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Morgan, P.

Publications and source records attributed to Morgan, P..

11 recordsLinked to original sources

Spatially resolved tumor-microenvironment architecture defines therapeutic response in unresectable hepatoblastoma

Background: Hepatoblastoma exhibits variable therapeutic response that is not fully explained by current risk stratification. While prior studies have characterized tumor composition, the role of spatial organization in determining outcome, particularly in unresectable disease requiring transplantation under immunosuppression, remains unclear. Methods: We integrated spatial transcriptomics using the 10x Genomics Visium platform (n = 11 tumors) with single-cell spatial molecular imaging using NanoString CosMx (n = 3 tumors) on post-chemotherapy explant specimens across clinically defined groups (relapse-prone unresectable, non-relapse unresectable, and resectable hepatoblastoma). Spatial deconvolution, module scoring, spatial co-localization, and cell-cell interaction analyses were used to define region-level transcriptional programs and their underlying cellular organization. Results: We identified three spatial architectures associated with clinical outcome. Relapse-prone tumors exhibited a centralized, TME-dominated organization enriched for progenitor-like, cycling, and stress-responsive tumor cell states co-localized with SPP1+ TAMs and CAFs, with enrichment of hypoxia response, extracellular matrix remodeling, and Midkine (MDK-LRP1) signaling. Non-relapse tumors displayed a distributed architecture with compartmentalized tumor-immune interactions, increased immune engagement, and preserved epithelial differentiation, including inflammatory hepatocyte-like states. Resection samples showed reduced tumor cell state heterogeneity and more uniform TME-immune organization. Conclusions: Integration of regional and single-cell spatial transcriptomics across two platforms reveals that the chemo-remodeled tumor architecture of hepatoblastoma encodes spatially organized tumor cell-TME interactions as central determinants of therapeutic response.

cancer biology↗

Targeting an allosteric binding site in the citrate transporter NaCT (SLC13A5)

The Na+-dependent citrate transporter NaCT (SLC13A5) is a key regulator of citrate homeostasis and has emerged as a therapeutic target for metabolic and neurological disease, including the SLC13A5 Epilepsy, a rare disease marked by severe sezures and neurodevelopmental delays. Current NaCT inhibitors are substrate-like molecules that competitively bind the substrate binding site. In this study, we identify previously unknown small molecule inhibitors of NaCT by targeting a putative allosteric site located at the dimer interface. We performed a virtual screen of 3.5 million compounds from the ZINC20 database against this site and selected 54 candidates for experimental testing using a cell-based citrate uptake assay. Through initial experiments, we identified three weak inhibitors, and subsequent evaluation of 26 structurally related analogs yielded six compounds with improved potency (IC50 = 12.78 M and 15.49 M). We then performed further analysis of the putative binding site by integrating structural data with deep mutational scanning evidence and comparisons with homolog structures. This analysis highlighted the importance of key residues (e.g., Phe362) in ligand modulation. These findings reveal a promising allosteric pocket and establish a chemically distinct series of NaCT inhibitors, providing a foundation for rational development of pharmacological modulators of NaCT function.

biophysics↗

Caspase-1 self-terminates protease activity to enforce homeostasis and prevent inflammasome-driven diseases

Signal shutdown mechanisms must exist to silence the potent inflammatory programs initiated by the caspase-1 (CASP1) protease, to allow inflammation to resolve and reinstate tissue homeostasis. It is unknown how CASP1 terminates its activity in vivo. Here, we use a knock-in mouse model in which the CASP1 CARD domain linker (CDL) is mutated to prevent self-cleavage (Casp1.CDL mice) to show that CASP1 CDL autoproteolysis terminates CASP1 activity in vivo. We examined these mice under homeostatic conditions and in response to major physiological challenges. In the brain, CASP1 CDL mutation caused anxiety-like behaviour under homeostatic conditions, and exacerbated hippocampal spatial learning deficits in the APP23 genetic model of amyloid-induced neurodegeneration. In the bone marrow, CASP1 CDL mutation promoted steady-state granulopoiesis. In a model of diet-induced liver disease, CASP1 CDL mutation accelerated liver steatosis and promoted liver immune cell infiltration, inflammation and damage. In a liver healing model, CASP1 CDL mutation delayed disease resolution, indicating that CASP1 autocleavage is required to restore homeostasis after a major challenge to organ function. Our data reveal that CASP1 CDL self-cleavage terminates CASP1 inflammatory programs in vivo to maintain homeostasis in steady-state, restore homeostasis after a major challenge to organ function, and suppress inflammasome-driven diseases. These data identify CASP1 as a prime anti-inflammatory drug target, as CASP1 inhibitors may enforce homeostasis and prevent inflammasome-driven diseases.

