bioRxiv Science⌕ Search

Biology subjects

Shepherd, A.

Publications and source records attributed to Shepherd, A..

14 recordsLinked to original sources

Neural Activation of Human Primary Intestinal Enteroendocrine L-cells

Intestinal enteroendocrine L-cells play a central role in metabolic homeostasis by secreting the gut hormones GLP-1 and PYY, but whether and how neural signals regulate human L-cell function remains poorly understood. This gap reflects the limited availability of human model systems enriched for mature L-cells. Here, we establish a differentiation strategy that generates human donor-derived ileal organoids with markedly increased L-cell abundance, enabling functional interrogation of L-cell physiology in their basal state. Using this system, we show that cholinergic and adrenergic stimuli activate L-cells, triggering calcium influx and secretion of GLP-1 and PYY. Pharmacological analysis reveals that cholinergic regulation of human L-cells is mediated predominantly through M3 muscarinic receptors, while adrenergic regulation is mediated through the {beta}1 adrenergic receptor. Neurotransmitter-evoked activation also initiates gap junction-dependent calcium waves that propagate across the intestinal epithelium; however, disruption of epithelial coupling by abolishing calcium propagation does not impair hormone secretion. Together, these findings identify L-cells as integrative hubs that couple neural signals to gut hormone secretion and epithelial calcium waves, providing mechanistic insight into the gut-brain axis and how the nervous system regulates intestinal endocrine function in human intestine.

cell biology↗

Neurokinin 1 receptor blockade is associated with increased survival of patients with C. difficile infection

Clostridioides difficile is a major cause of healthcare associated infections. C. difficile infection (CDI) is a toxin-mediated disease driven by the secretion of two large protein toxins, Toxin A (TcdA) and Toxin B (TcdB). TcdA and TcdB cause neurogenic inflammation that can contribute to intestinal inflammation in rat and mouse models. Substance P (SP), a potent vasoactive neuropeptide, is a major contributor to C. difficile toxin induced inflammation in animal models. SP acts on multiple receptors including the high affinity receptor NK1-R, and lower affinity receptors (Mrgprb2 and NK2-R). Through in vivo mouse infection models, we confirmed the effects of SP in hypervirulent C. difficile are largely mediated by the neurokinin-1 receptor (NK1-R), the high affinity receptor for SP. Through genetic mice that lack mast cells (cKitW-sh) we determined that mast cells which respond to SP in certain kinds of neurogenic inflammation appear dispensable for inflammation caused by C. difficile infection. We explored the role of NK1-R antagonists in a retrospective study of a large clinical cohort. We determined that, after propensity matching, NK1-R antagonists were associated with a significant survival benefit and that patients treated with NK1-R antagonists showed evidence of reduced vascular inflammation (increased serum albumin). Together these data suggest blocking SP activity through antagonism of NK1-R with small molecule inhibitors may be a useful strategy for adjunctive treatment during C. difficile infection.

microbiology↗

Sparse Distributed Archetypes Reveal Compressible Network Motifs Underlying Naturalistic Cognition

Naturalistic cognition emerges from coordinated interactions among distributed brain systems operating across multiple representational scales. Characterizing this organization remains challenging because cognitively relevant information is embedded within high-dimensional neural activity. Here, we apply Multisubject Archetypal Analysis (MS-AA) [1] to naturalistic fMRI data collected during intact narrative listening, word-scrambled audio, and rest to investigate how condition-relevant information is distributed across archetypal representations. We examine both spatial and temporal formulations of MS-AA as complementary views of naturalistic brain activity. Across analyses, decoding performance consistently followed the hierarchy intact > word-scrambled > rest, indicating that archetypal representations preserve meaningful condition-related structure. Top-m decoding analyses further revealed that this information is highly compressible: relatively small subsets of archetypes frequently recovered substantial fractions of full-model decoding performance. Spatial AA exhibited a stable sparse-decoding regime that persisted across representational scales. Across a broad range of matched component ratios, approximately 5-15 archetypes consistently captured disproportionate amounts of condition-relevant information. These same sparse subsets also organized subjects into condition-aligned clusters more strongly than expected from random archetype subsets, with the strongest joint decoding-clustering effects occurring repeatedly within an intermediate representational regime (K {approx}50 - 88). Network over-representation analyses revealed that informative archetypes were not isolated canonical networks but distributed mixtures of interacting systems. Across the highest-performing decoding- clustering configurations, default mode and frontoparietal systems were consistently overrepresented relative to network size, whereas visual and limbic systems were underrepresented. Together, these findings suggest that the archetypal motifs most informative for distinguishing cognitive states are sparse, distributed subnetworks enriched for higher-order association systems. More broadly, the results demonstrate that MS-AA provides a useful framework for studying the compressibility, geometry, and multiscale organization of cognitive brain states.

