Biology subjects

Hernandez, C.

Publications and source records attributed to Hernandez, C..

At least 37 records · Page 2Linked to original sources

bioRxiv2023

Programmable delivery of fluoxetine via wearable bioelectronics for wound healing in vivo

The ability to deliver drugs with precise dosages at specific time points can significantly improve disease treatment while reducing side effects. Drug encapsulation for gradual delivery has opened up the doors for superior treatment regimen. To expand on this ability, programming bioelectronic devices to deliver small molecules enables ad-hoc personalized therapeutic profiles that are more complex than simple gradual release. Here, we introduce a wearable bioelectronic bandage with an integrated electrophoretic ion pump that affords on-demand drug delivery with precise dose control. Delivery of fluoxetine to wounds in mice resulted in a 27.2% decrease in the macrophage ratio (M1/M2) and a 39.9% increase in re-epithelialization, indicating a shorter inflammatory phase and faster overall healing. Programmable drug delivery using wearable bioelectronics in wounds introduces a broadly applicable strategy for the long-term delivery of a prescribed treatment regimen with minimal external intervention.

bioengineering↗

bioRxiv2023

Interferon epsilon restricts Zika virus infection in the female reproductive tract

Interferon {varepsilon} (IFN{varepsilon}) is a unique type I IFN that has been implicated in host defense against sexually transmitted infections (STIs). Zika virus (ZIKV), an emerging pathogen, can infect the female reproductive tract (FRT) and cause devastating diseases, particularly in pregnant women. How IFN{varepsilon} contributes to protection against ZIKV infection in vivo is unknown. Here, we show that IFN{varepsilon} plays a critical role in host protection against vaginal ZIKV infection in mice. We found that IFN{varepsilon} was expressed not only by epithelial cells in the FRT, but also by certain immune and other cells at baseline or after exposure to viruses or specific TLR agonists. IFN{varepsilon}-deficient mice exhibited abnormalities in the epithelial border and underlying tissue in the cervicovaginal tract, and these defects were associated with increased susceptibility to vaginal, but not subcutaneous ZIKV infection. IFN{varepsilon}-deficiency resulted in an increase in magnitude, duration, and depth of ZIKV infection in the FRT. Critically, intravaginal administration of recombinant IFN{varepsilon} protected Ifn{varepsilon}-/- mice and highly susceptible Ifnar1-/-mice against vaginal ZIKV infection, indicating that IFN{varepsilon} was sufficient to provide protection even in the absence of signals from other type I IFNs and in an IFNAR1-independent manner. Our findings reveal a potentially critical role for IFN{varepsilon} in mediating protection against transmission of ZIKV in the context of sexual contact. SignificanceInterferon {varepsilon} (IFN{varepsilon}), a unique Type I IFN that is highly expressed in the epithelium of the female reproductive tract (FRT), is thought to protect the host against sexually transmitted infections (STIs) but the mechanism of action is not defined. Zika virus (ZIKV), a causative agent for preterm birth and other severe diseases in pregnant women, can be spread through vaginal transmission. Here, we show that mice lacking the Ifn{varepsilon} gene have abnormal epithelial development and tissue architecture in the cervicovaginal tract. The role of IFN{varepsilon} in protecting host against ZIKV is FRT-specific and is independent of IFNAR1 signaling. Our findings suggest potential preventive strategies based on harnessing mucosal immunity against STIs.

immunology↗

bioRxiv2022

New insights from short and long reads sequencing to explore cytochrome b variants of Plasmopara viticola populations collected in vineyard and related to resistance to complex III inhibitors

