelets and nuocytes in the skin prior to BCG administration predict eventual outcome, and that these predictive differences in baseline cellular composition can be captured non-invasively using high resolution images of the site of injection (dermatoscopy). Given this data represents the first holistic view of the acute molecular response to BCG in the skin in a human population at medium to high TB risk, we anticipate our findings of the immediate/early events following BCG vaccination, including non-invasive predictive assessment will support acceleration of vaccine development in the fight against TB.

systems biology↗

bioRxiv2025

A blastocyst-derived in vitro model of the human chorion

The placenta supports the foetus by mediating nutrient and gas exchange, hormone production, and immune protection. Yet, human placental biology remains poorly understood due to limited in vitro models. The foetal part of the placenta, the chorion, consists of a trophoblast-derived layer and a mesenchymal zone containing extraembryonic mesoderm cells. Here, we show that human blastocysts can give rise to both trophoblast organoids and extraembryonic mesoderm cells under the same culture conditions. Trophoblast organoids originate from both outer trophoblast cells and inner cells of the blastocyst, while extraembryonic mesoderm cells derive exclusively from inner cells. These organoids recapitulate the cellular composition, morphology, and function of the in vivo trophoblast. Moreover, given the high rate of aneuploidy at the blastocyst stage, aneuploid trophoblast organoids can be readily generated. These models reflect the trophoblasts unique ability to tolerate aneuploidy and offer a valuable platform to study human placental development and pathophysiology.

developmental biology↗

bioRxiv2025

An Updated Polygenic Index Repository: Expanded Phenotypes, New Cohorts, and Improved Causal Inference

Polygenic indexes (PGIs) -- DNA-based predictors of individual phenotypes -- have become essential tools across biomedical and social sciences. We introduce Version 2 of the Polygenic Index Repository, which expands phenotype coverage from 47 to 61, increases the number of participating datasets from 11 to 20, and adopts a more consistent and improved methodology for PGI construction. For 16 phenotypes, we leverage summary statistics from an updated GWAS meta-analysis with greater statistical power compared to the original release, thereby improving the PGIs predictive power. To improve power for family-based analyses, we provide imputed parental PGIs in all datasets with first-degree relatives and offer a framework for interpreting results from analyses that control for parental PGIs. We illustrate the utility of parental PGIs using two applications: (1) comparing PGI associations with and without parental PGI controls for all phenotypes in two Repository datasets with family data, and (2) for BMI and diastolic blood pressure, exploring the contribution of causal versus non-causal components of PGI associations to the imperfect portability of PGIs across subgroups within a genetic ancestry. Collectively, the updates enhance predictive performance, broaden the Repositorys scope, and introduce novel resources that reduce confounding bias and improve interpretability.

genomics↗

bioRxiv2025

Separating direct, indirect and parent-of-origin genetic effects in the human population

Here, we present a novel approach to estimate the degree to which the phenotypic effect of a DNA locus is attributable to four components: alleles in the child (direct genetic effects), alleles in the mother and the father (indirect genetic effects), or is dependent upon the parent from which it is inherited (parent-of-origin, PofO effects). Applying our model, JODIE, to 30,000 child-mother-father trios with phased DNA information from the Estonian Biobank (EstBB) and the Norwegian Mother, Father, Child Cohort (MoBa), we jointly estimate the phenotypic variance attributable to these four effects unbiased of assortative mating (AM) for height, body mass index (BMI) and childhood educational test score (EA). For all three traits, direct effects make the largest contribution to the genetic effect variance. But we find that parental indirect genetic effects make an equivalent combined contribution, and that there is a non-zero PofO effect variance for all traits. We calculate the heritability that would be obtained at the populationlevel in the absence of AM for common DNA loci, and show that the proportional contribution of direct effects to these heritability values can be calculated as 64.0% for EA in MoBa, 77.1% and 63.4% for height in MoBa and EstBB, and 81.2% and 88.0% for BMI in MoBa and EstBB. Additionally, using within-family genome-wide association testing, we identify 276 independently associated DNA regions that replicate across two additional biobanks, which all show a genotype-phenotype relationship that reflects an interplay of direct, indirect and PofO effects. Determining how direct, parental and PofO genetic effects combine across loci genome-wide to influence human phenotypic variation requires joint modeling of parental and child genotypes alongside the parental origin of loci and here, we make the first attempt to do this in the human population.