neuroscience↗

EGFR INHIBITION PROMOTES ENTEROENDOCRINE CELL DIFFERENTIATION CONTRIBUTING TO TREATMENT-ASSOCIATED DIARRHEA

Enteroendocrine cells (EECs) are specialized sensors of the gastrointestinal (GI) epithelium that regulate gut function and systemic metabolism through hormone secretion. The molecular pathways directing intestinal stem cell (ISC) differentiation into EECs are incompletely understood due, in part, to their rarity. We sought to identify novel regulators of human EEC differentiation using a high-throughput screen of FDA-approved drugs and human duodenal organoids. Two epidermal growth factor receptor inhibitors (EGFRi) commonly used in cancer therapy and known to cause GI side effects, erlotinib and lapatinib, emerged as strong inducers of EEC differentiation, dramatically increasing chromogranin A (CHGA) expression compared to controls, while maintaining ISC function and organoid growth. EGFRi-treated organoids revealed robust and broad upregulation of EEC hormones, including serotonin (5HT), motilin (MLN), and somatostatin (SST), among others. In agreement with these findings, analysis of a patient cohort with lung cancer revealed an association with erlotinib use and increased circulating levels of the above EEC hormones compared to matched controls. Supporting a direct effect of EGFRi on EEC differentiation, mice treated with erlotinib demonstrated increased EEC numbers and hormones and showed EGFRi-associated diarrhea (EAD), a limiting side effect of these medications. Mechanistically, EGFRi induced upregulation of interferon (IFN) signaling targets during early ISC-to-EEC differentiation. Consistent with this, inhibition of Signal Transducer and Activator of Transcription 1 (STAT1) attenuated EGFRi-induced EEC differentiation. These findings provide important insight into EEC differentiation that could inform treatment strategies for EAD, metabolic diseases, and GI diseases. Brief SummaryInhibition of EGFR signaling promotes human ISC-to-EEC differentiation through activation of STAT1 signaling.

cell biology↗

A conserved mechanism for regulation of mtDNA copy number in eukaryotes

Mitochondrial mass and mitochondrial DNA (mtDNA) copy number are coupled to metabolic demand at the cellular, tissue and organismal level, however, the molecular basis for homeostatic regulation of mtDNA is not understood. Here we show that mitochondria and mtDNA copy number are regulated by compartmentalisation of iron-sulfur (Fe-S) clusters, glutathione and cysteine, a mechanism we exemplify in model systems ranging from plants to human cells. Using genome-wide CRISPR screens we discovered that the mitochondrial ABC-family transporter, ABCB7, is a negative regulator of mtDNA copy number. Partial silencing of ABCB7 in human cells increased mtDNA 2-3 fold, enhancing mitochondrial mass and function. ABCB7 silencing compelled co-incident mitochondrial accumulation and cytosolic depletion of Fe-S clusters, simultaneously engaging the cellular iron starvation response and stabilising the mitochondrial glutathione transporter, SLC25A39. Transport of glutathione from the cytosol into mitochondria was co-incident with mitochondrial cysteine accumulation and cytosolic cysteine depletion, which was necessary and sufficient to increase mtDNA copy number in an integrated stress response-dependent fashion, with induction of PGC1{beta} and ERR. Silencing or partial loss of function mutations in the ABCB7 homologs of D.melanogaster, S.cerevisiae and A. thaliana elicited similar increases of mtDNA within these organisms. These data reveal a fundamental metabolic logic coupling compartmentalisation of redox co-factors to organellar genome content; a conserved axis across eukaryotes that pre-dates several elements of the mtDNA replication machinery.

cell biology↗

Broadly Reactive Anti-VHH Antibodies for Characterizing, Blocking, or Activating Nanobody-Based CAR-T Cells

