Biology subjects

Goldsmith, C.

Publications and source records attributed to Goldsmith, C..

9 recordsLinked to original sources

bioRxiv2026

Patterns of subcortical tissue iron levels across the lifespan measured with functional MRI

Iron is essential for neurophysiological health. Prior work has shown that subcortical tissue iron levels are the highest among all brain regions but also change over the lifespan. Recent functional MRI (fMRI) studies have provided evidence that an fMRI-derived iron-sensitive signal may index relative iron concentration in subcortical regions. In this context, we aimed to characterize the lifespan trajectory of this fMRI-derived iron-sensitive signal (relative iron quantification) in 10 subcortical regions and 14 thalamic nuclei from 881 healthy participants aged 12 to 88 years, using resting-state fMRI. Regressions were run with age as a predictor, separately for males (N = 429) and females (N = 452). The main results show non-linear effects of age, with an overall increase in iron levels across most subcortical regions within each sex. Six of the 14 thalamic nuclei in male participants had similar slopes of their lifespan iron levels, showing some homogeneity. The thalamic nuclei of female participants showed less agreement in slopes. This study provides new insight into the typical trajectory of iron levels across all major subcortical regions throughout the lifespan.

neuroscience↗

bioRxiv2025

Characterisation of CD4 Th subsets as well as dietary, exercise and lifestyle factors in an established Rheumatoid Arthritis cohort; pilot study.

BackgroundSex disparities in the incidence and severity of Rheumatoid Arthritis (RA) are well-documented, with females experiencing more aggressive disease and different responses to treatment. While underlying mechanisms remain elusive, immune factors and lifestyle components, such as diet and physical activity, could play a role in shaping disease outcomes. Since Th cells are key drivers of RA, this study characterised CD4 Th subset frequencies, including Th1, Th2, Th17 and Th1/17 cells, in a cohort of males and females with established RA. Considering the role of diet and lifestyle in RA development, we also evaluated participant diet and lifestyle patterns. MethodsAn observational cross-sectional cohort study profiling 39 individuals (19 RA and 20 age and sex matched controls) with no major co-morbidities was conducted. Percentages of Th1, Th2, Th17 and Th1/17 cells from peripheral blood were determined by flow cytometry as well as serum levels of RF and cytokines IL17, IFN-{gamma}, TNF-, GM-CSF, TGF-{beta}, IL-6, and CRP by ELISA. Dietary intake was assessed by Food Frequency Questionnaire (FFQ), the Dietary inflammatory Index (DII) calculated from nutrient intake. Physical activity levels were evaluated by Global Physical Activity Questionnaire (GPAQ). ResultsSex-specific differences of Th17, Th1 an Th2 cells were observed in RA groups. Males had lower levels of Th1 cells and higher levels of Th17 cells than control subjects, while females had lower levels of Th2 cells than controls. Female RA subjects had higher ratio of Th1:Th2 cells than controls, while male RA subjects had higher Th17:Th1 ratio than controls. Interestingly, circulating CD4 Th subset levels were predictive of RA in this cohort. No changes in cytokine levels were observed. The male RA group consumed 30% less carbohydrate (RA = 156g +/-57g, Control = 253g +/-59g; p=0.003), 37% less sugar (RA = 74.1g +/-29g, Control = 118g +/-33g; p=0.004) and 30% less dietary fibre (R = 33g +/-8g, Control = 48g +/-13 g; p=0.008) than the male control group. The female RA group had the lowest consumption of alcohol in comparison to female control group (RA = 0.31g, Control = 8.97g; p=0.047). Male subjects had a 4x higher DII than females (p=0.012). ConclusionsOur findings highlight potential sex-specific differences in CD4+ Th cell subsets in individuals with established RA, indicating that sex may influence immune cell composition in this disease. Furthermore, dietary components showed sex-specific consumption patterns, underscoring the potential role of tailored lifestyle interventions in modulating immune responses in RA. Evaluating immunological sex differences and dietary and lifestyle factors may be important for enhancing management strategies in RA.

