Publications by authors named "Wigmore E"

Background: Reverse total shoulder arthroplasty has gained popularity for various shoulder conditions and has evolved over time to accommodate for material changes and design philosophy including inverse materials. The tribological behaviour of shoulder arthroplasty has been extensively studied in relation to biological osteolysis which is a notable concern regarding component loosening.

Methods: This study aims to assess the wear performance of a vitamin E-stabilised glenosphere or conventional ultra-high-molecular-weight polyethylene glenosphere whilst paired with ceramic or cobalt-chrome-molybdenum inlay in a shoulder joint wear simulator.

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  • The Phase III CAPItello-291 trial showed that combining capivasertib (an AKT inhibitor) and fulvestrant (a SERD) improved progression-free survival for HR+ breast cancer patients after aromatase inhibitors, but prior treatment with CDK4/6 inhibitors may lessen the effectiveness of future endocrine therapies.
  • Researchers examined how CDK4/6 inhibitors affect the function of estrogen receptor-positive (ER+) breast cancer cells and their responses to fulvestrant and capivasertib, finding varied gene expression and signaling alterations in resistant cell lines.
  • Despite reduced efficacy and changes in cellular signaling in both RB+ and RB- resistant models, the combination therapy was still effective in reducing cell cycle activity
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Genome-wide association studies (GWASs) have established the contribution of common and low-frequency variants to metabolic blood measurements in the UK Biobank (UKB). To complement existing GWAS findings, we assessed the contribution of rare protein-coding variants in relation to 355 metabolic blood measurements-including 325 predominantly lipid-related nuclear magnetic resonance (NMR)-derived blood metabolite measurements (Nightingale Health Plc) and 30 clinical blood biomarkers-using 412,393 exome sequences from four genetically diverse ancestries in the UKB. Gene-level collapsing analyses were conducted to evaluate a diverse range of rare-variant architectures for the metabolic blood measurements.

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Aims: Leg length discrepancy (LLD) is a common pre- and postoperative issue in total hip arthroplasty (THA) patients. The conventional technique for measuring LLD has historically been on a non-weightbearing anteroposterior pelvic radiograph; however, this does not capture many potential sources of LLD. The aim of this study was to determine if long-limb EOS radiology can provide a more reproducible and holistic measurement of LLD.

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AZD4625 is a potent, selective, and orally bioavailable inhibitor of oncogenic KRASG12C as demonstrated in cellular assays and in vivo in preclinical cell line-derived and patient-derived xenograft models. In vitro and cellular assays have shown selective binding and inhibition of the KRASG12C mutant isoform, which carries a glycine to cysteine mutation at residue 12, with no binding and inhibition of wild-type RAS or isoforms carrying non-KRASG12C mutations. The pharmacology of AZD4625 shows that it has the potential to provide therapeutic benefit to patients with KRASG12C mutant cancer as either a monotherapy treatment or in combination with other targeted drug agents.

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Growth differentiation factor-15 (GDF15) is a stress response cytokine that is elevated in several cardiometabolic diseases and has attracted interest as a potential therapeutic target. To further explore the association of GDF15 with human disease, we conducted a broad study into the phenotypic and genetic correlates of GDF15 concentration in up to 14,099 individuals. Assessment of 772 traits across 6610 participants in FINRISK identified associations of GDF15 concentration with a range of phenotypes including all-cause mortality, cardiometabolic disease, respiratory diseases and psychiatric disorders, as well as inflammatory markers.

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Background: Antidepressants are a first-line treatment for depression. However, only a third of individuals experience remission after the first treatment. Common genetic variation, in part, likely regulates antidepressant response, yet the success of previous genome-wide association studies has been limited by sample size.

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Idiopathic pulmonary fibrosis (IPF) is a fatal disorder characterised by progressive, destructive lung scarring. Despite substantial progress, the genetic determinants of this disease remain incompletely defined. Using whole genome and whole exome sequencing data from 752 individuals with sporadic IPF and 119,055 UK Biobank controls, we performed a variant-level exome-wide association study (ExWAS) and gene-level collapsing analyses.

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Background: Schizophrenia is a neurodevelopmental disorder with many genetic variants of individually small effect contributing to phenotypic variation. Lower cortical thickness (CT), surface area, and cortical volume have been demonstrated in people with schizophrenia. Furthermore, a range of obstetric complications (e.

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Objectives: Antidepressants are the most commonly prescribed psychiatric medication but concern has been raised about significant increases in their usage in high income countries. We aimed to quantify antidepressant prevalence, incidence, adherence and predictors of use in the adult population.