Downy mildew is caused by Plasmopara viticola, an obligate oomycete plant pathogen, a devasting disease for grapevine. To preserve plants from the disease, complex III inhibitors are among the widely used fungicides that specifically target the mitochondrial cytochrome b (cytb) of the pathogen to block cellular respiration mechanisms. In French vineyard, P. viticola developed resistance against a first category of these fungicides, the Quinone outside inhibitors, by exhibiting a single amino acid substitution G143A in its cytb mitochondrial sequence. Their usage was restricted and another kind of fungicides, Quinone inside inhibitors, targeting the same gene and highly effective against oomycetes, were used instead. Recently however, less sensitive P. viticola populations were detected after treatments with some inhibitors, in particular ametoctradin and cyazofamid. By isolating resistant single-sporangia strains of P. viticola to these fungicides, we characterized new variants in cytb sequences associated with cyazofamid resistance: a point mutation (L201S) and more strikingly, two insertions (E203-DE-V204, E203-VE-V204). In parallel with classical tools, pyrosequencing and RT-PCR, we then benchmarked both short and long-reads NGS technologies (Ion Torrent, Illumina, Oxford Nanopore Technologies) to sequence the complete cytb with the prospect to detect and assess the proportion of resistant variants of P. viticola at a natural population scale. Eighteen populations collected from French vineyard fields in 2020 were analysed: 12 show a variable proportion of G143A, 11 of E203-DE-V204 and 7 populations of the S34L variant that confers resistance to ametoctradin. Interestingly, long reads were able to identify variants, including SNPs, with confidence and detect a small proportion of P. viticola showing several variants along the same cytb sequence. Altogether, NGS appear promising methods to evaluate pathogen resistance towards fungicides related to cytb modifications at a population scale in the field. This approach could be rapidly a robust decision-support management tool for vineyard in future.

evolutionary biology↗

bioRxiv2022

The Drosophila Fab-7 boundary element modulates Abd-B gene activity in the genital disc by guiding an inversion of collinear chromatin organization and alternative promoter use

Hox genes encode transcription factors that specify segmental identities along the Antero-Posterior body axis. These genes are organized in clusters, where their order corresponds to their activity along the body axis, an evolutionary conserved feature known as collinearity. In Drosophila, the BX-C cluster contains the three most posterior Hox genes, where their collinear activation incorporates progressive replacement of histone modifications, reorganization of 3D chromatin architecture and sequential activation of boundary elements and cis-regulatory regions. To dissect functional hierarchies, we compared chromatin organization in larvae and in cell lines, with a focus on the Abd-B gene. Our work establishes the importance of the Fab-7 boundary element for insulation between 3D domains marked by different histone modifications. Interestingly, we detected a non-canonical inversion of collinear chromatin dynamics at the Abd-B gene, with the active histone domain decreasing in size. This chromatin organization differentially instructed alternative Abd-B promoter use, thereby expanding the possibilities to regulate transcriptional output.

developmental biology↗

bioRxiv2022

Debugging and consolidating multiple synthetic chromosomes reveals combinatorial genetic interactions

The Sc2.0 project is building a eukaryotic synthetic genome from scratch, incorporating thousands of designer features. A major milestone has been achieved with the assembly of all individual Sc2.0 chromosomes. Here, we describe the consolidation of multiple synthetic chromosomes using endoreduplication intercross to generate a strain with 6.5 synthetic chromosomes. Genome-wide chromosome conformation capture and long-read direct RNA sequencing were performed on this strain to evaluate the effects of designer modifications, such as loxPsym site insertion, tRNA relocation, and intron deletion, on 3D chromosome organization and transcript isoform profiles. To precisely map "bugs", we developed a method, CRISPR Directed Biallelic URA3-assisted Genome Scan, or "CRISPR D-BUGS", exploiting directed mitotic recombination in heterozygous diploids. Using this method, we first fine-mapped a synII defect resulting from two loxPsym sites in the 3 UTR of SHM1. This approach was also used to map a combinatorial bug associated with synIII and synX, revealing a highly unexpected genetic interaction that links transcriptional regulation, inositol metabolism and tRNASerCGA abundance. "Starvation" for tRNASerCGA leads to insufficient levels of the key positive inositol biosynthesis regulator, Swi3, which contains tandem UCG codons. Finally, to expedite consolidation, we employed a new method, chromosome swapping, to incorporate the largest chromosome (synIV), thereby consolidating more than half of the Sc2.0 genome in a single strain.