Production of chimeric antigen receptor T cell (CAR-T) therapies is dependent on the use of antibody reagents to label, isolate, and/or expand T cell products. We sought to create antibody-based tools that directly target the variable domain of heavy-chain only antibodies (VHH or nanobody) used in some CAR molecules. Two murine antibodies were identified which bind to distinct epitopes in the conserved framework regions of llama-derived VHHs, and not to human VH domains. We produced a high-quality dual-clonal anti-VHH antibody product which reacts with over 98% of VHH proteins, regardless of their antigenic specificity. Anti-VHH binding did not disrupt VHH/antigen interaction, and thus could be used for secondary labeling to assess cellular or tissue reactivity of VHH molecules. Despite not interfering with antigen binding, anti-VHH antibodies potently inhibited VHH-CAR function, blocking CAR-T activation and cytolytic killing of target cells. When immobilized, anti-VHH antibodies could also be applied for activation and expansion of VHH CAR-T cells, inducing 730-fold mean expansion, >94% CAR purity, with retained CD8/CD4 heterogeneity. Functionally, anti-VHH antibody-expanded CAR-T cells maintained strong antigen specific activity without functional exhaustion. Overall, these data identify a useful new tool for understanding and manipulating VHH-based CAR-T cells. Funding SourceThis work was funded by the National Research Council Canada Disruptive Technology Solutions Cell and Gene Therapy challenge program, and BioCanRx Declaration of interestsThe anti-VHH antibodies reported here are the subject of a provisional patent application by the National Research Council of Canada

immunology↗

Enteric glia regulate Paneth cell secretion and intestinal microbial ecology

Glial cells of the enteric nervous system (ENS) interact closely with the intestinal epithelium and secrete signals that influence epithelial cell proliferation and barrier formation in vitro. Whether these interactions are important in vivo, however, is unclear because previous studies reached conflicting conclusions [1]. To better define the roles of enteric glia in steady state regulation of the intestinal epithelium, we characterized the glia in closest proximity to epithelial cells and found that the majority express PLP1 in both mice and humans. To test their functions using an unbiased approach, we genetically depleted PLP1+ cells in mice and transcriptionally profiled the small and large intestines. Surprisingly, glial loss had minimal effects on transcriptional programs and the few identified changes varied along the gastrointestinal tract. In the ileum, where enteric glia had been considered most essential for epithelial integrity, glial depletion did not drastically alter epithelial gene expression but caused a modest enrichment in signatures of Paneth cells, a secretory cell type important for innate immunity. In the absence of PLP1+ glia, Paneth cell number was intact, but a subset appeared abnormal with irregular and heterogenous cytoplasmic granules, suggesting a secretory deficit. Consistent with this possibility, ileal explants from glial-depleted mice secreted less functional lysozyme than controls with corresponding effects on fecal microbial composition. Collectively, these data suggest that enteric glia do not exert broad effects on the intestinal epithelium but have an essential role in regulating Paneth cell function and gut microbial ecology.

neuroscience↗

A Simplified Function-First Method for the Discovery and Optimization of Bispecific Immune Engaging Antibodies

Bi-specific T-cell engager antibodies (BITEs) are synthetic soluble molecules derived from antibodies that induce active contact between T-cells and other target cells in the body. BITE therapeutics have shown great promise for the treatment of various forms of cancer; however, the current development process for BITEs is time consuming and costly. BITE development requires empirical testing and characterization of the individual antigen binding domains, followed by extensive engineering and optimization in bi-specific molecular format to generate a molecule with strong biological activity and appropriate characteristics for clinical development. Here, we sought to create a cost efficient high-throughput method for creating and evaluating BITEs using a simplified function first approach to identify bioactive molecules without purification. Using a plasmid with a modular structure to allow high efficiency exchange of either binder arm, we established a simple method to combine many novel tumour-targeting single chain variable (scFv) domains with the well-characterized OKT3 scFv CD3-targeting domain. After generating these novel plasmids, we demonstrate two systems for high throughput functional screening of BITE molecules based on Jurkat T cells (referred to as BITE-J). Using BITE-J we evaluate four EGFRvIII BITEs, identifying two constructs with superior activity. We then confirmed this activity in primary T cells, where novel EGFRvIII-BITEs induced T cell activation and antigen selective tumor killing. We also demonstrate that we can similarly exchange the CD3-interacting element of our bi-modular plasmid. By testing several novel CD3-targeting scFv elements for activity in EGFRvIII-targeted BITEs, we were able to identify highly active BITE molecules with desirable properties for downstream development. In summary, BITE-J presents a low cost, high-throughput method for the rapid assessment of novel BITE molecules without the need for purification and quantification.

immunology↗

RET Signaling Persists in the Adult Intestine and Stimulates Motility by Limiting PYY Release from Enteroendocrine Cells

