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Loomis, S.

Publications and source records attributed to Loomis, S..

4 recordsLinked to original sources

Longitudinal magnetic resonance imaging and spectroscopy in a mouse model of cuprizone-induced demyelination

The cuprizone (CPZ) lesioned mouse is a widely used model of demyelination and remyelination, but most studies rely on histology at terminal timepoints, limiting understanding of disease dynamics. Here, we present a longitudinal multimodal magnetic resonance imaging and spectroscopy (MRI/MRS) study of CPZ-induced pathology, pooling control arms from three independent experiments (n = 40). Mice were imaged at baseline, then exposed to 0.2% cuprizone for 5 weeks and repeatedly imaged at days 24, 35, 49, 63 and 77 after the start of CPZ. Imaging included multiparametric mapping (MPM), diffusion tensor imaging (DTI), tensor-based morphometry (TBM), and single-voxel MRS in the corpus callosum. Histology (MBP, silver, GFAP, Iba1) was performed at selected timepoints for validation. An additional group of 18 CPZ-lesioned mice were imaged ex vivo using a different higher resolution MRI protocol and compared against 19 non-CPZ controls. MPM-derived MTsat{delta} and R1 reductions indicated robust demyelination in the corpus callosum and deep cerebellar nuclei by day 24, expanding to cortex and hippocampus by day 35. Partial recovery was observed by day 77 but changes persisted, consistent with histological evidence. TBM revealed dynamic volumetric alterations, including hippocampal and cerebellar expansion alongside cortical and subcortical shrinkage, persisting beyond CPZ cessation. DTI demonstrated early (days 24-35) decreases in FA and MD, followed by complex trajectories consistent with microstructural disruption and partial repair. MRS detected early increases in GABA, glutamine, taurine, and glutathione, with corresponding decreases in NAA, while inositol showed a biphasic decrease-increase profile, likely reflecting acute astrocytic dysfunction followed by gliosis - neuroinflammatory processes that were corroborated by immunohistochemistry. Together, these results demonstrate that multimodal MRI/MRS sensitively captures widespread, dynamic, and only partially reversible pathology in CPZ-treated mice. Longitudinal imaging provides a non-invasive, translational approach to characterising demyelination, gliosis, and remyelination, offering a powerful alternative to histology for preclinical studies and longitudinal therapeutic screening.

neuroscience↗

An essential role for a discrete parasubthalamic nucleus subpopulation in appetite suppression

Food intake behavior is regulated by a network of appetite-inducing and appetite-suppressing neuronal populations throughout the brain. The parasubthalamic nucleus (PSTN), a relatively unexplored population of neurons in the posterior hypothalamus, has been hypothesized to regulate appetite due to its connectivity with other anorexigenic neuronal populations and because these neurons express Fos, a marker of neuronal activation, following a meal. However, the individual cell types that make up the PSTN are not well characterized, nor are their functional roles in food intake behavior. Here we identify and distinguish between two discrete PSTN subpopulations, those that express tachykinin-1 (PSTNTac1 neurons) and those that express corticotropin-releasing hormone (PSTNCRH neurons), and use a panel of genetically encoded tools in mice to show that PSTNTac1 neurons play an essential role in appetite suppression. Both subpopulations increase activity following a meal and in response to administration of the anorexigenic hormones amylin, cholecystokinin (CCK), and peptide YY (PYY). Interestingly, chemogenetic inhibition of PSTNTac1, but not PSTNCRH neurons, reduces the appetite-suppressing effects of these hormones. Consistently, optogenetic and chemogenetic stimulation of PSTNTac1 neurons, but not PSTNCRH neurons, is sufficient to reduce food intake in hungry mice. PSTNTac1 and PSTNCRH neurons project to distinct downstream brain regions, and stimulation of PSTNTac1 projections to individual anorexigenic populations reduces food consumption. Taken together, these results reveal the functional properties and projection patterns of distinct PSTN cell types and demonstrate an essential, anorexigenic role for PSTNTac1 neurons in the hormonal and central regulation of appetite.

