Biology subjects

White, J. D.

Publications and source records attributed to White, J. D..

9 recordsLinked to original sources

bioRxiv2025

In harmony? A scoping review of methods to combine multiple 16S amplicon data sets

Robust evidence on relationships between the human microbiome and health are critical for understanding and improving the human condition. However, there is little information about methodological approaches to combine and analyze multiple microbiome data sets. To address this gap, we conducted a scoping review of studies that combine sequencing data from multiple data sets to understand the study objectives, data sources and selection, feature -table assembly methods, and analyses. References were identified through a systematic search of literature published between 2011 and 2022. Our final review included 60 articles. Despite the wide-spread use of the word "meta-analysis," we found that only 24 studies used a systematic process to select their data sets, suggesting multiple meanings of the term within the field. While more than two thirds of studies used at least one publicly available data source, 19 had to request data from the original authors. Most studies (60%) combined data sets from multiple disjoint hypervariable regions. The number of hypervariable regions combined was not associated with the table construction method, but feature table construction method and the number of hypervariable regions influenced analytical resolution. Our results suggest the microbiome community needs to examine the use of terminology and analytic approaches for combining data sets; that additional work is needed to explore the impact of data source on bias in combined studies; and invite an independent evaluation of the methods used for feature table construction across disjoint regions.

microbiology↗

bioRxiv2023

Early Deprivation Impairs Perforant Pathway Connectivity and Contextual Memory in Adolescent Male Mice

Early-life adversity causes reduced hippocampal volume and abnormal hippocampal connectivity and function, with evidence indicating more prominent deficits in males compared to females. Reelin-positive projections from the lateral entorhinal cortex (LEC) to the dorsal hippocampus are essential for encoding contextual and semantic memories in diverse mammalian species, including humans and rodents. However, the impact of early-life adversity on these projections and their contribution to hippocampal-dependent deficits have not been reported. Using a modified limited bedding (LB) mouse model of early adversity that extends the impoverished conditions from birth to postnatal day 25 (P25), we found severe impairment in contextual fear conditioning for adolescent LB male but not LB female mice. Using retrograde tracing, we found that the number of reeling-positive projections from the LEC to the dorsal hippocampus is significantly reduced in LB males but not LB females. Further, the number of projections was highly correlated with deficits in contextual memory and hypomyelination in perforant pathway terminals located in the dorsal hippocampus. Ex vivo high-resolution diffusion magnetic resonance imaging confirmed reduced structural connectivity between the entorhinal cortex and the dorsal hippocampus and revealed extensive cortical atrophy that resembled abnormalities reported in children exposed to severe deprivation. Given the essential role that reelin-positive projections play in contextual memory, these findings suggest a novel mechanism to explain the pronounced contextual memory deficits seen in LB males.

neuroscience↗

bioRxiv2022

Exercise Training Remodels Adipocyte-Specific Extracellular Matrix Proteins and Alters Innervation and Vascularization in Inguinal White Adipose Tissue (iWAT)

Inguinal white adipose tissue (iWAT) is essential for the beneficial effects of exercise training on metabolic health. Extracellular matrix (ECM) composition, innervation, and vascularization are all important regulators of iWAT function, yet whether exercise training improves these structural components of iWAT is unknown. Using biochemical, imaging, and multi-omics analyses we find that 11-days of wheel running in male mice causes profound iWAT remodeling including decreased ECM deposition and increased vascularization and innervation. We identify adipose stem cells as the main contributors to training-induced ECM remodeling, determine that training causes a shift from hypertrophic to insulin-sensitive adipocyte subpopulations, show that the PRDM16 transcriptional complex is necessary for iWAT remodeling and beiging, and discover neuronal growth regulator 1 (NEGR1) as a link between PRDM16 and neuritogenesis. Exercise training leads to remarkable adaptations to iWAT structure and cell-type composition that can confer beneficial changes in tissue metabolism. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/503375v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@fd590eorg.highwire.dtl.DTLVardef@e1dd02org.highwire.dtl.DTLVardef@74be24org.highwire.dtl.DTLVardef@6f6e58_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2020