immunology↗

Transcriptomic analysis of the functions of CSF1R-dependent macrophages in postnatal development in the rat

Adaptation to existence outside the womb is a key event in the life of a mammal. The absence of macrophages in rats with a homozygous mutation in the Csf1r gene (Csf1rko) severely compromises pre-weaning somatic growth and maturation of organ function. Transfer of wild-type bone marrow cells (BMT) at weaning rescues tissue macrophage populations permitting normal development and long-term survival. To dissect the phenotype and function of macrophages in postnatal development, we generated transcriptomic profiles of all major organs of wild-type and Csf1rko rats at weaning and selected organs following rescue by BMT. The transcriptomic profiles revealed subtle effects of macrophage deficiency on development of all major organs. Network analysis revealed a common signature of CSF1R-dependent resident tissue macrophages that includes the components of complement C1Q (C1qa/b/c genes). Circulating C1Q was almost undetectable in Csf1rko rats and rapidly restored to normal levels following BMT. Tissue-specific macrophage signatures were also identified, notably including sinus macrophage populations in the lymph nodes. Their loss in Csf1rko rats was confirmed by immunohistochemical localisation of CD209B (SIGNR1). By 6-12 weeks, Csf1rko rats succumb to emphysema-like pathology associated with the selective loss of interstitial macrophages and granulocytosis. This pathology was reversed by BMT. Along with physiological rescue, BMT precisely regenerated the abundance and expression profiles of resident macrophages. The exception was the brain, where BM-derived microglia-like cells had a distinct expression profile compared to resident microglia. In addition, the transferred BM failed to restore blood monocyte or CSF1R-positive bone marrow progenitors. These studies provide a model for the pathology and treatment of CSF1R mutations in humans and the innate immune deficiency associated with prematurity.

immunology↗

IFNγ modestly contributes to disease progression in the Ndufs4(-/-) model of Leigh syndrome while IP10 is dispensable

Leigh syndrome (LS) is the most common pediatric presentation of genetic mitochondrial disease. LS is a multi-system disease characterized by severe neurologic and metabolic abnormalities. The defining feature of the disease is the presence of symmetric, bilateral, progressive necrotizing lesions in the brain stem, cerebellum, and basal ganglia. The pathogenic mechanisms underlying disease initiation and progression in LS have yet to be elucidated. Recent evidence demonstrates that the immune system plays a key role in LS pathogenesis. Treatment with the macrophage-depleting Csf1r inhibitor pexidartinib prevents disease in the Ndufs4(-/-) mouse model of LS, but the mechanisms leading to immune activation and governing disease progression remain to be elucidated. In recent work, the cytokines IFN{gamma} and IFN{gamma}-induced protein 10 (IP10) were found to be significantly elevated in Ndufs4(-/-) brainstem. Given their role as macrophage-activating factors, here we sought to assess the role of IFN{gamma} and IP10 in LS using by generating Ndufs4(-/-)/Ifng(-/-) and Ndufs4(-/-)/IP10(-/-) double knockout lines. We find that IP10 alone does not significantly impact the onset or progression of disease in the Ndufs4(-/-) model, while IFN{gamma} loss significantly, but modestly, improves survival. These data indicate that IFN{gamma} contributes to pathology, but that IFN{gamma} and IP10 are both dispensable for overall disease course of LS. Our findings support some role for IFN{gamma} targeting therapies in the management of mitochondrial disease, but suggest they may provide only modest benefits, at least in LS.

pathology↗

A resource for development and comparison of multi-modal brain 3T MRI harmonisation approaches