genomics↗

bioRxiv2022

Conventional polymers may unintentionally refill in vivo with unassociated drugs

Polymers used as drug delivery devices are ultimately limited by how much drug they can hold; with the device failing if the drug is depleted before the disease is cured. Our lab discovered a means to use thermodynamic driving forces to refill certain classes of polymer after implantation, for additional drug delivery windows. These same, refillable polymers can be used as additives, to provide refilling capacity to classical, non-refillable polymers such as poly(methyl methacrylate) (PMMA). In this paper, we investigated the refilling capacity of another conventional polymer: poly(lactic-co-glycolic acid) or PLGA. We explored both unmodified PLGA implants as well as implants supplemented with polymerized cyclodextrin (pCD) in microparticle form, previously shown to add refillability to poly(methyl methacrylate) (PMMA) implants which were otherwise not refillable. Assessments of in situ forming PLGA implants with and without pCD additives were made, including drug loading capacity in a liquid medium, drug refilling through a tissue-mimicking gel medium, and refilling in ex vivo and in vivo conditions. Implant cross-sections were imaged via fluorescence microscopy. Drug release from refilled implants, polymer swelling, degradation, phase inversion characteristics were assessed, and drug/monomer computational simulation studies were performed. While generally, the incorporation of cyclodextrin into implants led to significant increases in the amount of refilled drug; unexpectedly, PLGA implants with no incorporated pCD also showed refilling capability. Moreover, in two out of three in vivo conditions in rats, PLGA alone showed the potential to refill with comparable, if not greater, amounts of drug than PLGA with pCD incorporated. This contrasts predictions, since PLGA has no specifically designed affinity structure, like pCD does. We theorize that the mechanism for PLGAs refilling depends on nano-patterning of hydrophilic and hydrophobic molecular domains, giving rise to its affinity-like behavior. The fact that PLGA implants can be refilled with unassociated drugs, gives rise to concerns about the fate of all implants made of poly alpha-hydroxy esters, and likely other polymers as well, and will likely lead to new directions of study such as of unintended polymer / drug interactions.

bioengineering↗

bioRxiv2021

Redox regulation of PTPN22 affects the severity of T cell dependent autoimmune inflammation

Chronic autoimmune diseases are associated with mutations in PTPN22, a modifier of T cell receptor signaling. As with all protein tyrosine phosphatases the activity of PTPN22 is redox regulated, but if or how such regulation can modulate inflammatory pathways in vivo is not known. To determine this, we created a mouse with a cysteine-to-serine mutation at position 129 in PTPN22 (C129S), a residue proposed to alter the redox regulatory properties of PTPN22 by forming a disulfide with the catalytic C227 residue. The C129S mutant mouse showed a stronger T cell-dependent inflammatory response and development of T cell dependent autoimmune arthritis due to enhanced TCR signaling and activation of T cells, an effect neutralized by a mutation in Ncf1, a component of the NOX2 complex. Activity assays with purified proteins suggest that the functional results can be explained by an increased sensitivity to oxidation of the C129S mutated PTPN22 protein. We also observed that the disulfide of native PTPN22 can be directly reduced by the thioredoxin system, while the C129S mutant lacking this disulfide was less amenable to reductive reactivation. In conclusion, we show that PTPN22 functionally interacts with Ncf1 and is regulated by oxidation via the non-catalytic C129 residue and oxidation-prone PTPN22 leads to increased severity in the development of T cell-dependent autoimmunity. Significance statementA hitherto unstudied aspect of PTPN22 biology is its regulation by cell redox states. Here we created a mouse model where PTPN22 was mutated to respond differentially to redox levels in vivo and found that PTPN22 function is regulated by reactive oxygen species and that redox regulation of PTPN22 impacts T-cell-dependent autoimmune inflammation.

immunology↗

bioRxiv2021

A poxvirus decapping enzyme localizes to mitochondria to regulate RNA metabolism and translation, and promote viral replication