immunology↗

bioRxiv2024

Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents

Adolescence is a critical period for neural changes, including maturation of the brains cognitive networks, but also a period of increased vulnerability to psychopathology. It is well accepted that the brain is functionally organized into multiple interacting networks and extensive literature has demonstrated that the spatial and functional organization of these networks shows major age-related changes across the lifespan, but particularly during adolescence. Yet, there is limited option for a reference functional brain atlas derived from typically developing adolescents, which is especially problematic as the reliable and reproducible identification of functional brain networks crucially depends on the use of such reference functional atlases. In this context, we utilized resting-state functional MRI data from a total of 1,391 typically developing youth between the ages of 8 and 17 years to create a new adolescent-specific reference atlas of functional brain networks. We further investigated the impact of age and sex on these networks. Using a multiscale individual component clustering algorithm (MICCA), we identified 24 reliable functional brain networks, classified within six domains: Default-Mode (5 networks), Control (4 networks), Salience (3 networks), Attention (4 networks), Somatomotor (5 networks), and Visual (3 networks). We identified reliable and large effects of age on the spatial topography of these majority of networks, as well as on the functional network connectivity (FNC) between networks. The DMN showed reduced FNC with the other networks with older age. Sex effects were not as widespread. No significant sex-by-age interactions were detected. Overall, we created a novel brain atlas, named Dev-Atlas, focused on a typically developing sample, with the hope that this atlas can be used in future independent developmental network neuroscience studies. Dev-Atlas is freely available to the research community.

neuroscience↗

bioRxiv2024

A biomimetic fruit fly robot for studying the neuromechanics of legged locomotion

For decades, the field of biologically inspired robotics has leveraged insights from animal locomotion to improve the walking ability of legged robots. Recently, "biomimetic" robots have been developed to model how specific animals walk. By prioritizing biological accuracy to the target organism rather than the application of general principles from biology, these robots can be used to develop detailed biological hypotheses for animal experiments, ultimately improving our understanding of the biological control of legs while improving technical solutions. In this work, we report the development and validation of the robot Drosophibot II, a meso-scale robotic model of an adult fruit fly, Drosophila melanogaster. This robot is novel for its close attention to the kinematics and dynamics of Drosophila, an increasingly important model of legged locomotion. Each legs proportions and degrees of freedom have been modeled after Drosophila 3D pose estimation data. We developed a program to automatically solve the inverse kinematics necessary for walking and solve the inverse dynamics necessary for mechatronic design. By applying this solver to a fly-scale body structure, we demonstrate that the robots dynamics fits those modeled for the fly. We validate the robots ability to walk forward and backward via open-loop straight line walking with biologically inspired foot trajectories. This robot will be used to test biologically inspired walking controllers informed by the morphology and dynamics of the insect nervous system, which will increase our understanding of how the nervous system controls legged locomotion.

bioengineering↗

bioRxiv2024

Helicases DDX5 and DDX17 promote Hepatitis B Virus transcription termination heterogeneity in infected human hepatocytes

Background & AimsTranscription termination fine tunes gene expression and contributes to specify the function of RNAs in eukaryotic cells. Transcription termination of hepatitis B virus (HBV) is subjected to the recognition of the canonical polyadenylation signal (cPAS) common to all viral transcripts. The regulation of the usage of this cPAS and its impact on viral gene expression and replication is currently unknown. Approach & ResultsTo unravel the regulation of HBV transcript termination, we implemented a 3 RACE-PCR assay coupled to single molecule sequencing both in in vitro infected hepatocytes and in chronically infected patients. The detection of a previously unidentified transcriptional readthrough indicated that the cPAS was not systematically recognized during HBV replication in vitro and in vivo. Gene expression downregulation experiments demonstrated a role for the RNA helicases DDX5 and DDX17 in promoting viral transcriptional readthrough, which was, in turn, associated to HBV RNA destabilization and decreased HBx protein expression. RNA and chromatin immunoprecipitation, together with mutation of cPAS sequence suggested a direct role of DDX5 and DDX17 in functionally linking cPAS recognition to transcriptional readthrough, HBV RNA stability and replication. ConclusionsOur findings identify DDX5 and DDX17 as crucial determinants for HBV transcriptional fidelity and as host restriction factors for HBV replication.

molecular biology↗

bioRxiv2023

Single molecule DNA methylation and hydroxymethylation reveal unique epigenetic identity profiles of T helper cells

Both identity and plasticity of CD4 T helper (Th) cells are regulated in part by epigenetic mechanisms. However, a method that reliably and readily profiles DNA base modifications is still needed to finely study Th cell differentiation. Cytosine methylation (5mC) and cytosine hydroxymethylation (5hmC) are DNA modifications that identify stable cell phenotypes but their potential to characterize intermediate cell transitions has not yet been evaluated. To assess transition states in Th cells, we developed a new method to profile Th cell identity using cas9-targeted single molecule nanopore sequencing and found that 5mC and 5hmC can be used as markers of cellular identity. Targeting as few as 10 selected genomic loci, we were able to distinguish major differentiated T cell subtypes as well as intermediate phenotypes by their native DNA 5mC/5hmC patterns. Moreover, by using off-target sequences we were able to infer transcription factor activities relevant to each cell subtype. Our analysis demonstrates the importance of epigenetic regulation by 5mC and 5hmC modifications in the establishment of Th cell identity. Furthermore, our data highlight the potential to exploit this immune profiling application to elucidate the pathogenic role of Th transition states in autoimmune diseases.