Methods: The study record-linked administrative prescribing and morbidity data to the Generation Scotland cohort ( N = 11,052), between 2009 and 2016.

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  • * A meta-analysis of data from over 807,000 individuals identified 102 genetic variants and 269 genes related to depression, highlighting the role of synaptic structure and neurotransmission pathways.
  • * In a follow-up study with more than 1.3 million individuals, 87 of the identified variants were confirmed, offering insights into the genetic basis of depression and potential new directions for treatment development.
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Antidepressants demonstrate modest response rates in the treatment of major depressive disorder (MDD). Despite previous genome-wide association studies (GWAS) of antidepressant treatment response, the underlying genetic factors are unknown. Using prescription data in a population and family-based cohort (Generation Scotland: Scottish Family Health Study; GS:SFHS), we sought to define a measure of (a) antidepressant treatment resistance and (b) stages of antidepressant resistance by inferring antidepressant switching as non-response to treatment.

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  • Depression is influenced by multiple genes, and larger studies have found more genetic variants linked to it.
  • A genome-wide study with 322,580 participants identified 17 significant genetic locations associated with various forms of depression, with many potentially representing new discoveries.
  • The study's results indicate that broad depression is the most useful phenotype for exploring the genetic basis and biological processes related to depression.
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Few replicable genetic associations for Major Depressive Disorder (MDD) have been identified. Recent studies of MDD have identified common risk variants by using a broader phenotype definition in very large samples, or by reducing phenotypic and ancestral heterogeneity. We sought to ascertain whether it is more informative to maximize the sample size using data from all available cases and controls, or to use a sex or recurrent stratified subset of affected individuals.

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Background: Cognitive ability is a heritable trait with a polygenic architecture, for which several associated variants have been identified using genotype-based and candidate gene approaches. Haplotype-based analyses are a complementary technique that take phased genotype data into account, and potentially provide greater statistical power to detect lower frequency variants.

Methods: In the present analysis, three cohort studies (n = 48,002) were utilised: Generation Scotland: Scottish Family Health Study (GS:SFHS), the English Longitudinal Study of Ageing (ELSA), and the UK Biobank.

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Major depressive disorder (MDD) is a heritable and highly debilitating condition. It is commonly associated with subcortical volumetric abnormalities, the most replicated of these being reduced hippocampal volume. Using the most recent published data from Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) consortium's genome-wide association study of regional brain volume, we sought to test whether there is shared genetic architecture between seven subcortical brain volumes and intracranial volume (ICV) and MDD.

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Major depressive disorder (MDD) and Alzheimer's disease (AD) are both common in older age and frequently co-occur. Numerous phenotypic studies based on clinical diagnoses suggest that a history of depression increases risk of subsequent AD, although the basis of this relationship is uncertain. Both illnesses are polygenic, and shared genetic risk factors could explain some of the observed association.

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Major depressive disorder (MDD), schizophrenia (SCZ) and bipolar disorder (BP) are common, disabling and heritable psychiatric diseases with a complex overlapping polygenic architecture. Individuals with these disorders, as well as their unaffected relatives, show widespread structural differences in corticostriatal and limbic networks. Structural variation in many of these brain regions is also heritable and polygenic but whether their genetic architecture overlaps with that of major psychiatric disorders is unknown.

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Major depressive disorder (MDD) is known for its substantial clinical and suspected causal heterogeneity. It is characterized by low mood, psychomotor slowing and increased levels of the personality trait neuroticism; factors also associated with schizophrenia (SCZ). It is possible that some cases of MDD may have a substantial genetic loading for SCZ.

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Background: Chronic pain is highly prevalent and a significant source of disability, yet its genetic and environmental risk factors are poorly understood. Its relationship with major depressive disorder (MDD) is of particular importance. We sought to test the contribution of genetic factors and shared and unique environment to risk of chronic pain and its correlation with MDD in Generation Scotland: Scottish Family Health Study (GS:SFHS).

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  • The study investigates how consistent phenotypes are among different laboratories when growing Arabidopsis thaliana plants with the same genotypes under standardized conditions.
  • Results showed that while some labs produced similar leaf growth phenotypes, notable differences emerged in other variables that could change genotype rankings.
  • Additionally, variations in growing conditions, particularly light quality, significantly impacted the phenotypes and molecular profiles, emphasizing the importance of precise environmental control for reproducibility in biological research.
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