Background & AimsRET receptor tyrosine kinase is necessary for enteric nervous system (ENS) development. Loss-of-function RET mutations cause Hirschsprung disease (HSCR), in which infants are born with aganglionic bowel. Despite surgical correction, HSCR patients often experience chronic defecatory dysfunction and enterocolitis, suggesting that RET is important after development. To test this hypothesis, we determined the location of postnatal RET and its significance in gastrointestinal (GI) motility. MethodsRetCFP/+ mice and human transcriptional profiling data were studied to identify the enteric neuronal and epithelial cells that express RET. To determine whether RET signaling in these cells regulates adult gut motility in vivo, genetic and pharmacologic approaches were used to disrupt RET in either all RET-expressing cells, a major subset of enteric neurons, or intestinal epithelial cells. ResultsDistinct subsets of enteric neurons and enteroendocrine cells expressed RET in the adult intestine. RET disruption in the intestinal epithelium, rather than in enteric neurons, slowed GI motility selectively in adult male mice. This effect was phenocopied by RET kinase inhibition. Most RET+ epithelial cells were either enterochromaffin cells that release serotonin (5-HT) or L-cells that release peptide YY (PYY), both of which can alter motility. RET kinase inhibition exaggerated PYY release in a nutrient-dependent manner without altering 5-HT secretion. PYY receptor blockade fully rescued dysmotility in mice lacking epithelial RET. ConclusionRET signaling normally limits nutrient-dependent PYY release from L-cells and this activity is necessary for normal intestinal motility in male mice. These effects could contribute to post-operative dysmotility in HSCR, which predominantly affects males, and uncovers a mechanism that could be targeted to treat post-prandial GI dysfunction. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=82 SRC="FIGDIR/small/488514v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@4c8e83org.highwire.dtl.DTLVardef@204d13org.highwire.dtl.DTLVardef@a429d8org.highwire.dtl.DTLVardef@1b75265_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Development of an Ocean Protein Portal for Interactive Discovery and Education

Proteins are critical in catalyzing chemical reactions, forming key cellular structures, and in regulating cellular processes. Investigation of marine microbial proteins by metaproteomics methods enables the discovery of numerous aspects of microbial biogeochemistry processes. However, these datasets present big-data challenges as they often involve many samples collected across broad geospatial and temporal scales, resulting in thousands of protein identifications, abundances, and corresponding annotation information. The Ocean Protein Portal (OPP) was created to enable data sharing and discovery among multiple scientific domains and serve both research and education functions. The portal focuses on three use case questions: "Where is my protein of interest?", "Who makes it?", and "How much is there?", and provides profile and section visualizations, real-time taxonomic analysis, and links to metadata, sequence analysis, and other external resources to enabling connections to be made between biogeochemical and proteomics datasets.

systems biology↗

METATRYP v 2.0: Metaproteomic Least Common Ancestor Analysis for Taxonomic Inference Using Specialized Sequence Assemblies - Standalone Software and Web Servers for Marine Microorganisms and Coronaviruses

We present METATRYP version-2 software that identifies shared peptides across organisms within environmental metaproteomics studies to enable accurate taxonomic attribution of peptides during protein inference. Improvements include: ingestion of complex sequence assembly data categories (metagenomic and metatranscriptomic assemblies, single cell amplified genomes, and metagenome assembled genomes), prediction of the Least Common Ancestor (LCA) for a peptide shared across multiple organisms, increased performance through updates to the backend architecture, and development of a web portal (https://metatryp.whoi.edu). Major expansion of the marine database confirms low occurrence of shared tryptic peptides among disparate marine microorganisms, implying tractability for targeted metaproteomics. METATRYP was designed for ocean metaproteomics and has been integrated into the Ocean Protein Portal (https://oceanproteinportal.org); however, it can be readily applied to other domains. We describe the rapid deployment of a coronavirus-specific web portal (https://metatryp-coronavirus.whoi.edu/) to aid in use of proteomics on coronavirus research during the ongoing pandemic. A Coronavirus-focused METATRYP database identified potential SARS-CoV-2 peptide biomarkers and indicated very few shared tryptic peptides between SARS-CoV-2 and other disparate taxa, sharing 0.1% peptides or less (1 peptide) with the Influenza A & B pan-proteomes, establishing that taxonomic specificity is achievable using tryptic peptide-based proteomic diagnostic approaches. Statement of significanceWhen assigning taxonomic attribution in bottom-up metaproteomics, the potential for shared tryptic peptides among organisms in mixed communities should be considered. The software program METATRYP v 2 and associated interactive web portals enables users to identify the frequency of shared tryptic peptides among taxonomic groups and evaluate the occurrence of specific tryptic peptides within complex communities. METATRYP facilitates phyloproteomic studies of taxonomic groups and supports the identification and evaluation of potential metaproteomic biomarkers.

genomics↗

Astrocytes improve neuronal health after cisplatin treatment through mitochondrial transfer.