genetics↗

bioRxiv2024

Scalable emulation of protein equilibrium ensembles with generative deep learning

Following the sequence and structure revolutions, predicting the dynamical mechanisms of proteins that implement biological function remains an outstanding scientific challenge. Several experimental techniques and molecular dynamics (MD) simulations can, in principle, determine conformational states, binding configurations and their probabilities, but suffer from low throughput. Here we develop a Biomolecular Emulator (BioEmu), a generative deep learning system that can generate thousands of statistically independent samples from the protein structure ensemble per hour on a single graphical processing unit. By leveraging novel training methods and vast data of protein structures, over 200 milliseconds of MD simulation, and experimental protein stabilities, BioEmus protein ensembles represent equilibrium in a range of challenging and practically relevant metrics. Qualitatively, BioEmu samples many functionally relevant conformational changes, ranging from formation of cryptic pockets, over unfolding of specific protein regions, to large-scale domain rearrangements. Quantitatively, BioEmu samples protein conformations with relative free energy errors around 1 kcal/mol, as validated against millisecond-timescale MD simulation and experimentally-measured protein stabilities. By simultaneously emulating structural ensembles and thermodynamic properties, BioEmu reveals mechanistic insights, such as the causes for fold destabilization of mutants, and can efficiently provide experimentally-testable hypotheses.

molecular biology↗

bioRxiv2024

Viral mimicry redirects immunosuppressed colorectal tumour landscapes towards a proinflammatory and CMS1-like regenerative state

In colorectal cancer (CRC), tumours classifier as consensus molecular subtype 4 (CMS4) have the worst prognosis and derive negligible benefit from chemotherapy. We previously described how repressed interferon-related signalling is associated with increased relapse in CMS4 tumours. Although the viral mimetic poly(I:C) can reduce liver metastasis in vivo, the initial phenotypic changes that underpin its anti-metastatic response remain poorly described, particularly in the immunosuppressed CMS4 tumour microenvironment. Here we characterise lineage-specific anti-metastatic responses induced by poly(I:C), including acute macrophage polarisation and a novel CMS1-like regenerative stem cell state, which drive pro-inflammatory microenvironmental changes in CRC. These insights enabled the development of tractable biomarkers that identify an "immune-warm" patient subset most likely to respond to poly(I:C), enriched for mismatch-repair proficient (pMMR), anti-inflammatory macrophages and CMS4-like features. The viral mimetic poly(I:C) offers a tailored treatment option for CMS4 tumours, by reprogramming stem cell states and activation of an innate-adaptive anti-metastatic response.

cancer biology↗

bioRxiv2024

Human gut commensal Alistipes timonensis modulates the host lipidome and delivers anti-inflammatory outer membrane vesicles to suppress colitis in an Il10-deficient mouse model

Correlative studies have linked human gut microbes to specific health conditions. Alistipes is one such microbial genus negatively linked to inflammatory bowel disease (IBD). However, the protective role of Alistipes in IBD is understudied, and the underlying molecular mechanisms remain unknown. In this study, colonization of Il10-deficient mice with Alistipes timonensis DSM 27924 delays colitis development. Colonization does not significantly alter the gut microbiome composition, but instead shifts the host plasma lipidome, increasing phosphatidic acids while decreasing triglycerides. Outer membrane vesicles (OMVs) derived from Alistipes are detected in the plasma of colonized mice, carrying potentially immunomodulatory metabolites into the host circulatory system. Fractions of A. timonensis OMVs suppress LPS-induced Il6, Il1b, and Tnfa expression in vitro in murine macrophages. We detect putative bioactive lipids in the OMVs, including immunomodulatory sulfonolipids (SoLs) in the active fraction, which are also increased in the blood of colonized mice. Treating Il10-deficient mice with purified SoL B, a representative SoL, suppresses colitis development, suggesting its contribution to the anti-inflammatory phenotype observed with A. timonensis colonization. Thus, A. timonensis OMVs represent a potential mechanism for Alistipes-mediated delay of colitis in Il10-deficient mice via delivery of immunomodulatory lipids and modulation of the host plasma lipidome.

biochemistry↗

bioRxiv2024

Discovery and Biosynthesis of Sulfenicin and Its New-to-Nature Acylsulfenic Acid Functional Group