Decapping enzymes remove the 5-cap of eukaryotic mRNA, leading to accelerated RNA decay. They are critical in regulating RNA homeostasis and play essential roles in many cellular and life processes. They are encoded in many organisms and viruses, including vaccinia virus, which was used as the vaccine to eradicate smallpox. Vaccinia virus encodes two decapping enzymes, D9 and D10, that are necessary for efficient viral replication and pathogenesis. However, the underlying molecular mechanism regulating vaccinia decapping enzymes function is still largely elusive. Here we demonstrated that vaccinia D10 localized almost exclusively to mitochondria that are highly mobile cellular organelles, providing an innovative mechanism to concentrate D10 locally and mobilize it to efficiently decap mRNAs. As mitochondria were barely present in "viral factories," where viral transcripts are produced, suggesting that mitochondrial localization provides a spatial mechanism to preferentially decap cellular mRNAs over viral mRNAs. We identified three amino acids responsible for D10s mitochondrial localization. Loss of mitochondrial localization significantly impaired viral replication, reduced D10s ability to resolve RNA 5-cap aggregation during infection, diminished D10s gene expression shutoff and mRNA translation promotion abilities. ImportanceDecapping enzymes comprise many members from various organisms ranging from plants, animals, and viruses. The mechanisms regulating their functions vary and are still largely unknown. Our study provides the first mitochondria-localized decapping enzyme, D10, encoded by vaccinia virus that was used as the vaccine to eradicate smallpox. Loss of mitochondrial localization significantly impaired viral replication and D10s gene expression shutoff and mRNA translation promotion ability. Mitochondrial localization is a spatial mechanism to concentrate D10 locally and mobilize it to efficiently and preferentially target cellular mRNAs for decapping and promote viral mRNA translation. Our results have broad impacts on understanding the functions and mechanisms of decapping enzymes.

microbiology↗

bioRxiv2021

Eoulsan 2: an efficient workflow manager for reproducible bulk, long-read and single-cell transcriptomics analyses

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSMotivationC_ST_ABSCore sequencing facilities produce huge amounts of sequencing data that need to be analysed with automated workflows to ensure reproducibility and traceability. Eoulsan is a versatile open-source workflow engine meeting the needs of core facilities, by automating the analysis of a large number of samples. Its core design separates the description of the workflow from the actual commands to be run. This originality simplifies its usage as the user does not need to handle code, while ensuring reproducibility. Eoulsan was initially developed for bulk RNA-seq data, but the transcriptomics applications have recently widened with the advent of long-read sequencing and single-cell technologies, calling for the development of new workflows. ResultWe present Eoulsan 2, a major update that (i) enhances the workflow manager itself, (ii) facilitates the development of new modules, and (iii) expands its applications to long reads RNA-seq (Oxford Nanopore Technologies) and scRNA-seq (Smart-seq2 and 10x Genomics). The workflow manager has been rewritten, with support for execution on a larger choice of computational infrastructure (workstations, Hadoop clusters, and various job schedulers for cluster usage). Eoulsan now facilitates the development of new modules, by reusing wrappers developed for the Galaxy platform, with support for container images (Docker or Singularity) packaging tools to execute. Finally, Eoulsan natively integrates novel modules for bulk RNA-seq, as well as others specifically designed for processing long read RNA-seq and scRNA-seq. Eoulsan 2 is distributed with ready-to-use workflows and companion tutorials. Availability and implementationEoulsan is implemented in Java, supported on Linux systems and distributed under the LGPL and CeCILL-C licenses at: http://outils.genomique.biologie.ens.fr/eoulsan/. The source code and sample workflows are available on GitHub: https://github.com/GenomicParisCentre/eoulsan. A GitHub repository for modules using the Galaxy tool XML syntax is further provided at: https://github.com/GenomicParisCentre/eoulsan-tools Contacteoulsan@bio.ens.psl.eu

bioinformatics↗

bioRxiv2021

Implementing QR Codes in Academia to Improve Sample Tracking, Data Accessibility, and Traceability in Multicampus Interdisciplinary Collaborations