Insights into the genetic architecture of the human face

The human face is complex and multipartite, and characterization of its genetic architecture remains intriguingly challenging. Applying GWAS to multivariate shape phenotypes, we identified 203 genomic regions associated with normal-range facial variation, 117 of which are novel. The associated regions are enriched for both genes relevant to craniofacial and limb morphogenesis and enhancer activity in cranial neural crest cells and craniofacial tissues. Genetic variants grouped by their contribution to similar aspects of facial variation show high within-group correlation of enhancer activity, and four SNP pairs display evidence of epistasis, indicating potentially coordinated actions of variants within the same cell types or tissues. In sum, our analyses provide new insights for understanding how complex morphological traits are shaped by both individual and coordinated genetic actions.

genetics↗

bioRxiv2019

Robust Genome-Wide Ancestry Inference for Heterogeneous Datasets and Ancestry Facial Imaging based on the 1000 Genomes Project

Accurate inference of genomic ancestry is critically important in human genetics, epidemiology, and related fields. Geneticists today have access to multiple heterogeneous population-based datasets from studies collected under different protocols. Therefore, joint analyses of these datasets require robust and consistent inference of ancestry, where a common strategy is to yield an ancestry space generated by a reference dataset. However, such a strategy is sensitive to batch artefacts introduced by different protocols. In this work, we propose a novel robust genome-wide ancestry inference method; referred to as SUGIBS, based on an unnormalized genomic (UG) relationship matrix whose spectral (S) decomposition is generalized by an Identity-by-State (IBS) similarity degree matrix. SUGIBS robustly constructs an ancestry space from a single reference dataset, and provides a robust projection of new samples, from different studies. In experiments and simulations, we show that, SUGIBS is robust against individual outliers and batch artifacts introduced by different genotyping protocols. The performance of SUGIBS is equivalent to the widely used principal component analysis (PCA) on normalized genotype data in revealing the underlying structure of an admixed population and in adjusting for false positive findings in a case-control admixed GWAS. We applied SUGIBS on the 1000 Genome project, as a reference, in combination with a large heterogeneous dataset containing auxiliary 3D facial images, to predict population stratified average or ancestry faces. In addition, we projected eight ancient DNA profiles into the 1000 Genome ancestry space and reconstructed their ancestry face. Based on the visually strong and recognizable human facial phenotype, comprehensive facial illustrations of the populations embedded in the 1000 Genome project are provided. Furthermore, ancestry facial imaging has important applications in personalized and precision medicine along with forensic and archeological DNA phenotyping. Author SummaryEstimates of individual-level genomic ancestry are routinely used in human genetics, epidemiology, and related fields. The analysis of population structure and genomic ancestry can yield significant insights in terms of modern and ancient population dynamics, allowing us to address questions regarding the timing of the admixture events, and the numbers and identities of the parental source populations. Unrecognized or cryptic population structure is also an important confounder to correct for in genome-wide association studies (GWAS). However, to date, it remains challenging to work with heterogeneous datasets from multiple studies collected by different laboratories with diverse genotyping and imputation protocols. This work presents a new approach and an accompanying open-source software toolbox that facilitates a robust integrative analysis for population structure and genomic ancestry estimates for heterogeneous datasets. Given that visually evident and easily recognizable patterns of human facial characteristics covary with genomic ancestry, we can generate predicted ancestry faces on both the population and individual levels as we illustrate for the 26 1000 Genome populations and for eight eminent ancient-DNA profiles, respectively.

genetics↗

bioRxiv2019

MeshMonk: Open-source large-scale intensive 3D phenotyping

In the post-genomics era, an emphasis has been placed on disentangling genotype-phenotype connections so that the biological basis of complex phenotypes can be understood. However, our ability to efficiently and comprehensively characterize phenotypes lags behind our ability to characterize genomes. Here, we report a toolbox for fast and reproducible high-throughput dense phenotyping of 3D images. Given a target image, a rigid registration is first used to orient a template to the target surface, then the template is transformed further to fit the specific shape of the target using a non-rigid transformation model. As validation, we used N = 41 3D facial images registered with MeshMonk and manually landmarked at 19 locations. We demonstrate that the MeshMonk registration is accurate, with 0.62 mm as the average root mean squared error between the manual and automatic placements and no variation in landmark position or centroid size significantly attributable to landmarking method used. Though validated using 19 landmarks for comparison with traditional methods, MeshMonk allows for automatic dense phenotyping, thus facilitating more comprehensive investigations of 3D shape variation. This expansion opens up an exciting avenue of study in assessing genomic and phenomic data to better understand the genetic contributions to complex morphological traits.