Lifes organic molecules are built with diverse functional groups that enable biology by fine tuning intimate connections through time and space. As such, the discovery of new-to-nature functional groups can expand our understanding of the natural world and motivate new applications in biotechnology and biomedicine. Herein we report the genome-aided discovery of sulfenicin, a novel polyketide-nonribosomal peptide hybrid natural product from a marine Streptomyces bacterium bearing a unique acylsulfenic acid functionality. Through a series of heterologous biosynthesis, functional genetics, and enzymatic reconstitution experiments, we show that this previously described synthetic functional group is biologically assembled by a set of enzymes from both primary and secondary metabolism, including a novel flavin-dependent S-hydroxylase that hydroxylates a thiocarboxylic acids sulfur atom. While the sulfenicin biosynthetic gene cluster is presently without parallel in public databases, acylsulfenic acid-encoding enzymes are widely distributed in bacterial genomes, implying that this labile functional group may similarly have a broad distribution among specialized metabolites.

biochemistry↗

bioRxiv2024

MTALTCO1: a 259 amino acid long mtDNA-encoded alternative protein that challenges conventional understandings of mitochondrial genomics.

Mitochondrial alternative Open Reading Frames (ORFs) substantially broaden the functional scope traditionally attributed to mitochondrial DNA, encoding peptides and proteins that participate in diverse cellular processes. These newly identified ORFs are embedded within annotated sequences, both coding and non-coding, and reveal layers of overlapping genetic information. We here report the discovery of MTALTCO1, a 259 amino-acid protein, the longest mitochondrial alternative protein identified to date, encoded by an ORF located within the human cytochrome oxidase 1 gene, in the +3 reading frame. We confirm the expression and mitochondrial origin of MTALTCO1 through multiple independent lines of evidence, including a custom-designed antibody, mass spectrometry-derived peptides, sequence analysis, and inhibitors of mitochondrial expression. Despite encoding AGR codons as arginine, contrary to the prevailing view that these function as stop codons in the vertebrate mitochondrial genetic code, MTALTCO1 shows strong evidence of mitochondrial translation, challenging established models of mitochondrial codon usage and gene expression. Co-immunoprecipitations and pull-down assays delineate MTALTCO1s interaction landscape across major cellular pathways. Lastly, we present the first in-depth analysis of conservation for a mitochondrial alternative ORF overlapping a reference protein-coding gene and discuss the results in light of MTALTCO1s suggested role in protein scaffolding.

molecular biology↗

bioRxiv2024

Soil redox drives virus-host community dynamics and plant biomass degradation in tropical rainforest soils

BackgroundWet tropical forest soils store a vast amount of organic carbon and cycle over a third of terrestrial net primary production. The microbiomes of these soils have a global impact on greenhouse gases and tolerate a remarkably dynamic redox environment--driven by high availability of reductant, high soil moisture, and fine-textured soils that limit oxygen diffusion. Yet tropical soil microbiomes, particularly virus-host interactions, remain poorly characterized, and we have little understanding of how they will shape future soil carbon cycling as high-intensity drought and precipitation events make soil redox conditions less predictable. ResultsTo investigate the effects of shifting soil redox conditions on active viral communities and virus-microbe interactions, we conducted a 44-day redox manipulation experiment using soils from the Luquillo Experimental Forest, Puerto Rico, amended with 13C-enriched plant biomass. We sequenced 10 bulk metagenomes and 85 stable isotope probing targeted metagenomes generated by extracting whole community DNA, performing density fractionation, and conducting shotgun sequencing. Viral and microbial genomes were assembled resulting in 5,420 viral populations (vOTUs) and 927 medium-to-high-quality metagenome-assembled genomes across 25 bacterial phyla. Notably, over half (54%) of the vOTUs were 13C-enriched, highlighting their active role in microbial degradation of plant litter. These active vOTUs primarily infected bacterial phyla Pseudomonadota, Acidobacteriota, and Actinomycetota, and 57% were unique to a particular redox treatment. The anoxic samples exhibited the most distinct viral communities, with an increased potential for modulating host metabolism by carrying redox-specific glycoside hydrolases. However, over a third of the vOTUs were present in all redox conditions, suggesting selection for cosmopolitan viruses occurs in these soils that naturally experience dynamic redox conditions. ConclusionsOur study demonstrates how redox conditions shape viral communities and virus-host interactions in soils. By applying different DNA assembly methods on stable isotope probing targeted metagenomes and incubating soils under various redox regimes, we identified distinct viral populations and observed significant variations in viral community composition and function. These findings highlight the specialized roles of viruses in microbial carbon degradation under diverse environmental conditions, providing important insights into their contributions to carbon cycling and the broader implications for climate change.

