👤 Mia B Hodges

Sleep and physical activity are modifiable behaviours linked to pain. Sleep disturbance often co-occurs with persistent pain and may contribute to its development. Exercise is a first-line treatment for chronic pain. Previous work showed that sleep disturbance worsens and prolongs postinjury pain behaviours, exercise mitigates these effects, and brain-derived neurotrophic factor may play a mechanistic role. Deeper insight requires a broader assessment of pain behaviours and systemic biomarkers related to inflammation, tissue repair, and neuromodulation. This study addresses these gaps. Twenty-nine adult female Sprague-Dawley rats performed an intensive lever-pulling task for 4 weeks to induce overuse injury and then underwent one of three 4-week interventions: intermittent sleep disturbance, voluntary exercise (via access to a running wheel), or both. Pain-related behaviours and 71 blood analytes were measured immediately preinjury, postinjury, and postintervention. Overuse injury decreased grip strength and increased mechanical sensitivity in the injured forepaws. After cessation of the injury inducing task, these changes persisted with sleep disturbance but recovered to, or exceeded, preinjury levels with exercise, even with concurrent sleep disturbance. Biomarker analyses revealed distinct neuroimmune responses to injury and sleep disturbance, particularly mediators of inflammation and neuroplasticity, that were offset by exercise. Correlations between biomarkers and behavioural outcomes support mechanistic links between injury, sleep, exercise, and recovery. Findings demonstrate that postinjury sleep disturbance induces neuroimmune changes that increase persistent pain vulnerability, whereas aerobic exercise counters these effects. This highlights the interaction between sleep and exercise in recovery and their potential as strategies to prevent and manage chronic pain. Show less

Lung cancer is the leading cause of cancer mortality in the United States (U.S.). Squamous cell carcinoma (SQCC) represents 22.6% of all lung cancers nationally, and 26.4% in Appalachian Kentucky (AppKY), where death from lung cancer is exceptionally high. The Cancer Genome Atlas (TCGA) characterized genetic alterations in lung SQCC, but this cohort did not focus on AppKY residents. Whole-exome sequencing was performed on tumor and normal DNA samples from 51 lung SQCC subjects from AppKY. Somatic genomic alterations were compared between the AppKY and TCGA SQCC cohorts. From this AppKY cohort, we identified an average of 237 nonsilent mutations per patient and, in comparison with TCGA, we found that This study has identified an increased percentage of Our study is the first report to characterize genomic alterations in lung SQCC from AppKY. These findings suggest population differences in the genetics of lung SQCC between AppKY and U.S. populations, highlighting the importance of the relevant population when developing personalized treatment approaches for this disease. Show less

The cost of genomic information has fallen steeply, but the clinical translation of genetic risk estimates remains unclear. We aimed to undertake an integrated analysis of a complete human genome in a clinical context. We assessed a patient with a family history of vascular disease and early sudden death. Clinical assessment included analysis of this patient's full genome sequence, risk prediction for coronary artery disease, screening for causes of sudden cardiac death, and genetic counselling. Genetic analysis included the development of novel methods for the integration of whole genome and clinical risk. Disease and risk analysis focused on prediction of genetic risk of variants associated with mendelian disease, recognised drug responses, and pathogenicity for novel variants. We queried disease-specific mutation databases and pharmacogenomics databases to identify genes and mutations with known associations with disease and drug response. We estimated post-test probabilities of disease by applying likelihood ratios derived from integration of multiple common variants to age-appropriate and sex-appropriate pre-test probabilities. We also accounted for gene-environment interactions and conditionally dependent risks. Analysis of 2.6 million single nucleotide polymorphisms and 752 copy number variations showed increased genetic risk for myocardial infarction, type 2 diabetes, and some cancers. We discovered rare variants in three genes that are clinically associated with sudden cardiac death-TMEM43, DSP, and MYBPC3. A variant in LPA was consistent with a family history of coronary artery disease. The patient had a heterozygous null mutation in CYP2C19 suggesting probable clopidogrel resistance, several variants associated with a positive response to lipid-lowering therapy, and variants in CYP4F2 and VKORC1 that suggest he might have a low initial dosing requirement for warfarin. Many variants of uncertain importance were reported. Although challenges remain, our results suggest that whole-genome sequencing can yield useful and clinically relevant information for individual patients. National Institute of General Medical Sciences; National Heart, Lung And Blood Institute; National Human Genome Research Institute; Howard Hughes Medical Institute; National Library of Medicine, Lucile Packard Foundation for Children's Health; Hewlett Packard Foundation; Breetwor Family Foundation. Show less