Biology subjects

Goff, E.

Publications and source records attributed to Goff, E..

3 recordsLinked to original sources

bioRxiv2023

Changes in Environmental Stress over COVID-19 Pandemic Likely Contributed to Failure to Replicate Adiposity Phenotype Associated with Krtcap3

We previously identified Keratinocyte-associated protein 3, Krtcap3, as an obesity-related gene in female rats where a whole-body Krtcap3 knock-out (KO) led to increased adiposity compared to wild-type (WT) controls when fed a high-fat diet (HFD). We sought to replicate this work to better understand the function of Krtcap3 but were unable to reproduce the adiposity phenotype. In the current work, WT female rats ate more compared to WT in the prior study, with corresponding increases in body weight and fat mass, while there were no changes in these measures in KO females between the studies. The prior study was conducted before the COVID-19 pandemic, while the current study started after initial lock-down orders and was completed during the pandemic with a generally less stressful environment. We hypothesize that the environmental changes impacted stress levels and may explain the failure to replicate our results. Analysis of corticosterone (CORT) at euthanasia showed a significant study by genotype interaction where WT had significantly higher CORT relative to KO in Study 1, with no differences in Study 2. These data suggest that decreasing Krtcap3 expression may alter the environmental stress response to influence adiposity. We also found that KO rats in both studies, but not WT, experienced a dramatic increase in CORT after their cage mate was removed, suggesting a separate connection to social behavioral stress. Future work is necessary to confirm and elucidate the finer mechanisms of these relationships, but these data indicate the possibility of Krtcap3 as a novel stress gene.

molecular biology↗

bioRxiv2022

Keratinocyte-Associated Protein 3 is a novel gene for adiposity with differential effects in males and females

ObjectiveDespite the obesity crisis in the United States, the underlying genetics are poorly understood. Our lab previously identified Keratinocyte-associated protein 3, Krtcap3, as a candidate gene for adiposity where increased expression of Krtcap3 correlated with decreased fat mass. Here we seek to confirm that Krtcap3 expression affects adiposity traits. MethodsWe developed an in vivo whole-body Krtcap3 knock-out (KO) rat model. Wild-type (WT) and KO rats were placed onto a high-fat or low-fat diet at six weeks of age and were maintained on diet for 13 weeks, followed by assessments of metabolic health. We hypothesized that Krtcap3-KO rats will have increased adiposity and a worsened metabolic phenotype relative to WT. ResultsWe found that KO male and female rats have significantly increased body weight versus WT. KO females ate more, had more fat mass, but were also more insulin sensitive than WT. Alternatively, KO males weighed more and were more insulin resistant than WT, with no differences in eating or fat mass. ConclusionsThis study validates Krtcap3 in body weight regulation and demonstrates sex-specific effects on food intake, adiposity, and insulin sensitivity. Future studies will investigate how Krtcap3 is acting and seek to better understand these sex differences. Study Importance QuestionsWhat is already known about this subject? O_LIOver 900 low-risk, common genetic variants for BMI have been identified, but these still only explain a fraction of the heritability and many of the underlying causal genes remain unknown C_LIO_LIKrtcap3 has been identified as a candidate gene for obesity in both rats and humans, but no verification or functional studies have been done C_LI What are the new findings in your manuscript? O_LIIdentified Krtcap3 as a novel gene that impacts feeding behavior and adiposity in female rats C_LIO_LIDetermined that Krtcap3 impacts insulin sensitivity differentially in male and female rats C_LI How might your results change the direction of research or the focus of clinical practice? O_LIThis work may lead to identification of new pathways that contribute to obesity without metabolic complications, which will advance understanding of the biology of obesity and potentially identify novel drug targets C_LIO_LIThis work highlights the need to investigate sex differences in the genetics of obesity C_LI

genetics↗

bioRxiv2021

Large-scale quantification of human osteocyte lacunar morphological biomarkers as assessed by ultra-high-resolution desktop micro-computed tomography

Ultra-high-resolution imaging of the osteocyte lacuno-canalicular network (LCN) three-dimensionally (3D) in a high-throughput fashion has greatly improved the morphological knowledge about the constituent structures - positioning them as potential biomarkers. Technologies such as serial focused ion beam/scanning electron microscopy (FIB/SEM) and confocal scanning laser microscopy (CLSM) can image in extremely high resolution, yet only capture a small number of lacunae. Synchrotron radiation computed tomography (SR-CT) can image with both high resolution and high throughput but has a limited availability. Desktop micro-computed tomography (micro-CT) provides an attractive balance: high-throughput imaging on the micron level without the restrictions of SR-CT availability. Over the past decade, desktop micro-CT has been used to image osteocyte lacunae in a variety of animals, yet few studies have employed it to image human lacunae using clinical biopsies. In this study, accuracy, reproducibility, and sensitivity of large-scale quantification of human osteocyte lacunar morphometries were assessed by ultra-high-resolution desktop micro-computed tomography. For this purpose, thirty-one transiliac human bone biopsies containing trabecular and cortical regions were imaged using ultra-high-resolution desktop micro-CT at a nominal isotropic voxel resolution of 1.2m. The resulting 3D images were segmented, component labeled, and the following morphometric parameters of 7.71 million lacunae were measured: Lacunar number (Lc.N), density (Lc.N/BV), porosity (Lc.TV/BV), volume (Lc.V), surface area (Lc.S), surface area to volume ratio (Lc.S/Lc.V), stretch (Lc.St), oblateness (Lc.Ob), sphericity (Lc.Sr), equancy (Lc.Eq), and angle (Lc.{theta}). Accuracy was quantified by comparing automated lacunar identification to manual identification. Mean true positive rate (TPR), false positive rate (FPR), and false negative rate (FNR) were 89.0%, 3.4%, and 11.0%, respectively. Regarding the reproducibility of lacunar morphometry from repeated measurements, precision errors were low (0.2 - 3.0%) and intraclass correlation coefficients were high (0.960 - 0.999). Significant differences between cortical and trabecular regions (p<0.001) existed for Lc.N/BV, Lc.TV/BV, local lacunar surface area ( ), and local lacunar volume ( ), all of which demonstrate the sensitivity of the method and are possible biomarker candidates. This study provides the foundation required for future large-scale morphometric studies using ultra-high-resolution desktop micro-CT and high-throughput analysis of millions of osteocyte lacunae in human bone samples. Furthermore, the validation of this technology for imaging of human lacunar properties establishes the quality and reliability required for the accurate, precise, and sensitive assessment of osteocyte morphometry in clinical bone biopsies.

bioengineering↗