immunology↗

bioRxiv2020

Isolation and characterization of SARS-CoV-2 from the first US COVID-19 patient

The etiologic agent of the outbreak of pneumonia in Wuhan China was identified as severe acute respiratory syndrome associated coronavirus 2 (SARS-CoV-2) in January, 2020. The first US patient was diagnosed by the State of Washington and the US Centers for Disease Control and Prevention on January 20, 2020. We isolated virus from nasopharyngeal and oropharyngeal specimens, and characterized the viral sequence, replication properties, and cell culture tropism. We found that the virus replicates to high titer in Vero-CCL81 cells and Vero E6 cells in the absence of trypsin. We also deposited the virus into two virus repositories, making it broadly available to the public health and research communities. We hope that open access to this important reagent will expedite development of medical countermeasures. Article SummaryScientists have isolated virus from the first US COVID-19 patient. The isolation and reagents described here will serve as the US reference strain used in research, drug discovery and vaccine testing.

microbiology↗

bioRxiv2019

Genome-wide 5-hydroxymethylcytosine (5hmC) emerges at early stage of in vitro hepatocyte differentiation

How cells reach different fates despite using the same DNA template, is a basic question linked to differential patterns of gene expression. Since 5-hydroxymethylcytosine (5hmC) emerged as an intermediate metabolite in active DNA demethylation, there have been increasing efforts to elucidate its function as a stable modification of the genome, including a role in establishing such tissue-specific patterns of expression. Recently we described TET1-mediated enrichment of 5hmC on the promoter region of the master regulator of hepatocyte identity, HNF4A, which precedes differentiation of liver adult progenitor cells in vitro. Here we asked whether 5hmC is involved in hepatocyte differentiation. We found a genome-wide increase of 5hmC as well as a reduction of 5-methylcytosine at early hepatocyte differentiation, a time when the liver transcript program is already established. Furthermore, we suggest that modifying s-adenosylmethionine (SAM) levels through an adenosine derivative could decrease 5hmC enrichment, triggering an impaired acquisition of hepatic identity markers. These results suggest that 5hmC is a regulator of differentiation as well as an imprint related with cell identity. Furthermore, 5hmC modulation could be a useful biomarker in conditions associated with cell de-differentiation such as liver malignancies.\n\nGraphical AbstractIt has been suggested that 5-hydroxymethylcytosine (5hmC) is an imprint of cell identity. Here we show that commitment to a hepatocyte transcriptional program is characterized by a demethylation process and emergence of 5hmC at multiple genomic locations. Cells exposed to an adenosine derivative during differentiation did not reach such 5hmC levels, and this was associated with a lower expression of hepatocyte-markers. These results suggest that 5hmC enrichment is an important step on the road to hepatocyte cell fate.\n\nO_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

genomics↗

bioRxiv2019

The DNA Methylome of Inflammatory Bowel Disease (IBD) reflects intrinsic and extrinsic factors in intestinal epithelial cells

Abnormal DNA methylation has been described in human inflammatory conditions of the gastrointestinal tract, such as inflammatory bowel disease (IBD). As other complex diseases, IBD results from the balance between genetic predisposition and environmental exposures. As such, DNA methylation may be placed as an effector of both, genetic susceptibility variants and/or environmental signals such as cytokine exposure. We attempted to discern between these two non-excluding possibilities by performing a meta-analysis of DNA methylation data in intestinal epithelial cells of IBD and control samples. We identified abnormal DNA methylation at different levels: deviation from mean methylation signals at site and region levels, and differential variability. A fraction of such changes are associated with genetic polymorphisms linked to IBD susceptibility. In addition, by comparing with another intestinal inflammatory condition (i.e. celiac disease) we propose that aberrant DNA methylation can also be the result of unspecific processes such as chronic inflammation. Our characterization suggests that IBD methylomes combine intrinsic and extrinsic responses in intestinal epithelial cells, and could point to knowledge-based biomarkers of IBD detection and progression. Graphical AbstractConceptual representation of the study. Using a meta-analysis strategy we identified differentially methylated positions or regions (DMP/DMR) in IBD. Our assumption is that gene expression changes (IBD phenotype) take place downstream of DNA methylation. In turn, abnormal DNA methylation can be explained by a direct effect of inflammatory cytokines ("signaling") and/or the result of a genetic polymorphism (SNP). SNP-DMP associations are called methylation quantitative trait loci (mQTL). O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/565200v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@b9fc96org.highwire.dtl.DTLVardef@7619c5org.highwire.dtl.DTLVardef@1961352org.highwire.dtl.DTLVardef@1ce9d84_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