With the growing number of multicampus interdisciplinary projects in academic institutions, there is an increasing need for tracking systems that make device and sample data and associated results instantly accessible to all collaborators involved. This need has become particularly salient with the COVID pandemic and consequent travel restrictions that have hampered in person meetings and laboratory visits. We report a Quick Response (QR) code tracking system that integrates project management tools for seamless communication and tracking of materials and devices between three manufacturing sites (cleanrooms) and six research laboratories across five universities. We use this system to track the design, fabrication, and quality control of bioelectronic devices (in the cleanroom and engineering laboratories), in vitro experimental results (in a biology laboratory), and in vivo testing (in the school of medicine). Setting up a tracking system for multisite interdisciplinary teams improves traceability, efficiency, and the quality of produced results making it easier to accomplish project milestones on a tight timeline. This tracking system is particularly useful to track device issues and ensure engineering device consistency when working with expensive biological samples in vitro and animals in vivo to reduce waste of biological and animal resources associated with device failure.

bioengineering↗

bioRxiv2021

Structural basis for backtracking by the SARS-CoV-2 replication-transcription complex

Backtracking, the reverse motion of the transcriptase enzyme on the nucleic acid template, is a universal regulatory feature of transcription in cellular organisms but its role in viruses is not established. Here we present evidence that backtracking extends into the viral realm, where backtracking by the SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) may aid viral transcription and replication. Structures of SARS-CoV-2 RdRp bound to the essential nsp13 helicase and RNA suggested the helicase facilitates backtracking. We use cryo-electron microscopy, RNA-protein crosslinking, and unbiased molecular dynamics simulations to characterize SARS-CoV-2 RdRp backtracking. The results establish that the single-stranded 3-segment of the product-RNA generated by backtracking extrudes through the RdRp NTP-entry tunnel, that a mismatched nucleotide at the product-RNA 3-end frays and enters the NTP-entry tunnel to initiate backtracking, and that nsp13 stimulates RdRp backtracking. Backtracking may aid proofreading, a crucial process for SARS-CoV-2 resistance against antivirals. Significance StatementThe COVID-19 pandemic is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 genome is replicated and transcribed by its RNA-dependent RNA polymerase (RdRp), which is the target for antivirals such as remdesivir. We use a combination of approaches to show that backtracking (backwards motion of the RdRp on the template RNA) is a feature of SARS-CoV-2 replication/transcription. Backtracking may play a critical role in proofreading, a crucial process for SARS-CoV-2 resistance against many antivirals.

biochemistry↗

bioRxiv2020

Computational verification of large logical models - application to the prediction of T cell response to checkpoint inhibitors

At the crossroad between biology and mathematical modelling, computational systems biology can contribute to a mechanistic understanding of high-level biological phenomenon. But as knowledge accumulates, the size and complexity of mathematical models increase, calling for the development of efficient dynamical analysis methods. Here, we propose the use of two approaches for the development and analysis of complex cellular network models. A first approach, called "model verification" and inspired by unitary testing in software development, enables the formalisation and automated verification of validation criteria for whole models or selected sub-parts. When combined with efficient analysis methods, this approach is suitable for continuous testing, thereby greatly facilitating model development. A second approach, called "value propagation", enables efficient analytical computation of the impact of specific environmental or genetic conditions on the dynamical behaviour of some models. We apply these two approaches to the delineation and the analysis of a comprehensive model for T cell activation, taking into account CTLA4 and PD-1 checkpoint inhibitory pathways. While model verification greatly eases the delineation of logical rules complying with a set of dynamical specifications, propagation provides interesting insights into the different potential of CTLA4 and PD-1 immunotherapies. Both methods are implemented and made available in the all-inclusive CoLoMoTo Docker image, while the different steps of the model analysis are fully reported in two companion interactive jupyter notebooks, thereby ensuring the reproduction of our results.

systems biology↗

bioRxiv2020

HUMAN PANCREATIC CANCER CELLS UNDERGO PROFOUND METABOLIC REPROGRAMMING TOWARDS CELLULAR STEMNESS AS ADAPTATION TO INHIBITION OF THE AKT PATHWAY