microbiology↗

bioRxiv2024

The RNA helicase HrpA rescues collided ribosomes in E. coli

Although many antibiotics inhibit bacterial ribosomes, loss of known factors that rescue stalled ribosomes does not lead to robust antibiotic sensitivity in E. coli, suggesting the existence of additional mechanisms. Here, we show that the RNA helicase HrpA rescues stalled ribosomes in E. coli. Acting selectively on ribosomes that have collided, HrpA uses ATP hydrolysis to split stalled ribosomes into subunits. Cryo-EM structures reveal how HrpA simultaneously binds to two collided ribosomes, explaining its selectivity, and how its helicase module engages downstream mRNA, such that by exerting a pulling force on the mRNA, it would destabilize the stalled ribosome. These studies show that ribosome splitting is a conserved mechanism that allows proteobacteria to tolerate ribosome-targeting antibiotics.

molecular biology↗

bioRxiv2024

Human erythroid progenitors express antigen presentation machinery

Early-life immune exposures can profoundly impact lifelong health. However, functional mechanisms underlying fetal immune development remain incomplete. Erythrocytes are not typically considered active immune mediators, primarily because erythroid precursors discard their organelles as they mature, thus losing the ability to alter gene expression in response to stimuli. Erythroid progenitors and precursors circulate in human fetuses and neonates. Although there is limited evidence that erythroid precursors are immunomodulatory, our understanding of the underlying mechanisms remains inadequate. To define the immunobiological role of fetal and perinatal erythroid progenitors and precursors, we analyzed single cell RNA-sequencing data and found that transcriptomics support erythroid progenitors as putative immune mediators. Unexpectedly, we discovered that human erythroid progenitors constitutively express Major Histocompatibility Complex (MHC) class II antigen processing and presentation machinery, which are hallmarks of specialized antigen presenting immune cells. Furthermore, we demonstrate that erythroid progenitors internalize and cleave foreign proteins into peptide antigens. Unlike conventional antigen presenting cells, erythroid progenitors express atypical costimulatory molecules and immunoregulatory cytokines that direct the development of regulatory T cells, which are critical for establishing maternal-fetal tolerance. Expression of MHC II in definitive erythroid progenitors begins during the second trimester, coinciding with the appearance of mature T cells in the fetus, and is absent in primitive progenitors. Lastly, we demonstrate physical and molecular interaction potential of erythroid progenitors and T cells in the fetal liver. Our findings shed light on a unique orchestrator of fetal immunity and provide insight into the mechanisms by which erythroid cells contribute to host defense.

immunology↗

bioRxiv2023

A novel framework to build saliva-based DNA methylation biomarkers: quantifying systemic chronic inflammation as a case study

Accessible and non-invasive biomarkers that measure human ageing processes and the risk of developing age-related disease are paramount in preventative healthcare. In this study, we describe a novel framework to train saliva-based DNA methylation (DNAm) biomarkers that are reproducible and biologically interpretable. By leveraging a reliability dataset with replicates across tissues, we demonstrate that it is possible to transfer knowledge from blood DNAm data to saliva DNAm data using DNAm proxies of blood proteins (EpiScores). We then apply these methods to create a new saliva-based epigenetic clock (InflammAge) that quantifies systemic chronic inflammation (SCI) in humans. Using a large blood DNAm human cohort with linked electronic health records and over 18,000 individuals (Generation Scotland), we demonstrate that InflammAge significantly associates with all-cause mortality, disease outcomes, lifestyle factors and immunosenescence; in many cases outperforming the widely used SCI biomarker C-reactive protein (CRP). We propose that our biomarker discovery framework and InflammAge will be useful to improve our understanding of the molecular mechanisms underpinning human ageing and to assess the impact of gero-protective interventions.

bioinformatics↗