Despite the huge potential of magnetic resonance imaging (MRI) in mapping and exploring the brain, MRI measures can often be limited in their consistency, reproducibility and accuracy which subsequently restricts their quantifiability. Nuisance nonbiological factors, such as hardware, software, calibration differences between scanners, and post-processing options can contribute to, or drive trends in, neuroimaging features to an extent that interferes with biological variability. Such lack of consistency, known as lack of harmonisation, across neuroimaging datasets poses a great challenge for our capabilities in quantitative MRI. Here, we build a new resource for comprehensively mapping the extent of the problem and objectively evaluating neuroimaging harmonisation approaches. We use a travelling-heads paradigm consisting of multimodal MRI data of 10 travelling subjects, each scanned at 5 different sites on 6 different 3T scanners from all the 3 major vendors and using 5 neuroimaging modalities, providing more comprehensive coverage than before. We also acquire multiple within-scanner repeats for a subset of subjects, setting baselines for multi-modal scan-rescan variability. Having extracted hundreds of image-derived features, we compare three forms of variability: (i) between-scanner, (ii) within-scanner (within-subject), and (iii) biological (between-subject). We characterise the reliability of features across scanners and use our resource as a testbed to enable new investigations that until now have been relatively unexplored. Specifically, we identify optimal pipeline processing steps that minimise between-scanner variability in extracted features (implicit harmonisation). We also test the performance of post-processing harmonisation tools (explicit harmonisation) and specifically check their efficiency in reducing between-scanner variability against baseline standards provided by our data. Our explorations allow us to come up with good practice suggestions on processing steps and sets of features where results are more consistent, while our publicly-released datasets establish references for future studies in this field.

neuroscience↗

Ketamine induces multiple individually distinct whole-brain functional connectivity signatures

BackgroundKetamine has emerged as one of the most promising therapies for treatment-resistant depression. However, inter-individual variability in response to ketamine is still not well understood and it is unclear how ketamines molecular mechanisms connect to its neural and behavioral effects. MethodsWe conducted a double-blind placebo-controlled study in which 40 healthy participants received acute ketamine (initial bolus 0.23 mg/kg, continuous infusion 0.58 mg/kg/hour). We quantified resting-state functional connectivity via data-driven global brain connectivity, related it to individual ketamine-induced symptom variation, and compared it to cortical gene expression targets. ResultsWe found that: i) both the neural and behavioral effects of acute ketamine are multi-dimensional, reflecting robust inter-individual variability; ii) ketamines data-driven principal neural gradient effect matched somatostatin (SST) and parvalbumin (PVALB) cortical gene expression patterns in humans, implicating the role of SST and PVALB interneurons in ketamines acute effects; and iii) behavioral data-driven individual symptom variation mapped onto distinct neural gradients of ketamine, which were resolvable at the single-subject level. ConclusionsCollectively, these findings support the possibility for developing individually precise pharmacological biomarkers for treatment selection in psychiatry. FundingThis study was supported by NIH grants DP5OD012109-01 (A.A.), 1U01MH121766 (A.A.), R01MH112746 (J.D.M.), 5R01MH112189 (A.A.), 5R01MH108590 (A.A.), NIAAA grant 2P50AA012870-11 (A.A.); NSF NeuroNex grant 2015276 (J.D.M.); Brain and Behavior Research Foundation Young Investigator Award (A.A.); SFARI Pilot Award (J.D.M., A.A.); Heffter Research Institute (Grant No. 1-190420); Swiss Neuromatrix Foundation (Grant No. 2016-0111m Grant No. 2015 - 010); Swiss National Science Foundation under the frame-work of Neuron Cofund (Grant No. 01EW1908), Usona Institute (2015 - 2056).

neuroscience↗

Enhanced donor antigen presentation by B-cells predicts acute cellular rejection and late outcomes after transplantation.

PurposeEnhanced B-cell presentation of donor alloantigen relative to presentation of HLA-mismatched reference alloantigen is associated with acute cellular rejection (ACR), when expressed as a ratio called the antigen presenting index (API) in an exploratory cohort of liver and intestine transplant (LT, IT) recipients. MethodsTo test clinical performance, we measured the API using the previously described 6-hour assay in 84 LT and 54 IT with median age 3.3 years (0.05-23.96). Recipients experiencing ACR within 60 days after testing were termed rejectors. ResultsWe first confirmed that B-cell uptake and presentation of alloantigen induced and thus reflected the alloresponse of T-helper cells, which were incubated without and with cytochalasin and primaquine to inhibit antigen uptake and presentation, respectively. Transplant recipients included 76 males and 62 females. Rejectors were tested at median 3.6 days before diagnosis. The API was higher among rejectors compared with non-rejectors (2.2 {+/-} 0.2 vs 0.6 {+/-} 0.04, p-value=1.7E-09). In logistic regression and ROC analysis, API [&ge;] 1.1 achieved sensitivity, specificity, positive and negative predictive values for predicting ACR in 99 training set samples. Corresponding metrics ranged from 80-88% in 32 independent post-transplant samples, and 73-100% in 20 independent pre-transplant samples. In time-to-event analysis, API [&ge;] 1,1 predicted higher incidence of late DSA after API measurements in LT (p=0.011) and graft loss in IT recipients (p=0.008), compared with recipients with API<1.1, respectively. ConclusionEnhanced donor antigen presentation by circulating B-cells predicts rejection after liver or intestine transplantation as well as higher incidence of DSA and graft loss late after transplantation

immunology↗

Molecular Dynamics Reveals the Effects of Temperature on Critical SARS-CoV-2 Proteins