Neurodegenerative disorders, including chemotherapy-induced cognitive impairment, are associated with neuronal mitochondrial dysfunction. Cisplatin, a commonly used chemotherapeutic, induces neuronal mitochondrial dysfunction in vivo and in vitro. Astrocytes are key players in supporting neuronal development, synaptogenesis, axonal growth, metabolism and, potentially, mitochondrial health. We tested the hypothesis that astrocytes transfer healthy mitochondria to neurons after cisplatin treatment to restore neuronal health. We used an in vitro system in which astrocytes containing mito-mCherry-labeled mitochondria were co-cultured with primary cortical neurons damaged by cisplatin. Culture of primary cortical neurons with cisplatin reduced neuronal survival and depolarized neuronal mitochondrial membrane potential. Cisplatin induced abnormalities in neuronal calcium dynamics characterized by increased resting calcium levels, reduced calcium responses to stimulation with KCl, and slower calcium clearance. The same dose of cisplatin that caused neuronal damage did not affect astrocyte survival or astrocytic mitochondrial respiration. Co-culture of cisplatin-treated neurons with astrocytes increased neuronal survival, restored neuronal mitochondrial membrane potential, and normalized neuronal calcium dynamics especially in those neurons that had received mitochondria from astrocytes. These beneficial effects of astrocytes were associated with transfer of mitochondria from astrocytes to cisplatin-treated neurons. The Rho-GTPase Miro-1 is known to contribute to mitochondrial motility and transfer. We show that siRNA-mediated knockdown of Miro-1 in astrocytes reduced mitochondrial transfer from astrocytes to neurons and prevented the normalization of neuronal calcium dynamics. In conclusion, we identified transfer of mitochondria from astrocytes to neurons damaged by cisplatin as an important repair mechanism to protect cortical neurons against the toxic effects of this chemotherapeutic. Significance statementChemotherapy-induced neurotoxicity is a serious health problem and little is known about the underlying mechanisms. Especially neurons are very sensitive to cisplatin treatment. We show that astrocytes can protect neurons damaged by cisplatin by improving neuronal survival, mitochondrial health, and calcium dynamics in vitro. This beneficial effect of astrocytes is dependent on the transfer of mitochondria from astrocytes to the damaged neurons. Our findings provide evidence for an important endogenous protective neuro-glial mechanism that could contribute to prevention of neuronal death as a result of cisplatin treatment and thereby aid in sustaining brain health of patients during chemotherapy.

neuroscience↗

Progressive impairments in executive function in the APP/PS1 model of Alzheimer’s disease as measured by translatable touchscreen testing

Executive function deficits in Alzheimers disease (AD) occur early in disease progression and may be predictive of cognitive decline. However, no preclinical studies have identified deficits in rewarded executive function in the commonly used APP/PS1 mouse model. To address this, we assessed 12-26 month old APP/PS1 mice on rewarded reversal and/or extinction tasks. 16-month-old, but not 13- or 26-month-old, APP/PS1 mice showed an attenuated rate of extinction. Reversal deficits were seen in 22-month-old, but not 13-month-old APP/PS1 animals. We then confirmed that impairments in reversal were unrelated to previously reported visual impairments in both AD mouse models and humans. Age, but not genotype, had a significant effect on markers of retinal health, indicating the deficits seen in APP/PS1 mice were directly related to cognition. This is the first characterisation of rewarded executive function in APP/PS1 mice, and has great potential to facilitate translation from preclinical models to the clinic.

animal behavior and cognition↗

sumrep: a summary statistic framework for immune receptor repertoire comparison and model validation

The adaptive immune system generates an incredible diversity of antigen receptors for B and T cells to keep dangerous pathogens at bay. The DNA sequences coding for these receptors arise by a complex recombination process followed by a series of productivity-based filters, as well as affinity maturation for B cells, giving considerable diversity to the circulating pool of receptor sequences. Although these datasets hold considerable promise for medical and public health applications, the complex structure of the resulting adaptive immune receptor repertoire sequencing (AIRR-seq) datasets makes analysis difficult. In this paper we introduce sumrep, an R package that efficiently performs a wide variety of repertoire summaries and comparisons, and show how sumrep can be used to perform model validation. We find that summaries vary in their ability to differentiate between datasets, although many are able to distinguish between covariates such as donor, timepoint, and cell type for BCR and TCR repertoires. We show that deletion and insertion lengths resulting from V(D)J recombination tend to be more discriminative characterizations of a repertoire than summaries that describe the amino acid composition of the CDR3 region. We also find that state-of-the-art generative models excel at recapitulating gene usage and recombination statistics in a given experimental repertoire, but struggle to capture many physiochemical properties of real repertoires.

immunology↗