Biology subjects

Gilmer, G.

Publications and source records attributed to Gilmer, G..

5 recordsLinked to original sources

bioRxiv2023

Mapping the landscape of magnetic field effects on neural regeneration and repair: a systematic review, mathematical model, and meta-analysis

Although magnetic field exposure is a well-established diagnostic tool, its use as a therapeutic in regenerative medicine is relatively new. Our goal here was to evaluate how magnetic fields affect neural repair in vitro by performing a systematic review of the literature, mathematical modeling, and meta-analyses. The 38 included articles presented with high heterogeneity, representing 13 cell types, magnitudes ranging from 0.0002-10,000 mT, frequencies from 0-150 Hz, and exposure times lasting from one hour to several weeks. Mathematical modeling revealed that increasing magnetic field magnitude increases neural progenitor cell (NPC) viability. For regenerative processes that were not influenced by magnitude, frequency, and time, we integrated data with meta-analyses. Results revealed that magnetic field exposure increases NPC proliferation while decreasing astrocytic differentiation. Collectively, our work identifies neural repair processes that may be most responsive to magnetic field exposure and provides a framework for novel hypothesis and technology development.

neuroscience↗

bioRxiv2023

A network medicine approach to elucidate mechanisms underlying menopause-induced knee osteoarthritis

Post-menopausal women present with the highest incidence and morbidity of knee osteoarthritis (KOA), but no disease-modifying therapies are available. This treatment gap may be driven by the absence of menopause in preclinical studies, as rodents do not naturally maintain a menopausal phenotype. Here, we employed a chemically-induced menopause model to map the trajectory of KOA at the tissue and proteome levels and test therapeutics in silico. Middle-aged female mice were randomized to sesame oil (non-menopause) or 4-vinycyclohexene diepoxide (menopause) injections. Following comprehensive validation of our model, knees were collected across perimenopause and menopause for histology, and cartilage samples were micro-dissected for mass spectrometry proteomics. Menopause mice displayed aggravated cartilage degeneration and synovitis relative to non-menopause mice. An unbiased pathway analysis revealed progesterone as a predominant driver of pathological signaling cascades within the cartilage proteome. Network medicine-based analyses suggested that menopause induction amplifies chondrocyte senescence, actin cytoskeleton-based stress, and extracellular matrix disassembly. We then used in silico drug testing to evaluate how restoration of sex hormones impacted the cartilage network. The greatest restoration was observed with combined estradiol/progesterone treatment (i.e., hormone therapy), although in silico treatment with a senolytic drug also partially recovered the cartilage proteome. Taken together, our findings using a translatable female aging model demonstrate that menopausal aging induces progressive cartilage degeneration and amplifies age-related synovitis. These changes may be driven by a previously unappreciated role of progesterone loss and menopause-induced cellular senescence. Lastly, in silico treatment suggests an estradiol/progesterone cocktail or senolytics may attenuate menopause-induced cartilage pathology. One Sentence SummaryMenopause induces cartilage degradation, senescence, and extracellular matrix disassembly, while hormone therapy restores the cartilage proteome.

pathology↗

bioRxiv2023

Dynamical modeling reveals RNA decay mediates the effect of matrix stiffness on aged muscle stem cell fate

Loss of muscle stem cell (MuSC) self-renewal with aging reflects a combination of influences from the intracellular (e.g., post-transcriptional modifications) and extracellular (e.g., matrix stiffness) environment. Whereas conventional single cell analyses have revealed valuable insights into factors contributing to impaired self-renewal with age, most are limited by static measurements that fail to capture nonlinear dynamics. Using bioengineered matrices mimicking the stiffness of young and old muscle, we showed that while young MuSCs were unaffected by aged matrices, old MuSCs were phenotypically rejuvenated by young matrices. Dynamical modeling of RNA velocity vector fields in silico revealed that soft matrices promoted a self-renewing state in old MuSCs by attenuating RNA decay. Vector field perturbations demonstrated that the effects of matrix stiffness on MuSC self-renewal could be circumvented by fine-tuning the expression of the RNA decay machinery. These results demonstrate that post-transcriptional dynamics dictate the negative effect of aged matrices on MuSC self-renewal. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC="FIGDIR/small/529950v2_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1a840corg.highwire.dtl.DTLVardef@d354cforg.highwire.dtl.DTLVardef@650556org.highwire.dtl.DTLVardef@41587c_HPS_FORMAT_FIGEXP M_FIG Graphical abstract description: The balance of self-renewal and differentiation in young muscle stem cells (MuSCs) is robust to perturbations of the biophysical microenvironment. In contrast, aged MuSCs are highly sensitive to extrinsic perturbations, and exposure to a youthful microenvironment rejuvenates the self-renewing potential of aged MuSCs by modulating post-transcriptional RNA dynamics. C_FIG

cell biology↗

bioRxiv2021

Meta-analysis and multi-omics to elucidate pathogenic mechanisms of age-related knee osteoarthritis

Increased mechanistic insight into the pathogenesis of knee osteoarthritis (KOA) is needed to develop efficacious disease-modifying treatments. Though age-related pathogenic mechanisms are most relevant to the great majority of KOA seen clinically, the bulk of our mechanistic understanding of KOA has been derived using surgically induced post-traumatic OA (PTOA) models. Here, we took an integrated approach of meta-analysis and multi-omics to elucidate pathogenic mechanisms of age-related KOA in murine model. Protein-level data together with transcriptomic profiling revealed inflammation, autophagy, and cellular senescence as primary hallmarks of age-related KOA. Importantly, the molecular profiles of aged cartilage were unique from those in PTOA, with only 1% overlap between the two. At the nexus of aging hallmarks, Advanced Glycation End-Product (AGE)/Receptor for AGE emerged as intrinsically linked to age-related KOA. This pathway was further validated by mass spectrometry. Collectively, these findings implicate dysregulation of AGE-RAGE signaling as a key driver of age-related KOA.

molecular biology↗

bioRxiv2021

Age-related increase in matrix stiffness downregulates α-Klotho in chondrocytes and induces cartilage degeneration

Enhanced mechanistic insight into age-related knee osteoarthritis (KOA) is an essential step to promote successful translation of animal research to bedside interventions. To this end, the goal of these studies was to interrogate molecular mechanisms driving age-related KOA in a mouse model and correspond findings to human knee cartilage. Unbiased mass spectrometry proteomics of cartilage tissue revealed PI3K/Akt signaling was the predominant pathway disrupted over time in male, but not female, mice. This finding was consistent with a significantly accelerated KOA progression in males when compared to female counterparts. In probing for upstream regulators of these age-dependent alterations, we found that -Klotho, a suppressor of PI3K/Akt signaling and potent longevity protein, significantly decreased with aging in both mouse and human knee cartilage. Upstream of these alterations, we found that age-related increases in matrix stiffness initiated a cascade of altered nuclear morphology and downregulated -Klotho expression, ultimately impairing chondrocyte health. Conversely, reducing matrix stiffness increased -Klotho expression in chondrocytes, thus enhancing their chondrogencity and cartilage integrity. Collectively, our findings establish a novel mechanistic link between age-related alterations in ECM biophysical properties and regulation of cartilage health by -Klotho.

molecular biology↗