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a newly identified RNA virus that causes the serious infection Coronavirus Disease 2019 (COVID-19). The incidence of COVID-19 is still increasing worldwide despite the summer heat and cool winter. However, little is known about seasonal stability of SARS-CoV-2. Herein, we employ Molecular Dynamics (MD) simulations to explore the effect of temperature on four critical SARS-CoV-2 proteins. Our work demonstrates that the spike Receptor Binding Domain (RBD), Main protease (Mpro), and nonstructural protein 3 (macro X) possesses extreme thermos-stability when subjected to temperature variations rendering them attractive drug targets. Furthermore, our findings suggest that these four proteins are well adapted to habitable temperatures on earth and are largely insensitive to cold and warm climates. Furthermore, we report that the critical residues in SARS-CoV-2 RBD were less responsive to temperature variations as compared to the critical residues in SARS-CoV. As such, extreme summer and winter climates, and the transition between the two seasons, are expected to have a negligible effect on the stability of SARS-CoV-2 which will marginally suppress transmission rates until effective therapeutics are available world-wide.

bioinformatics↗

A novel mouse model expressing human forms for complement receptors CR1 and CR2

The complement cascade is increasingly implicated in development of a variety of diseases with strong immune contributions such as Alzheimers disease and Systemic Lupus Erythematosus. Mouse models have been used to determine function of central components of the complement cascade such as C1q and C3. However, species differences in their gene structures mean that mice do not adequately replicate human complement regulators, including CR1 and CR2. Genetic variation in CR1 and CR2 have been implicated in modifying disease states but the mechanisms are not known. To decipher the roles of human CR1 and CR2 in health and disease, we engineered C57BL/6J (B6) mice to replace endogenous murine Cr2 with human complement receptors, CR1 and CR2 (B6.CR2CR1). CR1 has an array of allotypes in human populations and using traditional recombination methods (Flp-frt and Cre-loxP) two of the most common alleles (referred to as CR1long and CR1short) are replicated within this mouse model, along with a CR1 knockout allele (CR1KO). Transcriptional profiling of spleens and brains identifies genes and pathways differentially expressed between mice homozygous for either CR1long, CR1short or CR1KO. Gene set enrichment analysis predicts hematopoietic cell number and cell infiltration are modulated by CR1long, but not CR1short or CR1KO. Therefore, this mouse model provides a novel tool for determining the relationship between human-relevant CR1 alleles and disease. Summary StatementWe present the creation and validation of a novel mouse model that expresses human forms of complement cascade regulators CR1 and CR2.

genetics↗

Gene-Based Analysis in HRC Imputed Genome Wide Association Data Identifies Three Novel Genes For Alzheimer’s Disease

A novel POLARIS gene-based analysis approach was employed to compute gene-based polygenic risk score (PRS) for all individuals in the latest HRC imputed GERAD (N cases=3,332 and N controls=9,832) data using the International Genomics of Alzheimers Project summary statistics (N cases=13,676 and N controls=27,322, excluding GERAD subjects) to identify the SNPs and weight their risk alleles for the PRS score. SNPs were assigned to known, protein coding genes using GENCODE (v19). SNPs are assigned using both 1) no window around the gene and 2) a window of 35kb upstream and 10kb downstream to include transcriptional regulatory elements. The overall association of a gene is determined using a logistic regression model, adjusting for population covariates.\n\nThree novel gene-wide significant genes were determined from the POLARIS gene-based analysis using a gene window; PPARGC1A, RORA and ZNF423. The ZNF423 gene resides in an Alzheimers disease (AD)-specific protein network which also includes other AD-related genes. The PPARGC1A gene has been linked to energy metabolism and the generation of amyloid beta plaques and the RORA has strong links with genes which are differentially expressed in the hippocampus. We also demonstrate no enrichment for genes in either loss of function intolerant or conserved noncoding sequence regions.

genetics↗