evolutionary biology↗

bioRxiv2018

Facial masculinity does not appear to be a condition-dependent male ornament in humans and does not reflect MHC heterozygosity

Facial masculinity is thought to be a condition-dependent male ornament, reflecting immunocompetence in humans. To test this hypothesis, we calculated an objective measure of facial masculinity/femininity using three-dimensional images in a large sample (N = 1,233) of people of European ancestry. We show that facial masculinity is positively correlated with adult height in both males and females. This suggests that variation in growth contributes, at least in part, to variation in facial masculinity, which is characteristic of condition-dependent traits. However, facial masculinity scales with growth similarly in males and females, suggesting that facial masculinity is not specifically a male ornament. Additionally, we measured immunocompetence via heterozygosity at the major histocompatibility complex (MHC), a well known genetic marker of immunity. We show that while height is positively correlated with MHC heterozygosity, facial masculinity is not. Thus, facial masculinity does not reflect immunocompetence measured by MHC heterozygosity in humans as thought previously. Overall, we find no support for the idea that facial masculinity is a condition-dependent male ornament that has evolved to indicate immunocompetence.

evolutionary biology↗

bioRxiv2018

Low dose resveratrol promotes hypertrophy in wildtype skeletal muscle and reduces damage in skeletal muscle of exercised mdx mice.

Duchenne muscular dystrophy (DMD) is a progressive and fatal neuromuscular disorder for which there is no treatment. Therapies to restore dystrophin deficiency are not ready for clinical use and long-term efficiency is yet to be established. Therefore, there is a need to develop alternative strategies to treat DMD. Resveratrol is a nutraceutical with anti-inflammatory properties and previous studies have shown that high doses can benefit mdx mice. We treated 4-week-old mdx and wildtype mice with low-dose resveratrol (5mg/kg bodyweight/day) for 15 weeks. A voluntary exercise protocol was added to test if low dose resveratrol could reduce exercise-induced damage. We showed that resveratrol promoted skeletal muscle hypertrophy in the wildtype mice. There was no change in markers of pathology in the mdx mice; however, the low-dose resveratrol reduced exercised induced damage. Gene expression of immune cell markers such as CD86, CD163 and PCNA was reduced; however signalling targets associated with resveratrols mechanism of action of action including SIRT1 and NF-{kappa}B were unchanged. In conclusion, low-dose resveratrol was not effective in reducing disease pathology; however, its ability to promote hypertrophy in wildtype skeletal muscle could have direct applications to the livestock industry or in sports medicine.

physiology↗

bioRxiv2018

Benfotiamine reduces pathology and improves muscle function in mdx mice.

Duchenne Muscular Dystrophy (DMD) is a progressive and fatal neuromuscular disease which arises from mutations in the dystrophin gene (DMD) that result in the absence or severe reduction of the cytoskeletal protein dystrophin. In addition to the primary dystrophin defect, secondary processes such as inflammation, calcium influx, dysregulated autophagy and fibrosis exacerbate dystrophic pathology and thus increase disease progression. While therapies to restore dystrophin deficiency are being developed, strategies which target these secondary processes could be of benefit to patients. Benfotiamine is a lipid soluble precursor to thiamine that can reduce secondary processes such as inflammation and oxidative stress in diabetic patients. As such we tested it in the mdx mouse model of DMD and found that benfotiamine reduced multiple markers of dystrophic pathology and improved grip strength. In addition, members of the utrophin and dystrophin glycoprotein complexes were significantly increased at the sarcolemma which could improve cell adhesion. We also demonstrated that benfotiamine treatment lowered the expression of macrophage markers and pro-inflammatory cytokines suggesting that benfotiamine is reducing dystrophic pathology by acting on inflammatory processes.

physiology↗