Cancer cells acquire resistance to cytotoxic therapies targeting major survival pathways by adapting their metabolism. The AKT pathway is a major regulator of human pancreatic adenocarcinoma progression. The mechanisms of adaptation to long-term silencing of AKT isoforms of pancreatic cancer cells were studied. Following silencing, cancer cells remained quiescent for long periods of time, after which they recovered proliferative capacities. Adaptation caused profound proteomic changes largely affecting mitochondrial biogenesis, energy metabolism, and acquisition of a number of distinct cancer stem cell (CSC) characteristics depending on the AKT isoform that was silenced. The adaptation to AKT1 silencing drove most de-differentiation and acquisition of stemness through C-MYC down-modulation and NANOG up-regulation, which were required for survival of adapted CSCs. The changes associated to adaptation sensitized cancer cells to inhibitors targeting regulators of oxidative respiration and mitochondrial biogenesis. In vivo pharmacological co-inhibition of AKT and mitochondrial metabolism effectively controlled pancreatic adenocarcinoma growth in pre-clinical models.

cancer biology↗

bioRxiv2020

Genome-wide locus sequence typing (GLST) of eukaryotic pathogens

Analysis of genetic polymorphism is a powerful tool for epidemiological surveillance and research. Powerful inference from pathogen genetic variation, however, is often restrained by limited access to representative target DNA, especially in the study of obligate parasitic species for which ex vivo culture is resource-intensive or bias-prone. Modern sequence capture methods enable pathogen genetic variation to be analyzed directly from vector/host material but are often too complex and expensive for resource-poor settings where infectious diseases prevail. This study proposes a simple, cost-effective genome-wide locus sequence typing (GLST) tool based on massive parallel amplification of information hotspots throughout the target pathogen genome. The multiplexed polymerase chain reaction amplifies hundreds of different, user-defined genetic targets in a single reaction tube, and subsequent agarose gel-based clean-up and barcoding completes library preparation at under 4 USD per sample. Approximately 100 libraries can be sequenced together in one Illumina MiSeq run. Our study generates a flexible GLST primer panel design workflow for Trypanosoma cruzi, the parasitic agent of Chagas disease. We successfully apply our 203-target GLST panel to direct, culture-free metagenomic extracts from triatomine vectors containing a minimum of 3.69 pg/l T. cruzi DNA and further elaborate on method performance by sequencing GLST libraries from T. cruzi reference clones representing discrete typing units (DTUs) TcI, TcIII, TcIV, and TcVI. The 780 SNP sites we identify in the sample set repeatably distinguish parasites infecting sympatric vectors and detect correlations between genetic and geographic distances at regional (< 150 km) as well as continental scales. The markers also clearly separate DTUs. We discuss the advantages, limitations and prospects of our method across a spectrum of epidemiological research.

genetics↗

bioRxiv2020

Deciphering and modelling the TGF-β signalling interplays specifying the dorsal-ventral axis of the sea urchin embryo.

During sea urchin development, secretion of Nodal and BMP2/4 ligands and their antagonists Lefty and Chordin from a ventral organizer region specifies the ventral and dorsal territories. This process relies on a complex interplay between the Nodal and BMP pathways through numerous regulatory circuits. To decipher the interplay between these pathways, we used a combination of treatments with recombinant Nodal and BMP2/4 proteins and a computational modelling approach. We assembled a logical model focusing on cell responses to signalling inputs along the dorsal-ventral axis, which was extended to cover ligand diffusion and enable multicellular simulations. Our model simulations accurately recapitulate gene expression in wild type embryos, accounting for the specification of ventral ectoderm, ciliary band and dorsal ectoderm. Our model simulations further recapitulate various morphant phenotypes, reveals a dominance of the BMP pathway over the Nodal pathway, and stresses the crucial impact of the rate of Smad activation in D/V patterning. These results emphasise the key role of the mutual antagonism between the Nodal and BMP2/4 pathways in driving early dorsal-ventral patterning of the sea urchin embryo. Summary StatementWe propose a predictive computational model of the regulatory network controlling the dorsal-ventral axis specification in sea urchin embryos, and highlight key features of Nodal and BMP antagonism.

