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Taylor, C. G.

Publications and source records attributed to Taylor, C. G..

3 recordsLinked to original sources

Increased capacity to maintain glucose homeostasis in a transgenic mouse expressing human but not mouse growth hormone with developing high fat diet-related insulin resistance, steatosis and adipose dysfunction

ObjectiveDifferences in primate and non-primate growth hormone (GH) genes can affect their regulation and function. This includes the ability of human (h) but not mouse (m) GH to bind the prolactin (PRL) receptor (PRLR) as well as the GH receptor (GHR). Potential differential effects were assessed in male hGH- or mGH-expressing mice and fed high fat diet (HFD) versus regular chow diet (RCD). Pancreas and epididymal white adipose tissue (eWAT) gene expression and/or related function were targeted as the pancreas responds to both PRLR and GHR signaling and catabolic effects like lipolytic activity are more directly attributable to GH and GHR signaling. DesignA transgenic CD-1 mouse expressing hGH but not mGH under hypothalamic control was generated to compare with wild type CD-1 mice and size and bone density determined. Glucose clearance, islet area, insulin and insulin-like growth factor (IGF) -2 gene expression were assessed as well as serum glucose and insulin levels in mice fed a HFD versus RCD for 8 and 24 weeks. Adiposity, liver and serum triglycerides as well as eWAT cell area, cytokine (leptin and adiponectin) and senescence-related marker (p21CIP1 and p16INK4a) RNA levels were also assessed. ResultsMale hGH-expressing transgenic CD-1[{Delta}mGH.hGH] mice have significantly lower liver IGF-1 RNA levels and are smaller based on length and weight than wild type CD-1[mGH] mice. They also have [~]1.5-fold higher total body fat and serum triglyceride levels. However, CD-1[{Delta}mGH.hGH] and CD-1[mGH] mice grow at the same rate with similar cortical and trabecular bone densities. Unlike CD-1[mGH] mice, there was no significant delay in glucose clearance in CD-1[{Delta}mGH.hGH] mice after 8 weeks on a HFD versus RCD; while basal (RCD) serum insulin levels were similar, fasting glucose levels were lower and pancreas IGF-2 RNA levels were increased in CD-1[{Delta}mGH.hGH] mice. However, both CD-1[{Delta}mGH.hGH] and CD-1[mGH] showed evidence of increased insulin resistance after 24 weeks on HFD, including delayed glucose clearance in spite of increased pancreatic islet area and insulin production as well as signs of liver steatosis and increased hepatic triglyceride levels. These increases correlated with elevated PRLR but not GHR RNA levels. Assessment of eWAT revealed >2-fold larger adipocytes in CD-1[{Delta}mGH.hGH] compared to CD-1 [mGH] mice fed RCD at both 12 and 28 weeks. This was associated with an [~]2.6-fold increase in leptin RNA levels at 12 weeks and [~]58% lower adiponectin RNA levels at 28 weeks. A >2-fold increase in p21CIP1 transcript levels was also detected in eWAT from both CD-1[{Delta}mGH.hGH] and CD-1 [mGH] mice fed RCD with age (28 versus 12 weeks) but were unaffected by diet. However, a >2-fold increase in p16INK4a RNA levels was observed after 24 weeks on HFD. ConclusionsWhile limited to observations in the male, transgenic CD-1[{Delta}mGH.hGH] mice exhibit signs of GH insufficiency and eWAT adipocyte dysfunction. These mice also show an initial resistance to the negative effects of HFD on glucose clearance when compared to CD-1[mGH] mice, which is potentially related to a differential effect of hGH versus mGH on pancreas development and/or function.

physiology↗

Direct digital sensing of proteins through single-molecule optofluidics

The detection of proteins is of central importance to biomolecular analysis and diagnostics, yet fundamental limitations due to the surface-based nature of most sensing approaches persist, and limited improvements have been designed to integrate multimodal information beyond concentration measurements. Here we present a single-molecule microfluidic sensing platform for digital protein biomarker detection in solution, termed digital immunosensor assay (DigitISA). DigitISA is based on microchip electrophoretic separation combined with single-molecule detection and enables absolute number-concentrations quantification of proteins in a single, solution-phase step. Applying DigitISA to a range of targets including amyloid aggregates, exosomes, and biomolecular condensates, we demonstrate that the assay provides information beyond stoichiometric interactions, and enables characterization of immunochemistry, binding affinity, and protein biomarker abundance. Together, DigitISA constitutes a new experimental paradigm for the digital sensing of protein biomarkers, and enables analyses of targets that would otherwise be hard or impossible to address by conventional immuno-sensing techniques.

biophysics↗

ADSoluble aggregates present in cerebrospinal fluid change in size and mechanism of toxicity during Alzheimer's disease progression

Soluble aggregates of amyloid-{beta} (A{beta}) have been associated with neuronal and synaptic loss in Alzheimers disease (AD). However, despite significant recent progress, the mechanisms by which these aggregated species contribute to disease progression are not fully determined. As the analysis of human cerebrospinal fluid (CSF) provides an accessible window into the molecular changes associated with the disease progression, we studied the soluble A{beta} aggregates present in CSF samples from individuals with AD, mild cognitive impairment (MCI) and healthy controls. We found that these aggregates vary structurally and in their mechanisms of toxicity. More small aggregates of A{beta} that can cause membrane permeabilization already found in MCI; in established AD, the aggregates were larger and more prone to elicit a pro-inflammatory response in glial cells. These results suggest that different neurotoxic mechanisms are prevalent at different stages of AD.

neuroscience↗