neuroscience↗

A higher burden of multiple sclerosis genetic risk confers an earlier onset

Multiple sclerosis is a neurodegenerative, autoimmune disease characterized by inrreversible neurological disability. The age at onset of multiple sclerosis is an objective and influential predictor of the evolution of multiple sclerosis independent of disease duration. Little is known about the mechanisms contributing to variation in onset age of multiple sclerosis, though HLA-DRB1*15:01, the predominant risk variant, confers an earlier onset. Here we present an age at onset genome-wide association analysis for 9.2 million variants, including gene-based and pathway enrichment analyses, for 3,495 cases who were non-Latinx white with onset [&ge;]18 years. We investigated whether a higher burden of multiple sclerosis risk variants conferred an earlier age at onset for combinations of HLA-DRB1*15:01 alleles and quintiles of a genetic risk score for 200 risk variants that reside outside the major histocompatibility complex. The study population had a mean age at onset of 32 years, 29% was male, and 46% were HLA-DRB1*15:01 carriers. HLA-DRB1*15:01 carriers were on average one year younger at onset than non-carriers (p<0.001); a similar effect was observed for a 10-risk-allele increase in the genetic risk score (p<1x10-8). Those in the highest genetic risk score quintile (n=717) were on average 2.5 years younger at onset than those in the lowest quintile (n=698; p=1.2x10-7). For those with the greatest genetic risk burden (highest genetic risk score quintile with two HLA-DRB1*15:01 alleles) were on average five years younger at onset (p=0.002) than those with the lowest genetic risk burden (lowest genetic risk score quintile with no HLA-DRB1*15:01 alleles). There was an apparent inverse relationship between the genetic multiple sclerosis risk burden and age at onset of multiple sclerosis (p<5x10-8). We did not observe any individual variants reaching genome-wide significance in the genome-wide association analysis of age at onset. The most significantly associated independent genic loci (p<5x10-6) were located within HLA-DQB1, COL21A1, LINC01484, UBR3, and CSMD1. At the gene-level, the most significant associations (p<5x10-5) were for SSB, TRAFD1, HECTD2, MMP8, NAA25 and UBR3. There was an enrichment of genes involved in adaptive and innate immunity, specifically genes in the complement pathway, and genes involved in synapses and collagen biosynthesis. In summary, we demonstrated a significant gradient between elevated genetic risk burden and an earlier onset of multiple sclerosis.

genetics↗

A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts

The Nurses Health Study (NHS), Nurses Health Study II (NHSII), Health Professionals Follow Up Study (HPFS) and the Physicians Health Study (PHS) have collected detailed longitudinal data on multiple exposures and traits for approximately 310,000 study participants over the last 35 years. Over 160,000 study participants across the cohorts have donated a DNA sample and to date, 20,691 subjects have been genotyped as part of genome-wide association studies (GWAS) of twelve primary outcomes. However, these studies utilized six different GWAS arrays making it difficult to conduct analyses of secondary phenotypes or share controls across studies. To allow for secondary analyses of these data, we have created three new datasets merged by platform family and performed imputation using a common reference panel, the 1,000 Genomes Phase I release. Here, we describe the methodology behind the data merging and imputation and present imputation quality statistics and association results from two GWAS of secondary phenotypes (body mass index (BMI) and venous thromboembolism (VTE)).\n\nWe observed the strongest BMI association for the FTO SNP rs55872725 ({beta}=0.45, p=3.48x10-22), and using a significance level of p=0.05, we replicated 19 out of 32 known BMI SNPs. For VTE, we observed the strongest association for the rs2040445 SNP (OR=2.17, 95% CI: 1.79-2.63, p=2.70x10-15), located downstream of F5 and also observed significant associations for the known ABO and F11 regions. This pooled resource can be used to maximize power in GWAS of phenotypes collected across the cohorts and for studying gene-environment interactions as well as rare phenotypes and genotypes.

epidemiology↗