developmental biology↗

bioRxiv2020

Benchmarking joint multi-omics dimensionality reduction approaches for cancer study

High-dimensional multi-omics data are now standard in biology. They can greatly enhance our understanding of biological systems when effectively integrated. To achieve this multi-omics data integration, Joint Dimensionality Reduction (jDR) methods are among the most efficient approaches. However, several jDR methods are available, urging the need for a comprehensive benchmark with practical guidelines. We performed a systematic evaluation of nine representative jDR methods using three complementary benchmarks. First, we evaluated their performances in retrieving ground-truth sample clustering from simulated multi-omics datasets. Second, we used TCGA cancer data to assess their strengths in predicting survival, clinical annotations and known pathways/biological processes. Finally, we assessed their classification of multi-omics single-cell data. From these in-depth comparisons, we observed that intNMF performs best in clustering, while MCIA offers a consistent and effective behavior across many contexts. The full code of this benchmark is implemented in a Jupyter notebook - multi-omics mix (momix) - to foster reproducibility, and support data producers, users and future developers.

bioinformatics↗

bioRxiv2019

Contrast-enhanced ultrasound with sub-micron sized contrast agents detects insulitis and beta-cell mass decline in mouse models of type 1 diabetes

Type 1 diabetes (T1D) is characterized by the infiltration of autoreactive T-cells into the islet of Langerhans, and depletion of insulin-secreting {beta}-cells. This immune cell infiltration (insulitis) first occurs during an asymptomatic phase of T1D that can take place many years prior to clinical diagnosis. Methods to diagnose insulitis and changes in {beta}-cell mass during this asymptomatic phase are limited, thus precluding early therapeutic intervention. While therapeutic treatments can delay T1D progression, treatment efficacy is limited and widely varying, and a method to track this efficacy is also lacking. During T1D progression, the islet microvasculature increases permeability as a result of insulitis, in both mouse models of T1D and humans with T1D. This increased permeability can allow nanoparticles, such as contrast agents for diagnostic imaging, to access the islet microenvironment. Contrast enhanced ultrasound (CEUS) uses shell-stabilized gas bubbles to provide high acoustic backscatter in vasculature and tissue and is clinically approved. A novel, sub-micron sized nanobubble (NB) ultrasound contrast agent has been developed and shown to extravasate and accumulate in tumors, where microvascular permeability is high. To test whether CEUS can be used to measure increased islet microvasculature permeability and indicate the asymptomatic phase of T1D, we applied CEUS measurements with NBs in pre-clinical T1D models. NOD mice and mice receiving an adoptive-transfer of diabetogenic splenocytes showed accumulation of NBs specifically within the pancreatic islets, and only in the presence of insulitis. This accumulation was measured by both ultrasound contrast and histological analysis, and accumulation only occurred for sub-micron sized bubbles. Importantly, accumulation was detected as early as 4w in NOD mice. Thus, CEUS with sub-micron sized NB contrast agent may provide a predicative marker for disease progression early in asymptomatic T1D, as well as monitoring of disease prevention or reversal.

bioengineering↗

bioRxiv2019

An altered metabolism could contribute to the low activation of neonatal CD8+T cells

A low response of neonatal T cells to infections contributes to a high incidence of morbidity and mortality of neonates. Here we evaluated the impact of the cytoplasmic and mitochondrial levels of Reactive Oxygen Species (ROS) of adult and neonatal CD8+T cells on their activation potential. We further constructed a logical model to decipher the interplay of metabolism and ROS on T cell signaling. Our model captures the interplay between antigen recognition, ROS and metabolic status in T cell responses. This model displays alternative stable states corresponding to different cell fates, i.e. quiescent, activated and anergic states, depending on ROS status. Stochastic simulations with this model further indicate that differences in ROS status at the cell population level tentatively explain the lower activation rate of neonatal compared to adult CD8+T cells upon TCR engagement.

immunology↗